MERS-CoV spillover at the camel-human interface
Identifieur interne : 001D09 ( Ncbi/Merge ); précédent : 001D08; suivant : 001D10MERS-CoV spillover at the camel-human interface
Auteurs : Gytis Dudas [États-Unis] ; Luiz Max Carvalho [Royaume-Uni] ; Andrew Rambaut [Royaume-Uni, États-Unis] ; Trevor Bedford [États-Unis]Source :
- eLife [ 2050-084X ] ; ????.
Descripteurs français
- KwdFr :
- Analyse de regroupements, Analyse de séquence d'ADN, Animaux, Chameaux, Coronavirus du syndrome respiratoire du Moyen-Orient (), Coronavirus du syndrome respiratoire du Moyen-Orient (génétique), Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification), Flambées de maladies, Humains, Infections à coronavirus (médecine vétérinaire), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Phylogénie, Transmission de maladie infectieuse, Variation génétique, Zoonoses (transmission), Zoonoses (épidémiologie), Épidémiologie moléculaire.
- MESH :
- génétique : Coronavirus du syndrome respiratoire du Moyen-Orient.
- isolement et purification : Coronavirus du syndrome respiratoire du Moyen-Orient.
- médecine vétérinaire : Infections à coronavirus.
- épidémiologie : Infections à coronavirus, Zoonoses.
- Analyse de regroupements, Analyse de séquence d'ADN, Animaux, Chameaux, Coronavirus du syndrome respiratoire du Moyen-Orient, Flambées de maladies, Humains, Phylogénie, Transmission de maladie infectieuse, Variation génétique, Épidémiologie moléculaire.
English descriptors
- KwdEn :
- Animals, Camelus, Cluster Analysis, Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Coronavirus Infections (veterinary), Disease Outbreaks, Disease Transmission, Infectious, Genetic Variation, Humans, Middle East Respiratory Syndrome Coronavirus (classification), Middle East Respiratory Syndrome Coronavirus (genetics), Middle East Respiratory Syndrome Coronavirus (isolation & purification), Molecular Epidemiology, Phylogeny, Sequence Analysis, DNA, Zoonoses (epidemiology), Zoonoses (transmission).
- MESH :
- classification : Middle East Respiratory Syndrome Coronavirus.
- epidemiology : Coronavirus Infections, Zoonoses.
- genetics : Middle East Respiratory Syndrome Coronavirus.
- isolation & purification : Middle East Respiratory Syndrome Coronavirus.
- transmission : Coronavirus Infections, Zoonoses.
- veterinary : Coronavirus Infections.
- Animals, Camelus, Cluster Analysis, Disease Outbreaks, Disease Transmission, Infectious, Genetic Variation, Humans, Molecular Epidemiology, Phylogeny, Sequence Analysis, DNA.
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic virus from camels causing significant mortality and morbidity in humans in the Arabian Peninsula. The epidemiology of the virus remains poorly understood, and while case-based and seroepidemiological studies have been employed extensively throughout the epidemic, viral sequence data have not been utilised to their full potential. Here, we use existing MERS-CoV sequence data to explore its phylodynamics in two of its known major hosts, humans and camels. We employ structured coalescent models to show that long-term MERS-CoV evolution occurs exclusively in camels, whereas humans act as a transient, and ultimately terminal host. By analysing the distribution of human outbreak cluster sizes and zoonotic introduction times, we show that human outbreaks in the Arabian peninsula are driven by seasonally varying zoonotic transfer of viruses from camels. Without heretofore unseen evolution of host tropism, MERS-CoV is unlikely to become endemic in humans.
Url:
DOI: 10.7554/eLife.31257
PubMed: 29336306
PubMed Central: 5777824
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 001228
- to stream Pmc, to step Curation: 001228
- to stream Pmc, to step Checkpoint: 001441
- to stream PubMed, to step Corpus: 000A22
- to stream PubMed, to step Curation: 000A22
- to stream PubMed, to step Checkpoint: 000857
Links to Exploration step
PMC:5777824Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic virus from camels causing significant mortality and morbidity in humans in the Arabian Peninsula. The epidemiology of the virus remains poorly understood, and while case-based and seroepidemiological studies have been employed extensively throughout the epidemic, viral sequence data have not been utilised to their full potential. Here, we use existing MERS-CoV sequence data to explore its phylodynamics in two of its known major hosts, humans and camels. We employ structured coalescent models to show that long-term MERS-CoV evolution occurs exclusively in camels, whereas humans act as a transient, and ultimately terminal host. By analysing the distribution of human outbreak cluster sizes and zoonotic introduction times, we show that human outbreaks in the Arabian peninsula are driven by seasonally varying zoonotic transfer of viruses from camels. Without heretofore unseen evolution of host tropism, MERS-CoV is unlikely to become endemic in humans.</p>
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</TEI>
<double pmid="29336306"><pmc><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">MERS-CoV spillover at the camel-human interface</title>
<author><name sortKey="Dudas, Gytis" sort="Dudas, Gytis" uniqKey="Dudas G" first="Gytis" last="Dudas">Gytis Dudas</name>
<affiliation wicri:level="1"><nlm:aff id="aff1"><institution content-type="dept">Vaccine and Infectious Disease Division</institution>
<institution>Fred Hutchinson Cancer Research Center</institution>
<addr-line>Seattle</addr-line>
<country>United States</country>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Carvalho, Luiz Max" sort="Carvalho, Luiz Max" uniqKey="Carvalho L" first="Luiz Max" last="Carvalho">Luiz Max Carvalho</name>
<affiliation wicri:level="1"><nlm:aff id="aff2"><institution content-type="dept">Institute of Evolutionary Biology</institution>
<institution>University of Edinburgh</institution>
<addr-line>Edinburgh</addr-line>
<country>United Kingdom</country>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
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<affiliation wicri:level="1"><nlm:aff id="aff2"><institution content-type="dept">Institute of Evolutionary Biology</institution>
<institution>University of Edinburgh</institution>
<addr-line>Edinburgh</addr-line>
<country>United Kingdom</country>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:aff id="aff3"><institution content-type="dept">Fogarty International Center</institution>
<institution>National Institutes of Health</institution>
<addr-line>Bethesda</addr-line>
<country>United States</country>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Bedford, Trevor" sort="Bedford, Trevor" uniqKey="Bedford T" first="Trevor" last="Bedford">Trevor Bedford</name>
<affiliation wicri:level="1"><nlm:aff id="aff1"><institution content-type="dept">Vaccine and Infectious Disease Division</institution>
<institution>Fred Hutchinson Cancer Research Center</institution>
<addr-line>Seattle</addr-line>
<country>United States</country>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">29336306</idno>
<idno type="pmc">5777824</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777824</idno>
<idno type="RBID">PMC:5777824</idno>
<idno type="doi">10.7554/eLife.31257</idno>
<date when="????">????</date>
<idno type="wicri:Area/Pmc/Corpus">001228</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001228</idno>
<idno type="wicri:Area/Pmc/Curation">001228</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001228</idno>
<idno type="wicri:Area/Pmc/Checkpoint">001441</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">001441</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">MERS-CoV spillover at the camel-human interface</title>
<author><name sortKey="Dudas, Gytis" sort="Dudas, Gytis" uniqKey="Dudas G" first="Gytis" last="Dudas">Gytis Dudas</name>
<affiliation wicri:level="1"><nlm:aff id="aff1"><institution content-type="dept">Vaccine and Infectious Disease Division</institution>
<institution>Fred Hutchinson Cancer Research Center</institution>
<addr-line>Seattle</addr-line>
<country>United States</country>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Carvalho, Luiz Max" sort="Carvalho, Luiz Max" uniqKey="Carvalho L" first="Luiz Max" last="Carvalho">Luiz Max Carvalho</name>
<affiliation wicri:level="1"><nlm:aff id="aff2"><institution content-type="dept">Institute of Evolutionary Biology</institution>
<institution>University of Edinburgh</institution>
<addr-line>Edinburgh</addr-line>
<country>United Kingdom</country>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Rambaut, Andrew" sort="Rambaut, Andrew" uniqKey="Rambaut A" first="Andrew" last="Rambaut">Andrew Rambaut</name>
<affiliation wicri:level="1"><nlm:aff id="aff2"><institution content-type="dept">Institute of Evolutionary Biology</institution>
<institution>University of Edinburgh</institution>
<addr-line>Edinburgh</addr-line>
<country>United Kingdom</country>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><nlm:aff id="aff3"><institution content-type="dept">Fogarty International Center</institution>
<institution>National Institutes of Health</institution>
<addr-line>Bethesda</addr-line>
<country>United States</country>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Bedford, Trevor" sort="Bedford, Trevor" uniqKey="Bedford T" first="Trevor" last="Bedford">Trevor Bedford</name>
<affiliation wicri:level="1"><nlm:aff id="aff1"><institution content-type="dept">Vaccine and Infectious Disease Division</institution>
<institution>Fred Hutchinson Cancer Research Center</institution>
<addr-line>Seattle</addr-line>
<country>United States</country>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series><title level="j">eLife</title>
<idno type="eISSN">2050-084X</idno>
<imprint><date when="????">????</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
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<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic virus from camels causing significant mortality and morbidity in humans in the Arabian Peninsula. The epidemiology of the virus remains poorly understood, and while case-based and seroepidemiological studies have been employed extensively throughout the epidemic, viral sequence data have not been utilised to their full potential. Here, we use existing MERS-CoV sequence data to explore its phylodynamics in two of its known major hosts, humans and camels. We employ structured coalescent models to show that long-term MERS-CoV evolution occurs exclusively in camels, whereas humans act as a transient, and ultimately terminal host. By analysing the distribution of human outbreak cluster sizes and zoonotic introduction times, we show that human outbreaks in the Arabian peninsula are driven by seasonally varying zoonotic transfer of viruses from camels. Without heretofore unseen evolution of host tropism, MERS-CoV is unlikely to become endemic in humans.</p>
</div>
</front>
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<pubmed><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">MERS-CoV spillover at the camel-human interface.</title>
<author><name sortKey="Dudas, Gytis" sort="Dudas, Gytis" uniqKey="Dudas G" first="Gytis" last="Dudas">Gytis Dudas</name>
<affiliation wicri:level="1"><nlm:affiliation>Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle</wicri:regionArea>
<wicri:noRegion>Seattle</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Carvalho, Luiz Max" sort="Carvalho, Luiz Max" uniqKey="Carvalho L" first="Luiz Max" last="Carvalho">Luiz Max Carvalho</name>
<affiliation wicri:level="4"><nlm:affiliation>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh</wicri:regionArea>
<placeName><settlement type="city">Édimbourg</settlement>
<region type="country">Écosse</region>
</placeName>
<orgName type="university">Université d'Édimbourg</orgName>
</affiliation>
</author>
<author><name sortKey="Rambaut, Andrew" sort="Rambaut, Andrew" uniqKey="Rambaut A" first="Andrew" last="Rambaut">Andrew Rambaut</name>
<affiliation wicri:level="4"><nlm:affiliation>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh</wicri:regionArea>
<placeName><settlement type="city">Édimbourg</settlement>
<region type="country">Écosse</region>
</placeName>
<orgName type="university">Université d'Édimbourg</orgName>
</affiliation>
</author>
<author><name sortKey="Bedford, Trevor" sort="Bedford, Trevor" uniqKey="Bedford T" first="Trevor" last="Bedford">Trevor Bedford</name>
<affiliation wicri:level="1"><nlm:affiliation>Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle</wicri:regionArea>
<wicri:noRegion>Seattle</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
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<date when="2018">2018</date>
<idno type="RBID">pubmed:29336306</idno>
<idno type="pmid">29336306</idno>
<idno type="doi">10.7554/eLife.31257</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">MERS-CoV spillover at the camel-human interface.</title>
<author><name sortKey="Dudas, Gytis" sort="Dudas, Gytis" uniqKey="Dudas G" first="Gytis" last="Dudas">Gytis Dudas</name>
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<wicri:noRegion>Seattle</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Carvalho, Luiz Max" sort="Carvalho, Luiz Max" uniqKey="Carvalho L" first="Luiz Max" last="Carvalho">Luiz Max Carvalho</name>
<affiliation wicri:level="4"><nlm:affiliation>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh</wicri:regionArea>
<placeName><settlement type="city">Édimbourg</settlement>
<region type="country">Écosse</region>
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<orgName type="university">Université d'Édimbourg</orgName>
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</author>
<author><name sortKey="Rambaut, Andrew" sort="Rambaut, Andrew" uniqKey="Rambaut A" first="Andrew" last="Rambaut">Andrew Rambaut</name>
<affiliation wicri:level="4"><nlm:affiliation>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Institute of Evolutionary Biology, University of Edinburgh, Edinburgh</wicri:regionArea>
<placeName><settlement type="city">Édimbourg</settlement>
<region type="country">Écosse</region>
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<orgName type="university">Université d'Édimbourg</orgName>
</affiliation>
</author>
<author><name sortKey="Bedford, Trevor" sort="Bedford, Trevor" uniqKey="Bedford T" first="Trevor" last="Bedford">Trevor Bedford</name>
<affiliation wicri:level="1"><nlm:affiliation>Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle</wicri:regionArea>
<wicri:noRegion>Seattle</wicri:noRegion>
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<series><title level="j">eLife</title>
<idno type="eISSN">2050-084X</idno>
<imprint><date when="2018" type="published">2018</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
<term>Camelus</term>
<term>Cluster Analysis</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Coronavirus Infections (veterinary)</term>
<term>Disease Outbreaks</term>
<term>Disease Transmission, Infectious</term>
<term>Genetic Variation</term>
<term>Humans</term>
<term>Middle East Respiratory Syndrome Coronavirus (classification)</term>
<term>Middle East Respiratory Syndrome Coronavirus (genetics)</term>
<term>Middle East Respiratory Syndrome Coronavirus (isolation & purification)</term>
<term>Molecular Epidemiology</term>
<term>Phylogeny</term>
<term>Sequence Analysis, DNA</term>
<term>Zoonoses (epidemiology)</term>
<term>Zoonoses (transmission)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de regroupements</term>
<term>Analyse de séquence d'ADN</term>
<term>Animaux</term>
<term>Chameaux</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient ()</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (génétique)</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification)</term>
<term>Flambées de maladies</term>
<term>Humains</term>
<term>Infections à coronavirus (médecine vétérinaire)</term>
<term>Infections à coronavirus (transmission)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Phylogénie</term>
<term>Transmission de maladie infectieuse</term>
<term>Variation génétique</term>
<term>Zoonoses (transmission)</term>
<term>Zoonoses (épidémiologie)</term>
<term>Épidémiologie moléculaire</term>
</keywords>
<keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr"><term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="MESH" qualifier="veterinary" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Camelus</term>
<term>Cluster Analysis</term>
<term>Disease Outbreaks</term>
<term>Disease Transmission, Infectious</term>
<term>Genetic Variation</term>
<term>Humans</term>
<term>Molecular Epidemiology</term>
<term>Phylogeny</term>
<term>Sequence Analysis, DNA</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Analyse de regroupements</term>
<term>Analyse de séquence d'ADN</term>
<term>Animaux</term>
<term>Chameaux</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
<term>Flambées de maladies</term>
<term>Humains</term>
<term>Phylogénie</term>
<term>Transmission de maladie infectieuse</term>
<term>Variation génétique</term>
<term>Épidémiologie moléculaire</term>
</keywords>
</textClass>
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</teiHeader>
<front><div type="abstract" xml:lang="en">Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic virus from camels causing significant mortality and morbidity in humans in the Arabian Peninsula. The epidemiology of the virus remains poorly understood, and while case-based and seroepidemiological studies have been employed extensively throughout the epidemic, viral sequence data have not been utilised to their full potential. Here, we use existing MERS-CoV sequence data to explore its phylodynamics in two of its known major hosts, humans and camels. We employ structured coalescent models to show that long-term MERS-CoV evolution occurs exclusively in camels, whereas humans act as a transient, and ultimately terminal host. By analysing the distribution of human outbreak cluster sizes and zoonotic introduction times, we show that human outbreaks in the Arabian peninsula are driven by seasonally varying zoonotic transfer of viruses from camels. Without heretofore unseen evolution of host tropism, MERS-CoV is unlikely to become endemic in humans.</div>
</front>
</TEI>
</pubmed>
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HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i -Sk "pubmed:29336306" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd \ | NlmPubMed2Wicri -a MersV1
![]() | This area was generated with Dilib version V0.6.33. | ![]() |