CovidV2, Pmc, Corpus, bibRecord, 000781

Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)

Identifieur interne : 000781 ( Pmc/Corpus ); précédent : 000780; suivant : 000782

Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)

Auteurs : J. Jeong ; C. S. Smith ; A. J. Peel ; R. K. Plowright ; D. H. Kerlin ; J. Mcbroom ; H. Mccallum

Source :

Epidemiology and infection [ 0950-2688 ] ; 2017.

RBID : PMC:5776035

Abstract

SUMMARY

Understanding viral transmission dynamics within populations of reservoir hosts can facilitate greater knowledge of the spillover of emerging infectious diseases. While bat-borne viruses are of concern to public health, investigations into their dynamics have been limited by a lack of longitudinal data from individual bats. Here, we examine capture–mark–recapture (CMR) data from a species of Australian bat (Myotis macropus) infected with a putative novel Alphacoronavirus within a Bayesian framework. Then, we developed epidemic models to estimate the effect of persistently infectious individuals (which shed viruses for extensive periods) on the probability of viral maintenance within the study population. We found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats. Maintenance of coronavirus within the study population was more likely in an epidemic model that included both persistently and transiently infectious bats, compared with the epidemic model with non-grouping of bats. These findings, using rare CMR data from longitudinal samples of individual bats, increase our understanding of transmission dynamics of bat viral infectious diseases.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5776035

DOI: 10.1017/S0950268817000991
PubMed: 28528587
PubMed Central: 5776035

Links to Exploration step

PMC:5776035

Le document en format XML

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<author><name sortKey="Jeong, J" sort="Jeong, J" uniqKey="Jeong J" first="J." last="Jeong">J. Jeong</name>
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<author><name sortKey="Smith, C S" sort="Smith, C S" uniqKey="Smith C" first="C. S." last="Smith">C. S. Smith</name>
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<author><name sortKey="Peel, A J" sort="Peel, A J" uniqKey="Peel A" first="A. J." last="Peel">A. J. Peel</name>
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<author><name sortKey="Plowright, R K" sort="Plowright, R K" uniqKey="Plowright R" first="R. K." last="Plowright">R. K. Plowright</name>
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<author><name sortKey="Mcbroom, J" sort="Mcbroom, J" uniqKey="Mcbroom J" first="J." last="Mcbroom">J. Mcbroom</name>
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<author><name sortKey="Smith, C S" sort="Smith, C S" uniqKey="Smith C" first="C. S." last="Smith">C. S. Smith</name>
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<author><name sortKey="Peel, A J" sort="Peel, A J" uniqKey="Peel A" first="A. J." last="Peel">A. J. Peel</name>
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<author><name sortKey="Plowright, R K" sort="Plowright, R K" uniqKey="Plowright R" first="R. K." last="Plowright">R. K. Plowright</name>
<affiliation><nlm:aff id="A3">Department of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA</nlm:aff>
</affiliation>
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<author><name sortKey="Kerlin, D H" sort="Kerlin, D H" uniqKey="Kerlin D" first="D. H." last="Kerlin">D. H. Kerlin</name>
<affiliation><nlm:aff id="A1">Griffith Wildlife Disease Ecology Group, Environmental Futures Research Institute, School of Environment, Griffith University, Nathan, Queensland, Australia</nlm:aff>
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<author><name sortKey="Mcbroom, J" sort="Mcbroom, J" uniqKey="Mcbroom J" first="J." last="Mcbroom">J. Mcbroom</name>
<affiliation><nlm:aff id="A4">School of Environment, Griffith University, Nathan, Queensland, Australia</nlm:aff>
</affiliation>
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<author><name sortKey="Mccallum, H" sort="Mccallum, H" uniqKey="Mccallum H" first="H." last="Mccallum">H. Mccallum</name>
<affiliation><nlm:aff id="A1">Griffith Wildlife Disease Ecology Group, Environmental Futures Research Institute, School of Environment, Griffith University, Nathan, Queensland, Australia</nlm:aff>
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<series><title level="j">Epidemiology and infection</title>
<idno type="ISSN">0950-2688</idno>
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<front><div type="abstract" xml:lang="en"><title>SUMMARY</title>
<p id="P1">Understanding viral transmission dynamics within populations of reservoir hosts can facilitate greater knowledge of the spillover of emerging infectious diseases. While bat-borne viruses are of concern to public health, investigations into their dynamics have been limited by a lack of longitudinal data from individual bats. Here, we examine capture–mark–recapture (CMR) data from a species of Australian bat (<italic>Myotis macropus</italic>
) infected with a putative novel <italic>Alphacoronavirus</italic>
 within a Bayesian framework. Then, we developed epidemic models to estimate the effect of persistently infectious individuals (which shed viruses for extensive periods) on the probability of viral maintenance within the study population. We found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats. Maintenance of coronavirus within the study population was more likely in an epidemic model that included both persistently and transiently infectious bats, compared with the epidemic model with non-grouping of bats. These findings, using rare CMR data from longitudinal samples of individual bats, increase our understanding of transmission dynamics of bat viral infectious diseases.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
  <pmc-dir>properties manuscript</pmc-dir>
  <front><journal-meta><journal-id journal-id-type="nlm-journal-id">8703737</journal-id>
<journal-id journal-id-type="pubmed-jr-id">3646</journal-id>
<journal-id journal-id-type="nlm-ta">Epidemiol Infect</journal-id>
<journal-id journal-id-type="iso-abbrev">Epidemiol. Infect.</journal-id>
<journal-title-group><journal-title>Epidemiology and infection</journal-title>
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<issn pub-type="ppub">0950-2688</issn>
<issn pub-type="epub">1469-4409</issn>
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<article-meta><article-id pub-id-type="pmid">28528587</article-id>
<article-id pub-id-type="pmc">5776035</article-id>
<article-id pub-id-type="doi">10.1017/S0950268817000991</article-id>
<article-id pub-id-type="manuscript">NIHMS933497</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Persistent infections support maintenance of a coronavirus in a population of Australian bats (<italic>Myotis macropus</italic>
)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>JEONG</surname>
<given-names>J.</given-names>
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<xref ref-type="aff" rid="A1">1</xref>
<xref rid="FN1" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>SMITH</surname>
<given-names>C. S.</given-names>
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<xref ref-type="aff" rid="A2">2</xref>
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<contrib contrib-type="author"><name><surname>PEEL</surname>
<given-names>A. J.</given-names>
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<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>PLOWRIGHT</surname>
<given-names>R. K.</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>KERLIN</surname>
<given-names>D. H.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>MCBROOM</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
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<contrib contrib-type="author"><name><surname>MCCALLUM</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
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<aff id="A1"><label>1</label>
Griffith Wildlife Disease Ecology Group, Environmental Futures Research Institute, School of Environment, Griffith University, Nathan, Queensland, Australia</aff>
<aff id="A2"><label>2</label>
School of Veterinary Science, University of Queensland, Gatton, Queensland, Australia</aff>
<aff id="A3"><label>3</label>
Department of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA</aff>
<aff id="A4"><label>4</label>
School of Environment, Griffith University, Nathan, Queensland, Australia</aff>
<author-notes><corresp id="FN1"><label>*</label>
Author for correspondence: J. Jeong, Griffith Wildlife Disease Ecology Group, Environmental Futures Research Institute, School of Environment, Griffith University, N11 170 Kessels Road Nathan Queensland 4111, Australia. (<email>jaewoon.jeong@griffithuni.edu.au</email>
)</corresp>
<fn fn-type="COI-statement" id="FN2"><p>DECLARATION OF INTEREST</p>
<p>None.</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>12</day>
<month>1</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub"><day>22</day>
<month>5</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="ppub"><month>7</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>21</day>
<month>1</month>
<year>2018</year>
</pub-date>
<volume>145</volume>
<issue>10</issue>
<fpage>2053</fpage>
<lpage>2061</lpage>
<pmc-comment>elocation-id from pubmed: 10.1017/S0950268817000991</pmc-comment>
      <abstract><title>SUMMARY</title>
<p id="P1">Understanding viral transmission dynamics within populations of reservoir hosts can facilitate greater knowledge of the spillover of emerging infectious diseases. While bat-borne viruses are of concern to public health, investigations into their dynamics have been limited by a lack of longitudinal data from individual bats. Here, we examine capture–mark–recapture (CMR) data from a species of Australian bat (<italic>Myotis macropus</italic>
) infected with a putative novel <italic>Alphacoronavirus</italic>
 within a Bayesian framework. Then, we developed epidemic models to estimate the effect of persistently infectious individuals (which shed viruses for extensive periods) on the probability of viral maintenance within the study population. We found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats. Maintenance of coronavirus within the study population was more likely in an epidemic model that included both persistently and transiently infectious bats, compared with the epidemic model with non-grouping of bats. These findings, using rare CMR data from longitudinal samples of individual bats, increase our understanding of transmission dynamics of bat viral infectious diseases.</p>
</abstract>
<kwd-group><kwd>Bayesian analysis</kwd>
<kwd>coronavirus</kwd>
<kwd>epidemiological modelling</kwd>
<kwd><italic>Myotis macropus</italic>
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<kwd>persistent infection</kwd>
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Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)

Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)

Source :

Abstract

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