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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.2023.1113072</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>Dietary <italic>Bacillus licheniformis</italic> shapes the foregut microbiota, improving nutrient digestibility and intestinal health in broiler chickens</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Han</surname> <given-names>Yunsheng</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="http://loop.frontiersin.org/people/1038858/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Jiaxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cai</surname> <given-names>Hongying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Daojie</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="http://loop.frontiersin.org/people/839021/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Hongwei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Peilong</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="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/791463/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Meng</surname> <given-names>Kun</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="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Feed Biotechnology of Ministry of Agriculture and Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences (CAAS)</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>National Engineering Research Center of Biological Feed</institution>, <addr-line>Beijin</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Chengde Academy of Agricultural and Forestry Sciences</institution>, <addr-line>Chengde</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jinxin Liu, Nanjing Agricultural University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Shiyu Tao, Huazhong Agricultural University, China; Liang Chen, Institute of Animal Sciences (CAAS), China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Kun Meng, <email>mengkun@caas.cn</email></corresp>
<corresp id="c002">Peilong Yang, <email>yangpeilong@caas.cn</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Microorganisms in Vertebrate Digestive Systems, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1113072</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Han, Xu, Wang, Cai, Li, Zhang, Yang and Meng.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Han, Xu, Wang, Cai, Li, Zhang, Yang and Meng</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><italic>Bacillus licheniformis</italic> is considered a potential alternative to antibiotic growth promoters of animal growth and health. However, the effects of <italic>Bacillus licheniformis</italic> on the foregut and hindgut microbiota, and their relationships with nutrient digestion and health, in broiler chickens remain unclear. In this study, we aimed to identify the effects of <italic>Bacillus licheniformis</italic> BCG on intestinal digestion and absorption, tight junctions, inflammation, and the fore- and hind-gut microbiota. We randomly assigned 240 1-day-old male AA broilers into three treatment groups: CT (basal diet), BCG1 (basal diet + 1.0 &#x00D7; 10<sup>8</sup> CFU/kg <italic>B. licheniformis</italic> BCG), and BCG2 (basal diet + 1.0 &#x00D7; 10<sup>9</sup> CFU/kg <italic>B. licheniformis</italic> BCG). On day 42, the jejunal and ileal chyme and mucosa were subjected to analysis of digestive enzyme activity, nutrient transporters, tight junctions, and signaling molecules associated with inflammation. The ileal and cecal chyme were subjected to microbiota analysis. Compared with the CT group, the <italic>B. licheniformis</italic> BCG group showed significantly greater jejunal and ileal &#x03B1;-amylase, maltase, and sucrase activity; moreover, the &#x03B1;-amylase activity in the BCG2 group was higher than that in the BCG1 group (<italic>P</italic> &#x003C; 0.05). The transcript abundance of FABP-1 and FATP-1 in the BCG2 group was significantly greater than that in the CT and BCG1 groups, and the GLUT-2 and LAT-1 relative mRNA levels were greater in the BCG2 group than the CT group (<italic>P</italic> &#x003C; 0.05). Dietary <italic>B. licheniformis</italic> BCG resulted in significantly higher ileal occludin, and lower IL-8 and TLR-4 mRNA levels than observed in the CT group (<italic>P</italic> &#x003C; 0.05). <italic>B. licheniformis</italic> BCG supplementation significantly decreased bacterial community richness and diversity in the ileum (<italic>P</italic> &#x003C; 0.05). Dietary <italic>B. licheniformis</italic> BCG shaped the ileac microbiota by increasing the prevalence of <italic>f_Sphingomonadaceae, Sphingomonas</italic>, and <italic>Limosilactobacillus</italic>, and contributed to nutrient digestion and absorption; moreover, it enhanced the intestinal barrier by increasing the prevalence of <italic>f_Lactobacillaceae, Lactobacillus</italic>, and <italic>Limosilactobacillus</italic>. Dietary <italic>B. licheniformis</italic> BCG decreased microbial community diversity by diminishing <italic>Desulfovibrio, Alistipes, Campylobacter, Vibrio, Streptococcus</italic>, and <italic>Escherichia coli</italic>-Shigella levels, and down-regulating inflammatory associated molecule expression. Therefore, dietary <italic>B. licheniformis</italic> BCG contributed to digestion and absorption of nutrients, enhanced the intestinal physical barrier, and decreased intestinal inflammation in broilers by decreasing microbial diversity and optimizing the microbiota structure.</p>
</abstract>
<kwd-group>
<kwd><italic>Bacillus licheniformis</italic> BCG</kwd>
<kwd>broiler</kwd>
<kwd>digestive enzyme activity</kwd>
<kwd>nutrient transporter</kwd>
<kwd>ileac and cecum microbiota</kwd>
<kwd>intestinal inflammation</kwd>
<kwd>tight junction</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="86"/>
<page-count count="14"/>
<word-count count="10334"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1. Introduction</title>
<p>In poultry production, broiler chickens are generally subjected to harsh and stressful conditions, particularly when they are reared at high stocking density, thus resulting in host stress and immune dysfunction (<xref ref-type="bibr" rid="B41">Kridtayopas et al., 2019</xref>). This subhealth status decreases the growth potential and causes intestinal dysfunction in broilers, and increases the economic costs of rearing. The intestines not only digest and absorb nutrients, but also are the largest immune organ (<xref ref-type="bibr" rid="B78">Zhang et al., 2022a</xref>). Trillions of microorganisms colonize the gastrointestinal tract; the total microbial number is 10 times the number of host somatic cells, and the collective number of genes is 150 times that in the host genome (<xref ref-type="bibr" rid="B10">Collins et al., 2012</xref>; <xref ref-type="bibr" rid="B68">Strandwitz, 2018</xref>). The intestinal microbiota co-develops with the host and participates in nutrient digestion, improves intestinal development and health, and regulates the body&#x2019;s metabolism and immunity function (<xref ref-type="bibr" rid="B45">Li et al., 2019</xref>; <xref ref-type="bibr" rid="B22">Han et al., 2020</xref>). Gut microbiota disorders have been associated with subhealth and disease. Broilers show a shift in the gut microbial profile when they experience subclinical forms of necrotic enteritis: the relative abundance of <italic>Firmicutes, Lactobacillus</italic>, and <italic>Bacteroides</italic> decreases, thus resulting in low host productivity (<xref ref-type="bibr" rid="B4">Antonissen et al., 2016</xref>). Other research has indicated that challenge with <italic>Salmonella typhimurium</italic> decreased <italic>Lactobacillus</italic> prevalence, damaged intestinal morphology, and subsequently decreased the growth performance of broilers (<xref ref-type="bibr" rid="B29">Jazi et al., 2019</xref>). The overall consensus is that the intestinal microbiota is interlinked with intestinal health and poultry growth.</p>
<p>Probiotics have been demonstrated to be an effective means of promoting animal growth and improving body health in the post-antibiotic era (<xref ref-type="bibr" rid="B51">Mingmongkolchai and Panbangred, 2018</xref>). <italic>Bacillus licheniformis</italic> (<italic>B. licheniformis</italic>) is a Gram-positive bacterium characterized by resistance to stresses such as high acidity and temperature. Because of these characteristics, <italic>B. licheniformis</italic> can be used in livestock production practices. <italic>Bacillus</italic> spores are metabolically dormant under harsh conditions including feed pelleting but subsequently grow in the favorable environment of the gastrointestinal tract after ingestion (<xref ref-type="bibr" rid="B38">Konieczka et al., 2018</xref>). <italic>B. licheniformis</italic> shows growth-promoting effects in poultry (<xref ref-type="bibr" rid="B20">Gadde et al., 2017</xref>). Moreover, <italic>B. licheniformis</italic> benefits broilers by protecting against heat stress and preventing necrotic enteritis (<xref ref-type="bibr" rid="B1">Abdelqader et al., 2020</xref>; <xref ref-type="bibr" rid="B75">Xu et al., 2021</xref>). These benefits might be attributable to a variety of biologically active substances produced by <italic>B. licheniformis</italic>, which contribute to feed digestibility, immune system regulation, and enhanced intestinal barrier function (<xref ref-type="bibr" rid="B35">Kim et al., 2004</xref>; <xref ref-type="bibr" rid="B84">Zhou et al., 2016</xref>; <xref ref-type="bibr" rid="B34">Kan et al., 2021</xref>). <italic>B. licheniformis</italic> improves the intestinal mechanical barrier and decreases intestinal permeability by up-regulating the gene expression of mucins and tight junction proteins in laying hens (<xref ref-type="bibr" rid="B74">Wang et al., 2017</xref>). Diets containing a mixture of <italic>B. licheniformis</italic> and <italic>B. subtilis</italic> have been found to alleviate <italic>Escherichia coli</italic>-induced enteritis by increasing intestinal epithelial barrier integrity (<xref ref-type="bibr" rid="B76">Yang et al., 2016</xref>). The potential underlying mechanism involves regulation of the composition of the intestinal microbiota to restore and maintain intestinal homeostasis (<xref ref-type="bibr" rid="B66">Sanders et al., 2019</xref>; <xref ref-type="bibr" rid="B82">Zhao et al., 2022b</xref>). For instance, probiotic <italic>Bacillus</italic> strains have been found to prevent or diminish gut colonization by <italic>Chlamydia psittaci, Escherichia coli, Streptococcus</italic>, and <italic>Salmonella</italic>, thus improving intestinal mucosa integrity and gut health (<xref ref-type="bibr" rid="B86">Zuo et al., 2020</xref>; <xref ref-type="bibr" rid="B23">Haque et al., 2021</xref>). Therefore, probiotic <italic>Bacillus</italic> appears to prevent disease or stress, and promote growth performance, possibly through an optimized intestinal microbial structure and improved gut health.</p>
<p>Although <italic>B. licheniformis</italic> has great potential application value in the broiler industry, the efficacy of probiotic <italic>Bacillus</italic> varies among strains and depends on the exogenous environmental conditions to which animals are exposed (<xref ref-type="bibr" rid="B39">Konieczka et al., 2022</xref>). In the present study, we hypothesized that dietary <italic>B. licheniformis</italic> BCG might alter the ileal and cecal microbiota, and contribute to broiler digestibility and gut health. To this end, we aimed to explore the protective roles of <italic>B. licheniformis</italic> BCG involving improved nutrient digestion and absorption, a strengthened intestinal barrier, and decreased inflammation, and to understand their relationships with the gut microbiota shifted by <italic>B. licheniformis</italic> BCG. Our data provided a theoretical basis for application of <italic>B. licheniformis</italic> BCG in the production of healthy broilers.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>2. Materials and methods</title>
<p>The experimental animal protocol for this study was conducted in accordance with the recommendations of &#x201C;Guidelines on Welfare and Ethical Review for Laboratory Animals&#x201D; (GB/T 35892-2018), and approved by the Institutional Animal Care and Use Committee of the Institute of Feed Research of Chinese Academy of Agricultural Sciences (FRI-CAAS20210827).</p>
<sec id="S2.SS1">
<title>2.1. Animals and experimental design</title>
<p>A total of 240 1-day-old male Arbor Acre broilers (body weight, 42.62 &#x00B1; 0.82 g) were randomly allocated to three groups. Each group consisted of eight replicates (pens) with 10 broilers per pen. Two phase non-medicated basal diets in mashed form were formulated based on the nutrient requirements of the National Research <xref ref-type="bibr" rid="B11">Council (1994)</xref>; (<xref ref-type="table" rid="T1">Table 1</xref>). The three groups included basal diet (CT, <italic>n</italic> = 8), and basal diet with a dose of 1.0 &#x00D7; 10<sup>8</sup> CFU/kg (BCG1, <italic>n</italic> = 8) and 1.0 &#x00D7; 10<sup>9</sup> CFU/kg (BCG2, <italic>n</italic> = 8) <italic>B. licheniformis</italic> BCG, respectively (<xref ref-type="bibr" rid="B74">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B34">Kan et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Xu et al., 2021</xref>). All broilers were feed in wire-floored cages in a one-level battery on their respective diets. The study lasted 42 days, during which time broilers had <italic>ad libitum</italic> to feed and fresh water. Broilers were housed in an environmentally controlled room and temperature was gradually reduced from 35&#x00B0;C on day 1 to 26&#x00B0;C at day 21 and then kept roughly constant. A 20 h light-4 h dark cycle was carried out throughout the experimental period. <italic>B. licheniformis</italic> BCG was isolated from humus soil in the northeast forest area and preserved in the Key Laboratory of Feed Biotechnology of Ministry of Agriculture and Rural Affairs. It presents great biological characteristics in carbohydrate metabolism enzymes and stress tolerance through the whole genome sequencing and <italic>in vitro</italic> evaluation. <italic>B. licheniformis</italic> BCG with viable count = 1.08 &#x00D7; 10<sup>10</sup> CFU/g was used and mixed in the basal diet, which was prepared in bacterial mashed form after processed in activation, culture, centrifugation, freeze-drying, and grinding.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Ingredients and chemical compositions of experimental diets (as-fed basis).</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Ingredient (%)</td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">Content</td>
</tr>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"/>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Day 1-21</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Day 22-42</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Corn</td>
<td valign="top" align="center">54.88</td>
<td valign="top" align="center">58.00</td>
</tr>
<tr>
<td valign="top" align="left">Soybean meal</td>
<td valign="top" align="center">36.27</td>
<td valign="top" align="center">32.79</td>
</tr>
<tr>
<td valign="top" align="left">Fish meal</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">1.33</td>
</tr>
<tr>
<td valign="top" align="left">Soybean oil</td>
<td valign="top" align="center">3.08</td>
<td valign="top" align="center">4.28</td>
</tr>
<tr>
<td valign="top" align="left">Dicalcium phosphate</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">1.08</td>
</tr>
<tr>
<td valign="top" align="left">Limestone</td>
<td valign="top" align="center">1.21</td>
<td valign="top" align="center">1.14</td>
</tr>
<tr>
<td valign="top" align="left">Sodium chloride</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.30</td>
</tr>
<tr>
<td valign="top" align="left"><sc>DL</sc>-Methionine</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left"><sc>L</sc>-Lysine-HCl</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">Vitamin and mineral premix<xref ref-type="table-fn" rid="t1fnd1"><sup>&#x2020;</sup></xref></td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color: #dcdcdc;"><bold>Nutrient composition<xref ref-type="table-fn" rid="t1fnd2"><sup>&#x2021;</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left">Metabolizable energy (MJ/kg)</td>
<td valign="top" align="center">12.35</td>
<td valign="top" align="center">12.80</td>
</tr>
<tr>
<td valign="top" align="left">Crude protein (%)</td>
<td valign="top" align="center">21.86</td>
<td valign="top" align="center">20.34</td>
</tr>
<tr>
<td valign="top" align="left">Calcium (%)</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">Total Phosphorus (%)</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">Available phosphorus (%)</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">Methionine (%)</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Methionine + Cysteine (%)</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">Lysine (%)</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">0.95</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fnd1"><p><sup>&#x2020;</sup>A vitamin-mineral premix provided the following nutrients per kg of diet: vitamin A, 10000 IU; vitamin D, 2000 IU; vitamin E, 20 IU; vitamin K, 1 mg; vitamin B1, 2 mg; riboflavin, 8 mg; vitamin B<sub>12</sub>, 0.01 mg; pantothenic acid, 10 mg; niacin, 35 mg; pyridoxine, 3.5 mg; biotin, 0.2 mg; folic acid, 0.6 mg; Fe, 100 mg; Cu, 10 mg; Mn, 120 mg; Zn, 100 mg; I, 0.7 mg; Se, 0.3 mg.</p></fn>
<fn id="t1fnd2"><p><sup>&#x2021;</sup>Nutrient levels were calculated.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S2.SS2">
<title>2.2. Sample collection</title>
<p>At 42 days of age, after fasting overnight, one broiler representing the average weight from each replicate was selected and humanely slaughtered. Jejunum, ileum and cecum segments were divided and fresh ileal and cecal contents were collected for &#x03B1;-amylase and microbiota analysis. Jejunal and ileal mucosa were scraped by autoclaved blade after precooled saline flush for maltase, sucrase and gene expression analysis. All samples were obtained as described previously (<xref ref-type="bibr" rid="B70">Wang et al., 2008</xref>), and immediately frozen in liquid nitrogen and stored at &#x2212;80&#x00B0;C.</p>
</sec>
<sec id="S2.SS3">
<title>2.3. Biochemical analysis</title>
<p>Appropriately 100 mg frozen mucosa and chyme of jejunum and ileum, respectively, were taken and mixed with 1 mL cold buffer (pH7.4), containing 10 mM Tris-HCl, 0.1 EDTA-Na<sub>2</sub> and 0.8% (w/v) NaCl, and homogenized using an Ultra-Turrax homogenizer for 30 s. Homogenates were centrifuged at 3,000 &#x00D7; <italic>g</italic> for 15 min at 4&#x00B0;C and supernatants transferred to new tubes for protein assay and other measurements. The activities of &#x03B1;-amylase, maltase and sucrase were measured by colorimetry using the commercial kits (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) according to the manufacturer&#x2019;s protocols. Maltase and sucrase were normalized to tissue protein concentrations, which were measured with a bicinchoninic acid commercial kit (Thermo Fisher Scientific, Waltham, MA, USA) following the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="S2.SS4">
<title>2.4. Real-time quantitative PCR (RT-qPCR)</title>
<p>Selected mRNA abundance was determined by RT-qPCR, including nutrient transporters genes <italic>FABP-1</italic> (fatty acid binding protein 1), <italic>FATP-1</italic> (fatty acid transport protein 1), <italic>GLUT-2</italic> (glucose transporter 2), <italic>LAT-1</italic> (L type amino acid transporter 1), <italic>PepT-1</italic> (peptide transporter 1) and <italic>SGLT-1</italic> (sodium glucose co-transporter 1), inflammatory molecules&#x2019; genes <italic>TLR-4</italic> (Toll-like receptor 4), <italic>IL-1&#x03B2;</italic> (interleukin 1&#x03B2;), <italic>IL-8, IL-10, TNF-&#x03B1;</italic> (tumor necrosis factor &#x03B1;), <italic>TGF-&#x03B2;</italic> (Transforming growth factor &#x03B2;) and <italic>NF-&#x03BA;B</italic> (Nuclear factor kappa B), and tight junction genes <italic>Claudin-1, Occludin, ZO-1</italic> and <italic>Mucin-2</italic>. Total RNA was isolated from ileal mucosa samples (approximately 0.75 mg) using an RNAprep pure tissue kit (Tiangen Biotech Co. Ltd., Beijing, China) under the manufacturer&#x2019;s instructions. Total RNA concentrations and quality were assessed using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). RNA integrity was evaluated using agarose gel (1%) electrophoresis. Then, cDNA was synthesized from 1 &#x03BC;g total RNA using a PrimeScript RT reagent kit (TaKaRa Biotechnology Co., Ltd., Otsu, Japan) following to manufacturer&#x2019;s protocols. Selected mRNA reactions were detected in 10 &#x03BC;L (Bio-Rad Laboratories, Hercules, CA, USA) using SYBR<sup>&#x00AE;</sup> Premix Ex TaqTM II (Tli RNaseH Plus) (TaKaRa Biotechnology Co., Otsu, Japan). The primers for nutrient transporters, inflammatory, and tight junction-related and housekeeping genes [glyceraldehyde 3-phosphate dehydrogenase (GAPDH)] were described previously (<xref ref-type="bibr" rid="B72">Wang et al., 2016</xref>, <xref ref-type="bibr" rid="B73">2020</xref>). The 2<sup>&#x2013;&#x0394;&#x0394;Ct</sup> method was used for quantification using GAPDH as a reference gene, and relative abundance was normalized to CON group values.</p>
</sec>
<sec id="S2.SS5">
<title>2.5. Ileal and cecal microbiota and analysis</title>
<p>Bacterial genomic DNA was extracted from ileal and cecal chyme samples (Qiagen DNA stool mini kit, Qiagen, Germany). DNA quantity and quality were assessed using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA) and 1% agarose gels, respectively. The V3&#x2013;V4 hypervariable region 16S rRNA was amplified using specific primers (forward 5&#x2032;-ACTCCTACGGGAGGCAGCA-3&#x2032; and reverse 5&#x2032;-GGACTACHVGGGTWTCTAAT-3&#x2032;), containing unique barcodes. Polymerase chain reaction (PCR) was conducted in a total volume of 20 &#x03BC;L, including 1 &#x00D7; FastPfu buffer, 250 &#x03BC;M dNTP, 0.2 &#x03BC;M each primer, 1 U FastPfu polymerase (Beijing TransGen Biotech, Beijng, China), and 10 ng template DNA. PCR products were electrophoresed on 2% agarose gels and purified using a Qiagen gel extraction kit (Qiagen, Germany). Sequencing libraries were constructed using a TruSeq<sup>&#x00AE;</sup> DNA PCR-Free Sample Preparation Kit (Illumina, San Diego, CA, USA) based on manufacturer&#x2019;s instructions, and index codes were added. Library quality was assessed using a Qubit V.2.0 Fluorometer (Thermo Fisher Scientific, Waltham, MA, USA). Qualified DNA libraries were loaded into a NovaSeq platform capable of 2 &#x00D7; 250 bp paired-end sequencing reads (Novogene, Beijing, China).</p>
<p>Paired-end reads were generated and merged using FLASH software (V1.2.7)<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>. Operational taxonomic units with 97% identity were gathered using Uparse<sup><xref ref-type="fn" rid="footnote2">2</xref></sup> (ver. 7.1). Taxonomic annotations were performed using the Mothur algorithm (70% confidence) in the Silva database<sup><xref ref-type="fn" rid="footnote3">3</xref></sup>. Alpha-diversity was analyzed using Observed_species, Chao1, and Shannon indices. Beta-diversity was visualized using principal coordinate analysis (PCoA) plots based on weighted UniFrac distance. Bacterial biomarkers between groups were displayed using the linear discriminant analysis effect size (LEfSe, linear discriminant analysis (LDA) &#x003E; 3.5).</p>
</sec>
<sec id="S2.SS6">
<title>2.6. Statistical analysis</title>
<p>Statistical analyses were performed using one-way analysis of variance in SAS 9.4 (SAS Institute, Inc., Cary, NC, USA). Each broiler served as statistical unit. Differences between treatment means for enzyme activity and gene expression were evaluated using Duncan&#x2019;s multiple-range tests. Wilcox test was used for alpha-diversity index. LEfSe, <italic>t</italic>-test, and Metastat analyses were used to test for significant differences between microbiota relative abundance. Results were represented as mean with standard error of mean (SEM) in the tables and the mean with standard error (SE) in the figures, while <italic>P</italic> &#x003C; 0.05 (&#x002A;) and <italic>P</italic> &#x003C; 0.01 (<sup>&#x002A;&#x002A;</sup>) values were considered statistically and extremely significant, respectively. Bar charts were drafted in Graphpad Prism 7.0 software (GraphPad Software Inc., La Jolla, CA, USA).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3. Results</title>
<sec id="S3.SS1">
<title>3.1. Effects of <italic>B. licheniformis</italic> BCG on jejunal and ileal enzyme activity in broilers</title>
<p>The BCG2 group showed significantly greater jejunal and ileal maltase and sucrase activity, and the BCG1 group showed significantly greater ileal sucrase activity, than the CT group (<italic>P</italic> &#x003C; 0.05, <xref ref-type="table" rid="T2">Table 2</xref>). No differences in these two parameters were observed between the BCG1 and BCG2 groups (<italic>P</italic> &#x003E; 0.05). Dietary <italic>B. licheniformis</italic> BCG resulted in significantly greater &#x03B1;-amylase activity than that in the CT group (<italic>P</italic> &#x003C; 0.05), and this activity was higher in the BCG2 group than the BCG1 group (<italic>P</italic> &#x003C; 0.05).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Effects of <italic>B. licheniformis</italic> BCG on enzyme activity in the jejunum and ileum in broilers.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Item</td>
<td valign="top" align="center" colspan="3" style="color:#ffffff;background-color: #7f8080;">Dietary treatments<xref ref-type="table-fn" rid="t2fna"><sup>1</sup></xref></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SEM<xref ref-type="table-fn" rid="t2fna"><sup>2</sup></xref></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic>-value</td>
</tr>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"/>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CT</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">BCG1</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">BCG2</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"/>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Jejunum</bold></td>
</tr>
<tr>
<td valign="top" align="left">Maltase (U/mg prot)</td>
<td valign="top" align="center">35.60<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">51.29<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">49.07<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">2.584</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Sucrase (U/mg prot)</td>
<td valign="top" align="center">43.40<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">53.11<xref ref-type="table-fn" rid="t2fna"><sup>ab</sup></xref></td>
<td valign="top" align="center">64.63<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">2.844</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B1;-amylase (U/dL)</td>
<td valign="top" align="center">49.35</td>
<td valign="top" align="center">52.90</td>
<td valign="top" align="center">50.26</td>
<td valign="top" align="center">1.581</td>
<td valign="top" align="center">0.663</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color: #dcdcdc;"><bold>Ileum</bold></td>
</tr>
<tr>
<td valign="top" align="left">Maltase (U/mg prot)</td>
<td valign="top" align="center">134.50<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">169.23<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">178.36<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">6.953</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">Sucrase (U/mg prot)</td>
<td valign="top" align="center">100.87<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">129.09<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">127.31<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">5.088</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B1;-amylase (U/dL)</td>
<td valign="top" align="center">24.61<xref ref-type="table-fn" rid="t2fna"><sup>c</sup></xref></td>
<td valign="top" align="center">32.53<xref ref-type="table-fn" rid="t2fna"><sup>b</sup></xref></td>
<td valign="top" align="center">44.76<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
<td valign="top" align="center">2.220</td>
<td valign="top" align="center">&#x003C; 0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fna"><p><sup>a&#x2013;c</sup>Different superscript letters in a row indicate a significant difference (<italic>P</italic> &#x003C; 0.05). <sup>1</sup>CT, control group, basal diet; BCG1, basal diet supplemented with <italic>B. licheniformis</italic> BCG at 1.0 &#x00D7; 10<sup>8</sup> CFU/kg; BCG2, basal diet supplemented with <italic>B. licheniformis</italic> BCG at 1.0 &#x00D7; 10<sup>9</sup> CFU/kg. <sup>2</sup>SEM, standard error of the mean, <italic>n</italic> = 8.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>3.2. Effects of <italic>B. licheniformis</italic> BCG on nutrient transporter gene mRNA levels in the ileum</title>
<p><italic>FABP-1</italic> and <italic>FATP-1</italic> relative mRNA levels in the BCG2 group were significantly higher than those in the CT and BCG1 groups (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F1">Figure 1</xref>). The transcript abundance of <italic>GLUT-2</italic> and <italic>LAT-1</italic> was greater in the BCG2 group than the CT group (<italic>P</italic> &#x003C; 0.05), and no significant difference was found between the BCG1 group and the other groups (<italic>P</italic> &#x003E; 0.05).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Effects of <italic>Bacillus licheniformis</italic> BCG on nutrient transporter gene mRNA levels in the ileum. Values are mean &#x00B1; SE (<italic>n</italic> = 6). <sup>a,b</sup>Bars with different letters within the same index indicate a significant difference between groups (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1113072-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>3.3. Effects of <italic>B. licheniformis</italic> BCG on tissue morphology and the mRNA expression of tight junction and inflammatory molecules in the ileum</title>
<p>Histological examination of the ileum indicated that the villi and epithelium in the CT group, as compared with the BCG1 and BCG2 groups, showed damage; however, no clear infiltration of inflammatory cells was observed among groups (<xref ref-type="fig" rid="F2">Figure 2A</xref>). Dietary <italic>B. licheniformis</italic> BCG significantly up-regulated ileal <italic>occludin</italic> mRNA levels, which were higher in the BCG2 group than the CT group (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F2">Figure 2B</xref>). The transcript abundance of <italic>IL-8</italic> and <italic>TLR-4</italic> in the BCG1 and BCG2 groups was lower than that in the CT group (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F2">Figure 2C</xref>), whereas no significant difference was observed between the BCG1 and BCG2 groups. No significant difference in <italic>claudin-1, ZO-1, mucin-2, IL-1</italic>&#x03B2;, <italic>TNF-</italic>&#x03B1;, <italic>NF</italic>-&#x03BA;<italic>B, IL-10</italic>, and <italic>TGF-</italic>&#x03B2; transcript abundance was observed between groups (<italic>P</italic> &#x003E; 0.05).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Effects of <italic>Bacillus licheniformis</italic> BCG on ileal morphology, and tight junction and inflammatory molecule gene mRNA levels in the ileum. <bold>(A)</bold> Representative ileal histological sections of broilers. <bold>(B)</bold> mRNA levels of the tight junction genes <italic>claudin-1, occludin, ZO-1</italic>, and <italic>Mucin-2</italic>. <bold>(C)</bold> The mRNA levels of the inflammatory molecule genes <italic>TLR-4, IL-1</italic>&#x03B2;, <italic>IL-8, IL-10, TNF-</italic>&#x03B1;, <italic>TGF-</italic>&#x03B2;, and <italic>NF-</italic>&#x03BA;<italic>B</italic>. Values are the mean &#x00B1; SE (<italic>n</italic> = 6). <sup>a,b</sup>Bars with different letters within the same index indicate a significant difference between groups (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1113072-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>3.4. Effects of <italic>B. licheniformis</italic> BCG on microbiota diversity in the ileum and cecum</title>
<p>A total of 3,917,657 high quality sequencing reads were generated from 47 broiler gut samples, with an average of 69,233 effective sequences/sample. Alpha diversity analyses indicated varying community richness and diversity among groups in the ileal but not the cecal bacterial communities. Both the BCG1 and BCG2 groups showed significantly lower ileal Observed_species, Chao1, and Shannon indexes than the CT group (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F3">Figures 3A&#x2013;C</xref>). Differences in the microbial structure among groups and niches were evaluated with PCoA analysis based on weighted UniFrac distance. Microbial communities were well separated between the ileal microbiota and counterparts colonizing the cecum, and between groups in the ileum (<xref ref-type="fig" rid="F3">Figures 3D&#x2013;F</xref>). ANOSIMs also confirmed the structural dissimilarity between the ileum and cecum, and between the CT group and the two BCG groups in the ileum or cecum (R &#x003E; 0, <italic>P</italic> &#x003C; 0.05, <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Effects of <italic>Bacillus licheniformis</italic> BCG on alpha- and beta-diversity of the microbiota inhabiting the ileum and cecum in broilers. <bold>(A&#x2013;C)</bold> Bacterial richness and diversity, estimated with Observed_species, Chao1 value, and Shannon index. <bold>(D&#x2013;F)</bold> Principal coordinate analysis based on weighted UniFrac distances, showing separation in the microbiota between the ileum and cecum, and between groups in the ileum or cecum. Values are mean &#x00B1; SE (<italic>n</italic> = 8; BCG1-C, <italic>n</italic> = 7). <sup>a,b</sup>Boxes with different letters within the same index indicate a significant difference between groups (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-14-1113072-g003.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>ANOSIM analysis of differences in bacterial structure between variables, on the basis of Bray-Curtis distances.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Varibles</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>R</italic>-value</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CTI VS. CTC</td>
<td valign="top" align="center">0.8549</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">CTI VS. BCG1-C</td>
<td valign="top" align="center">0.9971</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">CTI VS. BCG2-C</td>
<td valign="top" align="center">0.9967</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">CTC VS. BCG1-I</td>
<td valign="top" align="center">0.7238</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">CTC VS. BCG2-I</td>
<td valign="top" align="center">0.8644</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">BCG1-I VS. BCG1-C</td>
<td valign="top" align="center">0.750</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">BCG1-I VS. BCG2-C</td>
<td valign="top" align="center">0.7812</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">BCG2-I VS. BCG1-C</td>
<td valign="top" align="center">0.9555</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">BCG2-I VS. BCG2-C</td>
<td valign="top" align="center">0.9325</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">CTI VS. BCG1-I</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" align="left">CTI VS. BCG2-I</td>
<td valign="top" align="center">0.1663</td>
<td valign="top" align="center">0.041</td>
</tr>
<tr>
<td valign="top" align="left">BCG1-I VS. BCG2-I</td>
<td valign="top" align="center">-0.0385</td>
<td valign="top" align="center">0.669</td>
</tr>
<tr>
<td valign="top" align="left">CTC VS. BCG1-C</td>
<td valign="top" align="center">0.1764</td>
<td valign="top" align="center">0.027</td>
</tr>
<tr>
<td valign="top" align="left">CTC VS. BCG2-C</td>
<td valign="top" align="center">0.1872</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">BCG1-C VS. BCG2-C</td>
<td valign="top" align="center">0.4191</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>R</italic> &#x003E; 0 represents a significant difference between groups, whereas <italic>R</italic> &#x003C; 0 indicates a difference within groups greater than that between groups. <italic>P</italic> &#x003C; 0.05 indicates a significant difference in statistics. CT, control group, basal diet; BCG1, BCG1 group, basal diet supplemented with <italic>B. licheniformis</italic> BCG at 1.0 &#x00D7; 10<sup>8</sup> CFU/kg; BCG2, BCG2 group, basal diet supplemented with <italic>B. licheniformis</italic> BCG at 1.0 &#x00D7; 10<sup>9</sup> CFU/kg; I, ileum; C, cecum.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>3.5. Effects of <italic>B. licheniformis</italic> BCG on ileal and cecal bacterial structures</title>
<p>In the ileum, Proteobacteria, Firmicutes, Bacteroidota, and Campylobacterota were the dominant bacterial phyla, with a relative abundance accounting for &#x003E; 95% of the total ileal bacterial communities (<xref ref-type="fig" rid="F4">Figure 4A</xref>). In contrast to the CT-ileal (CT-I) group, the BCG1-I and BCG2-I groups showed an increase in the relative abundance of Proteobacteria and Firmicutes, from 11.79 to 17.44 (16.81%), and from 64.11 to 69.37 (73.94%), respectively (<italic>P</italic> &#x003E; 0.05). However, the BCG1-I and BCG2-I groups showed a decrease in the relative abundance of Bacteroidota and Campylobacterota, from 10.25 to 4.19 (4.62%), and from 9.08 to 6.42 (1.98%), respectively (<italic>P</italic> &#x003E; 0.05). At the family level, in contrast to the CT group, the BCG1 and BCG2 groups showed an increase in the relative abundance of <italic>Peptostreptococcaceae, Sphingomonadaceae</italic>, and <italic>Lactobacillaceae</italic>, from 17.6 to 26.67 (26.92%), from 0.04 to 6.89 (5.39%), and from 12.18 to 23.17 (22.97%), respectively (<italic>P</italic> &#x003E; 0.05). The relative abundance of <italic>Campylobacteraceae</italic> in the BCG1-I and BCG2-I groups was, respectively, 0.68 and 1.44%, and lower than the 7.31% in the CT-I group (<italic>P</italic> &#x003E; 0.05, <xref ref-type="fig" rid="F4">Figure 4B</xref>). Diets with BCG1 and BCG2 significantly decreased several low abundance bacteria at the family level (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F4">Figures 4C, D</xref>). For the 35 most dominant ileal genera, the BCG1 and BCG2 diet groups showed significantly lower relative abundance of <italic>Clostridiales bacterium CHKCI001, Enterococcus, Clostridia_vadinBB60_group, Faecalibacterium, Phascolarctobacterium, Barnesiella, Alistipes</italic>, and <italic>Ruminococcaceae UCG-005</italic> than that in the CT group (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F4">Figure 4E</xref>). The BCG1 diet group showed significantly lower relative abundance of <italic>Lactobacillus, Vibrio, Pseudomonas, Bacteroides, Streptococcus, Staphylococcus</italic>, and <italic>Bacillus</italic> than that in the CT group (<italic>P</italic> &#x003C; 0.05). The relative abundance of <italic>Helicobacter</italic> in the BCG2-I group was significantly lower than that in the CT-I and BCG1-I groups (<italic>P</italic> &#x003C; 0.05). In contrast to the CT-I group, the BCG1-I and BCG2-I groups showed an increase in the relative abundance of <italic>Sphingomonas</italic> from 0.03 to 6.34 (11.55%), whereas <italic>Campylobacter</italic> levels showed a decrease from 7.31 to 0.68 (1.44%) (<italic>P</italic> &#x003E; 0.05).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Effects of <italic>Bacillus licheniformis</italic> BCG on bacterial composition in the ileum. <bold>(A,B)</bold> Distribution of ileal bacteria at the phylum and family levels. <bold>(C,D)</bold> The <italic>t</italic>-tests were used to assess significant differences at the family level; <italic>P</italic> &#x003C; 0.05 indicates a significant difference. <bold>(E)</bold> Statistical analysis of differences in the relative abundance of the top 35 genera; Metastat was used to test for significant differences; light pink diamonds indicate <italic>P</italic> &#x003C; 0.05, and dark pink diamonds indicate <italic>P</italic> &#x003C; 0.01 between groups (<italic>n</italic> = 8).</p></caption>
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<p>In the cecum, Bacteroidota, Firmicutes, Proteobacteria, Campylobacterota, and Fusobacteriota were the major bacterial phyla, and their relative abundance was seldom affected by BCG treatments (<italic>P</italic> &#x003E; 0.05, <xref ref-type="fig" rid="F5">Figure 5A</xref>). On the basis of T-test and LEfSe results, CT-C broilers had a higher relative abundance of <italic>f_Erysipelotrichaceae, f_Peptostreptococcaceae</italic>, and <italic>g_Romboutsia</italic> than that in the BCG1-C and BCG2-C groups, and <italic>f_Erysipelotrichaceae</italic> and <italic>f_Peptostreptococcaceae</italic> levels in the BCG2-C group were significantly higher than those in the BCG1-C group (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F5">Figures 5B&#x2013;F</xref>). <italic>f-Lactobacillaceae</italic> and <italic>g_Lactobacillus</italic> were the dominant bacteria in the BCG2-C group, in contrast to the BCG1-C and CT-C groups, whereas <italic>f_Enterococcaceae, f_Campylobacteraceae, f_Tannerellacea</italic>e, <italic>g_Escherichia-Shigella, g_Campylobacter</italic>, and <italic>g_Parabacteroides</italic> were the dominant bacteria in the BCG1-C group, in contrast to the CT-C and BCG2-C groups. The <italic>f_Campylobacteraceae</italic> level in the BCG2-C group was significantly lower than that in the BCG1-C group (<italic>P</italic> &#x003C; 0.05).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Effects of <italic>Bacillus licheniformis</italic> BCG on bacterial composition in the cecum. <bold>(A)</bold> Distribution of cecal bacteria at the phylum level. <bold>(B&#x2013;D)</bold> The <italic>t</italic>-tests were used to assess significant differences at the family level; <italic>P</italic> &#x003C; 0.05 indicates a significant difference. <bold>(E)</bold> LEfSe analysis of differences in taxa enrichment in microbial communities between groups; bacterial taxa with a logarithmic LDA score &#x003E; 3.5 were biomarker taxa. <bold>(F)</bold> Cladogram showing bacteria with significant differences between groups (<italic>n</italic> = 8; BCG1-C, <italic>n</italic> = 7).</p></caption>
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</sec>
<sec id="S3.SS6">
<title>3.6. Correlations between ileal microbiota and enzyme activity and nutrient transporters or inflammatory and barrier parameters</title>
<p>A Spearman&#x2019;s correlation analysis was performed to explore the relationships of predominant ileal phyla, families, and genera with the nutrient digestion and absorption, or inflammatory and barrier parameters (<xref ref-type="fig" rid="F6">Figure 6</xref>). <italic>Proteobacteria, f_Sphingomonadaceae</italic>, and <italic>Sphingomonas</italic> were significantly positively correlated with <italic>FATP-1</italic> expression, whereas <italic>Alistipes</italic> and <italic>Barnesiella</italic> were significantly negatively correlated with &#x03B1;-amylase activity (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F6">Figure 6A</xref>). <italic>Bacteroides</italic> and <italic>Limosilactobacillus</italic> showed a significant positive correlation with <italic>SGLT-1</italic> expression and &#x03B1;-amylase activity (<italic>P</italic> &#x003C; 0.05). <italic>Helicobacter</italic> was significantly positively correlated with maltase activity but negatively correlated with <italic>SGLT-1</italic> expression (<italic>P</italic> &#x003C; 0.05). <italic>Firmicutes, f_Lactobacillaceae, Lactobacillus, Fusobacterium</italic>, and <italic>Limosilactobacillus</italic> showed significant positive correlations with <italic>ZO-1</italic> expression. <italic>f_Lactobacillaceae</italic> and <italic>Lactobacillus</italic> were significantly positively correlated with <italic>occludin</italic> and <italic>mucin-2</italic> expression. <italic>f_Lactobacillaceae</italic> showed a significantly positive correlation with <italic>claudin-1</italic> expression (<italic>P</italic> &#x003C; 0.05, <xref ref-type="fig" rid="F6">Figure 6B</xref>). <italic>Bacteroidota, Bacteroides</italic>, and <italic>Phascolarctobacterium</italic> were significantly correlated with <italic>TLR 4</italic> and <italic>IL-10</italic> expression, and <italic>Ruminococcaceae UCG-005</italic> was significantly correlated with <italic>TNF-</italic>&#x03B1;, <italic>NF-</italic>&#x03BA;<italic>B</italic>, and <italic>IL-8</italic> expression (<italic>P</italic> &#x003C; 0.05). <italic>Proteobacteria, f_Sphingomonadaceae</italic>, and <italic>Sphingomonas</italic> showed significant negative correlations with <italic>IL-1</italic>&#x03B2; and <italic>NF-</italic>&#x03BA;<italic>B</italic> expression (<italic>P</italic> &#x003C; 0.05).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p><bold>(A)</bold> Correlations between the ileal microbiota and enzyme activity and nutrient transporters. <bold>(B)</bold> Correlations between the ileal microbiota and inflammatory and barrier parameters. Red represents a positive correlation, and blue represents a negative correlation. &#x002A;<italic>P</italic> &#x003C; 0.05 and &#x002A;&#x002A;<italic>P</italic> &#x003C; 0.01 indicate significant and extremely significant correlations.</p></caption>
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<sec id="S4" sec-type="discussion">
<title>4. Discussion</title>
<p><italic>Bacillus</italic> spp. bacteria serve as a potential alternative to antibiotic growth promoters in livestock production, owing to their stress resistance and probiotic characteristics. Previous studies have shown that dietary supplementation with <italic>B. licheniformis</italic> significantly promoted broiler growth by increasing body weight and decreasing the feed to weight ratio (<xref ref-type="bibr" rid="B47">Liu et al., 2012</xref>; <xref ref-type="bibr" rid="B7">Chen and Yu, 2020</xref>; <xref ref-type="bibr" rid="B75">Xu et al., 2021</xref>). In addition, several studies have indicated that <italic>B. licheniformis</italic> administration promoted broiler growth under heat stress and <italic>Clostridium perfringens</italic> challenge conditions (<xref ref-type="bibr" rid="B67">Song et al., 2014</xref>; <xref ref-type="bibr" rid="B84">Zhou et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Musa et al., 2019</xref>). These findings were consistent with those in our previous study indicating that diets with <italic>B. licheniformis</italic> at a dose of 1.0 &#x00D7; 10<sup>9</sup> CFU/kg significantly increases broiler body weight and average daily gain (<xref ref-type="bibr" rid="B71">Wang et al., 2022</xref>). Thus, <italic>B. licheniformis</italic> improved broiler growth performance under both normal and stress conditions. The mechanism underlying the improvements in nutrient digestion and host health were likely to involve the formation of beneficial metabolites such as extracellular digestive enzymes, organic acids, and antibacterial peptides (<xref ref-type="bibr" rid="B35">Kim et al., 2004</xref>; <xref ref-type="bibr" rid="B36">Knap et al., 2010</xref>; <xref ref-type="bibr" rid="B75">Xu et al., 2021</xref>). Thus, the activity of &#x03B1;-amylase, maltase, and sucrase in the jejunum and ileum was further determined, because these enzymes participated in the digestion of nutrients.</p>
<p>In poultry, feed starch is generally degraded by &#x03B1;-amylase into smaller molecular oligomers after initial hydrolyzation by the microbiota, and is finally hydrolyzed into maltose and maltotriose in the small intestine (<xref ref-type="bibr" rid="B14">Dhital et al., 2017</xref>). Subsequently, maltose and maltotriose are hydrolyzed into glucose by sucrase, and maltase resides at the surfaces of the intestinal villi (<xref ref-type="bibr" rid="B83">Zhou et al., 2021</xref>). <italic>B. licheniformis</italic> secretes extracellular enzymes such as &#x03B1;-amylase and proteases (<xref ref-type="bibr" rid="B33">Kaewtapee et al., 2017</xref>). In the present study, dietary <italic>B. licheniformis</italic> BCG, compared with the CT diet, significantly increased jejunal and ileal &#x03B1;-amylase, maltase, and sucrase activity, in partial agreement with findings reported by <xref ref-type="bibr" rid="B77">Yang et al. (2021)</xref>. The &#x03B1;-amylase activity is an important rate-determining factor in starch digestion, because endogenous &#x03B1;-amylase activity is low in broilers (<xref ref-type="bibr" rid="B83">Zhou et al., 2021</xref>). The increased &#x03B1;-amylase activity may increase the nutrient digestibility coefficients of starch and organic matter and consequently increase feed metabolizable energy, thus contributing to broiler growth performance (<xref ref-type="bibr" rid="B30">Jiang et al., 2008</xref>; <xref ref-type="bibr" rid="B32">Kaczmarek et al., 2014</xref>). In addition, nutrient transporters are crucial for nutrient absorption at the brush border membrane in the small intestine. Both FABP-1 and FATP-1 are important for intestinal absorption of lipids and fatty acids, particularly in long-chain fatty acid metabolism and intracellular transportation (<xref ref-type="bibr" rid="B9">Coe et al., 1999</xref>; <xref ref-type="bibr" rid="B62">Richieri et al., 1999</xref>). GLUT-2 is an Na<sup>+</sup>-independent transporter responsible for the basolateral exit of glucose from the intestinal mucosa into the portal circulation (<xref ref-type="bibr" rid="B73">Wang et al., 2020</xref>). Intestinal LAT-1 participates in branched-chain and aromatic amino acid transport in an Na<sup>+</sup>-independent manner (<xref ref-type="bibr" rid="B6">Broer, 2008</xref>). As previously reported, probiotic supplementation enhances expression of some types of nutrient transporters in the small intestines in animals (<xref ref-type="bibr" rid="B17">Faseleh Jahromi et al., 2016</xref>; <xref ref-type="bibr" rid="B15">Duan et al., 2018</xref>). In agreement with previous findings, the present study indicated that <italic>B. licheniformis</italic> BCG administration significantly increased <italic>FABP-1, FATP-1, GLUT-2</italic>, and <italic>LAT-1</italic> expression, to a greater extent in the BCG2 group than the BCG1 group. Thus, dietary supplementation with <italic>B. licheniformis</italic> BCG may aid in starch digestion and the absorption of glucose, amino acids, and fatty acids, thereby resulting in higher growth performance of broilers.</p>
<p>To determine whether <italic>B. licheniformis</italic> BCG contributed to intestinal health, we assessed the gene expression of TLR4 signaling pathway related molecules, tight junction proteins, and mucin-2. TLR4, as a pathogen-associated molecular pattern, mediates downstream inflammatory signals through the linker protein MyD88, thereby activating NF-kB, which then translocates into the nucleus and elicits pro-inflammatory cytokine secretion and cellular responses of immune-associated cells (<xref ref-type="bibr" rid="B26">Huebener and Schwabe, 2013</xref>; <xref ref-type="bibr" rid="B34">Kan et al., 2021</xref>). <italic>B. licheniformis</italic> has been demonstrated to decrease secretion of the pro-inflammatory cytokines IL-8 and IL-6 <italic>in vivo</italic> (<xref ref-type="bibr" rid="B13">Deng et al., 2012</xref>; <xref ref-type="bibr" rid="B65">Roselli et al., 2017</xref>). Pretreatment with <italic>B. licheniformis</italic> has been found to decrease the serum TNF-&#x03B1; and IL-1&#x03B2; levels in an acetaminophen-induced acute liver injury rat model (<xref ref-type="bibr" rid="B53">Neag et al., 2020</xref>). Similarly, <italic>B. licheniformis</italic> also decreases the inflammatory response in an LPS-induced acute inflammation rat model (<xref ref-type="bibr" rid="B12">Deng et al., 2017</xref>). Moreover, <italic>B. licheniformis</italic> treatment markedly counteracts the increase in <italic>IL-6, IL-8</italic> and <italic>TNF-&#x03B1;</italic> inflammatory gene expression induced by enterotoxigenic <italic>Escherichia coli</italic> F4 <italic>in vitro</italic>. The immunity homeostasis of HT-29 cells is improved by treatment with <italic>B. licheniformis</italic> MCC 2514, on the basis of downregulation of IL-1&#x03B1;, IL-6, IL-8, IL-12, and TNF-&#x03B1;, and upregulation of IL-4, IL-10, TGF-2, and TGF-3 (<xref ref-type="bibr" rid="B63">Rohith and Halami, 2021a</xref>). These results are consistent with our observation that the ileal <italic>TLR 4</italic> and <italic>IL-8</italic> expression in the BCG1 and BCG2 groups was significantly lower than that in the CT group. The underlying mechanism was associated with <italic>B. licheniformis</italic> bacteriostasis. As previously reported, <italic>B. licheniformis</italic> inhibited the growth of pathogenic bacteria such as <italic>Kocuria rhizophila</italic> and enterotoxigenic <italic>Escherichia coli</italic> by adhering to the intestines (<xref ref-type="bibr" rid="B64">Rohith and Halami, 2021b</xref>; <xref ref-type="bibr" rid="B43">Li et al., 2022a</xref>). Another key mechanism through which <italic>B. licheniformis</italic> attenuates inflammation might involve intestinal barrier improvement.</p>
<p>The integrated intestinal barrier plays an important role in maintaining epithelial cell function, because the epithelium is permeable to feed-associated antigens, and luminal pathogens and their toxins (<xref ref-type="bibr" rid="B5">Awad et al., 2017</xref>). The transmembrane proteins claudins, occludins, and zonula occludens involved in tight junctions are responsible for connecting epithelial cells and regulating paracellular and intracellular permeability (<xref ref-type="bibr" rid="B2">Aijaz et al., 2006</xref>). The regular permeability and integrity of tight junctions are generally negatively affected by stress factors, such as heat stress and pathogen invasion (<xref ref-type="bibr" rid="B67">Song et al., 2014</xref>; <xref ref-type="bibr" rid="B52">Musa et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Li et al., 2022a</xref>). Under <italic>Clostridium perfringens</italic> challenge, dietary <italic>B. licheniformis</italic> significantly increases the gene expression of <italic>claudin-1</italic> and <italic>ZO-1</italic> in the duodenum in broilers at post challenge days 7 and 21 (<xref ref-type="bibr" rid="B52">Musa et al., 2019</xref>). In laying hens, <italic>B. licheniformis</italic> administration enhances the intestinal mechanical barrier by upregulating the gene expression of mucin-2 and tight junction proteins (<xref ref-type="bibr" rid="B74">Wang et al., 2017</xref>). In <italic>in vitro</italic> experiments, <italic>B. licheniformis</italic> PF9 application has been found to reverse the decrease in ZO-1 and occludin expression in the cell membrane after challenge with enterotoxigenic <italic>Escherichia coli</italic> (<xref ref-type="bibr" rid="B43">Li et al., 2022a</xref>). In agreement with previous studies, the present study indicated that a diet with a high dose of <italic>B. licheniformis</italic> BCG resulted in significantly higher <italic>occludin</italic> expression than that in the CT group. Thus, <italic>B. licheniformis</italic> BCG alleviates ileal inflammation partly by enhancing the physical barrier. The improved barrier function resulting from <italic>B. licheniformis</italic> BCG might be attributable to its biologically active substances including bacteriocin and antibacterial peptides, which suppress pathogenic bacterial colonization and balance the intestinal microbiota (<xref ref-type="bibr" rid="B84">Zhou et al., 2016</xref>; <xref ref-type="bibr" rid="B34">Kan et al., 2021</xref>).</p>
<p>The gut microbiota provides a broad range of functions for hosts, for example, the digestion of complex dietary nutrients, defense against pathogens, enhancement of the intestinal barrier, and promotion of immune maturation (<xref ref-type="bibr" rid="B37">Koh et al., 2016</xref>). Owing to differences in histology and function, the broiler intestinal tract is generally divided into the fore- and hindgut. Previous studies in broilers have focused primarily on the hindgut microbiota and their functions, whereas studies on the microbiota in the foregut and their interactions with the host have been limited (<xref ref-type="bibr" rid="B55">Oakley et al., 2014</xref>; <xref ref-type="bibr" rid="B25">Huang et al., 2018</xref>). In the current study, we analyzed ileal and cecal microbial diversity and composition, and their effects under <italic>B. licheniformis</italic> BCG treatment. The PCoA revealed a clear separation between the ileum and cecum compartments, thus indicating a large difference between them, in agreement with findings from a previous study (<xref ref-type="bibr" rid="B69">van der Wielen et al., 2002</xref>). In addition, piglets fed <italic>Bacillus</italic> species probiotics show diminished microbial richness in feces (<xref ref-type="bibr" rid="B33">Kaewtapee et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Poulsen et al., 2018</xref>). These findings are partially consistent with those in the current study indicating diminished bacterial richness and diversity in the ileum but not cecum in broilers in response to <italic>B. licheniformis</italic> BCG. Our findings indicated that dietary supplementation with <italic>B. licheniformis</italic> BCG shifted the ileal bacterial community structure in broilers. Theoretically, gut bacterial diversification is a gradual process that increases with age, and high diversity is considered a sign of gut bacterial maturity (<xref ref-type="bibr" rid="B50">Micah et al., 2007</xref>). Premature formation of an adult-type bacterial community negatively affects host gut immunity (<xref ref-type="bibr" rid="B54">Nylund et al., 2013</xref>). Dietary supplementation with <italic>B. licheniformis</italic> BCG significantly decreased ileal inflammation in the present study, a result partially attributed to the decrease in bacterial diversity.</p>
<p>Bacterial composition is also closely associated with host physiology, including digestion, metabolism, and immunity. In the present study, considerable variations in Proteobacteria, Firmicutes, Campylobacterota, and Bacteroidota were found between the ileum and cecum. Oxygen-sensitive Bacteroidota markedly increased from the ileum to the cecum, because it is adapted to a low oxygen environment. However, oxygen-tolerant Proteobacteria and Campylobacterota, such as <italic>Enterococcaceae</italic> and <italic>Campylobacteraceae</italic>, decreased from the ileum to the cecum. Our results are consistent with previous observations that spatial shifts in bacterial composition depend on microenvironment change (<xref ref-type="bibr" rid="B25">Huang et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Li et al., 2022b</xref>). Firmicutes include <italic>Peptostreptococcaceae, Clostridiaceae</italic>, and <italic>Lactobacillaceae</italic>, which are positively associated with energy intake and have been found to provide an additional 628 kJ of energy when their abundance increases by 20% (<xref ref-type="bibr" rid="B24">Hildebrandt et al., 2009</xref>; <xref ref-type="bibr" rid="B31">Jumpertz et al., 2011</xref>). This causal relationship has also been found in piglet models (<xref ref-type="bibr" rid="B49">Mach et al., 2015</xref>; <xref ref-type="bibr" rid="B43">Li et al., 2022a</xref>). Firmicutes fermentation is a more suitable energy source than Bacteroidota because it produces more short chain fatty acids, thus enhancing efficient heat absorption (<xref ref-type="bibr" rid="B40">Krajmalnik-Brown et al., 2012</xref>; <xref ref-type="bibr" rid="B56">Pan et al., 2022</xref>). We observed that a diet with <italic>B. licheniformis</italic> increased ileal Firmicutes levels but decreased Bacteroidota levels, a finding partially explained by our previous results indicating that <italic>B. licheniformis</italic> administration promoted broiler growth (<xref ref-type="bibr" rid="B71">Wang et al., 2022</xref>). In recent studies, <italic>Sphingomonas</italic> involved in the <italic>f</italic>_<italic>Sphingomonadaceae</italic> has been observed as an abundant bacterium in chicken intestines (<xref ref-type="bibr" rid="B8">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="B79">Zhang et al., 2022b</xref>). The abundance of <italic>Sphingomonas</italic> is significantly positively correlated with fat catabolism in the liver, serum, and muscle (<xref ref-type="bibr" rid="B46">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B79">Zhang et al., 2022b</xref>). In addition, <italic>Sphingomonas</italic> participates in lipid metabolism across the entire process of chicken embryonic development (<xref ref-type="bibr" rid="B3">Akinyemi et al., 2020</xref>). Diets with <italic>B. licheniformis</italic> resulted in significantly greater ileal <italic>f</italic>_<italic>Sphingomonadaceae</italic> and <italic>Sphingomonas</italic> levels than those in the CT group; these levels were significantly positively correlated with <italic>FATP-1</italic> expression but significantly negatively correlated with <italic>IL-1</italic>&#x03B2; and <italic>NF-</italic>&#x03BA;<italic>B</italic> expression. These findings suggested that the shifts in the prevalence of <italic>f</italic>_<italic>Sphingomonadaceae</italic> and <italic>Sphingomonas</italic> after <italic>B. licheniformis</italic> BCG treatment contributed to the intestinal absorption and oxidative decomposition of lipids and fatty acids, and alleviation of intestinal inflammation.</p>
<p>On the basis of the analysis of the abundance of bacteria in the present study, <italic>Lactobacillus, Bacteroides, Alistipes, Escherichia-Shigella, Desulfovibrio, Streptococcus, Ruminococcaceae_UCG-00</italic>5, <italic>Fusobacterium</italic>, and <italic>Campylobacter</italic> predominated in broilers. In general, the presence of <italic>Lactobacillus</italic> is considered beneficial for intestinal health and animal health, owing to their immunomodulation, pathogen inhibition and bacteriocin production ability (<xref ref-type="bibr" rid="B33">Kaewtapee et al., 2017</xref>; <xref ref-type="bibr" rid="B82">Zhao et al., 2022b</xref>). In the current study, broilers in the BCG2 group had higher <italic>Lactobacillus</italic> levels in both the ileum and cecum than those in the CT or BCG1 group, in agreement with findings from previous studies (<xref ref-type="bibr" rid="B27">Hung et al., 2019</xref>; <xref ref-type="bibr" rid="B82">Zhao et al., 2022b</xref>). An increase in <italic>Lactobacillus</italic> might have resulted from <italic>B. licheniformis</italic> BCG supplementation, which creates a suitable environment for the colonization of <italic>Lactobacillus</italic> anaerobic bacteria by consumption of oxygen in the gut (<xref ref-type="bibr" rid="B18">Fazelnia et al., 2021</xref>). In previous studies, <italic>Lactobacillus</italic> administration has been found to contribute to nutrient absorption by significantly increasing the expression of sugar transporter genes, including <italic>GLUT-2, GLUT-5, SGLT1</italic>, and <italic>SGLT4</italic> (<xref ref-type="bibr" rid="B17">Faseleh Jahromi et al., 2016</xref>). <italic>Lactobacillus</italic> enhances occludin levels and suppresses <italic>Escherichia coli</italic> invasion in intestinal epithelial cells (<xref ref-type="bibr" rid="B60">Resta-Lenert and Barrett, 2003</xref>). Moreover, <italic>Lactobacillus</italic> reverses LPS-induced disruption in tight junction proteins, such as occludin, claudin-1, and ZO-1 (<xref ref-type="bibr" rid="B85">Zhou et al., 2014</xref>; <xref ref-type="bibr" rid="B65">Roselli et al., 2017</xref>). These findings were consistent with our observations indicating that <italic>f_Lactobacillaceae</italic> and <italic>Lactobacillus</italic> were significantly positively correlated with the expression of <italic>ZO-1, claudin-1, mucin-2</italic>, and <italic>occludin</italic>, and the occludin expression in the BCG2 group was significantly higher than that in the CT group. In addition, <italic>Limosilactobacillus</italic> spp. and <italic>Lactobacillus</italic> spp. have been found to significantly decrease the abundance of <italic>Helicobacter</italic>, one of the most common pathogens globally associated with gastritis and cancer, by 90% and 83%, respectively, in an infected mouse model (<xref ref-type="bibr" rid="B81">Zhao et al., 2022a</xref>). Moreover, <italic>Limosilactobacillus</italic> spp. administration significantly increased the prevalence of <italic>Lactobacillus</italic> spp. but decreased the abundance of <italic>Desulfovibrio</italic>. These relationships among <italic>Limosilactobacillus, Lactobacillus, Helicobacter</italic>, and <italic>Desulfovibrio</italic> were consistent with the microbial structure shift induced by <italic>B. licheniformis</italic> BCG administration. <italic>Limosilactobacillus</italic> showed a significantly positive correlation with <italic>ZO-1</italic> expression and &#x03B1;-amylase activity. These findings indicated that the increase in <italic>f_Lactobacillaceae, Lactobacillus</italic>, and <italic>Limosilactobacillus</italic> levels attributed to <italic>B. licheniformis</italic> BCG treatment improved intestinal barrier function through interaction with epithelial cells in broilers.</p>
<p><italic>Desulfovibrionaceae</italic> is a family of opportunistic pathogens such as <italic>Desulfovibrio</italic>, which is a major sulfate-reducing bacterium that is ubiquitous in human intestines (<xref ref-type="bibr" rid="B28">Ichiishi et al., 2010</xref>). These sulfate-reducing bacteria destroy intestinal epithelial cells through generating large amounts of hydrogen sulfide (<xref ref-type="bibr" rid="B80">Zhang-Sun et al., 2015</xref>). In agreement with the current findings, <italic>B. licheniformis</italic> DSM5749 administration sustains intestinal health in laying hens by decreasing the <italic>Desulfovibrio</italic> level (<xref ref-type="bibr" rid="B56">Pan et al., 2022</xref>). <italic>Alistipes</italic> has been isolated from the appendicular, abdominal, perirectal, and brain abscesses, thus indicating a potential opportunistic pathogenic role in humans (<xref ref-type="bibr" rid="B57">Parker et al., 2020</xref>). A high relative abundance of <italic>Alistipes</italic> is strongly associated with gut disorders and host diseases, such as liver fibrosis and non-alcoholic steatohepatitis, which is inhibited by <italic>Bacillus licheniformis</italic> H2 administration (<xref ref-type="bibr" rid="B57">Parker et al., 2020</xref>; <xref ref-type="bibr" rid="B82">Zhao et al., 2022b</xref>). <italic>Campylobacter</italic> is well known as a major cause of acute bacterial enteritis in humans. Poultry is considered a major reservoir of <italic>Campylobacter</italic> and generally colonized by <italic>Campylobacter</italic> at the age of 2 weeks; therefore, <italic>Campylobacter</italic> may be as a principal vehicle of transmission to humans (<xref ref-type="bibr" rid="B16">Evans and Sayers, 2000</xref>; <xref ref-type="bibr" rid="B42">Lamb-Rosteski et al., 2008</xref>). Furthermore, <italic>Vibrio</italic>, a potential pathogen, should be harmful for host health (<xref ref-type="bibr" rid="B61">Richards et al., 2016</xref>). <italic>Streptococcus</italic> and <italic>Escherichia coli</italic> are pathogens that metabolize proteins in the small intestine (<xref ref-type="bibr" rid="B48">Ma et al., 2017</xref>). The above bacteria decreased after <italic>B. licheniformis</italic> BCG treatment, particularly in the BCG2 group. Dietary supplementation with <italic>B. licheniformis</italic> BCG significantly decreased the expression of pro-inflammatory molecules, and thus might decrease the risk of bacterial enteritis in broilers and its associated postinfectious sequelae in humans. However, in the present study, the relative abundance of <italic>Bacteroides, Prevotellaceae</italic>_UCG-003, and <italic>Prevotellaceae</italic>_NK3B31_group and <italic>Ruminococcaceae</italic>_UCG-005 were lower in the BCG1 and BCG2 groups than the CT group. As reported, <italic>Prevotella</italic> can metabolize plant cell walls and produce short chain fatty acids that benefit intestinal immunity homeostasis (<xref ref-type="bibr" rid="B59">Ramayo-Caldas et al., 2016</xref>). <italic>Prevotella</italic> and <italic>Prevotella_9</italic> show significantly negative correlations with levels of the pro-inflammatory cytokines IL-6 and IL-12 in the jejunum (<xref ref-type="bibr" rid="B21">Han et al., 2022</xref>). <italic>Bacteroides</italic> shows a significantly negative correlation with serum IL-6 but a positive correlation with IL-4 (<xref ref-type="bibr" rid="B78">Zhang et al., 2022a</xref>). The abundance of <italic>Ruminococcaceae</italic>, beneficial bacteria that are more commonly found in healthy people, is correlated with the production of short chain fatty acids (<xref ref-type="bibr" rid="B37">Koh et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Feng et al., 2022</xref>). These reports are contrary to those from a present study reporting that bacteria whose abundance decreased after <italic>B. licheniformis</italic> BCG administration are positively correlated with the pro-inflammatory molecules <italic>IL-8, TLR-4, NF-</italic>&#x03BA;<italic>B</italic>, or <italic>TNF-</italic>&#x03B1; expression; therefore, these findings must be verified in further study.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>5. Conclusion</title>
<p>The present study indicated that dietary <italic>B. licheniformis</italic> BCG significantly increased jejunal and ileal &#x03B1;-amylase, maltase, and sucrase activity; up-regulated ileal <italic>occludin</italic> mRNA levels; and decreased the transcript abundance of <italic>IL-8</italic> and <italic>TLR-4</italic> in the ileum in broilers. Diets with <italic>B. licheniformis</italic> BCG significantly decreased bacterial community richness and diversity in the ileum but not the cecum. Dietary <italic>B. licheniformis</italic> BCG shaped the ileac microbiota; increased the prevalence of <italic>f_Sphingomonadaceae, Sphingomonas</italic>, and <italic>Limosilactobacillus</italic>; contributed to nutrient digestion and absorption; increased the prevalence of <italic>f_Lactobacillaceae, Lactobacillus</italic>, and <italic>Limosilactobacillus</italic>; and enhanced intestinal barrier function. In addition, dietary <italic>B. licheniformis</italic> BCG decreased microbial community diversity; decreased the abundance of <italic>Desulfovibrio, Alistipes Campylobacter, Vibrio, Streptococcus</italic>, and <italic>Escherichia coli</italic>-Shigella; and down-regulated expression of inflammatory molecules. Therefore, diets with <italic>B. licheniformis</italic> BCG contributed to broiler digestion and absorption of nutrients; enhanced the intestinal physical barrier; and decreased intestinal inflammation by decreasing microbial diversity and optimizing the microbiota structure. Our data provided a theoretical basis for <italic>B. licheniformis</italic> BCG application in broilers.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: NCBI - <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA648691">PRJNA648691</ext-link>.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by the Institutional Animal Care and Use Committee of the Institute of Feed Research of Chinese Academy of Agricultural Sciences (FRI-CAAS20210827).</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YH, JW, and PY designed the experiments. XX, DL, HZ, and YH conducted experiments and collected samples. JW, XX, and HC performed sample analysis. YH analyzed the data. YH, PY, and KM wrote and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded by the National Key Research and Development Program of China (2022YFD1300601), the Special Basic Research Fund for Central Public Research Institutes (1610382022010), and the Hebei Province Key Research and Development Program of China (22326624D).</p>
</sec>
<ack>
<p>We gratefully acknowledge all professors and students in the Institute of Feed Research, Chinese Academy of Agricultural Sciences for their assistance in conducting experiments and revising the article.</p>
</ack>
<sec id="S11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn id="footnote1">
<label>1</label>
<p><ext-link ext-link-type="uri" xlink:href="http://ccb.jhu.edu/software/FLASH/">http://ccb.jhu.edu/software/FLASH/</ext-link></p></fn>
<fn id="footnote2">
<label>2</label>
<p><ext-link ext-link-type="uri" xlink:href="http://drive5.com/uparse/">http://drive5.com/uparse/</ext-link></p></fn>
<fn id="footnote3">
<label>3</label>
<p><ext-link ext-link-type="uri" xlink:href="http://www.arb-silva.de/">http://www.arb-silva.de/</ext-link></p></fn>
</fn-group>
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