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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Vet World</journal-id>
      <journal-title>Veterinary World</journal-title>
      <issn pub-type="ppub">0972-8988</issn>
      <issn pub-type="epub">2231-0916</issn>
      <publisher>
        <publisher-name>Veterinary World</publisher-name>
        <publisher-loc>India</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">Vetworld-19-978</article-id>
      <article-id pub-id-type="doi">10.14202/vetworld.2026.978-991</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>RESEARCH ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Genotypic characterization of antibiotic resistance genes in multidrug-resistant <italic>Staphylococcus aureus</italic> isolated from companion and livestock animals in Indonesia</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Yosyana</surname>
            <given-names>Alyaa Rifqoh Putri</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Salasia</surname>
            <given-names>Siti Isrina Oktavia</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="corresp" rid="cor1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Alhadz</surname>
            <given-names>Ghias Ghifari</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Aziz</surname>
            <given-names>Fatkhanuddin</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label>Department of Clinical Pathology, Faculty of Veterinary Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia</aff>
      <aff id="aff2"><label>2</label>Department of Bioresources Technology and Veterinary, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia</aff>
      <author-notes>
        <corresp id="cor1"><bold>Corresponding Author:</bold> Siti Isrina Oktavia Salasia <bold>E-mail:</bold> <email xlink:href="isrinasalasia@ugm.ac.id">isrinasalasia@ugm.ac.id</email> <bold>Co-authors:</bold> ARPY: <email xlink:href="alyaa.r.p@mail.ugm.ac.id">alyaa.r.p@mail.ugm.ac.id</email>; GGA: <email xlink:href="ghias.ghifari.a@mail.ugm.ac.id">ghias.ghifari.a@mail.ugm.ac.id</email>; FA: <email xlink:href="fatkhanuddin.aziz@mail.ugm.ac.id">fatkhanuddin.aziz@mail.ugm.ac.id</email>
</corresp>
      </author-notes>
      <pub-date pub-type="ppub">
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>15</day>
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <volume>19</volume>
      <issue>3</issue>
      <fpage>978</fpage>
      <lpage>991</lpage>
      <history>
        <date date-type="received">
          <day>02</day>
          <month>11</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>02</day>
          <month>02</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright: &#xA9; Yosyana, <italic>et al</italic>.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0">
          <p>Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</p>
        </license>
      </permissions>
      <abstract>
        <title>ABSTRACT</title>
        <sec id="st1">
          <title>Background and Aim:</title>
          <p>Antimicrobial resistance (AMR) in <italic>Staphylococcus aureus</italic> represents a critical threat to veterinary and public health, with multidrug-resistant (MDR) strains facilitating zoonotic transmission across animal species. This study aimed to investigate the prevalence and diversity of key antibiotic resistance genes in MDR <italic>S. aureus</italic> isolates from companion and livestock animals in Indonesia, and to assess their potential for interspecies dissemination within a One Health framework.</p>
        </sec>
        <sec id="st2">
          <title>Materials and Methods:</title>
          <p>A total of 121 bacterial isolates were collected from bovine milk (n = 30), cats (n = 61), dogs (n = 18), rabbits (n = 7), and goats (n = 5) between June 2024 and August 2025 in Yogyakarta and Central Java, Indonesia. Phenotypic identification involved biochemical tests (catalase, coagulase, mannitol fermentation), antimicrobial susceptibility testing via disk diffusion against seven antibiotics (tetracycline, gentamicin, erythromycin, penicillin G, cefoxitin, ciprofloxacin, clindamycin), and genotypic confirmation using polymerase chain reaction (PCR) for <italic>23S rRNA</italic>, <italic>nuc</italic>, and <italic>coa</italic> genes. Resistance genes (<italic>mecA</italic>, <italic>blaZ</italic>, <italic>aacA-D</italic>, <italic>ermA</italic>, <italic>tetK</italic>, <italic>tetM</italic>, <italic>msrB</italic>, <italic>linA</italic>, <italic>norA</italic>) were detected via targeted PCR. MDR was defined as resistance to &#x2265; 3 antimicrobial classes. Statistical analysis included Fisher&#x2019;s exact test (p &lt; 0.05) for comparing resistance patterns across hosts.</p>
        </sec>
        <sec id="st3">
          <title>Results:</title>
          <p>Of the isolates, 55 (45.5%) were confirmed as <italic>S. aureus</italic>, with the highest prevalence in bovine milk (80%) and rabbits (85.7%). All exhibited MDR phenotypes, predominantly to penicillin (20%&#x2013;72%), tetracycline (17%&#x2013;28%), and clindamycin. Erythromycin resistance varied significantly across sources (p &lt; 0.05). Genotypically, <italic>tetK</italic> was universal (100%), followed by <italic>linA</italic> (85.5%), <italic>norA</italic> (81.8%), <italic>mecA</italic> (76.4%), and <italic>blaZ</italic> (69.1%). Significant differences (p &lt; 0.05) occurred in <italic>tetM</italic>, <italic>blaZ</italic>, <italic>aacA-D</italic>, <italic>norA</italic>, and <italic>msrB</italic> distribution. Co-occurrence of <italic>mecA</italic>, <italic>blaZ</italic>, and <italic>tetK</italic> suggested horizontal gene transfer. Phenotypic-genotypic discrepancies were noted, potentially due to alternative genes (e.g., <italic>mecC</italic>, <italic>ermC</italic>) or regulatory mechanisms. MDR patterns were prominent in bovine and cat isolates, with complex gene combinations (&#x2265; 4 genes) in over 50% of cases.</p>
        </sec>
        <sec id="st4">
          <title>Conclusion:</title>
          <p>This study reveals shared resistance gene profiles in MDR <italic>S. aureus</italic> from Indonesian animals, highlighting zoonotic risks and the need for integrated AMR surveillance. Limitations include the targeted PCR&#x2019;s scope; future work should employ whole-genome sequencing to enable comprehensive resistome analysis and transmission studies.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>antimicrobial resistance</kwd>
        <kwd>companion animals</kwd>
        <kwd>Indonesia</kwd>
        <kwd>livestock animals</kwd>
        <kwd>multidrug resistance</kwd>
        <kwd>One Health</kwd>
        <kwd>
          <italic>Staphylococcus aureus</italic>
        </kwd>
        <kwd>zoonotic transmission</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1-1" sec-type="intro">
      <title>INTRODUCTION</title>
      <p>Antimicrobial resistance (AMR) has become a serious global health threat, affecting human and veterinary medicine. Pathogenic bacteria continue to evolve resistance mechanisms to multiple antibiotics, reducing treatment effectiveness and increasing morbidity and mortality from bacterial infections. The scarcity of new antimicrobial discoveries intensifies the issue of replacing ineffective drugs. In 2019, the World Health Organization (WHO) estimated that 1.2 million deaths were directly attributable to antibiotic-resistant bacterial infections in 2019, and that up to 4.95 million deaths were associated with antimicrobial resistance in 2022. Without effective interventions, AMR is projected to cause 10 million deaths annually by 2050 [<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>].</p>
      <p>The emergence of multidrug-resistant (MDR) bacteria, defined as strains resistant to three or more antimicrobial classes, poses a significant challenge for infection control. MDR bacteria have been detected not only in companion animals but also in livestock and animal-derived food products, such as milk, meat, and processed animal-derived foods [<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>]. Their presence in animals poses a zoonotic risk, as transmission can occur through direct contact or the food chain. Among these bacteria, <italic>Staphylococcus aureus</italic>, including its methicillin-resistant variant (methicillin-resistant <italic>S. aureus</italic> [MRSA]), is a major pathogen associated with AMR and MDR infections.</p>
      <p>The MDR of <italic>S. aureus</italic> has been widely reported in animal populations across different regions. Studies from China have reported high resistance rates to penicillin, erythromycin, tetracycline, and clindamycin among <italic>S. aureus</italic> isolates from animal-derived food products [<xref ref-type="bibr" rid="ref5">5</xref>]. <italic>S. aureus</italic> isolated from dairy cattle in Central Java and Riau showed substantial resistance to ampicillin, oxacillin, tetracycline, and erythromycin in Indonesia [<xref ref-type="bibr" rid="ref6">6</xref>]. In Malaysia, <italic>S. aureus</italic> isolated from stray cats exhibited resistance to multiple critical antimicrobials [<xref ref-type="bibr" rid="ref7">7</xref>]. These findings highlight the widespread distribution of MDR <italic>S. aureus</italic> in animal sources and its potential role in the dissemination of resistance across species.</p>
      <p>Specific resistance genes mediate antibiotic resistance in <italic>S. aureus</italic>. The <italic>mecA</italic> gene confers methicillin resistance, <italic>blaZ</italic> encodes &#x3B2;-lactamase, conferring penicillin resistance, <italic>aacA-D</italic> is associated with aminoglycoside resistance, <italic>tetK</italic> and <italic>tetM</italic> confer tetracycline resistance, and <italic>ermA</italic>, <italic>ermB</italic>, and <italic>ermC</italic> mediate macrolide-lincosamide-streptogramin B (MLSB) resistance [<xref ref-type="bibr" rid="ref8">8</xref>]. Previous studies have reported that <italic>S. aureus</italic> isolates from animals carrying multiple resistance genes, including <italic>mecA</italic>, are resistant to ampicillin, oxacillin, tetracycline, penicillin G, and erythromycin [<xref ref-type="bibr" rid="ref9">9</xref>].</p>
      <p>Despite increasing reports of MDR <italic>S. aureus</italic> in animals, data on the genetic determinants of AMR in <italic>S. aureus</italic> isolated from diverse animal sources in Indonesia remain scarce, particularly studies that simultaneously assess multiple resistance genes and their potential role in interspecies transmission. Most available studies have focused primarily on phenotypic resistance or on a limited set of host species, leaving a critical gap in understanding the molecular epidemiology of MDR <italic>S. aureus</italic> in the animal sector. In Indonesia, close interactions among livestock, companion animals, humans, and the environment facilitate the circulation of antimicrobial-resistant <italic>S. aureus</italic>. Animals may serve as reservoirs and transmission bridges for resistant strains at this One Health interface, underscoring the importance of characterizing resistance gene profiles across animal sources to support integrated AMR surveillance and control.</p>
      <p>Addressing this gap is essential to support national and global AMR surveillance initiatives in line with the WHO Global Action Plan on AMR [<xref ref-type="bibr" rid="ref10">10</xref>]. Therefore, this study aimed to characterize the genotypes of key antimicrobial resistance genes in multidrug-resistant <italic>S. aureus</italic> isolates from animals in Yogyakarta and Central Java, Indonesia, to provide insight into the distribution of resistance genes and inform the risk assessment of zoonotic and interspecies dissemination of AMR. Yogyakarta and Central Java were selected as study sites due to their high livestock production density, substantial companion animal populations, and frequent human&#x2013;animal contact, making these regions representative and relevant settings for monitoring the circulation of antimicrobial-resistant <italic>S. aureus</italic> at the animal&#x2013;human interface.</p>
    </sec>
    <sec id="sec1-2" sec-type="materials|methods">
      <title>MATERIALS AND METHODS</title>
      <sec id="sec2-1">
        <title>Ethical approval</title>
        <p>Informed consent and permission for sample collection were obtained from animal owners and veterinary facilities before sampling. The Research Ethics Committee of the Faculty of Veterinary Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia, approved the collection and use of animal isolates (Approval No. 143/EC-FKH/Int./2024).</p>
      </sec>
      <sec id="sec2-2">
        <title>Study design, period, and location</title>
        <p>This study used a cross-sectional, laboratory-based observational design to investigate the genotypic characteristics of AMR in <italic>S. aureus</italic> isolated from animals. Sampling was conducted from June 2024 to August 2025. Laboratory analyses were performed at the Clinical Pathology Laboratory, Faculty of Veterinary Medicine, and the Animal Science Learning Center at Universitas Gadjah Mada in Yogyakarta, Indonesia.</p>
      </sec>
      <sec id="sec2-3">
        <title>Sample collection and bacterial isolation</title>
        <p>A total of 121 bacterial isolates, comprising 30 from bovine milk, 61 from cats, 18 from dogs, 7 from rabbits, and 5 from goat milk, were used in this study. Bovine and goat milk samples were obtained from dairy farms in Boyolali, Central Java, Indonesia, whereas companion animal samples were collected from veterinary clinics and hospitals in Yogyakarta and Semarang.</p>
        <p>Animals exhibiting clinical signs suggestive of bacterial infection, such as pyogenic skin lesions, rhinitis, pyrexia, lethargy, or mastitis (dairy animals) were included in the study. Swab samples were collected from the oropharynx, nasal cavity, ears, and skin lesions of companion animals. Milk samples were aseptically collected from dairy animals with clinical or subclinical mastitis. Animals that had received systemic antibiotics within 2 weeks before sampling or samples showing mixed bacterial growth were excluded from the analysis.</p>
        <p>Continuous sample collection was conducted throughout the study period to minimize seasonal or temporal bias. All samples were aseptically transported and processed immediately upon arrival at the laboratory. Specimens were cultured on 5% defibrinated sheep blood agar and incubated aerobically at 37&#xB0;C for 24 h. Colonies with typical <italic>S. aureus</italic> morphology were selected for further identification by Gram staining, hemolytic activity testing, and subculture onto mannitol salt agar. Biochemical confirmation was performed using catalase and coagulase tests following standard protocols.</p>
      </sec>
      <sec id="sec2-4">
        <title>Antimicrobial susceptibility testing</title>
        <p>All <italic>S. aureus</italic> isolates were inoculated into tryptic soy broth (Merck, Germany) and incubated at 37&#xB0;C for 24 h. The culture was washed with sterile phosphate-buffered saline (PBS) and diluted with sterile PBS to a turbidity equivalent to a 0.5 McFarland standard (HiMedia, USA). Susceptibility testing was performed using the Kirby&#x2013;Bauer disk diffusion method in accordance with the Clinical and Laboratory Standards Institute (CLSI) guidelines (CLSI M100, 2024) [<xref ref-type="bibr" rid="ref11">11</xref>].</p>
        <p>The culture was standardized to a 0.5 McFarland standard, and 70 &#xB5;L was spread on Mueller-Hinton agar (MHA; Merck, Germany) using a glass spreader. Antibiotic disks were placed on MHA at a specified distance from one another and incubated at 37&#xB0;C for 24 h. The antibiotic disks (Oxoid, UK) used in this study were tetracycline (30 &#xB5;g), gentamicin (10 &#xB5;g), erythromycin (15 &#xB5;g), penicillin G (10 &#xB5;g), cefoxitin (30 &#xB5;g), ciprofloxacin (5 &#xB5;g), and clindamycin (10 &#xB5;g). Inhibition zone diameters were measured and interpreted as susceptible, intermediate, or resistant according to CLSI M100 (2024) criteria. Multidrug resistance (MDR) was defined as resistance to &#x2265;1 agent in &#x2265;3 antimicrobial classes, as defined by Magiorakos <italic>et al</italic>. [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      </sec>
      <sec id="sec2-5">
        <title>DNA extraction, molecular identification, and resistance gene detection</title>
        <p>Genomic DNA was extracted from <italic>S. aureus</italic> isolates using the Geneaid Bacteria DNA Kit (Geneaid, Taiwan) according to the manufacturer&#x2019;s instructions. Molecular identification was performed by polymerase chain reaction (PCR) amplification of the <italic>23S rRNA</italic> and <italic>nuc</italic> genes, and the <italic>coa</italic> gene was amplified to characterize <italic>S. aureus</italic> isolates.</p>
        <p>Detection of antibiotic resistance genes, including <italic>mecA</italic> (methicillin/oxacillin resistance), <italic>blaZ</italic> (penicillin G resistance), <italic>aacA-D</italic> (aminoglycoside resistance), <italic>ermA</italic>, <italic>msrB</italic>, and <italic>linA</italic> (macrolide-lincosamide-streptogramin B resistance), <italic>tetK</italic> and <italic>tetM</italic> (tetracycline resistance), and <italic>norA</italic> (ciprofloxacin resistance), was performed using specific primers and PCR conditions listed in <xref ref-type="table" rid="T1">Table 1</xref>. Each 10 &#x3BC;L PCR reaction mixture contained 0.5 &#x3BC;L of forward primer (10 pmol), 0.5 &#x3BC;L of reverse primer (10 pmol), 5 &#x3BC;L of PCR mix, 3.5 &#x3BC;L of nuclease-free water, and 0.5 &#x3BC;L of DNA template. MyTaq HS Red Mix (Bioline, UK) was used for the amplification of all target genes except <italic>nuc</italic>, for which PowerPol 2&#xD7; PCR Mix with Dye (ABclonal, USA) was used. Briefly, the PCR tubes were centrifuged and placed in a thermal cycler under the corresponding conditions. All primers used in this study were selected from previously published studies and validated for specificity and sensitivity against <italic>S. aureus</italic> (<xref ref-type="table" rid="T1">Table 1</xref>) [<xref ref-type="bibr" rid="ref13">13</xref>&#x2013;<xref ref-type="bibr" rid="ref21">21</xref>]. For quality assurance, each PCR run included a positive control consisting of DNA from a well-characterized <italic>S. aureus</italic> strain, previously confirmed phenotypically, genotypically, and by whole-genome sequencing, and a negative control containing nuclease-free water instead of template DNA. All PCR assays were performed in duplicate to ensure reproducibility, and consistent results were obtained across repeated runs.</p>
        <table-wrap id="T1" position="float">
          <label>Table 1</label>
          <caption>
            <p>Oligonucleotide primers and polymerase chain reaction (PCR) programs for amplification of species-specific and antibiotic resistance genes in <italic>Staphylococcus aureus</italic>.</p>
          </caption>
          <table frame="hsides" rules="all" width="100%">
            <thead>
              <tr>
                <th align="left">Target gene</th>
                <th align="left">Primer sequence (5&#x2019;&#x2013;3&#x2019;)</th>
                <th align="center">Annealing (&#xB0;C)</th>
                <th align="center">Target size (bp)</th>
                <th align="left">PCR program</th>
                <th align="center">Reference</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">
                  <italic>23S rRNA</italic>
                </td>
                <td align="left">AGCGAGTTACAAAGGAGGAC; AGCTCAGCCTTAACGAGTAC</td>
                <td align="center">64</td>
                <td align="center">1250</td>
                <td align="left">35 cycles: 95&#xB0;C 15 s/64&#xB0;C 30 s/72&#xB0;C 10 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref9">9</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>nuc</italic>
                </td>
                <td align="left">GCGATTGATGGTGATACGGTT; ACGCAAGCCTTGACGAACTAAAGC</td>
                <td align="center">55</td>
                <td align="center">279</td>
                <td align="left">37 cycles: 98&#xB0;C 10 s/55&#xB0;C 30 s/72&#xB0;C 5 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref9">9</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>coa</italic>
                </td>
                <td align="left">GTCTTGAAAGTAGCTCATCTAAACTTG; ATCCAAATGTTCCATCGTTGTATTC</td>
                <td align="center">55</td>
                <td align="center">228</td>
                <td align="left">40 cycles: 95&#xB0;C 10 s/55&#xB0;C 20 s/72&#xB0;C 25 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref13">13</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>blaZ</italic>
                </td>
                <td align="left">ACTTCAACACCTGCTGCTTTC; TGACCACTTTTATCAGCAACC</td>
                <td align="center">55</td>
                <td align="center">173</td>
                <td align="left">30 cycles: 94&#xB0;C 30 s/55&#xB0;C 30 s/72&#xB0;C 1 min</td>
                <td align="center">[<xref ref-type="bibr" rid="ref14">14</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>aacA-D</italic>
                </td>
                <td align="left">TAATCCAAGAGCAATAAGGGC; GCCACACTATCATAACCACTA</td>
                <td align="center">55</td>
                <td align="center">227</td>
                <td align="left">30 cycles: 94&#xB0;C 30 s/55&#xB0;C 30 s/72&#xB0;C 30 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref15">15</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>ermA</italic>
                </td>
                <td align="left">ACGATATTCACGGTTTACCCACTTA; AACCAGAAAAACCCTAAAGACACG</td>
                <td align="center">55</td>
                <td align="center">610</td>
                <td align="left">30 cycles: 94&#xB0;C 30 s/55&#xB0;C 30 s/72&#xB0;C 30 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref16">16</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>msrB</italic>
                </td>
                <td align="left">TATGATATCCATAATAATTATCCAATC; AAGTTATATCATGAATAGATTGTCCTGTT</td>
                <td align="center">50</td>
                <td align="center">595</td>
                <td align="left">35 cycles: 95&#xB0;C 15 s/50&#xB0;C 15 s/72&#xB0;C 10 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref17">17</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>tetK</italic>
                </td>
                <td align="left">GTGCGACAATAGGTAATAGT; GTAGTGACAATAAACCTCCTA</td>
                <td align="center">55</td>
                <td align="center">360</td>
                <td align="left">35 cycles: 95&#xB0;C 30 s/55&#xB0;C 30 s/72&#xB0;C 10 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref18">18</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>tetM</italic>
                </td>
                <td align="left">AGTGGAGCGATTACAGAA; CATATGTCCTGGCGTGTCTA</td>
                <td align="center">55</td>
                <td align="center">158</td>
                <td align="left">35 cycles: 95&#xB0;C 30 s/55&#xB0;C 30 s/72&#xB0;C 10 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref19">19</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>linA</italic>
                </td>
                <td align="left">GGTGGCTGGGGGGTAGATGTATTAACTGG; GCTTCTTTTGAAATACATGGTATTTTTCGATC</td>
                <td align="center">57</td>
                <td align="center">323</td>
                <td align="left">35 cycles: 95&#xB0;C 15 s/57&#xB0;C 15 s/72&#xB0;C 10 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref20">20</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>norA</italic>
                </td>
                <td align="left">GACATTTCACCAAGCCATCAA; TGCCATAAATCCACCAATCC</td>
                <td align="center">55</td>
                <td align="center">102</td>
                <td align="left">30 cycles: 98&#xB0;C 10 s/55&#xB0;C 30 s/72&#xB0;C 30 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref21">21</xref>]</td>
              </tr>
              <tr>
                <td align="left">
                  <italic>mecA</italic>
                </td>
                <td align="left">AAAATCGATGGTAAAGGTTGGC; AGTTCTGCAGTACCGGATTTGC</td>
                <td align="center">56</td>
                <td align="center">533</td>
                <td align="left">35 cycles: 95&#xB0;C 30 s/55&#xB0;C 30 s/72&#xB0;C 10 s</td>
                <td align="center">[<xref ref-type="bibr" rid="ref9">9</xref>]</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The PCR products were separated by electrophoresis on a 1.5% (w/v) agarose gel (GeneDireX, USA) in 1&#xD7; TBE buffer and stained with Safe-Red&#x2122; Gel Stain (ABM, Canada). Bands were visualized using a UV transilluminator and compared with a 100-bp DNA ladder (Smobio, Taiwan).</p>
      </sec>
      <sec id="sec2-6">
        <title>Quality control strains</title>
        <p>We ensured quality control by including a well-characterized <italic>S. aureus</italic> isolate that had been previously confirmed phenotypically and genotypically and further validated by whole-genome sequencing [<xref ref-type="bibr" rid="ref9">9</xref>]. This isolate served as an internal positive control for biochemical identification, antimicrobial susceptibility testing, and PCR assays. These measures ensured the accuracy, reliability, and reproducibility of the phenotypic and molecular results.</p>
      </sec>
      <sec id="sec2-7">
        <title>Statistical analysis</title>
        <p>Descriptive statistics were used to summarize the distribution of <italic>S. aureus</italic> isolates and resistance genes across animal species (bovine milk, cats, dogs, rabbits, and goat milk). A comparative analysis of resistance gene prevalence and antimicrobial resistance patterns among host species was performed using Fisher&#x2019;s exact test at a significance level of p &lt; 0.05. The agreement between phenotypic AMR and the corresponding resistance genes was evaluated descriptively by assessing the concordance between disk diffusion results and PCR detection.</p>
      </sec>
    </sec>
    <sec id="sec1-3" sec-type="results">
      <title>RESULTS</title>
      <sec id="sec2-8">
        <title>Identification of <italic>S. aureus</italic> isolates</title>
        <p>A total of 55 isolates were confirmed as <italic>S. aureus</italic> based on colony morphology, biochemical characteristics, and PCR amplification of the <italic>23S rRNA</italic> and <italic>nuc</italic> genes. The isolates were obtained from various animal sources, including bovine milk (24/30), cats (18/61), dogs (5/18), rabbits (6/7), and goat milk (2/5).</p>
      </sec>
      <sec id="sec2-9">
        <title>Phenotypic characteristics</title>
        <p>Typical <italic>S. aureus</italic> colonies were round, smooth, convex, glistening, and grayish to golden-yellow on sheep blood agar (5%). Most isolates exhibited a creamy-to-opaque appearance with distinct hemolytic zones. All isolates were Gram-positive, catalase-positive cocci arranged in clusters. Mannitol fermentation was observed in 98.2% (54/55) of the isolates, and 43.6% (24/55) were coagulase-positive. Variable hemolysis patterns (&#x3B1;-, &#x3B2;-, and &#x3B3;-hemolysis) were observed among the isolates obtained from different animal sources. In addition, 5 isolates from bovine milk (2/24, 8.3%), dog (2/5, 40%), and goat milk (1/2, 50%) exhibited atypical small-colony variant (SCV)-like morphology, characterized by pinpoint colonies smaller than those of wild-type <italic>S. aureus</italic> (<xref ref-type="fig" rid="F1">Figure 1</xref>). These morphological variants were rare but consistently reproducible upon subculture. The phenotypic results were consistent with the general characteristics of <italic>S. aureus</italic> and supported the identification of the species before molecular analysis. <xref ref-type="table" rid="T2">Table 2</xref> summarizes the detailed biochemical and hemolytic profiles.</p>
        <fig id="F1">
          <label>Figure 1</label>
          <caption>
            <p>Comparison of colony morphology between small-colony variant and wild-type <italic>Staphylococcus aureus</italic> on blood agar.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g001.tif"/>
        </fig>
        <table-wrap id="T2" position="float">
          <label>Table 2</label>
          <caption>
            <p>Phenotypic characteristics of <italic>Staphylococcus aureus</italic> isolates from various animal sources.</p>
          </caption>
          <table frame="hsides" rules="all" width="100%">
            <thead>
              <tr>
                <th align="left">Source of the isolates</th>
                <th align="center">Number of samples</th>
                <th align="center">No. of identified <italic>S. aureus</italic></th>
                <th align="center">Gram stain</th>
                <th align="center">Catalase-positive (%)</th>
                <th align="center">Positive mannitol fermentation (%)</th>
                <th align="center">Coagulase-positive (%)</th>
                <th align="center">Type of hemolysis observed<xref ref-type="table-fn" rid="t2f1">*</xref></th>
                <th align="center">SCV identified (%)</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">Bovine milk</td>
                <td align="center">30</td>
                <td align="center">24</td>
                <td align="center">+</td>
                <td align="center">83.3 (20/24)</td>
                <td align="center">100 (24/24)</td>
                <td align="center">33.3 (8/24)</td>
                <td align="center">&#x3B1;, &#x3B2;, &#x3B3;</td>
                <td align="center">8.3 (2/24)</td>
              </tr>
              <tr>
                <td align="left">Cats</td>
                <td align="center">61</td>
                <td align="center">18</td>
                <td align="center">+</td>
                <td align="center">94.4 (17/18)</td>
                <td align="center">94.4 (17/18)</td>
                <td align="center">38.9 (7/18)</td>
                <td align="center">&#x3B1;, &#x3B2;, &#x3B3;</td>
                <td align="center">0 (0/18)</td>
              </tr>
              <tr>
                <td align="left">Dogs</td>
                <td align="center">18</td>
                <td align="center">5</td>
                <td align="center">+</td>
                <td align="center">80.0 (4/5)</td>
                <td align="center">100 (5/5)</td>
                <td align="center">60.0 (3/5)</td>
                <td align="center">&#x3B2;, &#x3B3;</td>
                <td align="center">40 (2/5)</td>
              </tr>
              <tr>
                <td align="left">Rabbits</td>
                <td align="center">7</td>
                <td align="center">6</td>
                <td align="center">+</td>
                <td align="center">83.3 (5/6)</td>
                <td align="center">100 (6/6)</td>
                <td align="center">83.3 (5/6)</td>
                <td align="center">&#x3B2;, &#x3B3;</td>
                <td align="center">0 (0/6)</td>
              </tr>
              <tr>
                <td align="left">Goat milk</td>
                <td align="center">5</td>
                <td align="center">2</td>
                <td align="center">+</td>
                <td align="center">100 (2/2)</td>
                <td align="center">100 (2/2)</td>
                <td align="center">50.0 (1/2)</td>
                <td align="center">&#x3B1;, &#x3B2;</td>
                <td align="center">50 (1/2)</td>
              </tr>
              <tr>
                <td align="left">Total</td>
                <td align="center">121</td>
                <td align="center">55</td>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="t2f1">
              <label>*</label>
              <p>Hemolysis types: &#x3B1; = Alpha-hemolysis, &#x3B2; = Beta-hemolysis, &#x3B3; = Gamma-hemolysis (non-hemolytic), SCV = Small-colony variant</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec2-10">
        <title>Molecular confirmation</title>
        <p>Molecular confirmation of all isolates was performed by PCR amplification of the <italic>23S rRNA</italic> and <italic>nuc</italic> genes. Characterization of <italic>S. aureus</italic> isolates was performed by detecting the <italic>coa</italic> gene. The amplicon sizes of the <italic>23S rRNA</italic>, <italic>nuc</italic>, and <italic>coa</italic> genes were approximately 1250, 279, and 204 bp, respectively (<xref ref-type="fig" rid="F2">Figure 2</xref>). All <italic>S. aureus</italic> isolates from dogs, rabbits, and goat milk were positive for the <italic>coa</italic> gene, whereas 95.8% (23/24) of bovine milk isolates and 72.2% (13/18) of cat isolates were positive.</p>
        <fig id="F2">
          <label>Figure 2</label>
          <caption>
            <p>Polymerase chain reaction amplification of <italic>23S rRNA</italic> (1250 base pairs), <italic>nuc</italic> (279 base pairs), and <italic>coa</italic> (204 base pairs) genes in <italic>Staphylococcus aureus</italic> isolates. M: 100 base pairs of DNA ladder.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g002.tif"/>
        </fig>
      </sec>
      <sec id="sec2-11">
        <title>Antimicrobial resistance profiles</title>
        <p>All <italic>S. aureus</italic> isolates confirmed by phenotypic and genotypic tests were evaluated for antimicrobial susceptibility using the Kirby&#x2013;Bauer disk diffusion method with the following antibiotics: tetracycline (TE, 30 &#xB5;g), gentamicin (CN, 10 &#xB5;g), erythromycin (E, 15 &#xB5;g), penicillin G (P, 10 &#xB5;g), cefoxitin (FOX, 30 &#xB5;g), ciprofloxacin (CIP, 5 &#xB5;g), and clindamycin (DA, 10 &#xB5;g).</p>
        <p><xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="fig" rid="F3">Figure 3</xref> summarize the overall resistance rates among <italic>S. aureus</italic> isolates from various animal sources. The isolates exhibited variable resistance patterns, with the highest rates of resistance to penicillin (20%&#x2013;72%) and tetracycline (17%&#x2013;28%), whereas most isolates remained susceptible to ciprofloxacin and cefoxitin. No significant differences in the distribution of antibiotic resistance were observed among animal sources (Fisher&#x2019;s exact test, p &gt; 0.05). In contrast, erythromycin showed a statistically significant difference (Fisher&#x2019;s exact test, p &lt; 0.05).</p>
        <table-wrap id="T3" position="float">
          <label>Table 3</label>
          <caption>
            <p>Antibiotic resistance profiles of <italic>Staphylococcus aureus</italic> isolates isolated from bovine milk, cats, dogs, rabbits, and goat milk in Indonesia.</p>
          </caption>
          <table frame="hsides" rules="all" width="100%">
            <thead>
              <tr>
                <th align="left">Antibiotic</th>
                <th align="center">Bovine milk (n = 24)</th>
                <th align="center">Cats (n = 18)</th>
                <th align="center">Dogs (n = 5)</th>
                <th align="center">Rabbits (n = 6)</th>
                <th align="center">Goat milk (n = 2)</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="left">Resistant (%)</td>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
              </tr>
              <tr>
                <td align="left">&#x2003;TE (30 &#xB5;g)</td>
                <td align="center">20.8 (5/24)</td>
                <td align="center">27.8 (5/18)</td>
                <td align="center">20 (1/5)</td>
                <td align="center">16.7 (1/6)</td>
                <td align="center">0 (0/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;CN (10 &#xB5;g)</td>
                <td align="center">12.5 (3/24)</td>
                <td align="center">16.7 (3/18)</td>
                <td align="center">0 (0/5)</td>
                <td align="center">16.7 (1/6)</td>
                <td align="center">0 (0/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;E (15 &#xB5;g)</td>
                <td align="center">0 (0/24)</td>
                <td align="center">50 (9/18)</td>
                <td align="center">0 (0/5)</td>
                <td align="center">33.3 (2/6)</td>
                <td align="center">0 (0/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;P (10 &#xB5;g)</td>
                <td align="center">62.5 (15/24)</td>
                <td align="center">72.2 (13/18)</td>
                <td align="center">20 (1/5)</td>
                <td align="center">33.3 (2/6)</td>
                <td align="center">0 (0/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;FOX (30 &#xB5;g)</td>
                <td align="center">12.5 (3/24)</td>
                <td align="center">27.8 (5/18)</td>
                <td align="center">0 (0/5)</td>
                <td align="center">0 (0/6)</td>
                <td align="center">0 (0/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;CIP (5 &#xB5;g)</td>
                <td align="center">4.2 (1/24)</td>
                <td align="center">16.7 (3/18)</td>
                <td align="center">0 (0/5)</td>
                <td align="center">0 (0/6)</td>
                <td align="center">0 (0/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;DA (10 &#xB5;g)</td>
                <td align="center">4.2 (1/24)</td>
                <td align="center">38.9 (7/18)</td>
                <td align="center">0 (0/5)</td>
                <td align="center">0 (0/6)</td>
                <td align="center">50 (1/2)</td>
              </tr>
              <tr>
                <td align="left">Susceptible (%)</td>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
                <td align="center"/>
              </tr>
              <tr>
                <td align="left">&#x2003;TE (30 &#xB5;g)</td>
                <td align="center">79.2 (19/24)</td>
                <td align="center">55.6 (10/18)</td>
                <td align="center">80 (4/5)</td>
                <td align="center">83.3 (5/6)</td>
                <td align="center">100 (2/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;CN (10 &#xB5;g)</td>
                <td align="center">79.2 (19/24)</td>
                <td align="center">72.2 (13/18)</td>
                <td align="center">100 (5/5)</td>
                <td align="center">83.3 (5/6)</td>
                <td align="center">100 (2/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;E (15 &#xB5;g)</td>
                <td align="center">83.3 (20/24)</td>
                <td align="center">50 (9/18)</td>
                <td align="center">80 (4/5)</td>
                <td align="center">66.7 (4/6)</td>
                <td align="center">100 (2/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;P (10 &#xB5;g)</td>
                <td align="center">37.5 (9/24)</td>
                <td align="center">27.8 (5/18)</td>
                <td align="center">80 (4/5)</td>
                <td align="center">66.7 (4/6)</td>
                <td align="center">100 (2/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;FOX (30 &#xB5;g)</td>
                <td align="center">87.5 (21/24)</td>
                <td align="center">72.2 (13/18)</td>
                <td align="center">100 (5/5)</td>
                <td align="center">100 (6/6)</td>
                <td align="center">100 (2/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;CIP (5 &#xB5;g)</td>
                <td align="center">91.7 (22/24)</td>
                <td align="center">66.7 (12/18)</td>
                <td align="center">100 (5/5)</td>
                <td align="center">83.3 (5/6)</td>
                <td align="center">50 (1/2)</td>
              </tr>
              <tr>
                <td align="left">&#x2003;DA (10 &#xB5;g)</td>
                <td align="center">87.5 (21/24)</td>
                <td align="center">55.6 (10/18)</td>
                <td align="center">100 (5/5)</td>
                <td align="center">100 (6/6)</td>
                <td align="center">50 (1/2)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>TE = Tetracycline, CN = Gentamicin, E = Erythromycin, P = Penicillin G, FOX = Cefoxitin, CIP = Ciprofloxacin, DA = Clindamycin.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <fig id="F3">
          <label>Figure 3</label>
          <caption>
            <p>Antimicrobial susceptibility profiles of <italic>Staphylococcus aureus</italic> isolates from bovine milk, cats, dogs, rabbits, and goat milk. TE (tetracycline, 30 micrograms), CN (gentamicin, 10 micrograms), E (erythromycin, 15 micrograms), P (penicillin G, 10 international units), FOX (cefoxitin, 30 micrograms), CIP (ciprofloxacin, 5 micrograms), and DA (clindamycin, 10 micrograms). Differences among animal sources were analyzed using Fisher&#x2019;s exact test; * = p &lt; 0.05 (significant).</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g003.tif"/>
        </fig>
      </sec>
      <sec id="sec2-12">
        <title>Detection of antibiotic resistance genes</title>
        <p>All 55 <italic>S. aureus</italic> isolates from bovine milk, cats, dogs, rabbits, and goat milk were screened for antibiotic resistance&#x2013;encoding genes using PCR. The genes analyzed were <italic>tetK</italic>, <italic>tetM</italic>, <italic>ermA</italic>, <italic>blaZ</italic>, <italic>aacA-D</italic>, <italic>norA</italic>, <italic>linA</italic>, <italic>mecA</italic>, and <italic>msrB</italic>. Overall, <italic>tetK</italic> was detected in all isolates across all host species, indicating widespread tetracycline resistance. High detection frequencies were also observed for <italic>blaZ</italic>, <italic>norA</italic>, <italic>linA</italic>, and <italic>mecA</italic>, although prevalence varied among animal sources. In contrast, <italic>ermA</italic> and <italic>msrB</italic> were detected at relatively low frequencies and exhibited host-specific distribution patterns. Table 4 summarizes the detailed detection rates by host species, while Figures <xref ref-type="fig" rid="F4">4</xref> and <xref ref-type="fig" rid="F5">5</xref> show representative PCR amplicons and comparative visualizations of resistance gene profiles. Significant differences were observed for <italic>tetM</italic>, <italic>blaZ</italic>, <italic>aacA-D</italic>, <italic>norA</italic>, and <italic>msrB</italic> (p &lt; 0.05), whereas no significant differences were observed for <italic>ermA</italic>, <italic>linA</italic>, and <italic>mecA</italic>. The <italic>tetK</italic> gene was excluded because it was detected uniformly across all sources.</p>
        <fig id="F4">
          <label>Figure 4</label>
          <caption>
            <p>Polymerase chain reaction amplification of antibiotic resistance&#x2013;encoding genes in <italic>Staphylococcus aureus</italic> isolates from different animal sources. Amplicon sizes: <italic>tetM</italic> (158 base pairs), <italic>blaZ</italic> (173 base pairs), <italic>aacA-D</italic> (227 base pairs), <italic>msrB</italic> (595 base pairs), <italic>norA</italic> (102 base pairs), <italic>linA</italic> (323 base pairs), <italic>ermA</italic> (610 base pairs), <italic>tetK</italic> (360 base pairs), and <italic>mecA</italic> (533 base pairs). M = deoxyribonucleic acid ladder (100 base pairs).</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g004.tif"/>
        </fig>
        <fig id="F5">
          <label>Figure 5</label>
          <caption>
            <p>Distribution of antimicrobial resistance genes among <italic>Staphylococcus aureus</italic> isolates from bovine milk, cats, dogs, rabbits, and goat milk in Indonesia. Bars represent gene prevalence by host. Fisher&#x2019;s exact test was applied; genes detected in all hosts (e.g., <italic>tetK</italic>) were excluded. * = p &lt; 0.05 (significant).</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g005.tif"/>
        </fig>
      </sec>
      <sec id="sec2-13">
        <title>Phenotypic and genotypic patterns of multidrug resistance</title>
        <p>The MDR pattern of <italic>S. aureus</italic> isolates varied by animal source. The most frequent phenotypic combinations included resistance to &#x3B2;-lactams (penicillin, oxacillin, ampicillin, amoxicillin, and cefoxitin), macrolides (erythromycin), and tetracycline (<xref ref-type="fig" rid="F6">Figure 6</xref>). Although several MDR patterns were more common in specific animal sources, none of the observed differences reached statistical significance using Fisher&#x2019;s exact test. The molecular detection of resistance genes revealed diverse genotypic profiles that matched the observed phenotypes (<xref ref-type="fig" rid="F7">Figure 7</xref>). Several MDR patterns were observed among <italic>S. aureus</italic> isolates from different animal sources, with certain patterns showing significantly higher prevalence in specific sources, particularly dogs and cats. In contrast, the majority of cases occurred at low frequencies and did not differ statistically (p &lt; 0.05). The coexistence of multiple resistance genes was common among <italic>S. aureus</italic> isolates from all animal sources and was dominated by combinations involving <italic>tetK</italic>, often accompanied by <italic>tetM</italic>, <italic>norA</italic>, <italic>linA</italic>, and <italic>mecA</italic>. Overall, gene profiles with &#x2265; 4 resistance genes accounted for the majority of MDR isolates, with combinations including <italic>tetK</italic>&#x2013;<italic>tetM</italic> and <italic>tetK</italic>&#x2013;<italic>norA</italic>&#x2013;<italic>linA</italic> observed in more than 50% of isolates across host species. More complex gene constellations (&#x2265; 6 genes) were particularly frequent in bovine milk and companion animal isolates, underscoring extensive MDR at the genotypic level. The presence of multiple resistance genes in several isolates indicated the potential for MDR among circulating strains across animal sources.</p>
        <fig id="F6">
          <label>Figure 6</label>
          <caption>
            <p>Phenotypic multidrug resistance patterns among <italic>Staphylococcus aureus</italic> isolates from different animal sources in Indonesia. Bars show the percentage of isolates resistant to antibiotic combinations (tetracycline, oxacillin, gentamicin, erythromycin, ampicillin, penicillin, cefoxitin, ciprofloxacin, amoxicillin, and clindamycin). Differences between animal sources were assessed using Fisher&#x2019;s exact test; * = p &lt; 0.05 (significant).</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g006.tif"/>
        </fig>
        <fig id="F7">
          <label>Figure 7</label>
          <caption>
            <p>Genotypic multidrug resistance (MDR) profiles of <italic>Staphylococcus aureus</italic> isolates from different animal sources in Indonesia. Bars indicate the percentage of isolates carrying each combination of resistance genes. Fisher&#x2019;s exact test was applied to MDR profiles with a sufficient frequency; rare profiles were excluded. * = p &lt; 0.05 (significant).</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Vetworld-19-978-g007.tif"/>
        </fig>
      </sec>
    </sec>
    <sec id="sec1-4" sec-type="discussion">
      <title>DISCUSSION</title>
      <sec id="sec2-14">
        <title>Identification and phenotypic variations of <italic>S. aureus</italic></title>
        <p>Based on the biochemical characteristics and PCR amplification of the <italic>23S rRNA</italic> and <italic>nuc</italic> genes, a total of 55 isolates from bovine milk, cats, dogs, rabbits, and goat milk were confirmed to be <italic>S. aureus</italic>. The <italic>23S rRNA</italic> and <italic>nuc</italic> genes are widely accepted molecular markers for <italic>S. aureus</italic> identification [<xref ref-type="bibr" rid="ref9">9</xref>], whereas the <italic>coa</italic> gene provides additional strain-level specificity [<xref ref-type="bibr" rid="ref22">22</xref>]. However, several isolates showed discordance between molecular detection of the <italic>coa</italic> gene and phenotypic coagulase testing. Similar inconsistencies have been reported in regional and international studies, indicating that phenotypic coagulase tests alone may underestimate the prevalence of <italic>S. aureus</italic>, particularly in animal-derived isolates, and should be complemented with molecular confirmation [<xref ref-type="bibr" rid="ref23">23</xref>&#x2013;<xref ref-type="bibr" rid="ref25">25</xref>]. Mutations affecting <italic>coa</italic> expression or regulation have been proposed as underlying mechanisms for such discrepancies [<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref26">26</xref>&#x2013;<xref ref-type="bibr" rid="ref27">27</xref>].</p>
        <p>A small proportion of isolates from bovine milk, cats, dogs, and rabbits were catalase-negative, a rare phenotype in <italic>S. aureus</italic>. Catalase-negative <italic>S. aureus</italic> (CNSA) strains have been linked to <italic>katA</italic> gene mutations. Although they are increasingly reported in both human and veterinary settings, their potential for virulence remains unclear [<xref ref-type="bibr" rid="ref28">28</xref>]. Their presence in animal sources underscores the importance of molecular diagnostics in preventing misidentification and underreporting.</p>
      </sec>
      <sec id="sec2-15">
        <title>Hemolytic activity and host adaptation</title>
        <p>Hemolytic activity varies by host origin, reflecting host-adaptive virulence traits. Beta-hemolysis predominated among isolates from cats, consistent with studies implicating &#x3B2;-hemolysin in skin and soft-tissue infections in companion animals [<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>]. In contrast, gamma-hemolysis was more common among bovine milk isolates, consistent with reports of mastitis-associated <italic>S. aureus</italic> strains in Southeast Asia and elsewhere, where non-hemolytic phenotypes are frequently observed [<xref ref-type="bibr" rid="ref31">31</xref>&#x2013;<xref ref-type="bibr" rid="ref34">34</xref>]. These findings support the concept that host niche and infection ecology influence hemolysin expression.</p>
      </sec>
      <sec id="sec2-16">
        <title>Small-colony variants and their implications</title>
        <p>In this study, five isolates exhibited atypical growth, forming pinpoint-sized colonies smaller than those of wild-type <italic>S. aureus</italic> (<xref ref-type="fig" rid="F1">Figure 1</xref>), resembling SCVs. SCVs are a subpopulation of <italic>S. aureus</italic> characterized by phenotypic alterations that enable persistence under adverse environmental conditions. SCVs have been increasingly reported among livestock- and companion-animal-associated <italic>S. aureus</italic>, particularly in the context of chronic infections and prolonged antimicrobial exposure [<xref ref-type="bibr" rid="ref35">35</xref>]. SCVs exhibit enhanced biofilm formation, altered metabolism, and increased antibiotic tolerance, thereby facilitating persistence within the host and environment [<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>]. Although SCVs were not explicitly characterized in this study, their associations with biofilm formation, intracellular persistence, and antimicrobial tolerance are highly relevant in veterinary settings. SCVs may contribute to chronic or recurrent infections in animals and complicate treatment outcomes, particularly in the context of MDR <italic>S. aureus</italic> [<xref ref-type="bibr" rid="ref35">35</xref>]. The interplay among methicillin resistance, biofilm production, and host adaptation highlights MRSA as a significant One Health concern, facilitating transmission among animals, humans, and the environment and complicating infection control efforts. The recognition of these phenotypes underscores the need for further investigation into adaptive survival strategies of <italic>S. aureus</italic> in animal sources and their implications for long-term infection control.</p>
      </sec>
      <sec id="sec2-17">
        <title>Antimicrobial susceptibility patterns</title>
        <p>In this study, the antimicrobial susceptibility profiles showed that resistance patterns were broadly comparable across animal sources for most antibiotics tested, with no statistically significant differences. This suggests a relatively uniform distribution of resistance phenotypes across animal sources, which may reflect similar antimicrobial exposure or shared environmental and management conditions. Erythromycin was the only antimicrobial for which a significant difference was observed among animal sources. Resistance to macrolides may be influenced by host-associated factors or differences in usage patterns. The majority of macrolide use was in food-producing animals; in the U. S. in 2017, macrolides were the most commonly used in cattle [<xref ref-type="bibr" rid="ref38">38</xref>].</p>
        <p>In this study, <italic>S. aureus</italic> isolates from different animal sources exhibited variable resistance patterns, consistent with regional and global reports on antimicrobial resistance in <italic>S. aureus</italic> from livestock and companion animals [<xref ref-type="bibr" rid="ref39">39</xref>&#x2013;<xref ref-type="bibr" rid="ref42">42</xref>]. These differences largely reflect geographic variation in resistance patterns shaped by antimicrobial use practices, regulatory frameworks, and animal production systems. The widespread empirical use of penicillins, tetracyclines, and aminoglycosides in food-producing animals has been identified as a major driver of the emergence of resistance in Indonesia and other Southeast Asian countries [<xref ref-type="bibr" rid="ref42">42</xref>&#x2013;<xref ref-type="bibr" rid="ref45">45</xref>]. This study extends previous Indonesian reports on <italic>S. aureus</italic> by providing a comparative, multi-host analysis of resistance gene profiles across livestock and companion animals within the same geographic regions. Unlike earlier studies that focused on single host species or on phenotypic resistance alone [<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref33">33</xref>], our findings demonstrate shared resistance gene patterns across animal sources, supporting the existence of interconnected AMR reservoirs in a One Health context.</p>
      </sec>
      <sec id="sec2-18">
        <title>Multidrug resistance patterns</title>
        <p>Bacteria were classified as MDR if they showed resistance or intermediate resistance to at least one antibiotic from three or more antimicrobial classes [<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>]. MDR <italic>S. aureus</italic> strains were primarily detected in bovine milk and cat isolates (<xref ref-type="fig" rid="F6">Figure 6</xref>). The consistent statistical significance across multiple MDR patterns reflects a structured distribution of resistance combinations rather than independent random events. Many MDR patterns share common antibiotics, resulting in correlated resistance profiles that manifest as significant global associations across multiple combinations. The occurrence of MDR strains in dairy cattle has been strongly associated with repeated antibiotic use for mastitis management, suboptimal milking hygiene, and environmental contamination [<xref ref-type="bibr" rid="ref42">42</xref>]. Similar trends have been reported in major dairy-producing regions across Asia, underscoring the zoonotic risk posed by MDR <italic>S. aureus</italic> throughout the food chain [<xref ref-type="bibr" rid="ref45">45</xref>]. Close contact with humans and frequent veterinary interventions in companion animals further increase the potential for interspecies transmission.</p>
        <p>MDR <italic>S. aureus</italic> isolates were confirmed by the detection of several antibiotic resistance genes (<xref ref-type="fig" rid="F7">Figure 7</xref>). The frequent co-occurrence of resistance genes, such as <italic>mecA</italic>, <italic>blaZ</italic>, and <italic>tetK</italic>, suggests a potential role for horizontal gene transfer. However, the underlying genetic platforms (e.g., plasmids or SCCmec types) remain uncharacterized and warrant further investigation using whole-genome approaches. Similar findings have been reported in several countries, indicating that MDR <italic>S. aureus</italic> poses a significant challenge to both animal and public health due to its zoonotic potential [<xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>]. A comparison with studies from Malaysia [<xref ref-type="bibr" rid="ref45">45</xref>] indicates broadly similar resistance trends, reinforcing the regional relevance of our findings. MDR transmission can occur within veterinary clinics through contact among personnel, animals, and owners and may contribute to nosocomial spread or localized outbreaks. The predominance of shared gene combinations across animal hosts further indicates interconnected resistance reservoirs consistent with the One Health framework. Therefore, continuous surveillance and prudent antibiotic use are essential to minimize the emergence and dissemination of MDR <italic>S. aureus</italic> in both livestock and companion animals.</p>
      </sec>
      <sec id="sec2-19">
        <title>Phenotypic-genotypic discrepancies</title>
        <p>PCR amplification detected several antibiotic resistance genes, including <italic>tetK</italic>, <italic>tetM</italic>, <italic>ermA</italic>, <italic>blaZ</italic>, <italic>aacA-D</italic>, <italic>norA</italic>, <italic>linA</italic>, <italic>mecA</italic>, and <italic>msrB</italic>, in <italic>S. aureus</italic> isolates from diverse animal sources. Genotypic profiles were compared with phenotypic susceptibility results obtained using the Kirby&#x2013;Bauer disk diffusion method. Discrepancies between resistance genotypes and phenotypes were observed among <italic>S. aureus</italic> isolates obtained from different animal sources. In several cases, isolates exhibited phenotypic resistance despite the absence of corresponding resistance genes. Some isolates phenotypically resistant to oxacillin were <italic>mecA</italic>-negative. This discrepancy may reflect the presence of <italic>mecC</italic>, an analog of <italic>mecA</italic> located on the SCCmec type XI element, which encodes a penicillin-binding protein (PBP2c) that confers &#x3B2;-lactam resistance but has distinct structural and thermosensitive properties [<xref ref-type="bibr" rid="ref47">47</xref>&#x2013;<xref ref-type="bibr" rid="ref50">50</xref>]. Similarly, erythromycin-resistant isolates lacking <italic>ermA</italic> suggest the involvement of other macrolide resistance determinants, particularly <italic>ermC</italic> [<xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref52">52</xref>]. The <italic>aacA-D</italic>-negative isolates could also exhibit adaptive resistance [<xref ref-type="bibr" rid="ref53">53</xref>].</p>
        <p>Conversely, several isolates harbored resistance genes but remained phenotypically susceptible. <italic>MecA</italic>-positive but oxacillin-susceptible isolates may be explained by insufficient PBP2a expression or compensatory native PBP activity [<xref ref-type="bibr" rid="ref54">54</xref>]. The lack of phenotypic &#x3B2;-lactam resistance in some <italic>blaZ</italic>-positive isolates, as well as susceptibility in isolates carrying <italic>tetK</italic>, <italic>tetM</italic>, <italic>aacA-D</italic>, <italic>linA</italic>, <italic>norA</italic>, or <italic>msrB</italic>, is consistent with previous reports describing gene silencing, regulatory suppression, sequence variation, or gene activation [<xref ref-type="bibr" rid="ref55">55</xref>&#x2013;<xref ref-type="bibr" rid="ref59">59</xref>]. In addition, the presence of the <italic>blaZ</italic> gene did not always indicate &#x3B2;-lactam susceptibility, as <italic>mecA</italic> may also mediate resistance [<xref ref-type="bibr" rid="ref55">55</xref>]. The phenotypic susceptibility of some <italic>linA</italic>-positive isolates may result from mutations in the 50S ribosomal subunit that permit antibiotic binding [<xref ref-type="bibr" rid="ref57">57</xref>]. Similarly, <italic>norA</italic> detection in ciprofloxacin-susceptible isolates may reflect sequence variation or modulation by global regulators such as <italic>MgrA</italic> [<xref ref-type="bibr" rid="ref58">58</xref>]. Finally, the discordance between <italic>msrB</italic> detection and erythromycin susceptibility may be attributable to gene mutations or functional overlap with other MLSB resistance determinants, including the erm and <italic>linA</italic> genes [<xref ref-type="bibr" rid="ref59">59</xref>].</p>
      </sec>
      <sec id="sec2-20">
        <title>Factors contributing to MDR emergence</title>
        <p>The overall MDR genotypic pattern (<xref ref-type="fig" rid="F7">Figure 7</xref>) corresponded well with the phenotypic resistance profiles. MDR <italic>S. aureus</italic> was detected across multiple animal sources, particularly in isolates from bovine milk and cats. The emergence of MDR strains is strongly linked to inappropriate and excessive antibiotic use in both livestock and companion animals. In veterinary practice, commonly used antimicrobial classes include fluoroquinolones, aminopenicillins (with or without &#x3B2;-lactamase inhibitors), cephalosporins, tetracyclines, sulfonamides, macro-lides, and glycopeptides for the treatment of bacterial infections [<xref ref-type="bibr" rid="ref60">60</xref>]. In many regions, antibiotic administration often occurs without laboratory diagnosis, adherence to withdrawal periods, or veterinary prescription, as reported in Rwanda, where over 85% of treatments were empirical or extra-label [<xref ref-type="bibr" rid="ref61">61</xref>]. These practices significantly contribute to the selection and spread of MDR <italic>S. aureus</italic> strains. The detection of multiple resistance genes in phenotypically susceptible isolates suggests the presence of latent resistance reservoirs that may be activated under selective pressure from antimicrobials. Silent or low-expression genes represent an important ecological risk, particularly in environments with frequent or inappropriate antibiotic exposure. The shared distribution of resistance genes across livestock and companion animals likely reflects overlapping ecological niches and common selective pressures, reinforcing the role of animals as interconnected reservoirs of AMR within a One Health framework.</p>
      </sec>
    </sec>
    <sec id="sec1-5" sec-type="conclusion">
      <title>CONCLUSION</title>
      <p>This study provides the first comparative insight into the resistance gene profiles of MDR <italic>S. aureus</italic> isolated from companion and livestock animals in Indonesia. Key results indicate that 55 (45.5%) of 121 isolates were confirmed as <italic>S. aureus</italic>, with the highest prevalence in bovine milk (80%) and rabbits (85.7%). All isolates exhibited MDR phenotypes, predominantly to penicillin (20%&#x2013;72%), tetracycline (17%&#x2013;28%), and clindamycin, with significant variation in erythromycin resistance across sources (p &lt; 0.05). Genotypically, <italic>tetK</italic> was ubiquitous (100%), followed by <italic>linA</italic> (85.5%), <italic>norA</italic> (81.8%), <italic>mecA</italic> (76.4%), and <italic>blaZ</italic> (69.1%), with co-occurrence of <italic>mecA</italic>, <italic>blaZ</italic>, and <italic>tetK</italic> suggesting horizontal gene transfer. Phenotypic-genotypic discrepancies were observed, potentially due to alternative mechanisms or regulatory factors, and complex gene combinations (&#x2265;4 genes) were present in over 50% of isolates.</p>
      <p>The practical implications of these findings underscore the zoonotic potential of MDR <italic>S. aureus</italic> in Indonesia, where close human&#x2013;animal interactions facilitate interspecies transmission. This highlights the need for integrated AMR surveillance and stewardship programs in veterinary practices, including prudent antibiotic use, improved hygiene in dairy farms, and routine screening in companion animal clinics to mitigate public health risks within a One Health framework.</p>
      <p>A major strength of this research lies in its multi-host approach, combining phenotypic and targeted PCR analyses across diverse animal sources, thereby providing a comprehensive baseline for AMR patterns in understudied regions, such as Yogyakarta and Central Java.</p>
      <p>Limitations include reliance on targeted PCR, which may miss the full resistome or genetic contexts; uneven sample sizes across species, potentially affecting generalizability; and the absence of human isolates to directly evaluate zoonotic transmission.</p>
      <p>Future scope should encompass whole-genome sequencing for detailed resistome mapping, investigation of biofilm and virulence factors, and longitudinal studies on transmission dynamics between animals, humans, and the environment to inform targeted interventions.</p>
      <p>In conclusion, these results underscore animals as critical AMR reservoirs and call for collaborative One Health strategies to curb the dissemination of MDR <italic>S. aureus</italic>, ultimately safeguarding animal and human health in Indonesia and beyond.</p>
    </sec>
    <sec id="sec1-6">
      <title>DATA AVAILABILITY</title>
      <p>All the generated data are included in the manuscript.</p>
    </sec>
    <sec id="sec1-7">
      <title>AUTHORS&#x2019; CONTRIBUTIONS</title>
      <p>ARPY: Performed the experiment, data analysis, and wrote the manuscript. SIO: Conceptualization, funding acquisition, supervision, and wrote the manuscript. GGA: Contributed to sample collection and the experiment. FA: Data analysis and review of the manuscript. All authors have read and approved the final manuscript.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>ACKNOWLEDGMENTS</title>
      <p>We thank the Indonesian Ministry of Higher Education, Science, and Technology for providing the PMDSU scholarship (Contract No. 048/E5/PG.02.00.PL/2024). We would like to thank the dairy farms in Central Java, Prof. Soeparwi Veterinary Hospital, and veterinary clinics in Yogyakarta and Central Java for providing samples for this study.</p>
    </ack>
    <sec id="sec1-8" sec-type="COI-statement">
      <title>COMPETING INTERESTS</title>
      <p>The authors declare that they have no competing interests.</p>
    </sec>
    <sec id="sec1-9">
      <title>PUBLISHER&#x2019;S NOTE</title>
      <p>Veterinary World remains neutral with regard to jurisdictional claims in the published institutional affiliations.</p>
    </sec>
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