2019_nCoV/SARS-CoV-2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses.
Identifieur interne : 000842 ( PubMed/Checkpoint ); précédent : 000841; suivant : 0008432019_nCoV/SARS-CoV-2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses.
Auteurs : T M Wassenaar [Allemagne] ; Y. Zou [République populaire de Chine]Source :
- Letters in applied microbiology [ 1472-765X ] ; 2020.
Descripteurs français
- KwdFr :
- Animaux, Chine (épidémiologie), Chiroptera (), Chiroptera (virologie), Génome viral, Humains, Infections à coronavirus (virologie), Infections à coronavirus (étiologie), Médecine traditionnelle chinoise (effets indésirables), Pandémies, Phylogénie, Pneumopathie virale (virologie), Pneumopathie virale (étiologie), Zoonoses (virologie).
- MESH :
- effets indésirables : Médecine traditionnelle chinoise.
- virologie : Chiroptera, Infections à coronavirus, Pneumopathie virale, Zoonoses.
- épidémiologie : Chine.
- étiologie : Infections à coronavirus, Pneumopathie virale.
- Animaux, Chiroptera, Génome viral, Humains, Pandémies, Phylogénie.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Animals, Betacoronavirus (classification), China (epidemiology), Chiroptera (classification), Chiroptera (virology), Coronavirus Infections (etiology), Coronavirus Infections (virology), Genome, Viral, Humans, Medicine, Chinese Traditional (adverse effects), Pandemics, Phylogeny, Pneumonia, Viral (etiology), Pneumonia, Viral (virology), Zoonoses (virology).
- MESH :
- geographic , epidemiology : China.
- adverse effects : Medicine, Chinese Traditional.
- classification : Betacoronavirus, Chiroptera.
- etiology : Coronavirus Infections, Pneumonia, Viral.
- virology : Chiroptera, Coronavirus Infections, Pneumonia, Viral, Zoonoses.
- Animals, Genome, Viral, Humans, Pandemics, Phylogeny.
Abstract
The current outbreak of a novel severe acute respiratory syndrome-like coronavirus, 2019_nCoV (now named SARS-CoV-2), illustrated difficulties in identifying a novel coronavirus and its natural host, as the coding sequences of various Betacoronavirus species can be highly diverse. By means of whole-genome sequence comparisons, we demonstrate that the noncoding flanks of the viral genome can be used to correctly separate the recognized four betacoronavirus subspecies. The conservation would be sufficient to define target sequences that could, in theory, classify novel virus species into their subspecies. Only 253 upstream noncoding sequences of Sarbecovirus are sufficient to identify genetic similarities between species of this subgenus. Furthermore, it was investigated which bat species have commercial value in China, and would thus likely be handled for trading purposes. A number of coronavirus genomes have been published that were obtained from such bat species. These bats are used in Traditional Chinese Medicine, and their handling poses a potential risk to cause zoonotic coronavirus epidemics. SIGNIFICANCE AND IMPACT OF THE STUDY: The noncoding upstream and downstream flanks of coronavirus genomes allow for rapid classification of novel Betacoronavirus species and correct identification of genetic relationships. Although bats are the likely natural host of 2019_nCoV, the exact bat species that serves as the natural host of the virus remains as yet unknown. Chinese bat species with commercial value were identified as natural reservoirs of coronaviruses and are used in Traditional Chinese Medicine. Since their trading provides a potential risk for spreading zoonoses, a change in these practices is highly recommended.
DOI: 10.1111/lam.13285
PubMed: 32060933
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:32060933Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">2019_nCoV/SARS-CoV-2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses.</title><author><name sortKey="Wassenaar, T M" sort="Wassenaar, T M" uniqKey="Wassenaar T" first="T M" last="Wassenaar">T M Wassenaar</name><affiliation wicri:level="1"><nlm:affiliation>Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Molecular Microbiology and Genomics Consultants, Zotzenheim</wicri:regionArea><wicri:noRegion>Zotzenheim</wicri:noRegion><wicri:noRegion>Zotzenheim</wicri:noRegion><wicri:noRegion>Zotzenheim</wicri:noRegion></affiliation></author><author><name sortKey="Zou, Y" sort="Zou, Y" uniqKey="Zou Y" first="Y" last="Zou">Y. Zou</name><affiliation wicri:level="3"><nlm:affiliation>SciPaperEdit, Chuangkexing, Wuhan, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>SciPaperEdit, Chuangkexing, Wuhan</wicri:regionArea><placeName><settlement type="city">Wuhan</settlement><region type="région">Hubei</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32060933</idno><idno type="pmid">32060933</idno><idno type="doi">10.1111/lam.13285</idno><idno type="wicri:Area/PubMed/Corpus">000791</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000791</idno><idno type="wicri:Area/PubMed/Curation">000791</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000791</idno><idno type="wicri:Area/PubMed/Checkpoint">000842</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000842</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">2019_nCoV/SARS-CoV-2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses.</title><author><name sortKey="Wassenaar, T M" sort="Wassenaar, T M" uniqKey="Wassenaar T" first="T M" last="Wassenaar">T M Wassenaar</name><affiliation wicri:level="1"><nlm:affiliation>Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Molecular Microbiology and Genomics Consultants, Zotzenheim</wicri:regionArea><wicri:noRegion>Zotzenheim</wicri:noRegion><wicri:noRegion>Zotzenheim</wicri:noRegion><wicri:noRegion>Zotzenheim</wicri:noRegion></affiliation></author><author><name sortKey="Zou, Y" sort="Zou, Y" uniqKey="Zou Y" first="Y" last="Zou">Y. Zou</name><affiliation wicri:level="3"><nlm:affiliation>SciPaperEdit, Chuangkexing, Wuhan, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>SciPaperEdit, Chuangkexing, Wuhan</wicri:regionArea><placeName><settlement type="city">Wuhan</settlement><region type="région">Hubei</region></placeName></affiliation></author></analytic><series><title level="j">Letters in applied microbiology</title><idno type="eISSN">1472-765X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Betacoronavirus (classification)</term><term>China (epidemiology)</term><term>Chiroptera (classification)</term><term>Chiroptera (virology)</term><term>Coronavirus Infections (etiology)</term><term>Coronavirus Infections (virology)</term><term>Genome, Viral</term><term>Humans</term><term>Medicine, Chinese Traditional (adverse effects)</term><term>Pandemics</term><term>Phylogeny</term><term>Pneumonia, Viral (etiology)</term><term>Pneumonia, Viral (virology)</term><term>Zoonoses (virology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Animaux</term><term>Chine (épidémiologie)</term><term>Chiroptera ()</term><term>Chiroptera (virologie)</term><term>Génome viral</term><term>Humains</term><term>Infections à coronavirus (virologie)</term><term>Infections à coronavirus (étiologie)</term><term>Médecine traditionnelle chinoise (effets indésirables)</term><term>Pandémies</term><term>Phylogénie</term><term>Pneumopathie virale (virologie)</term><term>Pneumopathie virale (étiologie)</term><term>Zoonoses (virologie)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="adverse effects" xml:lang="en"><term>Medicine, Chinese Traditional</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Betacoronavirus</term><term>Chiroptera</term></keywords><keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr"><term>Médecine traditionnelle chinoise</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Chiroptera</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Zoonoses</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Chiroptera</term><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Zoonoses</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Genome, Viral</term><term>Humans</term><term>Pandemics</term><term>Phylogeny</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Animaux</term><term>Chiroptera</term><term>Génome viral</term><term>Humains</term><term>Pandémies</term><term>Phylogénie</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The current outbreak of a novel severe acute respiratory syndrome-like coronavirus, 2019_nCoV (now named SARS-CoV-2), illustrated difficulties in identifying a novel coronavirus and its natural host, as the coding sequences of various Betacoronavirus species can be highly diverse. By means of whole-genome sequence comparisons, we demonstrate that the noncoding flanks of the viral genome can be used to correctly separate the recognized four betacoronavirus subspecies. The conservation would be sufficient to define target sequences that could, in theory, classify novel virus species into their subspecies. Only 253 upstream noncoding sequences of Sarbecovirus are sufficient to identify genetic similarities between species of this subgenus. Furthermore, it was investigated which bat species have commercial value in China, and would thus likely be handled for trading purposes. A number of coronavirus genomes have been published that were obtained from such bat species. These bats are used in Traditional Chinese Medicine, and their handling poses a potential risk to cause zoonotic coronavirus epidemics. SIGNIFICANCE AND IMPACT OF THE STUDY: The noncoding upstream and downstream flanks of coronavirus genomes allow for rapid classification of novel Betacoronavirus species and correct identification of genetic relationships. Although bats are the likely natural host of 2019_nCoV, the exact bat species that serves as the natural host of the virus remains as yet unknown. Chinese bat species with commercial value were identified as natural reservoirs of coronaviruses and are used in Traditional Chinese Medicine. Since their trading provides a potential risk for spreading zoonoses, a change in these practices is highly recommended.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32060933</PMID><DateCompleted><Year>2020</Year><Month>04</Month><Day>07</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>08</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1472-765X</ISSN><JournalIssue CitedMedium="Internet"><Volume>70</Volume><Issue>5</Issue><PubDate><Year>2020</Year><Month>May</Month></PubDate></JournalIssue><Title>Letters in applied microbiology</Title><ISOAbbreviation>Lett. Appl. Microbiol.</ISOAbbreviation></Journal><ArticleTitle>2019_nCoV/SARS-CoV-2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses.</ArticleTitle><Pagination><MedlinePgn>342-348</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/lam.13285</ELocationID><Abstract><AbstractText>The current outbreak of a novel severe acute respiratory syndrome-like coronavirus, 2019_nCoV (now named SARS-CoV-2), illustrated difficulties in identifying a novel coronavirus and its natural host, as the coding sequences of various Betacoronavirus species can be highly diverse. By means of whole-genome sequence comparisons, we demonstrate that the noncoding flanks of the viral genome can be used to correctly separate the recognized four betacoronavirus subspecies. The conservation would be sufficient to define target sequences that could, in theory, classify novel virus species into their subspecies. Only 253 upstream noncoding sequences of Sarbecovirus are sufficient to identify genetic similarities between species of this subgenus. Furthermore, it was investigated which bat species have commercial value in China, and would thus likely be handled for trading purposes. A number of coronavirus genomes have been published that were obtained from such bat species. These bats are used in Traditional Chinese Medicine, and their handling poses a potential risk to cause zoonotic coronavirus epidemics. SIGNIFICANCE AND IMPACT OF THE STUDY: The noncoding upstream and downstream flanks of coronavirus genomes allow for rapid classification of novel Betacoronavirus species and correct identification of genetic relationships. Although bats are the likely natural host of 2019_nCoV, the exact bat species that serves as the natural host of the virus remains as yet unknown. Chinese bat species with commercial value were identified as natural reservoirs of coronaviruses and are used in Traditional Chinese Medicine. Since their trading provides a potential risk for spreading zoonoses, a change in these practices is highly recommended.</AbstractText><CopyrightInformation>© 2020 The Authors. Letters in Applied Microbiology published by John Wiley & Sons Ltd on behalf of Society for Applied Microbiology.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wassenaar</LastName><ForeName>T M</ForeName><Initials>TM</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-7024-1139</Identifier><AffiliationInfo><Affiliation>Molecular Microbiology and Genomics Consultants, Zotzenheim, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zou</LastName><ForeName>Y</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>SciPaperEdit, Chuangkexing, Wuhan, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>02</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Lett Appl Microbiol</MedlineTA><NlmUniqueID>8510094</NlmUniqueID><ISSNLinking>0266-8254</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="Y">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002685" MajorTopicYN="N">Chiroptera</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016679" MajorTopicYN="N">Genome, Viral</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008516" MajorTopicYN="N">Medicine, Chinese Traditional</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010802" MajorTopicYN="Y">Phylogeny</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015047" MajorTopicYN="N">Zoonoses</DescriptorName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Sarbecovirus
</Keyword><Keyword MajorTopicYN="N">Traditional Chinese Medicine</Keyword><Keyword MajorTopicYN="N">bats</Keyword><Keyword MajorTopicYN="N">coronavirus</Keyword><Keyword MajorTopicYN="N">epidemic</Keyword><Keyword MajorTopicYN="N">whole-genome comparison</Keyword><Keyword MajorTopicYN="N">zoonosis</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>02</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>02</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>02</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>2</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>4</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>2</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32060933</ArticleId><ArticleId IdType="doi">10.1111/lam.13285</ArticleId></ArticleIdList><ReferenceList><Title>References</Title><Reference><Citation>Baharoon, S. and Memish, Z.A. (2019) MERS-CoV as an emerging respiratory illness: a review of prevention methods. Travel Med Infect Dis 32.https://doi.org/10.1016/j.tmaid.2019.101520</Citation></Reference><Reference><Citation>Bermingham, A., Chand, M.A., Brown, C.S., Aarons, E., Tong, C., Langrish, C., Hoschler, K., Brown, K. et al. (2012) Severe respiratory illness caused by a novel coronavirus, in a patient transferred to the United Kingdom from the Middle East, September 2012. Euro Surveill 17, 20290.</Citation></Reference><Reference><Citation>Cho, S.Y., Kang, J.M., Ha, Y.E., Park, G.E., Lee, J.Y., Ko, J.H., Lee, J.Y., Kim, J.M. et al. (2016) MERS-CoV outbreak following a single patient exposure in an emergency room in South Korea: an epidemiological outbreak study. Lancet 388, 994-1001.</Citation></Reference><Reference><Citation>Cui, J., Li, F. and Shi, Z.L. (2019) Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol 17, 181-192.</Citation></Reference><Reference><Citation>Drexler, J.F., Corman, V.M. and Drosten, C. (2014) Ecology, evolution and classification of bat coronaviruses in the aftermath of SARS. Antiviral Res 101, 45-56.</Citation></Reference><Reference><Citation>Guindon, S., Dufayard, J.F., Lefort, V., Anisimova, M., Hordijk, W. and Gascuel, O. (2010) New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol 59, 307-321.</Citation></Reference><Reference><Citation>Hu, D., Zhu, C., Ai, L., He, T., Wang, Y., Ye, F., Yang, L., Ding, C. et al. (2018) Genomic characterization and infectivity of a novel SARS-like coronavirus in Chinese bats. Emerg Microbes Infect 7, 154.</Citation></Reference><Reference><Citation>Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhan, L., Fan, G. et al. (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395, 497-506.</Citation></Reference><Reference><Citation>Kang, C.K., Song, K.H., Choe, P.G., Park, W.B., Bang, J.H., Kim, E.S., Park, S.W., Kim, H.B. et al. (2017) Clinical and epidemiologic characteristics of spreaders of middle east respiratory syndrome coronavirus during the 2015 outbreak in Korea. J Korean Med Sci 32, 744-749.</Citation></Reference><Reference><Citation>Li, W., Shi, Z., Yu, M., Ren, W., Smith, C., Epstein, J.H., Wang, H., Crameri, G. et al. (2005) Bats are natural reservoirs of SARS-like coronaviruses. Science 310, 676-679.</Citation></Reference><Reference><Citation>Liu, P., Chen, W. and Chen, J.P. (2019) Viral metagenomics revealed sendai virus and coronavirus infection of Malayan pangolins (Manis javanica). Viruses 11. https://doi.org/10.3390/v11110979</Citation></Reference><Reference><Citation>Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, W., Song, H. et al. (2020) Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. https://doi.org/10.1016/S0140-6736(20)30251-8</Citation></Reference><Reference><Citation>Mohd, H.A., Al-Tawfiq, J.A. and Memish, Z.A. (2016) Middle east respiratory syndrome coronavirus (MERS-CoV) origin and animal reservoir. Virol J 13, 87.</Citation></Reference><Reference><Citation>Riccucci, M. (2012) Bats as materia medica: an ethnomedical review and implications for conservation. Vespertilio 16, 249-270.</Citation></Reference><Reference><Citation>Riou, J. and Althaus, C.L. (2020) Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Eurosurveillance 25. https://doi.org/10.2807/1560-7917.ES.2020.25.4.2000058</Citation></Reference><Reference><Citation>Su, S., Wong, G., Shi, W., Liu, J., Lai, A.C.K., Zhou, J., Liu, W., Bi, Y. et al. (2016) Epidemiology, genetic recombination, and pathogenesis of coronaviruses. Trends Microbiol 24, 490-502.</Citation></Reference><Reference><Citation>Tang, X.C., Zhang, J.X., Zhang, S.Y., Wang, P., Fan, X.H., Li, L.F., Li, G., Dong, B.Q. et al. (2006) Prevalence and genetic diversity of coronaviruses in bats from China. J Virol 80, 7481-790.</Citation></Reference><Reference><Citation>Wang, L.F. and Eaton, B.T. (2007) Bats, civets and the emergence of SARS. Curr Top Microbiol Immunol 315, 325-44.</Citation></Reference><Reference><Citation>Zhang, N., Wang, L., Deng, X., Liang, R., Su, M., He, C., Hu, L. et al. (2020) Recent advances in the detection of respiratory virus infection in humans. J Med Virol. https://doi.org/10.1002/jmv.25674</Citation></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li><li>République populaire de Chine</li></country><region><li>Hubei</li></region><settlement><li>Wuhan</li></settlement></list><tree><country name="Allemagne"><noRegion><name sortKey="Wassenaar, T M" sort="Wassenaar, T M" uniqKey="Wassenaar T" first="T M" last="Wassenaar">T M Wassenaar</name></noRegion></country><country name="République populaire de Chine"><region name="Hubei"><name sortKey="Zou, Y" sort="Zou, Y" uniqKey="Zou Y" first="Y" last="Zou">Y. Zou</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/PubMed/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000842 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd -nk 000842 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= SrasV1
|flux= PubMed
|étape= Checkpoint
|type= RBID
|clé= pubmed:32060933
|texte= 2019_nCoV/SARS-CoV-2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i -Sk "pubmed:32060933" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a SrasV1
| This area was generated with Dilib version V0.6.33. |  |