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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2021.706463</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Evaluation of the Dietary Black Soldier Fly Larvae Meal (<italic>Hermetia illucens</italic>) on Growth Performance, Intestinal Health, and Disease Resistance to <italic>Vibrio parahaemolyticus</italic> of the Pacific White Shrimp (<italic>Litopenaeus vannamei</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Yongkang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1417523/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chi</surname> <given-names>Shuyan</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/791472/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Shuang</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/913790/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dong</surname> <given-names>Xiaohui</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/1035564/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Qihui</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/952840/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Hongyu</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/915429/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tan</surname> <given-names>Beiping</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="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/610838/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xie</surname> <given-names>Shiwei</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>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/615592/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Laboratory of Aquatic Nutrition and Feed, College of Fisheries, Guangdong Ocean University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Aquatic Animals Precision Nutrition and High-Efficiency Feed Engineering Research Centre of Guangdong</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Key Laboratory of Aquatic, Livestock and Poultry Feed Science and Technology in South China, Ministry of Agriculture</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Kang-le Lu, Jimei University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ana Teresa Gon&#x000E7;alves, GreenCoLAB, Portugal; Wuying Chu, Changsha University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Shiwei Xie <email>xswzsdx&#x00040;163.com</email></corresp>
<corresp id="c002">Beiping Tan <email>bptan&#x00040;126.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Marine Fisheries, Aquaculture and Living Resources, a section of the journal Frontiers in Marine Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>706463</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>05</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Chen, Chi, Zhang, Dong, Yang, Liu, Tan and Xie.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Chen, Chi, Zhang, Dong, Yang, Liu, Tan and Xie</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 present study evaluated the effects of the dietary black soldier fly larvae meal (BSF) on growth performance, intestinal health, and susceptibility to <italic>Vibrio parahaemolyticus</italic> in the Pacific white shrimp <italic>Litopenaeus vannamei</italic>. The basal diet was formulated to contain 25% fish meal (FM), and then the FM was replaced with BSF for 10, 20, and 30% of the FM protein in the experimental diets, which are referred to as FM, BSF10, BSF20, and BSF30, respectively. Four hundred and eighty healthy and uniform-sized shrimp (&#x0007E;0.88 g) were distributed among four groups of three replicates, each with 40 shrimp in a 300-L tank and they were fed four times daily for 7 weeks. The results showed that the growth performance did not change significantly in shrimp fed with BSF10 and BSF20 diets, but significantly decreased in those fed with BSF30 diet compared to the ones fed with FM diet. After feeding trial and sampling, a <italic>V. parahaemolyticus</italic> infection challenge trial was conducted on shrimp. The results showed that the survival rate of shrimp fed with BSF10 was significantly higher than those fed with FM. The results of the midgut histology showed that the width and height of intestinal mucosal folds decreased significantly in shrimp fed with BSF20 and BSF30, and the early signs of apoptosis in the intestinal cells were found in shrimp fed with BSF30. The mRNA levels of non-specific immune-related genes <italic>dorsal</italic> and <italic>relish</italic> were downregulated in shrimp fed with BSF20 and BSF30 diets. The mRNA levels of antimicrobial peptides&#x02013;related genes <italic>alf</italic> (anti-lipopolysaccharide factor) were upregulated in shrimp fed with BSF10 but downregulated in shrimp fed with BSF30. The mRNA level <italic>pen3</italic> (penaeidins 3) was upregulated in shrimp fed with BSF10 and BSF20 diets. The intestinal bacterial communities on operational taxonomic unit levels among groups were not significantly differentiated according to the beta diversity analysis. At the genus levels, a decrease in <italic>Vibrio, Photobacterium</italic>, and <italic>Candidatus_Bacilloplasma</italic>, as well as the increase in <italic>Bacillus</italic> and <italic>Pseudoalteromonas</italic> abundance, indicated the improvement of intestinal microbiota in shrimp fed with dietary BSF. Therefore, the use of BSF in shrimp diet should be controlled at a dosage of 20% of the FM, which can improve the intestinal microbiota without causing any negative effects.</p></abstract>
<kwd-group>
<kwd><italic>Litopenaeus vannamei</italic></kwd>
<kwd>black soldier fly larvae meal</kwd>
<kwd>intestinal histology</kwd>
<kwd>non-specific immune</kwd>
<kwd>intestinal microbiota</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="68"/>
<page-count count="14"/>
<word-count count="9717"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Pacific white shrimp <italic>Litopenaeus vannamei</italic> has become an important species in global aquaculture due to the advantages of its rapid growth and strong stress resistance (FAO, <xref ref-type="bibr" rid="B17">2020</xref>). However, some gastrointestinal diseases, such as white feces syndrome (WFS) (Hou et al., <xref ref-type="bibr" rid="B21">2018</xref>) and early mortality syndrome (EMS) (Zorriehzahra and Banaederakhshan, <xref ref-type="bibr" rid="B68">2015</xref>) have caused significant losses to shrimp farming in recent years. As a vital organ for nutrient uptake and immune defense, the intestinal structure and biochemical barrier are closely related to the health status of the shrimp (Suo et al., <xref ref-type="bibr" rid="B49">2017</xref>).</p>
<p>The intestinal structure and the biochemical barrier refer to the integrity of the histological structure of the intestine. The midgut of shrimp consists of the outer epidermis, muscular layers, protruding mucosal folds, and the inner epidermis, and an intact intestinal structure forms the basis for the functioning of the intestine (Xie et al., <xref ref-type="bibr" rid="B60">2020</xref>). In addition, the immune function of the gut should be considered, as pathogens in the external environment can pass through the intestine (Pilotto et al., <xref ref-type="bibr" rid="B38">2020</xref>). The antimicrobial peptides such as <italic>alf</italic> (anti-lipopolysaccharide factor), <italic>cru</italic> (crustins), and <italic>pen3</italic> (penaeidins 3) are regulated by secreted cytokines and immune signaling pathways, such as the Toll and IMD (immune deficiency). When Toll and IMD pathways are activated in early response to pathogens, the expression of downstream factors <italic>dorsal</italic> and <italic>relish</italic> can regulate pathways activities (Qiu et al., <xref ref-type="bibr" rid="B40">2014</xref>). Intestinal microbiota are an important part of the intestinal biochemical barrier (Qi et al., <xref ref-type="bibr" rid="B39">2017</xref>). The intestinal microbiota have been extensively studied and shown to benefit aquatic animals with its functions in immune response, nutrient uptake, and homeostasis maintenance (Li et al., <xref ref-type="bibr" rid="B28">2018</xref>), which is mainly influenced by environmental and dietary factors (Egerton et al., <xref ref-type="bibr" rid="B16">2018</xref>). Although close contact with the aquatic environment may influence the early gut colonization (Roeselers et al., <xref ref-type="bibr" rid="B45">2011</xref>), feed causes a continuous effect on the intestinal microbiota composition over a longer culture period (Ring&#x000F8; et al., <xref ref-type="bibr" rid="B44">2016</xref>).</p>
<p>In shrimp diets, fish meal (FM) is the most commonly used protein source, usually accounting for 25&#x02013;35% of the formulation (Xie et al., <xref ref-type="bibr" rid="B61">2016</xref>). The depletion and shortage of fishery resources and the high cost of FM have encouraged researchers to look for alternatives (Cai et al., <xref ref-type="bibr" rid="B8">2020</xref>). In the last decade, experimental studies on feeding of insect meal&#x02013;based diets have been carried out in <italic>L. vannamei</italic>, which has been conducted on mealworm (<italic>Tenebrio molitor</italic>), silkworm pupae (<italic>Bombyx mori</italic> L.), as well as fly maggots (Cao et al., <xref ref-type="bibr" rid="B9">2012</xref>; Choi et al., <xref ref-type="bibr" rid="B11">2018</xref>; Rahimnejad et al., <xref ref-type="bibr" rid="B41">2019</xref>). Besides, the black soldier fly is a saprophytic insect (<italic>Hermetia illucens</italic>) commonly used for the sustainable recycling of animal waste and other organic wastes. Its larvae are rich in proteins and lipids, and also it is considered as a potential protein source for aquatic animals (Barragan-Fonseca et al., <xref ref-type="bibr" rid="B4">2017</xref>). Several studies have been conducted to evaluate the effectiveness of BSF as an FM replacement in the diets of <italic>L. vannamei</italic>. In general, most growth responses could be obtained if the amount of BSF replacement FM is limited to 25% of the ratio without changing the nutrition levels of the diet (Cummins et al., <xref ref-type="bibr" rid="B12">2017</xref>). Another study showed that BSF substitution of &#x0003C;30% FM in diets did not negatively affect the growth performance of <italic>L. vannamei</italic> (Hu et al., <xref ref-type="bibr" rid="B23">2019</xref>). Also, dietary BSF has been shown to affect the intestinal health status; however, it causes different effects on different animals. In previous studies, a total replacement of the FM with BSF did not impair the intestinal health of Atlantic salmon (<italic>Salmo salar</italic> L.) (Li et al., <xref ref-type="bibr" rid="B32">2020</xref>). However, replacement of 75% FM with defatted BSF led to significant pathological changes in the intestinal wall of Jian carp (<italic>Cyprinus carpio</italic> var. Jian) (Li et al., <xref ref-type="bibr" rid="B30">2017</xref>). It is still unclear how dietary BSF affects the intestinal health of <italic>L. vannamei</italic> and our experiments were conducted to study the effect of BSF on the growth performance, intestinal structure, and immunity as well as the intestinal microbiota communities of <italic>L. vannamei</italic>.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Ethics Statement</title>
<p>This study was carried out following the recommendations of Care and Use of Laboratory Animals in China, Animal Ethical and Welfare Committee of China Experimental Animal Society. The protocol was approved by the Animal Ethical and Welfare Committee of Guangdong Ocean University, Guangdong, China.</p>
</sec>
<sec>
<title>Diet Preparation</title>
<p>The black soldier fly larvae meal used in this experiment was provided by (Guangzhou Fishtech Biotechnology Co., Ltd, Guangdong, China) and contained 35.17% crude protein and 32.60% crude lipid. The basal diet was formulated to contain 25% FM and then the FM was replaced with BSF for 10, 20, and 30% of the FM protein, which we referred to as FM, BSF10, BSF20, and BSF30, respectively. With the increase of BSF addition, the level of fish oil, soybean oil, and soybean lecithin was gradually reduced to balance the crude lipid levels among the four diets. Several essential amino acids were supplemented to the BSF diets to obtain similar amino acid profiles as the FM diet. Diets were processed as follows: all the ingredients were smashed and sifted out with an 80-mesh sieve. Then, all the ingredients were weighed, combined, and then mixed to homogeneity (M-256, South China University of Technology, Guangdong, China). It is important to note that BSF and soybean meal were mixed (1:1) and then crushed and sieved before being mixed with other ingredients. The 1.0- and 1.5-mm diameter pellets were extruded using a pelletizer (Institute of Chemical Engineering, South China University of Technology, Guangdong, China) and then ripened in an electric oven at 60&#x000B0;C for 30 min, and stored frozen (&#x02212;20&#x000B0;C) before use. Formulation and proximate composition of the diets are given in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Formulation and proximate composition of experimental diets (% dry matter).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Ingredients</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Diets</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>FM</bold></th>
<th valign="top" align="center"><bold>BSF10</bold></th>
<th valign="top" align="center"><bold>BSF20</bold></th>
<th valign="top" align="center"><bold>BSF30</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Brown fish meal<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center">22.5</td>
<td valign="top" align="center">20.0</td>
<td valign="top" align="center">17.5</td>
</tr>
<tr>
<td valign="top" align="left">Soybean meal</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">25</td>
</tr>
<tr>
<td valign="top" align="left">Peanut meal</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
</tr>
<tr>
<td valign="top" align="left">Wheat flour</td>
<td valign="top" align="center">24.05</td>
<td valign="top" align="center">22.93</td>
<td valign="top" align="center">21.82</td>
<td valign="top" align="center">20.70</td>
</tr>
<tr>
<td valign="top" align="left">Beer yeast</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Shrimp shell meal</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Black soldier fly larvae meal<xref ref-type="table-fn" rid="TN2"><sup>3b</sup></xref></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4.75</td>
<td valign="top" align="center">9.5</td>
<td valign="top" align="center">14.25</td>
</tr>
<tr>
<td valign="top" align="left">Fish oil</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">Soybean oil</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">Soybean lecithin</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">Choline chloride</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Vitamin and Mineral Premix<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Calcium monophosphate</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">1.5</td>
</tr>
<tr>
<td valign="top" align="left">Vitamin C</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.1</td>
</tr>
<tr>
<td valign="top" align="left">Methionine<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Lysine<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">Threonine<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Ethoxyquin</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Proximate composition</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Dry matter (%)</td>
<td valign="top" align="center">92.01</td>
<td valign="top" align="center">92.47</td>
<td valign="top" align="center">92.71</td>
<td valign="top" align="center">92.62</td>
</tr>
<tr>
<td valign="top" align="left">Crude protein (% DM)</td>
<td valign="top" align="center">41.42</td>
<td valign="top" align="center">41.95</td>
<td valign="top" align="center">42.51</td>
<td valign="top" align="center">42.31</td>
</tr>
<tr>
<td valign="top" align="left">Crude lipid (% DM)</td>
<td valign="top" align="center">7.79</td>
<td valign="top" align="center">7.11</td>
<td valign="top" align="center">7.04</td>
<td valign="top" align="center">7.29</td>
</tr>
<tr>
<td valign="top" align="left">Ash (% DM)</td>
<td valign="top" align="center">10.73</td>
<td valign="top" align="center">11.01</td>
<td valign="top" align="center">11.10</td>
<td valign="top" align="center">11.67</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>Brown fishmeal: 68.21% crude protein, 9.00% crude lipid, bought from Zhanjiang HaiBao Feed Co. Ltd., Zhanjiang, Guangdong, China</italic>.</p></fn>
<fn id="TN2"><label>b</label><p><italic>Black soldier fly larvae meal: 35.17% crude protein, 32.60% crude lipid, provided by Guangzhou Fishtech Biotechnology Co., Ltd., Guangzhou, China</italic>.</p></fn>
<fn id="TN3"><label>c</label><p><italic>Vitamin and Mineral Premix (per kg of diet): thiamine, 5 mg; riboflavin, 10 mg; vitamin A, 5,000 IU; vitamin E, 40 mg; vitamin D3, 1,000 IU; menadione, 10 mg; pyridoxine, 10 mg; biotin, 0.1 mg; cyanocobalamin, 0.02 mg; calcium pantothenate, 20 mg; folic acid, 1 mg; niacin, 40 mg; vitamin C, 150 mg; iron, 100 mg; iodine, 0.8 mg; cupper, 3 mg; zinc, 50 mg; manganese, 12 mg; selenium, 0.3 mg; cobalt, 0.2 mg</italic>.</p></fn>
<fn id="TN4"><label>d</label><p><italic>All the crystalline amino acids were bought from Shanghai Sanjie Biotechnology Co., Ltd, China</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Shrimp and Experimental Conditions</title>
<p>Juvenile <italic>L. vannamei</italic> were obtained from the nursery base of Guangdong Yuehai Seed Co., Ltd (Zhanjiang, China). The shrimp were fed with commercial feed (Guangdong HAID Group, crude protein 48.0%, crude fat 8.0%) and acclimatized to the experimental conditions for a week. After starvation treatment for 24 h, healthy and uniform-sized juvenile <italic>L. vannamei</italic> (&#x0007E;0.88 g) were distributed among four groups with triplicate fiberglass tanks (300 L) per group and 40 shrimp in each tank. Shrimp were fed to apparent satiation four times daily at 7:20, 11:20, 16:00, and 21:00 h for 7 weeks. In the first 4 weeks, shrimp were fed 1.0 mm diameter feed, while they were fed 1.5 mm diameter feed in the last 3 weeks. During the experiment, 60% of the water was exchanged each day by seawater disinfected with chlorine dioxide to maintain water quality. Water temperature and salinity were measured every day in a range of 27&#x02013;31&#x000B0;C and 25&#x02013;30%, respectively.</p>
</sec>
<sec>
<title>Sample Collection and Analysis</title>
<p>Diets of each group were collected for moisture, crude protein, crude lipid, ash, amino acid analysis, and fatty acid profiles. Crude protein was determined by the Dumas Nitrogen method with a Primacs100 analyzer (Skalar, Dutch); crude lipid was determined by the ether extraction method with an XT15 extractor (Ankom, United States); moisture was determined by oven drying at 105&#x000B0;C. Amino acid composition was determined according to the standard of GB/T 18246-2019 in the national standard of P. R. China (<xref ref-type="table" rid="T2">Table 2</xref>). Samples were hydrolyzed in 6 N HCl at 110&#x000B0;C for 22 h, then separated by the ion exchange column and reaction with ninhydrin solution, and the concentrations of amino acids were obtained through spectrophotometry. Fatty acids composition of diets and ingredients were determined by GB/T 5009.168-2016 in the national standard of the P. R. China with the assistance of Willtest Technology Co. Ltd., Sichuan, China (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Amino acid compositions of experimental diets (% dry matter).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Amino acids</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Diets</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>FM</bold></th>
<th valign="top" align="center"><bold>BSF10</bold></th>
<th valign="top" align="center"><bold>BSF20</bold></th>
<th valign="top" align="center"><bold>BSF30</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aspartic acid</td>
<td valign="top" align="center">4.12</td>
<td valign="top" align="center">4.23</td>
<td valign="top" align="center">4.08</td>
<td valign="top" align="center">3.89</td>
</tr>
<tr>
<td valign="top" align="left">Threonine</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">1.55</td>
</tr>
<tr>
<td valign="top" align="left">Serine</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">1.99</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">1.79</td>
</tr>
<tr>
<td valign="top" align="left">Glutamic acid</td>
<td valign="top" align="center">7.49</td>
<td valign="top" align="center">7.72</td>
<td valign="top" align="center">7.41</td>
<td valign="top" align="center">7.00</td>
</tr>
<tr>
<td valign="top" align="left">Glycine</td>
<td valign="top" align="center">2.09</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">2.06</td>
<td valign="top" align="center">2.02</td>
</tr>
<tr>
<td valign="top" align="left">Alanine</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">2.22</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">2.12</td>
</tr>
<tr>
<td valign="top" align="left">Cystine</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">Valine</td>
<td valign="top" align="center">2.03</td>
<td valign="top" align="center">2.14</td>
<td valign="top" align="center">1.98</td>
<td valign="top" align="center">1.98</td>
</tr>
<tr>
<td valign="top" align="left">Methionine</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.65</td>
</tr>
<tr>
<td valign="top" align="left">Isoleucine</td>
<td valign="top" align="center">1.72</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">1.62</td>
</tr>
<tr>
<td valign="top" align="left">Leucine</td>
<td valign="top" align="center">3.12</td>
<td valign="top" align="center">3.22</td>
<td valign="top" align="center">3.06</td>
<td valign="top" align="center">2.95</td>
</tr>
<tr>
<td valign="top" align="left">Tyrosine</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">1.24</td>
</tr>
<tr>
<td valign="top" align="left">Phenylalanine</td>
<td valign="top" align="center">1.93</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">1.87</td>
<td valign="top" align="center">1.82</td>
</tr>
<tr>
<td valign="top" align="left">Lysine</td>
<td valign="top" align="center">2.63</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">2.60</td>
</tr>
<tr>
<td valign="top" align="left">Histidine</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">1.06</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">1.04</td>
</tr>
<tr>
<td valign="top" align="left">Arginine</td>
<td valign="top" align="center">2.81</td>
<td valign="top" align="center">2.87</td>
<td valign="top" align="center">2.92</td>
<td valign="top" align="center">2.69</td>
</tr>
<tr>
<td valign="top" align="left">Proline</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">2.05</td>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">1.98</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">38.99</td>
<td valign="top" align="center">40.22</td>
<td valign="top" align="center">38.96</td>
<td valign="top" align="center">37.39</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Fatty acid compositions of ingredients and diets (% of total fatty acids).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Fatty acids</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Ingredients</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Diets</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Fishmeal</bold></th>
<th valign="top" align="center"><bold>Black soldier fly</bold><break/><bold>larvae meal</bold></th>
<th valign="top" align="center"><bold>FM</bold></th>
<th valign="top" align="center"><bold>BSF10</bold></th>
<th valign="top" align="center"><bold>BSF20</bold></th>
<th valign="top" align="center"><bold>BSF30</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">12:0</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">19.50</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">3.59</td>
<td valign="top" align="center">6.99</td>
<td valign="top" align="center">10.20</td>
</tr>
<tr>
<td valign="top" align="left">14:0</td>
<td valign="top" align="center">7.52</td>
<td valign="top" align="center">4.53</td>
<td valign="top" align="center">2.19</td>
<td valign="top" align="center">2.86</td>
<td valign="top" align="center">3.57</td>
<td valign="top" align="center">3.87</td>
</tr>
<tr>
<td valign="top" align="left">15:0</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">16:0</td>
<td valign="top" align="center">22.90</td>
<td valign="top" align="center">21.00</td>
<td valign="top" align="center">16.60</td>
<td valign="top" align="center">17.90</td>
<td valign="top" align="center">19.20</td>
<td valign="top" align="center">20.60</td>
</tr>
<tr>
<td valign="top" align="left">18:0</td>
<td valign="top" align="center">5.20</td>
<td valign="top" align="center">3.95</td>
<td valign="top" align="center">5.01</td>
<td valign="top" align="center">4.77</td>
<td valign="top" align="center">4.58</td>
<td valign="top" align="center">4.43</td>
</tr>
<tr>
<td valign="top" align="left">20:0</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">&#x003A3;SFA</td>
<td valign="top" align="center">36.56</td>
<td valign="top" align="center">49.34</td>
<td valign="top" align="center">24.54</td>
<td valign="top" align="center">29.76</td>
<td valign="top" align="center">34.95</td>
<td valign="top" align="center">39.68</td>
</tr>
<tr>
<td valign="top" align="left">16:1n-7</td>
<td valign="top" align="center">8.38</td>
<td valign="top" align="center">2.54</td>
<td valign="top" align="center">2.98</td>
<td valign="top" align="center">2.98</td>
<td valign="top" align="center">3.03</td>
<td valign="top" align="center">2.98</td>
</tr>
<tr>
<td valign="top" align="left">18:1n-9</td>
<td valign="top" align="center">7.65</td>
<td valign="top" align="center">24.00</td>
<td valign="top" align="center">14.70</td>
<td valign="top" align="center">16.40</td>
<td valign="top" align="center">17.90</td>
<td valign="top" align="center">19.60</td>
</tr>
<tr>
<td valign="top" align="left">22:1n-9</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">&#x003A3;MUFA</td>
<td valign="top" align="center">16.17</td>
<td valign="top" align="center">26.55</td>
<td valign="top" align="center">17.79</td>
<td valign="top" align="center">19.48</td>
<td valign="top" align="center">20.99</td>
<td valign="top" align="center">22.62</td>
</tr>
<tr>
<td valign="top" align="left">18:2n-6</td>
<td valign="top" align="center">3.06</td>
<td valign="top" align="center">19.60</td>
<td valign="top" align="center">29.20</td>
<td valign="top" align="center">27.20</td>
<td valign="top" align="center">25.40</td>
<td valign="top" align="center">24.00</td>
</tr>
<tr>
<td valign="top" align="left">20:4n-6</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">&#x003A3;PUFA n-6</td>
<td valign="top" align="center">4.38</td>
<td valign="top" align="center">19.92</td>
<td valign="top" align="center">29.98</td>
<td valign="top" align="center">27.90</td>
<td valign="top" align="center">25.99</td>
<td valign="top" align="center">24.50</td>
</tr>
<tr>
<td valign="top" align="left">18:3n-3</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">3.94</td>
<td valign="top" align="center">3.52</td>
<td valign="top" align="center">3.02</td>
<td valign="top" align="center">2.68</td>
</tr>
<tr>
<td valign="top" align="left">20:5n-3</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">11.30</td>
<td valign="top" align="center">8.94</td>
<td valign="top" align="center">6.60</td>
<td valign="top" align="center">4.20</td>
</tr>
<tr>
<td valign="top" align="left">22:6n-3</td>
<td valign="top" align="center">19.50</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">8.95</td>
<td valign="top" align="center">7.23</td>
<td valign="top" align="center">5.52</td>
<td valign="top" align="center">3.73</td>
</tr>
<tr>
<td valign="top" align="left">&#x003A3;PUFA n-3</td>
<td valign="top" align="center">20.83</td>
<td valign="top" align="center">2.32</td>
<td valign="top" align="center">24.19</td>
<td valign="top" align="center">19.69</td>
<td valign="top" align="center">15.14</td>
<td valign="top" align="center">10.61</td>
</tr>
<tr>
<td valign="top" align="left">n-3/n-6</td>
<td valign="top" align="center">4.76</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.43</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>&#x003A3;SFA, &#x003A3;MUFA, &#x003A3;PUFA, &#x003A3;PUFA n-3, and &#x003A3;PUFA n-6 are the sum of saturated, monounsaturated, polyunsaturated, polyunsaturated n3, and polyunsaturated n6, respectively</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>After the feeding trial, the shrimp in each tank were counted and weighed. Ten shrimp from each tank were randomly selected and the intestines were removed on ice, immediately placed in liquid nitrogen, and transferred to &#x02212;80&#x000B0;C for RNA extraction and intestinal microbiota analysis.</p>
</sec>
<sec>
<title>Challenge Trial</title>
<p>Prior to the pathogen challenge trial, the shrimp fed with commercial diets (mentioned above, crude protein 48.0%, crude fat 8.0%) and raised under the same conditions were divided into four subgroups (<italic>n</italic> = 10), injected with graded concentrations of <italic>Vibrio parahaemolyticus</italic> (10<sup>6</sup>, 10<sup>7</sup>, 10<sup>8</sup>, and 10<sup>9</sup> CFU/ml for 40 &#x003BC;l) and continually monitored for 1 week to determine the 50% lethal concentration. After the feeding trial, 10 shrimp from each tank were injected with 40 &#x003BC;l <italic>V. parahaemolyticus</italic> (5 &#x000D7; 10<sup>8</sup> CFU/ml) for the challenge trial. The challenge trial continued for 12 days after injection to finalize the survival rate.</p>
</sec>
<sec>
<title>Intestinal Histology Analysis</title>
<p>In each tank, midguts from three shrimp were fixed in Bouin&#x00027;s fixative solution for 24 h and then transferred to 70% ethanol. Then gut samples were dehydrated in a graded series of ethyl alcohol and embedded in paraffin. Sections were stained with H&#x00026;E and observed under a microscope (Nikon Ni-U, Japan). Another three midguts were collected for transmission electron microscopy (TEM) examination. The method was described by Xie et al. (<xref ref-type="bibr" rid="B60">2020</xref>), briefly, samples were fixed in 2.5% glutaraldehyde solution (4&#x000B0;C) for 24 h, post-fixed in 1% osmium tetroxide (OsO<sub>4</sub>) for 1 h, dehydrated in a graded series of ethyl alcohol, and finally embedded with resin. Ultrathin sections (90 nm) were placed on copper grids and were stained with saturated uranyl acetate solution for 30 min, rinsed with distilled water, and post stained with lead citrate for 30 min. Ultrathin sections were screened and observed with a TEM (Hitachi HT7700 TEM, Japan). The statistical study of intestinal histology was carried out by measuring the height of microvilli, height and width of mucosal folds, as well as the thickness of muscle layer by ImageJ software. Each index was randomly measured six times in one section, and one-way ANOVA followed by Tukey&#x00027;s multiple-range test was used to determine significant differences among groups. The probability value of <italic>P</italic> &#x0003C; 0.05 was deemed to be statistically significant.</p>
</sec>
<sec>
<title>Quantitative Real-Time PCR Analysis</title>
<p>Total RNA of intestine was extracted from four shrimp as a pooled sample in each tank using the TransZol Up Plus RNA kit (TransGen Biotech Co., Ltd, China). Agarose gel electrophoresis and spectrophotometric analysis (Nanodrop 2000, Thermo, USA) were used to assess the RNA quality and concentration. cDNA was synthesized using a PrimeScript RT reagent kit with gDNA Eraser (Takara, Japan), according to the instructions of the manufacturer. Briefly, oligo dT primers and random 6-mers were used to reverse transcribe 1,000 ng RNA in the presence of PrimeScript RT enzyme Mix I, 5&#x000D7;PrimeScript buffer, and RNase-free H<sub>2</sub>O at 37&#x000B0;C for 15 min, following inactivation at 85&#x000B0;C for 5 s.</p>
<p>Real-time PCR for the target genes was performed using a SYBR Green Premix Pro Taq HS qPCR Kit II (Accurate Biotechnology Hunan Co., Ltd, China) and quantified on the LightCycler 480 (Roche Applied Science, Switzerland) using the following program: 0.5 &#x003BC;M of forward- and reverse-specific primers, 5 &#x003BC;l of 2&#x000D7;SYBR Green Pro Taq HS Premix II, 10 ng of cDNA template and nuclease-free water to a final volume of 10 &#x003BC;l, denaturation step at 95&#x000B0;C for the 30 s, followed by 40 amplification cycles of 5 s denaturation at 95&#x000B0;C, 30 s annealing at 60&#x000B0;C, followed by a melt-curve analysis, and cooling to 4&#x000B0;C. &#x003B2;<italic>-actin</italic> was used as the reference gene according to Xie et al. (<xref ref-type="bibr" rid="B62">2019</xref>). Primers of <italic>relish</italic> and <italic>dorsal</italic> were referred to a previous study (Qiu et al., <xref ref-type="bibr" rid="B40">2014</xref>), while other primers were designed by Primer-BLAST (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/tools/primer-blast/">https://www.ncbi.nlm.nih.gov/tools/primer-blast/</ext-link>) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Primers used for quantitative real-time PCR.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Gene name</bold></th>
<th valign="top" align="left"><bold>Sequence of primer (5<sup><bold>&#x02032;</bold></sup>-3<sup><bold>&#x02032;</bold></sup>)</bold></th>
<th valign="top" align="left"><bold>GenBank no</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>relish</italic></td>
<td valign="top" align="left">CTACATTCTGCCCTTGACTCTGG</td>
<td valign="top" align="left">EF432734</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">GGCTGGCAAGTCGTTCTCG</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>dorsal</italic></td>
<td valign="top" align="left">TGGGGAAGGAAGGATGC</td>
<td valign="top" align="left">FJ998202.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CGTAACTTGAGGGCATCTTC</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>alf</italic></td>
<td valign="top" align="left">CGCTTCACCGTCAAACCTTAC</td>
<td valign="top" align="left">GQ227486.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">GCCACCGCTTAGCATCTTGTT</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>cru</italic></td>
<td valign="top" align="left">GGTGTTGGTGGTGGTTTCCC</td>
<td valign="top" align="left">AY486426.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CAGTCGCTTGTGCCAGTTCC</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>pen3</italic></td>
<td valign="top" align="left">ATACCCAGGCCACCACCCTT</td>
<td valign="top" align="left">DQ206403.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">TGACAGCAACGCCCTAACC</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x003B2;-actin</italic></td>
<td valign="top" align="left">GAGCAACACGGAGTTCGTTGT</td>
<td valign="top" align="left">AF300705.2</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CATCACCAACTGGGACGACATGGA</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>alf, anti-lipopolysaccharide factor; cru, crustins; pen3, penaeidins 3</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Intestinal Microbiota Analysis</title>
<p>Microbial DNA of the intestine from six shrimp as two pooled samples in each tank was extracted using E.Z.N.A. stool DNA Kit (Omega Bio-tek, Inc., United States) following the protocols of the manufacturer. To analyze the microbial population, the V3&#x02013;V4 variable region of the 16S ribosomal RNA gene was amplified by the primers 341F (5&#x02032;-CCTACGGGNGGCWGCAG-3&#x02032;) and 806R (5&#x02032;-GGACTACHVGGGTATCTAAT-3&#x02032;) where the barcode is an eight-base sequence unique to each sample. The reactions were carried out in triplicate 50 &#x003BC;l mixture containing 100 ng of template DNA, 5 &#x003BC;l of 10 &#x000D7; KOD Buffer, 5 &#x003BC;l of 2.5 mM dNTPs, 1.5 &#x003BC;l of each primer (5 &#x003BC;M), and 1 &#x003BC;l of KOD polymerase. The PCR was run as follows: initial denaturation at 94&#x000B0;C for 2 min, followed by 30 cycles of denaturation at 98&#x000B0;C for 10 s, 62&#x000B0;C for 30 s, and 68&#x000B0;C for 30 s, followed by a final extension at 68&#x000B0;C for 5 min.</p>
<p>High-throughput sequencing of the purified PCR products was carried out using Illumina NovaSeq 6000 sequencing system. Amplicons were extracted from 2% agarose gels and purified using the AMPure XP Beads (Beckman Agencourt, United States) following the protocols of the manufacturer and quantified using ABI StepOnePlus Real-Time PCR System (Life Technologies, Foster City, United States). Purified amplicons were pooled in equimolar and paired-end sequenced (PE250) in the Illumina platform according to the standard protocols. After sequencing, the raw reads containing more than 10% of unknown nucleotides or containing less than 50% of bases with quality (Q-value) &#x0003E; 20 were removed, and the paired-end clean reads were merged as raw tags using FLASH (version 1.2.11) (Mago&#x0010D; and Salzberg, <xref ref-type="bibr" rid="B34">2011</xref>). Raw tags were filtered following Bokulich et al.&#x00027;s (<xref ref-type="bibr" rid="B6">2013</xref>) condition to obtain high-quality clean tags. The clean tags were clustered into operational taxonomic units (OTUs) of &#x02265;97% similarity using UPARSE (version 9.2.64) pipeline (Edgar, <xref ref-type="bibr" rid="B15">2013</xref>). All chimeric tags were removed using UCHIME algorithm and finally obtained effective tags for further analysis. The tag sequence with the highest abundance was selected as a representative sequence within each cluster. The representative OTU sequences were classified into organisms using RDP classifier based on SILVA database (version 132), with the confidence threshold value of 0.8. Among groups, Venn analysis was performed in R project Venn Diagram package (version 1.6.16) to identify unique and common species of OTUs. The stacked bar plot of the community composition on phylum level was visualized in the R project ggplot2 package (version 2.2.1). Heatmap of genus abundance was plotted using pheatmap package (version 1.0.12) in R project. Alpha diversity analysis, including ACE, Chao1, Simpson, and Shannon were calculated in QIIME (version 1.9.1). The alpha index comparison among groups was computed by Tukey&#x00027;s HSD test in SPSS 21.0. The principal coordinates analysis (PCoA) of weighted-UniFrac distances of multivariate statistical techniques and analysis of similarities (Anosim) test of Bray&#x02013;Curtis distances performed on OTU level were calculated by the R project Vegan package (version 2.5.3) (Oksanen et al., <xref ref-type="bibr" rid="B35">2013</xref>) and plotted in the R project ggplot2 package.</p>
</sec>
<sec>
<title>Calculations and Statistical Analysis</title>
<p>The growth performance was calculated as follows:</p>
<p>Weight gain (WG, %)</p>
<list list-type="simple">
<list-item><p>= 100 &#x000D7; (final body weight - initial body weight)/initial body weight</p></list-item>
</list>
<p>Specific growth rate (SGR, % per day)</p>
<list list-type="simple">
<list-item><p>= 100 &#x000D7; (Ln final body weight - Ln initial body weight)/t</p></list-item>
</list>
<p>Survival (%)</p>
<list list-type="simple">
<list-item><p>= 100 &#x000D7; (final number of shrimp)/ (initial number of shrimp)</p></list-item>
</list>
<p>Feed conversion rate (FCR)</p>
<list list-type="simple">
<list-item><p>= feed consumed (g)/ (final body weight - initial body weight)</p></list-item>
</list>
<p>where t is the experimental duration in days.</p>
<p>The results were presented as the means with SEM. All data were subjected to ANOVA followed by Tukey&#x00027;s HSD test to determine significant differences among treatments using SPSS 21.0 (SPSS, Chicago, IL, United States). A probability value of <italic>P</italic> &#x0003C; 0.05 was deemed to be statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Growth Performance and Cumulative Mortality After Challenge</title>
<p>As shown in <xref ref-type="table" rid="T5">Table 5</xref>, the final body weight (FBW), weight gain (WG), and the specific growth rate (SGR) decreased with the increasing BSF addition, and FBW, WG, and SGR of shrimp fed with BSF30 were significantly lower than those fed with FM (<italic>P</italic> &#x0003C; 0.05). Feed conversion rate (FCR) first decreased and then increased with the increasing dietary BSF levels, and FCR of shrimp fed with BSF20 diet was significantly lower than those fed with BSF30 (<italic>P</italic> &#x0003C; 0.05). The results of the challenge trial are shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The survival rate of shrimp fed with BSF10 significantly increased compared with those fed with FM after infection for 12 d (<italic>P</italic> &#x0003C; 0.05).</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>The effect of black soldier fly larvae meal (BSF) on growth performance of <italic>Litopenaeus vannamei</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="left" style="border-bottom: thin solid #000000;"><bold>Group</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>FM</bold></th>
<th valign="top" align="center"><bold>BSF10</bold></th>
<th valign="top" align="center"><bold>BSF20</bold></th>
<th valign="top" align="center"><bold>BSF30</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IBW</td>
<td valign="top" align="center">0.88 &#x000B1; 0.001</td>
<td valign="top" align="center">0.88 &#x000B1; 0.002</td>
<td valign="top" align="center">0.88 &#x000B1; 0.001</td>
<td valign="top" align="center">0.88 &#x000B1; 0.002</td>
</tr>
<tr>
<td valign="top" align="left">FBW</td>
<td valign="top" align="center">7.76 &#x000B1; 0.09<sup>b</sup></td>
<td valign="top" align="center">7.66 &#x000B1; 0.19<sup>ab</sup></td>
<td valign="top" align="center">7.55 &#x000B1; 0.13<sup>ab</sup></td>
<td valign="top" align="center">7.06 &#x000B1; 0.16<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">WG</td>
<td valign="top" align="center">776.38 &#x000B1; 10.3<sup>b</sup></td>
<td valign="top" align="center">767.58 &#x000B1; 25<sup>ab</sup></td>
<td valign="top" align="center">758.11 &#x000B1; 13.51<sup>ab</sup></td>
<td valign="top" align="center">698.35 &#x000B1; 18.95<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">SGR</td>
<td valign="top" align="center">4.34 &#x000B1; 0.02<sup>b</sup></td>
<td valign="top" align="center">4.32 &#x000B1; 0.05<sup>ab</sup></td>
<td valign="top" align="center">4.29 &#x000B1; 0.03<sup>ab</sup></td>
<td valign="top" align="center">4.15 &#x000B1; 0.04<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Survival</td>
<td valign="top" align="center">93.75 &#x000B1; 1.25</td>
<td valign="top" align="center">96.66 &#x000B1; 3.11</td>
<td valign="top" align="center">94.16 &#x000B1; 8.24</td>
<td valign="top" align="center">100 &#x000B1; 0</td>
</tr>
<tr>
<td valign="top" align="left">FCR</td>
<td valign="top" align="center">1.62 &#x000B1; 0.04<sup>ab</sup></td>
<td valign="top" align="center">1.6 &#x000B1; 0.03<sup>ab</sup></td>
<td valign="top" align="center">1.55 &#x000B1; 0<sup>a</sup></td>
<td valign="top" align="center">1.7 &#x000B1; 0.04<sup>b</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data represent mean &#x000B1; SEM of three replicates (n = 3). Values in the same row with different letters are significantly different (P &#x0003C; 0.05) based on Tukey&#x00027;s HSD test. The lack of superscript letter indicates no significant differences among groups</italic>.</p>
<p><italic>Where: IBW, initial body weight (g); FBW, final body weight (g); WG, weight gain (%); SGR, specific growth rate (% day<sup>-1</sup>); FCR, feed conversion rate</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Effect of black soldier fly larvae meal (BSF) on the survival rate of <italic>Litopenaeus vannamei</italic> after infection of <italic>Vibrio parahaemolyticus</italic>. Asterisk (&#x0002A;) indicates significantly different (<italic>P</italic> &#x0003C; 0.05) among groups based on Tukey&#x00027;s HSD test.</p></caption>
<graphic xlink:href="fmars-08-706463-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Intestinal Histology</title>
<p>The statistical results of intestinal histology are shown in <xref ref-type="table" rid="T6">Table 6</xref>. Results showed that the height of the microvilli significantly increased in shrimp fed with BSF10 diet, but decreased in those fed with BSF20 diet (<italic>P</italic> &#x0003C; 0.05). The height of the mucosal folds significantly decreased with the increasing BSF addition (<italic>P</italic> &#x0003C; 0.05). The width of the mucosal folds of shrimp fed with FM and BSF10 were significantly more than those fed with BSF20 and BSF30 (<italic>P</italic> &#x0003C; 0.05). The thickness of the muscle layer of shrimp fed with BSF10 was significantly higher than the other three groups (<italic>P</italic> &#x0003C; 0.05). As shown in <xref ref-type="fig" rid="F2">Figure 2</xref>, the results of TEM revealed that shrimp fed with BSF20 and BSF30 showed obvious swelling of the nuclear membrane, and in particular, the chromatin of shrimp fed with BSF30 was abnormally agglutinated and distributed along the nuclear membrane. Mitochondrial cristae of shrimp fed with BSF20 were irregular and the mitochondrial structure of shrimp fed with BSF30 was disrupted. The cystic lumen of the endoplasmic reticulum of shrimp fed with BSF30 swelled and a large number of vesicles appeared in the cytoplasm.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>The effect of black soldier fly larvae meal (BSF) on intestinal histology of <italic>Litopenaeus vannamei</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Diets</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>FM</bold></th>
<th valign="top" align="center"><bold>BSF10</bold></th>
<th valign="top" align="center"><bold>BSF20</bold></th>
<th valign="top" align="center"><bold>BSF30</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Microvilli height (&#x003BC;m)</td>
<td valign="top" align="center">1.72 &#x000B1; 0.12<sup>b</sup></td>
<td valign="top" align="center">2.00 &#x000B1; 0.20<sup>c</sup></td>
<td valign="top" align="center">1.24 &#x000B1; 0.12<sup>a</sup></td>
<td valign="top" align="center">1.62 &#x000B1; 0.14<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">Mucosal folds height (&#x003BC;m)</td>
<td valign="top" align="center">58.85 &#x000B1; 5.87<sup>d</sup></td>
<td valign="top" align="center">48.40 &#x000B1; 4.08<sup>c</sup></td>
<td valign="top" align="center">39.82 &#x000B1; 2.03<sup>b</sup></td>
<td valign="top" align="center">26.50 &#x000B1; 3.30<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Mucosal folds width (&#x003BC;m)</td>
<td valign="top" align="center">51.73 &#x000B1; 7.70<sup>b</sup></td>
<td valign="top" align="center">51.60 &#x000B1; 8.36<sup>b</sup></td>
<td valign="top" align="center">37.96 &#x000B1; 9.17<sup>a</sup></td>
<td valign="top" align="center">28.35 &#x000B1; 4.80<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Muscle layer thickness (&#x003BC;m)</td>
<td valign="top" align="center">41.47 &#x000B1; 6.25<sup>a</sup></td>
<td valign="top" align="center">59.36 &#x000B1; 4.60<sup>b</sup></td>
<td valign="top" align="center">42.68 &#x000B1; 4.69<sup>a</sup></td>
<td valign="top" align="center">39.23 &#x000B1; 5.30<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data represent mean &#x000B1; SEM of three replicates (n = 3). Values in the same row with different letters are significantly different (P &#x0003C; 0.05) based on Tukey&#x00027;s HSD test. The lack of superscript letter indicates no significant differences among groups</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Effect of BSF on midgut histology of <italic>L. vannamei</italic>. Where: ER, endoplasmic reticulum; N, cell nucleus; NM, nucleus membrane; MF, mucosal folds; ML, muscle layer; M, mitochondria; MV, microvilli; V, Vesicles. a shows height of mucosal folds; and b shows width of mucosal folds. Pictures in the same row are considered as the same group.</p></caption>
<graphic xlink:href="fmars-08-706463-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Expression of Non-specific Immune-related Genes in the Intestine</title>
<p>As shown in <xref ref-type="fig" rid="F3">Figure 3</xref>, mRNA expression of <italic>dorsal</italic> and <italic>relish</italic> significantly decreased in shrimp fed with BSF20 and BSF30, while no significant change was found in shrimp fed with BSF10 compared to those fed with FM (<italic>P</italic> &#x0003C; 0.05). The mRNA expression of <italic>alf</italic> (anti-lipopolysaccharide factor) significantly increased in shrimp fed BSF10 but decreased in shrimp fed BSF30 compared to those fed FM (<italic>P</italic> &#x0003C; 0.05). The mRNA expression of <italic>cru</italic> (crustins) showed no significant difference between the shrimp fed FM and BSF diets (<italic>P</italic> &#x0003E; 0.05). The mRNA expression of <italic>pen3</italic> (penaeidins 3) significantly increased in shrimp fed with BSF10 and BSF20 (<italic>P</italic> &#x0003C; 0.05), but no significant changes were observed in shrimp fed with BSF10 compared to those fed with FM (<italic>P</italic> &#x0003E; 0.05).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Effect of BSF on mRNA levels of <italic>dorsal, relish, alf</italic> (anti-lipopolysaccharide factor), <italic>cru</italic> (crustins), and <italic>pen3</italic> (penaeidins 3) in the intestine of <italic>L. vannamei</italic>. Vertical bars represent the mean &#x000B1; SEM (<italic>n</italic> = 3). Data marked with different letters differ significantly (<italic>P</italic> &#x0003C; 0.05) among groups based on Tukey&#x00027;s HSD test.</p></caption>
<graphic xlink:href="fmars-08-706463-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Intestinal Microbiota Analysis</title>
<p>A total of 998,755 raw tags were obtained from the gut samples, with an average of 110,972.8 raw tags per sample (ranging from 102,809 to 116,331 sequences). After sequence analysis and filtering, we finally got a total of 942,176 effective tags with an average of 104,686.2 effective tags per sample (ranging from 100,932 to 111,704 sequences). Sequences with more than 97% similarity were clustered into OTUs. As shown in <xref ref-type="fig" rid="F4">Figure 4A</xref>, 224 OTUs were overlapped among the three groups. To be specific, the core OTU numbers in the shrimp fed with FM (104) were the highest, followed by the shrimp fed with BSF30 (104) and BSF20 (51). The PCoA based on weighted-UniFrac distances and analysis of similarities (Anosim) using the Bray&#x02013;Curtis distance matrix on OUT levels were performed to assess the modification in microbiota composition after the feeding trial. As shown in <xref ref-type="fig" rid="F4">Figure 4B</xref>, the composition of the intestine microbiota from the FM-fed group was clustered closer to BSF30-fed group rather than BSF20-fed group. However, the results of R &#x0003E; 0 and <italic>P</italic> &#x0003E; 0.05 in Anosim test indicated that the differences in microbiota composition among FM-, BSF20-, and BSF30-fed groups were not significant (<italic>P</italic> &#x0003E; 0.05) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). As for the alpha diversity indices, there were no significant differences in bacterial richness parameters (Chao1 and Ace) and bacterial diversity parameters (Shannon and Simpson) among the three groups (<italic>P</italic> &#x0003E; 0.05) (<xref ref-type="table" rid="T7">Table 7</xref>). After the feeding trial, the microbial composition of the intestinal microbiota in <italic>L. vannamei</italic> was altered by the BSF replacement. As shown in <xref ref-type="fig" rid="F5">Figure 5</xref>, Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria, Verrucomicrobia, Planctomycetes, Cyanobacteria, Tenericutes, Chloroflexi, and Gemmatimonadetes were the top 10 phyla in <italic>L. vannamei</italic>. The heatmap of the top 20 abundance intestinal microbiota is shown in <xref ref-type="fig" rid="F6">Figure 6</xref>. The abundance of genus <italic>Vibrio, Photobacterium, Haloferula, ZOR0006, Rubritalea, Candidatus_Bacilloplasma, Marivita</italic>, and <italic>Hoppeia</italic> increased in shrimp fed with FM diet. The abundance of <italic>Ruegeria, Halocynthiibacter, Pseudoalteromonas, Tenacibaculum, Tamlana, Pir4_lineage, Marivita, Ilumatobacter, Hoppeia</italic>, and <italic>Blastopirellula</italic> increased in shrimp fed with BSF20, while the abundance of <italic>Bacillus, Acinetobacter</italic>, and <italic>ZOR0006</italic> increased in shrimp fed with BSF30.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Intestine microbiota responses of <italic>L. vannamei</italic> fed with diets containing different contents of BSF. <bold>(A)</bold> Venn diagrams of OTUs among groups; <bold>(B)</bold> Principal coordinates analysis (PCoA) based on weighted-UniFrac analysis of bacterial profiles.</p></caption>
<graphic xlink:href="fmars-08-706463-g0004.tif"/>
</fig>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>The effect of black soldier fly larvae meal (BSF) on alpha diversity indices in the intestinal microbiota of <italic>Litopenaeus vannamei</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Diets</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Richness estimators</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Diversity estimators</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Ace</bold></th>
<th valign="top" align="center"><bold>Chao1</bold></th>
<th valign="top" align="center"><bold>Simpson</bold></th>
<th valign="top" align="center"><bold>Shannon</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FM</td>
<td valign="top" align="center">458.95 &#x000B1; 27.85</td>
<td valign="top" align="center">450.86 &#x000B1; 43.36</td>
<td valign="top" align="center">0.8 &#x000B1; 0.01</td>
<td valign="top" align="center">3.59 &#x000B1; 0.11</td>
</tr>
<tr>
<td valign="top" align="left">BSF20</td>
<td valign="top" align="center">446.58 &#x000B1; 40.31</td>
<td valign="top" align="center">419.91 &#x000B1; 33.42</td>
<td valign="top" align="center">0.88 &#x000B1; 0.03</td>
<td valign="top" align="center">4.11 &#x000B1; 0.49</td>
</tr>
<tr>
<td valign="top" align="left">BSF30</td>
<td valign="top" align="center">464.43 &#x000B1; 7.98</td>
<td valign="top" align="center">464.46 &#x000B1; 11.18</td>
<td valign="top" align="center">0.82 &#x000B1; 0.05</td>
<td valign="top" align="center">3.69 &#x000B1; 0.55</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data represent mean &#x000B1; SEM of three replicates (n = 3). Values in the same row with different letters are significantly different (P &#x0003C; 0.05). The lack of superscript letter indicates no significant differences among groups</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Relative abundance comparison of intestinal microbiota in <italic>L. vannamei</italic> fed with different diets at the phylum level of the taxonomy (<italic>n</italic> = 3).</p></caption>
<graphic xlink:href="fmars-08-706463-g0005.tif"/>
</fig>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Heatmap of top 20 abundance intestinal microbiota in <italic>L. vannamei</italic> fed with different diets at the genus level. The color bar of each genus is average of three samples in each group. The taxonomy of the genus (family and phylum) is depicted on the right.</p></caption>
<graphic xlink:href="fmars-08-706463-g0006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Although differences in the metamorphic stage of insects (larvae and pupae) (Huyben et al., <xref ref-type="bibr" rid="B25">2019</xref>), nutrient composition caused by different food sources (Barroso et al., <xref ref-type="bibr" rid="B5">2017</xref>), and processing techniques (Larouche et al., <xref ref-type="bibr" rid="B27">2019</xref>) may lead to distinguishing experimental results, many studies have demonstrated the potential of BSF for application in aquatic animal feeds (Li et al., <xref ref-type="bibr" rid="B30">2017</xref>; Renna et al., <xref ref-type="bibr" rid="B43">2017</xref>; Wang et al., <xref ref-type="bibr" rid="B55">2019</xref>). Similar to the previous studies, the present study showed that better growth performance was obtained when 20% of FM was replaced with BSF, but replacing 30% of FM significantly reduced the final body weight, weight gain, and specific growth rate of the shrimp (Cummins et al., <xref ref-type="bibr" rid="B12">2017</xref>; Hu et al., <xref ref-type="bibr" rid="B23">2019</xref>). Due to the high lipid content (10&#x02013;40%), BSF is often processed by oil separation methods into protein-rich components to minimize the risk of fat oxidation and compositional changes. The use of defatted BSF in shrimp feed has also been studied, and defatted BSF can replace 60% of FM without negatively affecting the growth performance and antioxidant and immune capacity of shrimp (Wang et al., <xref ref-type="bibr" rid="B54">2021</xref>). This suggests that the inhibition of growth performance by the addition of high levels of BSF to shrimp diets may be due to the fatty acid composition in BSF. Under the present experimental conditions, the fatty acid composition of BSF was rich in lauric acids, but very low in EPA and DHA, compared to FM. Lipids are not only a major source of energy and carriers of fat-soluble vitamins but also serve as components of cell membranes and precursors for many important metabolites (Zhou et al., <xref ref-type="bibr" rid="B66">2019</xref>; Xie et al., <xref ref-type="bibr" rid="B60">2020</xref>). Replacement of FM with BSF in the diet reduced the highly unsaturated fatty acid contents in the diet, and the hepatocyte disruption was observed in <italic>L. vannamei</italic> (Wang et al., <xref ref-type="bibr" rid="B54">2021</xref>) and <italic>Cyprinus carpio var</italic>. Jian (Li et al., <xref ref-type="bibr" rid="B30">2017</xref>). In addition to BSF, other insect proteins have been also studied in shrimp diet, such as silkworms (<italic>Bombyx mori</italic> L.). Replacing 75% of FM with defatted silkworm meal did not affect the growth performance of <italic>L. vannamei</italic> but higher levels of silkworm meal would lead to hepatopancreas tubular damage (Rahimnejad et al., <xref ref-type="bibr" rid="B41">2019</xref>). However, the effect of dietary BSF on the intestinal health remains unknown. Excessive replacement of FM may lead to impaired nutritional sensitivity and metabolism (Xu et al., <xref ref-type="bibr" rid="B64">2016</xref>; Shao et al., <xref ref-type="bibr" rid="B46">2020</xref>). Besides, intestinal histology is directly related to the digestion and absorption of nutrients by the shrimp, thus affecting growth.</p>
<p>In addition to the growth status of shrimp, issues related to animal welfare need to be considered, which includes the effects of immune status, oxidative status, and diet on the intestinal structure, directly affecting the digestive function and immune response of shrimp (Bruni et al., <xref ref-type="bibr" rid="B7">2018</xref>). The intestinal structural barrier separates the internal from the external environment and is the first line of defense against invasion by pathogens (Rahimnejad et al., <xref ref-type="bibr" rid="B42">2018</xref>). In the results of HE-staining sections, it was clear that the width and height of intestinal mucosal folds decreased with increasing BSF replacement. The shrinkage of intestinal mucosal folds will reduce the contact area between the intestine and the food of shrimp, which is not conducive to food digestion and nutrient absorption. Besides, results of TEM showed that shrimp fed with BSF30 showed early signs of apoptosis: chromatin consolidation, separation and distribution along the nuclear membrane, swelling of the endoplasmic reticulum vesicles, and abnormal mitochondrial structures, demonstrating that BSF replacement for 30% FM can damage the intestinal epithelial cell structure of shrimp and may explain the reduction of growth performance (Xie et al., <xref ref-type="bibr" rid="B63">2018</xref>). In a previous study, the reduction of FM in diets upregulated the expression of endoplasmic reticulum stress-related genes, resulting in severe endoplasmic reticulum stress in the intestine (Xie et al., <xref ref-type="bibr" rid="B60">2020</xref>). The content of highly unsaturated fatty acids in the diet decreases with the proportion of FM and fish oil in the diet, which negatively affects the biophysical properties of cell membranes and may lead to apoptosis (O&#x00027;shea et al., <xref ref-type="bibr" rid="B36">2009</xref>).</p>
<p>The non-specific immune system of the shrimp plays an important role in the resistance to pathogen invasion (Gui et al., <xref ref-type="bibr" rid="B19">2019</xref>). To evaluate the effect of BSF on resistance to <italic>V. Parahaemolyticus</italic> infection, a challenge trial was conducted to compare the disease resistance of shrimp fed diets containing different levels of BSF. Colonizing in the intestine, <italic>V. parahaemolyticus</italic> would result in EMS, also known as acute hepatopancreatic necrosis disease (Zorriehzahra and Banaederakhshan, <xref ref-type="bibr" rid="B68">2015</xref>; Qi et al., <xref ref-type="bibr" rid="B39">2017</xref>). In this study, the survival rate of shrimp fed with BSF10 was significantly higher than those fed with FM after infection, indicating that BSF replacement of 10% FM could improve the resistance of <italic>L. vannamei</italic> to <italic>V. Parahaemolyticus</italic>.</p>
<p>Furthermore, the effect of BSF on the non-specific immune gene expression in the intestine was investigated. <italic>dorsal</italic> and <italic>relish</italic> are Rel/NF-&#x003BA;B transcription factors, the former factor activating antifungal and antimicrobial responses in the Toll pathway through a cascade amplification effect, and the latter one activating antimicrobial peptide gene expression in the IMD pathway (Li and Xiang, <xref ref-type="bibr" rid="B29">2013</xref>). The Toll and IMD pathways induce immune-related gene expression during pathogen invasion, thereby regulating the early stages of the immune response (Jin et al., <xref ref-type="bibr" rid="B26">2018</xref>). The results showed that intestinal <italic>dorsal</italic> and <italic>relish</italic> mRNA levels were maintained at the control level in the shrimp fed with BSF10 but downregulated in those fed with BSF20 and BSF30. Furthermore, antimicrobial peptides are products of the immune response and are capable of directly killing or removing pathogens (Bach&#x000E8;re, <xref ref-type="bibr" rid="B3">2003</xref>; Wang et al., <xref ref-type="bibr" rid="B57">2007</xref>). Anti-lipopolysaccharide factor has been reported in <italic>L. vannamei</italic> (De La Vega et al., <xref ref-type="bibr" rid="B13">2008</xref>), <italic>Fenneropenaeus chinensis</italic> (Li et al., <xref ref-type="bibr" rid="B31">2013</xref>), and <italic>Penaeus monodon</italic> (Supungul et al., <xref ref-type="bibr" rid="B50">2004</xref>), which showed a broad-spectrum of antimicrobial activity against Gram-negative bacteria and endotoxins (Silveira et al., <xref ref-type="bibr" rid="B48">2018</xref>). Crustins are antimicrobial peptides prevalent in crustaceans with antibacterial activity against Gram-positive bacteria, as well as inhibition of fungi and white spot syndrome virus (Shockey et al., <xref ref-type="bibr" rid="B47">2009</xref>; Chen et al., <xref ref-type="bibr" rid="B10">2019</xref>). Penaeidins 3 is an antimicrobial peptide isolated from <italic>L. vannamei</italic> (Destoumieux et al., <xref ref-type="bibr" rid="B14">1997</xref>) with antibacterial activity against Gram-positive bacteria and fungi (Takuji, <xref ref-type="bibr" rid="B51">2007</xref>). In the present study, mRNA level of <italic>alf</italic> upregulated in shrimp fed with BSF10, while downregulated in those fed with BSF30, which was consistent with the results of the challenge trial, indicating that dietary BSF replacing 10% FM can improve intestinal immunity in shrimp.</p>
<p>In addition to the immune defense of shrimp, the gut microbiota has been found to have a remarkable effect on animal health, growth, and survival and is of increasing interest to researchers and breeders (He et al., <xref ref-type="bibr" rid="B20">2017</xref>; Li et al., <xref ref-type="bibr" rid="B28">2018</xref>). To date, the effect of BSF on the intestinal microbiota has been studied on aquatic animals, such as rainbow trout (Terova et al., <xref ref-type="bibr" rid="B53">2019</xref>), zebrafish (<italic>Danio rerio</italic>) (Osimani et al., <xref ref-type="bibr" rid="B37">2019</xref>), rice field eel (<italic>Monopterus albus</italic>) (Hu et al., <xref ref-type="bibr" rid="B22">2020</xref>), marron (<italic>Cherax cainii</italic>) (Foysal et al., <xref ref-type="bibr" rid="B18">2019</xref>), and other animals. Since there was no significant difference in the growth performance of shrimp fed with BSF10 and BSF20, we explored the intestinal microbiota of shrimp fed with FM, BSF20, and BSF30 diets. Results showed that there were no significant differences in Anosim tests of beta diversity analysis, indicating that the intestinal microbiota community was not separated in shrimp fed with FM, BSF20, and BSF30 diets. At the phylum level, Proteobacteria was the most common bacteria in the shrimp gut, followed by Bacteroidetes, Firmicutes, and Actinobacteria, which was in line with the results of a previous study (Amoah et al., <xref ref-type="bibr" rid="B1">2020</xref>). Proteobacteria do not change in abundance with environment or diet and are the most stable bacteria in <italic>L. vannamei</italic>, while the abundance of the other major bacterial phyla (Firmicutes, Bacteroidetes, Actinobacteria) may vary with developmental stage, diet, and environmental factors (Li et al., <xref ref-type="bibr" rid="B28">2018</xref>). At the genus level, <italic>Vibrio</italic> and <italic>Photobacterium</italic> are known as opportunistic pathogens and have been reported in shrimp diseases (Avenda&#x000F1;o-Herrera et al., <xref ref-type="bibr" rid="B2">2006</xref>; Liu and Qiu, <xref ref-type="bibr" rid="B33">2007</xref>; Wang et al., <xref ref-type="bibr" rid="B58">2020</xref>). <italic>Tenacibaculum</italic> and <italic>Acinetobacter</italic> have also been reported as bacterial pathogens, while the former was identified in marine fish, which causes an ulcerative disease (Avenda&#x000F1;o-Herrera et al., <xref ref-type="bibr" rid="B2">2006</xref>) as well as the latter was identified as a potential pathogen of red leg disease in the Pacific white shrimp (Huang et al., <xref ref-type="bibr" rid="B24">2020</xref>). Moreover, <italic>Candidatus_Bacilloplasma</italic> may contribute to WFS in <italic>L. vannamei</italic> (Hou et al., <xref ref-type="bibr" rid="B21">2018</xref>). In the present study, the reduction of some harmful bacteria in shrimp fed with BSF20 may help improve intestinal health. On the other hand, some beneficial bacteria also differed among FM, BSF20, and BSF30. <italic>Haloferula</italic> has been reported in sea cucumbers (<italic>Apostichopus japonicus</italic>) and was reduced by the high levels of selenium and vitamin C supplementation, indicating that <italic>Haloferula</italic> is related to the antioxidant capacity of the gut (Zeng et al., <xref ref-type="bibr" rid="B65">2020</xref>). Moreover, <italic>Pseudoalteromonas</italic> has been shown to produce extracellular antibacterial compounds, which could enhance the resistance of shrimp to <italic>V. parahaemolyticus</italic> (Wang et al., <xref ref-type="bibr" rid="B56">2018</xref>). <italic>Bacillus</italic> is a non-pathogenic Gram-positive bacterium and is beneficial to the growth performance and immunity of the Pacific white shrimp (Wen et al., <xref ref-type="bibr" rid="B59">2011</xref>; Zokaeifar et al., <xref ref-type="bibr" rid="B67">2012</xref>; Tang et al., <xref ref-type="bibr" rid="B52">2015</xref>). The increase of <italic>Pseudoalteromonas</italic> in BSF20-fed group and <italic>Bacillus</italic> in BSF30-fed group may enhance the intestinal health. According to the present study, the increase of beneficial bacteria and the reduction of harmful bacteria suggest that BSF20 diet may improve the intestinal bacterial communities of <italic>L. vannamei</italic>.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>The present study evaluated the effects of BSF on growth, intestinal health, and susceptibility to <italic>V. parahaemolyticus</italic> of <italic>L. vannamei</italic>. Results showed that BSF replacement of 10% FM did not negatively affect the growth performance and intestinal histology of the shrimp <italic>L. vannamei</italic>, but improved the survival rate after infection of the bacteria <italic>V. parahaemolyticus</italic>. When the replacement of FM was increased to 20%, there was no negative effect on the intestinal integrity and promoted a positive modulation in the intestinal microbiota. However, FM replacement up to 30% promoted intestinal cell apoptosis and degeneration and was deleterious to the shrimp.</p>
</sec>
<sec sec-type="data-availability-statement" id="s6">
<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 at: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA729583">https://www.ncbi.nlm.nih.gov/bioproject/PRJNA729583</ext-link>.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>This animal study was reviewed and approved by the Animal Ethical and Welfare Committee of Guangdong Ocean University.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>YC and SX designed the experiments. YC carried out the experiments and drafted the manuscript. SC, SZ, XD, QY, and HL: accountable for some aspects (such as ingredients and sites) of the study in ensuring that the experiment can be carried out properly. SX and BT reviewed and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
</body>
<back>
<ack><p>We are grateful to Guangzhou Genedenovo Biotechnology Co., Ltd (Guangdong, China) for assisting in sequencing and bioinformatics analysis (<ext-link ext-link-type="uri" xlink:href="http://www.omicsmart.com">http://www.omicsmart.com</ext-link>).</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<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/fmars.2021.706463/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2021.706463/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.TIF" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>Analysis of similarities (Anosim) test of Bray&#x02013;Curtis distances performed on OTU level.</p></caption>
</supplementary-material>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This study was supported by the fund of the National Key R&#x00026;D Program of China (2019YFD0900200), the National Natural Science Foundation of China (32002402), and the Guangdong Basic and Applied Basic Research Foundation (2019A1515011970, 2021A1515010428).</p>
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