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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.2023.1225503</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>Improvement in gravel-mulched land soil nutrient and bacterial community diversity with <italic>Lonicera japonica</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xing</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2295552/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Bin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</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="https://loop.frontiersin.org/people/2319395/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hua</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bao</surname>
<given-names>Yangmei</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>McLaughlin</surname>
<given-names>Neil B.</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Lanping</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/183963/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute of Forestry and Grassland Ecology, Ningxia Academy of Agricultural and Forestry Sciences</institution>, <addr-line>Yinchuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Chengdu Institute of Biology, Chinese Academy of Sciences</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Ottawa Research and Development Centre, Agriculture and Agri-Food Canada</institution>, <addr-line>Ottawa, ON</addr-line>, <country>Canada</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Anna Ga&#x0142;&#x0105;zka, Institute of Soil Science and Plant Cultivation, Poland</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Gwen-Aelle Grelet, Manaaki Whenua Landcare Research, New Zealand; Xiaopeng Tang, Guizhou Normal University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Bin Ma, <email>mbin89@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1225503</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Wang, Ma, Liu, Bao, Li, McLaughlin and Guo.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang, Ma, Liu, Bao, Li, McLaughlin and Guo</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>Gravel-mulched land in China suffers from poor natural resources and fragile ecological environment, posing a challenge to effective restoration of ecological function. <italic>Lonicera japonica,</italic> a traditional Chinese herb used for treating human diseases, is a highly adaptable and resilient plant species, can effectively improve the soil properties, and may have important implications for the ecology and economy of gravel-mulched land. A study was conducted in a gravel-mulched field to measure the impact of planting the <italic>L. japonica</italic> (including control (CK), 1-year, 2-year, and 4-year cultivation of plants) on (i) dynamic changes in soil nutrient and enzyme activity properties, and (ii) soil rhizosphere microbial community structure characteristics. We found that the concentration of soil organic carbon, available nitrogen, available phosphorus and available potassium in <italic>L. japonica</italic> soil after cultivation for 1&#x2013;4&#x2009;years increased by 11&#x2013;409%. The urease, phosphatase and catalase activities were increased by 11&#x2013;560%, with the highest nutrient concentration and enzyme activity in 4-year plants. The pH value gradually decreased after cultivation. The improved soil environments increased soil bacterial community diversity. Planting <italic>L. japonica</italic> significantly increased the bacterial ACE, Chao1 index, Simpson index, and Shannon-Wiener index. The <italic>Firmicutes</italic>, <italic>Proteobacteria</italic> and <italic>Bacteroidetes</italic> were observed in dominant phyla. The relative abundance of eight genera, including <italic>Streptococcus</italic>, <italic>Veillonella</italic> and <italic>Rothia</italic>, was significantly reduced by more than 1%. Taken together, these soil indicators suggest that planting <italic>L. japonica</italic> in the short term would be a cost-effective strategy to combat soil degradation in a gravel-mulched ecosystem.</p>
</abstract>
<kwd-group>
<kwd>gravel-mulched land</kwd>
<kwd><italic>Lonicera japonica</italic></kwd>
<kwd>soil physical and chemical indicators</kwd>
<kwd>enzyme activity</kwd>
<kwd>bacterial community</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="10"/>
<word-count count="6626"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbe and Virus Interactions with Plants</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>It is well-established that soil nutrients, microorganisms and enzymes are important components of soil ecosystems (<xref ref-type="bibr" rid="ref22">Na et al., 2021</xref>; <xref ref-type="bibr" rid="ref17">Li Y. et al., 2023</xref>). In soil ecosystems, the rhizosphere is closely related to plants and interacts with them throughout their life cycle (<xref ref-type="bibr" rid="ref18">Liu et al., 2019</xref>). An increasing body of evidence suggests that the diversity of rhizosphere soil microorganisms and the presence of specific genera can ensure proper soil function and promote plant health (<xref ref-type="bibr" rid="ref5">Chen et al., 2019</xref>; <xref ref-type="bibr" rid="ref43">Zhang et al., 2019</xref>). Soil enzymes act as biocatalysts, and their activity level reflects soil biological activity and fertility (<xref ref-type="bibr" rid="ref8">Gregorich et al., 1994</xref>; <xref ref-type="bibr" rid="ref20">Mi et al., 2018</xref>). Changes in soil microbial and enzyme activities are important indicators of the effectiveness of soil nutrient fertility utilization and respond rapidly to changes in soil environmental conditions, providing an early indication of changes in soil health (<xref ref-type="bibr" rid="ref16">Li J. et al., 2023</xref>).</p>
<p>The arid and semi-arid areas of north-west China have a poor natural resource endowment and a fragile ecological environment, and are subject to serious soil erosion, accounting for their poor economic status. The past few years have witnessed a burgeoning interest in restoring the natural habitat of this region. Gravel mulching which began in the early Kangxi period of the Qing Dynasty (1,644 to 1911) dating back to about 300&#x2009;years ago, is a unique form of drought-resistant farming in arid and semi-arid areas of northwest China (<xref ref-type="bibr" rid="ref45">Zhao et al., 2017</xref>). Gravel mulching involves spreading a mixture of sand and gravel washed down from alluvial fans to form a 10 to 20&#x2009;cm thick surface layer on farmland (<xref ref-type="bibr" rid="ref44">Zhao et al., 2016</xref>, <xref ref-type="bibr" rid="ref46">2020</xref>). This method can effectively inhibit evaporation, and improve water storage and moisture conservation. Gravel-mulched land in China is mainly distributed in the arid and semi-arid climate transition zone of Gansu and Ningxia provinces. The vegetation types are mostly desert or desert steppe in this region. Vegetation degradation and land desertification have seriously affected the socio-economic development of the region. Since 2004, the Chinese government has widely promoted this technology by means of subsidies and encouraged planting watermelon (<italic>Citrullus lanatus</italic> (Thunb.) Matsum. &#x0026; Nakai) on gravel-mulched fields. Because of the long sunshine hours and the large temperature difference between day and night during the growth period, the watermelon grown from the stone crevices is crisp., fleshy and high in sugar (<xref ref-type="bibr" rid="ref26">Ren et al., 2023</xref>). At the same time, it absorbs the trace element selenium in the sand and gravel, and is actively sought after in the market, which in turn has given birth to a unique selenium sand melon industry. However, long-term watermelon continuous cropping leads to drastic shifts in soil bacterial community composition (<xref ref-type="bibr" rid="ref10">Gu et al., 2022</xref>), soil mineral deficiencies, and the ecological environment was severely negatively impacted. Watermelon production has declined (<xref ref-type="bibr" rid="ref32">Wu et al., 2022</xref>), and people began to look for other crops to grow.</p>
<p><italic>L. japonica</italic> commonly known as &#x201C;Ren Dong,&#x201D; has been widely used in traditional medicine in East Asian countries for thousands of years. Its dry flower buds, leaves, and stems are rich in flavonoids, polysaccharides and other components, which have a broad spectrum of antioxidant, anti-carcinogenic, anti-inflammatory, and anti- bacterial effects (<xref ref-type="bibr" rid="ref38">Yang et al., 2017</xref>; <xref ref-type="bibr" rid="ref28">Tang et al., 2021</xref>). <italic>L. japonica</italic> extract is widely used in cosmetics, pharmacological preparations, food, and animal husbandry (<xref ref-type="bibr" rid="ref15">Li et al., 2020</xref>; <xref ref-type="bibr" rid="ref41">Zhang X. et al., 2022</xref>; <xref ref-type="bibr" rid="ref39">Yang et al., 2023</xref>). <italic>L. japonica</italic> has strong adaptability (<xref ref-type="bibr" rid="ref29">Thanabhorn et al., 2006</xref>; <xref ref-type="bibr" rid="ref37">Yan et al., 2016</xref>), is tolerant of severe cold and drought, and does not require high soil nutrient conditions. Cultivation of <italic>L. japonica</italic> can effectively improve soil nutrients, prevent soil erosion, and fertilize the soil, and has great potential for improvement of the ecological environment and economic development of the gravel-mulched land (<xref ref-type="bibr" rid="ref29">Thanabhorn et al., 2006</xref>; <xref ref-type="bibr" rid="ref38">Yang et al., 2017</xref>). Because of its good economic benefits and the emergence of obstacles associated with continuous watermelon production, local enterprises began planting 33.3&#x2009;ha of <italic>L. japonica</italic> in 2017, and the sales amounted to more than 960,000 yuan in 2018, reaching a gratifying achievement of one-year investment recovery; in 2019, the planting area was expanded to 66.7&#x2009;ha. The local government began to encourage the people living locally to plant <italic>L. japonica</italic>. By 2023, the cropped area of <italic>L. japonica</italic> was 2000&#x2009;ha, with a yield of more than 600&#x2009;kg&#x2022;ha<sup>&#x2212;1</sup> of high-quality dried flowers, a total output value of nearly 192 million yuan. <italic>L. japonica</italic> has truly become the &#x2018;rich flower&#x2019; of the masses in Zhongwei City, Ningxia, China.</p>
<p>Currently, research on gravel-mulched land has primarily centered on the effects of soil water infiltration and evaporation (<xref ref-type="bibr" rid="ref34">Xie et al., 2006</xref>), soil nutrients (<xref ref-type="bibr" rid="ref25">Qiu et al., 2015</xref>), fertilization (<xref ref-type="bibr" rid="ref2">Bao et al., 2022</xref>) and sand mulching (<xref ref-type="bibr" rid="ref24">Qiu et al., 2023</xref>) on crops. Our hypothesis was that planting <italic>L. japonica</italic> will lead to longer-term positive effect on soil microbes, soil enzyme activity and nutrient cycling. To test this hypothesis, a field experiment was conducted in a typical gravel-mulched land to compare growing <italic>L. japonica</italic> for 1&#x2009;year, 2&#x2009;years and 4&#x2009;years with a control with natural shrub vegetation. The specific objectives of the current study were to determine the effects of different years of growing <italic>L. japonica</italic> on (i) the soil properties, and (ii) the composition of the bacterial community of <italic>L. japonica</italic> rhizosphere soil in a gravel-mulched land.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Site description</title>
<p>The research site is in the Xiangshan gravel-sand area (E105&#x00B0;15&#x2032;, N36&#x00B0;06&#x2032;) of Zhongwei City, Ningxia, China, which has a classic continental weather pattern with 189.5&#x2009;mm precipitation and 2,400&#x2009;mm potential evapotranspiration. In this field, the soil structure is loose, water is easily infiltrated and susceptible to evaporation, leading to droughts, sand storms, soil desertification and other natural disasters. The natural vegetation coverage is generally less than 20%, and the vegetation types are dominated by herbs and dry shrubs with low and highly unstable productivity. Land in the Xiangshan gravel-sand area has been used to for monoculture production of watermelon. Since 2017, local enterprises have gradually switched to planting <italic>L. japonica.</italic> The variety of <italic>L. japonica</italic> in the test site was &#x201C;Beihua No. 2,&#x201D; provided by Zhongwei Sunshine Muchang Agriculture and Pasture Company Ltd.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Experimental design and field management</title>
<p>The experimental design was a randomized complete block (RCB) design with 3 replicates and four treatments; each plot had dimensions of 5.8&#x2009;m&#x2009;&#x00D7;&#x2009;4.4&#x2009;m. The treatments were control or check with no <italic>L. japonica</italic> cuttings planted (CK), and <italic>L. japonica</italic> cuttings planted in different years: 2020 (T1), 2019 (T2) and 2017 (T3) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Plots were covered by about 20-cm-deep layer of gravel (5&#x2013;8&#x2009;cm diameter) mulch. <italic>L. japonica</italic> cuttings (30&#x2009;cm height) were manually transplanted each year at the end of March to the field after cultivation. Transplanting consisted of digging a hole depth approximately 20&#x2009;cm, putting the cuttings into hole vertically, backfilling with loose fine soil and compacting, and then covering with a thin layer of gravel-sand. Because of extreme water shortage, limited or no irrigation was applied throughout the growing season, watering was only done 24&#x2009;h and 1&#x2009;week after transplanting. Row spacing was 2&#x2009;m, plant spacing was 1&#x2009;m, and the planting density was 5,000 plants&#x2022;ha<sup>&#x2212;1</sup>. The experiment followed local recommended management practices for weed control and other agronomic operations.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Different years of <italic>L. japonica</italic> cultivation in the experimental field.</p>
</caption>
<graphic xlink:href="fmicb-14-1225503-g001.tif"/>
</fig>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Sample collection</title>
<p>In May 2021, the plant residue and stones were removed from the soil surface and soil samples were collected from 0&#x2013;20 cm soil layers using a soil auger (5&#x2009;cm internal diameter) and three sampling points were randomly chosen between two adjacent rows within each plot (<xref ref-type="bibr" rid="ref19">Ma et al., 2022</xref>), The collected soil samples were passed through a 2&#x2009;mm mesh sieve and divided into two parts. One part was frozen at &#x2212;80&#x00B0;C to determine the soil microbial microbiome, while the other part was air-dried indoors to determine other soil factors.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Determination of soil characteristics</title>
<p>The soil pH was measured by PHS-3C (Leici, China). The SOC (soil organic carbon) concentration was measured by an Elemental rapid CS cube analyzer (Elementar, Germany). The AN (available nitrogen) concentration in soil was measured by the alkaline diffusion method. The AP (available phosphorous) concentration was measured by NaHCO<sub>3</sub> leaching and an AA3 flow analyzer (Seal, Germany). Finally, the AK (available potassium) concentration was measured by NaOH fusion-flame photometry (<xref ref-type="bibr" rid="ref23">Pansu and Gautheyrou, 2007</xref>). Soil phosphatase, catalase and urease activities were measured by disodium phenyl phosphate colorimetry, potassium permanganate titration and indophenol-blue colorimetry, respectively (<xref ref-type="bibr" rid="ref11">Guan et al., 1986</xref>).</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Soil microbial community analysis</title>
<p>The genomic DNA was extracted by the CTAB or SDS method, and then the purity and concentration of DNA were detected by agarose gel electrophoresis. The diluted genomic DNA was used as a template. Primers were 515F and 806R. Phusion &#x00AE; High-Fidelity PCR Master Mix with GC Buffer and high-efficiency high-fidelity enzyme (New England Biolabs, United States) were used for PCR. PCR products were detected by 2% agarose gel electrophoresis. The target bands were recovered using the gel recovery kit provided by QIAGEN. The library was constructed using the TruSeq &#x00AE; DNA PCR-Free Sample Preparation Kit. The constructed library was quantified by a Qubit fluorometer and qPCR. Illumina NovaSeq 6,000 platform (Biomarker Technologies, Beijing, China) was used for sequencing.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Data analysis and processing</title>
<p>The data presented in this study were expressed as mean&#x2009;&#x00B1;&#x2009;standard deviation, and statistical analyses were conducted in R software. Differences in soil properties, enzyme activities and bacterial diversity were calculated with a one-way analysis of variance (ANOVA). The alpha-diversity was evaluated using the ACE, Shannon, Simpson and Chao1 diversity indices. To examine the correlation between soil characteristics and the diversity of the soil microorganism community and the abundance of dominant phyla, Canoco5.0 and &#x201C;vegan&#x201D; packages were utilized for redundancy analysis (RDA) and Mantel test. Throughout this paper, probability levels of <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 and&#x2009;&#x003C;&#x2009;0.01 were considered to be statistically significant and highly significant, respectively.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<sec id="sec10">
<label>3.1</label>
<title>Chemical indicators and enzyme activities</title>
<p>With an increase in cultivation years, there was a significant decrease in soil pH, while the other soil characteristics showed an annual increase (<xref ref-type="table" rid="tab1">Table 1</xref>). The soil pH in CK and T1 (both 9.70) was significantly higher than that in T2 and T3. The SOC in T3 and T2 increased by 70 and 65% compared with CK, respectively. All of AN, AK and AP concentrations were highest in T3, while CK exhibited the lowest levels. Moreover, both urease and phosphatase activities were highest in T3, and were significantly higher by 560 and 37% compared with CK. In contrast, catalase activity was comparable in T3, T2, and T1, and were significantly higher by 31&#x2013;35% compared with CK.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Physico-chemical indicators and enzyme activities of soils in different cultivation years.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatments</th>
<th align="center" valign="top">pH</th>
<th align="center" valign="top">total organic carbon (g&#x2022;kg<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">Available nitrogen (mg&#x2022;kg<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">Available phosphorus (mg&#x2022;kg<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">Available potassium (mg&#x2022;kg<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">Urease activity [mg&#x2022;(g&#x2022;d)<sup>&#x2212;1</sup>]</th>
<th align="center" valign="top">Phosphatase activity [mg&#x2022; (g&#x2022;d)<sup>&#x2212;1</sup>]</th>
<th align="center" valign="top">Catalase activity [mL&#x2022;(g&#x2022;20&#x2009;min)<sup>&#x2212;1</sup>]</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">CK</td>
<td align="char" valign="top" char="&#x00B1;">9.70 &#x00B1; 0.06a</td>
<td align="char" valign="top" char="&#x00B1;">0.70 &#x00B1; 0.05b</td>
<td align="char" valign="top" char="&#x00B1;">14.87 &#x00B1; 1.00c</td>
<td align="char" valign="top" char="&#x00B1;">16.02 &#x00B1; 1.08c</td>
<td align="char" valign="top" char="&#x00B1;">80.29 &#x00B1; 5.41c</td>
<td align="char" valign="top" char="&#x00B1;">0.05 &#x00B1; 0.00c</td>
<td align="char" valign="top" char="&#x00B1;">2.74 &#x00B1; 0.18b</td>
<td align="char" valign="top" char="&#x00B1;">34.78 &#x00B1; 2.34b</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="char" valign="top" char="&#x00B1;">9.70 &#x00B1; 0.06a</td>
<td align="char" valign="top" char="&#x00B1;">0.92 &#x00B1; 0.06ab</td>
<td align="char" valign="top" char="&#x00B1;">31.31 &#x00B1; 2.05b</td>
<td align="char" valign="top" char="&#x00B1;">17.93 &#x00B1; 1.18c</td>
<td align="char" valign="top" char="&#x00B1;">132.70 &#x00B1; 8.72b</td>
<td align="char" valign="top" char="&#x00B1;">0.18 &#x00B1; 0.01b</td>
<td align="char" valign="top" char="&#x00B1;">3.06 &#x00B1; 0.20ab</td>
<td align="char" valign="top" char="&#x00B1;">45.74 &#x00B1; 3.00a</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="char" valign="top" char="&#x00B1;">9.20 &#x00B1; 0.06b</td>
<td align="char" valign="top" char="&#x00B1;">1.16 &#x00B1; 0.08a</td>
<td align="char" valign="top" char="&#x00B1;">31.20 &#x00B1; 2.04b</td>
<td align="char" valign="top" char="&#x00B1;">31.36 &#x00B1; 2.06b</td>
<td align="char" valign="top" char="&#x00B1;">137.75 &#x00B1; 9.04b</td>
<td align="char" valign="top" char="&#x00B1;">0.23 &#x00B1; 0.02ab</td>
<td align="char" valign="top" char="&#x00B1;">3.47 &#x00B1; 0.23ab</td>
<td align="char" valign="top" char="&#x00B1;">45.89 &#x00B1; 3.01a</td>
</tr>
<tr>
<td align="left" valign="top" char="&#x00B1;">T3</td>
<td align="char" valign="top" char="&#x00B1;">9.00 &#x00B1; 0.06c</td>
<td align="char" valign="top" char="&#x00B1;">1.19 &#x00B1; 0.23a</td>
<td align="char" valign="top" char="&#x00B1;">44.39 &#x00B1; 3.70a</td>
<td align="char" valign="top" char="&#x00B1;">81.54 &#x00B1; 4.46a</td>
<td align="char" valign="top" char="&#x00B1;">172.90 &#x00B1; 9.45a</td>
<td align="char" valign="top" char="&#x00B1;">0.33 &#x00B1; 0.06a</td>
<td align="char" valign="top" char="&#x00B1;">3.77 &#x00B1; 0.31a</td>
<td align="char" valign="top" char="&#x00B1;">47.10 &#x00B1; 0.92a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The means in the same column followed by the same letter indicate no significant differences according to the Tukey test for multiple comparisons (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>OTUs analysis of the microbial community</title>
<p>To identify the dominant OTUs in different treatments, both the overlap and the distribution of the 5,910 most abundant OTUs across all samples were determined (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Venn diagram analysis identified 1,566, 1,579, 1,609 and 1,156 OTUs in the T3, T2, T1 and CK groups, respectively. There were 1,034 common OTUs and 17, 33, 20, and 26 unique OTUs, accounting for 1.66, 1.27, 2.05, and 1.47% of total OTUs in T3, T2, T1 and CK groups, respectively. The number of OTUs in T3, T2 and T1 increased significantly compared with CK.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>OTUs analysis of bacteria in rhizosphere soil following different years of <italic>L. japonica</italic> cultivation.</p>
</caption>
<graphic xlink:href="fmicb-14-1225503-g002.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>3.3</label>
<title>Composition of the bacterial community</title>
<p>To study the differences in soil microbial communities following different years of <italic>L. japonica</italic> cultivation, the dominant bacteria with a relative abundance of more than 1% were plotted (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The CK, T1, T2 and T3 soil bacteria comprised 8 phyla, including <italic>Firmicutes</italic>, <italic>Proteobacteria</italic>, <italic>Bacteroidetes</italic>, <italic>Actinobacteria</italic>, <italic>Fusobacteria</italic>, <italic>Acidobacteria</italic>, <italic>Epsilonbacteraeota</italic> and <italic>Gemmatimonadetes</italic>, accounting for 94.73&#x2013;96.72% of the relative abundance. Among them, the relative abundance of <italic>Firmicutes</italic>, <italic>Bacteroidetes</italic> and <italic>Fusobacteria</italic> was highest in CK (36.24, 13.52 and 8.55%) and lowest in T2 (32.07, 12.48 and 7.16%, respectively). The abundance in CK was significantly higher than in T2. The relative abundance of <italic>Acidobacteria</italic> was highest in T2 (4.82%), and was significantly higher than CK (1.30%) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Relative abundance of bacteria at phylum levels in rhizosphere soil as affected by different years of <italic>L. japonica</italic> cultivation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">CK</th>
<th align="center" valign="top">T1</th>
<th align="center" valign="top">T2</th>
<th align="center" valign="top">T3</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Firmicutes</td>
<td align="char" valign="bottom" char="&#x00B1;">36.24 &#x00B1; 0.22a</td>
<td align="char" valign="bottom" char="&#x00B1;">32.07 &#x00B1; 1.28b</td>
<td align="char" valign="bottom" char="&#x00B1;">33.27 &#x00B1; 1.19ab</td>
<td align="char" valign="bottom" char="&#x00B1;">33.25 &#x00B1; 1.13ab</td>
</tr>
<tr>
<td align="left" valign="bottom">Proteobacteria</td>
<td align="char" valign="bottom" char="&#x00B1;">23.49 &#x00B1; 0.45a</td>
<td align="char" valign="bottom" char="&#x00B1;">23.34 &#x00B1; 0.54a</td>
<td align="char" valign="bottom" char="&#x00B1;">23.26 &#x00B1; 0.23a</td>
<td align="char" valign="bottom" char="&#x00B1;">22.9 &#x00B1; 0.07a</td>
</tr>
<tr>
<td align="left" valign="bottom">Bacteroidetes</td>
<td align="char" valign="bottom" char="&#x00B1;">13.52 &#x00B1; 0.17a</td>
<td align="char" valign="bottom" char="&#x00B1;">12.48 &#x00B1; 0.33b</td>
<td align="char" valign="bottom" char="&#x00B1;">12.72 &#x00B1; 0.33b</td>
<td align="char" valign="bottom" char="&#x00B1;">12.6 &#x00B1; 0.25b</td>
</tr>
<tr>
<td align="left" valign="bottom">Actinobacteria</td>
<td align="char" valign="bottom" char="&#x00B1;">10.58 &#x00B1; 0.20a</td>
<td align="char" valign="bottom" char="&#x00B1;">10.36 &#x00B1; 0.16a</td>
<td align="char" valign="bottom" char="&#x00B1;">11.01 &#x00B1; 0.31a</td>
<td align="char" valign="bottom" char="&#x00B1;">10.81 &#x00B1; 0.14a</td>
</tr>
<tr>
<td align="left" valign="bottom">Fusobacteria</td>
<td align="char" valign="bottom" char="&#x00B1;">8.55 &#x00B1; 0.36a</td>
<td align="char" valign="bottom" char="&#x00B1;">7.16 &#x00B1; 0.05b</td>
<td align="char" valign="bottom" char="&#x00B1;">7.54 &#x00B1; 0.34b</td>
<td align="char" valign="bottom" char="&#x00B1;">7.21 &#x00B1; 0.23b</td>
</tr>
<tr>
<td align="left" valign="bottom">Acidobacteria</td>
<td align="char" valign="bottom" char="&#x00B1;">1.3 &#x00B1; 0.22b</td>
<td align="char" valign="bottom" char="&#x00B1;">4.82 &#x00B1; 1.18a</td>
<td align="char" valign="bottom" char="&#x00B1;">3.43 &#x00B1; 0.62ab</td>
<td align="char" valign="bottom" char="&#x00B1;">3.76 &#x00B1; 0.80ab</td>
</tr>
<tr>
<td align="left" valign="bottom">Epsilonbacteraeota</td>
<td align="char" valign="bottom" char="&#x00B1;">2.89 &#x00B1; 0.10a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.53 &#x00B1; 0.14a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.64 &#x00B1; 0.05a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.56 &#x00B1; 0.20a</td>
</tr>
<tr>
<td align="left" valign="bottom">Gemmatimonadetes</td>
<td align="char" valign="bottom" char="&#x00B1;">0.15 &#x00B1; 0.03b</td>
<td align="char" valign="bottom" char="&#x00B1;">1.98 &#x00B1; 0.61a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.7 &#x00B1; 0.43a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.93 &#x00B1; 0.41a</td>
</tr>
<tr>
<td align="left" valign="bottom">Chloroflexi</td>
<td align="char" valign="bottom" char="&#x00B1;">0.56 &#x00B1; 0.15a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.11 &#x00B1; 0.23a</td>
<td align="char" valign="bottom" char="&#x00B1;">1 &#x00B1; 0.23a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.21 &#x00B1; 0.26a</td>
</tr>
<tr>
<td align="left" valign="bottom">Patescibacteria</td>
<td align="char" valign="bottom" char="&#x00B1;">0.91 &#x00B1; 0.04a</td>
<td align="char" valign="bottom" char="&#x00B1;">0.93 &#x00B1; 0.02a</td>
<td align="char" valign="bottom" char="&#x00B1;">0.88 &#x00B1; 0.02a</td>
<td align="char" valign="bottom" char="&#x00B1;">0.89 &#x00B1; 0.01a</td>
</tr>
<tr>
<td align="left" valign="bottom">Others</td>
<td align="char" valign="bottom" char="&#x00B1;">1.82 &#x00B1; 0.11b</td>
<td align="char" valign="bottom" char="&#x00B1;">3.23 &#x00B1; 0.41a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.56 &#x00B1; 0.14ab</td>
<td align="char" valign="bottom" char="&#x00B1;">2.9 &#x00B1; 0.26a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The means in the same line followed by the same letter indicate no significant differences according to the Tukey test for multiple comparisons (<italic>p</italic> &#x003E;&#x2009;0.05).</p>
</table-wrap-foot>
</table-wrap>
<p>The relative abundances of the bacterial population in the rhizosphere of <italic>L. japonica</italic> which were greater than 1% at the genus level, were classified and were composed of 16 genera (<xref ref-type="fig" rid="fig3">Figure 3</xref>). In comparison with the control group (68.44%), the relative abundance of T1 (62.94%), T2 (63.38%), and T3 (62.42%) decreased by 5.06&#x2013;6.02%, indicating that the relative abundance of other soil bacterial genera increased in T1, T2 and T3. The relative abundances of <italic>Streptococcus</italic>, <italic>Veillonella</italic>, <italic>Rothia</italic>, <italic>Fusobacterium</italic>, <italic>Neisseria</italic>, <italic>Leptotrichia</italic>, <italic>Corynebacterium</italic> and <italic>Actinomyces</italic> were highest in CK (13.32, 7.11, 6.80, 5.80, 5.04, 2.61, 1.55 and 1.39%, respectively). The relative abundances of <italic>Fusobacterium</italic>, <italic>Corynebacterium</italic> and <italic>Actinomyces</italic> were significantly higher in CK than T1 and T2. The relative abundance of the remaining bacteria was significantly higher in CK than in T1, T2 and T3 (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Relative abundance of bacteria at phylum (left) and genus (right) levels in rhizosphere soil following different years of <italic>L. japonica</italic> cultivation.</p>
</caption>
<graphic xlink:href="fmicb-14-1225503-g003.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Relative abundance of bacteria at genus levels in rhizosphere soil as affected by different years of <italic>L. japonica</italic> cultivation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">CK</th>
<th align="center" valign="top">T1</th>
<th align="center" valign="top">T2</th>
<th align="center" valign="top">T3</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Streptococcus</td>
<td align="char" valign="bottom" char="&#x00B1;">13.32 &#x00B1; 0.43a</td>
<td align="char" valign="bottom" char="&#x00B1;">11.46 &#x00B1; 0.40b</td>
<td align="char" valign="bottom" char="&#x00B1;">11.94 &#x00B1; 0.27b</td>
<td align="char" valign="bottom" char="&#x00B1;">11.41 &#x00B1; 0.45b</td>
</tr>
<tr>
<td align="left" valign="middle">Lactobacillus</td>
<td align="char" valign="bottom" char="&#x00B1;">8.47 &#x00B1; 0.28a</td>
<td align="char" valign="bottom" char="&#x00B1;">8.05 &#x00B1; 0.35a</td>
<td align="char" valign="bottom" char="&#x00B1;">8.05 &#x00B1; 0.66a</td>
<td align="char" valign="bottom" char="&#x00B1;">8.55 &#x00B1; 0.24a</td>
</tr>
<tr>
<td align="left" valign="middle">Veillonella</td>
<td align="char" valign="bottom" char="&#x00B1;">7.12 &#x00B1; 0.07a</td>
<td align="char" valign="bottom" char="&#x00B1;">6.08 &#x00B1; 0.33b</td>
<td align="char" valign="bottom" char="&#x00B1;">6.31 &#x00B1; 0.12b</td>
<td align="char" valign="bottom" char="&#x00B1;">6.16 &#x00B1; 0.20b</td>
</tr>
<tr>
<td align="left" valign="middle">Rothia</td>
<td align="char" valign="bottom" char="&#x00B1;">6.80 &#x00B1; 0.18a</td>
<td align="char" valign="bottom" char="&#x00B1;">5.81 &#x00B1; 0.32b</td>
<td align="char" valign="bottom" char="&#x00B1;">5.94 &#x00B1; 0.10b</td>
<td align="char" valign="bottom" char="&#x00B1;">5.48 &#x00B1; 0.21b</td>
</tr>
<tr>
<td align="left" valign="middle">Fusobacterium</td>
<td align="char" valign="bottom" char="&#x00B1;">5.80 &#x00B1; 0.18a</td>
<td align="char" valign="bottom" char="&#x00B1;">4.93 &#x00B1; 0.02b</td>
<td align="char" valign="bottom" char="&#x00B1;">5.24 &#x00B1; 0.33ab</td>
<td align="char" valign="bottom" char="&#x00B1;">5.05 &#x00B1; 0.16b</td>
</tr>
<tr>
<td align="left" valign="middle">Neisseria</td>
<td align="char" valign="bottom" char="&#x00B1;">5.04 &#x00B1; 0.07a</td>
<td align="char" valign="bottom" char="&#x00B1;">4.56 &#x00B1; 0.13b</td>
<td align="char" valign="bottom" char="&#x00B1;">4.60 &#x00B1; 0.12b</td>
<td align="char" valign="bottom" char="&#x00B1;">4.58 &#x00B1; 0.19b</td>
</tr>
<tr>
<td align="left" valign="middle">Haemophilus</td>
<td align="char" valign="bottom" char="&#x00B1;">4.76 &#x00B1; 0.04a</td>
<td align="char" valign="bottom" char="&#x00B1;">4.38 &#x00B1; 0.27a</td>
<td align="char" valign="bottom" char="&#x00B1;">4.20 &#x00B1; 0.16a</td>
<td align="char" valign="bottom" char="&#x00B1;">4.23 &#x00B1; 0.16a</td>
</tr>
<tr>
<td align="left" valign="middle">Capnocytophaga</td>
<td align="char" valign="bottom" char="&#x00B1;">3.26 &#x00B1; 0.17a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.88 &#x00B1; 0.07a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.98 &#x00B1; 0.09a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.94 &#x00B1; 0.09a</td>
</tr>
<tr>
<td align="left" valign="middle">Prevotella_7</td>
<td align="char" valign="bottom" char="&#x00B1;">2.97 &#x00B1; 0.11a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.76 &#x00B1; 0.05a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.71 &#x00B1; 0.09a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.77 &#x00B1; 0.05a</td>
</tr>
<tr>
<td align="left" valign="middle">Leptotrichia</td>
<td align="char" valign="bottom" char="&#x00B1;">2.61 &#x00B1; 0.18a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.11 &#x00B1; 0.04b</td>
<td align="char" valign="bottom" char="&#x00B1;">2.17 &#x00B1; 0.02b</td>
<td align="char" valign="bottom" char="&#x00B1;">2.03 &#x00B1; 0.08b</td>
</tr>
<tr>
<td align="left" valign="middle">Prevotella</td>
<td align="char" valign="bottom" char="&#x00B1;">2.04 &#x00B1; 0.09a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.96 &#x00B1; 0.11a</td>
<td align="char" valign="bottom" char="&#x00B1;">2.02 &#x00B1; 0.10a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.94 &#x00B1; 0.06a</td>
</tr>
<tr>
<td align="left" valign="middle">uncultured_bacterium_c_Subgroup_6</td>
<td align="char" valign="bottom" char="&#x00B1;">0.38 &#x00B1; 0.11b</td>
<td align="char" valign="bottom" char="&#x00B1;">2.75 &#x00B1; 0.80a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.80 &#x00B1; 0.42ab</td>
<td align="char" valign="bottom" char="&#x00B1;">2.21 &#x00B1; 0.57ab</td>
</tr>
<tr>
<td align="left" valign="middle">uncultured_bacterium_f_Sedimenticolaceae</td>
<td align="char" valign="bottom" char="&#x00B1;">1.84 &#x00B1; 0.09a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.71 &#x00B1; 0.11a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.73 &#x00B1; 0.09a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.64 &#x00B1; 0.10a</td>
</tr>
<tr>
<td align="left" valign="middle">Corynebacterium</td>
<td align="char" valign="bottom" char="&#x00B1;">1.56 &#x00B1; 0.06a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.32 &#x00B1; 0.04b</td>
<td align="char" valign="bottom" char="&#x00B1;">1.41 &#x00B1; 0.07ab</td>
<td align="char" valign="bottom" char="&#x00B1;">1.26 &#x00B1; 0.08b</td>
</tr>
<tr>
<td align="left" valign="middle">Actinomyces</td>
<td align="char" valign="bottom" char="&#x00B1;">1.39 &#x00B1; 0.02a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.15 &#x00B1; 0.08b</td>
<td align="char" valign="bottom" char="&#x00B1;">1.26 &#x00B1; 0.01ab</td>
<td align="char" valign="bottom" char="&#x00B1;">1.16 &#x00B1; 0.06b</td>
</tr>
<tr>
<td align="left" valign="middle">Sulfurovum</td>
<td align="char" valign="bottom" char="&#x00B1;">1.08 &#x00B1; 0.05a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.04 &#x00B1; 0.09a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.03 &#x00B1; 0.02a</td>
<td align="char" valign="bottom" char="&#x00B1;">1.01 &#x00B1; 0.06a</td>
</tr>
<tr>
<td align="left" valign="middle">Others</td>
<td align="char" valign="bottom" char="&#x00B1;">31.55 &#x00B1; 1.28b</td>
<td align="char" valign="bottom" char="&#x00B1;">37.06 &#x00B1; 1.53a</td>
<td align="char" valign="bottom" char="&#x00B1;">36.61 &#x00B1; 1.63a</td>
<td align="char" valign="bottom" char="&#x00B1;">37.58 &#x00B1; 1.50a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The means in the same line followed by the same letter indicate no significant differences according to the Tukey test for multiple comparisons (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.4</label>
<title>Bacterial community diversity</title>
<p>The soil bacterial diversity indices for different years of cultivation showed the same trend (<xref ref-type="table" rid="tab4">Table 4</xref>). In T1, T2 and T3, the soil bacteria ACE index (1,503, 1,465 and 1,487), the Chao1 index (1,520, 1,495 and 1,505), the Simpson index (all 0.97), and the Shannon-Wiener index (all 7.0) were significantly higher than CK. The planting <italic>L. japonica</italic> formed a cohesive group, which was significantly separated from the treatment with no <italic>L. japonica</italic> cuttings planted (CK) (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Soil bacterial community diversity following different years of cultivation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatments</th>
<th align="center" valign="top">ACE index</th>
<th align="center" valign="top">Chao1 index</th>
<th align="center" valign="top">Simpson index</th>
<th align="center" valign="top">Shannon-Wiener index</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">CK</td>
<td align="char" valign="top" char="&#x00B1;">1048.44 &#x00B1; 45.90b</td>
<td align="char" valign="top" char="&#x00B1;">1104.90 &#x00B1; 43.29b</td>
<td align="char" valign="top" char="&#x00B1;">0.96 &#x00B1; 0.00b</td>
<td align="char" valign="top" char="&#x00B1;">6.56 &#x00B1; 0.09b</td>
</tr>
<tr>
<td align="left" valign="top">T1</td>
<td align="char" valign="top" char="&#x00B1;">1502.98 &#x00B1; 24.07a</td>
<td align="char" valign="top" char="&#x00B1;">1520.32 &#x00B1; 30.62a</td>
<td align="char" valign="top" char="&#x00B1;">0.97 &#x00B1; 0.00a</td>
<td align="char" valign="top" char="&#x00B1;">7.24 &#x00B1; 0.16a</td>
</tr>
<tr>
<td align="left" valign="top">T2</td>
<td align="char" valign="top" char="&#x00B1;">1464.73 &#x00B1; 31.75a</td>
<td align="char" valign="top" char="&#x00B1;">1495.39 &#x00B1; 38.37a</td>
<td align="char" valign="top" char="&#x00B1;">0.97 &#x00B1; 0.00a</td>
<td align="char" valign="top" char="&#x00B1;">7.14 &#x00B1; 0.16a</td>
</tr>
<tr>
<td align="left" valign="top">T3</td>
<td align="char" valign="top" char="&#x00B1;">1487.28 &#x00B1; 43.78a</td>
<td align="char" valign="top" char="&#x00B1;">1504.90 &#x00B1; 45.54a</td>
<td align="char" valign="top" char="&#x00B1;">0.97 &#x00B1; 0.00a</td>
<td align="char" valign="top" char="&#x00B1;">7.23 &#x00B1; 0.15a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The means in the same column followed by the same letter indicate no significant differences according to the Tukey test for multiple comparisons (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05).</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Beta diversity was analyzed using NMDS ordinations of Binary_Jaccard similarities calculated based on relative OTU abundances of the four different treatments.</p>
</caption>
<graphic xlink:href="fmicb-14-1225503-g004.tif"/>
</fig>
</sec>
<sec id="sec14">
<label>3.5</label>
<title>Redundancy analysis of bacteria and soil factors</title>
<p>The redundancy analysis showed significant relationships among soil organic carbon, available nitrogen, available phosphorus, available potassium, urease activity, phosphatase activity, catalase activity, and bacterial community diversity (<xref ref-type="fig" rid="fig5">Figure 5</xref>). All soil parameters were positively correlated with each other, except pH which was negatively correlated with the other parameters. The phyla <italic>Actinobacteria</italic>, <italic>Acidobacteria</italic> and <italic>Gemmatimonadetes</italic> were positively correlated with soil catalase, phosphatase and urease activity and SOC, AK and AP, and were negatively correlated with pH. Conversely, the relative abundance of <italic>Firmicutes</italic>, <italic>Proteobacteria</italic>, <italic>Bacteroidetes</italic>, <italic>Fusobacteria</italic> and <italic>Epsilonbacteraeota</italic> showed a decreasing trend with increasing of soil parameters except pH. The Monte Carlo test showed that AK, urease and catalase activity all significantly affected soil bacterial diversity and relative abundance at the phylum level (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Redundancy analysis and mantel test plot of dominant bacterial community and environmental factors. SOC, Soil organic carbon; AN, Available nitrogen; AP, Available phosphorus; AK, Available potassium; Urea, Urease activity; Phos: Phosphatase activity; Catal, Catalase activity; A1&#x2009;~&#x2009;A8, <italic>Firmicute</italic>, <italic>Proteobacteria</italic>, <italic>Bacteroidetes</italic>, <italic>Actinobacteria</italic>, <italic>Fusobacteria</italic>, <italic>Acidobacteria</italic>, <italic>Epsilonbacteraeota</italic>, <italic>Gemmatimonadetes</italic>; ACE, ACE index; Shannon, Shannon-Wiener index; Simpson, Simpson index; Chao1, Chao1 index.</p>
</caption>
<graphic xlink:href="fmicb-14-1225503-g005.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<label>4</label>
<title>Discussion</title>
<p>Our study found that planting <italic>L. japonica</italic> significantly increased SOC, AN, AP, AK and enzyme activity (<xref ref-type="table" rid="tab1">Table 1</xref>). The improved soil quality parameters might be related to improved soil conditions resulting from greater input of plant residues, especially roots (<xref ref-type="bibr" rid="ref1">Abbott et al., 2018</xref>; <xref ref-type="bibr" rid="ref30">Upadhyay et al., 2022</xref>). The accumulation of these nutrients activated soil urease, phosphatase and catalase, boosting microbial activity, metabolism, and activity after planting <italic>L. japonica</italic> in the gravel-mulched land, with faster cycling and transformation of soil nutrients. Planting <italic>L. japonica</italic> increased the plant biomass and subsequent accumulation of the SOC, which could have affected pH (<xref ref-type="table" rid="tab1">Table 1</xref>). It is well-known that soils rich in SOC have a better buffer capacity to adjust the soil pH (<xref ref-type="bibr" rid="ref19">Ma et al., 2022</xref>). Moreover, the soil quality can be improved relatively quickly, alleviating the problems related to aeolian sandy soil and crop production in the region (<xref ref-type="bibr" rid="ref27">Scheibe et al., 2015</xref>). There were little to no statistically significant differences in any of those measured soil properties between plots planted 1, 2 or 4&#x2009;years ago.</p>
<p>Soil properties are among the most important factors shaping microbial communities (<xref ref-type="bibr" rid="ref33">Xi et al., 2022</xref>). Rhizosphere microbial populations are constantly exposed to both low and high molecular weight organic compounds exuded from roots, which may be affected by specific physical, chemical, and biological conditions and microbial activities (<xref ref-type="bibr" rid="ref35">Xie et al., 2019</xref>). Current evidence suggests that soil physical and chemical variables have a substantial impact on the microbial abundance and community diversity during land degradation (<xref ref-type="bibr" rid="ref16">Li J. et al., 2023</xref>). Research on red soil in southern China showed that pH, AP and AN significantly affected soil bacterial community structure (<xref ref-type="bibr" rid="ref21">Muneer et al., 2022</xref>). Moreover, in the alpine plateau of northern Tibet, variations in soil pH and SOC significantly affected composition of arbuscular mycorrhizal fungal communities (<xref ref-type="bibr" rid="ref4">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="ref47">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="ref40">Zhang M. et al., 2022</xref>). These studies overlap in their assertion that the change in soil microbial diversity composition and structure may be caused by change in soil characteristics. In the present study, soil nutrients and enzyme activities accounted for 93.63% of the changes in soil bacterial communities, among which available nitrogen, potassium, urease and catalase were significantly affected.</p>
<p>In this study, the most dominant bacterial phyla observed were <italic>Firmicutes</italic>, <italic>Proteobacteria</italic> and <italic>Bacteroidetes</italic> (<xref ref-type="fig" rid="fig3">Figure 3</xref>). There is a growing consensus that <italic>Bacteroidetes</italic>, as R-strategy flora, occupy a dominant position in the early stage of microbial community succession, and with the gradual maturity of microbial community succession, the relative abundance of K-strategy flora such as <italic>Acidobacteria</italic> gradually increases (<xref ref-type="bibr" rid="ref3">Chen et al., 2016</xref>). <italic>L. japonica</italic> treatment resulted in a significant improvement in the relative abundance of <italic>Acidobacteria,</italic> and resulted in a reduction in <italic>Bacteroidetes</italic> and <italic>Fusobacteria</italic> (<xref ref-type="fig" rid="fig3">Figure 3</xref>). In this respect, our study revealed that after <italic>L. japonica</italic> planting, the bacterial community transitioned from a rapidly growing copiotrophic group to a slowly growing oligotrophic group. After the cultivation of <italic>L. japonica</italic> in the gravel-mulched field, more plant residues are produced, and a large amount of cellulose is decomposed, creating a favorable environment for the <italic>Acidobacteria</italic> that can use cellulose. <italic>Acidobacteria</italic> have been shown to be closely related to soil pH regulation and the degradation of plant residue polymers (<xref ref-type="bibr" rid="ref36">Xu et al., 2020</xref>). This finding also accounts for the decrease in pH value to a certain extent (<xref ref-type="bibr" rid="ref33">Xi et al., 2022</xref>). In addition, <italic>L. japonica</italic> planting in the previous year significantly decreased the relative abundance <italic>of Firmicute</italic>. This finding indicates that <italic>L. japonica</italic> planting for a short-term would reduce the pathogenic bacteria belonging to <italic>Firmicute</italic> (<xref ref-type="bibr" rid="ref7">Ehrich et al., 1995</xref>).</p>
<p>After <italic>L. japonica</italic> planting, some bacteria at the genus level with relative abundance greater than 1.0% decreased, and those with less than 1.0% abundance increased significantly, which may be related to the significant improvement of soil physicochemical properties and increased bacterial abundance (<xref ref-type="bibr" rid="ref31">Urbanov&#x00E1; et al., 2015</xref>). Growing crops could provide more C and N to the soil for bacterial utilization through residual roots and litter, increase the number of microorganisms, change the bacterial community structure, and promote a change in the soil bacterial community composition.</p>
<p>Soil microbial diversity is a commonly used index to describe the stability of the microbial community, and is informative to fully reflect the significance of the soil environment on the microbial community and assess the health of terrestrial ecosystem (<xref ref-type="bibr" rid="ref6">Coyte et al., 2015</xref>). Our study showed that <italic>L. japonica</italic> planting increased the number of bacterial OTU (<xref ref-type="fig" rid="fig2">Figure 2</xref>) and diversity index (<xref ref-type="table" rid="tab2">Table 4</xref>) in the rhizosphere soil. This occurrence might be ascribed to the fact that rhizosphere soil bacteria can use the nutrients secreted by roots to grow and reproduce in the short term, and the diversity and richness of abundant communities gradually increase after long-term continuous cropping (<xref ref-type="bibr" rid="ref42">Zhang H. et al., 2022</xref>).</p>
<p>The effect observed in the soils might be mediated primarily via a change in the composition and structure of the vegetation present on both planted and non-planted plots (due to <italic>L. japonica</italic> becoming dominant) (<xref ref-type="bibr" rid="ref12">in &#x2018;t Zandt et al., 2023</xref>). After planting <italic>L. japonica</italic>, the nutrient substrates such as C, N and P in the soil were affected by roots and litter, and increased significantly (<xref ref-type="table" rid="tab1">Table 1</xref>), promoting bacterial growth in symbiotic groups. As a result of the impact of changes in land use on soil structure and nutrient availability, the configuration of the soil microbial community undergoes alterations (<xref ref-type="bibr" rid="ref9">Gschwend et al., 2021</xref>; <xref ref-type="bibr" rid="ref33">Xi et al., 2022</xref>; <xref ref-type="bibr" rid="ref14">Labouyrie et al., 2023</xref>). A study by <xref ref-type="bibr" rid="ref13">Jiang et al. (2022)</xref> on the rhizosphere soil of <italic>Torreya grandis</italic> cv. <italic>Merrillii</italic> showed that the effects of pH, organic matter, water-soluble SOC and AN and AP were significant on the dominant soil bacteria.</p>
<p>Overall, <italic>L. japonica</italic> planting significantly changed the soil microbial structure and diversity of the gravel-mulched land by affecting the soil characteristics and contributing significantly in shaping the diversity of microbial communities.</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<label>5</label>
<title>Conclusion</title>
<p>We found that growing <italic>L. japonica</italic> decreased soil pH, and increased SOC, AN and other nutrients and enzyme activities, with the highest levels observed after 4&#x2009;years. The improved soil environments gave rise to an increased soil bacterial community diversity. The main dominant phyla of soil bacteria were <italic>Firmicutes</italic>, <italic>Proteobacteria</italic> and <italic>Bacteroidetes</italic>. The relative abundance of <italic>Acidobacteria</italic> increased after planting <italic>L. japonica</italic>, and <italic>Firmicutes</italic>, <italic>Bacteroidetes</italic> and <italic>Fusobacteria</italic> decreased. Collectively, the planting <italic>L. japonica</italic> in the short term could be a low-cost strategy to improve soil nutrients availability and soil bacterial community diversity, and effectively restore degraded land while promoting the local economy in the gravel-mulched area.</p>
</sec>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The authors acknowledge that the data presented in this study must be deposited and made publicly available in an acceptable repository, prior to publication. The names of the repository/repositories and accession number(s) can be found at: NCBI &#x2013; PRJNA1044469.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>XW and BM developed the concept of this study and are main contributors to writing the manuscript, data analysis, and preparing figures. HL and YB performed all experiments. ML, NM, and LG contributed to the manuscript edit and review. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec19">
<title>Funding</title>
<p>This study was financially supported by Ningxia Hui Autonomous Region Agricultural Science and Technology Independent Innovation Funding Project (NGSB-2021-16), Natural Science Foundation of Ningxia Hui Autonomous Region (2022AAC03421), the sixth batch of autonomous region youth science and technology talents lift project, and ministry of Finance-Ministry of Agriculture and Rural Affairs: National Modern Agricultural Industry Technology System Funding (CARS-21).</p>
</sec>
<ack>
<p>We want to thank all the members of our team who have contributed by involvement in the experimental process.</p>
</ack>
<sec sec-type="COI-statement" id="sec20">
<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="sec100" 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>
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