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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>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1662779</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>Phylogenomic insights into LA-MRSA from Argentine pig farm environments: novel <italic>OptrA</italic> variant and regional emergence of an ST9 lineage co-circulating with international CC398 lineages</article-title>
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<name><surname>Gonz&#x00E1;lez</surname><given-names>Mar&#x00ED;a Jos&#x00E9;</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<name><surname>Parada</surname><given-names>Juli&#x00E1;n</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<name><surname>Blasko</surname><given-names>Enrique</given-names></name>
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<name><surname>Sosa</surname><given-names>Ezequiel Jorge</given-names></name>
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<name><surname>Suleyman</surname><given-names>Geehan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Kaur</surname><given-names>Jagjeet</given-names></name>
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<name><surname>Maki</surname><given-names>Gina</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Prentiss</surname><given-names>Tyler</given-names></name>
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<name><surname>Corti Isgro</surname><given-names>Maite</given-names></name>
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<name><surname>Pereyra</surname><given-names>Natalia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Gonz&#x00E1;lez</surname><given-names>Roc&#x00ED;o</given-names></name>
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<name><surname>Dagatti</surname><given-names>Agostina</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name><surname>Gagetti</surname><given-names>Paula</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<name><surname>Pacharoni</surname><given-names>Fernanda</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<name><surname>Toselli</surname><given-names>Ricardo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Martinovic Bolia</surname><given-names>Davor Nicolas</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>Bonetto</surname><given-names>Cesar</given-names></name>
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<name><surname>Del Bo</surname><given-names>Carolina</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<name><surname>Porporatto</surname><given-names>Carina</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
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<name><surname>Fern&#x00E1;ndez Do Porto</surname><given-names>Dar&#x00ED;o</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
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<name><surname>Decca</surname><given-names>Laura</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name><surname>Bocco</surname><given-names>Jos&#x00E9; Luis</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Am&#x00E9;</surname><given-names>Mar&#x00ED;a Valeria</given-names></name>
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<name><surname>Corso</surname><given-names>Alejandra</given-names></name>
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<name><surname>Carranza</surname><given-names>Alicia Isabel</given-names></name>
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<name><surname>Zervos</surname><given-names>Marcus</given-names></name>
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<name><surname>Sola</surname><given-names>Claudia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Departamento de Bioqu&#x00ED;mica Cl&#x00ED;nica, Facultad de Ciencias Qu&#x00ED;micas, Universidad Nacional de C&#x00F3;rdoba and Centro de Investigaciones en Bioqu&#x00ED;mica Cl&#x00ED;nica e Inmunolog&#x00ED;a (CIBICI) CONICET</institution>, <addr-line>C&#x00F3;rdoba</addr-line>, <country>Argentina</country></aff>
<aff id="aff2"><sup>2</sup><institution>Departamento de Patolog&#x00ED;a Animal, Facultad de Agronom&#x00ED;a y Veterinaria, Universidad Nacional de R&#x00ED;o Cuarto, R&#x00ED;o Cuarto and Instituto de Ciencias Veterinarias (INCIVET), CONICET</institution>, <addr-line>R&#x00ED;o Cuarto</addr-line>, <country>Argentina</country></aff>
<aff id="aff3"><sup>3</sup><institution>Laboratorio de Sistemas, Universidad Tecnol&#x00F3;gica Nacional, Regional Buenos Aires</institution>, <addr-line>Ciudad Aut&#x00F3;noma de Buenos Aires</addr-line>, <country>Argentina</country></aff>
<aff id="aff4"><sup>4</sup><institution>Division of Infectious Diseases, Henry Ford Hospital</institution>, <addr-line>Detroit, MI</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>The Global Health Initiative, Henry Ford Health</institution>, <addr-line>Detroit, MI</addr-line>, <country>United States</country></aff>
<aff id="aff6"><sup>6</sup><institution>Laboratorio de Microbiolog&#x00ED;a, Cl&#x00ED;nica Regional del SUD-R&#x00ED;o IV</institution>, <addr-line>R&#x00ED;o Cuarto</addr-line>, <country>Argentina</country></aff>
<aff id="aff7"><sup>7</sup><institution>Servicio Antimicrobianos, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS &#x201C;Dr. Carlos G. Malbr&#x00E1;n&#x201D;</institution>, <addr-line>Ciudad Aut&#x00F3;noma de Buenos Aires</addr-line>, <country>Argentina</country></aff>
<aff id="aff8"><sup>8</sup><institution>Unidad de Microbiolog&#x00ED;a, CEPROCOR, Ministerio de Producci&#x00F3;n, Ciencia e Innovaci&#x00F3;n Tecnol&#x00F3;gica de C&#x00F3;rdoba</institution>, <addr-line>C&#x00F3;rdoba</addr-line>, <country>Argentina</country></aff>
<aff id="aff9"><sup>9</sup><institution>Laboratorio de Microbiolog&#x00ED;a, Hospital Guillermo Rawson</institution>, <addr-line>C&#x00F3;rdoba</addr-line>, <country>Argentina</country></aff>
<aff id="aff10"><sup>10</sup><institution>Instituto Multidisciplinario de Investigaci&#x00F3;n y Transferencia Agroalimentaria y Biotecnol&#x00F3;gica (IMITAB) CONICET and Universidad Nacional de Villa Mar&#x00ED;a, Instituto Acad&#x00E9;mico Pedag&#x00F3;gico de Ciencias B&#x00E1;sicas y Aplicadas</institution>, <addr-line>Villa Mar&#x00ED;a</addr-line>, <country>Argentina</country></aff>
<aff id="aff11"><sup>11</sup><institution>Facultad de Ciencias Exactas y Naturales, Departamento de Qu&#x00ED;mica Biol&#x00F3;gica, Universidad de Buenos Aires</institution>, <addr-line>Buenos Aires</addr-line>, <country>Argentina</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0004">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/531991/overview">Mohamed K. Fakhr</ext-link>, University of Tulsa, United States</p></fn>
<fn fn-type="edited-by" id="fn0005">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/463498/overview">Ben Pascoe</ext-link>, University of Oxford, United Kingdom</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2659420/overview">Henrike Kr&#x00FC;ger-Haker</ext-link>, Free University of Berlin, Germany</p></fn>
<corresp id="c001">&#x002A;Correspondence: Claudia Sola, <email>csola@unc.edu.ar</email></corresp>
<fn fn-type="equal" id="fn0003"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="ecorrected">
<day>13</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1662779</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Gonz&#x00E1;lez, Parada, Blasko, Sosa, Suleyman, Kaur, Maki, Prentiss, Corti Isgro, Pereyra, Gonz&#x00E1;lez, Dagatti, Gagetti, Pacharoni, Toselli, Martinovic Bolia, Bonetto, Del Bo, Porporatto, Fern&#x00E1;ndez Do Porto, Decca, Bocco, Am&#x00E9;, Corso, Carranza, Zervos and Sola.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gonz&#x00E1;lez, Parada, Blasko, Sosa, Suleyman, Kaur, Maki, Prentiss, Corti Isgro, Pereyra, Gonz&#x00E1;lez, Dagatti, Gagetti, Pacharoni, Toselli, Martinovic Bolia, Bonetto, Del Bo, Porporatto, Fern&#x00E1;ndez Do Porto, Decca, Bocco, Am&#x00E9;, Corso, Carranza, Zervos and Sola</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p><italic>Staphylococcus aureus</italic> (SA) colonizes both humans and animals. The spread of livestock-associated methicillin-resistant <italic>S. aureus</italic> (LA-MRSA) in farms and the environment poses a public health concern. While CC398 is globally predominant, regional variation exists, and data from Argentina remain scarce. This study investigated the presence, antimicrobial resistance (AMR), and genomic features of pig-associated MRSA in central Argentina, including transmission dynamics and the global phylogenetic context of LA-MRSA lineages CC398 and CC1/ST9.</p>
</sec>
<sec>
<title>Methods</title>
<p>Between February and March 2022, 41 MRSA isolates were recovered from 50 fecal and effluent samples collected from 8 of 10 (80%) farrow-to-finish pig farms in C&#x00F3;rdoba province, Argentina. Phenotypic susceptibility was assessed by disk diffusion and Vitek2 (CLSI 2023). Genotypic characterization included PCR for antimicrobial resistance genes (ARGs) and the immune evasion cluster (IEC), as well as PFGE, <italic>spa</italic> typing, SCC<italic>mec</italic> typing, and MLST. Twenty-four isolates underwent whole-genome sequencing (Illumina NovaSeq 6000) for resistome, virulome, and phylogenomic analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>Antimicrobial use was extensive, with most farms reporting use of more than seven drug classes and up to 18 compounds in the previous six months. Two predominant IEC&#x00AF; LA-MRSA lineages were identified, mostly associated to SCC<italic>mecV</italic>: CC398 (53.7%, n:22), comprising ST398 (n:17, <italic>spa</italic>-types <italic>t034/t571</italic>) and ST8814 (n:5, <italic>t571</italic>); and CC1/ST9 (41.5%, n:17, <italic>spa</italic>-t16964). One IEC+ CA-MRSA lineage (CC8/ST72, n:2, SCC<italic>mecI</italic>Va) was also detected. All isolates were multidrug-resistant (MDR), with LA-MRSA showing broader resistance across 4&#x2013;7 antimicrobial classes. Multiple ARGs matched phenotypic resistance, except <italic>optrA</italic>, found in ST398 (n:5) and ST9 (n:1) despite borderline linezolid MICs (2&#x2013;4 &#x00B5;g/mL), representing the first report of <italic>optrA</italic> in <italic>S. aureus</italic> in Argentina. WGS revealed a novel optrA variant (<italic>OptrA</italic>/FDKFP), likely linked to a mobile genetic element. Phylogenetic analysis revealed the local emergence of a distinct ST9 clade and multiple introductions of CC398 within internationally recognized subgroups (C6/AAP and C6/EP4).</p>
</sec>
<sec>
<title>Discussion</title>
<p>These findings underscore pig farms as emerging reservoirs of multidrug-resistant MRSA both locally and globally, reinforcing the need for targeted surveillance and control strategies at the animal&#x2013;human interface.</p>
</sec>
</abstract>
<kwd-group>
<kwd>livestock-associated methicillin-resistant <italic>Staphylococcus aureus</italic></kwd>
<kwd>pig farm environment</kwd>
<kwd>clonal complexes CC398 and CC1/ST9</kwd>
<kwd>antimicrobial resistance</kwd>
<kwd>Argentina</kwd>
<kwd><italic>OptrA</italic> variant</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="129"/>
<page-count count="21"/>
<word-count count="17577"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Antimicrobials, Resistance and Chemotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p><italic>Staphylococcus aureus</italic> (SA) is a common commensal in humans and animals, including livestock, and a major opportunistic pathogen responsible for infections ranging from skin lesions to fatal bacteremia (<xref ref-type="bibr" rid="ref94">Park and Ronholm, 2021</xref>). Beyond its virulence, its significance lies in its remarkable ability to acquire antimicrobial resistance, particularly methicillin resistance (MRSA), and to spread across healthcare (HA), community (CA), and livestock-associated (LA) settings (<xref ref-type="bibr" rid="ref94">Park and Ronholm, 2021</xref>; <xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>). In 2019, SA was the leading bacterial cause of death globally and the second in antimicrobial resistance (AMR)-related mortality, ranking first in the Americas. It also showed the sharpest increase in AMR-attributed deaths from 1990 to 2021 and is classified by WHO as a high-priority pathogen (<xref ref-type="bibr" rid="ref43">GBD 2019 Antimicrobial Resistance Collaborators, 2022</xref>; <xref ref-type="bibr" rid="ref44">GBD 2021 Antimicrobial Resistance Collaborators, 2024</xref>; <xref ref-type="bibr" rid="ref5">Antimicrobial Resistance Collaborators, 2022</xref>, <xref ref-type="bibr" rid="ref6">2023</xref>; <xref ref-type="bibr" rid="ref104">Sati et al., 2025</xref>).</p>
<p>Within the One Health framework, AMR is driven by antimicrobial use in human medicine, agriculture, and animal production, particularly pig farming, and by environmental stressors such as heavy metals, which facilitate the persistence and spread of AMR-bacteria and AMR-genes (ARGs) across human-animal-environmental sectors (<xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>). In 2015, Argentina adopted the One Health approach and launched a national AMR strategy. In August 2022, legislation was passed to regulate antibiotic use and sales in both human and veterinary contexts.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> In pig production, antimicrobials are widely used for treatment and prevention. Antibiotic growth promoters have been banned in several countries, including Argentina since 2024 (<xref ref-type="bibr" rid="ref112">SNSyCAA/Res.445, 2024</xref>), but remain permitted elsewhere (<xref ref-type="bibr" rid="ref90">Muurinen et al., 2021</xref>).</p>
<p>Although SA is endemic worldwide, the emergence of high-risk clones (HRCs), defined by enhanced transmissibility, virulence, and/or multidrug resistance (MDR), has accelerated its global spread (<xref ref-type="bibr" rid="ref1">Aanensen et al., 2016</xref>). MDR HA-MRSA clones have circulated in hospitals since 1959. From the 1980s, distinct CA-MRSA clones emerged with regional variation and now also cause hospital-onset infections (<xref ref-type="bibr" rid="ref34">Egea et al., 2014</xref>; <xref ref-type="bibr" rid="ref67">Lakhundi and Zhang, 2018</xref>; <xref ref-type="bibr" rid="ref11">Barcudi et al., 2020</xref>). LA-MRSA is a significant zoonotic pathogen of growing global public health concern. It was first isolated from bovine mastitis in 1972, and zoonotic transmission from pigs (ST398 lineage) was first reported in the Netherlands in 2005 (<xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>). Today, pigs are recognized as important reservoirs of MDR LA-MRSA, primarily acting as asymptomatic carriers colonized on skin and mucosa. Direct animal contact is the main transmission route on farms, while contaminated environments and animal products further amplify dissemination (<xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>). MRSA positivity in pig farms varies by region; in countries such as Denmark and the Netherlands, over 75% of farms are MRSA-positive (<xref ref-type="bibr" rid="ref111">Sieber et al., 2018</xref>; <xref ref-type="bibr" rid="ref33">EFSA and ECDC, 2023</xref>).</p>
<p>While the prevalence of MDR LA-MRSA remains lower than that of HA- or CA-MRSA, infections are increasing, sometimes in individuals without livestock contact, raising public health concerns, particularly in regions with intensive pig production (<xref ref-type="bibr" rid="ref22">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Campana-Burguet et al., 2025</xref>) Human-to-human transmission has been reported, especially from farm workers to household members, and occasionally in healthcare settings (<xref ref-type="bibr" rid="ref7">Avbersek et al., 2021</xref>; <xref ref-type="bibr" rid="ref28">Crespo-Piazuelo and Lawlor, 2021</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>). Reverse zoonosis from humans to pigs has also been documented (<xref ref-type="bibr" rid="ref92">Narvaez-Bravo et al., 2016</xref>; <xref ref-type="bibr" rid="ref103">Sahibzada et al., 2017</xref>).</p>
<p>Clonal complex (CC) 398 is the dominant LA-MRSA lineage worldwide, particularly in Europe, but has also been reported in the Americas, Asia, and Oceania (<xref ref-type="bibr" rid="ref103">Sahibzada et al., 2017</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>). Another key lineage, ST9/CC1, predominates in Asia and is emerging in the USA and Europe (<xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>). Both lineages commonly exhibit MDR and have been linked to zoonotic transmission, including cases without direct livestock contact (<xref ref-type="bibr" rid="ref22">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="ref54">Jin et al., 2020</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>). Of particular concern is their resistance to oxazolidinones, last-resort drugs for Gram-positive infections in humans. Three transferable resistance genes, <italic>cfr</italic>, <italic>optrA</italic>, and <italic>poxtA</italic>, have been primarily identified in livestock-associated staphylococci and are notable for their cross-resistance, mobility, and co-selection potential (<xref ref-type="bibr" rid="ref107">Schwarz et al., 2018</xref>; <xref ref-type="bibr" rid="ref108">Schwarz et al., 2021</xref>; <xref ref-type="bibr" rid="ref118">Timmermans et al., 2021</xref>).</p>
<p>Phylogenetic evidence suggests that LA-CC398 originated from a human-associated methicillin-susceptible <italic>Staphylococcus aureus</italic> (MSSA) ancestor that acquired <italic>tet</italic> (M) and SCC<italic>mec</italic> elements after transmission to livestock, while losing the immune evasion cluster (IEC). IEC reacquisition facilitates re-adaptation to human, illustrating the bidirectional nature of zoonotic transmission. Notably, IEC gain/loss drives host shifts not only in CC398 but also in CC1/ST9, CC1, and CC5 (<xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref22">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>). Accordingly, CC398 comprises two major clades: a livestock-associated (LA) clade [IEC<sup>&#x2212;</sup>, <italic>tet(M)</italic><sup>+</sup>, mostly MRSA] and a human-associated (HuA) clade [IEC<sup>+</sup>, <italic>tet(M)</italic><sup>&#x2212;</sup>, mostly MSSA] (<xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>). A recent study of over 3,000 CC398 genomes revealed geographically structured phylogroups across Asia, Europe, and the Americas, each with distinct resistance and virulence profiles (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>), emphasizing the need for regional genomic surveillance of LA-SA.</p>
<p>In Argentina, SA infections have increased by 23.4% over the past decade, primarily driven by community-onset MSSA with rising macrolide and gentamicin resistance, particularly the CC398-t1451-<italic>erm(T)</italic><sup>+</sup> clone (<xref ref-type="bibr" rid="ref31">Di Gregorio et al., 2023</xref>; <xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>). Although MRSA incidence remained stable and mostly HA-related, a shift from ST5-I to diverse clones, CC5 (ST5-IV, ST100-IV), CC30 (ST30-IV), and minor lineages such as CC97 (ST97-IV) and CC8 (ST8-IV, ST72-IV); has been observed (<xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>).</p>
<p>Pig farming is a key sector in Latin America, with pork consumption increasing by 57% between 2005 and 2022 (<xref ref-type="bibr" rid="ref101">Roppa et al., 2024</xref>). Brazil and Mexico lead the sector, followed by Argentina and Colombia, which together contribute 14% of global exports. In Argentina, production is concentrated in C&#x00F3;rdoba and Buenos Aires (24% each of national stock), and is highly fragmented: just 2% of farms (&#x003E;2,500 sows) produce half the slaughter pigs (<xref ref-type="bibr" rid="ref102">SAGyP, 2023</xref>). Despite the known role of pigs as MRSA reservoirs, data on circulating lineages in Argentine farms remain limited (<xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>).</p>
<p>This study aimed to: (i) identify and characterize MRSA strains from pig farm environments (feces/sludge and effluents) in the central region of Argentina (C&#x00F3;rdoba Province); and (ii) characterize LA-MRSA lineages CC1/ST9 and CC398 using whole-genome sequencing, with a focus on resistome and virulome. Potential MRSA transmission within and between farms was also assessed. Additionally, a comparative phylogenetic analysis was performed using publicly available genomes from the Americas, Europe, and Asia to contextualize Argentine isolates globally.</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>Selection of pig farms and sampling</title>
<p>A cross-sectional study was conducted between February and March 2022 on 10 intensive indoor farrow-to-finish pig farms located within a 100&#x202F;km radius of R&#x00ED;o Cuarto city, C&#x00F3;rdoba, Argentina (<xref ref-type="table" rid="tab1">Table 1</xref>). Farms were selected based on proximity to the National University of R&#x00ED;o Cuarto (UNRC) and existing connections with farmers and veterinarians, constituting a convenience sample. Farmers were informed of study aims and sampling protocols at the time of visit; none refused participation. Ethical approval was granted by the UNRC Central Bioethics Committee (Resolution 376/22, CS-UNRC). Each farm was visited by two veterinarians, who asked farm owners (Yes/No) whether antibiotics had been used for any purpose (treatment, prevention, or growth promotion) in the previous 6 months, and to specify the antibiotics used according to their records. Five environmental samples were collected per farm from high-traffic, feces-contaminated areas, covering different production stages: breeding stock, lactating piglets, nursery (40&#x202F;&#x00B1;&#x202F;4&#x202F;days of age), finishing pigs (120&#x202F;&#x00B1;&#x202F;4&#x202F;days of age), and effluents. Environmental samples were collected using absorbent overshoes walked in an &#x201C;X&#x201D; pattern per area, with two overshoes per location placed in a sterile polyethylene bag. Effluent samples (50&#x202F;mL) were taken from the pipe leading to the treatment lagoon. Samples were stored at 4&#x00B0;C and processed within 8&#x202F;h.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>MRSA status of fecal and effluent samples and molecular characteristics from 10 pig farms in C&#x00F3;rdoba Province, central Argentina.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Farm ID (n)<sup>a</sup></th>
<th align="center" valign="top" colspan="4">Production stage (category/pen) of environmental fecal samples</th>
<th/>
<th/>
</tr>
<tr>
<th align="center" valign="top">Breeding stock</th>
<th align="center" valign="top">Lactating piglets</th>
<th align="center" valign="top">Nursery (40&#x202F;&#x00B1;&#x202F;4&#x202F;days)</th>
<th align="center" valign="top">Finishing pigs (120&#x202F;&#x00B1;&#x202F;4&#x202F;days)</th>
<th align="center" valign="top">Swine production effluents</th>
<th align="center" valign="top">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td align="center" valign="middle" colspan="6">MRSA status<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="middle">1 (2500)</td>
<td align="center" valign="middle">+&#x002A;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">(+)&#x002A;</td>
<td align="center" valign="middle">+&#x002A;, +&#x002A;</td>
<td align="center" valign="middle">(+), +&#x002A;</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">2 (180)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">(+&#x002A;&#x002A;), +&#x002A;&#x002A;</td>
<td align="center" valign="middle">+&#x002A;&#x002A;, +&#x002A;&#x002A;</td>
<td align="center" valign="middle">(+)&#x002A;&#x002A;, +&#x002A;&#x002A;</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">3 (200)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">4 (1000)</td>
<td align="center" valign="middle">(+, +)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">5 (500)</td>
<td align="center" valign="middle">(+)</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">6 (750)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">(+)&#x002A;&#x002A;<sup>c</sup>, +&#x002A;&#x002A;<sup>c</sup></td>
<td align="center" valign="middle">+&#x002A;&#x002A;<sup>d</sup></td>
<td align="center" valign="middle">(+)&#x002A;&#x002A;<sup>d</sup></td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">7 (200)</td>
<td align="center" valign="middle">(+, +)</td>
<td align="center" valign="middle">(+)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">(+)</td>
<td align="center" valign="middle">(+)&#x002A;</td>
<td align="center" valign="middle">++</td>
</tr>
<tr>
<td align="left" valign="middle">8 (400)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
<tr>
<td align="left" valign="middle">9 (150)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">(+, +)</td>
<td align="center" valign="middle">(+)</td>
<td align="center" valign="middle">(+), +</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+</td>
</tr>
<tr>
<td align="left" valign="middle">10 (2000)</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
</tr>
<tr>
<td align="left" valign="middle">% positive</td>
<td align="center" valign="middle">50 (4/8)</td>
<td align="center" valign="middle">37.5 (3/8)</td>
<td align="center" valign="middle">75 (6/8)</td>
<td align="center" valign="middle">87.5 (7/8)</td>
<td align="center" valign="middle">62.5 (5/8)</td>
<td align="center" valign="middle">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>Farm ID: Identification number of each farm and (n), the number of sows per farm (1&#x2013;10). <sup>b</sup>MRSA status: &#x201C;+&#x201D; indicates MRSA-positive, with &#x201C;+&#x201D; representing one MRSA strain recovered and &#x201C;+,+&#x201D; indicating two MRSA strains recovered. &#x201C;(+)&#x201D; denotes one sequenced MRSA strain, while &#x201C;(+, +)&#x201D; indicates two sequenced MRSA strains. Background colors represent MRSA lineages: dark gray, CC398 MRSA; light gray, ST9/CC1 MRSA; white, ST72/CC8 MRSA. &#x002A;<italic>optr</italic>A-positive; &#x002A;&#x002A;<italic>fos</italic>B-positive. MRSA strains carrying <sup>c</sup>SCC<italic>mec</italic> III-like, <sup>d</sup>SCC<italic>mec</italic> V-like.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Sample processing and microbiology</title>
<p>Overshoe samples were diluted 1:10 (10&#x202F;mL/g) in PBS, homogenized, and centrifuged (600&#x202F;rpm, 2&#x202F;min); supernatants were further diluted 1:10 in PBS. Effluent samples followed the same procedure. One milliliter of each dilution was enriched in 9&#x202F;mL tryptic soy broth with 6.5% NaCl and incubated overnight. Then, 100&#x202F;&#x03BC;L were plated on CHROMagar&#x2122; Staph aureus (CHROMagar Microbiology, France). Presumptive SA colonies (1&#x2013;2 per plate) were confirmed by morphology, standard biochemical tests, and PCR for the <italic>nuc</italic> gene.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Susceptibility testing</title>
<p>Antimicrobial susceptibility was assessed by disk diffusion and Vitek2 AST-P653 cards (bioM&#x00E9;rieux, France) according to CLSI guidelines (<xref ref-type="bibr" rid="ref26">Clinical and Laboratory Standards Institute, 2023</xref>). Antibiotics tested by disk diffusion (disk content in brackets) included: cefoxitin (FOX, 30&#x202F;&#x03BC;g), penicillin (PEN, 10&#x202F;U), gentamicin (GEN, 10&#x202F;&#x03BC;g), erythromycin (ERY, 15&#x202F;&#x03BC;g), clindamycin (CLI, 2&#x202F;&#x03BC;g), tetracycline (TET, 30&#x202F;&#x03BC;g), minocycline (MIN, 30&#x202F;&#x03BC;g), chloramphenicol (CMP, 30&#x202F;&#x03BC;g), trimethoprim/sulfamethoxazole (SXT, 1.25/23.75&#x202F;&#x03BC;g), rifampicin (RIF, 5&#x202F;&#x03BC;g), ciprofloxacin (CIP, 5&#x202F;&#x03BC;g), and linezolid (LZD, 30&#x202F;&#x03BC;g). Vancomycin (VAN) was evaluated by minimal inhibitory concentration (MIC) with Vitek2. For <italic>optrA</italic>-positive MRSA, LZD susceptibility was evaluated by both Vitek2 and E-test (bioM&#x00E9;rieux, France). <italic>S. aureus</italic> ATCC 29213 and ATCC 25923 were used as quality control strains for MIC and disk diffusion testing, respectively. Antimicrobial susceptibility results were interpreted according to CLSI guidelines (<xref ref-type="bibr" rid="ref26">Clinical and Laboratory Standards Institute, 2023</xref>). Fosfomycin (FOS) was not tested, following EUCAST recommendations (<xref ref-type="bibr" rid="ref35">EUCAST, 2024</xref>), as no clinical breakpoints are available and current methods lack reliable correlation with clinical outcomes. Multidrug resistance (MDR) was defined as resistance to &#x2265;3 antimicrobial (ATM) classes (<xref ref-type="bibr" rid="ref79">Magiorakos et al., 2012</xref>). PCR was used to detect <italic>mecA</italic>, <italic>mecC</italic>, and additional resistance genes (<xref ref-type="bibr" rid="ref13">Benito et al., 2014</xref>) based on phenotypic profiles (<xref ref-type="table" rid="tab2">Table 2</xref>). <italic>optr</italic>A, <italic>fos</italic>B, and <italic>tet</italic>(T) genes, identified in sequenced genomes, were also screened by PCR in all MRSA (<xref ref-type="supplementary-material" rid="SM7">Supplementary Table S1</xref> for primers).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Characteristics of 41 MRSA strains isolated from fecal and effluent samples in pig farm environments in central Argentina.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">CC/n, %<sup>a</sup></th>
<th align="center" valign="top" rowspan="2">ST/, n, % <sup>a</sup></th>
<th align="center" valign="top" rowspan="2">FARM</th>
<th align="center" valign="top" rowspan="2">PFGE type/n, % <sup>a</sup></th>
<th align="center" valign="top" rowspan="2">PFGE<break/>Subtype/no.(%)<sup>b</sup></th>
<th align="center" valign="top" rowspan="2">CC398 <italic>sau1-hsdS1</italic><sup>c</sup></th>
<th align="center" valign="top" rowspan="2">RIDOM <italic>spa</italic> type/no. (%)<sup>b</sup></th>
<th align="center" valign="top" rowspan="2">SCC<italic>mec</italic> no. (%)<sup>b</sup></th>
<th align="center" valign="top" rowspan="2"><italic>agr</italic> type</th>
<th align="center" valign="top" colspan="3">IEC genes<sup>c</sup></th>
<th align="center" valign="top" rowspan="2">Resistance phenotype<sup>d</sup> (no. of isolates)</th>
<th align="center" valign="top" rowspan="2">Resistance genotype<sup>e</sup>/(no. of isolates)</th>
</tr>
<tr>
<th align="center" valign="top"><italic>scn</italic></th>
<th align="center" valign="top"><italic>sak</italic></th>
<th align="center" valign="top"><italic>chp</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="5">CC398<break/>22, 53.7</td>
<td align="center" valign="middle" rowspan="4">398/,<break/>17, 41.5</td>
<td align="center" valign="middle" rowspan="4">1, 2, 6, <bold>7</bold></td>
<td align="center" valign="middle" rowspan="4">NT/17<break/>41.5</td>
<td align="center" valign="middle" rowspan="4">NT/17 (100)</td>
<td align="center" valign="middle" rowspan="4">+</td>
<td align="center" valign="middle" rowspan="4"><italic>t</italic>034: 11(64,7), <italic>t</italic>571: 6 (35.3)</td>
<td align="center" valign="middle" rowspan="4">V: 13 (76.4), V-l<sup>f</sup>: 2(11.8), III-lg: 2 (11.8)</td>
<td align="center" valign="middle" rowspan="4">1</td>
<td align="center" valign="middle" rowspan="4">&#x2500;</td>
<td align="center" valign="middle" rowspan="4">&#x2500;</td>
<td align="center" valign="middle" rowspan="4">&#x2500;</td>
<td align="center" valign="middle" rowspan="2"><bold>1-</bold>6&#x202F;AC: FOX, PEN, TMS, ERY, CLI-c, TET, MIN, CMP, CIP (10)</td>
<td align="center" valign="middle"><italic>dfrG</italic>, <italic>erm</italic>(C), <italic>lnu</italic>(B), isa(E), <italic>fexA</italic>, tet(M), <italic>fosB</italic>/(4)</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>dfr</italic>G, <italic>erm</italic>(C), <italic>fexA</italic>, <italic>tet</italic>(M), <italic>tet</italic>(K), <italic>optrA</italic>(5)/(6)</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>2-</bold>7&#x202F;AC: FOX, PEN, TMS, ERY, CLI-c, TET, MIN, CMP, GEN, CIP (6)</td>
<td align="center" valign="middle"><italic>dfrG, erm</italic>(C), <italic>erm</italic>(T), <italic>lnu</italic>(B), <italic>isa</italic>(E), <italic>fexA, aacA-aphD, tet</italic>(M), <italic>tet</italic>(K)(<italic>2</italic>), <italic>tet</italic>(L), <italic>fosB</italic>/(6)</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>3-</bold>4C: FOX, PEN, TMS, CLI-l, TET, MIN (1)</td>
<td align="center" valign="middle"><italic>dfrG, lnu</italic>(B), <italic>isa</italic>(E), <italic>tet</italic>(M), <italic>tet</italic>(L)/(1)</td>
</tr>
<tr>
<td align="center" valign="middle">ST8814<sup>h</sup>/5, 12.2</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">NT/5<break/>12.2</td>
<td align="center" valign="middle">NT/9 (100)</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle"><italic>t</italic>571: 5 (100)</td>
<td align="center" valign="middle">V: 5 (100)</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">&#x2500;</td>
<td align="center" valign="middle">&#x2500;</td>
<td align="center" valign="middle">&#x2500;</td>
<td align="center" valign="middle"><bold>2-</bold>7&#x202F;AC: FOX, PEN, TMS, ERY, CLI-c, TET, MIN, CMP, GEN, CIP (5)</td>
<td align="center" valign="middle"><italic>dfr</italic>G, <italic>erm</italic>(C), <italic>erm</italic>(T), <italic>lnu</italic>(B), isa(E), <italic>fexA</italic>, <italic>aacA-aphD</italic>, <italic>tet</italic>(M), <italic>tet</italic>(K)(4), <italic>tet</italic>(L)/(5)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">CC1<break/>17, 41.5</td>
<td align="center" valign="middle" rowspan="5">9/ 17, 41.5</td>
<td align="center" valign="middle" rowspan="5">5,3,7</td>
<td align="center" valign="middle" rowspan="5">X/17<break/>41.5</td>
<td align="center" valign="middle" rowspan="5">X3/16 (94.1), X4/1 (5.9)</td>
<td align="center" valign="middle" rowspan="5">&#x2500;</td>
<td align="center" valign="middle" rowspan="5"><italic>t</italic>16964: 16 (94.1)<break/><italic>t</italic>NA<sup>i</sup>:1 (5.9)</td>
<td align="center" valign="middle" rowspan="5">V: 17 (100)</td>
<td align="center" valign="middle" rowspan="5">2</td>
<td align="center" valign="middle" rowspan="5">&#x2500;</td>
<td align="center" valign="middle" rowspan="5">&#x2500;</td>
<td align="center" valign="middle" rowspan="5">&#x2500;</td>
<td align="center" valign="middle" rowspan="2"><bold>4-</bold>4&#x202F;AC: FOX, PEN, ERY, CLI-c, CMP, CIP (13)</td>
<td align="center" valign="middle"><italic>erm</italic>(C), <italic>vga</italic>(A)(<italic>2</italic>), <italic>fexA</italic>/(12)</td>
</tr>
<tr>
<td align="center" valign="middle"><italic>erm</italic>(C), <italic>fexA, optrA/(1)</italic></td>
</tr>
<tr>
<td align="center" valign="middle"><bold>5-</bold>4&#x202F;AC: FOX, PEN, CLI-l, CMP, CIP (2)</td>
<td align="center" valign="middle"><italic>vga</italic>(A), <italic>fexA/</italic>(2)</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>6-</bold>5&#x202F;AC: FOX, PEN, ERY, CLI-c, TET, MIN, CMP, CIP (1)</td>
<td align="center" valign="middle"><italic>erm</italic>(C), <italic>vga</italic>(A), <italic>fexA, tet</italic>(T), <italic>tet</italic>(L)/(<italic>1</italic>)</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>7-</bold>4&#x202F;AC: FOX, PEN, CLI-l, TET, MIN, CMP, CIP (1)</td>
<td align="center" valign="middle"><italic>vga</italic>(A), <italic>fexA, tet</italic>(T), <italic>tet</italic>(L)/(<italic>1</italic>)</td>
</tr>
<tr>
<td align="left" valign="middle">CC8<break/>2, 4.8</td>
<td align="center" valign="middle">72/2 4.8</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">R/2, 4.8</td>
<td align="center" valign="middle">R26/2 (100)</td>
<td align="center" valign="middle">&#x2500;</td>
<td align="center" valign="middle"><italic>t</italic>3092: 2 (100)</td>
<td align="center" valign="middle">IVa: 2 (100)</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle"><bold>8-</bold>3&#x202F;AC: FOX, PEN ERY, TET (2)</td>
<td align="center" valign="middle"><italic>msr</italic>(A),<italic>mph</italic>(C), <italic>tet</italic>(K)/(2)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CC, Clonal Complex; ST, Sequence Type, PFGE type/subtype, Pulsed Field Gel Electrophoresis type and subtypes; RIDOM <italic>spa</italic> type: staphylococcal protein A (<italic>spa</italic>) type assigned through the RIDOM databases (<ext-link xlink:href="http://spaserver.ridom.de" ext-link-type="uri">http://spaserver.ridom.de</ext-link>); SCC<italic>mec</italic>: Type of Staphylococcal Cassette Chromosome <italic>mec</italic>; <italic>agr</italic> type, type of accessory gene regulator allotype. <sup>a</sup>n, %: number and % of total MRSA (n: 41) of each CC or ST or PFGE type (NT: not typeable by SmaI-PFGE). <sup>b</sup>no. (%), number and % of strains with this molecular characteristic (PFGE subtype or <italic>spa</italic>-type or SCC<italic>mec</italic> type) belonging to each ST. <sup>c</sup>CC398 <italic>sau1-hsdS1</italic> gene (<xref ref-type="bibr" rid="ref115">Stegger et al., 2011</xref>) and IEC genes (immune evasion complex genes: <italic>scn, sak</italic> and <italic>chp</italic>): + positive or <italic>&#x2500;</italic> negative by PCR. <sup>d</sup>Resistance phenotype is indicated as follows: Pattern (number: 1&#x2013;8)&#x2014;number of resistant antimicrobial classes (AC) and specific antimicrobial resistances detected in each pattern. The tested antimicrobials include cefoxitin (FOX), penicillin (PEN), trimethoprim/sulfamethoxazole (SXT), erythromycin (ERY), clindamycin (CLI-c: constitutive macrolide-lincosamide-streptogramin B resistance; CLI-l: lincosamide-only resistance), tetracycline (TET), minocycline (MIN), chloramphenicol (CMP), gentamicin (GEN), and ciprofloxacin (CIP). <sup>e</sup>Resistance genotype: The presence of 20 antibiotic resistance genes: <italic>tet</italic>(M)/(L)/(K)/(T)<italic>, erm</italic>(A)/(B)/(C)/(T)<italic>, msr</italic>(A)<italic>, mph</italic>(C)<italic>, lnu</italic>(A)/(B)<italic>, vga</italic>(A)<italic>, isa</italic>(E)<italic>, optrA</italic>, <italic>fexA</italic>, <italic>aacA-aphD</italic> or <italic>aac(6&#x2032;)-aph(2&#x2033;)</italic>, <italic>dfrG</italic>, <italic>dfrA</italic>, and <italic>fosB,</italic> was analyzed by PCR. Detected genes are indicated; the number of positive isolates is shown in parentheses when not all isolates carried the gene. <sup>f</sup>SCC<italic>mec</italic> V-like: positive for <italic>ccrC1</italic> gene (<italic>ccr</italic> gen complex 5) and class C2 <italic>mec</italic> gene complex and harbored additional <italic>ccrA1/ccrB1</italic> genes. <italic><sup>g</sup></italic>SCC<italic>mec</italic> III-like: positive by for class A <italic>mec</italic> gene complex <italic>and ccr3 gene complex</italic>, but negative for SCCHg (<italic>mer</italic> operon and J region in SCC<italic>mercury</italic>; <xref ref-type="bibr" rid="ref23">Chongtrakool et al., 2006</xref>) and J1 region of SCC<italic>mec</italic> III (<xref ref-type="bibr" rid="ref84">Milheirico et al., 2007</xref>). <sup>h</sup>New ST detected in this study. <sup>i</sup><italic>spa</italic> type (07&#x2013;23&#x2013;02-12-23-12-23-34) not assigned (NA) but related to <italic>t</italic>16964 (07&#x2013;23&#x2013;02-12-23-34).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Molecular typing</title>
<p>All MRSA isolates underwent SCC<italic>mec</italic> typing, PFGE (SmaI), and <italic>spa</italic> typing. <italic>spa</italic> types were used to infer MLST based on published correlations (<xref ref-type="bibr" rid="ref11">Barcudi et al., 2020</xref>; <xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>). Isolates were PCR-screened for <italic>agr</italic> types and IEC genes (<italic>scn, chp, sak, sea, sep</italic>), and for the CC398 marker <italic>sau1-hsdS1</italic> (<xref ref-type="bibr" rid="ref115">Stegger et al., 2011</xref>).</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Whole-genome sequencing and bioinformatics</title>
<p>A representative subset of 24 isolates (11 CC398, 11 ST9, 2 ST72) was selected for WGS. Isolates were chosen from each of the eight MRSA-positive farms, prioritizing those from different animal categories, effluents, and SCC<italic>mec</italic> variants identified by PCR. Additionally, the two unique CA-MRSA ST72 isolates were sequenced to assess their genomic characteristics, and two LA-MRSA isolates of the same ST and from the same animal category were included to evaluate Single Nucleotide Polymorphisms (SNPs) differences among closely related isolates (IID7/ST9 and ID9/ST8814). Additionally, nine MRSA isolates from C&#x00F3;rdoba (2019&#x2013;2022), five CC398 and four CC1/ST9, from various sources were included for comparison. Public genomes (n: 165, CC398: 98, and CC9: 67) from NCBI and prior studies (<xref ref-type="bibr" rid="ref128">Zhou et al., 2018</xref>; <xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>; <xref ref-type="bibr" rid="ref53">Jiang et al., 2021</xref>; <xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>) were also analyzed. Sample name, accession number or Bioproject, country of origin, host, phylogenetic data, genotype and resistome are listed in <xref ref-type="supplementary-material" rid="SM8">Supplementary Tables S2.1, S2.2</xref>.</p>
<p>WGS was performed at the Genome Sciences Core Lab, Wayne State University, (Detroit, MI, United States), using Illumina NovaSeq 6,000 (150&#x202F;bp paired-end reads). Reads were trimmed with Trimmomatic v0.39 (<xref ref-type="bibr" rid="ref14">Bolger et al., 2014</xref>) and assembled using SPAdes v3.14 (<xref ref-type="bibr" rid="ref9">Bankevich et al., 2012</xref>). Assembly quality was checked with QUAST v5.2.0 (<xref ref-type="bibr" rid="ref83">Mikheenko et al., 2023</xref>). All assemblies had &#x003C;200 contigs and N50&#x202F;&#x003E;&#x202F;40,000 bp (<xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.3</xref>). Annotation was done with Prokka (<xref ref-type="bibr" rid="ref110">Seemann, 2014</xref>). Species ID was confirmed using KmerFinder v3.2 (<xref ref-type="bibr" rid="ref69">Larsen et al., 2014</xref>); STs were assigned via PubMLST. SCC<italic>mec</italic> and <italic>spa</italic> types were determined using SCC<italic>mec</italic>Finder v1.2 and spaTyper v1.0, respectively, Center for Genomic Epidemiology (CGE) (<xref ref-type="bibr" rid="ref12">Bartels et al., 2014</xref>). Detailed genomic analyses of antimicrobial resistance genes (ARGs), mobile genetic elements (MGEs), virulence genes and phylogenetic analysis are provided in Supplementary material 1 (<xref ref-type="bibr" rid="ref30">Darling et al., 2004</xref>; <xref ref-type="bibr" rid="ref70">Li and Durbin, 2009</xref>; <xref ref-type="bibr" rid="ref71">Li et al., 2009</xref>; <xref ref-type="bibr" rid="ref100">Rissman et al., 2009</xref>; <xref ref-type="bibr" rid="ref49">Jensen et al., 2010</xref>; <xref ref-type="bibr" rid="ref82">McKenna et al., 2010</xref>; <xref ref-type="bibr" rid="ref72">Li et al., 2011</xref>; <xref ref-type="bibr" rid="ref25">Cingolani et al., 2012</xref>; <xref ref-type="bibr" rid="ref77">Lozano et al., 2012</xref>; <xref ref-type="bibr" rid="ref113">Stamatakis, 2014</xref>, <xref ref-type="bibr" rid="ref114">2015</xref>; <xref ref-type="bibr" rid="ref27">Cook and Andersen, 2017</xref>; <xref ref-type="bibr" rid="ref120">van der Graaf-van Bloois et al., 2021</xref>) and summarized in each corresponding figure.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Phylogenetic analysis</title>
<p>Three maximum-likelihood (ML) trees were constructed from core genome SNPs, which were identified using the approach of <xref ref-type="bibr" rid="ref1">Aanensen et al. (2016)</xref> based on 26 fully annotated <italic>S. aureus</italic> reference genomes to define the core genome (see <xref ref-type="supplementary-material" rid="SM1">Supplementary material 1</xref> for details). The first ML tree included all 24 MRSA isolates from pig environments, using SA LGA251 (FR821779) as reference. Two lineage-specific ML trees (CC398 and ST9/CC1 with S0385 and QD-CD9 as references, respectively) included our MRSA isolates, public genomes (CC398, n: 98, LA: 68 and HuA: 30, <xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>; ST9/CC1, n: 67), and additional local genomes (CC398 n: 5 and ST9/CC1 n:4) from C&#x00F3;rdoba (2019&#x2013;2022). The latter were selected from SA strains recovered in ongoing, unpublished One Health surveillance studies (humans, rivers, animals, and food) in central Argentina (<xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.2</xref>).</p>
<p>To explore farm-level transmission, two additional SNP trees (CC398 and ST9/CC1, n: 11 each) were generated with CSI Phylogeny v1.4 (<xref ref-type="bibr" rid="ref57">Kaas et al., 2014</xref>) with lineage-specific reference genomes (S0385/ST398 and QD-CD92/ST9). Given the lack of consensus on SNP cut-offs for transmission inference (&#x003C;15 to &#x003C;50 SNPs), a 40-SNP threshold was used to define closely related strains or transmission cluster (<xref ref-type="bibr" rid="ref96">Price et al., 2014</xref>; <xref ref-type="bibr" rid="ref75">Long et al., 2014</xref>; <xref ref-type="bibr" rid="ref106">Schurch et al., 2018</xref>; <xref ref-type="bibr" rid="ref17">Bouchami et al., 2020</xref>; <xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>).</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Statistical analysis</title>
<p>Analyses were performed using SPSS v26.0 and InfoStat.<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> Differences between proportions were assessed using chi-squared tests, with <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 considered significant. Comparative analysis of ARGs counts within each lineage (ST9/CC1, ST72/CC8, ST398-ST8814/CC398) was performed using Shapiro&#x2013;Wilk, one-way ANOVA, and Tukey&#x2019;s test in R; plots were generated with ggplot2.</p>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<label>3</label>
<title>Results</title>
<sec id="sec11">
<label>3.1</label>
<title>Farm characteristics and antimicrobial usage</title>
<p>Among 10 pig farms surveyed, four were small (&#x003C;300 sows), two medium (301&#x2013;700 sows), and four large (&#x003E;700 sows) (<xref ref-type="table" rid="tab1">Table 1</xref>). Farm-reported ATM use over 6 months revealed predominant drug classes, across all farms: <italic>&#x03B2;</italic>-lactams, macrolides, aminoglycosides, and phenicols. Fluoroquinolones (9/10 farms), tetracyclines (7/10), pleuromutilins/fosfomycin (6/10), and sulfonamides/lincosamides (3/10) were also used. Most farms (8/10) used &#x003E;7 ATM classes (11&#x2013;18 agents), irrespective of MRSA status (<xref ref-type="supplementary-material" rid="SM9">Supplementary Table S3</xref>).</p>
</sec>
<sec id="sec12">
<label>3.2</label>
<title>Isolation and molecular characterization of MRSA</title>
<p>A farm was considered MRSA-positive if at least one of five collected samples tested positive (<xref ref-type="table" rid="tab1">Table 1</xref>). MRSA was detected in 41/50 samples from 8/10 farms (80%), with 6 farms (IDs 1, 2, 5, 6, 7, 9) having &#x2265;3 positive samples. Finishing (87.5%, 7/8 farms) and nursery (75%, 6/8) categories were most frequently affected. All production categories in farm ID5 tested positive for MRSA (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>Three clonal complexes (CCs) were identified: (i) CC398-LA-MRSA, detected in five farms (IDs 1, 2, 6, 7, 9) (53.7%, n:22; <italic>sau1-hsdS1</italic><sup>+</sup>, IEC<sup>&#x00AF;</sup>, PFGE non-typeable), comprising 17 ST398 isolates [<italic>spa</italic>-t034 (64.7%) and t571 (35.3%); SCC<italic>mec</italic> V (76.4%), V-like (11.8%), III-like (11.8%)] and five ST8814 isolates, a novel single-locus variant (SLV) of ST398 (<italic>gmk</italic>_629) linked to t571/SCC<italic>mec</italic>V; (ii) CC1/ST9-LA-MRSA, found in three farms (IDs 3, 5, 7); [41.5%, n: 17; IEC&#x00AF;, mainly PFGE-type X3 (94.1%), <italic>spa</italic>-t16964 including an unassigned variant in SA7643 (07&#x2013;23&#x2013;02-12-23-12-23-34), SCC<italic>mec</italic>V] and (iii) CC8/ST72-CA-MRSA detected in one farm (ID 4) (4.8%, n:2; IEC+, PFGE-type R2, <italic>spa</italic>-t3092, SCC<italic>mec</italic>IVa). Farm ID7 harbored both LA-MRSA lineages (<xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>). One representative of each CC398 SCC<italic>mec</italic> variant (SA7624/III-like and SA7628/V-like) was sequenced.</p>
</sec>
<sec id="sec13">
<label>3.3</label>
<title>Antimicrobial resistance: phenotypic and genotypic profiles</title>
<p>All MRSA isolates (n: 41) were MDR, with resistance to 3&#x2013;7 drug classes, and grouped into eight resistance profiles. Profiles 1 and 2, both associated with CC398-MRSA, showed resistance to &#x2265;6 classes (<xref ref-type="table" rid="tab2">Table 2</xref>). Resistance to CMP (92.7%), CLI (95.1%, including 85.3% constitutive MLSB, CLI-c and 9.8% lincosamide-only, CLI-l), ERY (90.2%), TET (63.4%), MIN (58.5%), SXT (53.7%), and GEN (26.8%) were detected (<xref ref-type="fig" rid="fig1">Figure 1</xref>). No resistance to rifampicin, nitrofurantoin or vancomycin was identified (<xref ref-type="supplementary-material" rid="SM10">Supplementary Table S4</xref>). Within LA-MRSA, CC398, particularly ST8814, showed significantly higher resistance than CC1/ST9 to MIN (100% vs. 11.8%), SXT (100% vs. 0%), and GEN (35.3% vs. 0%) (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Phenotypic resistance profiles of 41 pig-environment MRSA isolates from the central region of Argentina, including LA-MRSA (CC398 and CC1/ST9), ST398, ST8814, ST9, and ST72, against trimethoprim-sulfamethoxazole (SXT), chloramphenicol (CMP), clindamycin (CLI), erythromycin (ERY), ciprofloxacin (CIP), gentamicin (GEN), tetracycline (TET), and minocycline (MIN). <italic>&#x002A;p</italic>&#x202F;&#x003C;&#x202F;0.05 by &#x03C7;<sup>2</sup> test, comparing MRSA ST398 and MRSA ST9 for resistance to minocycline, trimethoprim-sulfamethoxazole, and gentamicin.</p>
</caption>
<graphic xlink:href="fmicb-16-1662779-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart illustrating antimicrobial resistance percentages to various antibiotics across different bacterial groups: SA, LA-MRSA, ST398, ST8814, ST9, and ST72. Color-coded bars represent resistance to SXT, CMP, CLI, ERY, CIP, GEN, TET, and MIN. Resistance peaks at 100% for several antibiotics in groups ST398 and ST8814, while ST9 and ST72 show lower resistance levels for certain antibiotics.</alt-text>
</graphic>
</fig>
<p>Detected antimicrobial resistance genes included <italic>mecA, tet</italic>(M)/(L)/(K)/(T), <italic>erm</italic>(C)/(T), <italic>msr</italic>(A), <italic>mph</italic>(C), <italic>lnu</italic>(B), <italic>vga</italic>(A), <italic>isa</italic>(E), <italic>fexA, aac(6&#x2032;)-aph(2&#x2033;),</italic> and <italic>dfrG</italic>, consistent with phenotypic profiles. The <italic>optr</italic>A gene was found in six isolates (6/41, 14.6%): five ST398 from farm ID1 and one ST9 from ID7 (<xref ref-type="table" rid="tab2">Table 2</xref>). All <italic>optr</italic>A-positive isolates were CMP-resistant with borderline LZD susceptibility (MIC-Vitek2: 2&#x2013;4&#x202F;&#x03BC;g/mL; MIC-E-test: 2&#x202F;&#x03BC;g/mL; <xref ref-type="supplementary-material" rid="SM10">Supplementary Table S4</xref>). Two were sequenced (ST398: SA7603; ST9: SA7633). <italic>fos</italic>B was detected in 10 ST398 isolates (10/41, 24.3%), from farms ID2 (t571, n:6) and ID6 (t034, n:4); four (two per farm) were sequenced (<xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>).</p>
</sec>
<sec id="sec14">
<label>3.4</label>
<title>Whole-genome sequencing based characteristics</title>
<p>The maximum-likelihood phylogenetic tree with farm origin, <italic>spa</italic> type, MLST, SCC<italic>mec</italic> type, resistance genes, and major MGEs of 24 sequenced MRSA isolates is shown in <xref ref-type="fig" rid="fig2">Figure 2A</xref> and <xref ref-type="supplementary-material" rid="SM11">Supplementary Table S5.4</xref>. All genomes met quality thresholds (<xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.3</xref>). The phylogeny revealed two main clades: CC398, and a second comprising CC1/ST9 and CC8/ST72.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Phylogeny and antimicrobial resistance of Argentine pig-environment MRSA. <bold>(A)</bold> Midpoint-rooted maximum-likelihood phylogenetic tree based on core genome SNPs of 24 MRSA isolates from eight pig farms in central Argentina (C&#x00F3;rdoba), constructed with 1,000 bootstrap replicates. <italic>S. aureus</italic> ENA ST425 (strain LGA251; accession FR821779) was used as the reference genome. Farm identifiers (color-coded circles at branch tips), spa type, multilocus sequence type (MLST), SCC<italic>mec</italic> type, and presence/absence of antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs) are shown. ARGs and <italic>fosB</italic> subtypes were identified using CGE ResFinder (<xref ref-type="bibr" rid="ref16">Bortolaia et al., 2020</xref>), Pathogenwatch, and the Comprehensive Antibiotic Resistance Database (CARD) (<xref ref-type="bibr" rid="ref4">Alcock et al., 2020</xref>). MGEs were identified with PlasmidFinder (<xref ref-type="bibr" rid="ref20">Carattoli et al., 2014</xref>; <xref ref-type="bibr" rid="ref19">Carattoli and Hasman, 2020</xref>) and MobileElementFinder (<xref ref-type="bibr" rid="ref56">Johansson et al., 2021</xref>), and mapped/visualized with Proksee (<xref ref-type="bibr" rid="ref45">Grant et al., 2023</xref>). ARGs are grouped into 11 antimicrobial classes: <italic>&#x03B2;</italic>-lactams, macrolide&#x2013;lincosamide&#x2013;streptogramin, tetracyclines, aminoglycosides, aminocyclitols, trimethoprim, phenicols, oxazolidinones, fluoroquinolones, bleomycin, and fosfomycin. Heavy metal resistance genes are also indicated. <bold>(B)</bold> Total number of ARGs per lineage. The bar graph shows ARG counts within each lineage: MRSA ST9/CC1 (n:11), ST72/CC8 (n: 2), and CC398 (n: 11). &#x002A;&#x002A;&#x002A;indicates <italic>P</italic> &#x003C; 0.05 by Tukey&#x2019;s test.</p>
</caption>
<graphic xlink:href="fmicb-16-1662779-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">(A) A heatmap displaying the distribution of resistance genes and mobile genetic elements across different farms and genetic types. Colors represent varied resistance profiles and genetic elements, indicating diversity and prevalence. (B) A box plot comparing the number of resistance genes among ST9/CC1, ST72/CC8, and ST398-ST8814/CC398 groups. The plot shows significant differences, marked by stars, in resistance gene quantity between ST9/CC1 and the other groups.</alt-text>
</graphic>
</fig>
<p>All LA-MRSA carried SCC<italic>mec</italic>Vc (5C2&#x0026;5), except two ST398 isolates with Vc-like and IIIA-like variants (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S1, S2A&#x2013;C</xref>). ST72 isolates carried SCC<italic>mec</italic>IVa (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). Isolate SA7628 (V-like) had a shortened SCC<italic>mec</italic>Vc lacking <italic>tet</italic>K but included <italic>ccrA1/B1</italic>, resembling strain RD9/(SAMN02391366) (<xref ref-type="bibr" rid="ref85">Monecke et al., 2018</xref>). Virtual hybridization confirmed presence probes associated with RD9 SCC<italic>mec</italic> [VT&#x202F;+&#x202F;<italic>czrC</italic>+<italic>ccrA1</italic>(<italic>ccrB1</italic>)], including gene D1GU38 linked to a second <italic>ccrC</italic>, supporting a rare Vc variant with an additional <italic>ccrA1B1</italic> complex. The SCC<italic>mec</italic> IIIA-like element in isolate SA7624 lacked the SCCHg region. BLASTn, found the <italic>mecA</italic> complex and <italic>ccrB3/ccrA3</italic> on separate contigs. Virtual hybridization with PCR primers (<xref ref-type="bibr" rid="ref23">Chongtrakool et al., 2006</xref>) detected probes consistent with SCC<italic>mec</italic>III3A (strain JCSC1716), including <italic>ccrA3B3</italic>-specific primers (<italic>&#x03B2;</italic>3, &#x03B2;4). Its <italic>ccrA3/B3</italic> genes shared 82.7 and 90.1% identity with those of strain 85/2082 SCC<italic>mec</italic>III, respectively. Phylogenetic analysis of known <italic>ccrA</italic> homologs (<xref ref-type="bibr" rid="ref47">Huang et al., 2024</xref>) placed <italic>ccr</italic>A-7624, located upstream of <italic>ccr</italic>B3, within the <italic>ccr</italic>A3 clade of SCC<italic>mec</italic>III (strain 85/2082), with 99.9% bootstrap support. Although <italic>ccrA</italic>-7624 showed 82.7% identity to <italic>ccrA</italic>3, just below the 85% cutoff for allotype definition, it exceeded inter-allotype ranges [48&#x2013;81.6% (<xref ref-type="bibr" rid="ref47">Huang et al., 2024</xref>); 60&#x2013;78% (<xref ref-type="bibr" rid="ref119">Uehara, 2022</xref>)], suggesting it belongs to or is closely related to <italic>ccrA3</italic>. Despite lacking IS<italic>431mec</italic> and cLt3 primers (<xref ref-type="bibr" rid="ref23">Chongtrakool et al., 2006</xref>), results support that SA7624 carries a type III-like SCC<italic>mec</italic> with only the type 3A component.</p>
</sec>
<sec id="sec15">
<label>3.5</label>
<title>Phylogenetic analysis and transmission of LA-MRSA</title>
<p>Core SNP-based phylogenetic trees and pairwise SNP heatmaps assessed relatedness and potential farm transmission (<xref ref-type="fig" rid="fig3">Figures 3A</xref>,<xref ref-type="fig" rid="fig3">B</xref>; <xref ref-type="supplementary-material" rid="SM11">Supplementary Tables S5.1&#x2013;3</xref>), for each major CC. CC398 grouped into <italic>spa</italic>-types <italic>t</italic>571 (Group I) and <italic>t</italic>034 (Group II). Pairwise SNPs in the <italic>t</italic>034 clade (ID1, ID6, ID7) ranged from 9 to 277 (mean: 167.4, SD: 92.3). At ID1, isolates 7,601&#x2013;7,603 differed by 9 SNPs but were &#x003E;100 SNPs from ID6 (7,624/7628) and ID7 (7641). ID6 isolates differed by 58 SNPs and harbored distinct SCC<italic>mec</italic> types (V-like vs. III-like), suggesting separate origins. The ID7 isolate was &#x003E;200 SNPs from all others. In the t571 clade, SNPs ranged from 8 to 232 (mean: 122.7, SD: 100.7). Two ST398 isolates from ID2 differed by 18 SNPs. Four ST8814 isolates from ID9 [lactating (2), nursery (1), finishing (1)] showed 8&#x2013;26 SNP differences (mean: 17.0, SD: 7.1), with a difference of 20 SNPs between the two isolates from lactating piglets, consistent with within-farm transmission. They were &#x003E;200 SNPs apart from ID2 isolates, indicating no inter-farm spread. CC398 phylogeny supports within-farm but not between-farm transmission.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Genetic relatedness of pig&#x2013;environment MRSA isolates based on core genome SNPs. <bold>(A,B)</bold> Heatmaps and dendrograms showing pairwise SNP distances among 11 CC398 MRSA isolates <bold>(A)</bold> and 11 ST9/CC1 MRSA isolates <bold>(B)</bold> from this study. SNP distances were calculated from core genome alignments, and a threshold of &#x2264;40 SNPs was used to define genetic relatedness or potential transmission clusters. Visualizations were generated using the <italic>ggplot2</italic> (v3.4.4) and <italic>ComplexHeatmap</italic> (v2.15.4) packages in RStudio. Isolates are color-coded by farm of origin.</p>
</caption>
<graphic xlink:href="fmicb-16-1662779-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two heatmaps (A and B) depict similarity matrices. Each map displays colored squares representing similarity scores between samples from different farms, with color gradients indicating similarity ranges. Clade I and II are labeled, with farm numbers associated with specific colors. Image A shows scores above one hundred, while B ranges from greater than fifty to below forty, with color scales indicating these ranges. Farm groupings are indicated in the legend.</alt-text>
</graphic>
</fig>
<p>For CC1/ST9, SNP distances were 13&#x2013;56 (mean: 37.8, SD: 10.6), indicating close relatedness. Two clades were identified: Clade I (ID5, n: 5) showed 19&#x2013;32 SNPs (mean: 24.8, SD: 3.8); Clade II (ID7, ID3; n: 6) showed 13&#x2013;52 SNPs (mean: 34.3, SD: 11.1). Intra-farm distances: 19&#x2013;32 SNPs (ID5), 13&#x2013;40 (ID7, including an 18-SNP difference between two isolates from the same category, breeding stock), and 44 (ID3). The maximum SNP distance within same-farm isolates was 44, supporting the &#x2264;40 SNP threshold, as used by <xref ref-type="bibr" rid="ref97">Randad et al. (2021)</xref>, (&#x2264;43 SNPs for CC1/ST9). We identified at least four isolates [7,629 and 7,633 (ID7), 7,614 (ID3), and 7,622 (ID5)] that clustered with those from other farms, indicating inter-farm CC1/ST9 MRSA transmission.</p>
</sec>
<sec id="sec16">
<label>3.6</label>
<title>Antibiotic resistance genes and genetic context</title>
<p>Besides <italic>mecA</italic> (PBP2a) and <italic>blaZ</italic> (&#x03B2;-lactamase), 26 ARGs were identified across the 24 MRSA genomes. Their presence, distribution within the clonal complexes, inferred genomic locations (chromosomal vs. plasmid), and MGEs (<xref ref-type="fig" rid="fig2">Figure 2A</xref>, <xref ref-type="supplementary-material" rid="SM11">Supplementary Tables S5.4,5</xref> and <xref ref-type="supplementary-material" rid="SM3">Supplementary Figures S3A,B</xref>) are shown. These conferred resistance to macrolides-lincosamides-streptograminB [<italic>erm</italic>(C)/(<italic>T</italic>)], macrolides-streptograminB [<italic>msr</italic>(A)], macrolides [<italic>mph</italic>(C)], lincosamides [<italic>lnu</italic>(B)], lincosamides-pleuromutilins-streptograminA [<italic>isa</italic>(E), <italic>vga</italic>(A)], phenicols-oxazolidinones (<italic>optrA</italic>), tetracyclines [<italic>tet</italic>(M)/(K)/(T)/(L)], aminoglycosides [<italic>aadD</italic>, <italic>aadE</italic>, <italic>aac</italic>(6&#x2032;)-<italic>aph</italic>(2&#x2033;), <italic>aph</italic>(3&#x2032;)-III, <italic>str</italic>], aminocyclitol/spectinomycin (<italic>spw</italic>, <italic>spc-v</italic>), folate pathway inhibitors (<italic>dfrG</italic>/<italic>K</italic>), phenicols (<italic>fexA</italic>, <italic>cat</italic>), fosfomycin (<italic>fosB6</italic>/<italic>B3</italic>), and bleomycin (<italic>bleO</italic>). Three chromosomal mutations conferring fluoroquinolone resistance were also detected: <italic>grlA/parC</italic>(S80F, S80Y) and <italic>gyrA</italic>(S84L). Most genes [e.g., <italic>erm</italic>(C)/(T), <italic>lnu</italic>(B), <italic>vga</italic>(A), <italic>lsa</italic>(E), <italic>aadE, aadD, aac(6&#x2032;)-aph(2&#x2033;), str, spc-v, spw, dfrK, tet</italic>(M)/(K)/(L)/(T), <italic>cat, fexA</italic>] were associated with MGEs. Four plasmid replicase families were identified: Rep_trans, RepL, Rep_1, and PriCT_1. Replicons were detected in all strains, and more frequent in CC398 (<xref ref-type="supplementary-material" rid="SM11">Supplementary Table S5.6</xref>).</p>
<p>All strains harbored multiple ARGs, with significant differences in number and distribution across MRSA lineages. CC398 isolates carried significantly more ARGs than ST9 (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), especially the novel ST398 SLV: ST8814 (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). Compared to ST9, CC398 isolates were significantly enriched (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.01) in <italic>erm</italic>(T) [54.5%, on pKKS25 with <italic>dfrK</italic> and <italic>tet</italic>(L), only in <italic>spa</italic>-t571 group]; <italic>lnu</italic>(B)-<italic>lsa</italic>(E) (81.8%), <italic>spw</italic> (72.7%), <italic>tet</italic>(M) (100%, Tn<italic>916</italic>), <italic>tet</italic>(K) (81.8%, on pT181 within SCC<italic>mec</italic>Vc), <italic>aadD</italic> (81.8%), <italic>aac(6&#x2032;)-aph(2&#x2033;)</italic> (54.5%, plasmid-borne Tn<italic>4001</italic>, in <italic>spa</italic>-t571 group), <italic>dfrG</italic> (100%, chromosomal in <italic>spa</italic>-<italic>t</italic>034, plasmid-borne in <italic>spa</italic>-<italic>t</italic>571 strains), <italic>dfrK</italic> (72.7%, chromosomal-Tn<italic>559</italic> in two <italic>spa</italic>-t034 isolates,pKKS25-plasmid in <italic>spa</italic>-<italic>t</italic>571 group), and <italic>grlA</italic>(S80Y) fluoroquinolone-resistance mutation (90.9%). The <italic>lnu</italic>(B)-<italic>lsa</italic>(E)-<italic>aadE-spw</italic> cluster (&#x003E;98% identity to SAC2944, SAC2828, and SAC2829, JQ861959, <xref ref-type="bibr" rid="ref124">Wendlandt et al., 2013</xref>) predicted to be plasmid-borne, was found in all CC398 isolates except SA7641, where a truncated version (lacking <italic>aadE</italic>) was integrated into <italic>radC</italic> via Tn<italic>560</italic> (<xref ref-type="supplementary-material" rid="SM3">Supplementary Figure S3B</xref>).</p>
<p><italic>fosB</italic> genes (<italic>fosB3, fosB6</italic>) were detected exclusively in CC398 MRSA. <italic>fosB6</italic> (100% identity to the <italic>S. aureus</italic> wild-type gene, KR870314, <xref ref-type="bibr" rid="ref40">Fu et al., 2016</xref>) was plasmid-borne and identified in two closely related spa-t571 isolates (effluent/nursery, 18 SNPs apart) from farm ID2, suggesting within-farm transmission, further supported by PCR detection of four additional fosB-positive <italic>spa</italic>-t571 strains from the same farm (<xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>). <italic>fosB3</italic> (99.5% identity to <italic>E. faecium</italic> gene on plasmid pEfm-HS0661, HQ219726, <xref ref-type="bibr" rid="ref126">Xu et al., 2013</xref>; <xref ref-type="bibr" rid="ref46">Hu et al., 2023</xref>) was found in two <italic>spa</italic>-t034 isolates from farm ID6 (58 SNPs apart, &#x003E;2,000 SNPs from ID2 strains), likely reflecting independent acquisition under fosfomycin pressure (<xref ref-type="supplementary-material" rid="SM11">Supplementary Tables S5.1,4</xref>). Both genes were predicted to be plasmid-borne, but genetic context could not be resolved due to their location on short contigs (2.5&#x2013;3.5&#x202F;kb) lacking additional genes.</p>
<p>ARGs shared across LA-MRSA lineages included the <italic>bla</italic>Z operon, on chromosomal Tn<italic>552</italic> (present in all isolates, with an additional plasmid copy in CC398 <italic>spa</italic>-t571 group), <italic>erm</italic>(C) on a pDLK1-like plasmid, <italic>fex</italic>A on chromosomal Tn<italic>558</italic> (in all LA-MRSA except CC398-SA7641), <italic>optr</italic>A, and the g<italic>yrA</italic>(S84L) mutation. The <italic>optr</italic>A genes from SA7603(ST398) and SA7633(ST9) were 100% identical and shared 99.4% identity with the <italic>E. faecalis</italic> E349 wild-type gene (GenBank: KP399637). Protein alignment (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figure S4</xref>) revealed a novel variant, OptrA/FDKFP, with five amino acid substitutions (S147F, Y176D, I287K, L471F, T481P), including two unique mutations (S147F, L471F) per nomenclature (<xref ref-type="bibr" rid="ref108">Schwarz et al., 2021</xref>). The <italic>optr</italic>A gene showed 99.57% identity to plasmid pL14 (CP043725.2), though its full genetic context could not be resolved due to short contigs (2.19&#x202F;kb) lacking flanking genes. Both isolates also carried plasmid-encoded <italic>bleO</italic> gene and an Inc18-type plasmid on separate contigs.</p>
<p>In ST9 LA-MRSA, lineage-specific elements included <italic>vga</italic>(A) (on pVGA), <italic>tet</italic>(T) [on pG38 with <italic>tet</italic>(L) and <italic>aad</italic>D], and <italic>grlA</italic>(S80F) mutation. The macrolide resistance genes <italic>mph</italic>(C) and <italic>msr</italic>(A), chromosomally co-located, were associated with ST72 MRSA.</p>
</sec>
<sec id="sec17">
<label>3.7</label>
<title>Virulence gene repertoire</title>
<p>A total of 115 virulence genes were analyzed and grouped into six categories: adherence (n:22), exoenzymes (n:15), immune evasion (n:5), iron uptake (n:6), toxins (n:55), and type VII secretion systems (T7SS; n:12) (<xref ref-type="fig" rid="fig4">Figure 4</xref>, <xref ref-type="supplementary-material" rid="SM11">Supplementary Table S5.7</xref>). Most were widespread, but some were lineage-associated: CC398 isolates carried <italic>cna</italic> (collagen adhesion) gene, whereas CC1/ST9 strains encoded T7SS genes (<italic>esaD/E, esxB/C/D</italic>), superantigen-like genes (<italic>ssl</italic>6/8), and enterotoxin-like genes (<italic>sel</italic>27, <italic>sel</italic>v, <italic>sel</italic>y), with <italic>sel</italic>27 co-localized with the <italic>egc</italic> cluster (<italic>seo, sem, sei, selw, sen, seg</italic>) within the &#x03BD;Sa&#x03B2; type XIII island (GI). <italic>sel</italic>26 and <italic>sel</italic>x were detected across all lineages. Two ST72 CA-MRSA strains uniquely carried <italic>sec-2</italic>, <italic>sell</italic> (&#x03BD;Sa&#x03B1; X-like, <xref ref-type="supplementary-material" rid="SM5">Supplementary Figure S5</xref>), serine proteases (<italic>splA&#x2013;E</italic>), <italic>lukED</italic> (&#x03BD;Sa&#x03B2; XX with <italic>egc</italic> cluster), and immune-evasion genes (<italic>chp</italic>, <italic>scn</italic>, <italic>sak</italic>). All isolates lacked <italic>sdrF&#x2013;H</italic>, <italic>splF</italic>, classical enterotoxin genes (<italic>sea, seb, sed, see, seh, sej, sek, sep, seq, selr, selu</italic>), exfoliative toxin genes (<italic>eta&#x2013;etd</italic>), <italic>pvl</italic> (<italic>lukF/S-PV</italic>), <italic>lukF</italic>-like, <italic>lukM</italic>, and <italic>tsst-1</italic>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Phylogeny and virulence genes of pig&#x2013;environment MRSA isolates from Argentina. The phylogenetic tree is the same midpoint-rooted maximum-likelihood tree shown in <xref ref-type="fig" rid="fig2">Figure 2A</xref>, constructed from core genome SNPs of 24 MRSA isolates. As in <xref ref-type="fig" rid="fig2">Figure 2A</xref>, farm identifiers (color-coded circles at branch tips), spa type, multilocus sequence type (MLST), and SCC<italic>mec</italic> type are indicated. Presence/absence of virulence genes, grouped into functional categories (adherence, immune evasion, toxins, and type VII secretion systems), is displayed. Virulence genes were identified using VFDB (<xref ref-type="bibr" rid="ref74">Liu et al., 2022</xref>) and VirulenceFinder v2.0 (<xref ref-type="bibr" rid="ref55">Joensen et al., 2014</xref>), with confirmation by BLASTn. The types of &#x03BD;Sa&#x03B1; and &#x03BD;Sa&#x03B2; genomic islands and the presence of SaPIpig1 are also shown. Comparative analyses with reference &#x03BD;Sa islands were performed using Mauve v2.4.0, and &#x03BD;Sa&#x03B2; islands were typed based on &#x2265;90% identity (<xref ref-type="bibr" rid="ref64">Klaui et al., 2019</xref>).</p>
</caption>
<graphic xlink:href="fmicb-16-1662779-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Phylogenetic tree with color-coded branches representing different clusters (CC398, CC8, CC1) and associated spa types with colored squares. Columns show virulence factors, including adherence, genomic island, secretion system, and toxins, with presence shown in black. Legend indicates farm sources, spa types, sequence types (ST), and SCCmec types.</alt-text>
</graphic>
</fig>
<p>Given their role in <italic>SA</italic> virulence and adaptation, &#x03BD;Sa&#x03B1;/&#x03BD;Sa&#x03B2; GIs were analyzed (<xref ref-type="fig" rid="fig4">Figure 4</xref>, <xref ref-type="supplementary-material" rid="SM11">Supplementary Table S5.7</xref> and <xref ref-type="supplementary-material" rid="SM5">Supplementary Figure S5</xref>). All ST398 and ST9 carried a type V &#x03BD;Sa&#x03B1; island downstream of <italic>guaA</italic>, encoding a SaPIbov4-like element (&#x003E;99.5% identity to SaPIpig1; MW589252), <italic>ssl1&#x2013;ssl11</italic>, and <italic>lpl</italic> genes, while ST398 lacked <italic>aadE</italic>, <italic>ssl6</italic>, and <italic>ssl8</italic>, consistent with previous reports (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>). The ST72 &#x03BD;Sa&#x03B1; island structure, identified in several public ST72 genomes, resembled the type X &#x03BD;Sa&#x03B1; island of H-EMRSA-15 (<xref ref-type="bibr" rid="ref128">Zhou et al., 2018</xref>). It shared the SaPImw2-associated flanking genes (<italic>ear, sec-2, sel, int-xis</italic>), while the <italic>ssl</italic> cluster additionally contained <italic>ssl4</italic> and <italic>ssl8</italic>. Therefore, we propose it as a &#x201C;&#x03BD;Sa&#x03B1; variant type X-like&#x201D; element associated with ST72.</p>
<p>In silico &#x03BD;Sa&#x03B2; analysis confirmed known types (&#x003E;90% identity): type XIII in ST9 (G19F), type V in ST398 (S0385), and type XX in ST72 (13CEB323STA), showing strong correlation with clonal complexes (<xref ref-type="bibr" rid="ref64">Klaui et al., 2019</xref>; <xref ref-type="bibr" rid="ref109">Schwendimann et al., 2021</xref>).</p>
</sec>
<sec id="sec18">
<label>3.8</label>
<title>Global phylogenetic analysis of CC398 and ST9/CC1 LA-MRSA isolates from pig farms in Central Argentina</title>
<sec id="sec19">
<label>3.8.1</label>
<title>Global phylogenetic reconstruction of CC398 LA-MRSA isolates</title>
<p>The CC398 tree (<xref ref-type="fig" rid="fig5">Figure 5</xref>) included 11 pig-environment MRSA and five MSSA genomes from C&#x00F3;rdoba (2019&#x2013;2022; two river, two bovine, one human colonization), analyzed alongside 98 public genomes representing livestock-associated (LA, n:68) and human-associated (HuA, n:30) clades (<xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>) and recently defined phylogroups (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>; <xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.1</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Argentinean pig&#x2013;environment CC398 MRSA strains in a global context. Midpoint-rooted maximum-likelihood phylogenetic tree based on core genome SNPs from 114 <italic>SA</italic> CC398 genomes, including 16 genomes from central Argentina generated in this study (11 pig&#x2013;environment MRSA and five MSSA isolates from C&#x00F3;rdoba, 2019&#x2013;2022: two river, two bovine, one human colonization) and 98 representative genomes from public databases that include both livestock- (LA, n: 68) and human-associated (HuA, n:30) clades (<xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>) and encompass the major international clades defined by <xref ref-type="bibr" rid="ref36">Fernandez et al. (2024)</xref>. The tree was constructed with 1,000 bootstrap replicates using <italic>S. aureus</italic> S0385/ST398 as the reference genome. Country of origin (color-coded circles at branch tips), host source, SCC<italic>mec</italic> type, <italic>spa</italic> type, MLST, presence/absence of the immune evasion cluster (IEC) and Tn<italic>916</italic> [<italic>tet</italic>(M)], and classification as LA or HuA are indicated. &#x002A;indicates that the genome was sequenced and analyzed in this study.</p>
</caption>
<graphic xlink:href="fmicb-16-1662779-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Phylogenetic tree showing genetic relationships among bacterial strains, labeled A to G3. Colored circles represent countries of origin and hosts, indicated by a legend. Columns on the right specify genetic and environmental characteristics. Countries are represented by colors like yellow for Argentina and red for Australia. Hosts categories include animal and human. Absence and presence of certain traits are marked by white and gray squares.</alt-text>
</graphic>
</fig>
<p>Core-SNP analysis confirmed LA clade markers (Tn916<sup>+</sup>, SCC<italic>mec</italic><sup>+</sup>/MRSA, IEC<sup>&#x2212;</sup>) (<xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>), with pig-environment MRSA and river MSSA isolates clustering within the LA clade (SCC<italic>mec</italic>Vc), while bovine/human MSSA isolates grouped into HuA (IEC<sup>+</sup>, Tn916<sup>&#x2212;</sup>). Core SNP phylogeny resolved the LA (clades A&#x2013;F) and HuA (G1&#x2013;G3) subgroups with 100% bootstrap support, consistent with (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). LA groups A&#x2013;F corresponded to clades C6 and C5: group A to C6/American-Asian-phylogroup (AAP), B to C6/European-phylogroup4 (EP4)/L5, C1 to C6/EP4/L1, C2 to C6/EP4/L3, D to C6/EP3, E to C6/EP5, and F to C5/EP2. HuA groups G1&#x2013;G3 matched clades C3, C1, and C2, respectively.</p>
<p>Argentine CC398 pig-environment MRSA grouped in clades A (spa-t571) and C (spa-t034). Clade A included six MRSA (ID2, n:2; ID9, n:4) and two river MSSA, grouping with C6/AAP reference strains (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). Four ST8814 isolates from ID9 clustered with a Santa Fe pig isolate (M8746/ST8814), also assigned to C6/AAP, with pairwise SNP distances of 59&#x2013;98 (mean: 75). River MSSA genomes (SA6486-1, SA6487-1) clustered with ID2 MRSA and pig isolates from China and South Korea. All clade A pig-environment MRSA isolates from C&#x00F3;rdoba (<italic>spa</italic>-t571 group) carried SCC<italic>mec</italic>Vc, most (ST8814) with the complete version, along with multiple ARGs mainly associated with MGEs as described in section 4.6.</p>
<p>Clade C comprised five <italic>spa</italic>-t034 MRSA (ID1, ID6, ID7) that grouped with C6/EP4 clade reference strains (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). Four isolates (ID1 and ID6) belonged to subgroup C1, clustering with a Buenos Aires pig-isolate (M8743; <xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>) and a Brazilian human isolate (C6/EP4), showing 96&#x2013;158 pairwise-SNP (mean: 128) relative to the Argentine pig-environment genomes. A German cattle isolate (C6/EP4/L1) also clustered in C1 (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). These four isolates shared resistance determinants typical of the EP4/L1 lineage: <italic>aadE&#x2013;spw&#x2013;lsa</italic>(E)&#x2013;<italic>lnu</italic>(B) (2/4), <italic>aadD</italic> (3/4), <italic>tet</italic>(K) (2/4), <italic>dfrG</italic>, <italic>erm</italic>(C), <italic>fexA</italic>, and mutations in <italic>grlA</italic>(S80Y) and <italic>gyrA</italic>(S84L). The fifth isolate (7,641, ID7) clustered in the C2 subgroup with EP4/L3 strains, showing 109&#x2013;224 SNPs to C6/EP4/L3 isolates from pigs (China) and a Danish. Its resistome included <italic>erm</italic>(C), <italic>spw&#x2013;lsa</italic>(E)&#x2013;<italic>lnu</italic>(B) (Tn560), <italic>tet</italic>(K), <italic>dfrG,</italic> and <italic>dfrK</italic> but lacked fluoroquinolone resistance mutations, consistent with EP4/L3 (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>).</p>
<p>Conversely, spa-t1451 MSSA isolates from bovine and human colonization grouped within HuA clade G3, alongside reference strains of clade C2/susceptible phylogroup (C2/SP) (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>), carried <italic>erm</italic>(T), and clustered with predominantly human-origin susceptible strains (<xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.1</xref>).</p>
</sec>
<sec id="sec20">
<label>3.8.2</label>
<title>Global phylogenetic reconstruction of ST9/CC1 LA-MRSA isolates</title>
<p>We analyzed 82&#x202F;SA CC1 genomes (79 ST9, 3 ST109, a SLV of ST9), including 11 pig&#x2013;environment MRSA, four C&#x00F3;rdoba isolates [2019&#x2013;2022: three human-derived MSSA (one nasal ST9, two infections: ST9 and ST109), one food-derived ST9-MRSA], and 67 public genomes from the Americas, Asia, Europe, and Australia (<xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.2</xref>). Public genomes covered ST9 clades defined by <xref ref-type="bibr" rid="ref127">Yu et al. (2021)</xref>, and also included clade C3-MSSA strains from North Carolina (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>).</p>
<p>Core SNP phylogeny (<xref ref-type="fig" rid="fig6">Figure 6</xref>; <xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.2</xref>) resolved ST9 into two major clades (I and II, 100% bootstrap), distinct from the three ST109 genomes. Clade I comprised three ancestral strains, two Taiwanese MRSA (SCC<italic>mec</italic>V) and one Australian MSSA. Clade II (96.2%, 76/79) was subdivided into IIA, IIB, and IIC clusters, consistent with <xref ref-type="bibr" rid="ref127">Yu et al. (2021)</xref>, supporting phylogenetic robustness. Clade IIA included four reference strains (<xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>) and two Cordoba human isolates (SA6650/joint-infection; SA6083/nasal-carrier), all MSSA with a low ARGs content. All clades I and IIA isolates were human-derived (one unknown), IEC<sup>+</sup>, and heterogeneous in <italic>spa-</italic>types.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Argentinean pig&#x2013;environment ST9 MRSA strains in a global context. Midpoint-rooted maximum-likelihood phylogenetic tree based on core genome SNPs from 82 <italic>S. aureus</italic> CC1 genomes, including 79 ST9 and three ST109 (a single-locus variant of ST9). The dataset comprises 15 genomes from central Argentina generated in this study [11 pig&#x2013;environment MRSA isolates and four additional genomes from C&#x00F3;rdoba (2019&#x2013;2022), including three human-derived MSSA isolates (two ST9 and one ST109) and one food-derived ST9-MRSA isolate], and 67 publicly available genomes representing phylogeographically distinct clades from the Americas, Europe, and Asia. The tree was constructed with 1,000 bootstrap replicates using <italic>S. aureus</italic> QD-CD9/ST9 as the reference genome. Annotations include country of origin (color-coded circles at branch tips), host source, SCC<italic>mec</italic> type, <italic>spa-</italic>type, MLST, presence/absence of the immune evasion cluster (IEC), SaPIpig1, and three chromosomal mutations associated with fluoroquinolone resistance: <italic>parC</italic> (S80F), <italic>gyrA</italic> (S84L), and <italic>gyrA</italic> (S84A). NT (<italic>spa</italic>-type): non-typeable or not assigned by RIDOM (<ext-link xlink:href="http://spaserver.ridom.de/" ext-link-type="uri">http://spaserver.ridom.de/</ext-link>); unassigned variants shown in different colors.</p>
</caption>
<graphic xlink:href="fmicb-16-1662779-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Phylogenetic tree showing the relationships between bacterial isolates from various countries, hosts, and identified by MLST and spa types. The tree is divided into clades and subclades, with color coding representing country, host, SCCmec type, and spa type. The tree features labels for Clade I and Clade II and subclades IIA, IIB, IIC, along with their subdivisions. Horizontal bars on the right indicate the presence or absence of certain genetic elements. A scale bar at the bottom represents genetic distance.</alt-text>
</graphic>
</fig>
<p>Clade IIB (n:30; 12 MSSA, 18 MRSA) included all pig-environment MRSA and isolates from the USA, Europe, and Colombia. It formed three subclades (100% bootstrap) with strong regional associations. Subclade IIB1 (n:4): MRSA from European pigs/food; three were clade IIb by <xref ref-type="bibr" rid="ref127">Yu et al. (2021)</xref>. All carried SaPIpig1, <italic>bla</italic>Z, SCC<italic>mec</italic>IV, mutations <italic>gyr</italic>A(S84L)/<italic>grl</italic>A(S80F); most were <italic>spa</italic>-t899. Subclade IIB2 (n:12), MSSA from the USA (n:11; human, pig, unknown) and Colombia (n:1). Most were <italic>spa</italic>-t337, four carried SaPIpig1 and two had triple fluoroquinolone-resistance mutations [<italic>grlA</italic>(S80F)/<italic>grlB</italic>(P585S)/<italic>gyrA</italic>(S84L)]. This group included C3 clade strains (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>) and three IIb references (<xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>). The ARGs distribution across IIB2, IIB3 and IIC clades are shown in <xref ref-type="supplementary-material" rid="SM8">Supplementary Table S2.4</xref>. Detected ARGs included: <italic>erm</italic>(A), <italic>erm</italic>(C), <italic>lnu</italic>(A), <italic>vga</italic>(A), <italic>tet</italic>(K)/(L)/(T), <italic>aadD</italic>, <italic>spc</italic>, <italic>aac(6&#x2032;)-aph(2&#x2033;)</italic>. Subclade IIB3 (n: 14): all Argentine MRSA, 11 pig-environment, one chicken-meat isolate, and two pig MRSA from Buenos Aires/San Luis (<xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>). All were MDR and carried <italic>blaZ, mecA, fexA</italic>, <italic>aadE</italic>, SaPIpig1, <italic>grl</italic>A(S80F)/<italic>gyr</italic>A(S84L) mutations, and belonged to <italic>spa</italic>-<italic>t</italic>16964 or variants not-assigned. Additional ARGs included (with variable frequencies): <italic>erm</italic>(C), <italic>vga</italic>(A), <italic>tet</italic>(K)/(L)/(T), <italic>aac</italic>(6&#x2032;)-aph(2&#x2033;), <italic>aad</italic>D, <italic>optr</italic>A. Compared to IIB2, IIB3 had higher prevalence of <italic>mecA</italic>, <italic>erm(C)</italic>, <italic>aadE</italic>, <italic>fexA</italic>, and fluoroquinolone-resistance <italic>grl</italic>A(S80F)/<italic>gyr</italic>A(S84L) mutations (<italic>p</italic>&#x202F;&#x2264;&#x202F;0.001).</p>
<p>Clade IIC (n.40, 18 MRSA, and 8 MSSA) comprised Chinese human and animal isolates, including IIc reference strains (<xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>). Nearly all were <italic>spa</italic>-t899 MRSA harboring SCC<italic>mec</italic>XII and SaPIpig1 and exhibited the highest ARGs burden.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec21">
<label>4</label>
<title>Discussion</title>
<p>Intensified livestock production and extensive antimicrobial use raise concerns about farm animals as reservoirs of antibiotic-resistant pathogens transmissible to humans (<xref ref-type="bibr" rid="ref98">Rhouma et al., 2022</xref>; <xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>; <xref ref-type="bibr" rid="ref18">Campana-Burguet et al., 2025</xref>). In this study, 80% of pig farms in central Argentina were MRSA-positive during February&#x2013;March 2022, particularly nursery and finishing units, with co-occurrence of major LA-MRSA lineages CC398 and CC1/ST9. All farms had used multiple antimicrobials in the preceding 6 months, underscoring the widespread antimicrobial pressure in these systems. Although our survey covered only 6% of all farms with more than 100 sows in C&#x00F3;rdoba (n: 166) (<xref ref-type="bibr" rid="ref102">SAGyP, 2023</xref>), Argentina&#x2019;s leading pig-producing province, the high MRSA prevalence aligns with reports from some European countries (Denmark, Netherland, Germany) where LA-MRSA rates reach 70&#x2013;80%, and contrasts with lower prevalence in Italy (38%), Canada (45%), Sri Lanka (10%), and Japan (8.3&#x2013;29.6%) (<xref ref-type="bibr" rid="ref111">Sieber et al., 2018</xref>; <xref ref-type="bibr" rid="ref60">Kalupahana et al., 2019</xref>; <xref ref-type="bibr" rid="ref33">EFSA and ECDC, 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>; <xref ref-type="bibr" rid="ref62">Kawanishi et al., 2024</xref>). Consistent with previous studies, the fattening and nursery stages were most frequently MRSA-positive, likely driven by increased animal movements and suboptimal hygiene and disinfection practices facilitating bacterial spread (<xref ref-type="bibr" rid="ref29">Crombe et al., 2013</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>). A prior Argentine study also reported substantial nasal colonization (29.7%) in fattening pigs (<xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>), supporting our findings.</p>
<p>The detection of MDR MRSA in 80% of farms underscores its zoonotic potential, particularly for farm workers with daily animal contact, who may be exposed occupationally while also serving as carriers and vectors to their households and communities (<xref ref-type="bibr" rid="ref125">Xin et al., 2022</xref>; <xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>). This risk is amplified by the environmental persistence of LA-MRSA in dust, manure, air, equipment, and improperly handled carcasses, which can also affect wildlife (<xref ref-type="bibr" rid="ref2">Abdullahi et al., 2021</xref>), facilitating spread beyond farm boundaries and raising concerns for community and food-chain exposure (<xref ref-type="bibr" rid="ref125">Xin et al., 2022</xref>; <xref ref-type="bibr" rid="ref33">EFSA and ECDC, 2023</xref>). These findings, consistent with Argentina&#x2019;s 2022 legislation promoting prudent antimicrobial use (enacted shortly after this study and providing a baseline for future evaluation), also reveal major surveillance gaps in livestock reservoirs, particularly pig farms, recognized hotspots for AMR transmission (<xref ref-type="bibr" rid="ref125">Xin et al., 2022</xref>), where systematic monitoring is still lacking. Strengthening LA-MRSA surveillance within a One Health framework is therefore critical, encompassing antimicrobial stewardship to reduce selection pressure, enhanced farm biosecurity, including proper management of effluents and carcasses to minimize environmental contamination, regulation of animal movements, and occupational protection for workers (<xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref105">Sawodny et al., 2025</xref>). Together, these considerations highlight the broader public health importance of our findings and underscore the need for coordinated One Health strategies across the animal&#x2013;human&#x2013;environment interface to mitigate zoonotic risk and curb AMR dissemination.</p>
<p>LA-MRSA strains in pigs show regional variation: CC398 predominates in Europe, the Americas, Australia, and recently Asia, whereas ST9/CC1 dominates in Asia (particularly China) and occurs sporadically elsewhere, also emerging as LA-MSSA in North America (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>; <xref ref-type="bibr" rid="ref91">Narongpun et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref62">Kawanishi et al., 2024</xref>; <xref ref-type="bibr" rid="ref18">Campana-Burguet et al., 2025</xref>). Although less studied and less widespread than CC398, ST9 has also been implicated in human infections, including cases without direct animal contact (<xref ref-type="bibr" rid="ref107">Schwarz et al., 2018</xref>; <xref ref-type="bibr" rid="ref22">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="ref7">Avbersek et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2023</xref>). In central Argentina, however, both IEC&#x00AF; LA-MRSA lineages were identified: CC398 (<italic>spa</italic>-t034, <italic>spa</italic>-t571; ST398 and the novel ST8814) in five farms, and CC1/ST9 (<italic>spa</italic>-t16964) in three farms, co-occurring in one farm. The unusual coexistence of both globally dominant LA-MRSA clones raises public health concerns due to their potential for interspecies transmission and resistance gene exchange, highlighting the need for molecular surveillance to track lineage evolution, AMR dissemination, and zoonotic risk, which is essential for timely One Health interventions.</p>
<p>In line with previous studies (<xref ref-type="bibr" rid="ref99">Richardson et al., 2018</xref>), phylogenetic analysis of MRSA isolates revealed lineage-based clustering: CC398 formed a distinct clade, while CC1/ST9 and CC8/ST72 grouped separately. Furthermore, the transmission analysis with core SNP showed intra-farm dissemination of ST398 and ST9 across pig-associated environments in Argentina&#x2019;s central region, which accounts for 24% of national pig production. While both clones spread within farms, likely between pens or animal categories, only ST9 exhibited inter-farm transmission, highlighting the pig-environment as a reservoir for LA-MRSA, consistent with previous reports (<xref ref-type="bibr" rid="ref7">Avbersek et al., 2021</xref>; <xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>; <xref ref-type="bibr" rid="ref46">Hu et al., 2023</xref>; <xref ref-type="bibr" rid="ref116">Talim et al., 2024</xref>). LA-MRSA contaminates soil, water, air, and crops, mainly via manure and airborne particles, facilitating long-distance spread (<xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref125">Xin et al., 2022</xref>). Inter-farm transmission may be driven by animal movements, environmental contamination (e.g., feed, air, water, equipment), human mobility (e.g., farm-workers, veterinarians), and lineage-specific adaptability (<xref ref-type="bibr" rid="ref29">Crombe et al., 2013</xref>; <xref ref-type="bibr" rid="ref65">Kruger-Haker et al., 2022</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>). The restriction of inter-farm spread to ST9 may reflect its greater environmental or host adaptability. Understanding these lineage-specific dynamics is crucial for designing targeted interventions at the animal&#x2013;environment&#x2013;human interface, and larger-scale studies including molecular analysis of MRSA are needed to test this hypothesis.</p>
<p>Notably, CC398 exhibits high diversity in <italic>spa</italic> types, STs, and SCC<italic>mec</italic> elements, reflecting ongoing microevolution and evolutionary plasticity (<xref ref-type="bibr" rid="ref85">Monecke et al., 2018</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>) as evidenced by the novel ST8814 identified in this study. Consistent with previous findings in pig-associated LA-MRSA (<xref ref-type="bibr" rid="ref7">Avbersek et al., 2021</xref>; <xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>), WGS revealed that most LA-MRSA isolates (CC398 and ST9) carried SCC<italic>mec</italic>Vc (5C2&#x0026;5), particularly the complete form in CC398MRSA, typically encoding <italic>mec</italic>A, <italic>tet</italic>(K), and <italic>czrC</italic>, conferring resistance to <italic>&#x03B2;</italic>-lactams, tetracycline, and zinc (a common feed additive), thereby supporting the role of co-selection in maintaining resistant strains (<xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>; <xref ref-type="bibr" rid="ref98">Rhouma et al., 2022</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>). We also detected rare SCC<italic>mec</italic> variants: a Vc-like type with an additional <italic>ccrA1B1</italic> complex and an IIIA-like type containing only the 3A component. Such variants, sporadically reported in CC398 from livestock or clinical isolates, underscore the remarkable plasticity of SCC<italic>mec</italic> (<xref ref-type="bibr" rid="ref93">Nemeghaire et al., 2014</xref>; <xref ref-type="bibr" rid="ref95">Peeters et al., 2015</xref>; <xref ref-type="bibr" rid="ref85">Monecke et al., 2018</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>; <xref ref-type="bibr" rid="ref91">Narongpun et al., 2023</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). Importantly, SCC<italic>mec</italic> excision and potential horizontal transfer raise concerns about dissemination to more virulent or clinically relevant <italic>S. aureus</italic> lineages, representing an emerging public health threat (<xref ref-type="bibr" rid="ref48">Huber et al., 2022</xref>; <xref ref-type="bibr" rid="ref85">Monecke et al., 2018</xref>). Continued surveillance and research are essential to elucidate the selective pressures driving SCC<italic>mec</italic> diversification and its implications for LA-MRSA control.</p>
<p>Consistent with previous reports (<xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref33">EFSA and ECDC, 2023</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>), we detected a community-associated MRSA lineage (CC8/ST72-t3092-SCC<italic>mec</italic>IVa, IEC<sup>+</sup>) in one farm. Sporadic detection of CA- and HA-MRSA clones primarily associated with humans (e.g., ST5, ST8, ST22, ST30, ST45) in pig-associated environments likely reflects human-to-animal transmission, with potential subsequent host adaptation through MGEs, mutations, or recombination events (<xref ref-type="bibr" rid="ref99">Richardson et al., 2018</xref>; <xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>). Thus, MRSA distribution in pigs is shaped not only by livestock factors but also by regional human clones (<xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>), as illustrated by ST93 dominating in Australia (<xref ref-type="bibr" rid="ref103">Sahibzada et al., 2017</xref>), USA100 in Canada (<xref ref-type="bibr" rid="ref92">Narvaez-Bravo et al., 2016</xref>), and an animal-adapted ST5-IV-IEC&#x00AF; variant in Japan (<xref ref-type="bibr" rid="ref59">Kaku et al., 2022</xref>; <xref ref-type="bibr" rid="ref62">Kawanishi et al., 2024</xref>). In our study, ST72/CC8 was detected on one farm; although still minor in Argentina (<xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>), it is increasing in Chile (<xref ref-type="bibr" rid="ref80">Martinez et al., 2023</xref>) and is the predominant CA-MRSA in South Korea, where it circulates among humans, pigs, and the environment (<xref ref-type="bibr" rid="ref86">Moon et al., 2019</xref>). WGS revealed a novel &#x03BD;Sa&#x03B1; variant (type X-like) in ST72 that, similar to other MGEs carrying ARGs and virulence genes in SA (<xref ref-type="bibr" rid="ref8">Ba et al., 2023</xref>), may facilitate persistence across hosts and environments (<xref ref-type="bibr" rid="ref87">Moon et al., 2016</xref>). These findings underscore the need for genomic surveillance to monitor the adaptation and potential establishment of MRSA ST72/CC8 in pig farms.</p>
<p>LA-MRSA strains from pigs show resistance to multiple antibiotics commonly used in animal production and human medicine, primarily mediated by MGEs (<xref ref-type="bibr" rid="ref81">Matuszewska et al., 2022</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref116">Talim et al., 2024</xref>). In this study, all pig-environment MRSA isolates displayed MDR phenotypes, with LA-MRSA showing the broadest profiles, spanning 4&#x2013;7 antimicrobial classes; over 50% were resistant to six or more, including &#x03B2;-lactams, tetracyclines, phenicols, fluoroquinolones, macrolide-lincosamides, trimethoprim/sulfamethoxazole, and aminoglycosides. In contrast, the two CA-MRSA ST72/CC8 strains exhibited narrower resistance spectra, although broader than those of CA-MRSA lineages circulating in humans in Argentina (<xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>). Extensive antimicrobial use on these farms and prolonged environmental persistence of some of these, particularly tetracyclines, likely drove the emergence and spread of MDR strains (<xref ref-type="bibr" rid="ref98">Rhouma et al., 2022</xref>). This represents a significant public health concern, as pig-to-human transmission of LA-MRSA, with broader resistance profiles than HA- or CA-MRSA in Argentina (<xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>), could further limit treatment options.</p>
<p>Resistance profiles aligned with characteristic ARG patterns of pig-derived SA (<xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>; <xref ref-type="bibr" rid="ref91">Narongpun et al., 2023</xref>; <xref ref-type="bibr" rid="ref116">Talim et al., 2024</xref>; <xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>). These included both commonly reported ARGs in animal-associated staphylococci (e.g., <italic>tet</italic>, <italic>erm</italic>, <italic>blaZ</italic>, <italic>mecA</italic>) and less common or novel determinants such as those conferring resistance to aminocyclitols (<italic>spc-v</italic>, <italic>spw</italic>), fosfomycin (<italic>fosB</italic>), lincosamides&#x2013;pleuromutilins&#x2013;streptogramin A [<italic>vga</italic>(A), <italic>lsa</italic>(E)], trimethoprim (<italic>dfrK</italic>), and phenicols&#x2013;oxazolidinones (<italic>optrA</italic>). Many were linked to MGEs, primarily transposons, small plasmids, or the <italic>spw</italic>-cluster of probable enterococcal origin (<xref ref-type="bibr" rid="ref107">Schwarz et al., 2018</xref>; <xref ref-type="bibr" rid="ref39">Fessler et al., 2018c</xref>; <xref ref-type="bibr" rid="ref51">Ji et al., 2022</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>). Co-occurrence of multiple ARGs conferring resistance to the same antimicrobial class was frequent, likely due to their co-localization on MGEs (<xref ref-type="bibr" rid="ref107">Schwarz et al., 2018</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>). In addition to <italic>mecA</italic> and <italic>blaZ</italic>, shared resistance elements across lineages included <italic>erm</italic>(C), <italic>fexA</italic>, <italic>optrA</italic>, and the <italic>gyrA</italic>(S84L) mutation, all previously reported in LA-MRSA (<xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). The plasmid-borne <italic>erm</italic>(C), the most common MLS_B gene in staphylococci, was located on a pDLK1-like RepL-type plasmid in both lineages, supporting horizontal transfer. Such plasmids facilitate <italic>erm</italic>(C) dissemination among staphylococci and other Firmicutes, likely driven by macrolide use (e.g., tylosin) in livestock (<xref ref-type="bibr" rid="ref68">Lanza et al., 2015</xref>; <xref ref-type="bibr" rid="ref37">Fessler et al., 2018a</xref>, <xref ref-type="bibr" rid="ref39">2018c</xref>). The <italic>fexA</italic> gene, encoding an MFS efflux pump for chloramphenicol/florfenicol, was carried on chromosomal Tn<italic>558</italic>, likely reflecting selective pressure from florfenicol use in food animals (<xref ref-type="bibr" rid="ref98">Rhouma et al., 2022</xref>).</p>
<p>The <italic>optrA</italic> gene, which confers transferable resistance to phenicols and oxazolidinones, is concerning as it may compromise linezolid, a last-resort antibiotic (<xref ref-type="bibr" rid="ref108">Schwarz et al., 2021</xref>; <xref ref-type="bibr" rid="ref118">Timmermans et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>). In Argentina, <italic>optrA</italic>-mediated resistance was recently reported in clinical <italic>E. faecalis</italic> (<xref ref-type="bibr" rid="ref41">Gagetti et al., 2023a</xref>). We detected <italic>optrA</italic> in six isolates (five ST398 from ID1, one ST9 from ID7), all resistant to chloramphenicol with borderline linezolid MICs (2&#x2013;4&#x202F;&#x03BC;g/mL). WGS revealed a novel <italic>OptrA</italic> variant (<italic>OptrA</italic>/FDKFP_SA7603-7633), not previously described (<xref ref-type="bibr" rid="ref88">Morroni et al., 2017</xref>; <xref ref-type="bibr" rid="ref108">Schwarz et al., 2021</xref>), in both lineages, suggesting mobilization via MGEs. Variant-specific mutations appeared to variably influence linezolid MICs, suggesting that resistance may depend not only on <italic>OptrA</italic> but also on additional, unidentified factors (<xref ref-type="bibr" rid="ref129">Zhu et al., 2020</xref>; <xref ref-type="bibr" rid="ref108">Schwarz et al., 2021</xref>). Thus, the clinical significance of <italic>optrA</italic> in <italic>S. aureus</italic> with MICs near the susceptibility breakpoint remains uncertain. <italic>optrA</italic> was found on short contigs (99.6% identity to the <italic>E. faecalis</italic> pL14 plasmid), limiting contextual resolution. Notably, only the <italic>optrA</italic>-positive isolates carried the plasmid-borne bleO gene and an Inc18-type plasmid. Similar <italic>optrA</italic> contexts, sometimes co-localized with <italic>cfr</italic>, have been reported on plasmids in <italic>S. sciuri, E. casseliflavus</italic>, and LA-MRSA (ST9, ST398) from humans and animals, particularly in China (<xref ref-type="bibr" rid="ref108">Schwarz et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>; <xref ref-type="bibr" rid="ref32">Dos Santos et al., 2023</xref>). Consequently, our results suggest that <italic>optrA</italic> is MGE-associated in both LA-MRSA lineages studied, though hybrid assemblies are needed for confirmation. Our study provides the first evidence of <italic>optrA</italic>-positive <italic>S. aureus</italic> in Argentina, highlighting pig farms as potential reservoirs. Further research is required to elucidate its clinical relevance, zoonotic and environmental dissemination, genetic context, and detection strategies, ultimately defining its public health impact.</p>
<p>In line with previous studies (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>), CC398 and ST9 displayed distinct AMR profiles and lineage-specific ARG repertoires and contexts, reflecting intra-lineage homogeneity and differential adaptation to antimicrobial use (<xref ref-type="bibr" rid="ref38">Fessler et al., 2018b</xref>; <xref ref-type="bibr" rid="ref52">Jiang et al., 2019</xref>; <xref ref-type="bibr" rid="ref91">Narongpun et al., 2023</xref>). CC398, particularly the novel ST8814, exhibited broader resistance spectra (6&#x2013;7 classes), with higher rates to minocycline [<italic>tet</italic>(M)], trimethoprim-sulfamethoxazole (<italic>dfrG</italic>), and gentamicin (<italic>aacA-aphD</italic>), linked to a greater number of plasmid- or transposon-borne ARGs promoting horizontal transfer and co-selection (<xref ref-type="bibr" rid="ref37">Fessler et al., 2018a</xref>). Enriched ARGs included <italic>erm</italic>(T), <italic>lnu</italic>(B)-<italic>lsa</italic>(E), <italic>tet</italic>(M)/(K), <italic>aadD</italic>, <italic>aac(6&#x2032;)-aph(2&#x2033;)</italic>, <italic>spw</italic>, <italic>dfrG/K</italic>, and <italic>grlA</italic>(S80Y), many within MGEs such as the enterococcal-derived <italic>aadE</italic>-<italic>spw</italic>-<italic>lsa</italic>(E)-<italic>lnu</italic>(B) MDR cluster, reported in CC398 and ST9 from pigs and humans in Europe and Asia (<xref ref-type="bibr" rid="ref124">Wendlandt et al., 2013</xref>; <xref ref-type="bibr" rid="ref123">Wendlandt et al., 2014</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>). This cluster was plasmid-borne in most isolates and chromosomally integrated in one <italic>spa</italic>-t034 strain via Tn<italic>560</italic>, a Tn<italic>554</italic>-family transposon described in Chinese porcine ST398 LA-MRSA (<xref ref-type="bibr" rid="ref51">Ji et al., 2022</xref>; <xref ref-type="bibr" rid="ref66">Kruger-Haker et al., 2023</xref>). All <italic>spa</italic>-t571 strains exclusively carried <italic>aac(6&#x2032;)-aph(2&#x2033;)</italic> on plasmid-borne Tn<italic>4001</italic>, <italic>erm</italic>(T) on a pKKS25-like plasmid, plasmid-borne <italic>dfrG</italic>, and an additional plasmid-borne <italic>blaZ</italic> operon copy. The pKKS25 plasmid, first identified in a porcine ST398 strain from Germany (<xref ref-type="bibr" rid="ref58">Kadlec and Schwarz, 2010</xref>), harbors <italic>erm</italic>(T), <italic>dfrK</italic>, and <italic>tet</italic>(L), flanked by ISSau<italic>10</italic>, key to ARGs dissemination. Intensive use of <italic>&#x03B2;</italic>-lactams, tetracyclines, aminoglycosides, and macrolides in local pig production likely drove ARGs selection and MGE-mediated co-selection in CC398, especially in the <italic>spa</italic>-t571 group. Consistently, <italic>fosB</italic> subtypes, common in staphylococci (<xref ref-type="bibr" rid="ref40">Fu et al., 2016</xref>; <xref ref-type="bibr" rid="ref46">Hu et al., 2023</xref>), were detected in two farms with prior fosfomycin use: <italic>fosB6</italic> in <italic>spa</italic>-t571 strains closely-related from farm ID2, suggesting within-farm transmission, and <italic>fosB3</italic> in <italic>spa</italic>-t034 strains from farm ID6, likely acquired via plasmid transfer or interspecies exchange with enterococci under selective pressure. Similar findings in Chinese duck farms (<xref ref-type="bibr" rid="ref46">Hu et al., 2023</xref>) underscore farms, as reservoirs of <italic>fosB</italic>-positive MRSA.</p>
<p>In contrast, the plasmids pVGA/[vga(A)] and pG38-like, and the <italic>grl</italic>A(S80F) fluoroquinolone-resistance mutation, were restricted to ST9 MRSA. pG38-like, carrying <italic>aadD</italic>, <italic>tet</italic>(T), and <italic>tet</italic>(L), confers tetracycline-resistance via ribosomal protection/[<italic>tet</italic>(T)] and efflux/[<italic>tet</italic>(L)], is rare in SA, and likely also reflects selection pressure from intensive tetracycline use (<xref ref-type="bibr" rid="ref38">Fessler et al., 2018b</xref>; <xref ref-type="bibr" rid="ref52">Jiang et al., 2019</xref>; <xref ref-type="bibr" rid="ref91">Narongpun et al., 2023</xref>).</p>
<p>Collectively, these findings support the hypothesis that CC398, likely due to the absence of a type I restriction-modification system in &#x03BD;Sa&#x03B2;, is more prone to acquiring exogenous ARGs, enhancing its adaptability (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>; <xref ref-type="bibr" rid="ref65">Kruger-Haker et al., 2022</xref>).</p>
<p>Overall, pig-environment LA-MRSA CC398 and ST9/CC1 isolates showed similar virulence profiles, lacking IEC genes (<italic>sak, chp, scn</italic>), consistent with animal adaptation (<xref ref-type="bibr" rid="ref121">Wang et al., 2023</xref>). Although they did not carry major virulence factors such as Panton-Valentine leukocidin or toxic-shock-syndrome toxin-1, both harbored genes linked to adhesion, colonization, biofilm formation, and diverse infections. They also contained multiple hemolysins and the SaPIpig1 element, a SaPIbov4 variant within &#x03BD;Sa&#x03B1; type V, encoding <italic>vwb</italic> (von Willebrand factor-binding protein), which promotes plasma clotting in pigs, sheep, and cattle, enhancing colonization in pigs and its transmission between individuals (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>). SaPIpig1 also carries <italic>scn</italic> (staphylococcal-complement-inhibitor), potentially facilitating human colonization (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>), underscoring its role in host adaptation and dissemination of ST398 and ST9 (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). Lineage-specific virulence traits were identified: CC1/ST9 strains carried additional <italic>sel</italic> genes (<italic>sel27</italic> within &#x03BD;Sa&#x03B2; type XIII with the <italic>egc</italic> cluster, as well as <italic>selv</italic> and <italic>sely</italic>), which together with MDR may increase pathogenic potential and foodborne risk (<xref ref-type="bibr" rid="ref109">Schwendimann et al., 2021</xref>; <xref ref-type="bibr" rid="ref64">Klaui et al., 2019</xref>). In contrast, CC398 strains harbored <italic>cna</italic>, encoding a collagen-binding protein linked to osteomyelitis and arthritis (<xref ref-type="bibr" rid="ref78">Madani et al., 2017</xref>), and a <italic>hysA</italic> homolog within &#x03BD;Sa&#x03B2; type V, previously detected in a human LA-MRSA ST398 endocarditis case and associated with greater virulence than CC1/ST9 (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>). Collectively, these features highlight the invasive potential of pig-associated LA-MRSA and their public health threat, particularly for immunocompromised individuals or those with comorbidities (<xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>; <xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>; <xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>).</p>
<p>The whole-genome phylogenetic analysis of pig-environment CC398 isolates from Argentina, placed in a global framework, revealed their distribution across two major clades: A (<italic>spa</italic>-t571) and C (<italic>spa</italic>-t034). Both belonged to the LA clade and clustered with C6 clade reference strains (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>), a group driving CC398 dissemination in Europe through the European MRSA phylogroups EP3, EP4, and EP5, and also reported in Asia and the Americas as part of the American&#x2013;Asian phylogroup (AAP). Within clade A (<italic>spa</italic>-t571), MRSA from C&#x00F3;rdoba (farms ID2, ID9), including the novel ST8814, clustered with MSSA strains from a local river and previously identified C6/AAP strains (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). This group also included a pig isolate from Santa Fe province (<xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>) and strains from China and South Korea (<xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>). These <italic>spa</italic>-t571 MRSA formed a distinct lineage, separated by over 3,600 SNPs from other clades, consistent with earlier studies (<xref ref-type="bibr" rid="ref73">Li et al., 2022</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). The AAP phylogroup, predominantly <italic>spa</italic>-t571, includes both MSSA and MRSA primarily from pigs and humans in Asia and the Americas. These strains lack IEC and <italic>pvl</italic> but carry multiple MGE-associated ARGs, enhancing bloodstream survival, host adaptation, and dissemination (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>; <xref ref-type="bibr" rid="ref8">Ba et al., 2023</xref>). The ARG profile of Argentina <italic>spa</italic>-t571 isolates aligned with that of the AAP phylogroup, including Tn<italic>558</italic> carrying the florfenicol-chloramphenicol exporter (<italic>fex</italic>A), predominantly found in AAP strains (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). While most AAP strains harbor SaPIpig2 within &#x03BD;Sa&#x03B1;, one U. S. MSSA isolate carries SaPIpig1 (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>), both variants of SaPIbov4. Strikingly, all Argentine CC398 isolates carried SaPIpig1, underscoring complex evolutionary dynamics and local adaptation.</p>
<p>Five pig-environment MRSA <italic>spa</italic>-t034 isolates from C&#x00F3;rdoba clustered within clade C, specifically with C6/EP4 phylogroup representative strains (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). EP4 comprises Danish pig lineages L1&#x2013;L4 and the Italian L5 (<italic>spa</italic>-t899), which have spread beyond their original region and exhibit diverse ARG profiles. Four isolates (farms ID6, ID1) grouped within subgroup C1, alongside a Buenos Aires pig isolate (<xref ref-type="bibr" rid="ref42">Gagetti et al., 2023b</xref>), a Brazilian human LA-MRSA, and a German cattle strain (C6/EP4/L1) (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). These carried L1-typical ARG profiles, including <italic>optr</italic>A and SCC<italic>mec</italic> types Vc, Vc-like A1B1, and IIIA-like. In contrast, one isolate from farm ID7 clustered in subgroup C2 with C6/EP4/L3 strains and carried an ARG profile consistent with L3. Thus, <italic>spa</italic>-t034 Argentine pig-environment MRSA showed close relatedness to EP4 lineages L1 and L3, which include isolates detected in pigs and humans (some IEC<sup>+</sup>) in Denmark, Hungary, and Germany, in pigs from China (L3 only), and also reported in Brazil (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>).</p>
<p>These findings reveal multiple introductions and circulation of international CC398 phylogroups in Argentine pig farms, including C6/AAP and C6/EP4. Local isolates cluster with strains from Asia, Europe, and the Americas, highlighting the global spread of CC398, likely facilitated by animal trade, and the establishment of foreign clones with zoonotic potential. Although Argentina has largely local pig production, live pig imports, mainly from Brazil (91.1% in 2022) (<xref ref-type="bibr" rid="ref102">SAGyP, 2023</xref>), may have introduced AAP and EP4, both reported in Brazil. Importantly, these results underscore the need to implement or reinforce strategies to prevent LA-MRSA transmission, particularly via animal trade (<xref ref-type="bibr" rid="ref105">Sawodny et al., 2025</xref>). On the other hand, detection of MSSA CC398 in river water from the same region, assigned to the AAP phylogroup, further suggests environmental reservoirs and possible local MSSA-to-MRSA evolution. Broader SA genomic studies from farm workers, animals, and environments are warranted to explore these dynamics.</p>
<p>Contemporaneous MSSA CC398 isolates from humans and cattle in C&#x00F3;rdoba clustered within the HuA clade (subgroup G3), corresponding to the C2/susceptible phylogroup (C2/SP) described by <xref ref-type="bibr" rid="ref36">Fernandez et al. (2024)</xref>. The subgroup G3 isolates, IEC<sup>+</sup> and predominantly spa-t571 and spa-t1451, carried <italic>erm</italic>(T) (<xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>) and shared features with Argentina&#x2019;s main MSSA clone (MSSA398-<italic>erm</italic>(T)-<italic>spa</italic>-t1451) (<xref ref-type="bibr" rid="ref31">Di Gregorio et al., 2023</xref>; <xref ref-type="bibr" rid="ref10">Barcudi et al., 2024</xref>). The C2/SP phylogroup is widespread in human colonization and infections across China, Europe, and the Americas, often in individuals without livestock contact (<xref ref-type="bibr" rid="ref15">Bonnet et al., 2018</xref>; <xref ref-type="bibr" rid="ref122">Wardyn et al., 2018</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>), and has also been reported in cattle, pigs, and cats (<xref ref-type="bibr" rid="ref117">Tegegne et al., 2022</xref>; <xref ref-type="bibr" rid="ref36">Fernandez et al., 2024</xref>). Our findings reveal co-circulation of distinct MSSA CC398 lineages, C6/AAP (<italic>spa</italic>-t571) and C2/SP (<italic>spa-</italic>t571, <italic>spa</italic>-t1451), in the same region, each with distinct ARGs profiles and molecular traits. This diversity may reflect differences in host adaptation and transmission, underscoring the need to investigate MSSA CC398 under a One Health framework.</p>
<p>Similar to CC398, diverse SC<italic>Cmec</italic> elements (e.g., types III, IV, V, IX, XI, XII/XII-like, with multiple <italic>ccr</italic> complexes, and non-typeable variants) have been reported within CC1/ST9 across studies. Their distribution appears region-specific: ST9 from Europe often carry SCC<italic>mec</italic>IV, while those from China typically harbor SCC<italic>mec</italic>XII (<xref ref-type="bibr" rid="ref24">Chuang and Huang, 2015</xref>; <xref ref-type="bibr" rid="ref53">Jiang et al., 2021</xref>; <xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2023</xref>).</p>
<p>Global phylogenetic analysis of Argentine ST9/CC1 pig-environment isolates confirmed the strong regional clustering of LA-ST9 lineages (<xref ref-type="bibr" rid="ref53">Jiang et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref50">Ji et al., 2021</xref>). Ninety-six percent of ST9 genomes clustered within clade II, comprising human-associated MSSA (IIA, IEC<sup>+</sup>) and livestock-associated clusters IIB and IIC (IEC&#x00AF;). The two antimicrobial-susceptible ST9 MSSA human isolates from this study grouped within the human-associated IIA clade, while the ST9 MRSA strains from pig environments and food clustered within the LA clade (IIB3). Clade IIB split into three geographically-associated subclades: IIB1 (European MRSA) (<xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>), IIB2 (North American MDR-MSSA) (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>), and IIB3, composed exclusively of Argentine MRSA isolates. Bidirectional pig&#x2013;human transmission of clades IIB2 and IIC, with potential for community spread, has been reported (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>), supporting the zoonotic potential of clade IIB3. IIB3 isolates, carried <italic>spa</italic>-t16964 or related types, SaPIpig1, and exhibited an MDR profile enriched, compared to IIB2, for <italic>erm</italic>(C), <italic>aad</italic>E, <italic>fexA</italic>, and fruorquinolone-resistance mutations <italic>grlA</italic>S80F and <italic>gyrA</italic> S84L. Notably, <italic>fexA</italic> on Tn558, <italic>aadE</italic>, and MRSA (SCC<italic>mec</italic>V) status were exclusive to IIB3, a pattern also observed in the Chinese IIC lineage, which harbors the highest ARG burden (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>). The <italic>spa</italic>-t16964 detected here, also reported in MSSA from Germany (Ridom S<italic>pa</italic>Server), differs by one repeat from <italic>spa</italic>-t1430, previously associated with ST9 MSSA and MRSA from pigs, humans, and meat (<xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>; <xref ref-type="bibr" rid="ref3">Abdullahi et al., 2023</xref>).</p>
<p>Host adaptation of <italic>S. aureus</italic> after human-to-animal jumps has been associated with genes or MGEs acquisition and recombination enhancing transmission, colonization, and virulence (<xref ref-type="bibr" rid="ref76">Lowder et al., 2009</xref>; <xref ref-type="bibr" rid="ref99">Richardson et al., 2018</xref>; <xref ref-type="bibr" rid="ref89">Murray et al., 2017</xref>). The clustering of two Argentinean human MSSA ST9 IEC<sup>+</sup> isolates within clade IIA, which includes IEC<sup>+</sup> human MSSA of diverse <italic>spa</italic>-types from several countries and corresponds to the ancestral clades described by <xref ref-type="bibr" rid="ref127">Yu et al. (2021)</xref>, supports a human MSSA origin of regional ST9 LA-MRSA clones. This host shift likely involved loss of human-specific virulence factors (IEC), acquisition animal-associated factors such as <italic>vwb</italic> on SaPIpig1 (a SaPIbov4-like element) within the &#x03BD;Sa&#x03B1; island, and subsequent antimicrobial-driven evolution through the acquisition of resistance determinants (including SCC<italic>mec</italic> types) across <italic>spa</italic> types. Our data further suggest that IIB2 and IIB3 diverged from a common ancestor, possibly in the Americas, and evolved as independent, geographically segregated clades distinct from the dominant Asian IIC, reflecting region-specific antimicrobial selection (<xref ref-type="bibr" rid="ref97">Randad et al., 2021</xref>; <xref ref-type="bibr" rid="ref127">Yu et al., 2021</xref>).</p>
<p>Notably, the co-circulation of two ST9 sublineages in Argentina, non-MDR MSSA in humans and MDR-MRSA in pigs, also demonstrated here, highlights the importance of molecular surveillance to monitor interspecies transmission and ongoing genomic adaptation of this emerging LA-MRSA clone.</p>
<p>Finally, the MDR profile of this regional ST9 LA-MRSA lineage (clade IIB3), combined with its high farm-to-farm transmissibility, detection in ready-to-eat chicken, and co-circulation with international CC398 phylogroups, underscores the need to identify and implement the most effective combination of targeted interventions, including enhanced biosecurity, reduced antimicrobial use, routine pig screening, environmental decontamination, and controlled animal movement, to control LA-MRSA spread in this region and prevent potential zoonotic spillover within a One Health framework (<xref ref-type="bibr" rid="ref61">Kasela et al., 2023</xref>; <xref ref-type="bibr" rid="ref63">Khairullah et al., 2023</xref>; <xref ref-type="bibr" rid="ref105">Sawodny et al., 2025</xref>).</p>
<p>In conclusion, this study reveals a high burden of LA-MRSA in pig farms environments in central Argentina, with 80% of farms testing positive, particularly in nursery and finishing units, during early 2022. Antimicrobial use was widespread, with most farms reporting the use of more than seven drug classes and up to 18 different antimicrobials in the previous 6 months. Molecular characterization identified the co-circulation of two dominant multidrug-resistant lineages: CC398 (ST398 and the novel ST8814) and CC1/ST9, each associated with SCC<italic>mec</italic> Vc variants and pig-adapted resistance profiles. Notably, this is the first report of the phenicol-oxazolidinone resistance gene <italic>optrA</italic> in SA in Argentina, detected in both ST398 and ST9 MRSA isolates. WGS revealed a novel <italic>optrA</italic> variant (<italic>OptrA</italic>/FDKFP_SA7603-7633), likely linked to a MGE, raising concerns about unrecognized reservoirs and potential environmental dissemination. Phylogenetic analysis in a global context showed the emergence of a unique regional ST9 lineage in Argentina, composed exclusively of MRSA from pigs, pig environments, and food, with evidence of intra- and inter-farm transmission. In contrast, CC398 strains clustered within internationally recognized subgroups (C6/AAP and C6/EP4), suggesting multiple introductions and successful local establishment.</p>
<p>This study&#x2019;s strengths include its prospective design, the comprehensive molecular and genomic characterization of pig&#x2013;environment MRSA isolates and the identification of a novel <italic>optr</italic>A variant. The integration of recent on-farm antimicrobial use data adds valuable context. Importantly, to our knowledge, this is the first study to estimate the regional prevalence of MRSA-positive pig farms in central Argentina, a major swine-producing area with previously limited data. It also provides insights into LA-MRSA transmission dynamics within and between farms and situates Argentinean pig&#x2013;environment LA-MRSA lineages within a global phylogenetic framework.</p>
<p>This work has several limitations. First, the small farms sample size (n: 10) limits broader extrapolation. Nonetheless, our findings are supported by a previous study reporting 29.7% nasal MRSA colonization in pigs from farms in three other provinces, with four sequenced strains clustering with those from this study. Second, analyzing only 1&#x2013;2 MRSA colonies per environmental sample may have underestimated farm-level MRSA diversity and missed co-occurrence of ST398 and ST9. Third, the exclusive use of environmental samples likely led to under detection; including pig nasal samples could have increased the number of positive farms. However, the high proportion of MRSA-positive farms among those sampled highlights the relevance of our findings. Although the detected strains carry genetic features linked to human colonization and infection, no human samples were included to assess zoonotic transmission. Finally, hybrid sequencing will be required to fully characterize the <italic>optrA</italic> genetic context and SCC<italic>mec</italic> variants through complete genome assemblies.</p>
<p>This genomic and molecular analysis of pig&#x2013;environment MRSA in central Argentina expands current knowledge by highlighting the pig environment as an emerging reservoir of LA-MRSA and ARM. Given their zoonotic potential and capacity for dissemination across farms and human populations, strengthening One Health surveillance and implementing integrated biosecurity and control measures are essential to limit LA-MRSA spread and the AMR dissemination. Addressing MRSA in pig farming is therefore not only an animal health issue but also critical for protecting public health and ecological integrity.</p>
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<sec sec-type="data-availability" id="sec22">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>. Sequence reads of <italic>S. aureus</italic> strains from this study are available from EMBL-EBI Study PRJEB88131.</p>
</sec>
<sec sec-type="author-contributions" id="sec23">
<title>Author contributions</title>
<p>MG: Data curation, Validation, Conceptualization, Writing &#x2013; review &#x0026; editing, Methodology, Formal analysis, Software, Visualization, Investigation. JP: Data curation, Validation, Methodology, Conceptualization, Resources, Writing &#x2013; review &#x0026; editing, Visualization, Investigation, Formal analysis. EB: Formal analysis, Writing &#x2013; review &#x0026; editing, Methodology, Investigation, Validation. ES: Validation, Data curation, Conceptualization, Visualization, Formal analysis, Writing &#x2013; review &#x0026; editing, Software, Investigation. GS: Project administration, Investigation, Writing &#x2013; review &#x0026; editing, Resources. KJ: Project administration, Investigation, Resources, Writing &#x2013; review &#x0026; editing. GM: Project administration, Resources, Investigation, Writing &#x2013; review &#x0026; editing. TP: Resources, Writing &#x2013; review &#x0026; editing, Project administration, Investigation. MC: Writing &#x2013; review &#x0026; editing, Investigation. NP: Investigation, Writing &#x2013; review &#x0026; editing. RG: Investigation, Writing &#x2013; review &#x0026; editing, Methodology. AD: Writing &#x2013; review &#x0026; editing, Investigation. PG: Investigation, Writing &#x2013; review &#x0026; editing. FP: Investigation, Writing &#x2013; review &#x0026; editing. RT: Investigation, Writing &#x2013; review &#x0026; editing. DM: Writing &#x2013; review &#x0026; editing, Investigation, Resources. CeB: Resources, Writing &#x2013; review &#x0026; editing, Investigation. CaB: Resources, Investigation, Writing &#x2013; review &#x0026; editing. CP: Resources, Investigation, Writing &#x2013; review &#x0026; editing. DF: Software, Writing &#x2013; review &#x0026; editing. LD: Resources, Investigation, Writing &#x2013; review &#x0026; editing. JB: Resources, Writing &#x2013; review &#x0026; editing, Investigation. MA: Resources, Writing &#x2013; review &#x0026; editing, Investigation. AC: Investigation, Writing &#x2013; review &#x0026; editing, Resources. AIC: Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing, Resources. MZ: Resources, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &#x0026; editing. CS: Data curation, Writing &#x2013; review &#x0026; editing, Project administration, Formal analysis, Writing &#x2013; original draft, Methodology, Conceptualization, Validation, Investigation, Visualization, Supervision, Resources, Funding acquisition.</p>
</sec>
<sec sec-type="funding-information" id="sec24">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Council for Scientific Research and Technology of Argentina (CONICET-PIP-2022), the National Agency for Scientific and Technological Promotion (ANPCyT&#x2013;PICT 2020&#x2013;02171), and the Secretariat of Science and Technology&#x2013;National University of C&#x00F3;rdoba (PIDTA 2023 SECyT-UNC) to CS, as well as funds from internal support Henry Ford Hospital, Detroit, MI, United States provided by MZ. MG is a fellow recipient of ANPCyT; EB and MC are fellow recipients of CONICET. JP, CP, DF, JB, MA, and CS are career investigator members of CONICET.</p>
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<ack>
<p>We thank UNC Superc&#x00F3;mputo (CCAD), Universidad Nacional de C&#x00F3;rdoba (<ext-link xlink:href="https://supercomputo.unc.edu.ar" ext-link-type="uri">https://supercomputo.unc.edu.ar</ext-link>), which are part of SNCAD, Argentina, for providing access to computational resources.</p>
</ack>
<sec sec-type="COI-statement" id="sec25">
<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="sec99">
<title>Correction note</title>
<p>This article has been corrected with minor changes. These changes do not impact the scientific content of the article.</p>
</sec>
<sec sec-type="ai-statement" id="sec26">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
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<title>Publisher&#x2019;s note</title>
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</sec>
<sec sec-type="supplementary-material" id="sec28">
<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.2025.1662779/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2025.1662779/full#supplementary-material</ext-link></p>
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<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://www.boletinoficial.gob.ar/detalleAviso/primera/270118/20220824" ext-link-type="uri">https://www.boletinoficial.gob.ar/detalleAviso/primera/270118/20220824</ext-link></p></fn>
<fn id="fn0002"><p><sup>2</sup><ext-link xlink:href="http://www.infostat.com.ar" ext-link-type="uri">www.infostat.com.ar</ext-link></p></fn>
</fn-group>
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