<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1647377</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>
<italic>Enterocytozoon bieneusi</italic> infection disrupts bile acid metabolism in the wild rodent gut microbiota: adaptive shifts in microbial metabolism and community structure</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Shang</surname>
<given-names>Kai-Meng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Ma</surname>
<given-names>He</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2764335/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Yong-Jie</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Ji-Xin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname>
<given-names>Ya</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jian-Ming</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Zi-Yu</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Hai-Long</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2879617/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Quan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1309152/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Bei-Ni</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Elsheikha</surname>
<given-names>Hany M.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/138889/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xiao-Xuan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/408812/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Xing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1066351/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Integrated Laboratory of Pathogenic Biology, College of Preclinical Medicine, Dali University</institution>, <addr-line>Dali</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>College of Life Sciences, Changchun Sci-Tech University</institution>, <addr-line>Shuangyang, Jilin</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>College of Veterinary Medicine, Qingdao Agricultural University</institution>, <addr-line>Qingdao, Shandong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>College of Veterinary Medicine, Jilin Agricultural University</institution>, <addr-line>Changchun, Jilin</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Faculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, University of Nottingham</institution>, <addr-line>Loughborough</addr-line>,&#xa0;<country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/815734/overview">Chao Yan</ext-link>, Xuzhou Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/640517/overview">Feilong Deng</ext-link>, Foshan University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1058870/overview">Juan Li</ext-link>, Guangdong Academy of Agricultural Sciences, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2195355/overview">Koda Stephane</ext-link>, Xuzhou Medical University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Bei-Ni Chen, <email xlink:href="mailto:xihani@126.com">xihani@126.com</email>; Hany M. Elsheikha, <email xlink:href="mailto:Hany.Elsheikha@nottingham.ac.uk">Hany.Elsheikha@nottingham.ac.uk</email>; Xing Yang, <email xlink:href="mailto:yang08220013@163.com">yang08220013@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1647377</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Shang, Ma, Wei, Zhao, Qin, Li, Zhao, Yu, Zhao, Chen, Elsheikha, Zhang and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Shang, Ma, Wei, Zhao, Qin, Li, Zhao, Yu, Zhao, Chen, Elsheikha, Zhang and Yang</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>
<sec>
<title>Introduction</title>
<p>Bile acids (BAs) are central to host&#x2013;microbiota interactions, yet their metabolism in wild rodents remains poorly characterized. This study aimed to explore the genomic potential of gut microorganisms in wild rodents for BA metabolism and its implications for host adaptation and pathogen interactions.</p>
</sec>
<sec>
<title>Methods</title>
<p>We reconstructed 6,332 genomes from the gut microbiota of wild rodents and performed genome-resolved metabolic profiling. Comparative analyses were conducted across host species, including humans, pigs, laboratory mice, and chickens. Functional enrichment was further assessed in relation to glycoside hydrolase families and Enterocytozoon bieneusi infection status.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 5,208 genomes were identified as participants in key BA metabolic pathways, including deconjugation, oxidation, and dihydroxylation, predominantly from Bacillota_A and Bacteroidota. Notably, Muribaculaceae and CAG-485 lineages within Bacteroidota encoded bile salt hydrolase (BSH). Cross-species comparisons revealed a striking absence of 7&#x3b2;-hydroxysteroid dehydrogenase (7&#x3b2;-HSDH) in laboratory mice, indicating their limited suitability for modeling intestinal BA metabolism. BSH-encoding genomes were significantly enriched in glycoside hydrolase families GH13 and GH16, suggesting a potential link between BA transformation and carbohydrate metabolism. Furthermore, Enterocytozoon bieneusi infection was associated with a marked increase in BA-related microbial taxa in wild rodents.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Our findings highlight the intricate interconnections between gut microbial functions, BA metabolism, and pathogen interactions. The absence of 7&#x3b2;-HSDH in laboratory mice underscores wild rodents as potentially more suitable models for BA research. These results open new avenues for understanding microbiome-driven host adaptation and health.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gut microbiota</kwd>
<kwd>microbial functional profiling</kwd>
<kwd>bile acid metabolism</kwd>
<kwd>
<italic>Enterocytozoon bieneusi</italic>
</kwd>
<kwd>rodentia</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="75"/>
<page-count count="12"/>
<word-count count="4721"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Parasite and Host</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The gut microbiota plays a central role in host metabolism, influencing digestion, immune function, and susceptibility to disease (<xref ref-type="bibr" rid="B28">Krishnan et&#xa0;al., 2015</xref>). Among the many microbial processes within the gut, bile acid (BA) metabolism is particularly significant due to its involvement in lipid absorption, intestinal homeostasis, and the regulation of metabolic disorders (<xref ref-type="bibr" rid="B18">Guan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B72">Wang et&#xa0;al., 2024b</xref>). BAs, synthesized in the liver, undergo extensive microbial modifications in the gut, which not only modulate their chemical properties but also reshape host metabolic pathways (<xref ref-type="bibr" rid="B50">Ram&#xed;rez-P&#xe9;rez et&#xa0;al., 2017</xref>).</p>
<p>While BA metabolism has been extensively studied in model organisms (<xref ref-type="bibr" rid="B66">Staley et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B44">Mohanty et&#xa0;al., 2024</xref>), much less is known about these microbial functions in wild animals. In particular, the gut microbiomes of wild rodents, an ecologically diverse and abundant group, remain underexplored. These animals offer a unique opportunity to study microbiota-driven metabolic processes in natural settings (<xref ref-type="bibr" rid="B57">Rosshart et&#xa0;al., 2019</xref>). Unlike their laboratory counterparts, wild rodents are exposed to variable diets, environments, and microbial landscapes (<xref ref-type="bibr" rid="B58">Rosshart et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B62">Schmidt et&#xa0;al., 2019</xref>), all of which can shape distinct microbiome compositions and functional capacities, including BA metabolism. Bridging this gap is essential for advancing our understanding of microbiome diversity and its influence on host physiology beyond controlled experimental systems.</p>
<p>Moreover, the gut microbiota is highly responsive to pathogenic infections, which can disrupt microbial balance and alter host metabolism (<xref ref-type="bibr" rid="B69">Vich Vila et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B68">Trzebny et&#xa0;al., 2023</xref>). In this context, it is important to note that laboratory mice maintained under controlled, pathogen-free conditions exhibit markedly different immune responses from their wild counterparts (<xref ref-type="bibr" rid="B58">Rosshart et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B4">Beura et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B40">Mair et&#xa0;al., 2021</xref>), largely because the latter inhabit complex natural environments where coinfections are common and many sources of variation present in nature are eliminated in the laboratory. Among the pathogens relevant to such natural settings, one such notable example is <italic>Enterocytozoon bieneusi</italic>, a microsporidian parasite, has been shown to significantly reshape gut microbial communities with potential consequences for host health (<xref ref-type="bibr" rid="B38">L&#xf3;pez-Carvallo et&#xa0;al., 2022</xref>). However, the effects of <italic>E. bieneusi</italic>-induced microbiota shift on BA metabolism remain largely uncharacterized, especially in wild rodent populations. Investigating these dynamics may uncover novel interactions between pathogens, microbiota, and host metabolic pathways.</p>
<p>In this study, we performed a genome-resolved metagenomic analysis of the gut microbiota in wild rodents, with a specific focus on microbial taxa and functional genes involved in bile acid metabolism. Leveraging a high-quality genomic dataset, we characterized microbial diversity, taxonomic structure, and key BA-related pathways, while also assessing the impact of <italic>E. bieneusi</italic> infection on these microbial communities. Our findings provide new insights into the ecological and metabolic roles of the wild rodent gut microbiome and highlight the complex interplay between host, microbiota, and pathogen in shaping metabolic function and health outcomes.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Data collection, genome preprocessing and gene prediction</title>
<p>We assembled a comprehensive dataset comprising 14,061 gut microbiome genomes from wild rodents, generated by our laboratory (<xref ref-type="bibr" rid="B63">Shang et&#xa0;al., 2025</xref>). To ensure data quality and reliability, genome completeness and contamination were evaluated using CheckM2 (v1.0.1) (<xref ref-type="bibr" rid="B9">Chklovski et&#xa0;al., 2023</xref>). To ensure stringent quality standards, we adopted more rigorous thresholds than those used in previous studies (<xref ref-type="bibr" rid="B32">Lin et&#xa0;al., 2023</xref>), retaining only genomes with &#x2265; 80% completeness and &#x2264; 5% contamination for downstream analyses.</p>
<p>To remove redundancy, genome dereplication was performed using dRep (v3.4.3) (<xref ref-type="bibr" rid="B47">Olm et&#xa0;al., 2017</xref>). We applied distinct similarity thresholds depending on resolution: for strain-level dereplication, parameters were set at -pa 0.9, -sa 0.99, -nc 0.30 and for species-level clustering, we used -pa 0.9, -sa 0.95, -nc 0.30. High-quality, non-redundant genomes were taxonomically classified using the classify_wf module of GTDB-Tk (v2.3.2) (<xref ref-type="bibr" rid="B8">Chaumeil et&#xa0;al., 2022</xref>), referencing the GTDB database for consistent phylogenomic placement. Open reading frames (ORFs) were predicted for each genome using Prodigal (v2.6.3) (<xref ref-type="bibr" rid="B21">Hyatt et&#xa0;al., 2010</xref>), enabling subsequent functional annotation.</p>
<p>To explore phylogenetic relationships, we constructed a maximum likelihood tree using PhyloPhlAn (v3.0.67) (<xref ref-type="bibr" rid="B2">Asnicar et&#xa0;al., 2020</xref>). Tree visualization and annotation were performed using the iTOL (v6.9.1) (<xref ref-type="bibr" rid="B31">Letunic and Bork, 2021</xref>), allowing clear representation of taxonomic structure and genome-level traits. To assess the relative abundance of strain-level genomes, we analyzed metagenomic reads derived from our previous study of <italic>E. bieneusi</italic> infection (BioProject: PRJNA1175865). Clean reads from infected (<italic>n</italic> = 10) and uninfected control (<italic>n</italic> = 10) wild rodents were aligned to the dereplicated genome set using Bowtie2 (v2.5.0) with default parameters (<xref ref-type="bibr" rid="B29">Langmead and Salzberg, 2012</xref>). Read counts were normalized to transcripts per kilobase million (TPM) to facilitate accurate comparisons of genome abundance across samples.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Functional annotation</title>
<p>To characterize the functional potential of the gut microbiome, protein-coding sequences were annotated using DIAMOND (v2.1.8.162) (<xref ref-type="bibr" rid="B5">Buchfink et&#xa0;al., 2015</xref>) against the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Searches were conducted with the parameters &#x2013;min-score 60 &#x2013;query-cover 70 to ensure high-confidence matches. From the resulting KEGG orthologs (KOs), we specifically extracted those associated with secondary bile acid biosynthesis (KEGG pathway map00121), including the following key KOs: K00076, K01442, K07007, K15868&#x2013;K15874, K22604&#x2013;K22607, and K23231. The presence, genomic location, and copy number of these KOs were determined for each genome. To further evaluate carbohydrate metabolism potential, protein-coding genes were annotated using the Carbohydrate-Active enZYmes (CAZy) database (<xref ref-type="bibr" rid="B37">Lombard et&#xa0;al., 2014</xref>). DIAMOND searches were performed with the parameters &#x2013;min-score 60 and &#x2013;query-cover 50. For both KEGG and CAZy annotations, the alignment with the highest bit score was selected as the best hit and used to assign functional and taxonomic identities to the corresponding ORFs.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analyses and visualization</title>
<p>All statistical analyses were performed in R (v4.2.2). Microbial taxonomic and functional gene abundance data were used to calculate alpha diversity metrics, including Richness and Shannon indices. &#x3b2;-diversity was assessed using Principal Coordinate Analysis (PCoA) based on Bray-Curtis dissimilarity, with group differences evaluated using permutational multivariate analysis of variance (PERMANOVA). To compare diversity indices, taxonomic profiles, and functional gene abundances between groups, the Wilcoxon rank-sum test was applied. Results were considered statistically significant at <italic>p</italic> &lt; 0.05, unless otherwise specified. For data visualization, heatmaps were produced using the ComplexHeatmap R package (v2.8.0), while Sankey diagrams were generated using the &#x2018;ggsankey&#x2019; package (v0.0.9). All other visualizations, including boxplots, bar charts, and ordination plots, were generated using the &#x2018;ggplot2&#x2019; package (v4.2.3).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Collection, quality assessment, and taxonomic characterization of intestinal genomes from wild rodents</title>
<p>Following quality control (completeness &#x2265; 80%, contamination &#x2264; 5%), a total of 7,403 genomes were initially recovered. After removing redundancy using a 99% average nucleotide identity (ANI), 6,332 non-redundant genomes were retained for downstream analysis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). The genomes varied in size from 0.55 to 9.54 Mbp (mean: 2.41 Mbp), with GC content ranging between 22.21% and 73.42% (mean: 48.96%) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). On average, genome completeness was 91.08%, while contamination remained low at 1.18% (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Among the retained genomes, 3,507 genomes (28.74%) met high-quality standards (completeness &#x2265; 90% and contamination &#x2264; 5% (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Gene prediction across the dataset yielded a comprehensive catalog of 14,030,587 genes. Species-level genome bins (SGBs) were defined by clustering genomes at 95% ANI, resulting in 3,783 unique SGBs. Taxonomic classification revealed broad microbial diversity, encompassing 23 phyla, 156 families, and 621 genera. The majority of SGBs belonged to the phylum <italic>Bacillota_A</italic> (50.78%), followed by <italic>Bacteroidota</italic> (25.03%) and <italic>Bacillota</italic> (7.14%). At the family level, the most abundant were <italic>Lachnospiraceae</italic> (20.86%), <italic>Muribaculaceae</italic> (15.89%), and <italic>Ruminococcaceae</italic> (7.38%) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Genomic characteristics of intestinal microbiota from wild rodents. <bold>(A)</bold> Workflow illustrating the genome processing pipeline, including quality filtering and redundancy removal. <bold>(B, C)</bold> Summary statistics of the 6,332 high- and medium-quality genomes, showing genome size, GC content, completeness, and contamination. <bold>(D)</bold> Maximum likelihood phylogenetic tree of 3,783 species-level genome bins (SGBs), colored by phylum and annotated with dominant families.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1647377-g001.tif">
<alt-text content-type="machine-generated">Flowchart A shows genome selection from 14,061 to 7,403 genomes with specific completeness and contamination criteria. Panels B and C display scatter plots of GC content versus genome size and contamination versus completeness. Panel D provides a color-coded phylogenetic tree with corresponding legend, showing taxonomy information including phylum, family, and genus.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Genomic characterization of bile acid transformation pathways in the intestinal microbiota of wild rodents</title>
<p>This study investigated the potential of gut microbiota in wild rodents to mediate BA transformation through KEGG-based functional annotation. A total of 10,051 genes associated with BA metabolic pathways, specifically deconjugation, oxidation, and dihydroxylation, were identified across 5,208 genomes, representing more than 80% of the total dataset (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). The majority of these genes were found in bacteria from the phylum <italic>Bacillota_A</italic> (primarily class <italic>Clostridia</italic>), followed by <italic>Bacteroidota</italic> and <italic>Actinomycetota</italic>. At the family level, <italic>Lachnospiraceae</italic> was the most abundant, followed by <italic>Muribaculaceae</italic> and <italic>Oscillospiraceae</italic> (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Among these 5,208 genomes, 2,818 encoded bile salt hydrolase (BSH) (choloylglycine hydrolase [K01442; EC:3.5.1.24]), an enzyme that catalyzes the deconjugation of bile salts. These BSH-carrying genomes spanned 10 phyla, with the largest contributions from <italic>Bacteroidota</italic> (52.56%), followed by <italic>Bacillota_A</italic> (26.41%) and <italic>Bacillota</italic> (8.87%) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The most enriched BSH-associated families included <italic>Muribaculaceae</italic> (<italic>n</italic> = 1,064), <italic>Lachnospiraceae</italic> (<italic>n</italic> = 478), and <italic>Rikenellaceae</italic> (<italic>n</italic> = 219), with the predominant genera being <italic>CAG-485</italic> (<italic>n</italic> = 302) and <italic>CAG-873</italic> (<italic>n</italic> = 245) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). Additionally, 609 genomes encoded 7-alpha-hydroxysteroid dehydrogenase (7&#x3b1;-HSDH) [K00076; EC:1.1.1.159]), which catalyzes the NAD(P)+-dependent oxidation of hydroxyl groups in deconjugated bile acids. These genomes were predominantly affiliated with <italic>Bacteroidota</italic> (65.68%), followed by <italic>Bacillota_</italic>A (15.29%) and <italic>Campylobacterota</italic> (8.74%) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). In contrast, only 34 genomes were found to encode <italic>baiB</italic> (bile acid&#x2013;CoA ligase [K15868; EC:6.2.1.7]), a key enzyme in the 7&#x3b1;-dehydroxylation pathway responsible for converting primary BAs into secondary BAs via CoA ligation. These genomes belonged to just two phyla&#x2014;<italic>Bacillota_A</italic> (88.24%) and <italic>Actinomycetota</italic> (11.76%) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). This limited distribution suggests that only a small subset of bacterial taxa in wild rodents possess the capacity for full secondary BA biosynthesis, highlighting a niche functional specialization.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Bile acid transformation capacity of intestinal microbiota in wild rodents. <bold>(A)</bold> Taxonomic distribution of the 5,208 genomes carrying bile acid (BA) transformation genes. Rectangles represent taxonomic levels; their lengths correspond to the number of genomes in each group. <bold>(B&#x2013;D)</bold> Proportions of genomes encoding key enzymes involved in BA metabolism: <bold>(B)</bold> BSH, <bold>(C)</bold> 7&#x3b1;-HSDH, and <bold>(D)</bold> baiB.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1647377-g002.tif">
<alt-text content-type="machine-generated">Sankey diagram and pie charts illustrating microbial taxonomy. The Sankey diagram (A) shows the flow from phylum to species, highlighting relationships and proportions. Pie chart (B) depicts relative abundances of phyla, with Bacteroidota comprising 52.56%. Chart (C) shows Bacteroidota at 65.68%, and chart (D) highlights Bacillota_A at 88.24%. Labels indicate specific groups, emphasizing differences in microbial composition.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Distinct bile acid transformation pathways in the intestinal microbiota of wild rodents</title>
<p>To investigate host-specific variation in BA-metabolizing microbiota, 5,208 intestinal genomes derived from wild rodents were compared against published metagenome-assembled genomes (MAGs) from other host species, including humans (2,294 MAGs) (<xref ref-type="bibr" rid="B45">Nayfach et&#xa0;al., 2019</xref>), pigs (1,411 MAGs) (<xref ref-type="bibr" rid="B17">Gaio et&#xa0;al., 2021</xref>), chickens (2,113 MAGs), and laboratory mice (1,416 MAGs) (<xref ref-type="bibr" rid="B26">Kieser et&#xa0;al., 2022</xref>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). Functional annotation revealed that these MAGs encoded a diverse repertoire of BA-related KOs: 3,499 KOs in humans, 2,229 in pigs, 2,897 in chickens, and 2,644 in laboratory mice. Remarkably, 7&#x3b2;-HSDH (K23231) was absent in the laboratory mouse dataset, although it was detected in all other host species (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). Focusing on BA deconjugation, BSH was widely distributed across all host species, occurring in 31.08% of human MAGs, 29.20% of pig MAGs, 36.82% of chicken MAGs, 36.44% of laboratory mouse MAGs, and a markedly higher 44.50% of wild rodent genomes.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Host-specific bile acid metabolism by the intestinal microbiota. <bold>(A)</bold> Comparative analysis of KEGG orthologs (KOs) associated with bile acid transformation pathways across the intestinal microbiota of wild rodents, laboratory mice (Lab), humans, and pigs. <bold>(B, C)</bold> Taxonomic distribution of BSH-encoding metagenome-assembled genomes (MAGs) at the phylum and family levels, respectively, across different host species. <bold>(D)</bold> Taxonomic classification of BSH-carrying MAGs at the family level in the intestines of wild rodents.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1647377-g003.tif">
<alt-text content-type="machine-generated">(A) Stacked bar graph showing the proportion of different KO categories across samples from chicken, human, lab, pig, and wild groups. (B) Bubble chart illustrating the presence of various microbial phyla in human, pig, chicken, lab, and wild samples, with bubble size indicating module type. (C) Four doughnut charts depicting the diversity of microbial families in human, chicken, lab, and pig samples, with percentages highlighted for specific families. (D) Pie chart showing the distribution of microbial families, with Actualibacteraceae and Bacteroidaceae highlighted prominently.</alt-text>
</graphic>
</fig>
<p>Taxonomic profiling showed that <italic>Bacillota_A</italic> dominated among BSH-positive MAGs in laboratory mice and pigs, whereas <italic>Bacteroidota</italic> was the predominant phylum in humans, chickens, and wild rodents (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). At the family level, BSH-carrying MAGs were most frequently assigned to <italic>Lachnospiraceae</italic> in pigs (10.44%), laboratory mice (33.72%), and chickens (13.37%), while in humans, <italic>Coriobacteriaceae</italic> was the most dominant family (20.62%). In contrast, wild rodents displayed a unique profile, with <italic>Muribaculaceae</italic> (37.20%) as the leading BSH-harboring family, followed closely by <italic>Lachnospiraceae</italic> (37.12%) (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>). Interestingly, the genus <italic>CAG-485</italic> represented the most abundant BSH carrier in wild rodents (10.56%), while its prevalence was markedly lower in other host species (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Taken together, these findings highlight distinct host-specific configurations of bile acid&#x2013;metabolizing microbiota. The enrichment of <italic>Muribaculaceae</italic> and <italic>CAG-485</italic> in wild rodents suggests a specialized microbial adaptation to the environmental and dietary pressures unique to their ecological niche.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Functional characterization of BSH-carrying microbial genomes in the intestine of wild rodents</title>
<p>The initial step in BA metabolism is the deconjugation of primary BAs, catalyzed by BSH, a critical reaction that facilitates bile tolerance and microbial adaptation to selective pressures of the intestinal environment (<xref ref-type="bibr" rid="B19">Guzior and Quinn, 2021</xref>; <xref ref-type="bibr" rid="B22">Jones et&#xa0;al., 2008</xref>). To investigate the functional potential of BSH-carrying microbes in wild rodents, genomes within the genus <italic>CAG-485</italic> were analyzed. Of the 328 genomes assigned to this genus, 31 lacked BSH and were categorized as non-BA genomes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>). Comparative functional profiling using carbohydrate-active enzymes revealed significant differences between BSH-positive and BSH-negative genomes. In particular, BSH-carrying genomes showed a significantly higher prevalence of GH13 and GH16, glycoside hydrolase families linked to carbohydrate metabolism and gut colonization. Strikingly, the GH63 family was found exclusively in BSH-carrying genomes and was completely absent in non-BSH genomes (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>). Although the exact role of GH63 in BA metabolism is not yet fully defined, its strong co-occurrence with BSH suggests a synergistic functional relationship that may promote microbial fitness and resilience in the gut environment. These findings point to a distinct functional advantage of BSH-carrying microbes, highlighting their potential to coordinate BA transformation with enhanced carbohydrate metabolism, an adaptation that may confer a competitive edge within the rodent intestinal microbiome.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Functional enrichment of BSH-carrying genomes in the <italic>CAG-485</italic> genus. Functional profiling of BSH-positive and BSH-negative <italic>CAG-485</italic> genomes from the intestines of wild rodents. The plot highlights enrichment of specific CAZyme families, notably GH13, GH16, and GH63, suggesting their involvement in gut adaptation and potential interaction with bile acid metabolism.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1647377-g004.tif">
<alt-text content-type="machine-generated">Heat map displaying the abundance of BSH and non-BSH associated with various samples, indicated on the y-axis. The intensity of red color represents higher abundance levels, with a gradient scale from light to dark red. The x-axis lists the sample types in fine print.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Alterations in gut microbiota and BA biosynthesis in wild rodents infected with <italic>E. bieneusi</italic>
</title>
<p>The gut microbiota plays a crucial role in BA biosynthesis; however, its response to parasitic infection, particularly by <italic>E. bieneusi</italic>, remains unclear. To investigate this interaction, we analyzed the gut microbiome data from wild rodents naturally infected with <italic>E. bieneusi</italic>, focusing on microbial genomes involved in BA biosynthesis. Alpha and beta diversity metrics were used to assess community structure and composition. Alpha diversity, measured using the Richness and Shannon indices, revealed a significant increase in the richness of BA biosynthesis-associated genomes in the <italic>E. bieneusi</italic>-infected group. The Shannon diversity index was also significantly elevated compared to the control (CON) group, indicating greater community evenness and complexity post-infection (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>). PCoA based on Bray-Curtis dissimilarity demonstrated a clear shift in microbial composition between infected and uninfected groups, with a clear distinction between the <italic>E. bieneusi</italic> and CON groups (R&#xb2; = 0.0816, <italic>p</italic> &lt; 0.042), suggesting that <italic>E. bieneusi</italic> infection leads to significant microbiome restructuring (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). Taxonomic profiling of BA biosynthesis-related genomes identified <italic>Bacillota_A</italic> as the most abundant phylum, followed by <italic>Bacillota</italic> and <italic>Bacteroidota</italic> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>). Interestingly, <italic>Bacillota_C</italic> abundance was significantly higher in the <italic>E. bieneusi</italic>-infected group compared to the control (<italic>p</italic> &lt; 0.05), highlighting a specific microbial response to infection (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>). Further functional analysis revealed an increased prevalence of key BA transforming enzymes, BSH, 7&#x3b1;-HSDH, and <italic>baiB</italic>, in the infected group relative to the control (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>). This suggest that <italic>E. bieneusi</italic> infection not only reshapes microbial community composition but also enhances BA biosynthesis potential, with possible implications for host metabolism and gut homeostasis.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Gut microbiota and BA metabolism response to <italic>Enterocytozoon bieneusi</italic> infection. <bold>(A, B)</bold> Boxplots comparing Richness and Shannon diversity indices between the control (CON) and <italic>E. bieneusi</italic>-infected (EB) groups. Statistical significance was determined using the Wilcoxon rank-sum test (*, <italic>p</italic> &lt; 0.05). <bold>(C)</bold> Principal Coordinates Analysis (PCoA) plot based on Bray&#x2013;Curtis dissimilarity, illustrating &#x3b2;-diversity and compositional differences between groups. <bold>(D)</bold> Stacked bar chart showing the relative abundance of major phyla associated with BA biosynthesis in the cecal microbiota. <bold>(E)</bold> Boxplot comparing the abundance of phylum <italic>Bacillota_C</italic> between CON and EB groups (*<italic>, p</italic> &lt; 0.05). <bold>(F)</bold> Relative abundance of three key bile acid metabolism genes, <italic>BSH</italic>, <italic>7&#x3b1;-HSDH</italic>, and <italic>baiB</italic>, in the CON and EB groups. **, p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1647377-g005.tif">
<alt-text content-type="machine-generated">Panel A shows a box plot comparing richness levels between CON and EB groups, indicating a significant difference. Panel B presents a box plot for Shannon diversity, showing similar results. Panel C displays a PCoA plot based on Bray-Curtis distance, with distinct clustering between groups. Panel D is a stacked bar chart of phylum-level relative abundances in both groups. Panel E contains a box plot comparing the relative abundance of Bacillota_C between groups, showing a significant difference. Panel F is a violin plot showing the relative abundance of BSH, 7alpha, and baiB, with differences between CON and EB groups.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study provides new insights into the gut microbiota of wild rodents, highlighting both their extensive microbial diversity and the specialized metabolic pathways involved in BA transformation. Analysis of 5,208 high-quality microbial genomes revealed distinctive compositional patterns, particularly the dominance of <italic>Muribaculaceae</italic>, with the genus <italic>CAG-485</italic> emerging as a central contributor to BA metabolism. These findings indicate that wild rodents harbor highly adapted microbial consortia capable of modulating host metabolic processes and underscore the importance of further research into the physiological consequences of microbial BA transformations.</p>
<p>Metagenomic sequencing enabled comprehensive functional profiling of the gut microbiome, overcoming the taxonomic and functional limitations of 16S rRNA sequencing (<xref ref-type="bibr" rid="B10">Claesson et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B25">Kennedy et&#xa0;al., 2014</xref>). This approach facilitated direct inference of microbial functions and enabled metagenome-wide association studies linking microbiome structure to host phenotypes and disease (<xref ref-type="bibr" rid="B70">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B7">Chaston et&#xa0;al., 2014</xref>). In this study, the dominant phyla were <italic>Bacillota_A</italic>, <italic>Bacteroidota</italic>, and <italic>Actinomycetota</italic>, with <italic>Lachnospiraceae, Muribaculaceae</italic>, and <italic>Ruminococcaceae</italic> as the most abundant families. These taxonomic patterns likely reflect adaptations to ecological niches and diet (<xref ref-type="bibr" rid="B56">Rinninella et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B14">Couch et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B46">Ogasawara et&#xa0;al., 2023</xref>).</p>
<p>Primary BAs are synthesized in the liver and subsequently modified gut microbiota into secondary BAs (<xref ref-type="bibr" rid="B55">Ridlon et&#xa0;al., 2006</xref>). Using metagenomic data, we identified 10,051 genes across 5,208 genomes involved in BA transformation, including deconjugation, oxidation, and dihydroxylation processes (<xref ref-type="bibr" rid="B19">Guzior and Quinn, 2021</xref>; <xref ref-type="bibr" rid="B54">Ridlon et&#xa0;al., 2016</xref>). The microbial community involved in BA metabolism was dominated by <italic>Bacillota_A</italic> (50.78%), followed by <italic>Bacteroidota</italic> (25.03%) and <italic>Actinomycetota</italic>, with key roles played by <italic>Lachnospiraceae</italic>, <italic>Muribaculaceae</italic>, and <italic>Oscillospiraceae</italic>. These taxa are essential to BA metabolism and may influence host immunity and inflammatory responses (<xref ref-type="bibr" rid="B6">Cai et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B36">Lloyd-Price et&#xa0;al., 2019</xref>).</p>
<p>Gut microbiota-mediated BA metabolism affects host lipid digestion, cholesterol regulation, and multiple signaling pathways (<xref ref-type="bibr" rid="B74">Yang et&#xa0;al., 2021</xref>). A pivotal reaction in this pathway is the hydrolysis of conjugated BAs, catalyzed by bile salt hydrolases (<xref ref-type="bibr" rid="B53">Ridlon and Gaskins, 2024</xref>). While BSH activity has traditionally been associated with <italic>Firmicutes</italic> (<xref ref-type="bibr" rid="B27">Kisiela et&#xa0;al., 2012</xref>), our data reveal a broader taxonomic distribution, with significant contributions from <italic>Bacteroidota</italic> and <italic>Bacillota_A</italic>. BSH genes were identified in genera including <italic>Lactobacillus</italic>, <italic>Bifidobacterium</italic>, <italic>Clostridium</italic>, <italic>Bacteroides</italic> and <italic>Enterococcus</italic> (<xref ref-type="bibr" rid="B65">Song et&#xa0;al., 2019</xref>). Interestingly, 2,818 BSH-encoding genomes were found in wild rodents, many affiliated with <italic>CAG-485</italic> and <italic>CAG-873</italic> (<italic>Muribaculaceae</italic> and <italic>Lachnospiraceae</italic>, respectively), emphasizing their central role in modulating the host bile acid pool.</p>
<p>Microbes encoding 7&#x3b1;-HSDH, involved in the oxidation of deconjugated BAs, were less abundant but still critical (<xref ref-type="bibr" rid="B16">Funabashi et&#xa0;al., 2020</xref>). We identified 609 such genomes, primarily from <italic>Bacteroidota</italic> (<xref ref-type="bibr" rid="B15">Ferrandi et&#xa0;al., 2012</xref>). In contrast, only 34 genomes encoded <italic>baiB</italic>, a key gene in secondary BA synthesis (<xref ref-type="bibr" rid="B43">Mihalik et&#xa0;al., 2002</xref>), suggesting that late-stage BA transformation is limited to a small subset of taxa. These observations highlight the broad yet uneven distribution of BA metabolic capabilities and reinforce the ecological importance of these microbial pathways (<xref ref-type="bibr" rid="B33">Lin et&#xa0;al., 2023</xref>).</p>
<p>BA metabolism varies widely across host species due to differences in host physiology and environmental exposure (<xref ref-type="bibr" rid="B67">Thakare et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B75">Zhang et&#xa0;al., 2022</xref>). Comparative analyses revealed distinct patterns in BA metabolic gene profiles between wild rodents and other species (humans, pigs, chickens, and laboratory mice), reflecting co-evolution between microbial communities and host-specific bile acid compositions (<xref ref-type="bibr" rid="B64">Sinha et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B61">Sayin et&#xa0;al., 2013</xref>). For example, bacterial 7&#x3b2;-HSDHs mediate the conversion of 7-oxo-lithocholic acid to ursodeoxycholic acid, a bile acid with therapeutic applications (<xref ref-type="bibr" rid="B30">Lee et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B15">Ferrandi et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B34">Liu et&#xa0;al., 2011</xref>). Interestingly, the 7&#x3b2;-HSDH gene was absent in laboratory mice, highlighting divergences in BA pathways likely driven by domestication and constrained microbial diversity (<xref ref-type="bibr" rid="B73">Wei et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B39">Ma et&#xa0;al., 2020</xref>). While laboratory mice are foundational to gut microbiota research, their controlled environments may constrain microbial diversity and functionality (<xref ref-type="bibr" rid="B20">Hanski et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B58">Rosshart et&#xa0;al., 2017</xref>), limiting their suitability as models for BA-related studies. These findings advocate for the increased use of wild-type mice as more ecologically relevant models in microbiome and bile acid research.</p>
<p>Although dietary differences undoubtedly shape gut microbial communities, recent studies have demonstrated that host genotype and ecological context exert profound influences on microbial function independent of diet (<xref ref-type="bibr" rid="B59">Rothschild et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B41">Maurice et&#xa0;al., 2015</xref>). Moreover, research on wild versus captive animals has revealed consistent shifts in microbial diversity and metabolic potential due to domestication and environmental constraints (<xref ref-type="bibr" rid="B11">Clayton et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B51">Reese and Dunn, 2018</xref>). Wild rodents, living under natural ecological conditions and exposed to diverse microbial and dietary inputs, exhibit distinct BA-transforming microbial profiles compared to laboratory mice. These differences likely reflect long-term host-microbe co-adaptation and ecological pressures rather than dietary influences alone.</p>
<p>Bile tolerance is a vital trait that enables microbial communities to survive and function effectively within the intestinal environment (<xref ref-type="bibr" rid="B32">Lin et&#xa0;al., 2023</xref>). In this study, functional profiling of BSH-positive genomes, particularly from the dominant <italic>CAG-485</italic> lineage, revealed key metabolic traits that may confer bile resistance and competitive advantages. The enrichment of genomes in glycoside hydrolase (GH) families <italic>GH13</italic> and <italic>GH16</italic>, essential for carbohydrate metabolism, suggests that BSH-positive microbes possess an expanded capacity for energy acquisition and niche adaptation. Notably, <italic>GH63</italic> enzymes, capable of hydrolyzing &#x3b1;-glucosidic linkages in host-derived glycans and dietary polysaccharides (<xref ref-type="bibr" rid="B24">Kelly et&#xa0;al., 2016</xref>), were exclusive to BSH-positive taxa. Of particular interest, GH63&#x2019;s ability to cleave &#x3b1;-linked L-arabinofuranosyl residues in plant hemicellulosic polysaccharides (<xref ref-type="bibr" rid="B60">Saito et&#xa0;al., 2020</xref>) may enhance microbial fitness in bile-rich environments, although its direct role in BA metabolism remains unclear. These findings highlight the metabolic versatility of BSH-positive microbes and illustrate a sophisticated interplay between carbohydrate and bile acid metabolism that supports microbial adaptation and functional dominance within the gut microbiome.</p>
<p>Parasite, such as helminths and protozoa, can also influence gut microbiome communities (<xref ref-type="bibr" rid="B3">Barash et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B42">McKenney et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B1">Aivelo and Norberg, 2018</xref>). In this study, <italic>E. bieneusi</italic> infection was associated with increased microbial diversity and elevated <italic>Bacillota_C</italic> abundance, suggesting infection-driven shifts in BA-relevant microbial taxa. Members of <italic>Bacillota</italic> are known to release immunomodulatory molecules such as peptidoglycan (<xref ref-type="bibr" rid="B23">Jordan et&#xa0;al., 2023</xref>), which may influence host immune responses. Additionally, infected individuals exhibited increased levels of <italic>BSH</italic>, <italic>7&#x3b1;-HSDH</italic>, and <italic>baiB</italic>, indicating a possible upregulation of BA transformation pathways during infection. These enzymatic changes could impact lipid metabolism and immune homeostasis (<xref ref-type="bibr" rid="B18">Guan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B71">Wang et&#xa0;al., 2024a</xref>). Previous research has shown that elevated cholic acid can promote the growth of <italic>Bacillota</italic> species capable of 7&#x3b1;-dehydroxylation (<xref ref-type="bibr" rid="B52">Ridlon et&#xa0;al., 2013</xref>). Thus, parasitic infections may enhance microbial BA metabolism, with potential consequences for host immunity and susceptibility to secondary infections (<xref ref-type="bibr" rid="B49">Pickard et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B13">Collins et&#xa0;al., 2023</xref>). Taken together, our results indicate that <italic>E. bieneusi</italic> infection promotes a more metabolically active and immunomodulatory gut microbiota, possibly reshaping the intestinal environment to influence host physiological status.</p>
<p>Metabolic profiling of BAs using advanced detection technologies offers accurate and comprehensive monitoring of their composition and concentrations, which is essential for disease prevention, diagnosis, and treatment (<xref ref-type="bibr" rid="B35">Liu et&#xa0;al., 2018</xref>). It is important to note that our findings are based on genomic potential rather than direct biochemical measurements of bile acid species. While this approach enables comprehensive and high-resolution identification of microbial metabolic capabilities (<xref ref-type="bibr" rid="B12">Coelho et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B48">Paoli et&#xa0;al., 2022</xref>), it does not capture actual changes in bile acid concentrations or profiles. Future studies integrating metagenomics with metabolomics and host physiological data will be critical to fully elucidate the interplay between microsporidian infection, bile acid metabolism, and host health.</p>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>This study offers a comprehensive and functional perspective on the gut microbiota of wild rodents, shedding light on the specialized role of microbial communities in BA metabolism. The dominance of <italic>Muribaculaceae</italic>, particularly <italic>CAG-485</italic>, in BA transformation highlights an underappreciated microbial function with potential implications for host metabolism. Distinct host-specific patterns in BA metabolism were observed, with wild rodents exhibiting microbial adaptations that differ markedly from those of laboratory mice and other domesticated animals&#x2014;suggesting that standard model organisms may not fully capture the complexity of natural gut microbiomes. Furthermore, infection with <italic>E. bieneusi</italic> significantly altered the composition of BA-associated microbes, pointing to the dynamic responsiveness of gut microbiota to pathogen colonization. BSH-positive microbes demonstrated clear functional adaptations, including enriched glycoside hydrolase activity, supporting enhanced metabolic efficiency and survival in the bile-rich intestinal environment. These findings underscore the intricate relationship between gut microbes and host physiology, emphasizing the ecological and metabolic flexibility of the wild rodent microbiome. Future studies should aim to experimentally validate these microbial pathways and explore their influence on host health, immunity, and resistance to disease.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by Institutional Animal Care and Use Committee of Qingdao Agricultural University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>K-MS: Formal Analysis, Visualization, Writing &#x2013; original draft. HM: Methodology, Project administration, Supervision, Writing &#x2013; review &amp; editing. Y-JW: Formal Analysis, Visualization, Writing &#x2013; review &amp; editing. J-XZ: Data curation, Software, Writing &#x2013; review &amp; editing. YQ: Resources, Writing &#x2013; review &amp; editing. J-ML: Resources, Writing &#x2013; review &amp; editing. Z-YZ: Resources, Writing &#x2013; review &amp; editing. H-LY: Software, Writing &#x2013; review &amp; editing. QZ: Supervision, Writing &#x2013; review &amp; editing. B-NC: Conceptualization, Supervision,&#xa0;Writing &#x2013; review &amp; editing. HE: Conceptualization, Validation, Writing &#x2013; original draft. X-XZ: Conceptualization, Resources, Supervision, Writing &#x2013; review &amp; editing. XY:&#xa0;Conceptualization, Project administration, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This study was supported by the Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities&#x2019; Association (Grant No.202401BA070001-005) and Yunnan Fundamental Research Projects (grant NO. 202401AT070084).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2025.1647377/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2025.1647377/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Bile acid transformation pathways in 5,208 genomes of intestinal microorganisms from wild rodents. <bold>(A)</bold> Deconjugation of glycocholic acid (GCA) and taurocholic acid (TCA), followed by conversion to 7-ketocholic acid via 7&#x3b1;-hydroxysteroid dehydrogenase (7&#x3b1;-HSDH) or to cholyl-CoA via <italic>baiB</italic>. <bold>(B)</bold> Deconjugation of glycochenodeoxycholic acid (GCDCA) and taurochenodeoxycholic acid (TCDCA), leading to the formation of 7-dehydro-chenodeoxycholic acid. <bold>(C)</bold> Conversion of chenodeoxycholic acid (CDCA) to CDCA-CoA via the <italic>bai</italic> pathway. <bold>(D)</bold> Conversion of ursodeoxycholic acid (UDCA) to UDCA-CoA via the <italic>bai</italic> pathway.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Genus-level classification of BSH-carrying MAGs from the intestinal microbiomes of wild rodents (wild), humans, pigs, laboratory mice (Lab), and chickens.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table3.xlsx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table4.xlsx" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Aivelo</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Norberg</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Parasite-microbiota interactions potentially affect intestinal communities in wild mammals</article-title>. <source>J. Anim. Ecol.</source> <volume>87</volume>, <fpage>438</fpage>&#x2013;<lpage>447</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1365-2656.12708</pub-id>, PMID: <pub-id pub-id-type="pmid">28555881</pub-id></citation></ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Asnicar</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Thomas</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Beghini</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Mengoni</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Manara</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Manghi</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0</article-title>. <source>Nat. Commun.</source> <volume>11</volume>, <fpage>2500</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-020-16366-7</pub-id>, PMID: <pub-id pub-id-type="pmid">32427907</pub-id></citation></ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Barash</surname> <given-names>N. R.</given-names>
</name>
<name>
<surname>Maloney</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Singer</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Dawson.</surname> <given-names>S. C.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>
<italic>Giardia</italic> alters commensal microbial diversity throughout the murine gut</article-title>. <source>Infect. Immun.</source> <volume>85</volume>, <elocation-id>e00948-16</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/IAI.00948-16</pub-id>, PMID: <pub-id pub-id-type="pmid">28396324</pub-id></citation></ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Beura</surname> <given-names>L. K.</given-names>
</name>
<name>
<surname>Hamilton</surname> <given-names>S. E.</given-names>
</name>
<name>
<surname>Bi</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Schenkel</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Odumade</surname> <given-names>O. A.</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>K. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Normalizing the environment recapitulates adult human immune traits in laboratory mice</article-title>. <source>Nature</source> <volume>532</volume>, <fpage>512</fpage>&#x2013;<lpage>516</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature17655</pub-id>, PMID: <pub-id pub-id-type="pmid">27096360</pub-id></citation></ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buchfink</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Huson.</surname> <given-names>D. H.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Fast and sensitive protein alignment using DIAMOND</article-title>. <source>Nat. Methods</source> <volume>12</volume>, <fpage>59</fpage>&#x2013;<lpage>60</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nmeth.3176</pub-id>, PMID: <pub-id pub-id-type="pmid">25402007</pub-id></citation></ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cai</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Gonzalez.</surname> <given-names>F. J.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Gut microbiota-derived bile acids in intestinal immunity, inflammation, and tumorigenesis</article-title>. <source>Cell Host Microbe</source> <volume>30</volume>, <fpage>289</fpage>&#x2013;<lpage>300</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chom.2022.02.004</pub-id>, PMID: <pub-id pub-id-type="pmid">35271802</pub-id></citation></ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chaston</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Newell</surname> <given-names>P. D.</given-names>
</name>
<name>
<surname>Douglas.</surname> <given-names>A. E.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Metagenome-wide association of microbial determinants of host phenotype in <italic>Drosophila melanogaster</italic>
</article-title>. <source>MBio</source> <volume>5</volume>, <fpage>e01631</fpage>&#x2013;<lpage>e01614</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/mBio.01631-14</pub-id>, PMID: <pub-id pub-id-type="pmid">25271286</pub-id></citation></ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chaumeil</surname> <given-names>P. A.</given-names>
</name>
<name>
<surname>Mussig</surname> <given-names>A. J.</given-names>
</name>
<name>
<surname>Hugenholtz</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Parks.</surname> <given-names>D. H.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>GTDB-Tk v2: memory friendly classification with the genome taxonomy database</article-title>. <source>Bioinformatics</source> <volume>38</volume>, <fpage>5315</fpage>&#x2013;<lpage>5316</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/bioinformatics/btac672</pub-id>, PMID: <pub-id pub-id-type="pmid">36218463</pub-id></citation></ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chklovski</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Parks</surname> <given-names>D. H.</given-names>
</name>
<name>
<surname>Woodcroft</surname> <given-names>B. J.</given-names>
</name>
<name>
<surname>Tyson.</surname> <given-names>G. W.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning</article-title>. <source>Nat. Methods</source> <volume>20</volume>, <fpage>1203</fpage>&#x2013;<lpage>1212</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41592-023-01940-w</pub-id>, PMID: <pub-id pub-id-type="pmid">37500759</pub-id></citation></ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Claesson</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>O&#x2019;Sullivan</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Greene-Diniz</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Cole</surname> <given-names>J. R.</given-names>
</name>
<name>
<surname>Ross</surname> <given-names>R. P.</given-names>
</name>
<etal/>
</person-group>. (<year>2010</year>). <article-title>Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions</article-title>. <source>Nucleic Acids Res.</source> <volume>38</volume>, <elocation-id>e200</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gkq873</pub-id>, PMID: <pub-id pub-id-type="pmid">20880993</pub-id></citation></ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Clayton</surname> <given-names>J. B.</given-names>
</name>
<name>
<surname>Vangay</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Ward</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Hillmann</surname> <given-names>B. M.</given-names>
</name>
<name>
<surname>Al-Ghalith</surname> <given-names>G. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Captivity humanizes the primate microbiome</article-title>. <source>Proc. Natl. Acad. Sci. U S A.</source> <volume>113</volume>, <fpage>10376</fpage>&#x2013;<lpage>10381</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.1521835113</pub-id>, PMID: <pub-id pub-id-type="pmid">27573830</pub-id></citation></ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coelho</surname> <given-names>L. P.</given-names>
</name>
<name>
<surname>Alves</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Del R&#xed;o &#xc1;</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Myers</surname> <given-names>P. N.</given-names>
</name>
<name>
<surname>Cantalapiedra</surname> <given-names>C. P.</given-names>
</name>
<name>
<surname>Giner-Lamia</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Towards the biogeography of prokaryotic genes</article-title>. <source>Nature</source> <volume>601</volume>, <fpage>252</fpage>&#x2013;<lpage>256</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-021-04233-4</pub-id>, PMID: <pub-id pub-id-type="pmid">34912116</pub-id></citation></ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Collins</surname> <given-names>S. L.</given-names>
</name>
<name>
<surname>Stine</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Bisanz</surname> <given-names>J. E.</given-names>
</name>
<name>
<surname>Okafor</surname> <given-names>C. D.</given-names>
</name>
<name>
<surname>Patterson.</surname> <given-names>A. D.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Bile acids and the gut microbiota: metabolic interactions and impacts on disease</article-title>. <source>Nat. Rev. Microbiol.</source> <volume>21</volume>, <fpage>236</fpage>&#x2013;<lpage>247</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41579-022-00805-x</pub-id>, PMID: <pub-id pub-id-type="pmid">36253479</pub-id></citation></ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Couch</surname> <given-names>C. E.</given-names>
</name>
<name>
<surname>Stagaman</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Spaan</surname> <given-names>R. S.</given-names>
</name>
<name>
<surname>Combrink</surname> <given-names>H. J.</given-names>
</name>
<name>
<surname>Sharpton</surname> <given-names>T. J.</given-names>
</name>
<name>
<surname>Beechler</surname> <given-names>B. R.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Diet and gut microbiome enterotype are associated at the population level in African buffalo</article-title>. <source>Nat. Commun.</source> <volume>12</volume>, <fpage>2267</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-021-22510-8</pub-id>, PMID: <pub-id pub-id-type="pmid">33859184</pub-id></citation></ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferrandi</surname> <given-names>E. E.</given-names>
</name>
<name>
<surname>Bertolesi</surname> <given-names>G. M.</given-names>
</name>
<name>
<surname>Polentini</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Negri</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Riva</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Monti.</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>In search of sustainable chemical processes: cloning, recombinant expression, and functional characterization of the 7&#x3b1;- and 7&#x3b2;-hydroxysteroid dehydrogenases from <italic>Clostridium absonum</italic>
</article-title>. <source>Appl. Microbiol. Biotechnol.</source> <volume>95</volume>, <fpage>1221</fpage>&#x2013;<lpage>1233</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00253-011-3798-x</pub-id>, PMID: <pub-id pub-id-type="pmid">22198717</pub-id></citation></ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Funabashi</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Grove</surname> <given-names>T. L.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Varma</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>McFadden</surname> <given-names>M. E.</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>L. C.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>A metabolic pathway for bile acid dehydroxylation by the gut microbiome</article-title>. <source>Nature</source> <volume>582</volume>, <fpage>566</fpage>&#x2013;<lpage>570</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-020-2396-4</pub-id>, PMID: <pub-id pub-id-type="pmid">32555455</pub-id></citation></ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gaio</surname> <given-names>D.</given-names>
</name>
<name>
<surname>DeMaere</surname> <given-names>M. Z.</given-names>
</name>
<name>
<surname>Anantanawat</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Chapman</surname> <given-names>T. A.</given-names>
</name>
<name>
<surname>Djordjevic</surname> <given-names>S. P.</given-names>
</name>
<name>
<surname>Darling.</surname> <given-names>A. E.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Post-weaning shifts in microbiome composition and metabolism revealed by over 25&#x200a;000 pig gut metagenome-assembled genomes</article-title>. <source>Microb. Genom.</source> <volume>7</volume>, <fpage>000501</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1099/mgen.0.000501</pub-id>, PMID: <pub-id pub-id-type="pmid">34370660</pub-id></citation></ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guan</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Tong</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Hao</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>H.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Bile acid coordinates microbiota homeostasis and systemic immunometabolism in cardiometabolic diseases</article-title>. <source>Acta Pharm. Sin. B.</source> <volume>12</volume>, <fpage>2129</fpage>&#x2013;<lpage>2149</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.apsb.2021.12.011</pub-id>, PMID: <pub-id pub-id-type="pmid">35646540</pub-id></citation></ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guzior</surname> <given-names>D. V.</given-names>
</name>
<name>
<surname>Quinn</surname> <given-names>R. A.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Review: microbial transformations of human bile acids</article-title>. <source>Microbiome</source> <volume>9</volume>, <fpage>140</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40168-021-01101-1</pub-id>, PMID: <pub-id pub-id-type="pmid">34127070</pub-id></citation></ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanski</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Raulo</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Knowles.</surname> <given-names>S. C. L.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Early-life gut microbiota assembly patterns are conserved between laboratory and wild mice</article-title>. <source>Commun. Biol.</source> <volume>7</volume>, <fpage>1456</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s42003-024-07039-y</pub-id>, PMID: <pub-id pub-id-type="pmid">39511304</pub-id></citation></ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hyatt</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>G. L.</given-names>
</name>
<name>
<surname>Locascio</surname> <given-names>P. F.</given-names>
</name>
<name>
<surname>Land</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Larimer</surname> <given-names>F. W.</given-names>
</name>
<name>
<surname>Hauser.</surname> <given-names>L. J.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Prodigal: prokaryotic gene recognition and translation initiation site identification</article-title>. <source>BMC Bioinf.</source> <volume>11</volume>, <fpage>119</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1471-2105-11-119</pub-id>, PMID: <pub-id pub-id-type="pmid">20211023</pub-id></citation></ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jones</surname> <given-names>B. V.</given-names>
</name>
<name>
<surname>Begley</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Hill</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Gahan</surname> <given-names>C. G.</given-names>
</name>
<name>
<surname>Marchesi.</surname> <given-names>J. R.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Functional and comparative metagenomic analysis of bile salt hydrolase activity in the human gut microbiome</article-title>. <source>Proc. Natl. Acad. Sci. U S A.</source> <volume>105</volume>, <fpage>13580</fpage>&#x2013;<lpage>13585</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.0804437105</pub-id>, PMID: <pub-id pub-id-type="pmid">18757757</pub-id></citation></ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jordan</surname> <given-names>C. K. I.</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>R. L.</given-names>
</name>
<name>
<surname>Larkinson</surname> <given-names>M. L. Y.</given-names>
</name>
<name>
<surname>Sequeira</surname> <given-names>R. P.</given-names>
</name>
<name>
<surname>Edwards</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Clarke.</surname> <given-names>T. B.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Symbiotic Firmicutes establish mutualism with the host via innate tolerance and resistance to control systemic immunity</article-title>. <source>Cell Host Microbe</source> <volume>31</volume>, <fpage>1433</fpage>&#x2013;<lpage>1449.e1439</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chom.2023.07.008</pub-id>, PMID: <pub-id pub-id-type="pmid">37582375</pub-id></citation></ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kelly</surname> <given-names>E. D.</given-names>
</name>
<name>
<surname>Bottacini</surname> <given-names>F.</given-names>
</name>
<name>
<surname>O&#x2019;Callaghan</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Motherway</surname> <given-names>M. O.&#x2019;</given-names>
</name>
<name>
<surname>O&#x2019;Connell</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Stanton</surname> <given-names>C.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Glycoside hydrolase family 13 &#x3b1;-glucosidases encoded by <italic>Bifidobacterium breve</italic> UCC2003; a comparative analysis of function, structure and phylogeny</article-title>. <source>Int. J. Food Microbiol.</source> <volume>224</volume>, <fpage>55</fpage>&#x2013;<lpage>65</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijfoodmicro.2016.02.014</pub-id>, PMID: <pub-id pub-id-type="pmid">26967000</pub-id></citation></ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kennedy</surname> <given-names>N. A.</given-names>
</name>
<name>
<surname>Walker</surname> <given-names>A. W.</given-names>
</name>
<name>
<surname>Berry</surname> <given-names>S. H.</given-names>
</name>
<name>
<surname>Duncan</surname> <given-names>S. H.</given-names>
</name>
<name>
<surname>Farquarson</surname> <given-names>F. M.</given-names>
</name>
<name>
<surname>Louis</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>The impact of different DNA extraction kits and laboratories upon the assessment of human gut microbiota composition by 16S rRNA gene sequencing</article-title>. <source>PloS One</source> <volume>9</volume>, <elocation-id>e88982</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0088982</pub-id>, PMID: <pub-id pub-id-type="pmid">24586470</pub-id></citation></ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kieser</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Zdobnov</surname> <given-names>E. M.</given-names>
</name>
<name>
<surname>Trajkovski.</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Comprehensive mouse microbiota genome catalog reveals major difference to its human counterpart</article-title>. <source>PloS Comput. Biol.</source> <volume>18</volume>, <elocation-id>e1009947</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pcbi.1009947</pub-id>, PMID: <pub-id pub-id-type="pmid">35259160</pub-id></citation></ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kisiela</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Skarka</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Ebert</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Maser.</surname> <given-names>E.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Hydroxysteroid dehydrogenases (HSDs) in bacteria: a bioinformatic perspective</article-title>. <source>J. Steroid Biochem. Mol. Biol.</source> <volume>129</volume>, <fpage>31</fpage>&#x2013;<lpage>46</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jsbmb.2011.08.002</pub-id>, PMID: <pub-id pub-id-type="pmid">21884790</pub-id></citation></ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Krishnan</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Alden</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Lee.</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Pathways and functions of gut microbiota metabolism impacting host physiology</article-title>. <source>Curr. Opin. Biotechnol.</source> <volume>36</volume>, <fpage>137</fpage>&#x2013;<lpage>145</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.copbio.2015.08.015</pub-id>, PMID: <pub-id pub-id-type="pmid">26340103</pub-id></citation></ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Langmead</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Salzberg</surname> <given-names>S. L.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Fast gapped-read alignment with Bowtie 2</article-title>. <source>Nat. Methods</source> <volume>9</volume>, <fpage>357</fpage>&#x2013;<lpage>359</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nmeth.1923</pub-id>, PMID: <pub-id pub-id-type="pmid">22388286</pub-id></citation></ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>J. Y.</given-names>
</name>
<name>
<surname>Arai</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Nakamura</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Fukiya</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Wada</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yokota.</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Contribution of the 7&#x3b2;-hydroxysteroid dehydrogenase from <italic>Ruminococcus gnavus</italic> N53 to ursodeoxycholic acid formation in the human colon</article-title>. <source>J. Lipid Res.</source> <volume>54</volume>, <fpage>3062</fpage>&#x2013;<lpage>3069</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1194/jlr.M039834</pub-id>, PMID: <pub-id pub-id-type="pmid">23729502</pub-id></citation></ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Letunic</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Bork</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation</article-title>. <source>Nucleic Acids Res.</source> <volume>49</volume>, <fpage>W293</fpage>&#x2013;<lpage>W296</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gkab301</pub-id>, PMID: <pub-id pub-id-type="pmid">33885785</pub-id></citation></ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Lai</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>F.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Genome-centric investigation of bile acid metabolizing microbiota of dairy cows and associated diet-induced functional implications</article-title>. <source>Isme J.</source> <volume>17</volume>, <fpage>172</fpage>&#x2013;<lpage>184</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41396-022-01333-5</pub-id>, PMID: <pub-id pub-id-type="pmid">36261508</pub-id></citation></ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Bile acids and their receptors in regulation of gut health and diseases</article-title>. <source>Prog. Lipid Res.</source> <volume>89</volume>, <fpage>101210</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.plipres.2022.101210</pub-id>, PMID: <pub-id pub-id-type="pmid">36577494</pub-id></citation></ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Aigner</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Schmid.</surname> <given-names>R. D.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Identification, cloning, heterologous expression, and characterization of a NADPH-dependent 7&#x3b2;-hydroxysteroid dehydrogenase from <italic>Collinsella aerofaciens</italic>
</article-title>. <source>Appl. Microbiol. Biotechnol.</source> <volume>90</volume>, <fpage>127</fpage>&#x2013;<lpage>135</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00253-010-3052-y</pub-id>, PMID: <pub-id pub-id-type="pmid">21181147</pub-id></citation></ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Rong</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Liu.</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Detection technologies and metabolic profiling of bile acids: a comprehensive review</article-title>. <source>Lipids Health Dis.</source> <volume>17</volume>, <fpage>121</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12944-018-0774-9</pub-id>, PMID: <pub-id pub-id-type="pmid">29792192</pub-id></citation></ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lloyd-Price</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Arze</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Ananthakrishnan</surname> <given-names>A. N.</given-names>
</name>
<name>
<surname>Schirmer</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Avila-Pacheco</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Poon</surname> <given-names>T. W.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases</article-title>. <source>Nature</source> <volume>569</volume>, <fpage>655</fpage>&#x2013;<lpage>662</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-019-1237-9</pub-id>, PMID: <pub-id pub-id-type="pmid">31142855</pub-id></citation></ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lombard</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Golaconda Ramulu</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Drula</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Coutinho</surname> <given-names>P. M.</given-names>
</name>
<name>
<surname>Henrissat.</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>The carbohydrate-active enzymes database (CAZy) in 2013</article-title>. <source>Nucleic Acids Res.</source> <volume>42</volume>, <fpage>D490</fpage>&#x2013;<lpage>D495</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gkt1178</pub-id>, PMID: <pub-id pub-id-type="pmid">24270786</pub-id></citation></ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#xf3;pez-Carvallo</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Cruz-Flores</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Dhar</surname> <given-names>A. K.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>The emerging pathogen <italic>Enterocytozoon hepatopenaei</italic> drives a degenerative cyclic pattern in the hepatopancreas microbiome of the shrimp (<italic>Penaeus vannamei</italic>)</article-title>. <source>Sci. Rep.</source> <volume>12</volume>, <fpage>14766</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-022-19127-2</pub-id>, PMID: <pub-id pub-id-type="pmid">36042348</pub-id></citation></ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Lyu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Gut microbiota remodeling reverses aging-associated inflammation and dysregulation of systemic bile acid homeostasis in mice sex-specifically</article-title>. <source>Gut Microbes</source> <volume>11</volume>, <fpage>1450</fpage>&#x2013;<lpage>1474</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19490976.2020.1763770</pub-id>, PMID: <pub-id pub-id-type="pmid">32515683</pub-id></citation></ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mair</surname> <given-names>I.</given-names>
</name>
<name>
<surname>McNeilly</surname> <given-names>T. N.</given-names>
</name>
<name>
<surname>Corripio-Miyar</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Forman</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Else.</surname> <given-names>K. J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Embracing nature&#x2019;s complexity: immunoparasitology in the wild</article-title>. <source>Semin. Immunol.</source> <volume>53</volume>, <fpage>101525</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.smim.2021.101525</pub-id>, PMID: <pub-id pub-id-type="pmid">34785137</pub-id></citation></ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maurice</surname> <given-names>C. F.</given-names>
</name>
<name>
<surname>Knowles</surname> <given-names>S. C.</given-names>
</name>
<name>
<surname>Ladau</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Pollard</surname> <given-names>K. S.</given-names>
</name>
<name>
<surname>Fenton</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Pedersen</surname> <given-names>A. B.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Marked seasonal variation in the wild mouse gut microbiota</article-title>. <source>Isme J.</source> <volume>9</volume>, <fpage>2423</fpage>&#x2013;<lpage>2434</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ismej.2015.53</pub-id>, PMID: <pub-id pub-id-type="pmid">26023870</pub-id></citation></ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McKenney</surname> <given-names>E. A.</given-names>
</name>
<name>
<surname>Williamson</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Yoder</surname> <given-names>A. D.</given-names>
</name>
<name>
<surname>Rawls</surname> <given-names>J. F.</given-names>
</name>
<name>
<surname>Bilbo</surname> <given-names>S. D.</given-names>
</name>
<name>
<surname>Parker.</surname> <given-names>W.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Alteration of the rat cecal microbiome during colonization with the helminth <italic>Hymenolepis diminuta</italic>
</article-title>. <source>Gut Microbes</source> <volume>6</volume>, <fpage>182</fpage>&#x2013;<lpage>193</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19490976.2015.1047128</pub-id>, PMID: <pub-id pub-id-type="pmid">25942385</pub-id></citation></ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mihalik</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Steinberg</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Pei</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Park</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>D. G.</given-names>
</name>
<name>
<surname>Heinzer</surname> <given-names>A. K.</given-names>
</name>
<etal/>
</person-group>. (<year>2002</year>). <article-title>Participation of two members of the very long-chain acyl-CoA synthetase family in bile acid synthesis and recycling</article-title>. <source>J. Biol. Chem.</source> <volume>277</volume>, <fpage>24771</fpage>&#x2013;<lpage>24779</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1074/jbc.M203295200</pub-id>, PMID: <pub-id pub-id-type="pmid">11980911</pub-id></citation></ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mohanty</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Allaband</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Mannochio-Russo</surname> <given-names>H.</given-names>
</name>
<name>
<surname>El Abiead</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Hagey</surname> <given-names>L. R.</given-names>
</name>
<name>
<surname>Knight</surname> <given-names>R.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>The changing metabolic landscape of bile acids - keys to metabolism and immune regulation</article-title>. <source>Nat. Rev. Gastroenterol. Hepatol.</source> <volume>21</volume>, <fpage>493</fpage>&#x2013;<lpage>516</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41575-024-00914-3</pub-id>, PMID: <pub-id pub-id-type="pmid">38575682</pub-id></citation></ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nayfach</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>Z. J.</given-names>
</name>
<name>
<surname>Seshadri</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Pollard</surname> <given-names>K. S.</given-names>
</name>
<name>
<surname>Kyrpides.</surname> <given-names>N. C.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>New insights from uncultivated genomes of the global human gut microbiome</article-title>. <source>Nature</source> <volume>568</volume>, <fpage>505</fpage>&#x2013;<lpage>510</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-019-1058-x</pub-id>, PMID: <pub-id pub-id-type="pmid">30867587</pub-id></citation></ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ogasawara</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Yamada</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Nakayama</surname> <given-names>S. M.</given-names>
</name>
<name>
<surname>Watanabe</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Saito</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Chiba</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Surveys of eleven species of wild and zoo birds and feeding experiments in white-tailed eagles reveal differences in the composition of the avian gut microbiome based on dietary habits between and within species</article-title>. <source>J. Vet. Med. Sci.</source> <volume>85</volume>, <fpage>1355</fpage>&#x2013;<lpage>1365</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1292/jvms.23-0138</pub-id>, PMID: <pub-id pub-id-type="pmid">37914278</pub-id></citation></ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Olm</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>C. T.</given-names>
</name>
<name>
<surname>Brooks</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Banfield.</surname> <given-names>J. F.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>DRep: a tool for fast and accurate genomic comparisons that enables improved genome recovery from metagenomes through de-replication</article-title>. <source>Isme J.</source> <volume>11</volume>, <fpage>2864</fpage>&#x2013;<lpage>2868</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ismej.2017.126</pub-id>, PMID: <pub-id pub-id-type="pmid">28742071</pub-id></citation></ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Paoli</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Ruscheweyh</surname> <given-names>H. J.</given-names>
</name>
<name>
<surname>Forneris</surname> <given-names>C. C.</given-names>
</name>
<name>
<surname>Hubrich</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Kautsar</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Bhushan</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2022</year>). <article-title>Biosynthetic potential of the global ocean microbiome</article-title>. <source>Nature</source> <volume>607</volume>, <fpage>111</fpage>&#x2013;<lpage>118</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-022-04862-3</pub-id>, PMID: <pub-id pub-id-type="pmid">35732736</pub-id></citation></ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pickard</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>M. Y.</given-names>
</name>
<name>
<surname>Caruso</surname> <given-names>R.</given-names>
</name>
<name>
<surname>N&#xfa;&#xf1;ez.</surname> <given-names>G.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Gut microbiota: role in pathogen colonization, immune responses, and inflammatory disease</article-title>. <source>Immunol. Rev.</source> <volume>279</volume>, <fpage>70</fpage>&#x2013;<lpage>89</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/imr.12567</pub-id>, PMID: <pub-id pub-id-type="pmid">28856738</pub-id></citation></ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ram&#xed;rez-P&#xe9;rez</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Cruz-Ram&#xf3;n</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Chinchilla-L&#xf3;pez</surname> <given-names>P.</given-names>
</name>
<name>
<surname>M&#xe9;ndez-S&#xe1;nchez.</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>The role of the gut microbiota in bile acid metabolism</article-title>. <source>Ann. Hepatol.</source> <volume>16</volume>, <fpage>s15</fpage>&#x2013;<lpage>s20</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5604/01.3001.0010.5672</pub-id>, PMID: <pub-id pub-id-type="pmid">29118282</pub-id></citation></ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reese</surname> <given-names>A. T.</given-names>
</name>
<name>
<surname>Dunn</surname> <given-names>R. R.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Drivers of microbiome biodiversity: a review of general rules, feces, and ignorance</article-title>. <source>MBio</source> <volume>9</volume>, <elocation-id>e01294-18</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/mBio.01294-18</pub-id>, PMID: <pub-id pub-id-type="pmid">30065092</pub-id></citation></ref>
<ref id="B52">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ridlon</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Alves</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Hylemon</surname> <given-names>P. B.</given-names>
</name>
<name>
<surname>Bajaj</surname> <given-names>J. S.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Cirrhosis, bile acids and gut microbiota: unraveling a complex relationship</article-title>. <source>Gut Microbes</source> <volume>4</volume>, <fpage>382</fpage>&#x2013;<lpage>387</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.4161/gmic.25723</pub-id>, PMID: <pub-id pub-id-type="pmid">23851335</pub-id></citation></ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ridlon</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Gaskins</surname> <given-names>H. R.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Another renaissance for bile acid gastrointestinal microbiology</article-title>. <source>Nat. Rev. Gastroenterol. Hepatol.</source> <volume>21</volume>, <fpage>348</fpage>&#x2013;<lpage>364</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41575-024-00896-2</pub-id>, PMID: <pub-id pub-id-type="pmid">38383804</pub-id></citation></ref>
<ref id="B54">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ridlon</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Harris</surname> <given-names>S. C.</given-names>
</name>
<name>
<surname>Bhowmik</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>D. J.</given-names>
</name>
<name>
<surname>Hylemon.</surname> <given-names>P. B.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Consequences of bile salt biotransformations by intestinal bacteria</article-title>. <source>Gut Microbes</source> <volume>7</volume>, <fpage>22</fpage>&#x2013;<lpage>39</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19490976.2015.1127483</pub-id>, PMID: <pub-id pub-id-type="pmid">26939849</pub-id></citation></ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ridlon</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>D. J.</given-names>
</name>
<name>
<surname>Hylemon.</surname> <given-names>P. B.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Bile salt biotransformations by human intestinal bacteria</article-title>. <source>J. Lipid Res.</source> <volume>47</volume>, <fpage>241</fpage>&#x2013;<lpage>259</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1194/jlr.R500013-JLR200</pub-id>, PMID: <pub-id pub-id-type="pmid">16299351</pub-id></citation></ref>
<ref id="B56">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rinninella</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Cintoni</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Raoul</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Lopetuso</surname> <given-names>L. R.</given-names>
</name>
<name>
<surname>Scaldaferri</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Pulcini</surname> <given-names>G.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Food components and dietary habits: keys for a healthy gut microbiota composition</article-title>. <source>Nutrients</source> <volume>11</volume>, <fpage>2393</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu11102393</pub-id>, PMID: <pub-id pub-id-type="pmid">31591348</pub-id></citation></ref>
<ref id="B57">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rosshart</surname> <given-names>S. P.</given-names>
</name>
<name>
<surname>Herz</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Vassallo</surname> <given-names>B. G.</given-names>
</name>
<name>
<surname>Hunter</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Wall</surname> <given-names>M. K.</given-names>
</name>
<name>
<surname>Badger</surname> <given-names>J. H.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Laboratory mice born to wild mice have natural microbiota and model human immune responses</article-title>. <source>Science</source> <volume>365</volume>, <elocation-id>eaaw4361</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aaw4361</pub-id>, PMID: <pub-id pub-id-type="pmid">31371577</pub-id></citation></ref>
<ref id="B58">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rosshart</surname> <given-names>S. P.</given-names>
</name>
<name>
<surname>Vassallo</surname> <given-names>B. G.</given-names>
</name>
<name>
<surname>Angeletti</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Hutchinson</surname> <given-names>D. S.</given-names>
</name>
<name>
<surname>Morgan</surname> <given-names>A. P.</given-names>
</name>
<name>
<surname>Takeda</surname> <given-names>K.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Wild mouse gut microbiota promotes host fitness and improves disease resistance</article-title>. <source>Cell</source> <volume>171</volume>, <fpage>1015</fpage>&#x2013;<lpage>1028.e1013</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cell.2017.09.016</pub-id>, PMID: <pub-id pub-id-type="pmid">29056339</pub-id></citation></ref>
<ref id="B59">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rothschild</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Weissbrod</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Barkan</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Kurilshikov</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Korem</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Zeevi</surname> <given-names>D.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Environment dominates over host genetics in shaping human gut microbiota</article-title>. <source>Nature</source> <volume>555</volume>, <fpage>210</fpage>&#x2013;<lpage>215</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature25973</pub-id>, PMID: <pub-id pub-id-type="pmid">29489753</pub-id></citation></ref>
<ref id="B60">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saito</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Viborg</surname> <given-names>A. H.</given-names>
</name>
<name>
<surname>Sakamoto</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Arakawa</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Yamada</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Fujita</surname> <given-names>K.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Crystal structure of &#x3b2;-L-arabinobiosidase belonging to glycoside hydrolase family 121</article-title>. <source>PloS One</source> <volume>15</volume>, <elocation-id>e0231513</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0231513</pub-id>, PMID: <pub-id pub-id-type="pmid">32479540</pub-id></citation></ref>
<ref id="B61">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sayin</surname> <given-names>S. I.</given-names>
</name>
<name>
<surname>Wahlstr&#xf6;m</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Felin</surname> <given-names>J.</given-names>
</name>
<name>
<surname>J&#xe4;ntti</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Marschall</surname> <given-names>H. U.</given-names>
</name>
<name>
<surname>Bamberg</surname> <given-names>K.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Gut microbiota regulates bile acid metabolism by reducing the levels of tauro-beta-muricholic acid, a naturally occurring FXR antagonist</article-title>. <source>Cell Metab.</source> <volume>17</volume>, <fpage>225</fpage>&#x2013;<lpage>235</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cmet.2013.01.003</pub-id>, PMID: <pub-id pub-id-type="pmid">23395169</pub-id></citation></ref>
<ref id="B62">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schmidt</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Mykytczuk</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Schulte-Hostedde.</surname> <given-names>A. I.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Effects of the captive and wild environment on diversity of the gut microbiome of deer mice (<italic>Peromyscus maniculatus</italic>)</article-title>. <source>Isme J.</source> <volume>13</volume>, <fpage>1293</fpage>&#x2013;<lpage>1305</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41396-019-0345-8</pub-id>, PMID: <pub-id pub-id-type="pmid">30664674</pub-id></citation></ref>
<ref id="B63">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shang</surname> <given-names>K. M.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Elsheikha</surname> <given-names>H. M.</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>Y. J.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J. X.</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2025</year>). <article-title>Comprehensive genome catalog analysis of the resistome, virulome and mobilome in the wild rodent gut microbiota</article-title>. <source>NPJ Biofilms Microbiomes.</source> <volume>11</volume>, <fpage>101</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41522-025-00746-2</pub-id>, PMID: <pub-id pub-id-type="pmid">40500303</pub-id></citation></ref>
<ref id="B64">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sinha</surname> <given-names>S. R.</given-names>
</name>
<name>
<surname>Haileselassie</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Nguyen</surname> <given-names>L. P.</given-names>
</name>
<name>
<surname>Tropini</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Becker</surname> <given-names>L. S.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Dysbiosis-induced secondary bile acid deficiency promotes intestinal inflammation</article-title>. <source>Cell Host Microbe</source> <volume>27</volume>, <fpage>659</fpage>&#x2013;<lpage>670.e655</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chom.2020.01.021</pub-id>, PMID: <pub-id pub-id-type="pmid">32101703</pub-id></citation></ref>
<ref id="B65">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Lao</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Taxonomic profiling and populational patterns of bacterial bile salt hydrolase (BSH) genes based on worldwide human gut microbiome</article-title>. <source>Microbiome</source> <volume>7</volume>, <fpage>9</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40168-019-0628-3</pub-id>, PMID: <pub-id pub-id-type="pmid">30674356</pub-id></citation></ref>
<ref id="B66">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Staley</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Weingarden</surname> <given-names>A. R.</given-names>
</name>
<name>
<surname>Khoruts</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Sadowsky.</surname> <given-names>M. J.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Interaction of gut microbiota with bile acid metabolism and its influence on disease states</article-title>. <source>Appl. Microbiol. Biotechnol.</source> <volume>101</volume>, <fpage>47</fpage>&#x2013;<lpage>64</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00253-016-8006-6</pub-id>, PMID: <pub-id pub-id-type="pmid">27888332</pub-id></citation></ref>
<ref id="B67">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thakare</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Alamoudi</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Gautam</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Rodrigues</surname> <given-names>A.D.</given-names>
</name>
<name>
<surname>Alnouti</surname> <given-names>Y.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Species differences in bile acids I. Plasma and urine bile acid composition</article-title>. <source>J. Appl. toxicology.</source> <volume>38</volume>, <fpage>1323</fpage>&#x2013;<lpage>1335</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jat.3644</pub-id>, PMID: <pub-id pub-id-type="pmid">29785833</pub-id></citation></ref>
<ref id="B68">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Trzebny</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Slodkowicz-Kowalska</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Bj&#xf6;rkroth</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Dabert.</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Microsporidian infection in mosquitoes (<italic>Culicidae</italic>) is associated with gut microbiome composition and predicted gut microbiome functional content</article-title>. <source>Microb. Ecol.</source> <volume>85</volume>, <fpage>247</fpage>&#x2013;<lpage>263</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00248-021-01944-z</pub-id>, PMID: <pub-id pub-id-type="pmid">34939130</pub-id></citation></ref>
<ref id="B69">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vich Vila</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Imhann</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Collij</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Jankipersadsing</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>Gurry</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Mujagic</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome</article-title>. <source>Sci. Transl. Med.</source> <volume>10</volume>, <elocation-id>eaap8914</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/scitranslmed.aap8914</pub-id>, PMID: <pub-id pub-id-type="pmid">30567928</pub-id></citation></ref>
<ref id="B70">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Mo</surname> <given-names>X.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>A metagenome-wide association study of gut microbiota in asthma in UK adults</article-title>. <source>BMC Microbiol.</source> <volume>18</volume>, <fpage>114</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12866-018-1257-x</pub-id>, PMID: <pub-id pub-id-type="pmid">30208875</pub-id></citation></ref>
<ref id="B71">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Huws</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Ren</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>a). <article-title>Ileal microbial microbiome and its secondary bile acids modulate susceptibility to nonalcoholic steatohepatitis in dairy goats</article-title>. <source>Microbiome</source> <volume>12</volume>, <fpage>247</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40168-024-01964-0</pub-id>, PMID: <pub-id pub-id-type="pmid">39578870</pub-id></citation></ref>
<ref id="B72">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Zhou.</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2024</year>b). <article-title>Dysregulated bile acid homeostasis: unveiling its role in metabolic diseases</article-title>. <source>Med. Rev. (2021).</source> <volume>4</volume>, <fpage>262</fpage>&#x2013;<lpage>283</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1515/mr-2024-0020</pub-id>, PMID: <pub-id pub-id-type="pmid">39135605</pub-id></citation></ref>
<ref id="B73">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>A dysregulated bile acid-gut microbiota axis contributes to obesity susceptibility</article-title>. <source>EBioMedicine</source> <volume>55</volume>, <fpage>102766</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ebiom.2020.102766</pub-id>, PMID: <pub-id pub-id-type="pmid">32408110</pub-id></citation></ref>
<ref id="B74">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Song</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Bile acid-gut microbiota axis in inflammatory bowel disease: from bench to bedside</article-title>. <source>Nutrients</source> <volume>13</volume>, <fpage>3143</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu13093143</pub-id>, PMID: <pub-id pub-id-type="pmid">34579027</pub-id></citation></ref>
<ref id="B75">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Ren</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Li.</surname> <given-names>Y.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Quantitative profiling of bile acids in feces of humans and rodents by ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry</article-title>. <source>Metabolites</source> <volume>12</volume>, <fpage>633</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/metabo12070633</pub-id>, PMID: <pub-id pub-id-type="pmid">35888757</pub-id></citation></ref>
</ref-list>
</back>
</article>