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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2022.859990</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Genomic Characterization of <italic>Enterococcus hirae</italic> From Beef Cattle Feedlots and Associated Environmental Continuum</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Zaidi</surname><given-names>Sani-e-Zehra</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1682711/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Zaheer</surname><given-names>Rahat</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/88852/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Barbieri</surname><given-names>Ruth</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Cook</surname><given-names>Shaun R.</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/87495/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Hannon</surname><given-names>Sherry J.</given-names></name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/730182/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Booker</surname><given-names>Calvin W.</given-names></name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/730180/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Church</surname><given-names>Deirdre</given-names></name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Van Domselaar</surname><given-names>Gary</given-names></name>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/351959/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Zovoilis</surname><given-names>Athanasios</given-names></name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/290160/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>McAllister</surname><given-names>Tim A.</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/86418/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada</institution>, <addr-line>Lethbridge, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff2"><sup>2</sup><institution>University of Lethbridge</institution>, <addr-line>Lethbridge, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff3"><sup>3</sup><institution>Feedlot Health Management Services</institution>, <addr-line>Okotoks, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff4"><sup>4</sup><institution>Cumming School of Medicine, University of Calgary</institution>, <addr-line>Calgary, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff5"><sup>5</sup><institution>Calgary Laboratory Services</institution>, <addr-line>Calgary, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff6"><sup>6</sup><institution>National Microbiology Laboratory, Public Health Agency of Canada</institution>, <addr-line>Winnipeg, MB</addr-line>, <country>Canada</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Ziad Daoud, Central Michigan University, United States</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: J&#x00F8;rgen J Leisner, University of Copenhagen, Denmark; Valentine Usongo, Health Canada, Canada</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Tim A. McAllister, <email>tim.mcallister@agr.gc.ca</email></corresp>
<fn id="fn0003" fn-type="other">
<p>This article was submitted to Antimicrobials, Resistance and Chemotherapy, a section of the journal Frontiers in Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>859990</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Sherry J. Hannon, Calvin W. Booker, Deirdre Church, Gary Van Domselaar, Athanasios Zovoilis and Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada for the contribution of Tim A. McAllister, Sani-e-Zehra Zaidi , Rahat Zaheer, Ruth Barbieri and Shaun R. Cook.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Sherry J. Hannon, Calvin W. Booker, Deirdre Church, Gary Van Domselaar, Athanasios Zovoilis and Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada for the contribution of Tim A. McAllister, Sani-e-Zehra Zaidi , Rahat Zaheer, Ruth Barbieri and Shaun R. Cook</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Enterococci are commensal bacteria of the gastrointestinal tract of humans, animals, and insects. They are also found in soil, water, and plant ecosystems. The presence of enterococci in human, animal, and environmental settings makes these bacteria ideal candidates to study antimicrobial resistance in the One-Health continuum. This study focused on <italic>Enterococcus hirae</italic> isolates (<italic>n</italic> =&#x2009;4,601) predominantly isolated from beef production systems including bovine feces (<italic>n</italic> =&#x2009;4,117, 89.5%), catch-basin water (<italic>n</italic> =&#x2009;306, 66.5%), stockpiled bovine manure (<italic>n</italic> =&#x2009;24, 0.5%), and natural water sources near feedlots (<italic>n</italic> =&#x2009;145, 32%), and a few isolates from urban wastewater (<italic>n</italic> =&#x2009;9, 0.2%) denoted as human-associated environmental samples. Antimicrobial susceptibility profiling of a subset (<italic>n</italic> =&#x2009;1,319) of <italic>E. hirae</italic> isolates originating from beef production systems (<italic>n</italic> =&#x2009;1,308) showed high resistance to tetracycline (65%) and erythromycin (57%) with 50.4% isolates harboring multi-drug resistance, whereas urban wastewater isolates (<italic>n</italic> =&#x2009;9) were resistant to nitrofurantoin (44.5%) and tigecycline (44.5%) followed by linezolid (33.3%). Genes for tetracycline (<italic>tetL, M, S/M,</italic> and <italic>O/32/O</italic>) and macrolide resistance <italic>erm(B)</italic> were frequently found in beef production isolates. Antimicrobial resistance profiles of <italic>E. hirae</italic> isolates recovered from different environmental settings appeared to reflect the kind of antimicrobial usage in beef and human sectors. Comparative genomic analysis of <italic>E. hirae</italic> isolates showed an open pan-genome that consisted of 1,427 core genes, 358 soft core genes, 1701 shell genes, and 7,969 cloud genes. Across species comparative genomic analysis conducted on <italic>E. hirae</italic>, <italic>Enterococcus faecalis</italic> and <italic>Enterococcus faecium</italic> genomes revealed that <italic>E. hirae</italic> had unique genes associated with vitamin production, cellulose, and pectin degradation, traits which may support its adaptation to the bovine digestive tract. <italic>E. faecium</italic> and <italic>E. faecalis</italic> more frequently harbored virulence genes associated with biofilm formation, iron transport, and cell adhesion, suggesting niche specificity within these species.</p>
</abstract>
<kwd-group>
<kwd>cattle production</kwd>
<kwd>antimicrobial resistance</kwd>
<kwd>enterococci</kwd>
<kwd>genomic signatures</kwd>
<kwd>pan-genome</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="119"/>
<page-count count="14"/>
<word-count count="10815"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Antimicrobial resistance (AMR) is recognized as one of the major global health challenges of the 21st century. The interconnected microbiomes between humans, animals, and the environment contribute to the emergence, acquisition, and spread of AMR (<xref ref-type="bibr" rid="ref57">Hiltunen et al., 2017</xref>). A One-health approach provides an in-depth knowledge of the evolution of AMR by focusing on those biological elements that influence the emergence of antimicrobial resistance genes (ARGs) within the microorganism and their dissemination among hosts (human and animals) and the environment (<xref ref-type="bibr" rid="ref55">Hernando-Amado et al., 2019</xref>). Gram-positive enterococci are core members of the gastrointestinal microbiota of humans and animals and are frequently isolated from soil and water (<xref ref-type="bibr" rid="ref21">Byappanahalli et al., 2012</xref>; <xref ref-type="bibr" rid="ref41">Gilmore et al., 2014</xref>). Enterococci often carry ARGs as they compete within complex microbial communities and are exposed to antimicrobials in clinical settings and during livestock production (<xref ref-type="bibr" rid="ref80">Murray, 1990</xref>; <xref ref-type="bibr" rid="ref77">Moreno et al., 2006</xref>). Furthermore, depending on the species, enterococci exhibit intrinsic resistance to several antibiotics including cephalosporins, anti-staphylococcal penicillins, aztreonam, aminoglycosides, lincosamides, and streptogramins (<xref ref-type="bibr" rid="ref76">Miller et al., 2014</xref>). Enterococci are typically commensals, but they can cause nosocomial infections in humans including septicemia, endocarditis, and urinary tract infections (<xref ref-type="bibr" rid="ref12">Barnes et al., 2021</xref>). There are over 50 species of enterococci with <italic>E. faecalis</italic> and <italic>E. faecium</italic> most frequently linked to human infections. Occasionally, other species including <italic>E. hirae, E. avium, E. durans, E. gallinarum, E. casseliflavus, and E. raffinosus</italic> may also be associated with infections in people (<xref ref-type="bibr" rid="ref19">Brayer et al., 2019</xref>; <xref ref-type="bibr" rid="ref90">Pinkes et al., 2019</xref>; <xref ref-type="bibr" rid="ref111">Winther et al., 2020</xref>). Due to their widespread occurrence and persistence in the environment, enterococci are considered indicators of fecal contamination (<xref ref-type="bibr" rid="ref20">Byappanahalli and Fujioka, 2004</xref>; <xref ref-type="bibr" rid="ref112">Yan et al., 2011</xref>) and also serve as key indicator bacteria for AMR surveillance systems in humans and animals (<xref ref-type="bibr" rid="ref51">Harwood et al., 2000</xref>; <xref ref-type="bibr" rid="ref69">Layton et al., 2010</xref>).</p>
<p>Studies have indicated that <italic>E. faecium</italic> and <italic>E. faecalis</italic> are more prevalent in human-associated environments, whereas <italic>E. hirae</italic> are prevalent in beef cattle production systems (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). <italic>E. hirae</italic> only accounts for 1% of enterococcal infections in humans (<xref ref-type="bibr" rid="ref56">Heval Can et al., 2020</xref>) and is mainly linked to pyelonephritis (<xref ref-type="bibr" rid="ref26">Chan et al., 2012</xref>; <xref ref-type="bibr" rid="ref88">P&#x00E3;osinho et al., 2016</xref>; <xref ref-type="bibr" rid="ref81">Nakamura et al., 2021</xref>), endocarditis (<xref ref-type="bibr" rid="ref104">Talarmin et al., 2011</xref>; <xref ref-type="bibr" rid="ref90">Pinkes et al., 2019</xref>), and biliary tract infections (<xref ref-type="bibr" rid="ref105">Tan et al., 2010</xref>; <xref ref-type="bibr" rid="ref18">Bourafa et al., 2015</xref>). As with <italic>E. faecalis</italic> and <italic>E. faecium, E. hirae</italic> infections are typically treated with ampicillin, gentamicin, or vancomycin (<xref ref-type="bibr" rid="ref81">Nakamura et al., 2021</xref>).</p>
<p>The focus of this study was to investigate the genomic relatedness of <italic>E. hirae</italic> across the environmental continuum and to identify the genetic nature of AMR in <italic>E. hirae</italic>. Furthermore, we applied a pan-genome analysis to identify genes that may account for the predominance of <italic>E. hirae</italic> within beef cattle production systems.</p>
</sec>
<sec id="sec2" sec-type="methods">
<title>Methodology</title>
<sec id="sec3">
<title>Bacterial Isolates</title>
<p>A total of 8,430 <italic>Enterococcus</italic> strains were isolated in a One-Health surveillance study from different segments of the environmental continuum using samples collected from beef production systems (i.e., feedlot cattle feces, catch-basin water, and manure), natural water sources, urban wastewater, and human clinical samples (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). Bovine fecal samples came from four feedlots in southern Alberta over two years (March 2014&#x2013;April 2016). Wastewater samples were collected from catch basins that accumulate runoff from the feedlots. Natural surface water samples came from up-stream and down-stream of the feedlots. Urban wastewater samples came from two wastewater plants located in southern Alberta. <italic>Enterococcus</italic> spp. recovered from patients with clinical infections were obtained through the Division of Medical Microbiology, Calgary Laboratory Services (now Alberta Precision Laboratories, Alberta Health Services) (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). This study focuses on <italic>Enterococcus hirae</italic>, collected as the most prevalent species from beef production system (<italic>n</italic> =&#x2009;4,601 isolate) (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). <xref rid="fig1" ref-type="fig">Figure 1</xref> represents the prevalence of <italic>E. hirae</italic> isolates in the sampled sources.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Prevalence of <italic>Enterococcus hirae</italic> isolates (<italic>n</italic> =&#x2009;4,601) identified across a One-health continuum.</p>
</caption>
<graphic xlink:href="fmicb-13-859990-g001.tif"/>
</fig>
<p>Enterococci were recovered in parallel from two different media types including Bile Esculin Azide (BEA) agar without antibiotic and BEA supplemented with 8&#x2009;&#x03BC;g/ml erythromycin, followed by species identification. <italic>E. hirae</italic> were identified <italic>via</italic> multiplex PCR targeting groES-EL and muramidase genes (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). As <italic>E. hirae</italic> was absent among clinical <italic>Enterococcus</italic> isolates (<italic>n</italic> =&#x2009;1892; <xref rid="fig1" ref-type="fig">Figure 1</xref>), complete genomes (<italic>n</italic> =&#x2009;3) of clinical <italic>E. hirae</italic> were retrieved from NCBI database for comparative genomic analysis (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
</sec>
<sec id="sec4">
<title>Antimicrobial Susceptibility Testing</title>
<p>Antimicrobial susceptibility testing was performed on a randomly selected subset (<italic>n</italic> =&#x2009;1319, 29%) of <italic>E. hirae</italic> isolates using the disk diffusion method, as per the Clinical and Laboratory Standards Institute (CLSI) documents M02-A12 and M100-S24. A panel of twelve antibiotics was used for testing based on their common usage for treatment of human enterococcal infections that included those drugs of critical importance (levofloxacin, linezolid, quinupristin/dalfopristin, teicoplanin, vancomycin, and tigecycline), high importance (erythromycin, ampicillin, gentamicin, and streptomycin), and medium importance (nitrofurantoin and tetracycline). <italic>Staphylococcus aureus</italic> ATCC 25923 and <italic>E. faecalis</italic> ATCC 29212 were used as reference quality controls (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). The BioMic V3 imaging system (Giles Scientific, Inc., Santa Barbara, CA, USA) was used to read zones of inhibition. Isolates were categorized based on CLSI interpretive criteria, except for tigecycline for which EUCAST interpretive criteria (The European Committee on Antimicrobial Susceptibility Testing, 2014) were used.</p>
</sec>
<sec id="sec5">
<title>Whole-Genome Sequencing</title>
<p>Whole-genomic sequencing of a subset of <italic>E. hirae</italic> isolates (<italic>n</italic> =&#x2009;286), including isolates originating from bovine feces (<italic>n</italic> =&#x2009;168), feedlot catch basin (<italic>n</italic> =&#x2009;62), bovine manure stockpiles (<italic>n</italic> =&#x2009;8), natural water sources (<italic>n</italic> =&#x2009;42), and urban wastewater (<italic>n</italic> =&#x2009;7), was performed using next-generation sequencing technology. Briefly, genomic DNA was extracted using the DNeasy Blood and Tissue Kit (Qiagen, Montreal, QC, Canada) with modifications (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>), followed by DNA quality assessment and quantification using a Nanodrop 2000 spectrophotometer and a Qubit Fluorometer with PicoGreen (Thermo Fisher Scientific, Mississauga, ON, Canada). Isolates were sequenced on an Illumina MiSeq platform using the MiSeq Reagent Kit V3 to generate 2&#x2009;&#x00D7;&#x2009;300&#x2009;bp paired-end reads. Raw read FASTQ files were assessed for the quality of sequence data using FastQC (Galaxy Version 0.72&#x2009;+&#x2009;galaxy1) (<xref ref-type="bibr" rid="ref110">Wingett and Andrews, 2018</xref>) and <italic>de novo</italic> assemblies were performed using Shovill (<xref ref-type="bibr" rid="ref10">Bankevich et al., 2012</xref>). Assembled contigs were then annotated by Prokka to identify all gene-coding sequences (<xref ref-type="bibr" rid="ref99">Seemann, 2014</xref>).</p>
</sec>
<sec id="sec6">
<title>AMR Determinants, Virulence, and Plasmid Detection</title>
<p>Assembled genomes were screened for the presence of AMR determinants, virulence genes, and plasmids using ABRicate (<ext-link xlink:href="https://github.com/tseemann/abricate/" ext-link-type="uri">https://github.com/tseemann/abricate/</ext-link>) against the NCBI Bacterial Antimicrobial Resistance Reference Gene database (NCBI BioProject ID: PRJNA313047), VirulenceFinder [pmid 15,608,208], and PlasmidFinder databases (<xref ref-type="bibr" rid="ref117">Zankari et al., 2012</xref>), respectively. Intact prophage were identified using PHASTER tool (<xref ref-type="bibr" rid="ref7">Arndt et al., 2016</xref>).</p>
</sec>
<sec id="sec7">
<title>Comparative Genomic Analysis</title>
<p>A total of 289 genomes including 286 assembled genomes from this study and 3 complete <italic>E. hirae</italic> genomes of clinical isolates retrieved from NCBI database (strain: 708, accession: NZ_CP055232.1; strain: FDAARGOS_234, accession: NZ_CP023011.2; and strain: 13344, accession: NZ_CP055229.1) were subjected to phylogenomic analysis. A core-genome phylogenomic tree was constructed using the (SNVPhyl v 1.0) pipeline (<xref ref-type="bibr" rid="ref300">Petkau et al., 2017</xref>). Briefly, all paired-end reads were mapped against the <italic>E. hirae</italic> reference genome (strain R17; GenBank accession: CP015516.1) to produce read pileups (SMALT v.0.7.5; <ext-link xlink:href="https://www.sanger.ac.uk/tool/smalt-0/" ext-link-type="uri">https://www.sanger.ac.uk/tool/smalt-0/</ext-link>). The read pileups were evaluated for mapping quality (minimum mean mapping quality score of 30), coverage cut offs (15X minimum depth of coverage), and a single-nucleotide variant (SNV) abundance ratio of 0.75 to generate a multiple sequence alignment of SNV containing sites. The final maximum likelihood-based phylogeny was generated by PhyML using unfiltered SNV alignment. Phylogenomic trees and associated metadata were visualized using Interactive Tree Of Life (iTOL) v5 tool (<xref ref-type="bibr" rid="ref70">Letunic and Bork, 2021</xref>).</p>
<p>Comparative genome analysis was done using the Roary v3.12.0 pipeline with default parameters (<xref ref-type="bibr" rid="ref86">Page et al., 2015</xref>). Genes identified by Prokka were used to construct pan-genomes. A pan-genome of 289 <italic>E. hirae</italic> isolates was reconstructed to identify core and accessory genes present in <italic>E. hirae</italic>. Furthermore, comparative analysis was performed between <italic>E. faecium</italic> and <italic>E. faecalis,</italic> which are predominantly associated with humans infections, and <italic>E. hirae.</italic> For this purpose, a small subset of <italic>E. hirae</italic> isolates (<italic>n</italic> =&#x2009;16) representative of the various sources and phylogenetic clades were randomly selected. Similarly, a subset of <italic>E. faecium</italic> (<italic>n</italic> =&#x2009;26) and <italic>E. faecalis</italic> (<italic>n</italic> =&#x2009;24) isolates were randomly selected on the same bases from our previous study (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>; BioProject PRJNA604849). The phandango interactive viewer tool (<xref ref-type="bibr" rid="ref50">Hadfield et al., 2017</xref>) was used to interpret pan-genome data obtained from Roary analysis. This tool utilizes two of the Roary output files: one is a gene absence and presence matrix file that creates a heat map based on the number of genes present or absent in each isolate and a Newick-formatted tree file of accessory genomes used to plot a relatedness dendrogram of the accessory genes present in all isolates.</p>
<p>A pan-genome plot was generated using ggplot2 package of R Studio Version 1.4.1103 (R Studio Inc., Boston, MA, USA) based on two Roary output files (the number of conserved genes and the number of total genes). The number of conserved genes represented the size of the core genome. The number of total genes represented both the core and accessory genomes, creating a curve based on the pan-genome completeness. The pan-genome of an organism is considered &#x201C;closed&#x201D; if the curve is predicted to plateau or &#x201C;open&#x201D; if the curve is predicted to continue to rise. In contrast to a closed genome, the number of new gene families in an open genome increases with the inclusion of new genomes in the analysis.</p>
<p>Discriminatory genomic signatures between <italic>E. hirae</italic>, <italic>E. faecium,</italic> and <italic>E. faecalis</italic> were identified using Neptune v1.2.5 with default parameter (<xref ref-type="bibr" rid="ref74">Marinier et al., 2017</xref>). The signature discovery process using Neptune identifies sequences that are sufficiently common to a group of target sequences (inclusion group) and sufficiently absent from non-targets (exclusion group) using probabilistic models. Analyses was done using <italic>E. hirae</italic> genomes as the inclusion group and <italic>E. faecium</italic> and <italic>E. faecalis</italic> as independent exclusion groups, respectively. The genomic signature found in &#x2265;90% of isolates in the inclusion group were selected and annotated using Prokka (<xref ref-type="bibr" rid="ref99">Seemann, 2014</xref>).</p>
</sec>
</sec>
<sec id="sec8" sec-type="results">
<title>Results</title>
<sec id="sec9">
<title>Antimicrobial Susceptibility Testing</title>
<p>Phenotypic susceptibility testing was conducted on 1,319 <italic>E. hirae</italic> isolates originating from bovine feces, feedlot catch-basin water, stockpiled bovine manure, and natural and urban wastewater sources. (<xref rid="fig2" ref-type="fig">Figure 2</xref>). Fifty-one different resistance profiles were identified with the most frequent being resistant to doxycycline and erythromycin (364/1319, 27.6%) followed by resistance to doxycycline alone (242/1319, 18.3%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). Across all tested isolates, 14.1% (186/1319) were multi-drug resistant (resistant to &#x2265;3 tested antimicrobials). Antimicrobial susceptibility profiles of all tested isolates are presented in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Phenotypic resistance profiles of <italic>Enterococcus hirae</italic> isolated from beef production system (<italic>n</italic> =&#x2009;1,264) including bovine feces and feedlot catch basin, natural water source (<italic>n</italic> =&#x2009;45), and urban wastewater sample (<italic>n</italic> =&#x2009;9).</p>
</caption>
<graphic xlink:href="fmicb-13-859990-g002.tif"/>
</fig>
<sec id="sec10">
<title>Isolates Recovered From BEA Plates Without Erythromycin</title>
<p>Out of 1,319 total isolates tested for antimicrobial susceptibility, 666 isolates were recovered from BEA plates without erythromycin. From these, isolates originating from beef production systems (i.e., bovine feces, catch basin, and stockpiled bovine manure; <italic>n</italic> =&#x2009;632) exhibited a high prevalence of resistance to tetracycline (376/632, 59.4%), followed by macrolides (200/632, 31.6%), nitrofurantoin (102/632, 16.1%), tigecycline (76/632, 12.0%), linezolid (40/632, 6.32%), ampicillin (9/632, 1.42%), quinupristin/dalfopristin (8/632, 1.26%), vancomycin (1/632, 0.15%), and teicoplanin (1/632, 0.15%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
<p>The natural water source isolates recovered from BEA plates without antibiotics (<italic>n</italic> =&#x2009;28) also showed a high prevalence of tetracycline resistance (22/28, 78.5%), followed by macrolides (8/28, 28.5%), nitrofurantoin (5/28, 17.8%), and tigecycline (1/28, 3.57%). Resistance against quinupristin/dalfopristin, linezolid, ampicillin, and fluoroquinolones was not detected (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
<p>Of the 233 <italic>Enterococcus</italic> spp. isolates recovered from urban wastewater (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>), only nine were identified as <italic>E. hirae</italic>. Six of those were recovered from media without erythromycin. Four of the six isolates exhibited resistance to tigecycline (4/6, 66.6%) followed by nitrofurantoin (3/6, 50%), linezolid (3/7, 48.85%), fluoroquinolones (2/6, 33.3%), vancomycin (1/6, 16.6%), and ampicillin (1/7, 14.2%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
</sec>
<sec id="sec11">
<title>Isolates Recovered From BEA Plates With Erythromycin</title>
<p>A total of 652 isolates from erythromycin plates were selected for phenotypic antimicrobial testing. Of these isolates, 632 originated from beef production (i.e., bovine feces, catch basin, and stockpiled bovine manure). Tetracycline resistance (437/632, 69%) was the most prevalent resistance in the beef isolates from production systems, followed by macrolides (525/632, 83%), tigecycline (67/632, 10.6%), nitrofurantoin (60/632, 9.5%), linezolid (33/632, 5.2%), quinupristin/dalfoprstin (13/632, 2.0%), ampicillin (9/632, 1.42%), fluoroquinolones (5/632, 0.79%), and gentamicin (1/632, 0.15%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
<p>The isolates recovered from natural water sources (<italic>n</italic> =&#x2009;17) showed a high prevalence of resistance to macrolides (15/17, 88.2%), followed by tetracycline (13/17, 76.4%), tigecycline (2/17, 11.76%), quinupristin/dalfoprstin (1/17, 5.88%), and nitrofurantoin (1/17, 5.88%). None of the isolates were resistant to linezolid, ampicillin, or fluoroquinolones (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
<p>A total of three <italic>E. hirae</italic> isolates were recovered from urban waste sources on erythromycin plates. Two of those isolates showed macrolide resistance (2/3, 66.6%), followed by tetracycline (1/3, 33.3%), nitrofurantoin (1/3, 33.3%), quinupristin/dalfoprstin (1/3, 33.3%), and streptomycin (1/3, 33.3%). These isolates were sensitive to teicoplanin, ampicillin, vancomycin, gentamicin, tigecycline, fluoroquinolones, and linezolid (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>). Overall, 16.8% of isolates (110/652) recovered from erythromycin plates showed intermediate resistance to erythromycin.</p>
</sec>
</sec>
<sec id="sec12">
<title>Whole-Genome Sequencing</title>
<p>Of the <italic>E. hirae</italic> isolates tested for antimicrobial susceptibility, 286 randomly selected isolates were used for whole-genome sequencing. The size of <italic>E. hirae</italic> genomes as interpreted from the assembled sequence read data ranged from 2,307,753&#x2009;bp to 3,200,875&#x2009;bp, with a GC content of 36.7%. Detailed assembly statistics are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>.</p>
</sec>
<sec id="sec13">
<title>AMR Determinants</title>
<p>Assembled genomes (<italic>n</italic> =&#x2009;286) were screened for the presence of AMR determinants using the Abricate tool along with the NCBI AMR gene database. Ten different ARGs, including aminoglycosides ARGs <italic>aac(6&#x2032;)-Iid, ant(6)-Ia</italic> and <italic>aph(3)-III</italic>, streptothricin <italic>sat4</italic>, tetracycline ARGs <italic>tet (L, M, O, S/M, (O/32/O))</italic>, and macrolide ARG <italic>erm(B)</italic> were identified across the examined genomes (<xref rid="fig3" ref-type="fig">Figure 3</xref>). Overall, nineteen different resistance genotypes were identified with the most frequent being <italic>aac(6&#x2032;)-lid-tet(L)-erm(B)</italic> (87/286, 30.41%) followed by <italic>aac(6&#x2032;)-lid-tet(L)-tet(M)-erm(B)</italic> (64/286, 22.37%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S4</xref>). The aminoglycoside resistance gene <italic>aac(6&#x2032;)-lid</italic> was identified in all but two of the <italic>E. hirae</italic> genomes (284/286, 99.30%).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Core-genome phylogenetic tree based on analysis of single-nucleotide polymorphisms (SNPs) of <italic>Enterococcus hirae</italic> genomes (<italic>n</italic> =&#x2009;291) isolated from different environmental settings including beef production systems and human-related isolates. The genomes were compared using <italic>E. hirae</italic> OG1RF genome (GenBank accession # NZ_CP015516.1/CP015516.1) as a reference.</p>
</caption>
<graphic xlink:href="fmicb-13-859990-g003.tif"/>
</fig>
<p>Of the 286 sequenced isolates, 238 were recovered from beef production systems (i.e., bovine feces, feedlot catch basin, and stockpiled bovine manure). <italic>tet(L)</italic> (199/238, 83.61%) was the most prevalent ARG identified in these isolates, followed by <italic>erm(B)</italic> (179/238, 75.21%) and the tetracycline resistance genes, <italic>tet (M)</italic> (73/238, 30.67%), <italic>tetO</italic> (36/238, 15.12%), <italic>tet(O/32/O)</italic> (13/238, 5.46%), and <italic>tet(S/M)</italic> (03/238, 1.26%).</p>
<p>Similar to beef production system isolates, <italic>E. hirae</italic> isolates recovered from natural water sources located near feedlots showed a high prevalence of <italic>tet(L)</italic> (38/41, 92.68%) followed by <italic>erm(B)</italic> (27/41, 65.85%). Occasionally, <italic>tet(M)</italic> (4/41, 9.75%), <italic>tet(O)</italic> (4/41, 9.75%), and tet(O/32/O) (2/41, 4.87%) were also present in these isolates.</p>
<p>Among seven <italic>E. hirae</italic> isolates recovered from urban wastewater, the streptomycin resistance gene <italic>ant(6)-la</italic> was present in two isolates (2/7, 28.57%). The kanamycin/neomycin <italic>aph(3&#x2032;)-III</italic> and streptothricin <italic>sat4</italic> resistance genes were both found in a single urban wastewater isolate (1/7, 14.28%). Tetracycline resistance gene(s) were not found in any of these isolates, whereas <italic>erm(B)</italic> was only detected in one isolate (1/7, 14.28%).</p>
<p><italic>tet(L)</italic> and <italic>erm(B)</italic> were found together in 63.63% of total isolates (182/286) indicating a strong correlation. Similarly, <italic>tet (L)</italic> and <italic>tet (M)</italic> coexisted in 24.12% of isolates (69/286) and in most cases were found on the same contig (60/69, 87%) in assembled genomes.</p>
<p><italic>E. hirae</italic> genotypes generally associated with quinolone resistance (i.e., presence of quinolones resistant gene (qnr) or DNA gyrase and DNA topoisomerase IV genes mutations) and linezolid resistance (i.e., mutations in the 23S ribosomal RNA gene or presence of resistance genes including <italic>cfr</italic>, <italic>cfrB</italic>, <italic>optrA,</italic> and <italic>poxtA</italic>) were not identified.</p>
</sec>
<sec id="sec14">
<title>Virulence Factors</title>
<p>Within the 286 <italic>E. hirae</italic> isolates, we identified nine different virulence genes associated with biofilm formation <italic>(bopD)</italic>, capsular polysaccharides biosynthesis <italic>(cpsA, cpsB, and cap8E)</italic>, hyaluronic acid production (<italic>hasC</italic>), proteolytic activity/chaperones <italic>(clpP),</italic> fibrinogen adhesions protein <italic>(fss3)</italic>, bile salt hydrolase <italic>(bsh)</italic>, and listeria adhesion protein <italic>(lap).</italic> All isolates carried <italic>cap8E</italic>, <italic>clpP</italic>, <italic>cpsA</italic>, <italic>cpsB</italic>, <italic>bopD</italic>, and <italic>lap</italic> genes, while <italic>hasC</italic>, <italic>bsh,</italic> and <italic>fss3</italic> were found in 98.95% (283/286), 89.86% (257/286), and 2.44% (7/286) of total isolates, respectively. These genes were also identified in publicly available clinical <italic>E. hirae</italic> genomes from humans. Pili protein-encoding gene <italic>ebpC</italic> was only detected in one of the human clinical isolates retrieved from NCBI. Detailed information is provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>.</p>
</sec>
<sec id="sec15">
<title>Plasmid Identification</title>
<p>Among all <italic>E. hirae</italic> isolates (<italic>n</italic> =&#x2009;286), 16% carried plasmids. Seven different plasmids (rep1, rep2, rep11, rep17, rep18, repUS7, and repUS12) were identified. Among these, rep2 and rep17 were recovered from all sample types except urban wastewater. In contrast, rep1, rep18, and repUS7 were recovered from urban wastewater samples. Two out of fifteen rep17 plasmids carried <italic>erm(B)</italic>, whereas one out of twenty rep2 plasmids carried <italic>tet(L).</italic> Of six repUS12 plasmids, five carried <italic>tet (L)</italic> and were recovered from bovine feces.</p>
</sec>
<sec id="sec16">
<title>Prophage Identification</title>
<p>A total of 30 genomes were randomly selected from all sample sources to identify bacteriophage using PHASTER. All isolates contain at least one prophage ranging from 7 to 48&#x2009;kb in size. Twenty-four intact prophage sequences were identified, with 95.5% identified as members of the family Siphoviridae. None of the identified prophages harbored ARGs.</p>
</sec>
<sec id="sec17">
<title>Comparative Genomic Analysis</title>
<p>Core-genome phylogenomic analysis was conducted on the 286 <italic>E. hirae</italic> isolated in this study and the three <italic>E. hirae</italic> genomes retrieved from NCBI. The <italic>E. hirae</italic> isolates clustered into six different clades, with no obvious segregation by source (<xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<p>Pan-genome analysis of <italic>E. hirae</italic> isolates identified 1,427 core genes (99 to 100% of strains), 358 soft core genes (95 to 99% of strains), 1701 shell genes (15 to 95% of strains), and 7,969 cloud genes (0 to 15% of strains) (<xref rid="fig4" ref-type="fig">Figure 4A</xref>). The pan-genome of <italic>E. hirae</italic> is open as the number of accessory genes progressively increased with increasing genomes (<xref rid="fig4" ref-type="fig">Figure 4B</xref>). In addition, the gene presence and absence heat map showed that the accessory genome constituted a large part of the pan-genome, indicative of a high level of genomic diversity within this species (<xref rid="fig4" ref-type="fig">Figure 4C</xref>). Cross-species comparative analysis of <italic>E. hirae</italic>, <italic>E. faecium,</italic> and <italic>E. faecalis</italic> genomes, highlighted the genomic diversity within <italic>Enterococcus</italic> spp. as the total core genome shared between three species was small (<xref rid="fig5" ref-type="fig">Figure 5</xref>). Furthermore, it also demonstrated the distinct genomic traits of each species as illustrated by the gene absence and presence heat map (<xref rid="fig5" ref-type="fig">Figure 5</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Pan-genome estimation of <italic>Enterococcus hirae</italic> <bold>(A)</bold> genomic statistics and pan-genome estimation of 291 isolates. <bold>(B)</bold> Development of pan- and core genomes, illustrating the open nature of the pan-genome. <bold>(C)</bold> Heat map representing absence or presence of genes in isolates and the phylogenetic genetic tree generated from accessory genes.</p>
</caption>
<graphic xlink:href="fmicb-13-859990-g004.tif"/>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Heat map representing absence or presence of genes and phylogenetic genetic tree generated from accessory genes of <italic>Enterococcus hirae</italic> (<italic>n</italic> =&#x2009;16), <italic>Enterococcus faecium</italic> (<italic>n</italic> =&#x2009;26), and <italic>Enterococcus faecalis</italic> (<italic>n</italic> =&#x2009;24).</p>
</caption>
<graphic xlink:href="fmicb-13-859990-g005.tif"/>
</fig>
<p>A total of 1,069 discriminatory genomic signatures were recognized in <italic>E. hirae</italic> compared to <italic>E. faecalis</italic> (<italic>n</italic> =&#x2009;808) and <italic>E. faecium</italic> (<italic>n</italic> =&#x2009;261). Most of these genomic signatures encoded for unknown hypothetical proteins (454/1069, 42.46%).</p>
<p>Neptune analysis is capable of identifying inter-species genomic variation, as discriminatory loci were identified in all three species. These loci coded for genes required for the synthesis of aromatic amino-acids including chorismate synthase (<italic>aroC</italic>), cyclohexadienyl dehydrogenase (<italic>tyrC</italic>), genes for sugar transport including permease (<italic>yteP</italic>), transcriptional regulator (<italic>mtlR)</italic>, lichenan permease IIC component (<italic>licC</italic>), and lipoprotein (<italic>lipO</italic>).</p>
<p>Signatures found exclusively in <italic>E. hirae</italic> genomes included genes associated with the phosphotransferase system for galactitol (<italic>gatA, B,</italic> and <italic>C</italic>) and fructose (<italic>fruA, frwA,</italic> and <italic>frwD</italic>), peptidoglycan synthesis (<italic>rodA ftsW, mur E, F, J,</italic> and <italic>Y</italic>), teichoic acid synthesis (<italic>tag H, G,</italic> and <italic>U</italic>), coenzyme A biosynthesis (<italic>coaD</italic>), vitamin B12 synthesis (<italic>nrdZ</italic>), chitin degradation (<italic>chiA</italic>), capsule synthesis (<italic>epsE, pglF, ywqD,</italic> and <italic>ywqC</italic>), riboflavin synthesis (<italic>ribBA</italic>, <italic>D, E,</italic> and <italic>H</italic>), vitamin B6 synthesis (<italic>yvgN</italic>), vitamin uptake transporter (<italic>queT</italic>), gamma-aminobutyric acid (GABA) production (<italic>glsA2, gadC,</italic> and <italic>amt</italic>), cardiolipin biosynthesis (<italic>clsA</italic>), bacitracin export (<italic>bceA</italic> and <italic>B</italic>), xenobiotic degradation (<italic>nylA</italic>), and iron transport (<italic>yqgN, feuC, feuB, fepC,</italic> and <italic>yfiY</italic>).</p>
<p>Furthermore, genes that may be associated with antimicrobial resistance were also identified in <italic>E. hirae</italic> genomes such as those encoding for multi-drug transporters (<italic>marA, mepE msrR,</italic> and <italic>yxlF</italic>), doxorubicin resistance (<italic>drrA</italic>), sulfonamide resistance (<italic>bcr</italic>), and penicillin-binding protein (<italic>pbp</italic>). Early secreted antigenic target (ESAT) system genes (<italic>eccC, essB</italic>, and <italic>esxA</italic>) were also found in <italic>E. hirae</italic> genomes.</p>
<p>Compared to <italic>E. hirae</italic>, 160 and 944 discriminatory genomic signatures were identified in <italic>E. faecium</italic> and <italic>E. faecalis</italic> genomes, respectively, with most of these genes associated with various aspects of cellular metabolism, such as molybdopterin biosynthesis (<italic>mog</italic>, <italic>modB,</italic> and <italic>modB</italic>); cadmium, zinc, and cobalt transport (<italic>cadA</italic>); copper export (<italic>copY</italic> and <italic>copA</italic>); phosphotransferase system for glucitol/sorbitol (<italic>srlA</italic>, <italic>srlE,</italic> and <italic>srlB</italic>), sorbose (<italic>sorB</italic>, <italic>sorF,</italic> and <italic>sorA</italic>), mannose (<italic>manX</italic> and manZ), cellobiose (<italic>celA</italic>), mannitol (<italic>mtlA</italic>, <italic>mtlF,</italic> and <italic>mtlD</italic>), maltose (<italic>malX</italic>), ascorbate (<italic>ulaC</italic> and <italic>ulaA</italic>), and beta-glucosides (<italic>bglF</italic>). In addition, genes encoding <italic>E. faecalis</italic> and <italic>E. faecium</italic> pathogenesis were also identified, such as biofilm formation genes (<italic>brpA</italic>, <italic>icaA,</italic> and <italic>lytR</italic>); virulence genes, including unsaturated chondroitin disaccharide hydrolase (<italic>ugl</italic>); anthrax toxin regulator positive (<italic>atxA</italic>); hemin transport system (<italic>hmuU</italic> and <italic>hmuT</italic>); sialic acid TRAP transporter small permease (<italic>siaQ</italic>); carnitine transport system (<italic>opuCB</italic> and <italic>opuCA</italic>); arginine/ornithine system (<italic>argR</italic> and <italic>arcD1</italic>); genes encoding the adhesions, including gelatinase (<italic>gelE</italic>) and collagen (<italic>cna</italic>); and genes encoding for antimicrobial resistance, including penicillin-binding protein (PbpE, PbpX, and PbpF), multi-drug resistance protein (YkkC, YkkD, and Stp), tetracycline repressor protein (TetR), fluoroquinolones export protein (Rv2688c), and macrolide export protein (MacB) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S7</xref>).</p>
</sec>
</sec>
<sec id="sec18" sec-type="discussions">
<title>Discussion</title>
<p>Enterococci are ubiquitous Gram-positive bacteria. They colonize gastrointestinal tracts of most multicellular eukaryotic organisms including humans, animals, and insects and aide in digestion and gut metabolic pathways (<xref ref-type="bibr" rid="ref33">De Graef et al., 2003</xref>; <xref ref-type="bibr" rid="ref42">Farrow and Collins, 1985</xref>; <xref ref-type="bibr" rid="ref36">Devriese et al., 1990</xref>; <xref ref-type="bibr" rid="ref6">Andrew and Mitchell, 1997</xref>; <xref ref-type="bibr" rid="ref34">de Vaux et al., 1998</xref>; <xref ref-type="bibr" rid="ref79">Muniesa et al., 1999</xref>; <xref ref-type="bibr" rid="ref44">Fogarty et al., 2003</xref>; <xref ref-type="bibr" rid="ref68">Law-Brown and Meyers, 2003</xref>; <xref ref-type="bibr" rid="ref73">Maria da Gloria et al., 2006</xref>; <xref ref-type="bibr" rid="ref69">Layton et al., 2010</xref>; <xref ref-type="bibr" rid="ref49">Giraffa, 2014</xref>). In addition, they are also found in food, plant, and water ecosystems (<xref ref-type="bibr" rid="ref78">M&#x00FC;ller et al., 2001</xref>; <xref ref-type="bibr" rid="ref102">Svec et al., 2001</xref>; <xref ref-type="bibr" rid="ref66">Klein, 2003</xref>; <xref ref-type="bibr" rid="ref103">&#x0160;vec et al., 2006</xref>; <xref ref-type="bibr" rid="ref21">Byappanahalli et al., 2012</xref>). Enterococci are remarkably resilient to broad pH ranges, temperature variation, and osmotic pressure, traits that contribute to their broad distribution in nature (<xref ref-type="bibr" rid="ref54">Heim et al., 2002</xref>; <xref ref-type="bibr" rid="ref24">Caretti and Lubello, 2003</xref>; <xref ref-type="bibr" rid="ref5">Anderson et al., 2005</xref>). Resistant bacterial populations are selected by the exposure of commensal gut microorganisms such as enterococci to antimicrobials that are used for disease treatment and prevention (<xref ref-type="bibr" rid="ref46">Francino, 2016</xref>). The ubiquitous nature of enterococci may facilitate the dissemination of antimicrobial resistance genes between different environments. For this reason, it is imperative to identify antimicrobial resistance determinants and their role in the spread of antimicrobial resistance (<xref ref-type="bibr" rid="ref22">Cameron and McAllister, 2016</xref>). Here, we focused on <italic>E. hirae</italic> isolates recovered from a One-Health surveillance study (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). The genomic relatedness of <italic>E. hirae</italic> was examined across various sampling matrices of the continuum and AMR determinants that contribute to antimicrobial resistance were identified. Furthermore, we examined the genomic traits of <italic>E. hirae</italic> that may facilitate their growth in the cattle gut as compared with other human-associated <italic>Enterococcus</italic> species.</p>
<p>As described previously, <italic>E. hirae</italic> is highly prevalent in cattle and thus can be readily isolated from bovine feces, bovine manure, and feedlot catch-basin water samples (<xref ref-type="bibr" rid="ref60">Jackson et al., 2011</xref>; <xref ref-type="bibr" rid="ref115">Zaheer et al., 2013</xref>, <xref ref-type="bibr" rid="ref114">2020</xref>; <xref ref-type="bibr" rid="ref14">Beukers et al., 2015</xref>). The number of <italic>E. hirae</italic> isolates recovered from urban wastewater was low (3%) and most of the <italic>Enterococcus</italic> spp. from this source were identified as either <italic>E. faecalis</italic> or <italic>E. faecium</italic>. Similarly, only <italic>E. faecalis</italic> or <italic>E. faecium</italic> was identified among human clinical isolates, confirming that <italic>E. hirae</italic> is generally not associated with human infections. However, <italic>E. hirae</italic> have occasionally been isolated from human cases of septicemia (<xref ref-type="bibr" rid="ref48">Gilad et al., 1998</xref>), endocarditis (<xref ref-type="bibr" rid="ref93">Poyart et al., 2002</xref>; <xref ref-type="bibr" rid="ref104">Talarmin et al., 2011</xref>), urinary tract infections (<xref ref-type="bibr" rid="ref26">Chan et al., 2012</xref>; <xref ref-type="bibr" rid="ref18">Bourafa et al., 2015</xref>), spondylodiscitis (<xref ref-type="bibr" rid="ref23">Canalejo et al., 2008</xref>), and acute pancreatitis (<xref ref-type="bibr" rid="ref37">Dicpinigaitis et al., 2015</xref>). The rarity of this species among clinical enterococci isolates suggests that this species may not be as virulent as <italic>E. faecalis</italic> and <italic>E. faecium</italic>. This finding is also evident from our comparative genomic analysis where virulence genes were frequently identified in <italic>E. faecalis</italic> and <italic>E. faecium,</italic> but not in <italic>E. hirae</italic>.</p>
<p>The phenotypic resistance profiles of 1,319 <italic>E. hirae</italic> isolates showed that antimicrobial use and resistance phenotype were linked within a particular environment. For example, macrolides and tetracyclines are commonly used in beef cattle production systems for disease treatment and prevention including prophylaxis/metaphylaxis (<xref ref-type="bibr" rid="ref58">Hurd and Malladi, 2008</xref>; <xref ref-type="bibr" rid="ref22">Cameron and McAllister, 2016</xref>; <xref ref-type="bibr" rid="ref108">Vikram et al., 2017</xref>). Isolates recovered from bovine feces, feedlot catch basin, stockpiled bovine manure, and natural surface water in the vicinity of the feedlots showed high occurrence of resistance to these antibiotics. Although only nine <italic>E. hirae</italic> isolates were recovered from urban wastewater, their resistance profiles indicated linkage with drugs commonly used to treat human infections including nitrofurantoin, tigecycline, and linezolid.</p>
<p>Genotypic resistance profiles of <italic>E. hirae</italic> corroborated to their phenotypic profiles, where tetracycline and macrolide resistance genes were predominantly present in isolates recovered from the beef cattle production system and natural water sources. This is consistent with previous studies where tetracycline and macrolide resistance genotypes were prevalent in beef production systems (<xref ref-type="bibr" rid="ref115">Zaheer et al., 2013</xref>, <xref ref-type="bibr" rid="ref116">2019</xref>; <xref ref-type="bibr" rid="ref94">Rovira et al., 2019</xref>). Tetracycline resistance was associated with the presence of <italic>tetL, M,</italic> and <italic>O</italic>. Two mosaic tetracycline genes <italic>tetS/M</italic> and <italic>tetO/32/O</italic> were also identified. <italic>tetL</italic> confers resistance <italic>via</italic> an efflux mechanism, while <italic>tetM</italic>, <italic>tetS/M</italic>, O, and <italic>O/32/O</italic> encode for ribosomal protection proteins (<xref ref-type="bibr" rid="ref96">Safferling et al., 2003</xref>; <xref ref-type="bibr" rid="ref63">Kazimierczak et al., 2008</xref>; <xref ref-type="bibr" rid="ref11">Barile et al., 2012</xref>; <xref ref-type="bibr" rid="ref31">Crespo et al., 2012</xref>; <xref ref-type="bibr" rid="ref39">D&#x00F6;nh&#x00F6;fer et al., 2012</xref>). These genes are mostly found on transposable elements that are often linked with chloramphenicol and macrolide resistance determinants (<xref ref-type="bibr" rid="ref84">Opal and Pop-Vicas, 2015</xref>). Macrolide resistance was associated with the presence of <italic>erm(B),</italic> which confers resistance against macrolide-lincosamide-streptogramin antibiotics (<xref ref-type="bibr" rid="ref83">Okitsu et al., 2005</xref>). Others have also found <italic>erm(B)</italic> in <italic>E. hirae</italic> (<xref ref-type="bibr" rid="ref91">Portillo et al., 2000</xref>; <xref ref-type="bibr" rid="ref25">Chaj&#x0119;cka-Wierzchowska et al., 2016</xref>), as well as in <italic>E. faecalis</italic> and <italic>E. faecium</italic> isolated from chickens (<xref ref-type="bibr" rid="ref64">Kim et al., 2019</xref>, <xref ref-type="bibr" rid="ref65">2021</xref>), turkies (<xref ref-type="bibr" rid="ref106">Tremblay et al., 2011</xref>; <xref ref-type="bibr" rid="ref35">Demirg&#x00FC;l and Tuncer, 2017</xref>), pigs (<xref ref-type="bibr" rid="ref1">Aarestrup, 2000</xref>), fermented food (<xref ref-type="bibr" rid="ref45">Sanchez Valenzuela., 2013</xref>), and clinical settings (<xref ref-type="bibr" rid="ref98">Schmitz et al., 2000</xref>; <xref ref-type="bibr" rid="ref27">Chen et al., 2010</xref>; <xref ref-type="bibr" rid="ref109">Wang et al., 2021</xref>). The macrolide resistance gene and tetracycline resistance genes in <italic>E. hirae</italic> appear to be identical to those in <italic>E. faecalis</italic> and <italic>E. faecium</italic> (<xref ref-type="bibr" rid="ref15">Beukers et al., 2017</xref>; <xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>). Considering that all of these species carry similar AMR determinants, the possibility of horizontal gene transfer across species seems probable (<xref ref-type="bibr" rid="ref87">Palmer et al., 2010</xref>). Studies have identified the presence of pheromone responsive plasmids in <italic>E. faecium</italic> and <italic>E. faecium</italic> that either encode vancomycin resistance or facilitate the transfer of plasmids carrying vancomycin ARGs into recipient cells (<xref ref-type="bibr" rid="ref43">Flannagan and Clewell, 2002</xref>; <xref ref-type="bibr" rid="ref62">Johnson et al., 2021</xref>). These plasmids can also transfer between <italic>Enterococcus</italic> species, as the pMG1 plasmid has been shown to transfer between <italic>E. faecium</italic> and <italic>E. faecalis</italic>, and from <italic>E. faecium</italic> to <italic>E. hirae</italic> (<xref ref-type="bibr" rid="ref29">Costa et al., 1993</xref>).</p>
<p>Aminoglycoside gene <italic>acc(6&#x2032;)-lid</italic> is known to be intrinsic in <italic>E. hirae</italic> (<xref ref-type="bibr" rid="ref29">Costa et al., 1993</xref>) and was detected in all but two genomes, likely as a result of gene coverage and assemblage issues. It is not surprising that vancomycin resistance genes were not identified in <italic>E. hirae</italic>, as this drug is not approved for veterinary use in North American cattle. Our result is consistent with a previous study where vancomycin resistance genes were not identified in <italic>Enterococcus</italic> spp. isolated from bovine feces (<xref ref-type="bibr" rid="ref15">Beukers et al., 2017</xref>). The virulence genes identified in <italic>E. hirae</italic> were mostly associated with biofilm formation and polysaccharide biosynthesis, as described by others (<xref ref-type="bibr" rid="ref52">Hashem et al., 2017</xref>). The 10 virulence genes that were identified in <italic>E. hirae</italic> were similar to those in <italic>E. faecalis</italic> and <italic>E. faecium</italic>, but many more (i.e., 49) virulence genes were found in <italic>E. faecium</italic> and <italic>E. faecalis</italic> (<xref ref-type="bibr" rid="ref114">Zaheer et al., 2020</xref>).</p>
<p>Pan-genome analysis is an important comparative analysis tool that allows linkages between genetic changes and specific phenotypes as it describes core- and accessory genomes as well as species-specific genes (<xref ref-type="bibr" rid="ref28">Vernikos, 2020</xref>). The core genome constituted only 64% of the total genome in <italic>E. hirae</italic>. Both horizontal and vertical transfer of genes, including those that confer antimicrobial resistance, play a significant role in shaping the pan-genome of a bacterial species (<xref ref-type="bibr" rid="ref38">Ding et al., 2018</xref>). The pan-genome of <italic>E. hirae</italic> was considered &#x201C;open&#x201D; as there was no sign of saturation and it would be expected to expand with the addition of new genomes as illustrated by the pan-genome curve (<xref rid="fig4" ref-type="fig">Figure 4B</xref>). The high presence of cloud genes reflects the heterogeneity of the pan-genome of <italic>E. hirae.</italic> The existence of <italic>E. hirae</italic> in diverse environments may increase the chance of gene acquisition, in contrast to other <italic>Enterococcus</italic> species that may live in more specific environments that require less genomic variation for survival (<xref ref-type="bibr" rid="ref30">Costa et al., 2020</xref>).</p>
<p>Gram-positive bacteria have sophisticated cell wall structures that ensure bacterial structural integrity and cellular viability and are also a major component of the host defense system (<xref ref-type="bibr" rid="ref67">Koch, 2003</xref>; <xref ref-type="bibr" rid="ref100">Silhavy et al., 2010</xref>). For this reason, numerous studies have been conducted to explore components of cell wall synthesis pathways as potential targets for drug therapy. Genes involved in cell wall synthesis were identified as discriminatory genomic signatures between <italic>E. faecalis</italic> and <italic>E. hirae</italic>. Identification of these different signatures [peptidoglycan synthesis genes (<italic>Mur E, F,</italic> and <italic>Y</italic>), penicillin-binding protein (<italic>pbpE</italic> and <italic>pbpX</italic>), teichoic acid synthesis genes (<italic>tag H, G,</italic> and <italic>U</italic>), and enterococcal polysaccharide antigen (<italic>eps E, D, M,</italic> and <italic>N</italic>)] may identify targets that offer more specific drug development against <italic>E. faecalis</italic> and <italic>E. faecium</italic> (<xref ref-type="bibr" rid="ref89">Parisien et al., 2008</xref>).</p>
<p>Members of gut microflora compete with each other for nutrient availability. Therefore, the ability of one bacterial species to utilize multiple nutrients for energy generation provides an advantage over other species. We found genes involved in the synthesis of cobalamin (vitamin B12), pyridoxine (vitamin B6), riboflavin (vitamin B2), biotin (vitamin B7), and folic acid exclusive to the <italic>E. hirae</italic> species compared with other enterococci analyzed in this study. With vitamins being undeniably important for both bacteria and the mammalian host, gut bacteria associated with their production directly contribute to the development and welfare of the host and thus may have a specific function within the microbiome of the digestive tract of cattle. In <italic>E. hirae</italic> genomes, multiple phosphotransferase systems (PTS) for fructose, galactitol, mannose, sorbose, glucose, N-acetyl glucosamine, and cellobiose were identified. The presence of these PTS promotes colonization of these bacterial populations (<xref ref-type="bibr" rid="ref61">Jeckelmann and Erni, 2020</xref>). In addition, compared to <italic>E. faecalis</italic> and <italic>E. faecium</italic>, <italic>E. hirae</italic> harbored genes that were predicted to contribute to the synthesis of bacterial cellulose. These findings indicate that cellular metabolism genes identified in <italic>E. hirae</italic> may contribute to fitness within the cattle gut, accounting for its high prevalence in beef cattle.</p>
<p>Analysis of the annotated genomes indicated that <italic>E. hirae</italic> possessed genes coding for the production of antimicrobial agents like bacilysin, subtilosin, and narbonolide. Bacilysin is a dipeptide antimicrobial with antifungal and antibacterial activity (<xref ref-type="bibr" rid="ref85">&#x00D6;zcengiz and &#x00D6;&#x011F;&#x00FC;l&#x00FC;r, 2015</xref>). Subtilosin belongs to the lantibiotics class of bacteriocins and has anti-biofilm activity (<xref ref-type="bibr" rid="ref9">Babasaki et al., 1985</xref>; <xref ref-type="bibr" rid="ref3">Algburi et al., 2017</xref>). These bacteria are also capable of producing gamma-aminobutyric acid (GABA), an inhibitory neurotransmitter. GABA may increase feed intake in cattle and reduce anxiety and pain (<xref ref-type="bibr" rid="ref97">Sarasa et al., 2020</xref>; <xref ref-type="bibr" rid="ref72">Mamuad and Lee, 2021</xref>). These findings suggest that <italic>E. hirae</italic> may have probiotic properties that could benefit the gastrointestinal environment of cattle (<xref ref-type="bibr" rid="ref13">Ben Bra&#x00EF;ek and Smaoui, 2019</xref>). Previously, <italic>E. hirae</italic> has been employed as a probiotic bacteria in freshwater fish (<xref ref-type="bibr" rid="ref2">Adnan et al., 2017</xref>). Recent studies have also demonstrated that <italic>E. hirae</italic> may confer probiotic properties within the intestinal tract of cattle (<xref ref-type="bibr" rid="ref8">Arokiyaraj et al., 2014</xref>; <xref ref-type="bibr" rid="ref32">Daill&#x00E8;re et al., 2016</xref>).</p>
<p>One of the goals of this study was to identify the niche-specific genes in <italic>E. faecalis</italic> and <italic>E. faecium</italic> that may contribute to virulence and infection. Several virulence factors that contribute to the pathogenesis of <italic>E. faecalis</italic> and <italic>E. faecium</italic> have been reported (<xref ref-type="bibr" rid="ref4">Ali et al., 2017</xref>; <xref ref-type="bibr" rid="ref119">Zhou et al., 2020</xref>). Several virulence genes were unique to <italic>E. faecium</italic> and/or <italic>E. faecalis</italic> and were not found in <italic>E. hirae</italic>. Members of the SlyA/ MarA family of proteins are associated with virulence gene regulation, promote biofilm formation, and act as cell adhesions. The presence of genomic signatures corresponding to these genes may in part account for the higher prevalence of <italic>E. faecalis</italic> and <italic>E. faecium</italic> infections than <italic>E. hirae</italic> infections in humans (<xref ref-type="bibr" rid="ref71">M&#x00E4;kinen et al., 1989</xref>; <xref ref-type="bibr" rid="ref75">Michaux et al., 2011</xref>; <xref ref-type="bibr" rid="ref113">Yang et al., 2015</xref>). Lipoproteins facilitate intake of nutrients and are often associated with ABC transporters that are linked to pathogenesis. This supports our findings as genes encoding lipoproteins mapped with ABC transport systems for manganese, arabinose, and methionine (<xref ref-type="bibr" rid="ref118">Zhang et al., 1998</xref>; <xref ref-type="bibr" rid="ref59">Hutchings et al., 2009</xref>). Furthermore, in <italic>E. faecalis</italic> and <italic>E. faecium,</italic> we also identified an arginine-ornithine antiporter which could contribute to cell fitness by facilitating arginine uptake. A study conducted to investigate the role of arginine-ornithine antiporter in <italic>Streptococcus suis</italic> reported that intercellular survival of this pathogen within epithelial cells was compromised in the absence of the antiporter (<xref ref-type="bibr" rid="ref47">Fulde et al., 2014</xref>).</p>
<p>The potential of <italic>E. hirae</italic> as an opportunistic pathogen cannot be ignored, as it is occasionally recovered from both human and animal clinical samples (<xref ref-type="bibr" rid="ref82">Nicklas et al., 2010</xref>; <xref ref-type="bibr" rid="ref37">Dicpinigaitis et al., 2015</xref>; <xref ref-type="bibr" rid="ref40">Ebeling and Romito, 2019</xref>; <xref ref-type="bibr" rid="ref90">Pinkes et al., 2019</xref>; <xref ref-type="bibr" rid="ref16">Bilek et al., 2020</xref>). Despite a higher prevalence of virulence genes in <italic>E. faecium</italic> and <italic>E. faecalis,</italic> some virulence genes were also identified in <italic>E. hirae,</italic> like genes associated with the ESX (or Type VII) secretion system, bicyclomycin resistance, capsule biogenesis, quorum sensing system, and an ABC transporter for iron import (<xref ref-type="bibr" rid="ref101">Stauff et al., 2008</xref>; <xref ref-type="bibr" rid="ref95">Rutherford and Bassler, 2012</xref>; <xref ref-type="bibr" rid="ref17">Borst et al., 2015</xref>; <xref ref-type="bibr" rid="ref53">Hatosy and Martiny, 2015</xref>; <xref ref-type="bibr" rid="ref92">Poweleit et al., 2019</xref>). In addition, a lipoprotein gene associated with the iron transport system has been identified and is thought to play a role in <italic>E. hirae</italic> establishing opportunistic infections (<xref ref-type="bibr" rid="ref59">Hutchings et al., 2009</xref>).</p>
<p>In conclusion, <italic>E. hirae</italic> has a tremendous ability for survival and adaptation. It has acquired resistance to the most common antimicrobials used in beef production systems. In addition, cellular metabolism genes involved in vitamin biosynthesis, multiple ABC and PTS transport systems, chitin degradation, and cellulose synthesis provide selective advantage and facilitate intestinal colonization of the cattle gut. As <italic>E. hirae</italic> appears to be uniquely adapted to cattle hosts, this likely limits the extent to which it transfers genes to bacteria that are important in human health. Regardless, the absence of resistance to critical antimicrobials in <italic>E. hirae</italic> gives credibility to limiting use of these drugs in feedlots and suggests that prudent management of antimicrobials in feedlot settings is an important practice.</p>
</sec>
<sec id="sec19" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in BioProject PRJNA604849 and in online repositories. The names of the repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec id="sec20">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the Lethbridge Research Centre Animal Care and Use Committee and was conducted according to the Canadian Council of Animal Care Guidelines. Sampling procedures were conducted according to the protocol approved by the Animal Care Committee, University of Calgary (Protocol ID: AC14 -0029). Written informed consent was obtained from the owners for the participation of their animals in this study.</p>
</sec>
<sec id="sec21">
<title>Author Contributions</title>
<p>RZ and TM designed the study. SH and CB arranged for collection of feedlot samples, metadata, and antimicrobial use data. RB, SC, and RZ isolated and characterized enterococci. RB performed AST. S-e-ZZ, generated figures, analyzed overall data/results, and wrote first draft of the manuscript. GD provided and managed the bioinformatics cluster facility and bioinformatics tools. S-e-ZZ and RZ analyzed sequence data. TM and AZ provided funding and supervision. All authors participated in editing and reviewing the manuscript and approved the final manuscript.</p>
</sec>
<sec id="sec22" sec-type="funding-information">
<title>Funding</title>
<p>Authors are grateful to the Major Innovation Fund of the Government of Alberta in conjunction with the University of Calgary AMR One Health Consortium, the Beef Cattle Research Council (BCRC) Project FOS 10.13, and Genomics Research and Development Initiative of the Government of Canada for financial support.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>CB is part owner and managing partner of Feedlot Health Management Services.</p>
<p>The remaining 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="sec250" 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>
</body>
<back>
<ack>
<p>The authors acknowledge Noriko Goji for sequencing, and Wendi Smart, Krysty Munns, Reuben Ha, and Taylor Davedow for technical assistance. Cooperation of the feedlot and wastewater treatment plant operators is also gratefully appreciated.</p>
</ack>
<sec id="sec24" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2022.859990/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2022.859990/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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