Global Epidemiology of Bat Coronaviruses
Identifieur interne : 000296 ( Pmc/Checkpoint ); précédent : 000295; suivant : 000297Global Epidemiology of Bat Coronaviruses
Auteurs : Antonio C. P. Wong ; Xin Li ; Susanna K. P. Lau [Hong Kong] ; Patrick C. Y. Woo [Hong Kong]Source :
- Viruses [ 1999-4915 ] ; 2019.
Abstract
Bats are a unique group of mammals of the order
Url:
DOI: 10.3390/v11020174
PubMed: 30791586
PubMed Central: 6409556
Affiliations:
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<author><name sortKey="Li, Xin" sort="Li, Xin" uniqKey="Li X" first="Xin" last="Li">Xin Li</name>
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<series><title level="j">Viruses</title>
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<imprint><date when="2019">2019</date>
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<front><div type="abstract" xml:lang="en"><p>Bats are a unique group of mammals of the order <italic>Chiroptera</italic>
. They are highly diversified and are the group of mammals with the second largest number of species. Such highly diversified cell types and receptors facilitate them to be potential hosts of a large variety of viruses. Bats are the only group of mammals capable of sustained flight, which enables them to disseminate the viruses they harbor and enhance the chance of interspecies transmission. This article aims at reviewing the various aspects of the global epidemiology of bat coronaviruses (CoVs). Before the SARS epidemic, bats were not known to be hosts for CoVs. In the last 15 years, bats have been found to be hosts of >30 CoVs with complete genomes sequenced, and many more if those without genome sequences are included. Among the four CoV genera, only alphaCoVs and betaCoVs have been found in bats. As a whole, both alphaCoVs and betaCoVs have been detected from bats in Asia, Europe, Africa, North and South America and Australasia; but alphaCoVs seem to be more widespread than betaCoVs, and their detection rate is also higher. For betaCoVs, only those from subgenera <italic>Sarbecovirus</italic>
, <italic>Merbecovirus</italic>
, <italic>Nobecovirus</italic>
and <italic>Hibecovirus</italic>
have been detected in bats. Most notably, horseshoe bats are the reservoir of SARS-CoV, and several betaCoVs from subgenus <italic>Merbecovirus</italic>
are closely related to MERS-CoV. In addition to the interactions among various bat species themselves, bat–animal and bat–human interactions, such as the presence of live bats in wildlife wet markets and restaurants in Southern China, are important for interspecies transmission of CoVs and may lead to devastating global outbreaks.</p>
</div>
</front>
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<pmc article-type="review-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Viruses</journal-id>
<journal-id journal-id-type="iso-abbrev">Viruses</journal-id>
<journal-id journal-id-type="publisher-id">viruses</journal-id>
<journal-title-group><journal-title>Viruses</journal-title>
</journal-title-group>
<issn pub-type="epub">1999-4915</issn>
<publisher><publisher-name>MDPI</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">30791586</article-id>
<article-id pub-id-type="pmc">6409556</article-id>
<article-id pub-id-type="doi">10.3390/v11020174</article-id>
<article-id pub-id-type="publisher-id">viruses-11-00174</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Review</subject>
</subj-group>
</article-categories>
<title-group><article-title>Global Epidemiology of Bat Coronaviruses</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0002-5565-1121</contrib-id>
<name><surname>Wong</surname>
<given-names>Antonio C. P.</given-names>
</name>
<xref ref-type="aff" rid="af1-viruses-11-00174">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="af1-viruses-11-00174">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Lau</surname>
<given-names>Susanna K. P.</given-names>
</name>
<xref ref-type="aff" rid="af1-viruses-11-00174">1</xref>
<xref ref-type="aff" rid="af2-viruses-11-00174">2</xref>
<xref ref-type="aff" rid="af3-viruses-11-00174">3</xref>
<xref ref-type="aff" rid="af4-viruses-11-00174">4</xref>
<xref ref-type="aff" rid="af5-viruses-11-00174">5</xref>
<xref rid="c1-viruses-11-00174" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="true">https://orcid.org/0000-0001-9401-1832</contrib-id>
<name><surname>Woo</surname>
<given-names>Patrick C. Y.</given-names>
</name>
<xref ref-type="aff" rid="af1-viruses-11-00174">1</xref>
<xref ref-type="aff" rid="af2-viruses-11-00174">2</xref>
<xref ref-type="aff" rid="af3-viruses-11-00174">3</xref>
<xref ref-type="aff" rid="af4-viruses-11-00174">4</xref>
<xref ref-type="aff" rid="af5-viruses-11-00174">5</xref>
<xref rid="c1-viruses-11-00174" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="af1-viruses-11-00174"><label>1</label>
Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong;<email>antonwcp@hku.hk</email>
(A.C.P.W);<email>lixinlyh@connect.hku.hk</email>
(X.L.)</aff>
<aff id="af2-viruses-11-00174"><label>2</label>
State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong</aff>
<aff id="af3-viruses-11-00174"><label>3</label>
Research Centre of Infection and Immunology, The University of Hong Kong, Pokfulam, Hong Kong</aff>
<aff id="af4-viruses-11-00174"><label>4</label>
Carol Yu Centre for Infection, The University of Hong Kong, Pokfulam, Hong Kong</aff>
<aff id="af5-viruses-11-00174"><label>5</label>
Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong</aff>
<author-notes><corresp id="c1-viruses-11-00174"><label>*</label>
Correspondence: <email>skplau@hku.hk</email>
(S.K.P.L.); <email>pcywoo@hku.hk</email>
(P.C.Y.W.); Tel.: +852-2255-4892 (S.K.P.L. & P.C.Y.W.); Fax: +852-2855-1241 (S.K.P.L. & P.C.Y.W.)</corresp>
</author-notes>
<pub-date pub-type="epub"><day>20</day>
<month>2</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="collection"><month>2</month>
<year>2019</year>
</pub-date>
<volume>11</volume>
<issue>2</issue>
<elocation-id>174</elocation-id>
<history><date date-type="received"><day>09</day>
<month>1</month>
<year>2019</year>
</date>
<date date-type="accepted"><day>18</day>
<month>2</month>
<year>2019</year>
</date>
</history>
<permissions><copyright-statement>© 2019 by the authors.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access"><license-p>Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
).</license-p>
</license>
</permissions>
<abstract><p>Bats are a unique group of mammals of the order <italic>Chiroptera</italic>
. They are highly diversified and are the group of mammals with the second largest number of species. Such highly diversified cell types and receptors facilitate them to be potential hosts of a large variety of viruses. Bats are the only group of mammals capable of sustained flight, which enables them to disseminate the viruses they harbor and enhance the chance of interspecies transmission. This article aims at reviewing the various aspects of the global epidemiology of bat coronaviruses (CoVs). Before the SARS epidemic, bats were not known to be hosts for CoVs. In the last 15 years, bats have been found to be hosts of >30 CoVs with complete genomes sequenced, and many more if those without genome sequences are included. Among the four CoV genera, only alphaCoVs and betaCoVs have been found in bats. As a whole, both alphaCoVs and betaCoVs have been detected from bats in Asia, Europe, Africa, North and South America and Australasia; but alphaCoVs seem to be more widespread than betaCoVs, and their detection rate is also higher. For betaCoVs, only those from subgenera <italic>Sarbecovirus</italic>
, <italic>Merbecovirus</italic>
, <italic>Nobecovirus</italic>
and <italic>Hibecovirus</italic>
have been detected in bats. Most notably, horseshoe bats are the reservoir of SARS-CoV, and several betaCoVs from subgenus <italic>Merbecovirus</italic>
are closely related to MERS-CoV. In addition to the interactions among various bat species themselves, bat–animal and bat–human interactions, such as the presence of live bats in wildlife wet markets and restaurants in Southern China, are important for interspecies transmission of CoVs and may lead to devastating global outbreaks.</p>
</abstract>
<kwd-group><kwd>global</kwd>
<kwd>epidemiology</kwd>
<kwd>bat</kwd>
<kwd>coronavirus</kwd>
<kwd><italic>Alphacoronavirus</italic>
</kwd>
<kwd><italic>Betacoronavirus</italic>
</kwd>
<kwd>interspecies transmission</kwd>
<kwd>host</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group><fig id="viruses-11-00174-f001" orientation="portrait" position="float"><label>Figure 1</label>
<caption><p>Maximum-likelihood phylogeny based on the complete genome sequences of 17 bat CoV species released by ICTV in 2018. A general time-reversible model of nucleotide substitution with estimated base frequencies, the proportion of invariant sites, and the γ distribution of rates across sites were used in the maximum-likelihood analysis. Bootstrap values are shown next to the branches. The scale bar indicates the number of nucleotide substitutions per site. Different colors represent different genera. Red, <italic>Alphacoronavirus</italic>
; blue, <italic>Betacoronavirus</italic>
. Updated subgenera clusters are labelled <italic>Setracovirus, Myotacovirus, Rhinacovirus, Colacovirus, Pedacovirus, Decacovirus, Minunacovirus, Nyctacovirus</italic>
for the <italic>Alphacoronavirus</italic>
and <italic>Nobecovirus, Hibecovirus, Sarbecovirus, Merbecovirus</italic>
for the <italic>Betacoronavirus</italic>
.</p>
</caption>
<graphic xlink:href="viruses-11-00174-g001"></graphic>
</fig>
<fig id="viruses-11-00174-f002" orientation="portrait" position="float"><label>Figure 2</label>
<caption><p>Geographical distribution of bat CoVs from the genera <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
. Each colored region represents the country which reported the discovery of bat CoV. Red regions represent the countries which discovered bat <italic>Alphacoornavirus</italic>
. Green regions represent the countries which discovered bat <italic>Betacoronavirus</italic>
. Red-green striped regions represent the countries which discovered both bat <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
.</p>
</caption>
<graphic xlink:href="viruses-11-00174-g002"></graphic>
</fig>
<fig id="viruses-11-00174-f003" orientation="portrait" position="float"><label>Figure 3</label>
<caption><p>Pie chart showing the relative detection rate of different bat CoVs from different subgenera of <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
in Hong Kong from 2008 to 2017. The potential zoonotic transmission routes of each sub-genus of bat CoV detected are shown. Unclassified <italic>Alphacoronavirus</italic>
represents those without complete genome sequences or genome characterization. Red color represents the sub-genera from <italic>Alphacoronavirus</italic>
; Blue color represents the sub-genera from <italic>Betacoronavirus</italic>
.</p>
</caption>
<graphic xlink:href="viruses-11-00174-g003"></graphic>
</fig>
<fig id="viruses-11-00174-f004" orientation="portrait" position="float"><label>Figure 4</label>
<caption><p>Geographical distribution of different horseshoe bats which were discovered to carry SARS-like BatCoV [<xref rid="B114-viruses-11-00174" ref-type="bibr">114</xref>
,<xref rid="B115-viruses-11-00174" ref-type="bibr">115</xref>
,<xref rid="B116-viruses-11-00174" ref-type="bibr">116</xref>
,<xref rid="B117-viruses-11-00174" ref-type="bibr">117</xref>
,<xref rid="B118-viruses-11-00174" ref-type="bibr">118</xref>
,<xref rid="B119-viruses-11-00174" ref-type="bibr">119</xref>
,<xref rid="B120-viruses-11-00174" ref-type="bibr">120</xref>
,<xref rid="B121-viruses-11-00174" ref-type="bibr">121</xref>
,<xref rid="B122-viruses-11-00174" ref-type="bibr">122</xref>
,<xref rid="B123-viruses-11-00174" ref-type="bibr">123</xref>
,<xref rid="B124-viruses-11-00174" ref-type="bibr">124</xref>
,<xref rid="B125-viruses-11-00174" ref-type="bibr">125</xref>
]. Each colored rectangular box represents the geographical distribution of a specific horseshoe bat species respectively: red box, <italic>Rhinolophus affinis</italic>
; orange box, <italic>Rhinolophus blasii</italic>
; yellow box, <italic>Rhinolophus euryale</italic>
; green box, <italic>Rhinolophus ferrumequinum</italic>
; turquoise box, <italic>Rhinolophus hildebrantii</italic>
; indigo box, <italic>Rhinolophus hipposideros</italic>
; purple box, <italic>Rhinolophus macrotis</italic>
; brown box, <italic>Rhinolophus mehelyi</italic>
; pink box, <italic>Rhinolophus pearsonii</italic>
; gold box, <italic>Rhinolophus pusillus</italic>
; blue-gray box, <italic>Rhinolophus rex</italic>
; black box, <italic>Rhinolophus sinicus</italic>
; lime box, <italic>Rhinolophus thomasi</italic>
. Orange circle represents Yunnan Province; Red circle represents the origin of SARS & SADS outbreaks.</p>
</caption>
<graphic xlink:href="viruses-11-00174-g004"></graphic>
</fig>
<fig id="viruses-11-00174-f005" orientation="portrait" position="float"><label>Figure 5</label>
<caption><p>Geographical distribution of bat CoVs from the genus <italic>Betacoronavirus</italic>
. Each colored region represents the country which reported the discovery of bat CoV from different sub-genera. Navy-blue regions represent the countries which discovered bat CoVs from <italic>Sarbecovirus</italic>
. Yellow regions represent the countries which discovered bat CoVs from <italic>Merbecovirus</italic>
. Purple regions represent the countries which discovered bat CoVs from <italic>Nobecovirus</italic>
.</p>
</caption>
<graphic xlink:href="viruses-11-00174-g005"></graphic>
</fig>
</floats-group>
</pmc>
<affiliations><list><country><li>Hong Kong</li>
</country>
</list>
<tree><noCountry><name sortKey="Li, Xin" sort="Li, Xin" uniqKey="Li X" first="Xin" last="Li">Xin Li</name>
<name sortKey="Wong, Antonio C P" sort="Wong, Antonio C P" uniqKey="Wong A" first="Antonio C. P." last="Wong">Antonio C. P. Wong</name>
</noCountry>
<country name="Hong Kong"><noRegion><name sortKey="Lau, Susanna K P" sort="Lau, Susanna K P" uniqKey="Lau S" first="Susanna K. P." last="Lau">Susanna K. P. Lau</name>
</noRegion>
<name sortKey="Lau, Susanna K P" sort="Lau, Susanna K P" uniqKey="Lau S" first="Susanna K. P." last="Lau">Susanna K. P. Lau</name>
<name sortKey="Lau, Susanna K P" sort="Lau, Susanna K P" uniqKey="Lau S" first="Susanna K. P." last="Lau">Susanna K. P. Lau</name>
<name sortKey="Lau, Susanna K P" sort="Lau, Susanna K P" uniqKey="Lau S" first="Susanna K. P." last="Lau">Susanna K. P. Lau</name>
<name sortKey="Woo, Patrick C Y" sort="Woo, Patrick C Y" uniqKey="Woo P" first="Patrick C. Y." last="Woo">Patrick C. Y. Woo</name>
<name sortKey="Woo, Patrick C Y" sort="Woo, Patrick C Y" uniqKey="Woo P" first="Patrick C. Y." last="Woo">Patrick C. Y. Woo</name>
<name sortKey="Woo, Patrick C Y" sort="Woo, Patrick C Y" uniqKey="Woo P" first="Patrick C. Y." last="Woo">Patrick C. Y. Woo</name>
<name sortKey="Woo, Patrick C Y" sort="Woo, Patrick C Y" uniqKey="Woo P" first="Patrick C. Y." last="Woo">Patrick C. Y. Woo</name>
</country>
</tree>
</affiliations>
</record>
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