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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2022.970563</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Regulation of the cecal microbiota community and the fatty liver deposition by the addition of brewers&#x2019; spent grain to feed of Landes geese</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Ping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hong</surname> <given-names>Yuxuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Pinpin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Shijie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Jie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Meng</surname> <given-names>Fancong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Zutao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/431260/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Shi</surname> <given-names>Deshi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1207637/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Zili</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/339927/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cao</surname> <given-names>Shengbo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xiao</surname> <given-names>Yuncai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/525731/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Veterinary Medicine, Huazhong Agricultural University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Huazhong Agricultural University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Tang Zhaoxin, South China Agricultural University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Abdel-Moneim Eid Abdel-Moneim, Egyptian Atomic Energy Authority, Egypt; Kwang-Youn Whang, Korea University, South Korea</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yuncai Xiao, <email>xyc88@mail.hzau.edu.cn</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Microorganisms in Vertebrate Digestive Systems, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>970563</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>06</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Xu, Hong, Chen, Wang, Li, Wang, Meng, Zhou, Shi, Li, Cao and Xiao.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Xu, Hong, Chen, Wang, Li, Wang, Meng, Zhou, Shi, Li, Cao and Xiao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The effects of brewers&#x2019; spent grain (BSG) diets on the fatty liver deposition and the cecal microbial community were investigated in a total of 320 healthy 5-day-old Landes geese. These geese were randomly and evenly divided into 4 groups each containing 8 replicates and 10 geese per replicate. These four groups of geese were fed from the rearing stage (days 5&#x2013;60) to the overfeeding stage (days 61&#x2013;90). The Landes geese in group C (control) were fed with basal diet (days 5&#x2013;90); group B fed first with basal diet in the rearing stage and then basal diet + 4% BSG in the overfeeding stage; group F first with basal diet + 4% BSG during the rearing stage and then basal diet in the overfeeding stage; and group W with basal diet + 4% BSG (days 5&#x2013;90). The results showed that during the rearing stage, the body weight (BW) and the average daily gain (ADG) of Landes geese were significantly increased in groups F and W, while during the overfeeding stage, the liver weights of groups W and B were significantly higher than that of group C. The taxonomic structure of the intestinal microbiota revealed that during the overfeeding period, the relative abundance of <italic>Bacteroides</italic> in group W was increased compared to group C, while the relative abundances of <italic>Escherichia&#x2013;Shigella</italic> and <italic>prevotellaceae_Ga6A1_group</italic> were decreased. Results of the transcriptomics analysis showed that addition of BSG to Landes geese diets altered the expression of genes involved in PI3K-Akt signaling pathway and sphingolipid metabolism in the liver. Our study provided novel experimental evidence based on the cecal microbiota to support the application of BSG in the regulation of fatty liver deposition by modulating the gut microbiota in Landes geese.</p>
</abstract>
<abstract abstract-type="graphical" id="G1">
<title>Graphical Abstract</title>
<p><graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g008.tif" position="anchor"/></p>
</abstract>
<kwd-group>
<kwd>brewers&#x2019; spent grain</kwd>
<kwd>Landes goose</kwd>
<kwd>fatty liver</kwd>
<kwd>cecal microbiota community</kwd>
<kwd>differentially expressed gene</kwd>
<kwd>transcriptomics</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="95"/>
<page-count count="24"/>
<word-count count="16457"/>
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</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>It is well-known that in the natural environment, some wild waterfowl (e.g., geese and ducks) would eat a large amount of food in a short period of time to deposit excess fat in the liver to form fatty liver prior to migration in order to meet the energy reserve needs of long-distance travel (<xref ref-type="bibr" rid="B39">Hermier et al., 1991</xref>). Studies showed that different from the human fatty liver, geese have shown a strong ability to store fat in their livers with the functional integrity of the liver cells preserved without the formation of fibrosis or hepatic necrosis (<xref ref-type="bibr" rid="B59">Lu et al., 2015</xref>). Therefore, geese are used extensively worldwide in the production of luxurious food based on their fatty liver products, e.g., foie gras. The foie gras is generally delicious and delicate in texture, favored by a large number of consumers worldwide, with an extremely large and increasing demand in the international market (<xref ref-type="bibr" rid="B63">Mozduri et al., 2021</xref>). In particular, as a world-renowned breed dedicated to fatty livers, the Landes geese are very popular and highly adaptable to their environment (<xref ref-type="bibr" rid="B40">Hermier et al., 1999</xref>; <xref ref-type="bibr" rid="B62">Mourot et al., 2000</xref>).</p>
<p>The brewers&#x2019; spent grain (BSG) is the main by-product generated during the beer production (<xref ref-type="bibr" rid="B65">Mussatto, 2014</xref>), mainly composed of malt husk, insoluble protein, hemicellulose, fat, and a small amount of undecomposed starch (<xref ref-type="bibr" rid="B19">Cooray et al., 2017</xref>; <xref ref-type="bibr" rid="B73">Rachwa&#x0142; et al., 2020</xref>). Specifically, both compounds &#x03B2;-glucans and arabinoxylan detected in BSG are consumed by animals to help enhance the activities of beneficial microbiota (<xref ref-type="bibr" rid="B50">Lao et al., 2020</xref>). Studied showed that sun-dried BSG added to the diets for pigs at a dose of 17&#x2013;25% improved the production margins (<xref ref-type="bibr" rid="B3">Amoah et al., 2017</xref>), while it was demonstrated that replacing 5% soybean meal with fermented BSG in the diet of Wanxi white geese increased both the feed intake and body weight of meat geese (<xref ref-type="bibr" rid="B88">Yang et al., 2020</xref>). Furthermore, studies showed that BSG contained microorganisms capable of producing endogenous ethanol (<xref ref-type="bibr" rid="B12">Bonif&#x00E1;cio-Lopes et al., 2020</xref>), which promoted the accumulation of fat in the liver (<xref ref-type="bibr" rid="B8">Baraona and Lieber, 1979</xref>). These results strongly suggested the significant potential of BSG to promote liver fat deposition. However, the molecular mechanism underlying the liver fat deposition promoted by BSG is still unclear.</p>
<p>As the largest metabolic organ in body, the liver plays important roles in regulating the glucose and lipid metabolisms, while the intestine is the main place where the nutrient digestive absorption takes place and the gut microbiota colonizes, playing an important role in the growth and metabolism of the hosts (<xref ref-type="bibr" rid="B76">Safari and Gerard, 2019</xref>). The &#x201C;gut-liver axis&#x201D; refers to the bidirectional relationships among intestinal microbiome, intestine, and liver, attracting significant attention due to its involvement with intestinal microbiota in the occurrence and development of non-alcoholic fatty liver disease (NAFLD) (<xref ref-type="bibr" rid="B7">Bajaj and Hylemon, 2018</xref>). Studies have shown that overfeeding could cause significant variations in gut physiology and gut microbiota, thereby regulating the formation of fatty livers in geese (<xref ref-type="bibr" rid="B48">Knudsen et al., 2021</xref>). To date, the studies on the gut microbiome of Landes geese are sparse, while the investigations exploring the effects of BSG diets on the improvement of the liver production in Landes geese through the &#x201C;gut-liver axis&#x201D; are still lacking. Therefore, in this study, we performed the analyses of the intestinal physiology, intestinal microbiota, and liver transcriptomics of Landes geese to investigate the beneficial effects of BSG on the varied regulatory patterns of lipid deposition in Landes geese. The overall physiological and developmental benefits in the Landes geese generated by the addition of BSG in the feed were characterized based on the taxonomic composition of the intestinal microbiota before and after the overfeeding stage as well as changes in their body weight, liver weight, blood biochemical indices, and nutrient composition in the liver. The protective mechanism of the nutritional fatty liver in the Landes geese was further explored with the potential solutions to the problems related to fatty liver in animals. Our study provided novel experimental evidence to support the further investigations and applications of BSG in the promotion of fatty liver development in Landes geese.</p>
<p>It is noted that the overfeeding method is currently a controversial issue in the field. Interestingly, with the continuous improvement of modern overfeeding technology and equipment, the overfeeding method of geese is becoming more and more mature and acceptable. In particular, during the entire feeding process, we followed closely the provisions of the Chinese Code of Practice for Testing the Performance of Geese with Fatty Liver (NT/T 3184-2018). Furthermore, the Landes geese are physiologically characterized by fatty deposits in the liver. It is expected that with the discovery of the relationships between liver fat deposition and intestinal microbiota through overfeeding, in the near future, it would be possible to directly achieve the liver fat deposition in geese by regular feeding of certain types of feed additions (e.g., BSG) without overfeeding the geese. This achievement would be of significant importance for fatty liver production.</p>
</sec>
<sec id="S2">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Laboratory animals</title>
<p>This study was performed by following strictly the Guide for the Care and Use of Laboratory Animals Monitoring Committee of Hubei Province, China. The experimental protocols were approved by the Committee on the Ethics of Animal Experiments of the College of Veterinary Medicine, Huazhong Agricultural University (NO. HZAUGE&#x2013;2020&#x2013;0001).</p>
<p>A total of 320 healthy 5-day-old Landes geese were randomly and evenly divided into 4 groups with each group containing 8 replicates and 10 geese per replicate. The geese were kept and fed in the brooding room for a total of 4 days prior to the start of the experiments. The Landes geese in group C (control) were fed with basal diet throughout the entire experiment in both the rearing stage (days 5&#x2013;60) and the overfeeding stage (days 61&#x2013;90); group B first with basal diet in the rearing stage and then with basal diet + 4% BSG in the overfeeding stage; group F first with basal diet + 4% BSG in the rearing stage and then basal diet in the overfeeding stage; and group W with basal diet + 4% BSG for the entire experiment (days 5&#x2013;90). No animals were treated with antibiotics during the entire experiments. The Landes geese at different developmental stages were fed with different basal feeds with varied formula of nutritional compositions (<xref ref-type="supplementary-material" rid="TS1">Supplementary Tables 1</xref>&#x2013;<xref ref-type="supplementary-material" rid="TS2">3</xref>).</p>
<p>The animal experiments were carried out at the Huaren Modern Farm (Anhui, China) according to the code of practice for performance testing of fatty liver goose in China (NT/T 3184&#x2013;2018). The entire experimental procedures for four groups of Landes geese (i.e., C, B, F, and W) were divided into two stages. First, in the rearing stage (days 5&#x2013;60), the temperature in the goose houses where the Landes geese were kept and fed was maintained at &#x223C;33&#x00B0;C until the geese were 7 days old; then, the temperature was gradually decreased to and maintained at 23&#x00B0;C. It was noted that in days 45&#x2013;60, reasonable feed consumption control was applied in order to prevent rapid excess body weight in the geese. The goose houses were disinfected with both potassium permanganate and formalin before the experiments started. Second, in the overfeeding stage (days 61&#x2013;90), the temperature in the goose houses was maintained at &#x223C;15&#x00B0;C. After the pre-feeding (days 61&#x2013;67) in the overfeeding stage, the force feeding frequency and ration were gradually increased, i.e., force feeding for 2&#x2013;3 times/day (days 68 and 69) with 140 g/time, 3&#x2013;4 times/day (days 70&#x2013;74) with 220 g/time, and 5&#x2013;6 times/day (days 75&#x2013;90) with 350 g/time. The feeds were softened with water during the overfeeding stage. On days 5, 15, 30, 45, 60, and 90, the geese and feeds were weighed to calculate the average daily gain (ADG) in body weight (BW) in each of the four groups of geese (n = 80) based on the following equation: ADG = (final body weight &#x2212; initial body weight)/days of experiment.</p>
</sec>
<sec id="S2.SS2">
<title>Brewers&#x2019; spent grain</title>
<p>As the residue of barley malt extracted during the wort production process, the BSG was supplied by the Hubei Huada Real Technology Co., Ltd., Wuhan, China. The nutritional compositions of the BSG were shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>The nutritional compositions of brewers&#x2019; spent grain (BSG).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Ingredient</td>
<td valign="top" align="center">Percentage in the total weight</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Water content</td>
<td valign="top" align="center">36.97%</td>
</tr>
<tr>
<td valign="top" align="left">pH</td>
<td valign="top" align="center">4.23</td>
</tr>
<tr>
<td valign="top" align="left">Total acid</td>
<td valign="top" align="center">2.08%</td>
</tr>
<tr>
<td valign="top" align="left">Crude protein</td>
<td valign="top" align="center">13.26%</td>
</tr>
<tr>
<td valign="top" align="left">Crude fiber</td>
<td valign="top" align="center">15.70%</td>
</tr>
<tr>
<td valign="top" align="left">Crude fat</td>
<td valign="top" align="center">6.30%</td>
</tr>
<tr>
<td valign="top" align="left">Crude ash</td>
<td valign="top" align="center">3.70%</td>
</tr>
<tr>
<td valign="top" align="left">Acid-soluble protein (as a percentage of the crude protein)</td>
<td valign="top" align="center">25.73%</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S2.SS3">
<title>Sample collection</title>
<p>A total of eight geese were sampled from each of the four groups of Landes geese on days 60 and 90 after 12 h of fasting with the pen number and weight of each individual goose recorded before euthanization. Blood samples (&#x223C;5 mL for each goose) were collected from the wing veins using the vacuum blood collection tubes and centrifuged for 10 min at 3000 rpm and 4&#x00B0;C to obtain the serum sample. The geese were euthanized with the liver tissues (on day 90) collected immediately, snap-frozen in liquid nitrogen, and stored at &#x2212;80&#x00B0;C for further transcriptomics analysis. The duodenal, jejunal, and ileal tissues were collected and immediately fixed in 4% paraformaldehyde (Biosharp Co., Ltd., Hefei, China) for subsequent morphological analysis.</p>
</sec>
<sec id="S2.SS4">
<title>Serum analysis</title>
<p>The contents of a group of nine biochemical indices, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (AKP), acid phosphatase (ACP), glucose (GLU), triglyceride (TG), cholesterol (CHO), high density liptein cholesterol (HDL-C), and low density liptein cholesterol (LDL-C), were measured by an automatic biochemical analyzer (BK-280, Shandong Blobase Biotechnology Co., Ltd., Shandong, China), while the contents of another biochemical index, i.e., the very low-density lipoprotein (VLDL-C), were measured using ELISA kits (Wuhan Meimian Biotechnology Co., Ltd., Wuhan, China). All experiments were performed with eight biological replicates in strict accordance with the protocols and instructions recommended by the manufacturers.</p>
</sec>
<sec id="S2.SS5">
<title>Compositions of free amino acids in livers of Landes geese</title>
<p>The contents of amino acids in livers of Landes geese on day 90 were determined using an amino acid analyzer (L-8900, Hitachi, Japan). A total of &#x223C;100 mg liver samples were dissolved in water with methanol (1:1) for 30 min at 4&#x00B0;C and then centrifuged for 10 min at 10,000 &#x00D7; g and 4&#x00B0;C. The supernatant was filtered through the glass wool and stored at &#x2212;80&#x00B0;C for further analysis (<xref ref-type="bibr" rid="B24">Dong et al., 2020</xref>).</p>
</sec>
<sec id="S2.SS6">
<title>Compositions of fatty acids in livers of Landes geese</title>
<p>The fatty acid compositions in livers of Landes geese on day 90 were measured using the gas chromatography (GC) based on the methods described previously (<xref ref-type="bibr" rid="B52">Li et al., 2015</xref>) using the gas chromatographer (Trace1310 ISQ, ThermoFisher, Waltham, CA, United States). The concentrations of individual fatty acids were quantified based on the peak area and presented as a percentage of the contents of the total fatty acids.</p>
</sec>
<sec id="S2.SS7">
<title>Gut microorganism analysis</title>
<sec id="S2.SS7.SSS1">
<title>Sample collection and DNA extraction and sequencing</title>
<p>The total genomic DNA of the microbial community was extracted from the cecal contents using the E.Z.N.A.<sup>&#x00AE;</sup> Soil DNA Kit (Omega Bio-tek, Norcross, GA, United States) by following the procedures recommended by the manufacturers. DNA quality was evaluated on 1% agarose gel with the DNA concentration and purity determined by the NanoDrop 2000 UV-vis spectrophotometer (Thermo Scientific, Wilmington, DE, United States). Then, the forward primer 338F (5&#x2032;-ACTCCTACGGGAGGCAGCAG-3&#x2032;) and the reverse primer 806R (5&#x2032;-GGACTACHVGGGTWTCTAAT-3&#x2032;) were used to amplify the hypervariable region (i.e., V3-V4) of the bacterial 16S rRNA gene on the PCR thermocycler (ABI GeneAmpR<sup>&#x00AE;</sup> 9700, Foster City, CA, United States) with the following procedures: denaturation for 3 min at 95&#x00B0;C, followed by a total of 27 cycles of denaturation for 30 s at 95&#x00B0;C, annealing for 30 s at 55&#x00B0;C, and extension for 45 s at 72&#x00B0;C, ended by the final extension for 10 min at 72&#x00B0;C, and kept at 4&#x00B0;C. The chemical mixture of PCR contained 4 &#x03BC;L 5 &#x00D7; TransStart FastPfu buffer, 2 &#x03BC;L 2.5 mM dNTPs, 0.8 &#x03BC;L forward primer (5 &#x03BC;M) and reverse primer (5 &#x03BC;M), 0.4 &#x03BC;L TransStart FastPfu DNA Polymerase, and 10 ng template DNA, with the final volume adjusted to 20 &#x03BC;L using ddH<sub>2</sub>O. Each PCR analysis was repeated with three biological replicates. The PCR products were collected using 2% agarose gel and then purified using the AxyPrep DNA Gel Extraction Kit (Axygen Biosciences, Union City, CA, United States) by following the manufacturer&#x2019;s instructions. The concentrations of the purified PCR products were determined using the Quantus&#x2122; Fluorometer (Promega, United States). The paired-end sequencing (2 &#x00D7; 300 bp) of the purified amplicons pooled in equimolar was performed on an Illumina MiSeq platform (Illumina, San Diego, CA, United States) based on the standard procedures recommended by the Majorbio Bio-Pharm Technology Co., Ltd. (Shanghai, China).</p>
</sec>
<sec id="S2.SS7.SSS2">
<title>Sequencing data analysis</title>
<p>The paired-end reads of the transcriptomics analysis were processed using FLASH version 1.2.11 to generate the splicing sequences, i.e., the raw tags (<xref ref-type="bibr" rid="B23">Derakhshani et al., 2016</xref>). Further processing of raw reads was performed based on the quality control protocols of QIIME version 1.9.1 (<xref ref-type="bibr" rid="B15">Caporaso et al., 2010</xref>). The effective tags were clustered into the operational taxonomic units (OTUs) based on 97% identity with the representative sequences of the OTUs determined and annotated using the Uparse version 7.0.1090<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>. The taxonomy of each OTU representative sequence was determined by the RDP Classifier<sup><xref ref-type="fn" rid="footnote2">2</xref></sup> based on the 16S rRNA database (<xref ref-type="bibr" rid="B94">Zhbannikov and Foster, 2015</xref>). The alpha diversity indices (i.e., Chao1, Shannon, and Simpson) were calculated based on the rarefaction analysis using Mothur v.1.30.2, while the relative abundance analyses at the phylum and genus levels were performed using the R software (version 3.3.1).</p>
</sec>
</sec>
<sec id="S2.SS8">
<title>Transcriptomics analysis of liver in Landes geese</title>
<sec id="S2.SS8.SSS1">
<title>RNA extraction and sequencing</title>
<p>The total RNA of each liver sample was extracted using the Ultrapure RNA Kit (CW0581M, CoWin Biosciences, Beijing, China) according to the manufacturer&#x2019;s instructions. The RNA samples meeting the quality requirements, i.e., bright and clear bands of the target RNA based on electrophoresis gel, no diffusion area in the swimming lane, no protein and DNA contaminations, with the RNA integrity number (RIN) close to 10, the 28S/18S ratio greater than or equal to 1.5, 1.8 &#x003C; OD<sub>260/280</sub> &#x003C; 2.2, and OD<sub>260/230</sub> &#x2265; 2.0, were used to construct the RNA-Seq transcriptomic library (Majorbio Co., Shanghai, China).</p>
</sec>
<sec id="S2.SS8.SSS2">
<title>Sequencing data analysis</title>
<p>The differentially expressed genes (DEGs) between the four different groups of liver samples of Landes geese on day 90 were identified based on fold change &#x003E; 2 or &#x003C; &#x2013;2 and <italic>Q</italic> value &#x2264; 0.05 using DESeq2 (1.24.0)<sup><xref ref-type="fn" rid="footnote3">3</xref></sup>. The expression level of each transcript was determined by the transcripts per million reads (TPM) method, while the gene abundances were evaluated based on RSEM<sup><xref ref-type="fn" rid="footnote4">4</xref></sup>. Annotation and enrichment analyses of the DEGs based on the Gene Ontology (GO<sup><xref ref-type="fn" rid="footnote5">5</xref></sup>) and the Kyoto Encyclopedia of Genes and Genomes (KEGG<sup><xref ref-type="fn" rid="footnote6">6</xref></sup>) databases were performed by Goatools<sup><xref ref-type="fn" rid="footnote7">7</xref></sup> and KOBAS<sup><xref ref-type="fn" rid="footnote8">8</xref></sup>, respectively, with the Bonferroni-corrected <italic>P</italic>-value &#x2264; 0.05 compared with the entire transcriptome background.</p>
<p>In order to verify the molecular patterns revealed by the transcriptomic analysis, a total of six genes were randomly selected to perform the quantitative real-time PCR (qRT-PCR) analysis. The RNA sample (1 &#x03BC;g) was reverse-transcribed into cDNA using the PrimeScript&#x2122; RT Reagent Kit with gDNA Eraser (Vazyme, Nanjing, China) by following the manufacturer&#x2019;s protocols. Then, the cDNA was diluted 10-fold and mixing with ChamQ Universal SYBR qPCR Master Mix (Q711-02/03, Vazyme Biotech Co., Ltd., Nanjing, China) and specific primers, used for qRT-PCR analyses using the signal detection protocols provide by the manufacturers (Bio-Rad CFX96TM System, TaKaRa, Dalian, China). Each qRT-PCR experiment was repeated with three technical replicates using the house-keeping gene <italic>&#x03B2;-Actin</italic> as the endogenous control for the normalization of the expression of each gene. Primers used for qRT-PCR were shown in <xref ref-type="supplementary-material" rid="TS4">Supplementary Table 4</xref>. Data were analyzed using GraphPad Prism v 8.3.0 (GraphPad, Inc., La Jolla, CA, United States).</p>
</sec>
</sec>
<sec id="S2.SS9">
<title>Statistical analysis</title>
<p>The significant differences between groups were analyzed by one-way analysis of variance (ANOVA) and Fisher&#x2019;s least significant difference (LSD) tests using the SPSS statistical software version 26.0 (SPSS, Inc., Chicago, IL, United States). Graphs were generated using GraphPad Prism 8.3. (GraphPad, Inc., La Jolla, CA, United States). The data were shown as the mean &#x00B1; standard error of the mean (SEM) with the significance levels set at <italic>P</italic> &#x003C; 0.05 (&#x002A;) and <italic>P</italic> &#x003C; 0.01 (<sup>&#x002A;&#x002A;</sup>), respectively.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Effect of brewers&#x2019; spent grain on the growth performance of Landes geese</title>
<p>The results of growth performance in the Landes geese showed that the initial BWs were not significantly different (<italic>P</italic> &#x003E; 0.05) among the 4 groups of Landes geese (<xref ref-type="table" rid="T2">Table 2</xref>). In the rearing stage (days 5&#x2013;60), the geese in both groups F and W fed with diets supplemented with BSG showed higher BW and ADG than those of group C, with BW extremely significantly different at 15, 30, and 45 days (<italic>P</italic> &#x003C; 0.01) and ADG extremely significantly different during 5&#x2013;15 and 16&#x2013;30 days (<italic>P</italic> &#x003C; 0.01). During the overfeeding stage (days 61&#x2013;90), the BSG was added to the diet of group B, but the BW and ADG were not changed significantly compared with group C. In 90 days, the average liver weight/body weight ratio of the geese in group W was increased by 21.36% compared with group C, while the liver weight/body weight ratio of group B also showed an increasing trend compared with groups C and F (<italic>P</italic> &#x003E; 0.05) (<xref ref-type="table" rid="T2">Table 2</xref>). Overall, these results showed that addition of BSG during the rearing stage effectively increased the BW and ADG of Landes geese, while no significant difference was observed in BW with the addition of BSG during the overfeeding stage. Therefore, the addition of BSG during the overfeeding stage was beneficial to the liver fat deposition of the Landes geese.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Effects of brewers&#x2019; spent grain (BSG) on the growth performance in four groups of Landes geese (i.e., groups C, B, F, and W).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Growth</td>
<td/>
<td valign="top" align="center">Group C</td>
<td valign="top" align="center">Group B</td>
<td valign="top" align="center">Group F</td>
<td valign="top" align="center">Group W</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">BW (g)</td>
<td valign="top" align="left">5 days</td>
<td valign="top" align="center">218.7 &#x00B1; 1.3</td>
<td valign="top" align="center">218.1 &#x00B1; 1.3</td>
<td valign="top" align="center">218.1 &#x00B1; 1.9</td>
<td valign="top" align="center">217.5 &#x00B1; 1.3</td>
<td valign="top" align="center">0.952</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">15 days</td>
<td valign="top" align="center">703.0 &#x00B1; 3.7<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">711.0 &#x00B1; 3.9<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">726.2 &#x00B1; 2.7<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">733.5 &#x00B1; 3.4<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">30 days</td>
<td valign="top" align="center">1913.7 &#x00B1; 43.6<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1916.1 &#x00B1; 36.9<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">2080.0 &#x00B1; 39.3<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">2087.5 &#x00B1; 47.1<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">45 days</td>
<td valign="top" align="center">3385.6 &#x00B1; 35.6<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">3383.1 &#x00B1; 48.2<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">3698.1 &#x00B1; 45.4<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">3603.8 &#x00B1; 59.2<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 days</td>
<td valign="top" align="center">4531.3 &#x00B1; 51.5</td>
<td valign="top" align="center">4522.5 &#x00B1; 69.9</td>
<td valign="top" align="center">4678.9 &#x00B1; 48.2</td>
<td valign="top" align="center">4671.9 &#x00B1; 81.8</td>
<td valign="top" align="center">0.174</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">90 days</td>
<td valign="top" align="center">8066.7 &#x00B1; 98.9</td>
<td valign="top" align="center">8300.0 &#x00B1; 134.2</td>
<td valign="top" align="center">8480.0 &#x00B1; 135.6</td>
<td valign="top" align="center">8400.0 &#x00B1; 219.1</td>
<td valign="top" align="center">0.299</td>
</tr>
<tr>
<td valign="top" align="left">LW (g)</td>
<td valign="top" align="left">90 days</td>
<td valign="top" align="center">946.7 &#x00B1; 46.5<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1089.2 &#x00B1; 67.3<sup>ab</sup></td>
<td valign="top" align="center">943.3 &#x00B1; 61.9<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1192.5 &#x00B1; 36.3<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">LBR</td>
<td valign="top" align="left">90 days</td>
<td valign="top" align="center">11.7 &#x00B1; 0.5</td>
<td valign="top" align="center">13.1 &#x00B1; 0.8</td>
<td valign="top" align="center">11.6 &#x00B1; 0.8</td>
<td valign="top" align="center">14.2 &#x00B1; 0.7</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td valign="top" align="left">ADG (g/d)</td>
<td valign="top" align="left">5&#x2013;15 days</td>
<td valign="top" align="center">48.5 &#x00B1; 0.2<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">48.9 &#x00B1; 0.3<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">51.4 &#x00B1; 0.3<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">50.8 &#x00B1; 0.2<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">16&#x2013;30 days</td>
<td valign="top" align="center">80.6 &#x00B1; 2.8<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">80.5 &#x00B1; 2.5<xref ref-type="table-fn" rid="t2fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">90.4 &#x00B1; 3.2<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">90.2 &#x00B1; 2.6<xref ref-type="table-fn" rid="t2fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">31&#x2013;45 days</td>
<td valign="top" align="center">98.1 &#x00B1; 1.0</td>
<td valign="top" align="center">97.8 &#x00B1; 4.6</td>
<td valign="top" align="center">101.0 &#x00B1; 4.7</td>
<td valign="top" align="center">101.3 &#x00B1; 2.7</td>
<td valign="top" align="center">0.852</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">46&#x2013;60 days</td>
<td valign="top" align="center">76.4 &#x00B1; 1.1</td>
<td valign="top" align="center">75.9 &#x00B1; 4.5</td>
<td valign="top" align="center">71.3 &#x00B1; 6.1</td>
<td valign="top" align="center">71.9 &#x00B1; 4.2</td>
<td valign="top" align="center">0.776</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">61&#x2013;90 days</td>
<td valign="top" align="center">117.3 &#x00B1; 1.9</td>
<td valign="top" align="center">125.7 &#x00B1; 3.5</td>
<td valign="top" align="center">124.7 &#x00B1; 6.3</td>
<td valign="top" align="center">124.3 &#x00B1; 2.5</td>
<td valign="top" align="center">0.492</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fn1"><p>Data are expressed as mean &#x00B1; standard error of the mean (SEM) (n = 80 geese per group). <sup>a,b</sup>Means within the same row with different superscripts differ. BW, body weight; LW, liver weight; LBR, liver weight/body weight ratio; ADG, average daily gain. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Effect of brewers&#x2019; spent grain on the serum biochemical indices of Landes geese</title>
<p>The results of the effects of BSG on the serum biochemical indices of Landes geese were shown in <xref ref-type="table" rid="T3">Table 3</xref>. In 60 days, compared with group C, the contents of GLU were extremely significantly reduced in both groups F and W (<italic>P</italic> &#x003C; 0.01), while the contents of HDL-C were significantly decreased (<italic>P</italic> &#x003C; 0.05) and the contents of LDL-C (<italic>P</italic> &#x003C; 0.01) and VLDL-C (<italic>P</italic> &#x003E; 0.05) showed an increasing. In 90 days, compared with group C, the contents of both ALT and AST in the three experimental groups (i.e., groups B, F, and W) were reduced, while the contents of TP in all three experimental groups were increased. No significant difference was observed in the contents of TG and CHO among the four groups of Landes geese (<italic>P</italic> &#x003E; 0.05). Compared with group C, the contents of three types of lipoproteins (i.e., HDL-C, LDL-C, and VLDL-C) in group W were increased by 16.60% (<italic>P</italic> &#x003C; 0.05), 25.00% (<italic>P</italic> &#x003E; 0.05), and 34.96% (<italic>P</italic> &#x003C; 0.01), respectively.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Effects of brewers&#x2019; spent grain (BSG) on the serum biochemical indices in the four groups of Landes geese (i.e., groups C, B, F, and W) in 60 and 90 days.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Biochemical index</td>
<td valign="top" align="center">Group C</td>
<td valign="top" align="center">Group B</td>
<td valign="top" align="center">Group F</td>
<td valign="top" align="center">Group W</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Day 60</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">23.1 &#x00B1; 0.8</td>
<td valign="top" align="center">22.3 &#x00B1; 0.7</td>
<td valign="top" align="center">23.2 &#x00B1; 0.4</td>
<td valign="top" align="center">22.3 &#x00B1; 1.4</td>
<td valign="top" align="center">0.834</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">62.4 &#x00B1; 1.4</td>
<td valign="top" align="center">62.8 &#x00B1; 1.9</td>
<td valign="top" align="center">58.9 &#x00B1; 1.5</td>
<td valign="top" align="center">58.7 &#x00B1; 1.3</td>
<td valign="top" align="center">0.139</td>
</tr>
<tr>
<td valign="top" align="left">AKP (U/100 mL)</td>
<td valign="top" align="center">61.8 &#x00B1; 0.8</td>
<td valign="top" align="center">62.5 &#x00B1; 0.8</td>
<td valign="top" align="center">61.5 &#x00B1; 0.6</td>
<td valign="top" align="center">61.9 &#x00B1; 0.5</td>
<td valign="top" align="center">0.749</td>
</tr>
<tr>
<td valign="top" align="left">ACP (U/100 mL)</td>
<td valign="top" align="center">20.9 &#x00B1; 0.7</td>
<td valign="top" align="center">20.3 &#x00B1; 0.9</td>
<td valign="top" align="center">19.7 &#x00B1; 0.3</td>
<td valign="top" align="center">19.2 &#x00B1; 0.9</td>
<td valign="top" align="center">0.434</td>
</tr>
<tr>
<td valign="top" align="left">GLU (mmol/L)</td>
<td valign="top" align="center">11.6 &#x00B1; 0.3<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">11.4 &#x00B1; 0.3<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">10.3 &#x00B1; 0.3<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">10.4 &#x00B1; 0.3<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">TG (mmol/L)</td>
<td valign="top" align="center">1.1 &#x00B1; 0.1</td>
<td valign="top" align="center">1.1 &#x00B1; 0.1</td>
<td valign="top" align="center">1.1 &#x00B1; 0.1</td>
<td valign="top" align="center">1.0 &#x00B1; 0.1</td>
<td valign="top" align="center">0.638</td>
</tr>
<tr>
<td valign="top" align="left">CHO (mmol/L)</td>
<td valign="top" align="center">4.6 &#x00B1; 0.3</td>
<td valign="top" align="center">4.6 &#x00B1; 0.2</td>
<td valign="top" align="center">4.4 &#x00B1; 0.2</td>
<td valign="top" align="center">4.3 &#x00B1; 0.1</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">HDL-C (mmol/L)</td>
<td valign="top" align="center">2.6 &#x00B1; 0.2<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">2.6 &#x00B1; 0.2<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">2.4 &#x00B1; 0.1<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">2.5 &#x00B1; 0.1<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.031</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C (mmol/L)</td>
<td valign="top" align="center">1.2 &#x00B1; 0.1<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1.1 &#x00B1; 0.1<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1.3 &#x00B1; 0.1<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">1.3 &#x00B1; 0.1<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">VLDL-C (nmol/L)</td>
<td valign="top" align="center">291.7 &#x00B1; 8.8</td>
<td valign="top" align="center">293.7 &#x00B1; 26.6</td>
<td valign="top" align="center">320.6 &#x00B1; 24.6</td>
<td valign="top" align="center">343.6 &#x00B1; 22.7</td>
<td valign="top" align="center">0.323</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Day 90</bold></td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">85.3 &#x00B1; 1.5<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">68.1 &#x00B1; 4.4<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">55.9 &#x00B1; 3.7<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">76.7 &#x00B1; 3.9<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">189.4 &#x00B1; 12.0<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">178.2 &#x00B1; 13.1<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">184.1 &#x00B1; 15.1<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">138.3 &#x00B1; 5.5<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.041</td>
</tr>
<tr>
<td valign="top" align="left">AKP (U/100 mL)</td>
<td valign="top" align="center">191.4 &#x00B1; 11.2<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">177.9 &#x00B1; 17.3<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">195.1 &#x00B1; 7.3<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">138.8 &#x00B1; 7.3<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">ACP (U/100 mL)</td>
<td valign="top" align="center">25.1 &#x00B1; 1.6<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">21.1 &#x00B1; 1.7<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">24.2 &#x00B1; 2.1<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">36.5 &#x00B1; 1.2<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">GLU (mmol/L)</td>
<td valign="top" align="center">16.4 &#x00B1; 1.2<sup>ab</sup></td>
<td valign="top" align="center">14.7 &#x00B1; 0.5<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">18.7 &#x00B1; 1.5<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">13.6 &#x00B1; 0.6<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">TG (mmol/L)</td>
<td valign="top" align="center">8.7 &#x00B1; 0.8</td>
<td valign="top" align="center">6.7 &#x00B1; 0.7</td>
<td valign="top" align="center">8.2 &#x00B1; 0.5</td>
<td valign="top" align="center">6.8 &#x00B1; 0.7</td>
<td valign="top" align="center">0.147</td>
</tr>
<tr>
<td valign="top" align="left">CHO (mmol/L)</td>
<td valign="top" align="center">7.2 &#x00B1; 0.6</td>
<td valign="top" align="center">7.0 &#x00B1; 0.3</td>
<td valign="top" align="center">6.4 &#x00B1; 0.2</td>
<td valign="top" align="center">6.9 &#x00B1; 0.4</td>
<td valign="top" align="center">0.478</td>
</tr>
<tr>
<td valign="top" align="left">HDL-C (mmol/L)</td>
<td valign="top" align="center">4.8 &#x00B1; 0.2<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">4.9 &#x00B1; 0.3<sup>ab</sup></td>
<td valign="top" align="center">4.5 &#x00B1; 0.2<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">5.6 &#x00B1; 0.3<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C (mmol/L)</td>
<td valign="top" align="center">2.0 &#x00B1; 0.3</td>
<td valign="top" align="center">2.5 &#x00B1; 0.2</td>
<td valign="top" align="center">2.6 &#x00B1; 0.3</td>
<td valign="top" align="center">2.5 &#x00B1; 0.2</td>
<td valign="top" align="center">0.416</td>
</tr>
<tr>
<td valign="top" align="left">VLDL-C (nmol/L)</td>
<td valign="top" align="center">435.3 &#x00B1; 24.4<xref ref-type="table-fn" rid="t3fn1"><sup>c</sup></xref></td>
<td valign="top" align="center">511.9 &#x00B1; 5.67<xref ref-type="table-fn" rid="t3fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">423.3 &#x00B1; 7.1<xref ref-type="table-fn" rid="t3fn1"><sup>c</sup></xref></td>
<td valign="top" align="center">587.5 &#x00B1; 10.3<xref ref-type="table-fn" rid="t3fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fn1"><p>Data are expressed as mean &#x00B1; SEM. <sup>a&#x2013;c</sup>Means within the same row with different superscripts differ. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Effect of brewers&#x2019; spent grain on the intestinal morphology of Landes geese</title>
<p>The results of the effects of BSG on the morphology of the small intestines of Landes goose were shown in <xref ref-type="table" rid="T4">Table 4</xref>. In 60 days, no significant difference was observed in VHs and CDs of the duodenum among the four groups of geese (<italic>P</italic> &#x003E; 0.05). In the jejunum, both VHs and VCRs in groups F and W were significantly increased compared with those of group C (<italic>P</italic> &#x003C; 0.01). For the ileum, the VCRs of geese fed with BSG were significantly increased in both groups F and W (<italic>P</italic> &#x003C; 0.01), the VHs in groups F and W were significantly increased compared with group C (<italic>P</italic> &#x003C; 0.01), while the CDs in groups F and W were significantly lower than that in group C (<italic>P</italic> &#x003C; 0.05). In 90 days, both VH and VCR of the duodenum in group W were significantly increased compared with group C (<italic>P</italic> &#x003C; 0.05), while the CD in group W was lower than that in group C (<italic>P</italic> &#x003E; 0.05). In the jejunum, the VH in group W was significantly higher than those of the other three groups (<italic>P</italic> &#x003C; 0.05), while no significant difference was observed in the CDs of the four groups of geese (<italic>P</italic> &#x003E; 0.05). For the ileum, the CD of group F was significantly lower than that in group W (<italic>P</italic> &#x003C; 0.05), while the VCR was extremely significantly increased (<italic>P</italic> &#x003C; 0.01).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Effects of brewers&#x2019; spent grain (BSG) on the intestinal morphology of the four groups of Landes geese (i.e., groups C, B, F, and W) in 60 and 90 days.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Item</td>
<td/>
<td valign="top" align="center">Group C</td>
<td valign="top" align="center">Group B</td>
<td valign="top" align="center">Group F</td>
<td valign="top" align="center">Group W</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Day 60</bold></td>
<td/>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Duodenum (&#x03BC;m)</td>
<td valign="top" align="left">VH</td>
<td valign="top" align="center">1083.3 &#x00B1; 52.1</td>
<td valign="top" align="center">1091.1 &#x00B1; 32.9</td>
<td valign="top" align="center">1145.9 &#x00B1; 66.8</td>
<td valign="top" align="center">1140.5 &#x00B1; 69.9</td>
<td valign="top" align="center">0.810</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CD</td>
<td valign="top" align="center">338.3 &#x00B1; 7.8</td>
<td valign="top" align="center">332.3 &#x00B1; 5.4</td>
<td valign="top" align="center">304.5 &#x00B1; 8.0</td>
<td valign="top" align="center">306.5 &#x00B1; 13.2</td>
<td valign="top" align="center">0.087</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">VCR</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">3.3 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">3.9 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">3.7 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Jejunum (&#x03BC;m)</td>
<td valign="top" align="left">VH</td>
<td valign="top" align="center">1258.8 &#x00B1; 38.7<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1242.1 &#x00B1; 50.5<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1498.8 &#x00B1; 39.2<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">1481.1 &#x00B1; 53.5<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CD</td>
<td valign="top" align="center">297.6 &#x00B1; 9.7</td>
<td valign="top" align="center">299.3 &#x00B1; 14.0</td>
<td valign="top" align="center">267.5 &#x00B1; 6.8</td>
<td valign="top" align="center">262.4 &#x00B1; 14.1</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">VCR</td>
<td valign="top" align="center">4.3 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">4.2 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">5.6 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">5.5 &#x00B1; 0.2<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ileum (&#x03BC;m)</td>
<td valign="top" align="left">VH</td>
<td valign="top" align="center">1110.9 &#x00B1; 49.0</td>
<td valign="top" align="center">1115.9 &#x00B1; 29.3</td>
<td valign="top" align="center">1170.7 &#x00B1; 36.7</td>
<td valign="top" align="center">1178.6 &#x00B1; 48.9</td>
<td valign="top" align="center">0.476</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CD</td>
<td valign="top" align="center">267.91 &#x00B1; 17.7<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">264.8 &#x00B1; 12.4<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">218.4 &#x00B1; 4.5<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">221.3 &#x00B1; 13.9<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">VCR</td>
<td valign="top" align="center">4.28 &#x00B1; 0.2<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">4.2 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">5.4 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">5.2 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Day 90</bold></td>
<td/>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Duodenum (&#x03BC;m)</td>
<td valign="top" align="left">VH</td>
<td valign="top" align="center">1240.6 &#x00B1; 137.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1793.6 &#x00B1; 24.3<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">1460.9 &#x00B1; 66.3<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1726.8 &#x00B1; 212.0<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CD</td>
<td valign="top" align="center">223.6 &#x00B1; 12.1</td>
<td valign="top" align="center">260.6 &#x00B1; 17.3</td>
<td valign="top" align="center">200.2 &#x00B1; 7.6</td>
<td valign="top" align="center">213.5 &#x00B1; 18.7</td>
<td valign="top" align="center">0.087</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">VCR</td>
<td valign="top" align="center">5.5 &#x00B1; 0.3<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">6.9 &#x00B1; 0.5<sup>ab</sup></td>
<td valign="top" align="center">7.3 &#x00B1; 0.5<sup>ab</sup></td>
<td valign="top" align="center">8.2 &#x00B1; 0.5<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" align="left">Jejunum (&#x03BC;m)</td>
<td valign="top" align="left">VH</td>
<td valign="top" align="center">1579.9 &#x00B1; 78.0<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1544.3 &#x00B1; 27.7<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1495.9 &#x00B1; 71.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1772.4 &#x00B1; 29.0<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CD</td>
<td valign="top" align="center">226.9 &#x00B1; 13.8</td>
<td valign="top" align="center">266.2 &#x00B1; 22.5</td>
<td valign="top" align="center">249.9 &#x00B1; 24.2</td>
<td valign="top" align="center">232.5 &#x00B1; 6.9</td>
<td valign="top" align="center">0.446</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">VCR</td>
<td valign="top" align="center">7.0 &#x00B1; 0.7</td>
<td valign="top" align="center">5.9 &#x00B1; 0.4</td>
<td valign="top" align="center">6.1 &#x00B1; 0.6</td>
<td valign="top" align="center">7.6 &#x00B1; 0.1</td>
<td valign="top" align="center">0.123</td>
</tr>
<tr>
<td valign="top" align="left">Ileum (&#x03BC;m)</td>
<td valign="top" align="left">VH</td>
<td valign="top" align="center">1205.7 &#x00B1; 92.5</td>
<td valign="top" align="center">1191.9 &#x00B1; 46.1</td>
<td valign="top" align="center">1384.9 &#x00B1; 113.4</td>
<td valign="top" align="center">1166.4 &#x00B1; 58.3</td>
<td valign="top" align="center">0.270</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CD</td>
<td valign="top" align="center">246.9 &#x00B1; 11.5<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">241.1 &#x00B1; 13.8<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">196.7 &#x00B1; 15.9<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">261.3 &#x00B1; 26.5<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">VCR</td>
<td valign="top" align="center">4.9 &#x00B1; 0.6<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">5.0 &#x00B1; 0.1<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">7.1 &#x00B1; 0.2<xref ref-type="table-fn" rid="t4fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">4.8 &#x00B1; 0.3<xref ref-type="table-fn" rid="t4fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.002</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fn1"><p>Data are expressed as mean &#x00B1; SEM. <sup>a,b</sup>Means within the same row with different superscripts differ. VH, villus height; CD, crypt depth; VCR, villus height/crypt depth ratio. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Effect of brewers&#x2019; spent grain on the compositions of amino acids in livers of Landes geese</title>
<p>The results of the effects of BSG on the compositions of amino acids in the livers of Landes geese in 90 days were shown in <xref ref-type="table" rid="T5">Table 5</xref>, revealing no significant difference in the contents of amino acids in the livers of the four groups of Landes geese (<italic>P</italic> &#x003E; 0.05). It was noted that the contents of six types of amino acids, including glutamic acid, valine, histidine, and the three types of aromatic amino acids (i.e., phenylalanine, tryptophan, and tyrosine) in group W, tended to increase compared with group C.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Effect of brewers&#x2019; spent grain (BSG) on the compositions of amino acids in the livers of four groups of Landes geese (i.e., groups C, B, F, and W) in 90 days.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Amino acid (mg/g)</td>
<td valign="top" align="center">Group C</td>
<td valign="top" align="center">Group B</td>
<td valign="top" align="center">Group F</td>
<td valign="top" align="center">Group W</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aspartic acid</td>
<td valign="top" align="center">6.3 &#x00B1; 0.4</td>
<td valign="top" align="center">6.5 &#x00B1; 0.2</td>
<td valign="top" align="center">6.3 &#x00B1; 0.3</td>
<td valign="top" align="center">6.5 &#x00B1; 0.1</td>
<td valign="top" align="center">0.085</td>
</tr>
<tr>
<td valign="top" align="left">Threonine</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1</td>
<td valign="top" align="center">3.5 &#x00B1; 0.1</td>
<td valign="top" align="center">0.924</td>
</tr>
<tr>
<td valign="top" align="left">Serine</td>
<td valign="top" align="center">3.2 &#x00B1; 0.1</td>
<td valign="top" align="center">3.3 &#x00B1; 0.1</td>
<td valign="top" align="center">3.1 &#x00B1; 0.1</td>
<td valign="top" align="center">3.3 &#x00B1; 0.1</td>
<td valign="top" align="center">0.348</td>
</tr>
<tr>
<td valign="top" align="left">Glutamic acid</td>
<td valign="top" align="center">10.9 &#x00B1; 0.1</td>
<td valign="top" align="center">10.6 &#x00B1; 0.5</td>
<td valign="top" align="center">11.9 &#x00B1; 1.3</td>
<td valign="top" align="center">11.0 &#x00B1; 0.7</td>
<td valign="top" align="center">0.827</td>
</tr>
<tr>
<td valign="top" align="left">Glycine</td>
<td valign="top" align="center">3.7 &#x00B1; 0.1</td>
<td valign="top" align="center">3.6 &#x00B1; 0.1</td>
<td valign="top" align="center">3.5 &#x00B1; 0.1</td>
<td valign="top" align="center">3.7 &#x00B1; 0.1</td>
<td valign="top" align="center">0.385</td>
</tr>
<tr>
<td valign="top" align="left">Alanine</td>
<td valign="top" align="center">4.6 &#x00B1; 0.1</td>
<td valign="top" align="center">4.6 &#x00B1; 0.2</td>
<td valign="top" align="center">4.4 &#x00B1; 0.1</td>
<td valign="top" align="center">4.6 &#x00B1; 0.1</td>
<td valign="top" align="center">0.297</td>
</tr>
<tr>
<td valign="top" align="left">Cystine</td>
<td valign="top" align="center">1.1 &#x00B1; 0.2</td>
<td valign="top" align="center">1.2 &#x00B1; 0.1</td>
<td valign="top" align="center">1.3 &#x00B1; 0.3</td>
<td valign="top" align="center">1.2 &#x00B1; 0.0</td>
<td valign="top" align="center">0.885</td>
</tr>
<tr>
<td valign="top" align="left">Methionine</td>
<td valign="top" align="center">0.3 &#x00B1; 0.0</td>
<td valign="top" align="center">0.4 &#x00B1; 0.0</td>
<td valign="top" align="center">0.3 &#x00B1; 0.0</td>
<td valign="top" align="center">0.3 &#x00B1; 0.0</td>
<td valign="top" align="center">0.969</td>
</tr>
<tr>
<td valign="top" align="left">Isoleucine</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1</td>
<td valign="top" align="center">3.3 &#x00B1; 0.1</td>
<td valign="top" align="center">3.5 &#x00B1; 0.5</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1</td>
<td valign="top" align="center">0.385</td>
</tr>
<tr>
<td valign="top" align="left">Leucine</td>
<td valign="top" align="center">6.5 &#x00B1; 0.1</td>
<td valign="top" align="center">6.5 &#x00B1; 0.2</td>
<td valign="top" align="center">6.3 &#x00B1; 0.2</td>
<td valign="top" align="center">6.7 &#x00B1; 0.2</td>
<td valign="top" align="center">0.268</td>
</tr>
<tr>
<td valign="top" align="left">Tyrosine</td>
<td valign="top" align="center">2.3 &#x00B1; 0.0</td>
<td valign="top" align="center">2.4 &#x00B1; 0.1</td>
<td valign="top" align="center">2.2 &#x00B1; 0.1</td>
<td valign="top" align="center">2.6 &#x00B1; 0.1</td>
<td valign="top" align="center">0.831</td>
</tr>
<tr>
<td valign="top" align="left">Phenylalanine</td>
<td valign="top" align="center">3.5 &#x00B1; 0.1</td>
<td valign="top" align="center">3.5 &#x00B1; 0.1</td>
<td valign="top" align="center">3.4 &#x00B1; 0.1</td>
<td valign="top" align="center">3.7 &#x00B1; 0.3</td>
<td valign="top" align="center">0.349</td>
</tr>
<tr>
<td valign="top" align="left">Lysine</td>
<td valign="top" align="center">5.3 &#x00B1; 0.2</td>
<td valign="top" align="center">5.2 &#x00B1; 0.3</td>
<td valign="top" align="center">5.2 &#x00B1; 0.3</td>
<td valign="top" align="center">5.4 &#x00B1; 0.2</td>
<td valign="top" align="center">0.879</td>
</tr>
<tr>
<td valign="top" align="left">Histidine</td>
<td valign="top" align="center">1.9 &#x00B1; 0.1</td>
<td valign="top" align="center">1.9 &#x00B1; 0.0</td>
<td valign="top" align="center">1.8 &#x00B1; 0.1</td>
<td valign="top" align="center">2.1 &#x00B1; 0.1</td>
<td valign="top" align="center">0.101</td>
</tr>
<tr>
<td valign="top" align="left">Arginine</td>
<td valign="top" align="center">4.4 &#x00B1; 0.1</td>
<td valign="top" align="center">4.3 &#x00B1; 0.1</td>
<td valign="top" align="center">4.3 &#x00B1; 0.2</td>
<td valign="top" align="center">4.5 &#x00B1; 0.2</td>
<td valign="top" align="center">0.606</td>
</tr>
<tr>
<td valign="top" align="left">Proline</td>
<td valign="top" align="center">3.0 &#x00B1; 0.1</td>
<td valign="top" align="center">3.0 &#x00B1; 0.1</td>
<td valign="top" align="center">2.9 &#x00B1; 0.1</td>
<td valign="top" align="center">3.0 &#x00B1; 0.0</td>
<td valign="top" align="center">0.530</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Data are expressed as mean &#x00B1; SEM. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>Effect of brewers&#x2019; spent grain on the compositions of fatty acids in livers of Landes geese</title>
<p>The results of the effects of BSG on the compositions of fatty acids in the livers of Landes geese in 90 days were shown in <xref ref-type="table" rid="T6">Table 6</xref>. The results revealed the significant decrease in the contents of dodecanoic acid C12:0 (<italic>P</italic> &#x003C; 0.05) and docosahexaenoic acid C22:2 (<italic>P</italic> &#x003C; 0.01) in the livers of geese fed with BSG. The content of eleic acid C18:1 was significantly higher in group W than that of group C (<italic>P</italic> &#x003C; 0.05), while the content of eicosadienoic acid C20:2 was significantly lower in both groups F and W than that of group C (<italic>P</italic> &#x003C; 0.05). It was noted that compared with group C, the contents of the saturated fatty acid &#x03A3;SFA and unsaturated fatty acid &#x03A3;SFU in group W tended to decrease and increase, respectively.</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Effects of brewers&#x2019; spent grain (BSG) on the compositions of fatty acids in the livers of four groups of Landes geese (i.e., groups C, B, F, and W) in 90 days.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Fatty acid</td>
<td valign="top" align="center">Group C</td>
<td valign="top" align="center">Group B</td>
<td valign="top" align="center">Group F</td>
<td valign="top" align="center">Group W</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Decanoic acid C10:0</td>
<td valign="top" align="center">0.05 &#x00B1; 0.01</td>
<td valign="top" align="center">0.06 &#x00B1; 0.01</td>
<td valign="top" align="center">0.06 &#x00B1; 0.02</td>
<td valign="top" align="center">0.08 &#x00B1; 0.01</td>
<td valign="top" align="center">0.293</td>
</tr>
<tr>
<td valign="top" align="left">Eleven carbonic acid C11:0</td>
<td valign="top" align="center">0.04 &#x00B1; 0.01</td>
<td valign="top" align="center">0.04 &#x00B1; 0.01</td>
<td valign="top" align="center">0.03 &#x00B1; 0.01</td>
<td valign="top" align="center">0.064 &#x00B1; 0.02</td>
<td valign="top" align="center">0.185</td>
</tr>
<tr>
<td valign="top" align="left">Dodecanoic acid C12:0</td>
<td valign="top" align="center">0.06 &#x00B1; 0.01<xref ref-type="table-fn" rid="t6fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.03 &#x00B1; 0.00<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.03 &#x00B1; 0.00<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.04 &#x00B1; 0.00<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">Myristic acid C14:0</td>
<td valign="top" align="center">0.51 &#x00B1; 0.01</td>
<td valign="top" align="center">0.53 &#x00B1; 0.00</td>
<td valign="top" align="center">0.42 &#x00B1; 0.07</td>
<td valign="top" align="center">0.43 &#x00B1; 0.05</td>
<td valign="top" align="center">0.060</td>
</tr>
<tr>
<td valign="top" align="left">Palmitic acid C16:0</td>
<td valign="top" align="center">22.05 &#x00B1; 0.35</td>
<td valign="top" align="center">21.56 &#x00B1; 0.94</td>
<td valign="top" align="center">21.41 &#x00B1; 0.22</td>
<td valign="top" align="center">20.43 &#x00B1; 0.65</td>
<td valign="top" align="center">0.192</td>
</tr>
<tr>
<td valign="top" align="left">Hexadecanoic acid C16:1</td>
<td valign="top" align="center">2.05 &#x00B1; 0.71</td>
<td valign="top" align="center">1.84 &#x00B1; 0.23</td>
<td valign="top" align="center">1.65 &#x00B1; 0.25</td>
<td valign="top" align="center">1.64 &#x00B1; 0.06</td>
<td valign="top" align="center">0.718</td>
</tr>
<tr>
<td valign="top" align="left">Seventeen carbonic acid C17:0</td>
<td valign="top" align="center">0.07 &#x00B1; 0.01</td>
<td valign="top" align="center">0.08 &#x00B1; 0.03</td>
<td valign="top" align="center">0.07 &#x00B1; 0.01</td>
<td valign="top" align="center">0.08 &#x00B1; 0.01</td>
<td valign="top" align="center">0.803</td>
</tr>
<tr>
<td valign="top" align="left">Stearic acid C18:0</td>
<td valign="top" align="center">14.71 &#x00B1; 2.21</td>
<td valign="top" align="center">15.59 &#x00B1; 1.33</td>
<td valign="top" align="center">15.31 &#x00B1; 0.08</td>
<td valign="top" align="center">15.46 &#x00B1; 0.11</td>
<td valign="top" align="center">0.905</td>
</tr>
<tr>
<td valign="top" align="left">Eleic acid C18:1</td>
<td valign="top" align="center">53.52 &#x00B1; 1.70<xref ref-type="table-fn" rid="t6fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">54.09 &#x00B1; 0.13<xref ref-type="table-fn" rid="t6fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">56.32 &#x00B1; 0.47<sup>ab</sup></td>
<td valign="top" align="center">57.17 &#x00B1; 1.03<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">Translinoleic acid C18:2</td>
<td valign="top" align="center">1.58 &#x00B1; 0.45</td>
<td valign="top" align="center">1.58 &#x00B1; 0.14</td>
<td valign="top" align="center">1.50 &#x00B1; 0.09</td>
<td valign="top" align="center">1.61 &#x00B1; 0.13</td>
<td valign="top" align="center">0.973</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B1;-linolenic acid C18:3</td>
<td valign="top" align="center">0.13 &#x00B1; 0.05</td>
<td valign="top" align="center">0.09 &#x00B1; 0.01</td>
<td valign="top" align="center">0.09 &#x00B1; 0.01</td>
<td valign="top" align="center">0.08 &#x00B1; 0.01</td>
<td valign="top" align="center">0.371</td>
</tr>
<tr>
<td valign="top" align="left">&#x03BB;-linolenic acid C18:3</td>
<td valign="top" align="center">0.09 &#x00B1; 0.02</td>
<td valign="top" align="center">0.14 &#x00B1; 0.02</td>
<td valign="top" align="center">0.07 &#x00B1; 0.00</td>
<td valign="top" align="center">0.08 &#x00B1; 0.01</td>
<td valign="top" align="center">0.450</td>
</tr>
<tr>
<td valign="top" align="left">Arachidonic acid C20:0</td>
<td valign="top" align="center">0.14 &#x00B1; 0.04</td>
<td valign="top" align="center">0.17 &#x00B1; 0.04</td>
<td valign="top" align="center">0.16 &#x00B1; 0.01</td>
<td valign="top" align="center">0.15 &#x00B1; 0.01</td>
<td valign="top" align="center">0.766</td>
</tr>
<tr>
<td valign="top" align="left">Eicosadienoic acid C20:2</td>
<td valign="top" align="center">0.30 &#x00B1; 0.04<xref ref-type="table-fn" rid="t6fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.31 &#x00B1; 0.04<xref ref-type="table-fn" rid="t6fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.21 &#x00B1; 0.02<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.20 &#x00B1; 0.01<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left">Eicosatetraenoic acid C20:3</td>
<td valign="top" align="center">0.19 &#x00B1; 0.06</td>
<td valign="top" align="center">0.18 &#x00B1; 0.11</td>
<td valign="top" align="center">0.10 &#x00B1; 0.05</td>
<td valign="top" align="center">0.12 &#x00B1; 0.01</td>
<td valign="top" align="center">0.535</td>
</tr>
<tr>
<td valign="top" align="left">Arachidonic acid C20:4</td>
<td valign="top" align="center">1.80 &#x00B1; 0.42</td>
<td valign="top" align="center">1.64 &#x00B1; 0.00</td>
<td valign="top" align="center">1.26 &#x00B1; 0.12</td>
<td valign="top" align="center">1.46 &#x00B1; 0.01</td>
<td valign="top" align="center">0.115</td>
</tr>
<tr>
<td valign="top" align="left">Eicosapentaenoic acid C20:5</td>
<td valign="top" align="center">0.08 &#x00B1; 0.01</td>
<td valign="top" align="center">0.08 &#x00B1; 0.06</td>
<td valign="top" align="center">0.07 &#x00B1; 0.02</td>
<td valign="top" align="center">0.07 &#x00B1; 0.03</td>
<td valign="top" align="center">0.935</td>
</tr>
<tr>
<td valign="top" align="left">Docosanoic acid C22:0</td>
<td valign="top" align="center">0.37 &#x00B1; 0.17</td>
<td valign="top" align="center">0.19 &#x00B1; 0.21</td>
<td valign="top" align="center">0.64 &#x00B1; 0.00</td>
<td valign="top" align="center">0.02 &#x00B1; 0.01</td>
<td valign="top" align="center">0.104</td>
</tr>
<tr>
<td valign="top" align="left">Docosyl monoenoic acid C22:1</td>
<td valign="top" align="center">0.04 &#x00B1; 0.01</td>
<td valign="top" align="center">0.07 &#x00B1; 0.01</td>
<td valign="top" align="center">0.05 &#x00B1; 0.02</td>
<td valign="top" align="center">0.06 &#x00B1; 0.03</td>
<td valign="top" align="center">0.537</td>
</tr>
<tr>
<td valign="top" align="left">Docosahexadienoic acid C22:2</td>
<td valign="top" align="center">2.02 &#x00B1; 0.04<xref ref-type="table-fn" rid="t6fn1"><sup>a</sup></xref></td>
<td valign="top" align="center">1.61 &#x00B1; 0.13<xref ref-type="table-fn" rid="t6fn1"><sup>b</sup></xref></td>
<td valign="top" align="center">1.01 &#x00B1; 0.04<xref ref-type="table-fn" rid="t6fn1"><sup>c</sup></xref></td>
<td valign="top" align="center">0.95 &#x00B1; 0.03<xref ref-type="table-fn" rid="t6fn1"><sup>c</sup></xref></td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Docosahexaenoic acid C22:6</td>
<td valign="top" align="center">0.06 &#x00B1; 0.11</td>
<td valign="top" align="center">0.08 &#x00B1; 0.02</td>
<td valign="top" align="center">0.10 &#x00B1; 0.01</td>
<td valign="top" align="center">0.10 &#x00B1; 0.02</td>
<td valign="top" align="center">0.114</td>
</tr>
<tr>
<td valign="top" align="left">Tricosanoic acid C23:0</td>
<td valign="top" align="center">0.13 &#x00B1; 0.12</td>
<td valign="top" align="center">0.05 &#x00B1; 0.03</td>
<td valign="top" align="center">0.01 &#x00B1; 0.00</td>
<td valign="top" align="center">0.14 &#x00B1; 0.16</td>
<td valign="top" align="center">0.399</td>
</tr>
<tr>
<td valign="top" align="left">Saturated fatty acids &#x03A3;SFA</td>
<td valign="top" align="center">38.17 &#x00B1; 2.02</td>
<td valign="top" align="center">38.30 &#x00B1; 0.14</td>
<td valign="top" align="center">37.57 &#x00B1; 0.18</td>
<td valign="top" align="center">36.90 &#x00B1; 0.64</td>
<td valign="top" align="center">0.638</td>
</tr>
<tr>
<td valign="top" align="left">Unsaturated fatty acid &#x03A3;SFU</td>
<td valign="top" align="center">61.87 &#x00B1; 1.53</td>
<td valign="top" align="center">61.70 &#x00B1; 0.14</td>
<td valign="top" align="center">62.43 &#x00B1; 0.18</td>
<td valign="top" align="center">63.13 &#x00B1; 0.64</td>
<td valign="top" align="center">0.423</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t6fn1"><p>Data presented as the percentage of the total content of fatty acids. Data are expressed as mean &#x00B1; SEM. <sup>a&#x2013;c</sup>Means within the same row with different superscripts differ Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS6">
<title>Effect of brewers&#x2019; spent grain on the bacterial diversity of the intestinal microbiota in Landes geese</title>
<p>To explore the effects of BSG on the intestinal microbiota of Landes geese, the 16S rRNA gene was sequenced based on the genomic DNA extracted from the cecal contents of the Landes geese. After screening and splicing of the raw reads, a total of 3,055,821 valid reads were obtained with an average of 50,095 &#x00B1; 1,155 reads per sample and an average length of 419 &#x00B1; 0.28 bp (<xref ref-type="supplementary-material" rid="TS5">Supplementary Table 5</xref>). The clean reads were clustered based on 97% similarity to obtain the representative sequences of OTUs. The rarefaction curve of each sample generally tended to be flat, suggesting that the level of RNA-Seq analysis was sufficient to cover all taxa in the sample (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>). Three alpha diversity indices were determined based on the OTUs, i.e., the Chao1 index was evaluated to assess the community richness (<xref ref-type="fig" rid="F1">Figure 1A</xref>), while both the Shannon (<xref ref-type="fig" rid="F1">Figure 1B</xref>) and the Simpson (<xref ref-type="fig" rid="F1">Figure 1C</xref>) indices were measured to evaluate the community diversity. The results showed that in 60 days, no significant difference was observed in the Chao1, Shannon, and Simpson indices in four groups of Landes geese (<italic>P</italic> &#x003E; 0.05). In 90 days, it was noted that the alpha diversity indices showed an extremely significant difference compared with those of 60 days, showing that the community richness and diversity in cecum of Landes geese were decreased extremely significantly during the overfeeding stage.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Effect of brewers&#x2019; spent grain (BSG) on the alpha diversity of cecal microbiota in Landes geese in 60 and 90 days. <bold>(A)</bold> Chao1 index. <bold>(B)</bold> Shannon index. <bold>(C)</bold> Simpson index. Symbol &#x201C;&#x002A;&#x002A;&#x201D; indicates the significant difference at <italic>P</italic> &#x003C; 0.01. Group C=, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g001.tif"/>
</fig>
<p>In order to further explore the effects of BSG on the cecal microbiota of Landes geese, the cluster classification of OTUs was investigated at the phylum level (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). The results revealed <italic>Bacteroides</italic> and <italic>Firmicutes</italic> as the top two bacterial phyla with the highest relative abundances in the cecal microbes of Landes geese during both the rearing and the overfeeding stages. Among the top seven abundant phyla (<xref ref-type="fig" rid="F2">Figure 2B</xref>), the relative abundances of <italic>Proteobacteria</italic> in all four groups of Landes geese were significantly increased in 90 days compared with those in 60 days (<italic>P</italic> &#x003C; 0.01), whereas the relative abundances of <italic>Spirochaetota</italic> in all four groups of Landes geese were significantly decreased in 90 days compared with those in 60 days (<italic>P</italic> &#x003C; 0.01). In 90 days, the relative abundance of <italic>Bacteroidetes</italic> in group W was significantly higher than those in groups C, B, and F (<italic>P</italic> &#x003C; 0.05; <xref ref-type="fig" rid="F2">Figure 2B</xref>). In 60 days, the <italic>Firmicutes/Bacteroidetes</italic> (F/B) ratio in both groups W and F were increased, though not significantly (<italic>P</italic> &#x003E; 0.05), compared with those of groups C and B (<xref ref-type="fig" rid="F2">Figure 2C</xref>). We then evaluated the variations in the relative abundances of the cecal microbiota in four groups of Landes geese in 60 and 90 days at the genus level (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>). The results showed that the relative abundances of <italic>Bacteroides</italic> (<italic>P</italic> &#x003C; 0.05), <italic>Lachnospiraceae</italic> (<italic>P</italic> &#x003C; 0.01), and <italic>unclassified_f_Oscillospiraceae</italic> (<italic>P</italic> &#x003C; 0.01) in all four groups of Landes geese on day 90 were significantly increased compared to those on day 60. In 60 days, no significant difference was observed in the relative abundance at the genus level of the four groups of Landes geese. In 90 days, the relative abundances of <italic>Escherichia-Shigella</italic> in groups B, F, and W were decreased, though not significantly (<italic>P</italic> &#x003E; 0.05), compared with that of group C. The relative abundances of <italic>Lachnospiraceae</italic> in groups F and W were significantly lower than that in group C (<italic>P</italic> &#x003C; 0.05), whereas the relative abundances of <italic>prevotellaceae_Ga6A1_group</italic> in groups B (<italic>P</italic> &#x003C; 0.01), F (<italic>P</italic> &#x003C; 0.05), and W (<italic>P</italic> &#x003C; 0.01) were significantly lower than that in group C.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The microbiome compositions in cecum at the phylum level based on the 16S rRNA sequencing in four groups of Landes geese (i.e., groups C, B, F, and W) on both days 60 and 90. <bold>(A)</bold> The relative abundances of the top seven bacterial phyla in the microbiome of Landes geese on days 60 and 90. <bold>(B)</bold> The relative abundances of top seven bacterial phyla among the four groups of Landes geese on days 60 and 90 showing the statistical significance. <bold>(C)</bold> The <italic>Firmicutes/Bacteroides</italic> (F/B) ratio in four groups of Landes geese on days 60 and 90. Values are represented as the mean &#x00B1; stand error of the mean (SEM) (<italic>n</italic> = 8 geese per group). The significant difference is set at <italic>P</italic> &#x003C; 0.05 (&#x002A;) and <italic>P</italic> &#x003C; 0.01 (&#x002A;&#x002A;), respectively. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The microbiome compositions in cecum at the genus level based on the 16S rRNA sequencing in four groups of Landes geese (i.e., groups C, B, F, and W) on both day 60 and 90. <bold>(A)</bold> The relative abundances of the top 18 bacterial taxa in the microbiome of the Landes geese on day 60 and 90. <bold>(B)</bold> The relative abundances of the top 18 bacterial taxa in the microbiome of the Landes geese on day 60 and 90 showing the statistical significance. Values are represented as the mean &#x00B1; stand error of the mean (SEM) (<italic>n</italic> = 8 geese per group). The significant difference is set at <italic>P</italic> &#x003C; 0.05 (&#x002A;) and <italic>P</italic> &#x003C; 0.01 (&#x002A;&#x002A;), respectively. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS7">
<title>Transcriptomics analysis of fatty liver in Landes geese</title>
<p>The transcriptomics analysis was performed based on a total of 32 liver samples (n = 8 samples per group) for four groups of Landes geese (<xref ref-type="supplementary-material" rid="TS6">Supplementary Table 6</xref>). A total of 225.71 Gb of clean data were obtained with the exclusion of low-quality sequences, while the large portion of the filtered reads (&#x003E;88%) showed a Phred quality score &#x003E; 30 (i.e., base Q30). Results showed that the Pearson correlation coefficients (<italic>R</italic><sup>2</sup>) among the biological repeats in all four groups of Landes geese were high (<xref ref-type="fig" rid="F4">Figure 4A</xref>), suggesting that the RNA-Seq data were reliable for further analyses. The expressions of a total of 10,033, 10,313, 10,252, and 10,426 genes were detected in the liver tissues of four groups of Landes geese, i.e., C, B, F, and W, respectively, with a total of 9,865 genes expressed commonly in all four groups of geese (<xref ref-type="fig" rid="F4">Figure 4B</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Transcriptomic profiles of liver tissues in four groups of Landes geese (i.e., groups C, B, F, and W) on day 90. <bold>(A)</bold> The Pearson correlation coefficient (<italic>R</italic><sup>2</sup>) heat map among individual samples in four groups of Landes geese (<italic>P</italic> &#x003C; 0.01). <bold>(B)</bold> Venn diagram showing the number of expressed genes detected in four groups of Landes geese. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g004.tif"/>
</fig>
<p>The total number of DEGs varied in different pairwise comparisons (<xref ref-type="table" rid="T7">Table 7</xref>). A total of 866 DEGs were identified in the four groups of Landes geese using DESeq (<xref ref-type="supplementary-material" rid="TS7">Supplementary Table 7</xref>). The DEGs identified in the fatty livers of the Landes geese were further annotated based on the GO database (<xref ref-type="supplementary-material" rid="TS8">Supplementary Table 8</xref>). The results of GO annotation analysis showed that the functions of DEGs were classified into three categories, including biological process (BP), cellular component (CC), and molecular function (MF). Among the top five GO terms in each of these three categories (<xref ref-type="fig" rid="F5">Figure 5</xref>), the highest number of genes were annotated in the GO term of signaling receptor binding in all three pairwise comparisons, followed by the GO terms of extracellular space and anatomical structure morphogenesis.</p>
<table-wrap position="float" id="T7">
<label>TABLE 7</label>
<caption><p>Differentially expressed genes (DEGs) identified in three pairwise comparisons between the control (group C) and each of the three experiments groups of Landes geese (i.e., groups F, B, and W) treated with brewers&#x2019; spent grain (BSG) on day 90 based on transcriptomics analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Groups C vs. F</td>
<td valign="top" align="center">Groups C vs. B</td>
<td valign="top" align="center">Groups C vs. W</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Up-regulated</td>
<td valign="top" align="center">169</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">296</td>
</tr>
<tr>
<td valign="top" align="left">Down-regulated</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">84</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">186</td>
<td valign="top" align="center">380</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Gene Ontology (GO) annotation of the differentially expressed genes (DEGs) identified between the control (group C) and each of the three experimental groups of Landes geese (i.e., groups F, B, and W) on day 90 showing the top five GO terms in each of the three categories of GO terms, including molecular function (MF), cellular component (CC), and biological process (BP). Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g005.tif"/>
</fig>
<p>The enrichment analysis of DEGs identified in the fatty livers of the Landes geese were further performed based on the KEGG database (<xref ref-type="fig" rid="F6">Figure 6</xref>). The results showed that the DEGs identified in group W compared with group C were highly enriched in three metabolic pathways (i.e., ECM-receptor interaction, PI3K-Akt signaling pathway, and sphingolipid signaling pathway), while the other three pathways (i.e., IL-17 signaling pathway, NF-kappa B signaling pathway, and B cell receptor signaling pathway) were highly enriched by DEGs identified in group F compared with group C. The <italic>Q</italic>-values of the KEGG enrichment analysis indicated that most of the genes enriched were involved in the biosynthesis of secondary metabolites.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database of the differentially expressed genes (DEGs) identified between the control (group C) and each of the three experimental groups of Landes geese (i.e., groups F, B, and W) on day 90. The larger Rich factor value indicates the greater enrichment. The size of the dots indicates proportionally the number of genes enriched in the pathway; the color of the dots corresponds to the <italic>P</italic>-value ranges. Group C, control group; Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g006.tif"/>
</fig>
</sec>
<sec id="S3.SS8">
<title>Kyoto encyclopedia of genes and genomes enrichment analysis of differentially expressed gene between groups C and W of Landes geese</title>
<p>Due to the extremely significant difference in the liver weight between groups W and C of Landes geese, the KEGG enrichment analysis of the DEGs identified between groups W and C was performed to further evaluate the functions of these genes involved in different metabolic pathways (<xref ref-type="table" rid="T8">Table 8</xref>). The results showed that in group W, the down-regulated DEGs were significantly enriched in two metabolic pathways (i.e., the protein processing in endoplasmic reticulum and the endocytosis), while the up-regulated DEGs were significantly enriched in four metabolic pathways, including PI3K-Akt signaling pathway, sphingolipid signaling pathway, sphingolipid metabolism, and biosynthesis of unsaturated fatty acids.</p>
<table-wrap position="float" id="T8">
<label>TABLE 8</label>
<caption><p>Enrichment analysis of differentially expressed genes (DEGs) identified between groups C and W of Landes geese on day 90 based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">DEG</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
<td valign="top" align="center">Number of gene</td>
<td valign="top" align="left">KEGG pathway</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Up-regulated</td>
<td/>
<td valign="top" align="center">28</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>PPP2R2B, BCL2, PPP2R3B, LAMC2, LAMA2, LAMA4, COL6A1, HGF, THBS2, KIT, FGF10, ANGPT4, IL2RA, COL6A3, PDGFRA</italic></td>
<td valign="top" align="center">0.000571</td>
<td valign="top" align="center">15</td>
<td valign="top" align="left">PI3K-Akt signaling pathway</td>
</tr>
<tr>
<td valign="top" align="left"><italic>PPP2R2B, PLCB4, BCL2, PPP2R3B, SGPP1, ASAH2, CERS6</italic></td>
<td valign="top" align="center">0.003413</td>
<td valign="top" align="center">7</td>
<td valign="top" align="left">Sphingolipid signaling pathway</td>
</tr>
<tr>
<td valign="top" align="left"><italic>GAL3ST1, SGPP1, ASAH2, CERS6</italic></td>
<td valign="top" align="center">0.011893</td>
<td valign="top" align="center">4</td>
<td valign="top" align="left">Sphingolipid metabolism</td>
</tr>
<tr>
<td valign="top" align="left"><italic>ELOVL7, LOC106048282</italic></td>
<td valign="top" align="center">0.150318</td>
<td valign="top" align="center">2</td>
<td valign="top" align="left">Biosynthesis of unsaturated fatty acids</td>
</tr>
<tr>
<td valign="top" align="left">Down-regulated</td>
<td/>
<td valign="top" align="center">8</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>HSPA8, LOC106048968, HSPA2, HSPH1</italic></td>
<td valign="top" align="center">0.005821</td>
<td valign="top" align="center">4</td>
<td valign="top" align="left">Protein processing in endoplasmic reticulum</td>
</tr>
<tr>
<td valign="top" align="left"><italic>HSPA8, IQSEC3, LOC106044678, HSPA2</italic></td>
<td valign="top" align="center">0.021602</td>
<td valign="top" align="center">4</td>
<td valign="top" align="left">Endocytosis</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Group C, control group; Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS9">
<title>Validation of differentially expressed genes</title>
<p>To validate the identification of DEGs between the groups C and W determined by RNA-Seq, a total of six DEGs (<italic>CASQ2</italic>, <italic>SPR</italic>, <italic>PSPH</italic>, <italic>HTR2C</italic>, <italic>DGKI</italic>, and <italic>ELOVL7</italic>) were randomly selected for qRT-PCR analysis (<xref ref-type="fig" rid="F7">Figure 7</xref>). The results showed that in group W, three genes (i.e., <italic>CASQ2</italic>, <italic>SPR</italic>, and <italic>PSPH</italic>) were down-regulated, while the other three genes (i.e., <italic>HTR2C</italic>, <italic>DGKI</italic>, and <italic>ELOVL7</italic>) were up-regulated. These results were consistent with those of the RNA-Seq analysis, therefore validating the results of the RNA-Seq analysis.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>The expression fold changes in six randomly selected differentially expressed genes (DEGs) between groups C and W of Landes geese based on the quantitative real-time PCR (qRT-PCR) analysis validating the expression patterns revealed by the RNA-Seq analysis. Group C, control group; Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-970563-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Due to the increasing demand of various types of meat products worldwide, e.g., chicken, beef, and pork, the feed prices have been rapidly escalating. Therefore, it is practically and financially essential to identify feed supplements that are both nutritious and inexpensive. The BSG is the main by-product of the brewing industry and is commonly used in animal feeds, simply because the BSG is not only less expensive than most raw materials available on the market, but also rich in nutrients (<xref ref-type="bibr" rid="B10">Bianco et al., 2020</xref>). Furthermore, the BSG may contain microbes capable of producing endogenous ethanol. For example, studies reported a strong correlation between the amount of endogenous ethanol produced in the intestine of obese patients and the pathogenesis of NAFLD (<xref ref-type="bibr" rid="B67">Nair et al., 2001</xref>), showing the high relative abundance of alcohol-producing bacteria in the microbiota of NAFLD patients. Moreover, it was suggested that the endogenous ethanol production could promote liver steatosis by stimulating the inflammatory signals (<xref ref-type="bibr" rid="B44">Jandhyala et al., 2015</xref>; <xref ref-type="bibr" rid="B13">Boursier and Diehl, 2016</xref>). In our study, the beneficial effects of BSG, used as the feed additives, on the liver production performance of Landes geese through the &#x201C;gut-liver axis&#x201D; and on the growth performance, intestinal morphological structure, serum biochemical indicators of Landes geese, were investigated based on transcriptomics analysis. Our study provided novel experimental evidence to support the further investigations and applications of BSG in the fat deposition regulation by modulating the gut microbiota in the Landes geese.</p>
<sec id="S4.SS1">
<title>Effects of brewers&#x2019; spent grain on the growth performance of Landes geese</title>
<p>Previous studies reported that the addition of 20% brewers&#x2019; dried grain to the diets of Vanaraja chicks significantly improved the carcass yield and enhanced profit margins without affecting the growth performance in birds (<xref ref-type="bibr" rid="B22">Denstadli et al., 2010</xref>). Furthermore, studies showed that BSG could be used to replace portion of the diet of growing pigs without causing adverse effects on daily weight gain and economic benefits (<xref ref-type="bibr" rid="B64">Mukasafari et al., 2018</xref>). However, these results were not consistent with the findings revealed in our study. In particular, our results showed that the addition of BSG in the feeds caused an increasing trend in both BW and ADG of Landes geese during the rearing period (<xref ref-type="table" rid="T2">Table 2</xref>). These conflicting results were probably because that the BSG used in our study was already fermented by microorganisms, and there were a large number of probiotics and enzymes in the fermented BSG, which could improve the digestibility of nutritional components, ultimately reducing the anti-nutritional factors and harmful components in the raw materials, as previously reported (<xref ref-type="bibr" rid="B2">Al-Khalaifah et al., 2020</xref>). Moreover, studies showed that the BSG could produce a type of unique fragrance derived from the probiotic fermentation, improving the feed intake and weight gain of lambs (<xref ref-type="bibr" rid="B27">Frasson et al., 2018</xref>), while the addition of 40% fermented brewers&#x2019; dried grain to the diet of Meihua pigs resulted in rapid weight gain and high feed remuneration, largely decreasing the feeding costs of Meihua pigs as well as effectively preventing diarrhea and reducing stool odor (<xref ref-type="bibr" rid="B86">Wu et al., 2018</xref>). These results suggested that the fermented BSG not only reduced the feeding costs but also improved the animal growth performance, showing significant potential of feed additives in animal feed industry.</p>
</sec>
<sec id="S4.SS2">
<title>Effects of brewers&#x2019; spent grain on the fatty liver deposition in Landes geese</title>
<p>It is well-known that beer fermentation is a metabolic process converting both monosaccharides and disaccharides into ethanol under anaerobic or micro-oxygen conditions by microorganisms such as yeast, while a large number of alcohol-producing microorganisms are identified in the BSG (<xref ref-type="bibr" rid="B91">Zabed et al., 2017</xref>; <xref ref-type="bibr" rid="B74">Rojas-Chamorro et al., 2020</xref>). For example, studies showed that the high gravity brewing yeast <italic>Saccharomyces cerevisiae</italic> BLGII 1762 and <italic>S. cerevisiae</italic> PE-2 isolated from the bioethanol industry produced ethanol with yields of 42.27 g/L and 40.3 g/L, respectively (<xref ref-type="bibr" rid="B72">Pinheiro et al., 2019</xref>). Furthermore, it was previously reported that the ethanol produced by high alcohol-producing bacteria was an important factor causing liver lipid accumulation and ultimately NAFLD (<xref ref-type="bibr" rid="B17">Chen et al., 2020</xref>). Studies have shown that in the obese mice, ethanol could be detected in exhaled gas even in the absence of ethanol intake, and the increased level of exhaled ethanol indicated the increased production of ethanol by the gut microbiota, which could contribute to the development of fatty liver (<xref ref-type="bibr" rid="B20">Cope et al., 2000</xref>). Moreover, studies showed that gut microbiota rich in alcohol-producing bacteria (e.g., <italic>Klebsiella pneumoniae</italic>) constantly produced more alcohol through 2,3-butanediol fermentation pathway involved in fatty liver disease (<xref ref-type="bibr" rid="B53">Li N. N. et al., 2021</xref>). In our study, the results showed that the addition of BSG in feeds caused significant increase in liver weight of Landes geese during the overfeeding stage (<xref ref-type="table" rid="T2">Table 2</xref>). This could be explained by the presence of endogenous ethanol-producing microorganisms in BSG causing the increased liver weight, suggesting the positive effect of microorganisms capable of producing endogenous ethanol to enhance the fatty liver deposition in Landes geese.</p>
</sec>
<sec id="S4.SS3">
<title>Effects of brewers&#x2019; spent grain on the serum biochemical index in Landes geese</title>
<p>Blood biochemical indices are generally considered sensitive indicators used to evaluate the body&#x2019;s systemic or local metabolic changes and the physiological functions of various types of tissues (<xref ref-type="bibr" rid="B47">Kani et al., 2013</xref>). In our study, the BSG significantly reduced the serum GLU level during the rearing stage (<xref ref-type="table" rid="T3">Table 3</xref>), while previous studies identified the correlation between the increased level of hunger and the observed decrease in blood GLU level (<xref ref-type="bibr" rid="B14">Campfield and Smith, 2003</xref>). Therefore, the significantly higher ADG in geese fed with BSG was not only due to the fermentation process that improved the palatability of the feeds, but also associated with the lower blood GLU level. Both AST and ALT are two important amino acid transferases that are generally detected at low levels in the blood, released from cells into the blood when tissue damage or necrosis occurs in organs such as the liver, resulting in the increased enzymatic activities in the serum (<xref ref-type="bibr" rid="B49">Kunde et al., 2005</xref>). Therefore, the serum levels of AST and ALT could reflect the health status of the liver and heart. In our study, the increased serum levels of both ALT and AST were observed in 90-day-old Landes geese compared with those of the 60-day-old geese (<xref ref-type="table" rid="T3">Table 3</xref>), suggesting that the force-feeding process caused the abnormal liver function, i.e., formation of fatty liver, as reported previously (<xref ref-type="bibr" rid="B58">Locsm&#x00E1;ndi et al., 2007</xref>).</p>
<p>The lipids synthesized in goose liver are either stored in hepatocytes as cytoplasmic droplets or secreted as lipoproteins into blood (<xref ref-type="bibr" rid="B38">Hermier, 1997</xref>). Our results showed that the overfeeding of Landes geese with BSG caused the significantly increased serum lipid concentration in Landes geese, with the contents of both HDL and VLDL increased considerably. However, no significant difference was observed in the contents of TG and CHO among the four groups of Landes geese (<xref ref-type="table" rid="T3">Table 3</xref>). These results were consistent with those reported previously. For example, due to the dramatic increase in new hepatic lipogenesis caused by overfeeding, both TG and CHO did not fully enter the secretory pathway with a large amount of TG remained and stored in the liver (<xref ref-type="bibr" rid="B57">Liu et al., 2020</xref>). Studies have shown that HDL could lower the blood cholesterol level mainly by transporting cholesterol from peripheral tissues and plasma to the liver for both metabolism and excretion through apolipoproteins (i.e., APOA1 and APOC3), while as the main form of endogenous cholesterol synthesized by the liver and transported to other tissues, the LDL is rich in cholesterol esters to release cholesterol through its APOB100 protein binding to receptors on non-hepatocyte plasma membranes (<xref ref-type="bibr" rid="B41">Ikonen, 2008</xref>; <xref ref-type="bibr" rid="B61">Min et al., 2012</xref>). Furthermore, studies reported that the increased rate of cholesterol synthesis in the liver in comparison to that of VLDL-C secretion resulted in a large amount of cholesterol deposition in the liver (<xref ref-type="bibr" rid="B35">Han et al., 2008</xref>; <xref ref-type="bibr" rid="B32">Griffin et al., 2009</xref>). Moreover, a positive correlation between VLDL-C concentration and liver weight was revealed in Polish geese (<xref ref-type="bibr" rid="B62">Mourot et al., 2000</xref>). These results indicated that the high VLDL-C concentration indicated the enhanced fat deposition in the liver tissue. In our study, increased HDL-C and VLDL-C secretion rates caused by the addition of BSG strongly indicated that BSG could make significant impact on the lipoproteins, which in turn affected the deposition of TG in the liver, ultimately increasing the weight of the fatty liver in Landes geese.</p>
</sec>
<sec id="S4.SS4">
<title>Effects of brewers&#x2019; spent grain on the intestinal morphology in Landes geese</title>
<p>The small intestine is the main organ for digestion and absorption, which are crucial to the growth performance of the Landes geese. Studies have shown that as the main microstructures functioning in nutrient absorption and transport, the villi with increased height obtained an enhanced nutrient absorption capacity, while the crypt depth (CD) reflected the turnover rate of the intestinal epithelium (<xref ref-type="bibr" rid="B33">Gu et al., 2020</xref>). Therefore, the villus height/crypt depth ratio (VCR) is commonly used as an important factor for evaluating the absorption capacity of small intestine. For example, it was reported that the addition of wine lees and soluble matter to broiler diets significantly (<italic>P</italic> &#x003C; 0.05) increased the jejunal villus height (VH) (<xref ref-type="bibr" rid="B1">Alizadeh et al., 2016</xref>), while the supplementation of diets with 2.5% fermented feed increased the proximal jejunal VH in geese, ultimately causing the beneficial effect on growth performance and nutrient digestibility (<xref ref-type="bibr" rid="B87">Yan et al., 2019</xref>). These results were consistent with our findings, showing that the BSG treatment markedly increased the VCRs of the duodenum, jejunum, and ileum of Landes geese (<xref ref-type="table" rid="T4">Table 4</xref>). These results strongly indicated that the fermented BSG enhanced the villus development and the absorption of nutrients in the small intestine, leading to the significantly increased BW and ADG in the Landes geese fed with BSG in comparison with those of the control group.</p>
</sec>
<sec id="S4.SS5">
<title>Effects of brewers&#x2019; spent grain on the compositions of liver amino acids and fatty acids in Landes geese</title>
<p>As two of the important indicators for evaluating the nutritional value of the goose liver, both the compositions and ratios of various amino acids and fatty acids affect the physicochemical properties and flavor of goose liver (<xref ref-type="bibr" rid="B56">Liu et al., 2011</xref>; <xref ref-type="bibr" rid="B95">Zhu et al., 2011</xref>). Amino acids could activate G protein-coupled receptors (GPCRs) to control the ion channels in the umami and sweet taste pathways, directly affecting the mammalian taste ability (<xref ref-type="bibr" rid="B68">Oike et al., 2006</xref>). In our study, no significant differences were observed in each amino acid in the livers of four groups of Landes geese (<xref ref-type="table" rid="T5">Table 5</xref>). However, the levels of glutamic acid, valine, histidine, and three types of aromatic amino acids (i.e., phenylalanine, tryptophan, and tyrosine) in the experimental groups of geese were slightly increased compared with those of the control group, suggesting that the addition of BSG could improve the flavor of goose liver.</p>
<p>As people&#x2019;s living standards rapidly improve, the polyunsaturated fatty acids (PUFAs) are increasingly demanded in the world market due to their health benefits. As the essential types of nutrient, the PUFAs have shown a preventive effect against chronic diseases (<xref ref-type="bibr" rid="B29">Gillingham et al., 2011</xref>). Therefore, it is now widely recommended to increase the intake of PUFAs in human diets (<xref ref-type="bibr" rid="B16">Chen et al., 2016</xref>). For example, it was reported that the addition of distillers&#x2019; dried grains in the laying duck diet significantly (<italic>P</italic> &#x003C; 0.01) increased the ratio of oleic acid (C18:1) and the total monounsaturated fatty acids in egg yolk (<xref ref-type="bibr" rid="B75">Ruan et al., 2018</xref>), while the concentration of the total PUFAs in the bull muscles fed with distillers&#x2019; grains was higher than that of the control group (<xref ref-type="bibr" rid="B37">He et al., 2015</xref>). In our study, the results showed that both C16:0 and C18:1 were the predominant fatty acids in the liver of Landes geese, with C18:1 accounted for more than 50% of the total fatty acids, while the addition of BSG increased the content of C18:1 to the highest levels in goose livers of group W compared to the control group (<xref ref-type="table" rid="T6">Table 6</xref>). In summary, the addition of BSG to the diets of Landes geese significantly increased the concentrations of unsaturated fatty acids in the livers of Landes geese.</p>
</sec>
<sec id="S4.SS6">
<title>Effects of brewers&#x2019; spent grain on the microbial diversity of the intestinal microbiota in Landes geese</title>
<p>It is important to understand the relationship between gut microbiota and growth performance in order to effectively improve the growth and production performance of Landes geese. In our study, the bacterial communities of the cecal samples were comparatively investigated among the four groups of geese on both day 60 and 90. The results showed that species richness and diversity of the microbial communities were not significantly altered by the addition of BSG during the entire experiment of both the rearing and overfeeding stages (<xref ref-type="fig" rid="F1">Figure 1</xref>). However, the alpha diversity indices (i.e., Chao1, Shannon, and Simpson) of Landes geese were decreased after the overfeeding stage. Studies reported that in both the ileal and cecal samples, the probiotic addition showed no significant effect on species richness and diversity before overfeeding, whereas both diversity and species richness tended to decrease after the overfeeding (<xref ref-type="bibr" rid="B26">Even et al., 2018</xref>). These results were consistent with the findings revealed in our study, suggesting that the overfeeding could modulate the intestinal microbiota in Landes geese.</p>
<p>Our results revealed that all cecal samples were relatively dominated by both Bacteroidota and Firmicutes at the phylum level (<xref ref-type="fig" rid="F2">Figure 2A</xref>), similar to the results previously reported (<xref ref-type="bibr" rid="B82">Waite and Taylor, 2014</xref>), and were dominated by <italic>Bacteroides</italic>, <italic>Desulfovibrio</italic>, and <italic>Rikenellaceae_RC9_gut_group</italic> at the genus level (<xref ref-type="fig" rid="F3">Figure 3A</xref>). As a generally predominant genus in the poultry intestine, <italic>Bacteroides</italic> shows its unique physiological characteristics (<xref ref-type="bibr" rid="B5">Aruwa et al., 2021</xref>), e.g., regulating the intestinal redox level (<xref ref-type="bibr" rid="B84">Wexler and Goodman, 2017</xref>), participating in the carbohydrate metabolism, and generating the main end-products (i.e., acetate, propionate, and butyrate) in sugar fermentation (<xref ref-type="bibr" rid="B28">Fu et al., 2019</xref>). Studies have shown that the relative abundance of <italic>Bacteroidetes</italic> was increased in the laying hens as a model group for NASH (<xref ref-type="bibr" rid="B34">Hamid et al., 2019</xref>). Furthermore, it was reported that the gut <italic>Firmicutes</italic>/<italic>Bacteroidetes</italic> ratio was positively correlated with steatosis in the obese patient group (<xref ref-type="bibr" rid="B45">Jasirwan et al., 2021</xref>). Moreover, studies have shown that an increase in the proportion of <italic>Proteobacteria</italic> is the most significant change in gut-liver axis induced hepatic steatosis in mice (<xref ref-type="bibr" rid="B81">Vasques-Monteiro et al., 2021</xref>). In our study, the relative abundances of <italic>Proteobacteria</italic> in all four groups of Landes geese were significantly increased after the overfeeding stage (<xref ref-type="fig" rid="F2">Figure 2B</xref>). However, there was no significant difference in the relative abundance of <italic>Proteobacteria</italic> between the four groups of Landers geese (i.e., groups C, B, F, and W) in 90 days. These results suggested that future studies should also evaluate the microbial taxa at both genus and family levels in the phylum <italic>Proteobacteria</italic> in order to explore the development of NAFLD. Studies have shown that <italic>Phascolarctobacterium</italic> was a substantially main acetate propionate producer that could be dramatically increased by berberine and metformin (<xref ref-type="bibr" rid="B85">Wu et al., 2017</xref>). Moreover, it was suggested that the high relative abundance of <italic>Phascolarctobacterium</italic> in low-aerobic-capacity rats could contribute to their susceptibility to acute high fat diet-induced hepatic steatosis (<xref ref-type="bibr" rid="B70">Panasevich et al., 2016</xref>). Furthermore, <italic>Lachnospiraceae</italic> have been recognized as fermentative commensals that produce short-chain fatty acids (SCFAs), which are involved in the maintenance of intestinal health (<xref ref-type="bibr" rid="B79">Sorbara et al., 2020</xref>). Our results showed that the relative abundances of both <italic>Phascolarctobacterium</italic> and <italic>Lachnospiraceae</italic> were increased after the overfeeding stage (<xref ref-type="fig" rid="F3">Figure 3B</xref>). However, the relative abundances of <italic>Phascolarctobacterium</italic> and <italic>Lachnospiraceae</italic> were decreased with the addition of BSG in feeds, which was inconsistent with our results of growth performance in Landes geese, probably due to the consumption of the nutrients by <italic>Bacillus subtilis</italic> and yeast entering the intestinal tract, suggesting that feeding fermented BSG was not conducive to the growth of <italic>Phascolarctobacterium</italic> and <italic>Lachnospiraceae</italic>. Indeed, studies showed that the relative abundance of <italic>Phascolarctobacterium</italic> and <italic>Lachnospiraceae_uncultured</italic> were decreased by adding fermented feed to geese diets (<xref ref-type="bibr" rid="B90">Yuan et al., 2019</xref>). Furthermore, studies showed that both &#x03B2;-glucans and arabinoxylan inhibited the proliferation of <italic>Lachnospiraceae_XPB_1014_group</italic> to enhance the production of butyrate (<xref ref-type="bibr" rid="B6">Bai et al., 2021</xref>), while the BSG contained large amounts of &#x03B2;-glucans and arabinoxylan.</p>
<p>It has been reported that the high-meat protein diet could increase the relative abundances of <italic>Desulfovibrio</italic> in both cecum and colon to cause the metabolic defects in liver (<xref ref-type="bibr" rid="B78">Shi et al., 2020</xref>), while a high relative abundance of <italic>Desulfovibrio</italic> was revealed in the pig model of NASH (<xref ref-type="bibr" rid="B69">Panasevich et al., 2018</xref>). Furthermore, the richness of <italic>Desulfovibrio</italic>_<italic>Otu047</italic> was increased with the increased activities of the NAFLD-HCC process (<xref ref-type="bibr" rid="B92">Zhang et al., 2021a</xref>). The Shiga toxin-producing <italic>Escherichia&#x2013;Shigella</italic> are pathogenic bacteria that cause the bloody diarrheal diseases of bacillary dysentery and hemorrhagic colitis (<xref ref-type="bibr" rid="B51">Lee et al., 2020</xref>). It was reported that the harmful bacteria such as <italic>Escherichia&#x2013;Shigella</italic> and <italic>Helicobacter</italic> were prevalent in the intestine of rats with alcohol-related liver injury (<xref ref-type="bibr" rid="B89">Yu et al., 2020</xref>), while the <italic>Prevotellaceae_Ga6A1_group</italic> was enriched in the gastric mucosal microbiota of patients with gastric intraepithelial neoplasia (<xref ref-type="bibr" rid="B93">Zhang et al., 2021b</xref>). In our study, no significant differences were observed in the relative abundances of these three groups of bacteria (i.e., <italic>Desulfovibrio, Escherichia&#x2013;Shigella</italic>, and <italic>Prevotellaceae_Ga6A1_group</italic>) among the four groups of Landes geese during the rearing stage, whereas the relative abundances of these taxa were significantly increased during the overfeeding stage as the fatty liver was formed (<xref ref-type="fig" rid="F3">Figure 3B</xref>). The addition of BSG caused the decrease in the relative abundances of these three groups of bacteria, suggesting that the probiotic properties of fermented BSG were involved in the protective mechanism in Landes geese preventing the progression of steatosis to steatohepatitis in their livers.</p>
</sec>
<sec id="S4.SS7">
<title>Regulatory functions of brewers&#x2019; spent grain in the fatty liver development in Landes geese based on the transcriptomics analysis</title>
<p>It has been reported that the fatty livers of geese composed of adipose tissue are achieved with significant weight gain after overfeeding (<xref ref-type="bibr" rid="B83">Wang et al., 2019</xref>). This phenomenon is generally considered being related to the long-distance migration of migratory birds. Domestic geese are descendants of migratory birds, suggesting their high tolerance for energy intake (<xref ref-type="bibr" rid="B59">Lu et al., 2015</xref>). Our study indicated that the addition of BSG in feed caused an increasing trend in liver weight, suggesting the intrinsic variations in transcriptional regulation during the liver development. Furthermore, our results of KEGG enrichment analysis showed that with the addition of BSG only in the rearing stage (i.e., group F), the DEGs were most significantly enriched in three metabolic pathways, including the NF-kappa B signaling pathway, IL-17 signaling pathway, and B cell receptor signaling pathway (<xref ref-type="fig" rid="F6">Figure 6</xref>). Previous studies showed that the transcription factor NF-&#x03BA;B played a key role in the host response to microbial infection by coordinating innate and adaptive immune functions (<xref ref-type="bibr" rid="B71">Peng et al., 2020</xref>), while the IL-17 was a host defense cytokine located in barrier mucosal tissues, playing an important role in immunity against fungal and other extracellular pathogens (<xref ref-type="bibr" rid="B18">Conti et al., 2009</xref>). These results suggested that the feeding of the Landes geese with BSG at the rearing stage generated a positive regulatory effect on activating the immune system in the geese. When the BSG was added only in the overfeeding stage (i.e., group B), the DEGs were most significantly enriched in the PI3K-Akt signaling pathway, MAPK signaling pathway, and phospholipase D signaling pathway, while the Landes geese were fed with BSG in both the rearing and overfeeding stages (i.e., group W), the DEGs were most significantly enriched in PI3K-Akt signaling pathway, sphingolipid signaling pathway, and cholinergic synapse (<xref ref-type="fig" rid="F6">Figure 6</xref>). Previous studies showed that the formation of fatty liver in geese by overfeeding was accompanied by the activation of the PI3K-Akt-MTOR pathway, suggesting that the PI3K-Akt-MTOR pathway played a key role in regulating the lipid metabolism (<xref ref-type="bibr" rid="B36">Han et al., 2015</xref>). Furthermore, it was reported that with the essential feature of an aliphatic amino alcohol sphingolipid skeleton, the sphingolipids were involved in the development of NAFLD (<xref ref-type="bibr" rid="B30">Gorden et al., 2015</xref>). Moreover, the sphingolipids were reported to play the critical roles in the physiological functions of <italic>Bacteroidetes</italic>, which were capable of performing activities related to symbiotic functions in the gut (<xref ref-type="bibr" rid="B4">An et al., 2011</xref>). In our study, the results showed that the sphingolipid signaling pathway was significantly enriched in the livers of Landes geese of group W, suggesting that the addition of BSG aggravated the hepatic steatosis, which was probably caused by the intestinal bacteria. Notably, our results revealed a relatively high abundance of bacteria in group W of Landes geese in comparison with group C. These results were consistent with those derived from the liver transcriptomics analysis in our study.</p>
<p>Our results of differential gene expression analysis showed that the expressions of several genes, e.g., <italic>BCL-2</italic>, <italic>ELOVL7</italic>, <italic>FGF10</italic>, and <italic>HGF</italic>, were up-regulated in liver tissues when BSG was added to feed during both the rearing and overfeeding stages (i.e., group W). It was reported that the activation of the BCL-2 protein family induced the hepatocyte apoptosis, which played important roles in the formation of NAFLD (<xref ref-type="bibr" rid="B46">Kanda et al., 2018</xref>). Compared with the NAFLD patients, the NASH patients showed lowered level of the anti-apoptotic BCL-2 protein, with a strong negative correlation between BCL-2 level and lobular inflammation (<xref ref-type="bibr" rid="B25">El Bassat et al., 2014</xref>), which could be explained by the increased BCL-2 concentration in hepatic steatosis, while the hepatic steatosis was a detoxification process because the free fatty acids (FFA) were directly cytotoxic to hepatocytes. The anti-apoptotic processes enhanced the triglyceride formation and inhibited the FFA toxicity, while the high levels of anti-apoptotic BCL-2 revealed in NAFLD suggested its protective role in disease progression (<xref ref-type="bibr" rid="B80">Tarantino et al., 2011</xref>). These results indicated that in our study, the significantly up-regulated expression of <italic>BCL-2</italic> in the livers of Landes geese in group W compared to group C suggested that the BSG supplementation reduced the liver damage (i.e., liver inflammation pressure) and enhanced deposition of lipids in the livers. The FA elongase, also known as a long-chain fatty acid-like fatty acid elongase (ELOVL), cooperates with desaturases to synthesize either monounsaturated fatty acids or PUFAs. Studies have shown that the FA elongase 7 (ELOVL7) played an important role in the synthesis of long-chain saturated fatty acids (<xref ref-type="bibr" rid="B31">Green et al., 2010</xref>; <xref ref-type="bibr" rid="B66">Naganuma et al., 2011</xref>), while the overexpression of <italic>ELOVL7</italic> significantly decreased the concentrations of palmitoleic acid (C16:1) and increased the concentrations of vaccine (C18:1) (<xref ref-type="bibr" rid="B77">Shi et al., 2019</xref>). These results were consistent with the findings revealed in our study (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<p>The fibroblast growth factors (FGFs) are a polypeptide family, with the FGF10 as an important intercellular signaling molecule in adipogenesis and highly expressed in adipose tissue (<xref ref-type="bibr" rid="B42">Itoh and Ornitz, 2011</xref>). Furthermore, the FGF10 stimulated cell proliferation of white adipose tissue and played an essential role in adipogenesis (<xref ref-type="bibr" rid="B60">Matsubara et al., 2013</xref>). It was reported that the overexpression of <italic>FGF10</italic> mainly activated the PI3K-Akt pathway to play a protective role in mouse liver (<xref ref-type="bibr" rid="B54">Li S. T. et al., 2021</xref>). These results suggested that the hepatocyte growth factor (HGF) played an important role in liver adipose tissue. In our study, the significantly up-regulated expressions of the <italic>FGF10</italic> and <italic>HGF</italic> genes in the group W of Landes geese indicated the enhanced synthesis of active glycogen and protein and lipid differentiation in the livers of these geese. Our results were consistent with those previously reported, strongly indicating that FGF10 was involved in adipose expression and played an important role in the formation of fatty liver in geese.</p>
<p>The heat shock proteins (HSPs) constitute a large family of highly homologous chaperone proteins that are induced in response to elevated temperature, and more generally in response to environmental, physical, and chemical stresses (<xref ref-type="bibr" rid="B11">Bonam et al., 2019</xref>). Previous studies showed that the heat stress could increase the HSP70 levels in goats, while the cell metabolism was accelerated and the respiratory function was enhanced (<xref ref-type="bibr" rid="B21">Dangi et al., 2015</xref>). Furthermore, it was reported that the probiotics reduced the <italic>HSP60</italic> gene and protein expression levels in mouse model of alcoholic liver (<xref ref-type="bibr" rid="B9">Barone et al., 2016</xref>). Our results of the KEGG enrichment analysis showed that under the treatment of BSG, the down-regulated genes were predominantly enriched in the protein processing in endoplasmic reticulum and endocytosis (<xref ref-type="table" rid="T8">Table 8</xref>), in particular, the expressions of <italic>HSPA8</italic>, <italic>HSPA2</italic>, and <italic>HSPH1</italic> were significantly down-regulated in the group W of Landes geese. These results indicated that overfeeding could lead to chronic stress in the Landes geese. However, the heat stress genes were down-regulated in the group W of Landes geese, probably due to the alleviation of oxidative stress caused by the microorganisms in the fermented BSG.</p>
<p>In recent years, due to the rapid increases in global feed prices, there has been a rapidly growing interest in the use of industrial by-products as alternative feeds. However, the by-products of grains are generally not favored due to their rich anti-nutritional factors and the difficulties to preserve under regular practical conditions (<xref ref-type="bibr" rid="B43">Jackowski et al., 2020</xref>). With the rapid development of the microbial fermentation technology, the solutions to the problems of waste of resources and the production performance of geese have been gradually identified and established. In our study, the results showed that the addition of BSG in feed of Landes geese generated the optimal effect on liver fat deposition in the group W of Landes geese during the entire experiment, probably due to the production of endogenous ethanol by the microorganisms in BSG and the secondary sphingolipid metabolism involved in the adaptation of the gut to overfeeding and maintaining the structural integrity of the gut, as reported previously (<xref ref-type="bibr" rid="B33">Gu et al., 2020</xref>). Consistently, the cecal microbiota was closely involved in the sphingolipid metabolism (<xref ref-type="bibr" rid="B55">Li et al., 2019</xref>). These results suggested that the cecal microbiota contributed significantly to the regulation of fat deposition, benefiting the development of technical strategies for the significant advancement of the foie gras industry.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>In conclusion, our study revealed the beneficial effects of BSG as the feed additives on the growth performance during the rearing stage (days 5&#x2013;60) of Landes geese, with both the BW and ADG of the Landes geese significantly increased, whereas the optimal effect of BSG on liver fat deposition was achieved during the overfeeding stage (days 61&#x2013;90). The intestinal microbiota compositions of Landes geese on day 90 were altered by the addition of BSG, mainly increasing the relative abundance of <italic>Bacteroides</italic> and inhibiting Gram-negative pathogenic bacteria such as members of <italic>prevotellaceae_Ga6A1_group.</italic> Results of the transcriptomics analysis showed that addition of BSG to Landes geese diets altered the expression of genes involved in PI3K-Akt signaling pathway and sphingolipid metabolism in the liver. These beneficial effects were probably caused by either the endogenous ethanol-producing microorganisms in BSG or the fermentation products of BSG mitigating the development of NAFLD. Further studies are necessary to explicitly explore the molecular mechanism underlying the formation of NAFLD with the involvement of microorganisms in BSG. Our study provided novel experimental evidence based on the cecal microbiota to support the investigations and applications of BSG in the regulation of the fat deposition by modulating the gut microbiota in the Landes geese.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="FS1">Supplementary material</xref>.</p>
</sec>
<sec id="S7">
<title>Ethics statement</title>
<p>This animal study was reviewed and approved by The Committee on the Ethics of Animal Experiments of the College of Veterinary Medicine, Huazhong Agricultural University (NO. HZAUGE&#x2013;2020&#x2013;0001).</p>
</sec>
<sec id="S8">
<title>Author contributions</title>
<p>PX, DS, ZZ, ZL, and YX: conceptualization. PX, YH, PC, XW, SL, JW, FM, and YX: methodology. PX and PC: validation. PX: formal analysis, investigation, and data curation. YX: resources. PX and YH: software and writing&#x2014;original draft preparation. YX and SC: writing&#x2014;review and editing. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded by the Innovative Job Funds of Agricultural Science and Technology of Hubei Province, China (Grant number: 2021-620-000-001-030).</p>
</sec>
<ack><p>The authors thank Qiuyuan Li and Hongxia Ding at the Huazhong Agricultural University for their laboratory assistance.</p>
</ack>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2022.970563/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2022.970563/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="FS1" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>The rarefaction curves of the cecal microbial communities in the control (group C) and three experimental groups (B, F, and W) of Landes geese in 60 and 90 days. Group B, added with 4% BSG in the overfeeding stage (days 61&#x2013;90); Group F, added with 4% BSG in the rearing stage (days 5&#x2013;60); Group W, added with 4% BSG in the all stage (days 5&#x2013;90).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS1" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 1</label>
<caption><p>Ingredients and nutrient compositions of diets (%) in the control (group C) and three experimental groups (B, F, and W) of Landes geese during the rearing stage (days 5&#x2013;15).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS2" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 2</label>
<caption><p>Ingredients and nutrient compositions of diets (%) in the control (group C) and three experimental groups (B, F, and W) of Landes geese during the rearing stage (days 16&#x2013;60).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS3" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 3</label>
<caption><p>Ingredients and nutrient compositions of diets (%) in the control (group C) and three experimental groups (B, F, and W) of Landes geese during the overfeeding stage (days 61&#x2013;90).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS4" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 4</label>
<caption><p>Primers and their sequences used in the quantitative real-time PCR (qRT-PCR) analysis in this study. &#x201C;F&#x201D; and &#x201C;R&#x201D; at the end of each primer name indicate the forward and reverse primers, respectively.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS5" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 5</label>
<caption><p>Summary of 16S rRNA sequencing data based on the cecal contents in the control (group C) and three experimental groups (B, F, and W) of Landes geese in 60 and 90 days.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS6" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 6</label>
<caption><p>Summary of sequencing data based on the liver transcriptomics analysis the control (group C) and three experimental groups (B, F, and W) of Landes geese in 60 and 90 days.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS7" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 7</label>
<caption><p>Differentially expressed genes between the control and experimental groups.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Data_Sheet_1.ZIP" id="TS8" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 8</label>
<caption><p>Gene Ontology terms annotated based on the DEGs between control and experimental groups.</p></caption>
</supplementary-material>
</sec>
<glossary>
<title>Abbreviations</title>
<def-list id="DL1">
<def-item><term>BSG</term><def><p>brewers&#x2019; spent grain</p></def></def-item>
<def-item><term>ALT</term><def><p>alanine aminotransferase</p></def></def-item>
<def-item><term>AST</term><def><p>aspartate aminotransferase</p></def></def-item>
<def-item><term>AKP</term><def><p>alkaline phosphatase</p></def></def-item>
<def-item><term>ACP</term><def><p>acid phosphatase</p></def></def-item>
<def-item><term>GLU</term><def><p>glucose</p></def></def-item>
<def-item><term>TG</term><def><p>triglycerides</p></def></def-item>
<def-item><term>CHO</term><def><p>cholesterol</p></def></def-item>
<def-item><term>HDL-C</term><def><p>high density liptein cholesterol</p></def></def-item>
<def-item><term>LDL-C</term><def><p>low density liptein cholesterol</p></def></def-item>
<def-item><term>VLDL</term><def><p>very low-density lipoprotein</p></def></def-item>
<def-item><term>VH</term><def><p>villus height</p></def></def-item>
<def-item><term>CD</term><def><p>crypt depth</p></def></def-item>
<def-item><term>VCR</term><def><p>villus height/crypt depth</p></def></def-item>
<def-item><term>BW</term><def><p>body weight</p></def></def-item>
<def-item><term>LW</term><def><p>liver weight</p></def></def-item>
<def-item><term>ADG</term><def><p>average daily gain</p></def></def-item>
<def-item><term>TPM</term><def><p>transcripts per million</p></def></def-item>
<def-item><term>DEG</term><def><p>differentially expressed gene</p></def></def-item>
<def-item><term>GO</term><def><p>Gene Ontology</p></def></def-item>
<def-item><term>KEGG</term><def><p>Kyoto Encyclopedia of Genes and Genomes</p></def></def-item>
<def-item><term>SCFA</term><def><p>short-chain fatty acids</p></def></def-item>
<def-item><term>NAFLD</term><def><p>non-alcoholic fatty liver disease</p></def></def-item>
<def-item><term>FGFs</term><def><p>fibroblast growth factors</p></def></def-item>
<def-item><term>HSP</term><def><p>heat shock proteins</p></def></def-item>
<def-item><term>ELOVL7</term><def><p>fatty acid elongase 7.</p></def></def-item>
</def-list>
</glossary>
<fn-group>
<fn id="footnote1">
<label>1</label>
<p><ext-link ext-link-type="uri" xlink:href="http://www.drive5.com/uparse/">http://www.drive5.com/uparse/</ext-link></p></fn>
<fn id="footnote2">
<label>2</label>
<p><ext-link ext-link-type="uri" xlink:href="http://rdp.cme.msu.edu/">http://rdp.cme.msu.edu/</ext-link></p></fn>
<fn id="footnote3">
<label>3</label>
<p><ext-link ext-link-type="uri" xlink:href="http://bioconductor.org/packages/stats/bioc/DESeq2/">http://bioconductor.org/packages/stats/bioc/DESeq2/</ext-link></p></fn>
<fn id="footnote4">
<label>4</label>
<p><ext-link ext-link-type="uri" xlink:href="http://deweylab.biostat.wisc.edu/rsem/">http://deweylab.biostat.wisc.edu/rsem/</ext-link></p></fn>
<fn id="footnote5">
<label>5</label>
<p><ext-link ext-link-type="uri" xlink:href="http://geneontology.org/">http://geneontology.org/</ext-link></p></fn>
<fn id="footnote6">
<label>6</label>
<p><ext-link ext-link-type="uri" xlink:href="https://www.genome.jp/kegg/">https://www.genome.jp/kegg/</ext-link></p></fn>
<fn id="footnote7">
<label>7</label>
<p><ext-link ext-link-type="uri" xlink:href="https://github.com/tanghaibao/goatools">https://github.com/tanghaibao/goatools</ext-link></p></fn>
<fn id="footnote8">
<label>8</label>
<p><ext-link ext-link-type="uri" xlink:href="http://kobas.cbi.pku.edu.cn">http://kobas.cbi.pku.edu.cn</ext-link></p></fn>
</fn-group>
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