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<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.2024.1364026</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>Pathogenomes and virulence profiles of representative big six non-O157 serogroup Shiga toxin-producing <italic>Escherichia coli</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kalalah</surname>
<given-names>Anwar A.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Koenig</surname>
<given-names>Sara S. K.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Bono</surname>
<given-names>James L.</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Bosilevac</surname>
<given-names>Joseph M.</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Eppinger</surname>
<given-names>Mark</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Molecular Microbiology and Immunology, University of Texas at San Antonio</institution>, <addr-line>San Antonio, TX</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>South Texas Center for Emerging Infectious Diseases (STCEID)</institution>, <addr-line>San Antonio, TX</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center</institution>, <addr-line>Clay Center, NE</addr-line>, <country>United States</country></aff>
<author-notes>
<fn id="fn0006" fn-type="edited-by"><p>Edited by: Axel Cloeckaert, Institut National de recherche pour l&#x2019;agriculture, l&#x2019;alimentation et l&#x2019;environnement (INRAE), France</p></fn>
<fn id="fn0007" fn-type="edited-by"><p>Reviewed by: Sabine Delannoy, Agence Nationale de S&#x00E9;curit&#x00E9; Sanitaire de l&#x2019;Alimentation, de l&#x2019;Environnement et du Travail (ANSES), France</p>
<p>Miklos Fuzi, Independent researcher, Budapest, Hungary</p>
<p>Ana Hurtado, Animalien Osasuna, NEIKER-Instituto Vasco de Investigaci&#x00F3;n y Desarrollo Agrario, Spain</p>
<p>David W. Ussery, University of Arkansas for Medical Sciences, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Mark Eppinger, <email>mark.eppinger@utsa.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>03</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1364026</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>02</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Kalalah, Koenig, Bono, Bosilevac and Eppinger.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Kalalah, Koenig, Bono, Bosilevac and Eppinger</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>Shiga toxin (Stx)-producing <italic>Escherichia coli</italic> (STEC) of non-O157:H7 serotypes are responsible for global and widespread human food-borne disease. Among these serogroups, O26, O45, O103, O111, O121, and O145 account for the majority of clinical infections and are colloquially referred to as the &#x201C;Big Six.&#x201D; The &#x201C;Big Six&#x201D; strain panel we sequenced and analyzed in this study are reference type cultures comprised of six strains representing each of the non-O157 STEC serogroups curated and distributed by the American Type Culture Collection (ATCC) as a resource to the research community under panel number ATCC MP-9. The application of long- and short-read hybrid sequencing yielded closed chromosomes and a total of 14 plasmids of diverse functions. Through high-resolution comparative phylogenomics, we cataloged the shared and strain-specific virulence and resistance gene content and established the close relationship of serogroup O26 and O103 strains featuring flagellar H-type 11. Virulence phenotyping revealed statistically significant differences in the Stx-production capabilities that we found to be correlated to the strain&#x2019;s individual <italic>stx</italic>-status. Among the carried Stx<sub>1a</sub>, Stx<sub>2a</sub>, and Stx<sub>2d</sub> phages, the Stx<sub>2a</sub> phage is by far the most responsive upon RecA-mediated phage mobilization, and in consequence, <italic>stx<sub>2a</sub> +</italic> isolates produced the highest-level of toxin in this panel. The availability of high-quality closed genomes for this &#x201C;Big Six&#x201D; reference set, including carried plasmids, along with the recorded genomic virulence profiles and Stx-production phenotypes will provide a valuable foundation to further explore the plasticity in evolutionary trajectories in these emerging non-O157 STEC lineages, which are major culprits of human food-borne disease.</p>
</abstract>
<kwd-group>
<kwd>Shiga toxin (Stx)-producing <italic>Escherichia coli</italic> (STEC)</kwd>
<kwd>non-O157 big six serogroups</kwd>
<kwd>whole genome sequencing and typing (WGST)</kwd>
<kwd>phylogenomics</kwd>
<kwd>virulence phenotyping</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="178"/>
<page-count count="16"/>
<word-count count="12762"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Agents and Disease</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Shiga toxin (Stx)-producing <italic>Escherichia coli</italic> (STEC) are distinguished from other <italic>E. coli</italic> pathovars (<xref ref-type="bibr" rid="ref86">Kaper et al., 2004</xref>) by the production of a phage-borne cytotoxin (<xref ref-type="bibr" rid="ref152">Smith et al., 2014</xref>; <xref ref-type="bibr" rid="ref91">Kr&#x00FC;ger and Lucchesi, 2015</xref>; <xref ref-type="bibr" rid="ref178">Zuppi et al., 2020</xref>) that is toxigenic toward renal endothelial (<xref ref-type="bibr" rid="ref119">Obrig and Karpman, 2012</xref>) and intestinal epithelial cells (<xref ref-type="bibr" rid="ref146">Sch&#x00FC;ller, 2011</xref>). <italic>Escherichia coli</italic> are historically classified by their variation in somatic O- and flagellar H-antigens (<xref ref-type="bibr" rid="ref122">Orskov et al., 1977</xref>). Serotype O157:H7 is the dominant causative agent of STEC disease in the U.S. (<xref ref-type="bibr" rid="ref134">Riley et al., 1983</xref>; <xref ref-type="bibr" rid="ref47">Eppinger et al., 2011</xref>, <xref ref-type="bibr" rid="ref46">2013</xref>; <xref ref-type="bibr" rid="ref143">Sanjar et al., 2014</xref>; <xref ref-type="bibr" rid="ref139">Rusconi et al., 2016</xref>). However, the incidence of non-O157 infections that feature different somatic antigens has been steadily increasing in recent years (<xref ref-type="bibr" rid="ref63">Gould et al., 2013</xref>; <xref ref-type="bibr" rid="ref164">Vishram et al., 2021</xref>; <xref ref-type="bibr" rid="ref60">Glassman et al., 2022</xref>; <xref ref-type="bibr" rid="ref158">Tarr et al., 2023</xref>). Among these, emerging serogroups O26, O45, O103, O111, O121, and O145 account for the majority of clinical non-O157 STEC infections in the US and are colloquially referred to as the &#x201C;Big Six&#x201D; (<xref ref-type="bibr" rid="ref43">Eklund et al., 2001</xref>; <xref ref-type="bibr" rid="ref82">Johnson et al., 2006</xref>; <xref ref-type="bibr" rid="ref18">Bettelheim, 2007</xref>; <xref ref-type="bibr" rid="ref66">Hadler et al., 2011</xref>; <xref ref-type="bibr" rid="ref69">Hegde et al., 2012</xref>; <xref ref-type="bibr" rid="ref63">Gould et al., 2013</xref>; <xref ref-type="bibr" rid="ref164">Vishram et al., 2021</xref>). Disease in humans can progress to life-threatening complications, such as hemolytic uremic syndrome (HUS) and ultimately renal failure (<xref ref-type="bibr" rid="ref88">Karmali et al., 1983</xref>; <xref ref-type="bibr" rid="ref104">Majowicz et al., 2014</xref>). The disease has been linked to the amount and subtype of toxin produced (<xref ref-type="bibr" rid="ref40">Donohue-Rolfe et al., 2000</xref>; <xref ref-type="bibr" rid="ref140">Russo et al., 2016</xref>). STEC can harbor one or multiple Stx-bacteriophages featuring different combinations of <italic>stx</italic>-suballeles (<xref ref-type="bibr" rid="ref91">Kr&#x00FC;ger and Lucchesi, 2015</xref>; <xref ref-type="bibr" rid="ref139">Rusconi et al., 2016</xref>) that can also form hybrid toxins (<xref ref-type="bibr" rid="ref151">Skinner et al., 2014</xref>). The most potent cytopathic toxins, Stx<sub>2a</sub> and Stx<sub>2d</sub> (<xref ref-type="bibr" rid="ref56">Fuller et al., 2011</xref>; <xref ref-type="bibr" rid="ref68">Hauser et al., 2020</xref>; <xref ref-type="bibr" rid="ref106">McNichol et al., 2021</xref>), are prevalent in the Big Six serogroups (<xref ref-type="bibr" rid="ref80">Jinnerot et al., 2020</xref>), and a strain&#x2019;s Stx-status is shaped by the dynamic Stx-phage acquisition, rather than by a common evolutionary history (<xref ref-type="bibr" rid="ref32">Cowley et al., 2019</xref>; <xref ref-type="bibr" rid="ref118">Nyong et al., 2020</xref>). Mobilization of Stx-prophages is triggered by diverse abiotic and biotic cues (<xref ref-type="bibr" rid="ref123">Pacheco et al., 2012</xref>; <xref ref-type="bibr" rid="ref124">Pacheco and Sperandio, 2012</xref>), and is required to produce toxin causing adverse toxigenic effects in murine STEC models (<xref ref-type="bibr" rid="ref117">Nguyen and Sperandio, 2012</xref>; <xref ref-type="bibr" rid="ref162">Tyler et al., 2013</xref>; <xref ref-type="bibr" rid="ref13">Baumler and Sperandio, 2016</xref>; <xref ref-type="bibr" rid="ref12">Balasubramanian et al., 2019</xref>; <xref ref-type="bibr" rid="ref137">Rodr&#x00ED;guez-Rubio et al., 2021</xref>). Triggering the RecA-dependent SOS-response with sublethal doses of mitomycin C (MMC) constitutes a major pathway of Stx<sub>&#x2212;</sub>phage mobilization and is routinely used in public health laboratories to assess the pathogenic potential (<xref ref-type="bibr" rid="ref89">Kimmitt et al., 2000</xref>). Besides Stx, another major virulence determinant is the locus of enterocyte effacement (LEE) packaged into a pathogenicity island, which encodes a type III secretion system (T3SS) along with its associated effectors, the outer membrane adhesin intimin (<italic>eae</italic>) and the translocated receptor (<italic>tir</italic>; <xref ref-type="bibr" rid="ref55">Franzin and Sircili, 2015</xref>). The majority of the Big Six serogroups also carry serogroup-specific virulence plasmids along with an diverse array of additional plasmids (<xref ref-type="bibr" rid="ref24">Caprioli et al., 2005</xref>; <xref ref-type="bibr" rid="ref121">Ogura et al., 2009</xref>). In this study, we report the complete genomes and comprehensive analyses of the pathogenome composition along with Stx-production pathotypes of a Big Six reference strain panel representing each of the non-O157 STEC serogroups curated and distributed by the American Type Culture Collection (ATCC). The gathered pathogen information and recorded virulence traits provide a foundation to further elucidate the make-up and the evolutionary boundaries of these emerging non-O157 STEC.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Bacterial strains analyzed in this study</title>
<p>Panel MP-9, a representative collection of clinical emerging non-O157 STEC strains, colloquially referred to as the &#x201C;Big Six,&#x201D; was obtained from the American Type Culture Collection (ATCC).<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> Strains are of serotypes O26:H11 (BAA-2196), O45:H2 (BAA-2193), O103:H11 (BAA-2215), O111:H8 (BAA-2440), O121:H19 (BAA-2219), and O145:NM (BAA-2192). Isolates were sequenced to closure, and the culture&#x2019;s virulence was profiled in this study. Accessions for genomic reads, assembled annotated chromosomes and plasmids along with strain-associated metadata are provided in <xref ref-type="table" rid="tab1">Table 1</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Molecules and accessions.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">ATCC Strain</th>
<th align="left" valign="top">Serotype</th>
<th align="left" valign="top">Chromosome accessions</th>
<th align="left" valign="top">Plasmids</th>
<th align="left" valign="top">Plasmid accessions</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">BAA-2192</td>
<td align="left" valign="top">O145:H-</td>
<td align="left" valign="top">CP101310</td>
<td align="left" valign="top">pO145</td>
<td align="left" valign="top">CP101311</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">BAA-2440</td>
<td align="left" valign="top" rowspan="2">O111:H8</td>
<td align="left" valign="top" rowspan="2">CP101307</td>
<td align="left" valign="top">pCol156-O111-1</td>
<td align="left" valign="top">CP101308</td>
</tr>
<tr>
<td align="left" valign="top">pCol-O111-2</td>
<td align="left" valign="top">CP101309</td>
</tr>
<tr>
<td align="left" valign="top">BAA-2219</td>
<td align="left" valign="top">O121:H19</td>
<td align="left" valign="top">CP101305</td>
<td align="left" valign="top">pO121</td>
<td align="left" valign="top">CP101306</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">BAA-2193</td>
<td align="left" valign="top" rowspan="2">O45:H2</td>
<td align="left" valign="top" rowspan="2">CP101302</td>
<td align="left" valign="top">pO45-1</td>
<td align="left" valign="top">CP101303</td>
</tr>
<tr>
<td align="left" valign="top">pO45-2</td>
<td align="left" valign="top">CP101304</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">BAA-2215</td>
<td align="left" valign="top" rowspan="3">O103:H11</td>
<td align="left" valign="top" rowspan="3">CP101298</td>
<td align="left" valign="top">pO103-1</td>
<td align="left" valign="top">CP101300</td>
</tr>
<tr>
<td align="left" valign="top">pO103-2</td>
<td align="left" valign="top">CP101301</td>
</tr>
<tr>
<td align="left" valign="top">pCol-O103-3</td>
<td align="left" valign="top">CP101299</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">BAA-2196</td>
<td align="left" valign="top" rowspan="5">O26:H11</td>
<td align="left" valign="top" rowspan="5">CP101292</td>
<td align="left" valign="top">pO26-1</td>
<td align="left" valign="top">CP101295</td>
</tr>
<tr>
<td align="left" valign="top">pO26-2</td>
<td align="left" valign="top">CP101296</td>
</tr>
<tr>
<td align="left" valign="top">pCol-O26-3</td>
<td align="left" valign="top">CP101294</td>
</tr>
<tr>
<td align="left" valign="top">pO26-4</td>
<td align="left" valign="top">CP101297</td>
</tr>
<tr>
<td align="left" valign="top">pCol156-O26-5</td>
<td align="left" valign="top">CP101293</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Genome sequencing, assembly, and annotation</title>
<p>Strains were cultured overnight at 37&#x00B0;C with shaking at 220&#x2009;rpm in lysogeny broth (LB; Thermo Fisher Scientific, Asheville, NC, United States). To maximize total genomic DNA (gDNA) yields, bacterial overnight cultures were diluted to OD<sub>600</sub> of 0.03 in fresh LB medium and grown at 37&#x00B0;C with shaking at 220&#x2009;rpm to mid-log phase (OD<sub>600</sub> ~&#x2009;0.5). Total gDNA was extracted using the Qiagen Genomic-tip 100/G Kit (Qiagen, Inc., Valencia, CA, United States) according to the manufacturer&#x2019;s instructions. Genomic DNA was subjected to both long-read (Oxford Nanopore, Oxford, United Kingdom) and short-read (Illumina, Inc., San Diego, CA, United States) sequencing. For long-read Nanopore sequencing, gDNA was diluted to a concentration of 1.5&#x2009;&#x03BC;g in 46&#x2009;&#x03BC;L of nuclease-free water. The library was prepared using the Ligation Sequencing Kit (SQK-LSK109) with the Native Barcoding Expansion 1&#x2013;12 (EXP-NBD104) according to the manufacturer&#x2019;s instructions and sequenced on a MinION with the R10.3 SpotON Flow Cell (FLO-MIN111). Paired-end short-read libraries were prepared with the Illumina Nextera XT DNA Library Preparation Kit and sequenced on the MiSeq platform using the MiSeq reagent Kit (v3) with 600-cycles. Sequence reads in the fastq format were imported into Galaxy v.22.05 (<xref ref-type="bibr" rid="ref30">Community, 2022</xref>). Default parameters were used for all software unless specified otherwise. Quality control of fastq files was assessed using FastQC (v.0.74&#x2009;+&#x2009;Galaxy0).<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> Nanopore and Illumina reads were used for hybrid assembly using Unicycler assembler (v.0.5.0&#x2009;+&#x2009;Galaxy1; <xref ref-type="bibr" rid="ref165">Wick et al., 2017</xref>). The chromosomal <italic>dnaA</italic> and plasmid <italic>repA</italic> genes, if applicable, were designated as the zero point of the closed molecules prior to annotation using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP; <xref ref-type="bibr" rid="ref160">Tatusova et al., 2016</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Pathogenome make-up and visualization</title>
<p>Chromosomes and plasmids were comprehensively analyzed and visualized in Blast Ring Image Generator BRIG (v.0.95; <xref ref-type="bibr" rid="ref4">Alikhan et al., 2011</xref>) and MAUVE (v.2.4.1; <xref ref-type="bibr" rid="ref35">Darling et al., 2008</xref>, <xref ref-type="bibr" rid="ref34">2010</xref>). Serotypes in the assembled genomes were confirmed <italic>in silico</italic> using the EcOH database (<xref ref-type="bibr" rid="ref75">Ingle et al., 2016</xref>) in ABRicate (Galaxy v.1.0.1)<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> with options&#x2014;minid 80&#x2014;mincov 80 (<xref ref-type="bibr" rid="ref30">Community, 2022</xref>). Average nucleotide identities (ANI) using the <italic>E. coli</italic> strain BAA-2196 (O26:H11) chromosome as designated reference were calculated with FastANI (Galaxy v.1.3), based on MinHash mapping (<xref ref-type="bibr" rid="ref76">Jain et al., 2018</xref>). Chromosomal repeats were identified with FindRepeats (v.1.8.2&#x2009;+&#x2009;Galaxy1; <xref ref-type="bibr" rid="ref93">Kurtz et al., 2004</xref>; <xref ref-type="bibr" rid="ref127">Petkau et al., 2017</xref>). Virulence and antibiotic resistance genes (ARGs) were identified using VFDB (<xref ref-type="bibr" rid="ref101">Liu et al., 2022</xref>) and ResFinder<xref ref-type="fn" rid="fn0004"><sup>4</sup></xref> (<xref ref-type="bibr" rid="ref50">Florensa et al., 2022</xref>), respectively. Boundaries and locations of intact, partial, or remnant prophages were identified using PHASTER (<xref ref-type="bibr" rid="ref176">Zhou et al., 2011</xref>; <xref ref-type="bibr" rid="ref8">Arndt et al., 2016</xref>) and MAUVE (v.2.4.1; <xref ref-type="bibr" rid="ref35">Darling et al., 2008</xref>, <xref ref-type="bibr" rid="ref34">2010</xref>), followed by manual curation with BLASTn/p against the non-redundant NCBI databases (<xref ref-type="bibr" rid="ref23">Camacho et al., 2009</xref>). Toxin subtypes of the carried Stx-bacteriophages were recorded <italic>in silico</italic> as described elsewhere by blastn of the carried toxins against an <italic>stx</italic> suballele database (<xref ref-type="bibr" rid="ref144">Scheutz et al., 2012</xref>; <xref ref-type="bibr" rid="ref9">Ashton et al., 2015</xref>; <xref ref-type="bibr" rid="ref26">Carrillo et al., 2016</xref>). The EHEC phage replication unit (<italic>eru</italic>) subtype was assigned as described in <xref ref-type="bibr" rid="ref102">Llarena et al. (2021)</xref> and <xref ref-type="bibr" rid="ref48">Fagerlund et al. (2022)</xref> and Stx-prophages genomes were visualized in Easyfig (v.2.2.2; <xref ref-type="bibr" rid="ref157">Sullivan et al., 2011</xref>). Mechanistics of phage insertion can create direct repeats (DR) and insertion sites were investigated for direct repeats (DR) and attachments sites (<italic>att</italic>) using NUCmer (v.4.0.0rc1&#x2009;+&#x2009;Galaxy2) and BLASTn (<xref ref-type="bibr" rid="ref23">Camacho et al., 2009</xref>). Lytic phage loci in &#x03A6;Stx- and non-&#x03A6;Stx-prophages were identified with Prophage Hunter (<xref ref-type="bibr" rid="ref153">Song et al., 2019</xref>). Insertion sequence (IS) elements were identified and curated using ISEScan (v.1.7.2.3&#x2009;+&#x2009;Galaxy0; <xref ref-type="bibr" rid="ref167">Xie and Tang, 2017</xref>). Integrons were surveyed with Integron Finder (v.2.0.2&#x2009;+&#x2009;Galaxy1; <xref ref-type="bibr" rid="ref116">N&#x00E9;ron et al., 2022</xref>). Genomic islands (GI) were detected with IslandViewer4 (<xref ref-type="bibr" rid="ref16">Bertelli et al., 2017</xref>, <xref ref-type="bibr" rid="ref17">2018</xref>; <xref ref-type="bibr" rid="ref15">Bertelli and Brinkman, 2018</xref>). Plasmid incompatibility groups were identified and analyzed with MOB-Typer (v.3.0.3&#x2009;+&#x2009;Galaxy0; <xref ref-type="bibr" rid="ref135">Robertson and Nash, 2018</xref>).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Shiga toxin and intimin subtyping</title>
<p>For toxin subtyping, the <italic>stx</italic> genes were aligned to a multifasta file comprised of all currently published <italic>stx</italic>-suballele nucleotide sequences (<xref ref-type="bibr" rid="ref144">Scheutz et al., 2012</xref>; <xref ref-type="bibr" rid="ref26">Carrillo et al., 2016</xref>; <xref ref-type="bibr" rid="ref11">Bai et al., 2018</xref>; <xref ref-type="bibr" rid="ref169">Yang et al., 2020</xref>) with BLASTn (<xref ref-type="bibr" rid="ref23">Camacho et al., 2009</xref>). Heatmaps of cataloged genes were generated with iTol (v.6.8.1; <xref ref-type="bibr" rid="ref98">Letunic and Bork, 2021</xref>). LEE islands were identified starting from the LEE1 operon gene <italic>espG</italic> to the <italic>espF</italic> gene in LEE4, and their comparative analysis was conducted and visualized using GeneSpy (<xref ref-type="bibr" rid="ref59">Garcia et al., 2019</xref>). We determined the subtypes by aligning the intimin genes to the 27 currently published subtype sequences of <italic>eae</italic> in GenBank (&#x03B1;1-2, &#x03B2;1-3, &#x03B3;, &#x03B4;, &#x03B5;1-4, &#x03B6;1 and 3, &#x03B7;1-2, &#x03B8;1-2, &#x03B9;1-2, &#x03BA;, &#x03BC;, &#x03BD;, &#x03BE;, &#x03BF;, &#x03C0;, &#x03C1;, &#x03C3;; <xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>) using BLASTn (<xref ref-type="bibr" rid="ref23">Camacho et al., 2009</xref>).</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>MLST schemas and phylogenetic analyses</title>
<p>The assembled ATCC MP-9 genomes along with <italic>E. coli</italic> strains EC4115 (O157:H7; <xref ref-type="bibr" rid="ref47">Eppinger et al., 2011</xref>) and K-12 substrain MG1655 (<xref ref-type="bibr" rid="ref20">Blattner et al., 1997</xref>) were imported into SeqSphere+ (v.8.3; Ridom GmbH, M&#x00FC;nster, Germany) for gene-by-gene alignment, allele calling, and comparison (<xref ref-type="bibr" rid="ref85">J&#x00FC;nemann et al., 2013</xref>). MLST typing was performed using targeted and whole genome schemas developed for <italic>E. coli</italic> (<xref ref-type="bibr" rid="ref51">Foley et al., 2009</xref>; <xref ref-type="bibr" rid="ref175">Zhou et al., 2020</xref>). We determined the Sequence Type (ST) by applying the 7-gene ST Achtman schema (<xref ref-type="bibr" rid="ref175">Zhou et al., 2020</xref>). Allele sequences for the 7 genes (<italic>adk</italic>, <italic>fumC</italic>, <italic>gyrB</italic>, <italic>icd</italic>, <italic>mdh</italic>, <italic>purA</italic>, and <italic>recA</italic>) were accessed on the EnteroBase website<xref ref-type="fn" rid="fn0005"><sup>5</sup></xref> and imported into Ridom SeqSphere+. A core genome (cg) MLST schema was developed using the closed chromosome of K-12 substrain MG1655 (GenBank accession U00096; <xref ref-type="bibr" rid="ref133">Riley et al., 2006</xref>) as seed as previously described (<xref ref-type="bibr" rid="ref39">D&#x00ED;az et al., 2021</xref>). Core and accessory MLST targets were identified according to the inclusion/exclusion criteria of the SeqSphere+ Target Definer. The allele information from the targeted seven-gene schema and the defined core genome gene of the panel strains were used to establish phylogenetic hypotheses using the minimum-spanning method (<xref ref-type="bibr" rid="ref92">Kruskal, 1956</xref>; <xref ref-type="bibr" rid="ref53">Francisco et al., 2009</xref>) with default settings in Ridom SeqSphere+ (v.8.3).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Growth of cultures in LB and under phage mobilizing condition in LB&#x2009;+&#x2009;MMC</title>
<p>Strains were cultured overnight (o/n) at 37&#x00B0;C with shaking at 220&#x2009;rpm in LB. Overnight LB cultures were diluted to an OD<sub>600</sub> of 0.03 in fresh LB media, grown to early-log phase (OD<sub>600</sub>~0.3) at 37&#x00B0;C, and then subdivided into two subcultures, LB and LB&#x2009;+&#x2009;MMC. Triggering the RecA-dependent SOS-response with MMC constitutes a major pathway of Stx<sub>&#x2212;</sub>phage mobilization (<xref ref-type="bibr" rid="ref89">Kimmitt et al., 2000</xref>). Subculture LB&#x2009;+&#x2009;MMC was supplemented with MMC (Sigma-Aldrich, Saint Louis, MO, United States) at a final concentration of 0.5&#x2009;&#x03BC;g/mL to mobilize the carried prophages, while subculture LB was used to evaluate spontaneous prophage mobilization. To confirm phage mobilization in MMC-treated cultures, growth curves were recorded in a 96-well plate (Corning 3,370, Corning Inc., Corning, NY, United States) on a BioTek Synergy H1 plate reader (BioTek Instruments, Inc., Winooski, VT, United States) recording OD<sub>600</sub> values for 6&#x2009;h at 10&#x2009;min intervals. All experiments were executed in two biological replicates.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Virulence phenotypes</title>
<sec id="sec10">
<label>2.7.1</label>
<title>PCR experiments</title>
<p>Primers and PCR-conditions are provided in <xref rid="SM3" ref-type="supplementary-material">Supplementary Table S3</xref>. LB and LB&#x2009;+&#x2009;MMC subcultures were grown for 6&#x2009;h at 37&#x00B0;C with shaking at 220&#x2009;rpm and then centrifuged at 5,000&#x2009;g for 10&#x2009;min: (1) Cell pellets were used to determine <italic>stx</italic>-transcripts levels, while (2) the supernatants were used to enumerate &#x03A6;Stx-phage copies, targeting the phage-borne <italic>stx</italic> loci as follows: (1) Expression of <italic>stx</italic> genes RNA was purified using the PureLink RNA Mini kit (Invitrogen, Waltham, MA, United States), and RNA quantity and quality were measured with the NanoDrop ND-1000 Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, United States). Total RNA was treated with amplification grade DNase I (Invitrogen, Waltham, MA, United States), and reverse transcribed using the RevertAid H Minus First Strand cDNA Synthesis Kit (Thermo Fisher Scientific, Waltham, MA, United States). The <italic>stx</italic>-RT-qPCR was performed on the StepOne Real-Time PCR System (Applied Biosystems, Foster City, CA, United States) using the GoTaq qPCR Master Mix (Promega, Madison, WI, United States). (2) Enumeration of &#x03A6;Stx<sub>1</sub>- and &#x03A6;Stx<sub>2</sub>-phage copies Supernatants were filtered through low-protein-binding 0.22-&#x03BC;m-pore-size membrane filters (Millex-GP; Merck Millipore Ltd., Burlington, MA, United States), followed by DNase I (Invitrogen, Waltham, MA, United States) treatment for 15&#x2009;min to remove bacterial gDNA. Lysate phage DNA was isolated using the QIAamp DNA Mini Kit (Qiagen Inc., Valencia, CA, United States), and eluted with 50 &#x03BC;L nuclease-free water. Phage numbers were determined by <italic>stx</italic>-qPCR on the StepOne Real-Time PCR System (Applied Biosystems, Foster City, CA, United States) using the GoTaq qPCR Master Mix (Promega, Madison, WI, United States). Standard curves for the <italic>stx</italic> transcripts and &#x03A6;Stx-phage copy numbers were calculated using gBlocks (Integrated DNA Technologies (IDT), Coralville, Iowa, United States) in the RT-qPCR and qPCR experiments, respectively.</p>
</sec>
<sec id="sec11">
<label>2.7.2</label>
<title>Stx-production pathotypes</title>
<p>The Stx-production phenotypes of the cultures were determined by recording the Stx titers through Enzyme-Linked ImmunoSorbent Assay (ELISA) under both spontaneous and MMC-induced conditions. Overnight (o/n) cultures were diluted to an OD<sub>600</sub> of 0.03 and grown to early-log phase (OD<sub>600</sub>~0.3) in replenished LB media at 37&#x00B0;C. At this stage, cultures were split and incubated at 37&#x00B0;C for 6&#x2009;h under non-induced and induced (0.5&#x2009;&#x03BC;g/mL MMC) conditions. Toxin production was measured after harvesting 5&#x2009;mL of each culture for parallel processing. To lyse bacterial cells and release produced Stx, cultures were treated with polymyxin B (Sigma-Aldrich, Saint Louis, MO, United States; 6&#x2009;mg/mL 37&#x00B0;C, 10&#x2009;min). Supernatants were collected after centrifugation (3,500&#x2009;rpm, 10&#x2009;min), filtered through 0.22&#x2009;&#x03BC;m low protein-binding membrane filters (Millex-GP; Merck Millipore Ltd., Burlington, MA, United States) and diluted to measurable concentrations. Stx-production was measured using the Premier EHEC kit (Meridian Bioscience, Cincinnati, OH, United States) following the manufacturer&#x2019;s instructions. Titers were calculated using a standard curve generated from serial dilutions of purified Stx<sub>2a</sub> (BEI Resources, NR-4478). Statistical significance was determined using Prism (v.9.5.0; GraphPad Software, San Diego, CA, United States). A two-way ANOVA with Sidak&#x2019;s multiple comparisons test was used to compare non-induced to MMC-induced conditions for each strain. Strain-to-strain comparisons were performed with a one-way ANOVA with Tukey&#x2019;s multiple comparisons test assessing each condition.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Pathogenome composition of MP-9 panel strains</title>
<p>In this study, we sequenced and comprehensively analyzed the pathogenomes and virulence traits of six non-O157 STEC strains. Strain panel MP-9 was obtained from ATCC, which is comprised of six strains representing each of the non-O157 STEC serogroups, colloquially referred to as the &#x201C;Big Six&#x201D; (<xref ref-type="bibr" rid="ref43">Eklund et al., 2001</xref>; <xref ref-type="bibr" rid="ref82">Johnson et al., 2006</xref>; <xref ref-type="bibr" rid="ref18">Bettelheim, 2007</xref>; <xref ref-type="bibr" rid="ref66">Hadler et al., 2011</xref>; <xref ref-type="bibr" rid="ref69">Hegde et al., 2012</xref>; <xref ref-type="bibr" rid="ref63">Gould et al., 2013</xref>; <xref ref-type="bibr" rid="ref164">Vishram et al., 2021</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>). STEC genomes house an extensive and partly repetitive phage complement that hampers assembly into closed genomes (<xref ref-type="bibr" rid="ref61">Goldstein et al., 2019</xref>; <xref ref-type="bibr" rid="ref78">Jaudou et al., 2022</xref>). In response, we applied a long- and short read sequencing hybrid strategy (<xref ref-type="bibr" rid="ref118">Nyong et al., 2020</xref>; <xref ref-type="bibr" rid="ref5">Allu&#x00E9;-Guardia et al., 2022</xref>) that allowed us to provide the high-quality closed genomes, including carried plasmids (<xref ref-type="fig" rid="fig1">Figures 1</xref>, <xref ref-type="fig" rid="fig2">2</xref>; <xref rid="SM7" ref-type="supplementary-material">Supplementary Figures S1</xref>, <xref rid="SM8" ref-type="supplementary-material">S2</xref>). The chromosomes have an average nucleotide identity of 98.8%, with a range from 97.6% to 99.8%, indicative of the substantial conserved chromosomal backbone of <italic>E. coli</italic> (<xref ref-type="bibr" rid="ref131">Rasko et al., 2008</xref>; <xref ref-type="bibr" rid="ref76">Jain et al., 2018</xref>). The chromosome size in this panel ranges from 5,288,508 to 5,840,137&#x2009;bp with an average GC-content of 50.65%. When compared to non-pathogenic <italic>E. coli</italic> strain K-12 substrain MG1665, these STEC strains carry at least 648,833&#x2009;bp of additional genetic information. Genome statistics along with strain-associated metadata are provided in <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>. In <xref ref-type="fig" rid="fig1">Figure 1</xref>, we compared the chromosomes using strain BAA-2196 (O26:H11) as the designated reference. In comparison to <italic>E. coli</italic> strain K-12, the Big Six strains acquired multiple mobile genome elements (MGE), including the hallmark &#x03A6;Stx-prophages, which are major contributors of STEC genome evolution and diversification (<xref ref-type="bibr" rid="ref95">Lawrence and Ochman, 1998</xref>; <xref ref-type="bibr" rid="ref131">Rasko et al., 2008</xref>; <xref ref-type="bibr" rid="ref136">Robins-Browne et al., 2016</xref>). Individual comparisons referenced to each of the strains can be found in <xref rid="SM7" ref-type="supplementary-material">Supplementary Figure S1</xref>. The mobilome on the chromosomes consisting of prophages, genomic islands, and IS elements contributes 22.4% to 28.7% of sequence information, in line with the assessment in other STEC (<xref ref-type="bibr" rid="ref126">Perna et al., 2001</xref>; <xref ref-type="bibr" rid="ref38">Delannoy et al., 2017</xref>; <xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>). Neither chromosomal nor plasmid-borne integrons were detected. The prophages account for 13.9 to 21.2% of the chromosome, followed by genomic islands (5.4 to 6.9%), and IS elements (0.8 to 2.5%). If plasmid-carried IS elements are considered, the percentage of IS elements increases by 1.2 to 2.7%. The IS elements in this panel showed variations in both prevalence and numbers (<xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>). ISEScan detected 726 IS elements and categorized them into 16 known families and 40 clusters, indicative of the plasticity present in these non-O157 STEC (<xref rid="SM9" ref-type="supplementary-material">Supplementary Figure S3</xref>). Eight of the 40 clusters were present in the six isolates, though their respective numbers between the strains vary considerably. We further note that BAA-2196 (O26:H11) and BAA-2215 (O103:H11) strains feature similar copy numbers in shared IS clusters distinct from the remainder of strains indicative of their close relationship (<xref ref-type="bibr" rid="ref73">Iguchi et al., 2012</xref>; <xref ref-type="bibr" rid="ref84">Ju et al., 2012</xref>; <xref rid="SM9" ref-type="supplementary-material">Supplementary Figure S3</xref>; <xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>). Thirteen elements of the IS<italic>3-168</italic> cluster were found in each of BAA-2196 (O26:H11) and BAA-2215 (O103:H11), compared to an average of 55 copies in other strains. Inversely, the IS<italic>66-46</italic> cluster was found to have 48 and 36 copies in BAA-2196 and BAA-2215, respectively, while other strains carry an average of eight copies. Further, eight clusters are strain-specific, and 24 clusters are present in a subset of strains. This may suggest different dynamics in the propagation of these elements.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Comparison of ATCC MP-9 panel genomes BRIG comparison of six sequenced strains, along with <italic>Escherichia coli</italic> strains O157:H7 EC4115 and strain K-12 substrain MG1665, referenced to the 5,840,137&#x2009;bp chromosome of BAA-2196 (O26:H11). CDS are presented on the +/&#x2212;strands as blue arrows and functional annotations for virulence genes and other loci of interest are highlighted as shown in the legend. Query genomes are color-coded, and the order plotted in the circle reflects the inferred phylogenomic relationships.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Comparison of a shared colicin plasmid BRIG comparison of a shared colicinogenic plasmid l present in serotypes O26:H11, O103:H11, and O111:H8 and referenced to the 6,673&#x2009;bp plasmids of BAA-2196 pCol-O26-3. The plasmids are differentiated by a total of 30 SNPs and InDels. CDS are presented on the +/&#x2212; strands as blue arrows. Query plasmids are plotted according to the strain&#x2019;s inferred phylogenomic relationships.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g002.tif"/>
</fig>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Phylogenomic relatedness of ATCC MP-9 strains</title>
<p>The mobilome is comprised of prophages, genomic islands, IS elements, and plasmids, which evolve at different rates and can be acquired and secondarily lost and thus are often not indicative of evolutionary relationships. To investigate the phylogenomic boundaries of the individual strains, we established a phylogenomic framework inferred from targeted MLST and core genome MLST (cgMLST; <xref ref-type="fig" rid="fig3">Figure 3</xref>). As expected for this heterogenous set of serotypes, the strains belong to distinct STs with a total of 14,340 allelic changes and 926 InDels (<xref ref-type="fig" rid="fig3">Figure 3</xref>; <xref rid="SM5" ref-type="supplementary-material">Supplementary Table S5</xref>). Their shared inventory was computed at 4,304 genes comprised of 3,148 core and 908 accessory loci, indicative of the extended conserved <italic>E. coli</italic> backbone (<xref ref-type="bibr" rid="ref1">Abu-Ali et al., 2009</xref>; <xref ref-type="bibr" rid="ref99">Lim et al., 2010</xref>; <xref ref-type="bibr" rid="ref47">Eppinger et al., 2011</xref>; <xref ref-type="bibr" rid="ref172">Yin et al., 2015</xref>). High-resolution core genome MLST typing revealed a close phylogenetic relationship of serogroup O26:H11 and O103:H11 strains, as previously suggested by MLST- and genome-wide single nucleotide polymorphisms (SNPs)-based analyses for these serogroups carrying flagellar antigens H2 and H11 (<xref ref-type="bibr" rid="ref73">Iguchi et al., 2012</xref>; <xref ref-type="bibr" rid="ref84">Ju et al., 2012</xref>). ST-21 (BAA-2196 O26:H11) and ST-723 (BAA2215 O103:H11) are only separated in their <italic>fumC</italic> allele and 357 allelic changes in the cgMLST analysis (<xref ref-type="fig" rid="fig3">Figure 3</xref>). This intimate relationship is reflected in the isolates&#x2019; shared chromosomal and mobilome inventories, such as virulence genes, prophages, and LEE island organization, as discussed below.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Phylogenomic position of ATCC-MP9 strains The relatedness of panel strains, including O157:H7 strain EC4115, was determined using MLST in Ridom SeqSphere+: <bold>(A)</bold> targeted seven-gene MLST accessed in EnteroBase. Numbers on connecting branches indicate the number of genes with differing allele status, and <bold>(B)</bold> cgMLST-based phylogeny using the closed chromosome of <italic>E. coli</italic> strain K12 subst. MG1655 as seed. The shared gene inventory was determined at 4,304 genes, according to the inclusion/exclusion criteria of the SeqSphere+ Target Definer and is comprised of 3,148 core and 908 accessory loci. Colors denote ST-classifications established in <bold>(A)</bold>.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g003.tif"/>
</fig>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>Comprehensive analyses of plasmid content and function</title>
<p>The hybrid-sequencing strategy further identified 14 functionally and phylogenetically diverse plasmids that range in size from 5,176 to 93,980&#x2009;bp and belong to four incompatibility groups (<xref rid="SM8" ref-type="supplementary-material">Supplementary Figure S2</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>). STEC often carry plasmids that contribute diverse virulence determinants (<xref ref-type="bibr" rid="ref86">Kaper et al., 2004</xref>; <xref ref-type="bibr" rid="ref128">Pilla and Tang, 2018</xref>). Virulence plasmids coding for hemolysin (<italic>hlyCABD</italic>), adhesin (<italic>toxB</italic>), and serine protease (<italic>espP</italic>) were found in all strains, except in strain BAA-2440 O111:H8 (<xref ref-type="bibr" rid="ref159">Tatsuno et al., 2001</xref>; <xref ref-type="bibr" rid="ref86">Kaper et al., 2004</xref>; <xref ref-type="bibr" rid="ref24">Caprioli et al., 2005</xref>; <xref ref-type="bibr" rid="ref161">Tozzoli et al., 2005</xref>; <xref ref-type="bibr" rid="ref81">Johnson and Nolan, 2009</xref>; <xref ref-type="fig" rid="fig4">Figure 4</xref>). Colicins are synthesized to gain an advantage in the shared niche and are toxic to other bacterial strains (<xref ref-type="bibr" rid="ref27">Cascales et al., 2007</xref>). Three strains, BAA-2440, BAA-2196, and BAA-2215, contained colicinogenic plasmids. Strain BAA-2440 O111:H8 codes for colicins E3 and D on plasmids pCol156-O111-1 and pCol-O111-2, respectively. The latter is phylogenetically related to plasmids pCol-O26-3 and pCol-O111-2 exhibiting a highly conserved plasmid backbone differentiated from each other by 30 SNPs and InDels (<xref ref-type="fig" rid="fig2">Figure 2</xref>). A Blastn query against the NCBI non-redundant database found related plasmids in Big Six serogroups O26, O103, and O111, and STEC serogroups O104, O157, and O165, among others, as shown in <xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref> (<xref ref-type="bibr" rid="ref121">Ogura et al., 2009</xref>; <xref ref-type="bibr" rid="ref168">Yan et al., 2015</xref>; <xref ref-type="bibr" rid="ref147">Sekizuka et al., 2019</xref>; <xref ref-type="bibr" rid="ref6">Amadio et al., 2021</xref>). Strain BAA-2196 O26:H11 carries plasmid pO26-4, which is a multidrug-resistant plasmid encoding three ARGs (<italic>sul2</italic>, <italic>aph(6)-Ib</italic>, and <italic>aph(3&#x2033;)-Ib</italic>) conferring resistance to sulfonamide and aminoglycosides (<xref ref-type="bibr" rid="ref67">Hammerum et al., 2006</xref>; <xref ref-type="bibr" rid="ref14">Bean et al., 2009</xref>; <xref ref-type="bibr" rid="ref108">Messele et al., 2022</xref>; <xref rid="SM8" ref-type="supplementary-material">Supplementary Figure S2A</xref>; <xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>). This broad host range plasmid shares high nucleotide similarity (&#x003E;99%) and coverage (&#x003E;99%) to plasmids found in <italic>E. coli</italic>, <italic>Shigella</italic> sp., <italic>Citrobacter freundii</italic> and <italic>Klebsiella pneumoniae</italic> (<xref ref-type="bibr" rid="ref74">Iguchi et al., 2009</xref>; <xref ref-type="bibr" rid="ref171">Ye et al., 2010</xref>; <xref ref-type="bibr" rid="ref94">Kyle et al., 2012</xref>; <xref ref-type="bibr" rid="ref100">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="ref2">AbuOun et al., 2021</xref>; <xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Prevalence and distribution of plasmid-borne virulence determinants Percentage identities of virulence and antimicrobial resistance genes identified in VFDB and ResFinder are visualized in a heatmap. The Plasmid incompatibility group and predicted mobility were determined with MobTyper. The shared colicinogenic plasmid pCol present in the serotype O26:H11, O103:H11, and O111:H8 strains is indicated with a star.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g004.tif"/>
</fig>
</sec>
<sec id="sec16">
<label>3.4</label>
<title>Comprehensive analyses of virulence determinants and Stx-status</title>
<p>The prevalence of the identified chromosomal and phage- and plasmid-borne virulence genes revealed a considerable plasticity in the individual virulence complement. We surveyed chromosomes for virulence and resistance loci and analyzed their prevalence and distribution (<xref ref-type="fig" rid="fig5">Figure 5</xref>; <xref rid="SM6" ref-type="supplementary-material">Supplementary Table S6</xref>). In total, we identified 149 chromosomal virulence genes of which 113 are shared by all strains (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The latter includes the phage-borne <italic>stx</italic>, along with genes that make up the LEE including its effectors (<xref ref-type="bibr" rid="ref111">Moon et al., 1983</xref>; <xref ref-type="bibr" rid="ref107">Mellies et al., 1999</xref>; <xref ref-type="bibr" rid="ref83">Jores et al., 2004</xref>; <xref ref-type="bibr" rid="ref86">Kaper et al., 2004</xref>; <xref ref-type="bibr" rid="ref141">Sadiq et al., 2014</xref>; <xref ref-type="bibr" rid="ref55">Franzin and Sircili, 2015</xref>). The strains feature four distinct siderophore types that facilitate iron acquisition in the iron limiting condition of mammalian hosts (<xref ref-type="bibr" rid="ref132">Ratledge and Dover, 2000</xref>; <xref ref-type="bibr" rid="ref150">Skaar, 2010</xref>; <xref ref-type="bibr" rid="ref29">Caza and Kronstad, 2013</xref>; <xref ref-type="bibr" rid="ref149">Sheldon et al., 2016</xref>). All strains possess enterobactin (<italic>ent</italic>), widely distributed in <italic>E. coli</italic> (<xref ref-type="bibr" rid="ref33">Cox et al., 1970</xref>; <xref ref-type="bibr" rid="ref58">Garcia et al., 2011</xref>; <xref ref-type="bibr" rid="ref109">Mey et al., 2021</xref>). Yersiniabactin (<italic>ybt</italic>) and hydroxamate aerobactin (<italic>iuc</italic>) are present in the phylogenetically related strains BAA-2196 (O26:H11) and BAA-2215 (O103:H11; <xref ref-type="bibr" rid="ref73">Iguchi et al., 2012</xref>; <xref ref-type="bibr" rid="ref84">Ju et al., 2012</xref>; <xref ref-type="fig" rid="fig3">Figure 3</xref>). Hydroxamate aerobactin is also found in strains BAA-2440 (O111:H8) and BAA-2192 (O145:NM), and the heme utilization operon (<italic>chu</italic>) in BAA-2192 (O145:NM; <xref ref-type="fig" rid="fig5">Figure 5</xref>). We note here that siderophores such as <italic>ybt</italic> and <italic>chu</italic> have been proposed biomarkers for serotypes O26, O157, and O145 (<xref ref-type="bibr" rid="ref125">Pasquali et al., 2018</xref>; <xref ref-type="bibr" rid="ref77">Jarocki et al., 2019</xref>; <xref ref-type="bibr" rid="ref25">Carbonari et al., 2022</xref>). Antimicrobial-resistant STEC, though uncommon, have been isolated from humans, animals, and food (<xref ref-type="bibr" rid="ref47">Eppinger et al., 2011</xref>; <xref ref-type="bibr" rid="ref7">Am&#x00E9;zquita-L&#x00F3;pez et al., 2016</xref>; <xref ref-type="bibr" rid="ref114">Mukherjee et al., 2017</xref>; <xref ref-type="bibr" rid="ref64">Greig et al., 2023</xref>; <xref ref-type="bibr" rid="ref96">Lee et al., 2023</xref>). The ATCC MP-9 strains do not carry any chromosomal antimicrobial resistance loci other than the efflux pump gene <italic>mdf(A)</italic> (<xref ref-type="bibr" rid="ref42">Edgar and Bibi, 1997</xref>), found in most <italic>E. coli</italic> (<xref ref-type="bibr" rid="ref3">Ahmed et al., 2020</xref>; <xref ref-type="bibr" rid="ref112">Moser et al., 2021</xref>; <xref ref-type="bibr" rid="ref177">Zhou et al., 2022</xref>; <xref ref-type="bibr" rid="ref10">Awosile et al., 2023</xref>; <xref ref-type="bibr" rid="ref96">Lee et al., 2023</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Prevalence and distribution of chromosomal virulence determinants Percentage identities for each virulence gene identified in VFDB are visualized in a heatmap. The panel strains encode a total of 149 distinct virulence genes of which 113 are shared. Among these are toxin suballeles <italic>stx<sub>1a</sub></italic>, <italic>stx<sub>2a</sub></italic>, and <italic>stx<sub>2d</sub></italic>, the LEE genomic island, and siderophores, among others. The strain order reflects the inferred phylogenomic relationships. The hierarchical clustering of virulence genes based on their pair-wise distance is shown on the left.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g005.tif"/>
</fig>
</sec>
<sec id="sec17">
<label>3.5</label>
<title>Comprehensive analysis of Stx-phages</title>
<p>Carriage of &#x03A6;Stx-prophages is a virulence hallmark of STEC; and genomes can contain multiple &#x03A6;Stx-prophages in diverse <italic>stx</italic>-suballele combinations (<xref ref-type="bibr" rid="ref72">Huang et al., 1987</xref>; <xref ref-type="bibr" rid="ref47">Eppinger et al., 2011</xref>; <xref ref-type="bibr" rid="ref91">Kr&#x00FC;ger and Lucchesi, 2015</xref>; <xref ref-type="bibr" rid="ref139">Rusconi et al., 2016</xref>; <xref ref-type="bibr" rid="ref5">Allu&#x00E9;-Guardia et al., 2022</xref>). Stx is a key virulence factor responsible for the severe symptoms associated with STEC infections such as HUS (<xref ref-type="bibr" rid="ref88">Karmali et al., 1983</xref>). The panel strains carry either one or two &#x03A6;Stx-prophages featuring suballeles <italic>stx<sub>1a</sub></italic>, <italic>stx<sub>2a</sub></italic>, and <italic>stx<sub>2d</sub></italic> (<xref ref-type="fig" rid="fig5">Figures 5</xref>, <xref ref-type="fig" rid="fig6">6</xref>). Two suballeles have been associated with elevated cytotoxicity, <italic>stx<sub>2a</sub></italic> (<xref ref-type="bibr" rid="ref56">Fuller et al., 2011</xref>; <xref ref-type="bibr" rid="ref68">Hauser et al., 2020</xref>; <xref ref-type="bibr" rid="ref129">Pinto et al., 2021</xref>) and <italic>stx<sub>2d</sub></italic> (<xref ref-type="bibr" rid="ref106">McNichol et al., 2021</xref>). Suballele <italic>stx<sub>2a</sub></italic> was found alone (BAA-2219 O121:H19) or in combination with <italic>stx<sub>1a</sub></italic> (BAA-2196 O26:H11, BAA-2440 O111:H8). Two strains carry <italic>stx<sub>1a</sub></italic> only (BAA-2215 O103:H11, BAA-2193 O45:H2), or in combination with <italic>stx<sub>2d</sub></italic> (BAA-2192 O145:NM). As evident in the comparison of the individual subtypes (<xref ref-type="fig" rid="fig6">Figure 6</xref>), the prophages show a high degree of genomic plasticity, in particular upstream of the toxin locus, important for regulation and replication (<xref ref-type="bibr" rid="ref163">Unkmeir and Schmidt, 2000</xref>; <xref ref-type="bibr" rid="ref172">Yin et al., 2015</xref>). Variability in these regions has been linked to strain-level differences in Stx-production (<xref ref-type="bibr" rid="ref71">Herold et al., 2004</xref>; <xref ref-type="bibr" rid="ref152">Smith et al., 2014</xref>; <xref ref-type="bibr" rid="ref120">Ogura et al., 2015</xref>; <xref ref-type="bibr" rid="ref172">Yin et al., 2015</xref>; <xref ref-type="bibr" rid="ref102">Llarena et al., 2021</xref>; <xref ref-type="bibr" rid="ref137">Rodr&#x00ED;guez-Rubio et al., 2021</xref>; <xref ref-type="bibr" rid="ref48">Fagerlund et al., 2022</xref>; <xref ref-type="bibr" rid="ref174">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="ref170">Yano et al., 2023</xref>). In total, seven chromosomal sites are occupied (<xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>), some of which are known &#x03A6;Stx-phage targets (<xref ref-type="bibr" rid="ref148">Serra-Moreno et al., 2007</xref>; <xref ref-type="bibr" rid="ref47">Eppinger et al., 2011</xref>; <xref ref-type="bibr" rid="ref21">Bonanno et al., 2015</xref>; <xref ref-type="bibr" rid="ref139">Rusconi et al., 2016</xref>; <xref ref-type="bibr" rid="ref5">Allu&#x00E9;-Guardia et al., 2022</xref>). The &#x03A6;Stx-phage integrases have undergone evolution that allows them to target distinct insertion sites. Stx-phages tend to primarily integrate at a specific site; however, the integrase demonstrates the capacity to detect alternate insertion sites for integration if the preferred site is already occupied or absent (<xref ref-type="bibr" rid="ref65">Groth and Calos, 2004</xref>; <xref ref-type="bibr" rid="ref148">Serra-Moreno et al., 2007</xref>; <xref ref-type="bibr" rid="ref28">Casjens and Hendrix, 2015</xref>; <xref ref-type="bibr" rid="ref70">Henderson et al., 2021</xref>). &#x03A6;Stx<sub>2a</sub> phages are inserted into either arginine tRNA <italic>argW</italic> or NAD(P) H dehydrogenase <italic>wrbA</italic>, and the &#x03A6;Stx<sub>1a</sub> phage, in analogy to some &#x03A6;Stx<sub>2a</sub> in <italic>wrbA</italic>, or alternatively in peptide chain release factor <italic>prfC</italic>, outer membrane protein <italic>ompW</italic>, the tRNA-dihydrouridine synthase <italic>dusA</italic>, or tmRNA <italic>ssrA</italic>, while the &#x03A6;Stx<sub>2d</sub> phage is disrupting the spermidine uptake gene <italic>potC</italic> (<xref ref-type="fig" rid="fig6">Figure 6</xref>). As evident in the occupation status of <italic>wrbA</italic> by either &#x03A6;Stx<sub>1</sub> or &#x03A6;Stx<sub>2</sub>, there is no association between toxin suballele and insertion sites in line with previous observation (<xref ref-type="bibr" rid="ref65">Groth and Calos, 2004</xref>; <xref ref-type="bibr" rid="ref148">Serra-Moreno et al., 2007</xref>; <xref ref-type="bibr" rid="ref156">Steyert et al., 2012</xref>; <xref ref-type="bibr" rid="ref70">Henderson et al., 2021</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>Comparison of Stx-prophages BLASTn-based comparison of architectures and content of carried &#x03A6;Stx<sub>2a</sub>-, &#x03A6;Stx<sub>1a</sub>-, and &#x03A6;Stx<sub>2d</sub>-prophages. For uniform annotation, we inferred the annotation from the curated &#x03A6;Stx<sub>2a</sub>-prophage genome of strain BAA-2196 (O26:H11).</p></caption>
<graphic xlink:href="fmicb-15-1364026-g006.tif"/>
</fig>
</sec>
<sec id="sec18">
<label>3.6</label>
<title>Comprehensive analyses of the locus of enterocyte effacement</title>
<p>Carriage of the LEE pathogenicity island is responsible for the development of the characteristic attaching and effacing (A/E) lesions (<xref ref-type="bibr" rid="ref79">Jerse et al., 1990</xref>; <xref ref-type="bibr" rid="ref105">McDaniel et al., 1995</xref>; <xref ref-type="bibr" rid="ref154">Sperandio et al., 1998</xref>; <xref ref-type="bibr" rid="ref145">Schmidt, 2010</xref>; <xref ref-type="bibr" rid="ref155">Stevens and Frankel, 2014</xref>; <xref ref-type="bibr" rid="ref55">Franzin and Sircili, 2015</xref>). It is organized into polycistronic operons, LEE1 to 5, encoding T3SS components and regulators, chaperones, and effectors (<xref ref-type="bibr" rid="ref79">Jerse et al., 1990</xref>; <xref ref-type="bibr" rid="ref107">Mellies et al., 1999</xref>; <xref ref-type="bibr" rid="ref90">Kirsch et al., 2004</xref>; <xref ref-type="bibr" rid="ref145">Schmidt, 2010</xref>). Among the LEE-encoded proteins is intimin (Eae), an outer membrane adhesin that mediates the intimate bacterial attachment to the host&#x2019;s intestinal cells (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). We detected <italic>eae</italic> subtypes &#x03B2;, &#x03B5;, &#x03B3;, and &#x03B8;, and further located the respective boundaries of the islands (<xref ref-type="fig" rid="fig7">Figure 7</xref>). The LEE operon organization is conserved with minor rearrangements in BAA-2440 O111:H8 at <italic>espG</italic>/<italic>rorf1</italic> as previously described in the O111:H- serotype (<xref ref-type="bibr" rid="ref121">Ogura et al., 2009</xref>). As evident in <xref ref-type="fig" rid="fig7">Figure 7</xref>, the LEEs of &#x03B2;-<italic>eae</italic> +&#x2009;strains BAA-2196 O26:H11 and BAA-2215 O103:H11 exhibit syntenic organization and inventory, again suggesting a close relationship as established by our cgMLST analyses (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption><p>Comparison of LEE islands The complete LEE islands were extracted and compared in GeneSpy. Genes are colored according to their nucleotide homologies. The organization of the LEE1 to 5 operons is indicated above. The order of strains reflects their inferred phylogenomic position and is mirrored in the LEE island organization.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g007.tif"/>
</fig>
</sec>
<sec id="sec19">
<label>3.7</label>
<title>Comparison of Stx-virulence pathotypes</title>
<p>The actual disease outcome cannot be predicted from <italic>in silico</italic> virulence profiling, considering the complex interactions between infective agent, the host microbiota (<xref ref-type="bibr" rid="ref130">Pruimboom-Brees et al., 2000</xref>; <xref ref-type="bibr" rid="ref57">Gamage et al., 2006</xref>; <xref ref-type="bibr" rid="ref117">Nguyen and Sperandio, 2012</xref>), and the infected patient (<xref ref-type="bibr" rid="ref166">Wong et al., 2000</xref>; <xref ref-type="bibr" rid="ref41">Dundas et al., 2001</xref>; <xref ref-type="bibr" rid="ref62">Gould et al., 2009</xref>; <xref ref-type="bibr" rid="ref52">Foster, 2013</xref>). Induction efficiency of the Stx-phages is positively correlated to Stx-production (<xref ref-type="bibr" rid="ref115">Muniesa et al., 2004</xref>; <xref ref-type="bibr" rid="ref103">Lo&#x015B; et al., 2009</xref>; <xref ref-type="bibr" rid="ref37">Del Cogliano et al., 2018</xref>) and thus mobilization of Stx-phages is used as a means to assess the conferred pathogenic potential (<xref ref-type="bibr" rid="ref87">Karch et al., 1999</xref>; <xref ref-type="bibr" rid="ref44">Eppinger et al., 2022</xref>; <xref ref-type="bibr" rid="ref110">Miyata et al., 2023</xref>). For the panel cultures, we recorded Stx-production traits under non-induced culture growth in LB and under phage mobilizing conditions by adding sublethal doses of MMC to the standard LB medium (<xref ref-type="fig" rid="fig8">Figure 8</xref>). In all cultures, toxin production was significantly elevated when grown in phage-inducing LB&#x2009;+&#x2009;MMC media. LB titers were undistinguishable between the cultures. In contrast, we observed culture-level differences in Stx-production capabilities upon MMC treatment. More specifically, we noted a correlation of Stx-levels to the respective <italic>stx</italic> status patterns of the strains. The class of &#x03A6;Stx<sub>2a</sub> phages carry a highly potent cytotoxin (<xref ref-type="bibr" rid="ref56">Fuller et al., 2011</xref>; <xref ref-type="bibr" rid="ref68">Hauser et al., 2020</xref>; <xref ref-type="bibr" rid="ref129">Pinto et al., 2021</xref>) and are known to mobilize upon activation of the SOS-response (<xref ref-type="bibr" rid="ref22">Bonanno et al., 2016</xref>; <xref ref-type="bibr" rid="ref173">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="ref44">Eppinger et al., 2022</xref>). In consequence, the Stx titers of the three <italic>stx<sub>2a</sub></italic> +&#x2009;isolates were all found exacerbated (<xref ref-type="fig" rid="fig8">Figure 8</xref>). Strain BAA-2219 (O121:H19), carrying only <italic>stx<sub>2a</sub></italic>, is the highest-level producer followed by <italic>stx<sub>1a</sub></italic>/<italic>stx<sub>2a</sub> +</italic> strains BAA-2440 (O111:H8) and BAA-2196 (O26:H11). Significantly lower and comparable titers were found in the remainder of strains: <italic>stx<sub>1</sub></italic> strains BAA-2215 (O103:H11) and BAA-2193 (O45:H2), as well as <italic>stx<sub>1a/</sub>stx<sub>2d</sub></italic> strain BAA-2192 (O145:NM). One caveat using this methodology is that it cannot distinguish between the contribution of individual &#x03A6;Stx-phages to the overall Stx titer (<xref ref-type="bibr" rid="ref151">Skinner et al., 2014</xref>). For this reason, we further investigated the mobilization of individual &#x03A6;Stx-phages and resulting <italic>stx</italic> expression in the three strains that co-harbor &#x03A6;Stx<sub>1a</sub>, &#x03A6;Stx<sub>2a</sub>, and &#x03A6;Stx<sub>2d</sub> phages (<xref rid="SM10" ref-type="supplementary-material">Supplementary Figure S4</xref>). Both phages carried by <italic>stx<sub>1a/</sub>stx<sub>2a</sub> +</italic> strains BAA-2196 (O26:H11) and BAA-2440 (O111:H8) respond to MMC treatment (<xref rid="SM10" ref-type="supplementary-material">Supplementary Figure S4</xref>). In the latter, &#x03A6;Stx<sub>2a</sub> copies and <italic>stx<sub>2a</sub></italic> transcripts exceed the respective &#x03A6;Stx<sub>1a</sub> numbers in both media, while in strain BAA-2196 the <italic>stx<sub>1a</sub></italic> and <italic>stx<sub>2a</sub></italic> transcript copies are comparable under non-induced growth in LB. In contrast, only the &#x03A6;Stx<sub>1a</sub> phage is significantly mobilized in <italic>stx<sub>1a/</sub>stx<sub>2d</sub> +</italic> strain BAA-2192 (O145:NM), and in consequence <italic>stx</italic><sub>1a</sub> transcripts surpass <italic>stx</italic><sub>2d</sub> copies upon MMC induction, while <italic>stx</italic><sub>2d</sub> copies are more abundant under non-induced growth in LB. Our observations suggest a considerable heterogeneity in &#x03A6;Stx-phage mobilization, even within the same &#x03A6;Stx-phage subtype (<xref ref-type="bibr" rid="ref115">Muniesa et al., 2004</xref>; <xref ref-type="bibr" rid="ref170">Yano et al., 2023</xref>). Overall, we observed a positive correlation between phage mobilization, toxin transcript levels, and produced titers (<xref ref-type="fig" rid="fig8">Figure 8</xref>; <xref rid="SM10" ref-type="supplementary-material">Supplementary Figure S4</xref>); in analogy to other studies (<xref ref-type="bibr" rid="ref36">de Sablet et al., 2008</xref>; <xref ref-type="bibr" rid="ref19">Bielaszewska et al., 2012</xref>).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption><p>Variability in Stx-production The concentration of Stx<sub>1</sub> and Stx<sub>2</sub> produced under non-induced and MMC-induced phage mobilizing conditions was quantified by ELISA. Differences between the non-induced and MMC-induced phage mobilizing conditions for each strain were assessed using a two-way ANOVA, followed by Sidak&#x2019;s multiple comparisons. Statistical significance is denoted as &#x002A;<italic>p</italic> &#x003C;&#x2009;0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C;&#x2009;0.005; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C;&#x2009;0.0005; and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C;&#x2009;0.00005. For strain&#x2013;strain comparison under MMC-induced conditions, differences in toxin concentration are indicated by letters (a&#x2013;d), with &#x201C;a&#x201D; denoting the highest concentration group, in a descending order determined by a one-way ANOVA with Tukey&#x2019;s multiple comparisons test.</p></caption>
<graphic xlink:href="fmicb-15-1364026-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="sec20">
<label>4</label>
<title>Discussion and conclusions</title>
<p>Non-O157 STEC are a heterogenous group of isolates. The clinically most relevant serogroups, O26, O103, O111, O45, O121, and O145, are colloquially referred to as the &#x201C;Big Six&#x201D; due to the rising incidence of human infections. Integration of genome and virulence information for these emerging lineages is critical to improve risk assessment, biosurveillance, and prevention strategies (<xref ref-type="bibr" rid="ref54">Franz et al., 2014</xref>; <xref ref-type="bibr" rid="ref45">Eppinger and Cebula, 2015</xref>; <xref ref-type="bibr" rid="ref142">Sadiq et al., 2015</xref>; <xref ref-type="bibr" rid="ref138">Rusconi and Eppinger, 2016</xref>). Our study of these ATCC reference type cultures, comprised of six strains representing each of the non-O157 Big Six serogroups, can only provide a glimpse into the genome composition and virulence features. Our future efforts are directed to profile larger strain sets, anchored by the here presented genomes, in an attempt to capture the extent of plasticity found in the emerging human pathogenic Big Six serogroups. Comprehensive analyses of this panel highlight the distinct &#x03A6;Stx-phage subtypes and their dissimilar phage mobilization patterns, likely associated with the plasticity of regulator regions relevant for replication (<xref ref-type="bibr" rid="ref120">Ogura et al., 2015</xref>; <xref ref-type="bibr" rid="ref102">Llarena et al., 2021</xref>; <xref ref-type="bibr" rid="ref5">Allu&#x00E9;-Guardia et al., 2022</xref>; <xref ref-type="bibr" rid="ref48">Fagerlund et al., 2022</xref>), and intimately linked to Stx-production and Stx-conferred virulence. The different plasmid types and gene contents, including colicin types E3 and D and several antibiotics resistance determinants, provide only a glimpse into the genomic plasticity that can be found in this heterogenous panel of non-O157 STECs (<xref ref-type="bibr" rid="ref31">Cortimiglia et al., 2020</xref>). Production of colicins and antibiotic resistance are major drivers of microbial evolution (<xref ref-type="bibr" rid="ref49">Feldgarden and Riley, 1999</xref>; <xref ref-type="bibr" rid="ref97">Leekitcharoenphon et al., 2021</xref>). Fitness effects mediated by colicins and antibiotic resistance determinants will impact a strain&#x2019;s individual evolutionary trajectory, and we note that antibiotic resistance and thus pathogenic potential among all STEC serogroups has increased over time and calls for enhanced biosurveillance (<xref ref-type="bibr" rid="ref113">Mukherjee et al., 2021</xref>). The availability of closed high-quality genomes and carried plasmids of representative Big Six strains, along with insight into their pathogenome make-up and Stx-virulence pathotypes provides a foundation for the research community to broadly explore common and lineage-specific characteristics and evolutionary trajectories of these globally emerging human pathogenic non-O157 STEC lineages.</p>
</sec>
<sec sec-type="data-availability" id="sec21">
<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="sec" rid="sec25">Supplementary material</xref>.</p>
</sec>
<sec sec-type="author-contributions" id="sec22">
<title>Author contributions</title>
<p>AK: Writing &#x2013; review &#x0026; editing, Data curation, Formal analysis, Investigation, Validation, Visualization. SK: Writing &#x2013; review &#x0026; editing, Formal analysis, Investigation, Project administration, Validation. JaB: Writing &#x2013; review &#x0026; editing, Formal analysis, Investigation, Resources. JoB: Writing &#x2013; review &#x0026; editing, Formal analysis, Investigation, Resources. ME: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Project administration, Resources, Software, Supervision, Visualization.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number SC1GM135110, and the South Texas Center for Emerging Infectious Diseases (STCEID). This work received computational support from the High-Performance Computing Cluster (HPCC) operated by Tech Solutions at UTSA.</p>
</sec>
<ack>
<p>The use of product and company names is necessary to accurately report the methods and results; however, the United States Department of Agriculture (USDA) neither guarantees nor warrants the standard of the products, and the use of names by the USDA implies no approval of the product to the exclusion of others that may also be suitable. The USDA is an equal opportunity provider and employer. We would like to thank Felix Borrego for assistance with data visualization.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec25">
<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.2024.1364026/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2024.1364026/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.XLSX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.XLSX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.XLSX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_4.XLSX" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_5.XLSX" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://www.atcc.org/products/mp-9" ext-link-type="uri">https://www.atcc.org/products/mp-9</ext-link></p></fn>
<fn id="fn0002"><p><sup>2</sup><ext-link xlink:href="http://www.bioinformatics.babraham.ac.uk/projects/fastqc" ext-link-type="uri">http://www.bioinformatics.babraham.ac.uk/projects/fastqc</ext-link></p></fn>
<fn id="fn0003"><p><sup>3</sup><ext-link xlink:href="https://github.com/tseemann/ABRicate" ext-link-type="uri">https://github.com/tseemann/ABRicate</ext-link></p></fn>
<fn id="fn0004"><p><sup>4</sup><ext-link xlink:href="https://cge.cbs.dtu.dk/services/ResFinder/" ext-link-type="uri">https://cge.cbs.dtu.dk/services/ResFinder/</ext-link></p></fn>
<fn id="fn0005"><p><sup>5</sup><ext-link xlink:href="https://enterobase.warwick.ac.uk/species/ecoli/download_7_gene" ext-link-type="uri">https://enterobase.warwick.ac.uk/species/ecoli/download_7_gene</ext-link></p></fn>
</fn-group>
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