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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
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<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.2026.1773768</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Nationwide seroprevalence of <italic>Mycobacterium bovis</italic> and <italic>Mycobacterium avium</italic> in domestic sows and wild boars in Korea under a one health framework</article-title>
</title-group>
<contrib-group>
<contrib equal-contrib="yes" contrib-type="author">
<name>
<surname>Moon</surname>
<given-names>Seon Jae</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<given-names>Yeonsu</given-names>
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<given-names>Ho-Seong</given-names>
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<aff id="aff1"><label>1</label><institution>College of Veterinary Medicine and Biosafety Research Institute, Jeonbuk National University</institution>, <city>Iksan</city>, <country country="kr">Republic of Korea</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Chonnam National University</institution>, <city>Gwangju</city>, <country country="kr">Republic of Korea</country></aff>
<aff id="aff3"><label>3</label><institution>College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University</institution>, <city>Chuncheon</city>, <country country="kr">Republic of Korea</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Ho-Seong Cho, <email xlink:href="mailto:hscho@jbnu.ac.kr">hscho@jbnu.ac.kr</email>; Yeonsu Oh, <email xlink:href="mailto:yeonoh@kangwon.ac.kr">yeonoh@kangwon.ac.kr</email></corresp>
<fn fn-type="equal" id="fn0001"><label>&#x2020;</label><p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-26">
<day>26</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1773768</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Moon, Bae, Cho, Yoo, Oh and Cho.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Moon, Bae, Cho, Yoo, Oh and Cho</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Tuberculosis caused by <italic>Mycobacterium bovis</italic> and infections due to nontuberculous mycobacteria, particularly the <italic>Mycobacterium avium</italic> complex (MAC), are increasingly recognized at the livestock&#x2013;wildlife&#x2013;human interface. In the Republic of Korea, bovine tuberculosis remains endemic in cattle, yet nationwide data on mycobacterial exposure in suids are lacking.</p>
</sec>
<sec>
<title>Methods</title>
<p>Between February 2023 and November 2024, serum samples from 1,366 domestic sows and 1,168 wild boars collected across nine administrative provinces were analyzed using validated commercial ELISAs to estimate apparent seroprevalence.</p>
</sec>
<sec>
<title>Results</title>
<p>Apparent seroprevalence of <italic>M. bovis</italic> was 4.54% (95% CI: 3.56%&#x2013;5.78%) in domestic sows and 5.91% (95% CI: 4.69%&#x2013;7.41%) in wild boars. Apparent seroprevalence of <bold>M. avium</bold> was 10.10% (95% CI: 8.61%&#x2013;11.81%) in domestic sows and 7.71% (95% CI: 6.31%&#x2013;9.38%) in wild boars. Significant provincial variation was detected only for <bold>M. avium</bold> in domestic sows and was driven by higher seropositivity in Gyeonggi Province, whereas no significant province-level heterogeneity was observed in wild boars.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Because ELISA-based serology reflects exposure rather than active infection, results should be interpreted with caution. In an international context, the observed seroprevalence in Korea was higher than that reported from intensive indoor production systems but lower than estimates from wildlife-rich ecosystems with established reservoir hosts. These findings indicate ongoing environmental exposure to mycobacteria in Korean suids and support the need for integrated One Health surveillance incorporating domestic pigs, wildlife, and complementary diagnostic approaches.</p>
</sec>
</abstract>
<kwd-group>
<kwd>domestic sows</kwd>
<kwd><italic>Mycobacterium avium</italic></kwd>
<kwd><italic>Mycobacterium bovis</italic></kwd>
<kwd>one health surveillance</kwd>
<kwd>seroprevalence</kwd>
<kwd>wild boar (<italic>Sus scrofa</italic>)</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through High-Risk Animal Infectious Disease Control Technology Development Project, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (RS-2024-00400152).</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="3"/>
<ref-count count="54"/>
<page-count count="11"/>
<word-count count="7394"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Agents and Disease</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Tuberculosis (TB) caused by <italic>Mycobacterium bovis</italic> and other members of the <italic>Mycobacterium tuberculosis</italic> complex (MTC) remains a persistent challenge at the livestock&#x2013;wildlife&#x2013;human interface. Although long-standing eradication programs have substantially reduced bovine TB in many regions, MTC continues to circulate in wildlife reservoirs and may spill over into domestic animals, including pigs. Under certain ecological conditions, pigs can function as spillover or bridge hosts within multi-host systems, thereby contributing to environmental persistence and transmission opportunities (<xref ref-type="bibr" rid="ref13">Di Marco et al., 2012</xref>; <xref ref-type="bibr" rid="ref7">Cano-Terriza et al., 2018</xref>). Evidence from Mediterranean ecosystems, including Spain and Italy, has demonstrated MTC infection in domestic and wild swine populations, highlighting their epidemiological relevance where livestock, wildlife, and shared environments overlap (<xref ref-type="bibr" rid="ref13">Di Marco et al., 2012</xref>; <xref ref-type="bibr" rid="ref7">Cano-Terriza et al., 2018</xref>; <xref ref-type="bibr" rid="ref32">Mu&#x00F1;oz-Mendoza et al., 2013</xref>; <xref ref-type="bibr" rid="ref21">Iovane et al., 2020</xref>). In contrast, countries dominated by intensive indoor pig production systems typically report low prevalence, emphasizing the influence of production ecology and wildlife contact on exposure risk (<xref ref-type="bibr" rid="ref5">Campbell et al., 2011</xref>; <xref ref-type="bibr" rid="ref41">Pedersen et al., 2017</xref>; <xref ref-type="bibr" rid="ref49">Sun et al., 2024</xref>).</p>
<p>In the Republic of Korea, bovine TB has remained endemic for more than a century, with recent outbreak continuing despite sustained national efforts. In parallel, MTC infections have been documented in suids (<xref ref-type="bibr" rid="ref22">Ku et al., 2016</xref>; <xref ref-type="bibr" rid="ref47">Seo et al., 2017</xref>). <italic>M. bovis</italic> isolated from a wild sow (<italic>Sus scrofa</italic>) in 2012, exhibited a genotype distinct from strains circulating in cattle and deer, suggesting an independent or previously unrecognized source of exposure (<xref ref-type="bibr" rid="ref22">Ku et al., 2016</xref>). In the same year, <italic>M. tuberculosis</italic> infection was confirmed in a domesticated wild boar through PCR and immunohistochemistry (<xref ref-type="bibr" rid="ref47">Seo et al., 2017</xref>). Although such reports are sporadic, they indicate that domestic pigs and wild boars in Korea may be exposed to MTC and could participate as bridge hosts at the livestock&#x2013;wildlife interface &#x2013; an issue central to One Health surveillance.</p>
<p>Beyond MTC, the <italic>Mycobacterium avium</italic> complex (MAC), comprising <italic>M. avium</italic> and <italic>M. intracellulare</italic>, presents additional challenges for veterinary and public health sectors. MAC organisms are widespread in the environment, and pigs are susceptible to infection, often developing granulomatous lesions in mesenteric lymph nodes detected at slaughter. Although infections are frequently subclinical, MAC is associated with carcass condemnation and economic loss and may carry zoonotic implications, particularly for immunocompromised individuals (<xref ref-type="bibr" rid="ref20">Hulinova Stromerova and Faldyna, 2018</xref>). In Korea, the incidence of MAC pulmonary disease in humans has increased, and <italic>M. avium</italic> is now frequently isolated in clinical settings (<xref ref-type="bibr" rid="ref23">Kwon et al., 2019</xref>). Despite these trends, MAC exposure in Korean swine remains poorly characterized, limiting understanding of potential environmental or cross-species exposure routes. Notably, MAC, especially <italic>M. avium</italic> subsp. <italic>hominissuis</italic>, has been frequently detected in slaughter pigs and linked to lymph node lesions, underscoring its relevance to herd health and the food chain (<xref ref-type="bibr" rid="ref16">Gcebe et al., 2023</xref>).</p>
<p>International studies report wide variability in mycobacterial prevalence in domestic pigs and wild suids, reflecting differences in production systems, wildlife reservoirs, and diagnostic approaches. Higher prevalence has been reported in wildlife-rich ecosystems and in settings with outdoor husbandry or established maintenance hosts, whereas low prevalence is typically observed in intensive indoor systems. However, direct comparisons among studies are constrained by methodological heterogeneity, including differences in the use of serology, PCR, culture, lesion inspection, or skin testing.</p>
<p>Taken together, the persistence of bovine TB, the occurrence of MTC infections in suids, and the growing public health significance of NTM &#x2013; including MAC &#x2013; highlight the need for integrated surveillance across animal species. Yet, no nationwide serological survey of <italic>M. bovis</italic> or <italic>M. avium</italic> exposure in swine has been conducted in Korea. This knowledge gap hampers risk assessment at the livestock&#x2013;wildlife&#x2013;human interface.</p>
<p>This study therefore aimed to (i) provide the first nationwide estimates of apparent seroprevalence of <italic>M. bovis</italic> and <italic>M. avium</italic> in domestic sows and wild boars in Korea, (ii) evaluate province-level heterogeneity while avoiding inference about spatial clustering beyond the resolution of the data, and (iii) position Korean swine mycobacterial exposure within a global One Health context.</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>Sample size determination and sample collection</title>
<p>Minimum sample sizes for domestic sows and wild boars (<italic>Sus scrofa</italic>) were calculated using population estimates from the 2024 Q2 Livestock Trend Survey (<xref ref-type="bibr" rid="ref48">Statistics Korea, 2025</xref>) and the 2023 Wildlife Survey (<xref ref-type="bibr" rid="ref34">National Institute of Biological Resources, 2023</xref>), respectively. The source population was estimated at approximately 975,000 domestic sows and 73,523 wild boars (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Estimated provincial population sizes and minimum sample sizes for domestic sows and wild boars in Korea used for nationwide serological surveillance.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Provinces</th>
<th align="center" valign="top" colspan="2">Domestic sows</th>
<th align="center" valign="top" colspan="2">Wild boars</th>
</tr>
<tr>
<th align="center" valign="top">Minimum sample size</th>
<th align="center" valign="top">Estimated population</th>
<th align="center" valign="top">Minimum sample size</th>
<th align="center" valign="top">Estimated population</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Gyeonggi</td>
<td align="center" valign="middle">171</td>
<td align="center" valign="middle">156,105</td>
<td align="center" valign="middle">51</td>
<td align="center" valign="middle">3,573</td>
</tr>
<tr>
<td align="left" valign="middle">Gangwon</td>
<td align="center" valign="middle">46</td>
<td align="center" valign="middle">42,343</td>
<td align="center" valign="middle">231</td>
<td align="center" valign="middle">16,157</td>
</tr>
<tr>
<td align="left" valign="middle">Chungbuk</td>
<td align="center" valign="middle">57</td>
<td align="center" valign="middle">52,371</td>
<td align="center" valign="middle">65</td>
<td align="center" valign="middle">4,566</td>
</tr>
<tr>
<td align="left" valign="middle">Chungnam</td>
<td align="center" valign="middle">226</td>
<td align="center" valign="middle">207,557</td>
<td align="center" valign="middle">83</td>
<td align="center" valign="middle">5,820</td>
</tr>
<tr>
<td align="left" valign="middle">Jeonbuk</td>
<td align="center" valign="middle">127</td>
<td align="center" valign="middle">115,733</td>
<td align="center" valign="middle">63</td>
<td align="center" valign="middle">4,381</td>
</tr>
<tr>
<td align="left" valign="middle">Jeonnam</td>
<td align="center" valign="middle">116</td>
<td align="center" valign="middle">105,979</td>
<td align="center" valign="middle">149</td>
<td align="center" valign="middle">10,418</td>
</tr>
<tr>
<td align="left" valign="middle">Gyeongbuk</td>
<td align="center" valign="middle">140</td>
<td align="center" valign="middle">127,697</td>
<td align="center" valign="middle">262</td>
<td align="center" valign="middle">18,246</td>
</tr>
<tr>
<td align="left" valign="middle">Gyeongnam</td>
<td align="center" valign="middle">133</td>
<td align="center" valign="middle">121,241</td>
<td align="center" valign="middle">145</td>
<td align="center" valign="middle">10,142</td>
</tr>
<tr>
<td align="left" valign="middle">Jeju</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">45,974</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">221</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="middle">1,066</td>
<td align="center" valign="middle">975,000</td>
<td align="center" valign="middle">1,052</td>
<td align="center" valign="middle">73,523</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Sample size calculations were performed in R version 4.3.2 (R Studio 2023.09.01), assuming an expected prevalence (P) of 0.5, a 95% confidence level (<italic>Z</italic> =&#x202F;1.96), and a margin of error (d) of 0.03. A stricter margin of error than the conventional 0.05 was selected to increase the minimum required sample size and thereby improve the precision of national prevalence estimates. At the study design stage, diagnostic sensitivity and specificity were not incorporated into the sample size formula, as reliable field-validated estimates for the commercial ELISA assays in domestic pigs and wild boars under low-prevalence conditions are currently limited.</p>
<p>An initial sample size assuming an infinite population was calculated as:</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo stretchy="true">[</mml:mo>
<mml:msup>
<mml:mi mathvariant="normal">Z</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">P</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi mathvariant="normal">P</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo stretchy="true">]</mml:mo>
<mml:mspace width="0.25em"/>
</mml:mrow>
<mml:mrow>
<mml:mspace width="0.25em"/>
<mml:msup>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
<p>The final required sample size (<italic>n</italic>) for each species was then obtained using finite population correction:</p>
<disp-formula id="E2">
<mml:math id="M2">
<mml:mi>n</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="true">[</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>+</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mo stretchy="true">]</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
<p>where <italic>N</italic> denotes the estimated source population size. Under these assumptions, the minimum required sample size was 1,066 domestic sows and 1,052 wild boars. Final target sample sizes were proportionally allocated across nine administrative provinces according to regional population distributions (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>Between February 2023 and November 2024, serum samples were obtained from 1,366 domestic sows and 1,168 wild boars across nine provinces. For domestic sows, approximately 5&#x202F;mL of blood was collected via jugular venipuncture into serum separator tubes (Ampulab Serum Separation Gel Tube; Soyagreentec, Seoul, Korea). Samples were transported on ice to the Swine Disease Laboratory at the College of Veterinary Medicine, Jeonbuk National University within a maximum of 24&#x202F;h after collection, centrifuged at 3,000&#x202F;&#x00D7; <italic>g</italic> for 10&#x202F;min, and stored at &#x2212;20 &#x00B0;C until analysis. Domestic sow samples were collected from breeding herds maintained under intensive indoor production systems. Wild boar samples were obtained post-mortem from animals harvested through routine population management and regulated hunting programs coordinated by local authorities. Blood samples were collected immediately after harvest and processed using the same laboratory procedures as domestic sow samples.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>ELISA-based serological detection</title>
<p>All sera were tested for antibodies to <italic>M. bovis</italic> and <italic>M. avium</italic> using commercial ELISA kits (ID Screen&#x00AE; Porcine Tuberculosis Indirect and ID Screen&#x00AE; <italic>Mycobacterium avium</italic> Indirect Multi-species; Innovative Diagnostics, Grabels, France), following the manufacturer&#x2019;s instructions. Samples were diluted 1:100 in dilution buffer, and optical densities (OD) were measured at 450&#x202F;nm.</p>
<p>The sample-to-positive (S/P) ratios were calculated as:</p>
<disp-formula id="E3">
<mml:math id="M3">
<mml:mi mathvariant="normal">S</mml:mi>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="normal">P</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>OD</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext>sample</mml:mtext>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>OD</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext>negative control</mml:mtext>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>OD</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext>positive control</mml:mtext>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>OD</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext>negative control</mml:mtext>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:math>
</disp-formula>
<p>Following the manufacturer&#x2019;s instructions, S/P ratios &#x2265; 40 (for <italic>M. bovis</italic>) or &#x2265; 50 (for <italic>M. avium</italic>) were interpreted as positive. Positive and negative control sera supplied with the kit were included on each plate to validate assay performance according to the manufacturer&#x2019;s quality criteria (OD ratio &#x003E; 3.0 between controls).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Statistical analyses</title>
<p>Apparent seroprevalence was calculated as the proportion of ELISA-positive samples among those tested. Exact two-sided 95% confidence intervals (CIs) were computed using the Clopper&#x2013;Pearson method (binom.test in R), which is conservative and suitable for low-prevalence settings.</p>
<p>Provincial differences were assessed using Fisher&#x2019;s exact test when expected cell counts were sparse (&#x003C;5), and Pearson&#x2019;s chi-square test when assumptions were met. Specifically, Fisher&#x2019;s exact test was applied for <italic>M. bovis</italic> in sows and for both antigens in wild boars, whereas Pearson&#x2019;s chi-square test was used for <italic>M. avium</italic> in sows. When global testing indicated significance (<italic>&#x03B1;</italic>&#x202F;=&#x202F;0.05, two-sided), post-hoc cellwise diagnostics were performed using standardized Pearson residuals; |z|&#x202F;&#x2265;&#x202F;1.96 was considered noteworthy. <italic>p</italic>-values were adjusted across provinces (<italic>m</italic>&#x202F;=&#x202F;9) using Holm&#x2019;s method.</p>
<p>Samples with missing or indeterminate ELISA results were excluded under complete-case analysis; however, no samples were excluded for this reason (0 of 2,534 samples). A farm was classified as seropositive if &#x2265;1 sampled sow from that farm tested ELISA-positive. As supplementary summaries, province-specific prevalence ratios with 95% CIs were calculated. True prevalence was not estimated because robust sensitivity and specificity values for these ELISAs in domestic pigs and wild boars under low-prevalence field conditions were not consistently available.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<label>3</label>
<title>Results</title>
<sec id="sec7">
<label>3.1</label>
<title>Apparent seroprevalence of <italic>Mycobacterium bovis</italic> antibodies</title>
<p>Among 1,366 sow sera, 62 tested positive for <italic>M. bovis</italic> antibodies, yielding an apparent seroprevalence of 4.54% (95% CI: 3.56%&#x2013;5.78%) (<xref ref-type="table" rid="tab2">Table 2</xref>). Provincial seroprevalence values ranged from 3.33% to 5.00%, with no statistically significant differences detected among provinces (Fisher&#x2019;s exact test, <italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). The provincial distribution is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Apparent seroprevalence of <italic>Mycobacterium bovis</italic> in domestic sows and wild boars in Korea.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region (Province)</th>
<th align="center" valign="top">No. of Positive sows / tested</th>
<th align="center" valign="top">Apparent prevalence (%) (95% CI)</th>
<th align="center" valign="top">No. of positive pig farms / tested</th>
<th align="center" valign="top">Apparent prevalence (%) (95% CI)</th>
<th align="center" valign="top">No. of positive wild boars / tested</th>
<th align="center" valign="top">Apparent prevalence (%) (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gyeonggi</td>
<td align="center" valign="top">14/303</td>
<td align="center" valign="top">4.62 (2.77&#x2013;7.61)</td>
<td align="center" valign="top">11/92</td>
<td align="center" valign="top">11.96 (6.81&#x2013;20.15)</td>
<td align="center" valign="top">6/65</td>
<td align="center" valign="top">9.23 (4.30&#x2013;18.71)</td>
</tr>
<tr>
<td align="left" valign="top">Gangwon</td>
<td align="center" valign="top">3/60</td>
<td align="center" valign="top">5.00 (1.71&#x2013;13.70)</td>
<td align="center" valign="top">2/18</td>
<td align="center" valign="top">11.11 (3.10&#x2013;32.80)</td>
<td align="center" valign="top">12/245</td>
<td align="center" valign="top">4.90 (2.82&#x2013;8.36)</td>
</tr>
<tr>
<td align="left" valign="top">Chungbuk</td>
<td align="center" valign="top">3/65</td>
<td align="center" valign="top">4.62 (1.58&#x2013;12.71)</td>
<td align="center" valign="top">2/19</td>
<td align="center" valign="top">10.53 (2.94&#x2013;31.39)</td>
<td align="center" valign="top">5/76</td>
<td align="center" valign="top">6.58 (2.84&#x2013;14.49)</td>
</tr>
<tr>
<td align="left" valign="top">Chungnam</td>
<td align="center" valign="top">12/280</td>
<td align="center" valign="top">4.29 (2.47&#x2013;7.34)</td>
<td align="center" valign="top">9/78</td>
<td align="center" valign="top">11.54 (6.19&#x2013;20.50)</td>
<td align="center" valign="top">7/92</td>
<td align="center" valign="top">7.61 (3.73&#x2013;14.88)</td>
</tr>
<tr>
<td align="left" valign="top">Jeonbuk</td>
<td align="center" valign="top">9/185</td>
<td align="center" valign="top">4.86 (2.58&#x2013;8.99)</td>
<td align="center" valign="top">6/53</td>
<td align="center" valign="top">11.32 (5.28&#x2013;22.34)</td>
<td align="center" valign="top">6/80</td>
<td align="center" valign="top">7.50 (3.48&#x2013;15.41)</td>
</tr>
<tr>
<td align="left" valign="top">Jeonnam</td>
<td align="center" valign="top">6/120</td>
<td align="center" valign="top">5.00 (2.31&#x2013;10.48)</td>
<td align="center" valign="top">4/35</td>
<td align="center" valign="top">11.43 (4.54&#x2013;25.95)</td>
<td align="center" valign="top">8/160</td>
<td align="center" valign="top">5.00 (2.56&#x2013;9.56)</td>
</tr>
<tr>
<td align="left" valign="top">Gyeongbuk</td>
<td align="center" valign="top">7/150</td>
<td align="center" valign="top">4.67 (2.28&#x2013;9.32)</td>
<td align="center" valign="top">5/46</td>
<td align="center" valign="top">10.87 (4.74&#x2013;23.06)</td>
<td align="center" valign="top">14/270</td>
<td align="center" valign="top">5.19 (3.11&#x2013;8.51)</td>
</tr>
<tr>
<td align="left" valign="top">Gyeongnam</td>
<td align="center" valign="top">6/143</td>
<td align="center" valign="top">4.20 (1.94&#x2013;8.85)</td>
<td align="center" valign="top">5/45</td>
<td align="center" valign="top">11.11 (4.87&#x2013;23.63)</td>
<td align="center" valign="top">10/155</td>
<td align="center" valign="top">6.45 (3.54&#x2013;11.47)</td>
</tr>
<tr>
<td align="left" valign="top">Jeju</td>
<td align="center" valign="top">2/60</td>
<td align="center" valign="top">3.33 (0.92&#x2013;11.36)</td>
<td align="center" valign="top">2/20</td>
<td align="center" valign="top">10.00 (2.79&#x2013;30.10)</td>
<td align="center" valign="top">1/25</td>
<td align="center" valign="top">4.00 (0.71&#x2013;19.54)</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">62/1,366</td>
<td align="center" valign="top">4.54 (3.56&#x2013;5.78)</td>
<td align="center" valign="top">46/406</td>
<td align="center" valign="top">11.33 (8.62&#x2013;14.77)</td>
<td align="center" valign="top">69/1,168</td>
<td align="center" valign="top">5.91 (4.69&#x2013;7.41)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Apparent seroprevalence was calculated as the proportion of ELISA-positive samples among those tested.</p>
<p>Exact two-sided 95% confidence intervals (CIs) were estimated using the Clopper&#x2013;Pearson method.</p>
<p>Provincial differences were assessed using Fisher&#x2019;s exact test. No significant differences among provinces were detected (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Provincial seroprevalence of <italic>Mycobacterium bovis</italic> and <italic>Mycobacterium avium</italic> antibodies in domestic sows and wild boars across Korea (2023.02&#x2013;2024.11). Choropleth maps illustrate the apparent seroprevalence (%) of <italic>M. bovis</italic> and <italic>M. avium</italic> in <bold>(A)</bold> domestic sows (<italic>n</italic>&#x202F;=&#x202F;1,366) and <bold>(B)</bold> wild boars (<italic>n</italic>&#x202F;=&#x202F;1,168) across nine administrative provinces of Korea, based on commercial ELISA results (ID Screen&#x00AE; Porcine Tuberculosis Indirect; ID Screen&#x00AE; <italic>M. avium</italic> Indirect Multi-species). Provincial differences were evaluated using Pearson&#x2019;s chi-square test or Fisher&#x2019;s exact test, as appropriate. Significant regional variation was observed only for <italic>M. avium</italic> seropositivity in domestic sows, with higher-than-expected prevalence in the Gyeonggi region (Holm-adjusted <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). Provinces with limited wild boar sample sizes (e.g., Jeju) should be interpreted with caution.</p>
</caption>
<graphic xlink:href="fmicb-17-1773768-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Map of South Korea divided by province showing seroprevalence percentages of Mycobacterium avium and Mycobacterium bovis among wild boar and sow populations, with color-coded bar charts for each region and a reference scale from zero percent to twenty percent.</alt-text>
</graphic>
</fig>
<p>Of the 1,168 wild boar samples analyzed, 69 were positive for <italic>M. bovis</italic> antibodies, resulting in an apparent seroprevalence of 5.91% (95% CI: 4.69%&#x2013;7.41%) (<xref ref-type="table" rid="tab2">Table 2</xref>). Provincial estimates ranged from 4.00% (Jeju) to 9.23% (Gyeonggi), but no statistically significant provincial differences were observed (Fisher&#x2019;s exact test, <italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>Apparent seroprevalence of <italic>Mycobacterium avium</italic> antibodies</title>
<p>A total of 138 of 1,366 sows were seropositive for <italic>M. avium</italic>, corresponding to an apparent seroprevalence of 10.10% (95% CI: 8.61%&#x2013;11.81%) (<xref ref-type="table" rid="tab3">Table 3</xref>). Chi-square testing revealed significant provincial heterogeneity (<italic>&#x03C7;</italic><sup>2</sup>&#x202F;=&#x202F;18.3, df&#x202F;=&#x202F;8, Holm-adjusted <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The Gyeonggi Province exhibited significantly higher seropositivity (15.51%), as supported by standardized residual diagnostics (Holm-adjusted <italic>p</italic>&#x202F;=&#x202F;0.007).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Apparent seroprevalence of <italic>Mycobacterium avium</italic> in domestic sows and wild boars in Korea.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region (Province)</th>
<th align="center" valign="top">No. of positive Sows / Tested</th>
<th align="center" valign="top">Apparent prevalence (%) (95% CI)</th>
<th align="center" valign="top">No. of positive pig farms / tested</th>
<th align="center" valign="top">Apparent prevalence (%) (95% CI)</th>
<th align="center" valign="top">No. of positive wild boars / tested</th>
<th align="center" valign="top">Apparent prevalence (%) (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gyeonggi</td>
<td align="center" valign="top">47/303</td>
<td align="center" valign="top">15.51&#x002A; (11.87&#x2013;20.02)</td>
<td align="center" valign="top">24/92</td>
<td align="center" valign="top">26.09 (18.23&#x2013;35.86)</td>
<td align="center" valign="middle">5/65</td>
<td align="center" valign="top">7.69 (3.33&#x2013;16.78)</td>
</tr>
<tr>
<td align="left" valign="top">Gangwon</td>
<td align="center" valign="top">5/60</td>
<td align="center" valign="top">8.33 (3.61&#x2013;18.07)</td>
<td align="center" valign="top">4/18</td>
<td align="center" valign="top">22.22 (9.00&#x2013;45.23)</td>
<td align="center" valign="middle">15/245</td>
<td align="center" valign="top">6.12 (3.75&#x2013;9.85)</td>
</tr>
<tr>
<td align="left" valign="top">Chungbuk</td>
<td align="center" valign="top">7/65</td>
<td align="center" valign="top">10.77 (5.32&#x2013;20.06)</td>
<td align="center" valign="top">4/19</td>
<td align="center" valign="top">21.05 (8.55&#x2013;42.42)</td>
<td align="center" valign="middle">7/76</td>
<td align="center" valign="top">9.21 (4.53&#x2013;17.81)</td>
</tr>
<tr>
<td align="left" valign="top">Chungnam</td>
<td align="center" valign="top">25/280</td>
<td align="center" valign="top">8.93 (6.12&#x2013;12.85)</td>
<td align="center" valign="top">14/78</td>
<td align="center" valign="top">17.95 (11.01&#x2013;27.83)</td>
<td align="center" valign="middle">10/92</td>
<td align="center" valign="top">10.87 (6.01&#x2013;18.86)</td>
</tr>
<tr>
<td align="left" valign="top">Jeonbuk</td>
<td align="center" valign="top">15/185</td>
<td align="center" valign="top">8.11 (4.97&#x2013;12.95)</td>
<td align="center" valign="top">8/53</td>
<td align="center" valign="top">15.09 (7.84&#x2013;26.90)</td>
<td align="center" valign="middle">9/80</td>
<td align="center" valign="top">11.25 (6.03&#x2013;20.02)</td>
</tr>
<tr>
<td align="left" valign="top">Jeonnam</td>
<td align="center" valign="top">15/120</td>
<td align="center" valign="top">12.50 (7.72&#x2013;19.60)</td>
<td align="center" valign="top">6/35</td>
<td align="center" valign="top">17.14 (8.09&#x2013;32.66)</td>
<td align="center" valign="middle">10/160</td>
<td align="center" valign="top">6.25 (3.43&#x2013;11.12)</td>
</tr>
<tr>
<td align="left" valign="top">Gyeongbuk</td>
<td align="center" valign="top">7/150</td>
<td align="center" valign="top">4.67 (2.28&#x2013;9.32)</td>
<td align="center" valign="top">7/46</td>
<td align="center" valign="top">15.22 (7.61&#x2013;28.35)</td>
<td align="center" valign="middle">17/270</td>
<td align="center" valign="top">6.30 (3.97&#x2013;9.85)</td>
</tr>
<tr>
<td align="left" valign="top">Gyeongnam</td>
<td align="center" valign="top">12/143</td>
<td align="center" valign="top">8.39 (4.87&#x2013;14.09)</td>
<td align="center" valign="top">8/45</td>
<td align="center" valign="top">17.78 (9.16&#x2013;31.83)</td>
<td align="center" valign="middle">15/155</td>
<td align="center" valign="top">9.68 (5.95&#x2013;15.35)</td>
</tr>
<tr>
<td align="left" valign="top">Jeju</td>
<td align="center" valign="top">5/60</td>
<td align="center" valign="top">8.33 (3.61&#x2013;18.07)</td>
<td align="center" valign="top">3/20</td>
<td align="center" valign="top">15.00 (5.23&#x2013;36.03)</td>
<td align="center" valign="middle">2/25</td>
<td align="center" valign="top">8.00 (2.22&#x2013;24.97)</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">138/1,366</td>
<td align="center" valign="top">10.10 (8.61&#x2013;11.81)</td>
<td align="center" valign="top">78/406</td>
<td align="center" valign="top">19.21 (15.71&#x2013;23.25)</td>
<td align="center" valign="middle">90/1,168</td>
<td align="center" valign="top">7.71 (6.31&#x2013;9.38)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Apparent seroprevalence was calculated as the proportion of ELISA-positive samples among those tested.</p>
<p>Exact two-sided 95% confidence intervals (CIs) were estimated using the Clopper&#x2013;Pearson method.</p>
<p>Provincial differences were evaluated using Pearson&#x2019;s chi-square test for sows and Fisher&#x2019;s exact test for wild boars.</p>
<p>&#x002A;Indicates statistically significant difference after Holm adjustment (&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
<p>In wild boars, 90 of 1,168 samples were seropositive for <italic>M. avium</italic>, resulting in 7.71% (95% CI: 6.31&#x2013;9.38%) (<xref ref-type="table" rid="tab3">Table 3</xref>). Provincial prevalence ranged from 6.12% (Gangwon) to 11.25% (Jeonbuk), with no statistically significant provincial variation (Fisher&#x2019;s exact test, <italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
</sec>
<sec id="sec9">
<label>3.3</label>
<title>Contextual comparison with global prevalence data</title>
<p>For broader epidemiological context, <xref ref-type="table" rid="tab4">Table 4</xref> compares prevalence estimates from the present study with reported swine tuberculosis prevalence worldwide, derived using diverse diagnostic methods including ELISA, PCR, bacteriology, and skin testing. Seroprevalence estimates for Korean sows and wild boars fall within the lower-to-middle range of reported international values; however, comparisons should be interpreted cautiously due to methodological heterogeneity across studies.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Global prevalence estimates and detection methods for swine tuberculosis in domestic pigs and wild suids, including results from the present study (Korea).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Country</th>
<th align="center" valign="top">Year</th>
<th align="center" valign="top">Sampling time</th>
<th align="center" valign="top">No. positives</th>
<th align="center" valign="top">No. tested</th>
<th align="center" valign="top">Prevalence</th>
<th align="left" valign="top">Detection method</th>
<th align="left" valign="top">Species</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Korea (present study)</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="top">2023.02&#x2013;2024.11</td>
<td align="center" valign="top">62 (sows); 69 (wild boars)</td>
<td align="center" valign="top">1,366 (sows); 1,168 (wild boars)</td>
<td align="center" valign="top">0.045/0.059</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Pigs / Wild boars</td>
</tr>
<tr>
<td align="left" valign="top" colspan="8">Africa</td>
</tr>
<tr>
<td align="left" valign="top">Burkina Faso (<xref ref-type="bibr" rid="ref44">Sanou et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">2017.08&#x2013;2017.12</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">2,430</td>
<td align="center" valign="top">0.003</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Egypt (<xref ref-type="bibr" rid="ref31">Mohamed et al., 2009</xref>)</td>
<td align="center" valign="top">2009</td>
<td align="center" valign="top">2004.04&#x2013;2005.10</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">745</td>
<td align="center" valign="top">0.040</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Ethiopia (<xref ref-type="bibr" rid="ref3">Arega et al., 2013</xref>)</td>
<td align="center" valign="top">2013</td>
<td align="center" valign="top">2011.03&#x2013;2011.09</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">841</td>
<td align="center" valign="top">0.014</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Ethiopia (<xref ref-type="bibr" rid="ref12">Demissie et al., 2020</xref>)</td>
<td align="center" valign="top">2020</td>
<td align="center" valign="top">2016.09&#x2013;2017.12</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">329</td>
<td align="center" valign="top">0.030</td>
<td align="left" valign="top">Tuberculin skin test</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Morocco (<xref ref-type="bibr" rid="ref14">El Mrini et al., 2016</xref>)</td>
<td align="center" valign="top">2016</td>
<td align="center" valign="top">2009&#x2013;2011</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">0.140</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">South Africa (<xref ref-type="bibr" rid="ref43">Roos et al., 2018</xref>)</td>
<td align="center" valign="top">2018</td>
<td align="center" valign="top">2013&#x2013;2015</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">170</td>
<td align="center" valign="top">0.376</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Warthogs</td>
</tr>
<tr>
<td align="left" valign="top">South Africa (<xref ref-type="bibr" rid="ref35">Neiffer et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">1999.05&#x2013;2016.08</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">0.400</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Warthogs</td>
</tr>
<tr>
<td align="left" valign="top">South Africa (<xref ref-type="bibr" rid="ref29">Mareledwane et al., 2024</xref>)</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="top">Unclear</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Uganda (<xref ref-type="bibr" rid="ref33">Muwonge et al., 2010</xref>)</td>
<td align="center" valign="top">2010</td>
<td align="center" valign="top">2008.09&#x2013;2009.02</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">997</td>
<td align="center" valign="top">0.032</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top" colspan="8">Asia</td>
</tr>
<tr>
<td align="left" valign="top">China (<xref ref-type="bibr" rid="ref49">Sun et al., 2024</xref>)</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="top">2021.02&#x2013;2021.06</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1,379</td>
<td align="center" valign="top">0.002</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">India (<xref ref-type="bibr" rid="ref39">Palanivel et al., 2011</xref>)</td>
<td align="center" valign="top">2011</td>
<td align="center" valign="top">2008.05&#x2013;2010.02</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">0.083</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">India (<xref ref-type="bibr" rid="ref19">Gupta et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">2017.04&#x2013;2020.02</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">0.071</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Malaysia (<xref ref-type="bibr" rid="ref26">Lekko et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">Unclear</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">0.167</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Malaysia (<xref ref-type="bibr" rid="ref25">Lekko et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">2019.04&#x2013;2020.08</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">0.300</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top" colspan="8">Europe</td>
</tr>
<tr>
<td align="left" valign="top">France (<xref ref-type="bibr" rid="ref42">Richomme et al., 2019</xref>)</td>
<td align="center" valign="top">2019</td>
<td align="center" valign="top">2014&#x2013;2016</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">495</td>
<td align="center" valign="top">0.016</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Italy (<xref ref-type="bibr" rid="ref13">Di Marco et al., 2012</xref>)</td>
<td align="center" valign="top">2012</td>
<td align="center" valign="top">2009</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">119</td>
<td align="center" valign="top">0.034</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Italy (<xref ref-type="bibr" rid="ref1">Amato et al., 2017</xref>)</td>
<td align="center" valign="top">2017</td>
<td align="center" valign="top">2013</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">299</td>
<td align="center" valign="top">0.080</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Italy (<xref ref-type="bibr" rid="ref21">Iovane et al., 2020</xref>)</td>
<td align="center" valign="top">2020</td>
<td align="center" valign="top">2016&#x2013;2017</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">434</td>
<td align="center" valign="top">0.106</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Poland (<xref ref-type="bibr" rid="ref38">Or&#x0142;owska et al., 2020</xref>)</td>
<td align="center" valign="top">2020</td>
<td align="center" valign="top">2011&#x2013;2017</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">0.382</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Poland (<xref ref-type="bibr" rid="ref52">Welz et al., 2023</xref>)</td>
<td align="center" valign="top">2023</td>
<td align="center" valign="top">2013&#x2013;2020</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">0.442</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Portugal (<xref ref-type="bibr" rid="ref45">Santos et al., 2009</xref>)</td>
<td align="center" valign="top">2009</td>
<td align="center" valign="top">2005&#x2013;2007</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">162</td>
<td align="center" valign="top">0.111</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Portugal (<xref ref-type="bibr" rid="ref28">Madeira et al., 2017</xref>)</td>
<td align="center" valign="top">2017</td>
<td align="center" valign="top">2011.06.01&#x2013;2014.05.31</td>
<td align="center" valign="top">191</td>
<td align="center" valign="top">2,191</td>
<td align="center" valign="top">0.087</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Portugal (<xref ref-type="bibr" rid="ref46">Santos et al., 2018</xref>)</td>
<td align="center" valign="top">2018</td>
<td align="center" valign="top">2006&#x2013;2013</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">678</td>
<td align="center" valign="top">0.024</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Portugal (<xref ref-type="bibr" rid="ref8">Cardoso et al., 2024</xref>)</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="top">Unclear</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">211</td>
<td align="center" valign="top">0.062</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Slovenia (<xref ref-type="bibr" rid="ref40">Pate et al., 2024</xref>)</td>
<td align="center" valign="top" rowspan="2">2024</td>
<td align="center" valign="top">2016&#x2013;2017</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">676</td>
<td align="center" valign="top">0.000</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top" rowspan="2">Wild boars</td>
</tr>
<tr>
<td align="center" valign="top">2018&#x2013;2019</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">132</td>
<td align="center" valign="top">0.000</td>
<td align="left" valign="top">ELISA</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Spain (<xref ref-type="bibr" rid="ref32">Mu&#x00F1;oz-Mendoza et al., 2013</xref>)</td>
<td align="center" valign="top" rowspan="2">2013</td>
<td align="center" valign="top" rowspan="2">2008&#x2013;2012</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">1,275</td>
<td align="center" valign="top">0.026</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top" rowspan="2">Wild boars</td>
</tr>
<tr>
<td align="center" valign="top">22</td>
<td align="center" valign="top">1,057</td>
<td align="center" valign="top">0.021</td>
<td align="left" valign="top">ELISA</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref6">Cano-Manuel et al., 2014</xref>)</td>
<td align="center" valign="top">2014</td>
<td align="center" valign="top">2002.10&#x2013;2003.2, 2003.10&#x2013;2004.2, 2004.10&#x2013;2005.2, 2005.10&#x2013;2006.2, 2006.10&#x2013;2007.2, 2008.10&#x2013;2009.2, 2009.10&#x2013;2010.2</td>
<td align="center" valign="top">280</td>
<td align="center" valign="top">1,102</td>
<td align="center" valign="top">0.254</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref30">Mentaberre et al., 2014</xref>)</td>
<td align="center" valign="top">2014</td>
<td align="center" valign="top">2004&#x2013;2012</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">745</td>
<td align="center" valign="top">0.138</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref18">Gort&#x00E1;zar et al., 2017</xref>)</td>
<td align="center" valign="top">2017</td>
<td align="center" valign="top">2011&#x2013;2015</td>
<td align="center" valign="top">329</td>
<td align="center" valign="top">7,676</td>
<td align="center" valign="top">0.042</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref7">Cano-Terriza et al., 2018</xref>)</td>
<td align="center" valign="top">2018</td>
<td align="center" valign="top">2015&#x2013;2017</td>
<td align="center" valign="top">82</td>
<td align="center" valign="top">3,622</td>
<td align="center" valign="top">0.023</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Pigs</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref11">Ciaravino et al., 2021</xref>)</td>
<td align="center" valign="top">2020</td>
<td align="center" valign="top">2015.09&#x2013;2016.03, 2016.09&#x2013;2017.03, 2017.09&#x2013;2018.03, 2018.09&#x2013;2019.03, 2019.09&#x2013;2020.03</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">278</td>
<td align="center" valign="top">0.061</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref50">Varela-Castro et al., 2020</xref>)</td>
<td align="center" valign="top">2020</td>
<td align="center" valign="top">2010&#x2013;2016</td>
<td align="center" valign="top">326</td>
<td align="center" valign="top">1902</td>
<td align="center" valign="top">0.171</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Spain (<xref ref-type="bibr" rid="ref51">Varela-Castro et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">2010&#x2013;2019</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">894</td>
<td align="center" valign="top">0.011</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Switzerland (<xref ref-type="bibr" rid="ref17">Ghielmetti et al., 2021</xref>)</td>
<td align="center" valign="top">2021</td>
<td align="center" valign="top">2017&#x2013;2018</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">176</td>
<td align="center" valign="top">0.028</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top" colspan="8">North America</td>
</tr>
<tr>
<td align="left" valign="top">U.S. (<xref ref-type="bibr" rid="ref5">Campbell et al., 2011</xref>)</td>
<td align="center" valign="top">2011</td>
<td align="center" valign="top">2010.06&#x2013;2010.09</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">98</td>
<td align="center" valign="top">0.000</td>
<td align="left" valign="top">Histopathology, Bacteriology</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">U.S. (<xref ref-type="bibr" rid="ref41">Pedersen et al., 2017</xref>)</td>
<td align="center" valign="top">2017</td>
<td align="center" valign="top">2013.10.01&#x2013;2014.09.30</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2,725</td>
<td align="center" valign="top">0.000</td>
<td align="left" valign="top">ELISA</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top" colspan="8">South America</td>
</tr>
<tr>
<td align="left" valign="top">Brazil (<xref ref-type="bibr" rid="ref27">Maciel et al., 2018</xref>)</td>
<td align="center" valign="top">2017</td>
<td align="center" valign="top">Unclear</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">80</td>
<td align="center" valign="top">0.313</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">Argentina (<xref ref-type="bibr" rid="ref4">Barandiaran et al., 2024</xref>)</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="top">Unclear</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">311</td>
<td align="center" valign="top">0.109</td>
<td align="left" valign="top">PCR</td>
<td align="left" valign="top">Wild boars</td>
</tr>
<tr>
<td align="left" valign="top">New Zealand (<xref ref-type="bibr" rid="ref37">Nugent et al., 2012</xref>)</td>
<td align="center" valign="top">2011</td>
<td align="center" valign="top">1996&#x2013;2003, 2003&#x2013;2007</td>
<td align="center" valign="top">293</td>
<td align="center" valign="top">785</td>
<td align="center" valign="top">0.373</td>
<td align="left" valign="top">Bacteriology</td>
<td align="left" valign="top">Wild boars</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Prevalence estimates were derived using different diagnostic approaches, including serology, PCR, bacteriology, and skin testing, and should be interpreted in the context of methodological heterogeneity across studies. Data for countries other than Korea were compiled from <xref ref-type="bibr" rid="ref54">Zheng et al. (2024)</xref>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec10">
<label>4</label>
<title>Discussion</title>
<p>This study provides the first nationwide serological assessment of exposure to <italic>M. bovis</italic> and <italic>M. avium</italic> in domestic sows and wild boars in Korea. By collecting samples across nine administrative provinces and applying validated ELISA assays, we establish baseline data that contribute to understanding mycobacterial exposure at the livestock&#x2013;wildlife interface and provide a reference point for future surveillance efforts.</p>
<p>The apparent seroprevalence of <italic>M. bovis</italic> observed in domestic sows (4.54%) exceeds levels reported from several regions characterized by intensive indoor or semi-intensive pig production systems, including southern Spain (<xref ref-type="bibr" rid="ref7">Cano-Terriza et al., 2018</xref>). Similarly, the seroprevalence detected in wild boars (5.91%) was higher than estimates reported from Portugal (<xref ref-type="bibr" rid="ref46">Santos et al., 2018</xref>), the United States (<xref ref-type="bibr" rid="ref41">Pedersen et al., 2017</xref>), Iberian Atlantic Spain (<xref ref-type="bibr" rid="ref32">Mu&#x00F1;oz-Mendoza et al., 2013</xref>), and Slovenia (<xref ref-type="bibr" rid="ref40">Pate et al., 2024</xref>). In contrast, the Korean estimates were lower than those reported from multi-host systems in Campania, Italy (<xref ref-type="bibr" rid="ref21">Iovane et al., 2020</xref>), northern Spain (<xref ref-type="bibr" rid="ref50">Varela-Castro et al., 2020</xref>), and Malaysia (<xref ref-type="bibr" rid="ref25">Lekko et al., 2021</xref>), where wildlife&#x2013;livestock interfaces are known to support sustained transmission. Substantially, higher seroprevalence has been documented in African ecosystems, where warthogs (<italic>Phacochoerus africanus</italic>) function as maintenance hosts, with reported values reaching 37.6%&#x2013;40.0% in South Africa (<xref ref-type="bibr" rid="ref43">Roos et al., 2018</xref>; <xref ref-type="bibr" rid="ref35">Neiffer et al., 2021</xref>). Collectively, these comparisons suggest that Korea occupies an intermediate epidemiological position between intensive production systems with limited wildlife contact and ecosystems characterized by persistent wildlife reservoirs. Nevertheless, such comparisons should be interpreted cautiously, as reported prevalence is strongly influenced by host populations, ecological context, and diagnostic methodology.</p>
<p>When placed in a broader international context, detection frequencies for <italic>M. bovis</italic> in suids have generally been low but variable across regions. For example, individual seroprevalence in Gansu Province, China, was reported at 0.22% (<xref ref-type="bibr" rid="ref49">Sun et al., 2024</xref>), whereas higher detection rates have been described in Mediterranean settings, including 3.4% of slaughtered pigs in Sicily, Italy (<xref ref-type="bibr" rid="ref13">Di Marco et al., 2012</xref>), and 2.3% seroprevalence among Iberian pigs in southern Spain (<xref ref-type="bibr" rid="ref7">Cano-Terriza et al., 2018</xref>). For the MAC, reported frequencies likewise vary, ranging from 2.4% in slaughtered pigs in Egypt (<xref ref-type="bibr" rid="ref31">Mohamed et al., 2009</xref>) to 4.6% in wild boars from Spain&#x2019;s Iberian Atlantic region (<xref ref-type="bibr" rid="ref32">Mu&#x00F1;oz-Mendoza et al., 2013</xref>) and 1.9% in wild boars from southern Spain (<xref ref-type="bibr" rid="ref15">Garc&#x00ED;a-Jim&#x00E9;nez et al., 2015</xref>). Relative to these reports, the apparent seroprevalence observed in Korean domestic sows and wild boars does not indicate unusually high exposure but is consistent with measurable, low-to-moderate exposure levels.</p>
<p>The seroprevalence profile observed in Korea likely reflects the predominance of intensive indoor pig production systems, which limit direct contact between domestic pigs and wildlife, combined with potential environmental exposure arising from other reservoirs. Bovine tuberculosis continues to be reported in Korean cattle herds (<xref ref-type="bibr" rid="ref2">Animal and Plant Quarantine Agency, 2025</xref>; <xref ref-type="bibr" rid="ref53">Yoo et al., 2025</xref>), and prior documentation of <italic>M. bovis</italic> infection in a wild sow (<xref ref-type="bibr" rid="ref22">Ku et al., 2016</xref>) and <italic>M. tuberculosis</italic> detection in a wild boar (<xref ref-type="bibr" rid="ref47">Seo et al., 2017</xref>) supports the plausibility of multi-host exposure pathways. However, serological data alone cannot identify sources of infection or infer transmission routes, and the present findings should therefore be interpreted as evidence of exposure rather than active transmission.</p>
<p>Exposure to <italic>M. avium</italic> was more common than exposure to <italic>M. bovis</italic> in both domestic sows and wild boars, with apparent seroprevalence reaching 10.10% and 7.71%, respectively. Direct quantitative comparisons with previous studies are constrained by methodological heterogeneity, as many investigations of MAC in pigs and wild suids rely on culture or molecular detection rather than serology. Nonetheless, international studies demonstrate considerable variability in MAC detection in slaughter pigs and wild boars (<xref ref-type="bibr" rid="ref32">Mu&#x00F1;oz-Mendoza et al., 2013</xref>; <xref ref-type="bibr" rid="ref31">Mohamed et al., 2009</xref>; <xref ref-type="bibr" rid="ref15">Garc&#x00ED;a-Jim&#x00E9;nez et al., 2015</xref>). The veterinary and public health relevance of MAC infections has been increasingly recognized, given their association with carcass condemnation in pigs and the rising incidence of MAC pulmonary disease in humans, including in Korea (<xref ref-type="bibr" rid="ref20">Hulinova Stromerova and Faldyna, 2018</xref>; <xref ref-type="bibr" rid="ref23">Kwon et al., 2019</xref>).</p>
<p>In the present study, significant regional variation in <italic>M. avium</italic> exposure was observed only among domestic sows, with the highest apparent seroprevalence detected in the Gyeonggi region. Studies addressing MAC exposure in domestic pigs or wild boars in Korea and East Asia remain extremely limited, underscoring the lack of regional baseline data. This finding should be interpreted cautiously, as statistical significance was driven by a single province. Gyeonggi Province encompasses the highest density of large-scale swine operations and complex peri-urban interfaces, suggesting that environmental factors such as water systems, bedding materials, or bioaerosols may contribute to elevated exposure risk (<xref ref-type="bibr" rid="ref20">Hulinova Stromerova and Faldyna, 2018</xref>; <xref ref-type="bibr" rid="ref23">Kwon et al., 2019</xref>). In contrast, wild boars exhibited no significant regional variation in MAC seroprevalence, consistent with diffuse, low-level environmental exposure rather than localized exposure foci, as reported in European wildlife studies (<xref ref-type="bibr" rid="ref32">Mu&#x00F1;oz-Mendoza et al., 2013</xref>; <xref ref-type="bibr" rid="ref42">Richomme et al., 2019</xref>; <xref ref-type="bibr" rid="ref17">Ghielmetti et al., 2021</xref>).</p>
<p>The concurrent detection of antibodies to both MTC and MAC in domestic sows and wild boars highlights several One Health considerations. Environmental and indirect transmission pathways may be sufficient to sustain low-level endemic exposure even in the absence of widespread outdoor pig farming. Korea&#x2019;s high baseline prevalence of human tuberculosis and the increasing incidence of MAC pulmonary disease may further contribute to shared peri-urban exposure environments (<xref ref-type="bibr" rid="ref23">Kwon et al., 2019</xref>; <xref ref-type="bibr" rid="ref53">Yoo et al., 2025</xref>). In addition, other wildlife or meso-mammalian species, including rodents and small carnivores, may participate in local transmission networks, analogous to the role of brushtail possums in New Zealand&#x2019;s bovine tuberculosis system (<xref ref-type="bibr" rid="ref37">Nugent et al., 2012</xref>; <xref ref-type="bibr" rid="ref36">Nugent et al., 2015</xref>). Evidence of mycobacterial infections in Korean companion animals and wildlife&#x2014;including multidrug-resistant <italic>M. bovis</italic> isolated from a dog (<xref ref-type="bibr" rid="ref9">Cho et al., 2022</xref>), <italic>M. avium</italic> infections in birds (<xref ref-type="bibr" rid="ref24">Lee et al., 2010</xref>), and disseminated MAC infection in a captive tiger (<xref ref-type="bibr" rid="ref10">Cho et al., 2006</xref>)&#x2014;further underscores the relevance of integrated, multi-species surveillance.</p>
<p>Several methodological considerations warrant acknowledgment. ELISA-based assays are well suited for large-scale screening and have been widely applied in livestock and wildlife surveillance (<xref ref-type="bibr" rid="ref46">Santos et al., 2018</xref>; <xref ref-type="bibr" rid="ref42">Richomme et al., 2019</xref>; <xref ref-type="bibr" rid="ref8">Cardoso et al., 2024</xref>); however, they primarily reflect prior exposure rather than active infection and may under-detect early or low-antibody responses. Accordingly, the apparent seroprevalence reported here should be interpreted as indicative of exposure rather than infection status. Reliable estimation of true prevalence would require robust, species- and context-specific diagnostic performance parameters that are currently unavailable for ELISA-based assays in suids. Complementary diagnostic approaches, including PCR, bacterial culture, interferon-gamma release assays, and histopathology, would improve epidemiological resolution (<xref ref-type="bibr" rid="ref31">Mohamed et al., 2009</xref>; <xref ref-type="bibr" rid="ref8">Cardoso et al., 2024</xref>).</p>
<p>The absence of demographic information for wild boars, such as age and sex, precluded assessment of risk factors known to influence infection dynamics in other settings (<xref ref-type="bibr" rid="ref33">Muwonge et al., 2010</xref>; <xref ref-type="bibr" rid="ref3">Arega et al., 2013</xref>; <xref ref-type="bibr" rid="ref12">Demissie et al., 2020</xref>; <xref ref-type="bibr" rid="ref44">Sanou et al., 2021</xref>). Similarly, individual- or farm-level risk factor analyses were not possible due to limited metadata on herd characteristics and management practices. The lack of spatial analysis further restricted identification of potential geographic clusters or transmission hotspots. Future studies integrating structured metadata, environmental variables, and molecular typing approaches &#x2013; including spoligotyping, variable-number tandem repeat analysis, or whole-genome sequencing &#x2013; would be instrumental in clarifying transmission pathways across hosts, as demonstrated in European multi-host systems (<xref ref-type="bibr" rid="ref1">Amato et al., 2017</xref>; <xref ref-type="bibr" rid="ref28">Madeira et al., 2017</xref>; <xref ref-type="bibr" rid="ref38">Or&#x0142;owska et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">Ciaravino et al., 2021</xref>; <xref ref-type="bibr" rid="ref52">Welz et al., 2023</xref>).</p>
<p>Although tuberculosis is designated as a &#x201C;Contagious Animal Disease Type II&#x201D; under Korean legislation (<xref ref-type="bibr" rid="ref53">Yoo et al., 2025</xref>), pigs are not currently included in routine national surveillance programs. Given the long production lifespan of breeding sows and the expanding geographic distribution of wild boars in Korea (<xref ref-type="bibr" rid="ref34">National Institute of Biological Resources, 2023</xref>), integrating serological monitoring of both populations into existing surveillance frameworks could strengthen early detection and risk assessment. Experience from European wildlife&#x2013;livestock tuberculosis systems demonstrates the value of coordinated surveillance, ecological risk evaluation, and targeted control strategies (<xref ref-type="bibr" rid="ref45">Santos et al., 2009</xref>; <xref ref-type="bibr" rid="ref6">Cano-Manuel et al., 2014</xref>; <xref ref-type="bibr" rid="ref30">Mentaberre et al., 2014</xref>; <xref ref-type="bibr" rid="ref18">Gort&#x00E1;zar et al., 2017</xref>). Expanded environmental sampling and molecular epidemiological investigations would further clarify transmission pathways across species and ecosystems.</p>
<p>In conclusion, domestic sows and wild boars in Korea exhibit measurable exposure to both MTC and MAC. The observed seroprevalence profile lies between that reported for intensive indoor production systems and that observed in outdoor or wildlife-rich ecosystems with established reservoir hosts (<xref ref-type="bibr" rid="ref13">Di Marco et al., 2012</xref>; <xref ref-type="bibr" rid="ref7">Cano-Terriza et al., 2018</xref>; <xref ref-type="bibr" rid="ref25">Lekko et al., 2021</xref>; <xref ref-type="bibr" rid="ref43">Roos et al., 2018</xref>; <xref ref-type="bibr" rid="ref35">Neiffer et al., 2021</xref>; <xref ref-type="bibr" rid="ref45">Santos et al., 2009</xref>; <xref ref-type="bibr" rid="ref27">Maciel et al., 2018</xref>; <xref ref-type="bibr" rid="ref4">Barandiaran et al., 2024</xref>). These findings support the importance of sustained One Health surveillance and integrated multi-species monitoring to better understand and mitigate mycobacterial exposure risk in Korea.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec11">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec12">
<title>Ethics statement</title>
<p>The animal study was approved by the Jeonbuk National University Institutional Animal Care and Use Committee (JBNU IACUC; Permit No. NON2023-117). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec13">
<title>Author contributions</title>
<p>SM: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Data curation, Investigation, Methodology, Resources, Software, Visualization. D-YB: Conceptualization, Data curation, Investigation, Methodology, Resources, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. Y-CC: Conceptualization, Formal analysis, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. DY: Conceptualization, Formal analysis, Methodology, Resources, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YO: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. H-SC: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p><xref ref-type="fig" rid="fig1">Figure 1</xref> was adapted from &#x201C;Korea adm location map.svg&#x201D; by NordNordWest and is licensed under CC BY-SA 3.0 DE (<ext-link xlink:href="https://creativecommons.org/licenses/by-sa/3.0/de/legalcode" ext-link-type="uri">https://creativecommons.org/licenses/by-sa/3.0/de/legalcode</ext-link>).</p>
</ack>
<sec sec-type="COI-statement" id="sec14">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was used in the creation of this manuscript. The authors used OpenAI ChatGPT-5.2 for AI-assisted language editing during manuscript preparation. All content was reviewed and verified by the authors, who take full responsibility for the manuscript content.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec16">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/675207/overview">Soledad Barandiaran</ext-link>, Universidad de Buenos Aires, Argentina</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/453332/overview">Muhammad Hammad Hussain</ext-link>, Sultan Qaboos University, Oman</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1148493/overview">Felipe A. Hern&#x00E1;ndez</ext-link>, Universidad Austral de Chile, Chile</p>
</fn>
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