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Assessing pathogen prevalence in micromammals is essential for evaluating zoonotic risk and informing public health interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      In this study, we applied the TaqMan Array Card (TAC) platform, a high-throughput molecular diagnostic tool, to micromammal-borne zoonotic pathogen surveillance. From October to November 2022, a total of 160 wild micromammals, including\u00a0\n                      <jats:italic>Apodemus agrarius<\/jats:italic>\n                      (Striped field mouse) (90.6,\u00a0\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009145) and\u00a0\n                      <jats:italic>Crocidura lasiura<\/jats:italic>\n                      \u00a0(Ussuri white-toothed shrew) (9.4%,\u00a0\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200915), were collected from 12 regions. Spleen tissues were screened for 45 viral, bacterial, and protozoan pathogens using the TAC platform.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Viral pathogens were detected at lower frequencies, including Junin virus (2.5%,\u00a0\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20094) and lymphocytic choriomeningitis virus (0.6%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20091). In contrast, bacterial pathogens showed high prevalence, including\n                      <jats:italic>Bartonella<\/jats:italic>\n                      spp. (78.8%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009126),\n                      <jats:italic>Ehrlichia<\/jats:italic>\n                      spp. (47.5%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200976),\n                      <jats:italic>Anaplasma<\/jats:italic>\n                      spp. (46.9%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200975),\n                      <jats:italic>Borrelia<\/jats:italic>\n                      spp. (36.3%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200958),\n                      <jats:italic>Orientia tsutsugamushi<\/jats:italic>\n                      (25.6%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200941),\n                      <jats:italic>Rickettsia<\/jats:italic>\n                      spp. (4.4%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20097), and\n                      <jats:italic>Leptospira<\/jats:italic>\n                      spp. (2.5%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20094) as well as protozoan pathogens such as\n                      <jats:italic>Trypanosoma<\/jats:italic>\n                      spp. (87.5%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009140),\n                      <jats:italic>Cryptosporidium<\/jats:italic>\n                      (20.0%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200932), and\n                      <jats:italic>Toxoplasma gondii<\/jats:italic>\n                      (1.3%,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20092). However, some detections particularly viral pathogens were based solely on the TAC platform and were not confirmed by conventional PCR and sequencing. Phylogenetic analyses of TAC-positive samples revealed the presence of diverse zoonotic agents, including\n                      <jats:italic>Anaplasma phagocytophilum<\/jats:italic>\n                      ,\n                      <jats:italic>Ehrlichia muris<\/jats:italic>\n                      ,\n                      <jats:italic>Candidatus<\/jats:italic>\n                      Ehrlichia khabarensis,\n                      <jats:italic>Candidatus<\/jats:italic>\n                      Neoehrlichia mikurensis,\n                      <jats:italic>Borreliella afzelii<\/jats:italic>\n                      ,\n                      <jats:italic>Borrelia miyamotoi<\/jats:italic>\n                      ,\n                      <jats:italic>O. tsutsugamushi<\/jats:italic>\n                      Saitama and Young-worl strains,\n                      <jats:italic>Bartonella quintana<\/jats:italic>\n                      ,\n                      <jats:italic>B. fuyuanensis<\/jats:italic>\n                      , and\n                      <jats:italic>B. japonica<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings demonstrate the widespread regional distribution of micromammal-borne zoonotic pathogens across the ROK and provide essential baseline data to support integrated One Health surveillance frameworks for emerging and re-emerging micromammal-borne zoonoses.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s13071-026-07585-w","type":"journal-article","created":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T08:43:19Z","timestamp":1785055399000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Broad-spectrum molecular detection of zoonotic agents in wild micromammals: a nationwide surveillance study in the Republic of Korea"],"prefix":"10.1186","volume":"19","author":[{"given":"Hyunyoung","family":"Yoon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hak Seon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji Ye","family":"Seo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin Seo","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hee Il","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seong Yoon","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,26]]},"reference":[{"key":"7585_CR1","doi-asserted-by":"publisher","DOI":"10.25646\/11401","author":"S Beermann","year":"2023","unstructured":"Beermann S, Dobler G, Faber M, Frank C, Habedank B, Hagedorn P, et al. 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