Genetic diversity of bat coronaviruses and comparative genetic analysis of MERS‐related coronaviruses in South Korea
Bats have been identified as a natural reservoir of several potentially zoonotic viruses, including Lyssavirus, Ebola virus, Marburg virus, Hendra virus, Nipah virus, as well as severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus (CoV). Here, we performed a molecular e...
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| Veröffentlicht in: | Transboundary and emerging diseases 2022-07, Vol.69 (4), p.e463-e472 |
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| creator | Lee, Sook‐Young Chung, Chul‐Un Park, Jun Soo Kim, Yoon Ji Kim, Young‐Sik Na, Eun‐Jee Kim, YongKwan Oem, Jae‐Ku |
| description | Bats have been identified as a natural reservoir of several potentially zoonotic viruses, including Lyssavirus, Ebola virus, Marburg virus, Hendra virus, Nipah virus, as well as severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus (CoV). Here, we performed a molecular epidemiological investigation of South Korean bat viruses. Genetic comparative analysis was performed on the spike glycoprotein gene of the detected MERS‐related CoVs. Among 1640 samples (348 oral swabs, 1199 faecal samples, 83 urine samples and 10 bat carcass) collected across 24 South Korean provinces during 2017–2019, CoV was detected in 82 samples (75 faeces and seven oral swab samples) from 11 provinces. Surveillance over the 3 years during which samples were collected revealed significantly higher CoV detection rates between spring and autumn, and a high detection rate in Vespertillionidae and Rhinolophidae bats. Our phylogenetic analysis shows that Korean bat CoVs are genetically diverse regardless of their spatiotemporal distribution and their host species, and that the discovered bat CoVs belong to various subgenera within the Alpha‐ and Betacoronavirus genera. Twenty detected MERS‐related CoVs belonging to the genus Betacoronavirus were similar to the Ia io bat CoV NL140422 and NL13845 strains. A comprehensive genetic analysis of two Korean bat MERS‐related CoV spike receptor binding domain (RBDs) (176 and 267 strains) showed that the 18 critical residues that are involved in interactions with the human DPP4 receptor are most similar to the NL13845 strain, which is known to not bind with hDPP4. A deeper analysis of the interfacing residues in the Korean bat MERS‐related CoVs RBD–hDPP4 complexes showed that the Korean bat CoVs has fewer polar contacts than the NL13845 strain. Although further study will be needed, these results suggest that Korean bat MERS‐related CoVs are unlikely to bind with hDPP4. Nevertheless, these findings highlight the need for continuous monitoring to identifying the origin of new infectious diseases, specifically mutant CoV. |
| doi_str_mv | 10.1111/tbed.14324 |
| format | Article |
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Here, we performed a molecular epidemiological investigation of South Korean bat viruses. Genetic comparative analysis was performed on the spike glycoprotein gene of the detected MERS‐related CoVs. Among 1640 samples (348 oral swabs, 1199 faecal samples, 83 urine samples and 10 bat carcass) collected across 24 South Korean provinces during 2017–2019, CoV was detected in 82 samples (75 faeces and seven oral swab samples) from 11 provinces. Surveillance over the 3 years during which samples were collected revealed significantly higher CoV detection rates between spring and autumn, and a high detection rate in Vespertillionidae and Rhinolophidae bats. Our phylogenetic analysis shows that Korean bat CoVs are genetically diverse regardless of their spatiotemporal distribution and their host species, and that the discovered bat CoVs belong to various subgenera within the Alpha‐ and Betacoronavirus genera. Twenty detected MERS‐related CoVs belonging to the genus Betacoronavirus were similar to the Ia io bat CoV NL140422 and NL13845 strains. A comprehensive genetic analysis of two Korean bat MERS‐related CoV spike receptor binding domain (RBDs) (176 and 267 strains) showed that the 18 critical residues that are involved in interactions with the human DPP4 receptor are most similar to the NL13845 strain, which is known to not bind with hDPP4. A deeper analysis of the interfacing residues in the Korean bat MERS‐related CoVs RBD–hDPP4 complexes showed that the Korean bat CoVs has fewer polar contacts than the NL13845 strain. Although further study will be needed, these results suggest that Korean bat MERS‐related CoVs are unlikely to bind with hDPP4. Nevertheless, these findings highlight the need for continuous monitoring to identifying the origin of new infectious diseases, specifically mutant CoV.</description><identifier>ISSN: 1865-1674</identifier><identifier>EISSN: 1865-1682</identifier><identifier>DOI: 10.1111/tbed.14324</identifier><language>eng</language><publisher>Berlin: Hindawi Limited</publisher><subject>bat ; Betacoronavirus ; Comparative analysis ; Coronaviridae ; coronavirus ; Coronaviruses ; COVID-19 ; Epidemiology ; Feces ; Genetic analysis ; Genetic diversity ; Geographical distribution ; Glycoproteins ; Infectious diseases ; Middle East respiratory syndrome ; Nipah virus ; phylogenetic analysis ; Phylogeny ; Receptors ; Residues ; Respiratory diseases ; Severe acute respiratory syndrome ; Spatial distribution ; Spike glycoprotein ; Strains (organisms) ; Temporal distribution ; Viral diseases ; Viruses</subject><ispartof>Transboundary and emerging diseases, 2022-07, Vol.69 (4), p.e463-e472</ispartof><rights>2021 Wiley‐VCH GmbH</rights><rights>2022 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3704-3a93d8aeb997810e913e67746fcb7f29f902d810612508cd79fbab17c0f1c1273</citedby><cites>FETCH-LOGICAL-c3704-3a93d8aeb997810e913e67746fcb7f29f902d810612508cd79fbab17c0f1c1273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Ftbed.14324$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Ftbed.14324$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Lee, Sook‐Young</creatorcontrib><creatorcontrib>Chung, Chul‐Un</creatorcontrib><creatorcontrib>Park, Jun Soo</creatorcontrib><creatorcontrib>Kim, Yoon Ji</creatorcontrib><creatorcontrib>Kim, Young‐Sik</creatorcontrib><creatorcontrib>Na, Eun‐Jee</creatorcontrib><creatorcontrib>Kim, YongKwan</creatorcontrib><creatorcontrib>Oem, Jae‐Ku</creatorcontrib><title>Genetic diversity of bat coronaviruses and comparative genetic analysis of MERS‐related coronaviruses in South Korea</title><title>Transboundary and emerging diseases</title><description>Bats have been identified as a natural reservoir of several potentially zoonotic viruses, including Lyssavirus, Ebola virus, Marburg virus, Hendra virus, Nipah virus, as well as severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus (CoV). Here, we performed a molecular epidemiological investigation of South Korean bat viruses. Genetic comparative analysis was performed on the spike glycoprotein gene of the detected MERS‐related CoVs. Among 1640 samples (348 oral swabs, 1199 faecal samples, 83 urine samples and 10 bat carcass) collected across 24 South Korean provinces during 2017–2019, CoV was detected in 82 samples (75 faeces and seven oral swab samples) from 11 provinces. Surveillance over the 3 years during which samples were collected revealed significantly higher CoV detection rates between spring and autumn, and a high detection rate in Vespertillionidae and Rhinolophidae bats. Our phylogenetic analysis shows that Korean bat CoVs are genetically diverse regardless of their spatiotemporal distribution and their host species, and that the discovered bat CoVs belong to various subgenera within the Alpha‐ and Betacoronavirus genera. Twenty detected MERS‐related CoVs belonging to the genus Betacoronavirus were similar to the Ia io bat CoV NL140422 and NL13845 strains. A comprehensive genetic analysis of two Korean bat MERS‐related CoV spike receptor binding domain (RBDs) (176 and 267 strains) showed that the 18 critical residues that are involved in interactions with the human DPP4 receptor are most similar to the NL13845 strain, which is known to not bind with hDPP4. A deeper analysis of the interfacing residues in the Korean bat MERS‐related CoVs RBD–hDPP4 complexes showed that the Korean bat CoVs has fewer polar contacts than the NL13845 strain. Although further study will be needed, these results suggest that Korean bat MERS‐related CoVs are unlikely to bind with hDPP4. Nevertheless, these findings highlight the need for continuous monitoring to identifying the origin of new infectious diseases, specifically mutant CoV.</description><subject>bat</subject><subject>Betacoronavirus</subject><subject>Comparative analysis</subject><subject>Coronaviridae</subject><subject>coronavirus</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Epidemiology</subject><subject>Feces</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Geographical distribution</subject><subject>Glycoproteins</subject><subject>Infectious diseases</subject><subject>Middle East respiratory syndrome</subject><subject>Nipah virus</subject><subject>phylogenetic analysis</subject><subject>Phylogeny</subject><subject>Receptors</subject><subject>Residues</subject><subject>Respiratory diseases</subject><subject>Severe acute respiratory syndrome</subject><subject>Spatial distribution</subject><subject>Spike glycoprotein</subject><subject>Strains (organisms)</subject><subject>Temporal distribution</subject><subject>Viral diseases</subject><subject>Viruses</subject><issn>1865-1674</issn><issn>1865-1682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kcFOwzAMhisEEmNw4QkqcUFIHUnaJs0RxhiIISQ2zlWaOpCpa0bSDvXGI_CMPAkZmzjsgC-27O-3ZP9BcIrRAPu4bAooBziJSbIX9HBG0wjTjOz_1Sw5DI6cmyNEEadpL1iNoYZGy7DUK7BON11oVFiIJpTGmlqstG0duFDUpe8slsKKxpPh61YmalF1Tru16nH0PP3-_LJQiQbKnQW6Dqembd7CB2NBHAcHSlQOTra5H7zcjmbDu2jyNL4fXk0iGTOURLHgcZkJKDhnGUbAcQyUsYQqWTBFuOKIlH5AMUlRJkvGVSEKzCRSWGLC4n5wvtm7tOa9BdfkC-0kVJWowbQuJylLYp6hNPHo2Q46N63153mKcv_TGGPiqYsNJa1xzoLKl1YvhO1yjPK1BfnagvzXAg_jDfyhK-j-IfPZ9ehmo_kBiDiKoA</recordid><startdate>202207</startdate><enddate>202207</enddate><creator>Lee, Sook‐Young</creator><creator>Chung, Chul‐Un</creator><creator>Park, Jun Soo</creator><creator>Kim, Yoon Ji</creator><creator>Kim, Young‐Sik</creator><creator>Na, Eun‐Jee</creator><creator>Kim, YongKwan</creator><creator>Oem, Jae‐Ku</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>202207</creationdate><title>Genetic diversity of bat coronaviruses and comparative genetic analysis of MERS‐related coronaviruses in South Korea</title><author>Lee, Sook‐Young ; Chung, Chul‐Un ; Park, Jun Soo ; Kim, Yoon Ji ; Kim, Young‐Sik ; Na, Eun‐Jee ; Kim, YongKwan ; Oem, Jae‐Ku</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3704-3a93d8aeb997810e913e67746fcb7f29f902d810612508cd79fbab17c0f1c1273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>bat</topic><topic>Betacoronavirus</topic><topic>Comparative analysis</topic><topic>Coronaviridae</topic><topic>coronavirus</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Epidemiology</topic><topic>Feces</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>Geographical distribution</topic><topic>Glycoproteins</topic><topic>Infectious diseases</topic><topic>Middle East respiratory syndrome</topic><topic>Nipah virus</topic><topic>phylogenetic analysis</topic><topic>Phylogeny</topic><topic>Receptors</topic><topic>Residues</topic><topic>Respiratory diseases</topic><topic>Severe acute respiratory syndrome</topic><topic>Spatial distribution</topic><topic>Spike glycoprotein</topic><topic>Strains (organisms)</topic><topic>Temporal distribution</topic><topic>Viral diseases</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Sook‐Young</creatorcontrib><creatorcontrib>Chung, Chul‐Un</creatorcontrib><creatorcontrib>Park, Jun Soo</creatorcontrib><creatorcontrib>Kim, Yoon Ji</creatorcontrib><creatorcontrib>Kim, Young‐Sik</creatorcontrib><creatorcontrib>Na, Eun‐Jee</creatorcontrib><creatorcontrib>Kim, YongKwan</creatorcontrib><creatorcontrib>Oem, Jae‐Ku</creatorcontrib><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Transboundary and emerging diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Sook‐Young</au><au>Chung, Chul‐Un</au><au>Park, Jun Soo</au><au>Kim, Yoon Ji</au><au>Kim, Young‐Sik</au><au>Na, Eun‐Jee</au><au>Kim, YongKwan</au><au>Oem, Jae‐Ku</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic diversity of bat coronaviruses and comparative genetic analysis of MERS‐related coronaviruses in South Korea</atitle><jtitle>Transboundary and emerging diseases</jtitle><date>2022-07</date><risdate>2022</risdate><volume>69</volume><issue>4</issue><spage>e463</spage><epage>e472</epage><pages>e463-e472</pages><issn>1865-1674</issn><eissn>1865-1682</eissn><abstract>Bats have been identified as a natural reservoir of several potentially zoonotic viruses, including Lyssavirus, Ebola virus, Marburg virus, Hendra virus, Nipah virus, as well as severe acute respiratory syndrome and Middle East respiratory syndrome coronavirus (CoV). 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Twenty detected MERS‐related CoVs belonging to the genus Betacoronavirus were similar to the Ia io bat CoV NL140422 and NL13845 strains. A comprehensive genetic analysis of two Korean bat MERS‐related CoV spike receptor binding domain (RBDs) (176 and 267 strains) showed that the 18 critical residues that are involved in interactions with the human DPP4 receptor are most similar to the NL13845 strain, which is known to not bind with hDPP4. A deeper analysis of the interfacing residues in the Korean bat MERS‐related CoVs RBD–hDPP4 complexes showed that the Korean bat CoVs has fewer polar contacts than the NL13845 strain. Although further study will be needed, these results suggest that Korean bat MERS‐related CoVs are unlikely to bind with hDPP4. Nevertheless, these findings highlight the need for continuous monitoring to identifying the origin of new infectious diseases, specifically mutant CoV.</abstract><cop>Berlin</cop><pub>Hindawi Limited</pub><doi>10.1111/tbed.14324</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | bat Betacoronavirus Comparative analysis Coronaviridae coronavirus Coronaviruses COVID-19 Epidemiology Feces Genetic analysis Genetic diversity Geographical distribution Glycoproteins Infectious diseases Middle East respiratory syndrome Nipah virus phylogenetic analysis Phylogeny Receptors Residues Respiratory diseases Severe acute respiratory syndrome Spatial distribution Spike glycoprotein Strains (organisms) Temporal distribution Viral diseases Viruses |
| title | Genetic diversity of bat coronaviruses and comparative genetic analysis of MERS‐related coronaviruses in South Korea |
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