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Beech Fructification and Bank Vole Population Dynamics - Combined Analyses of Promoters of Human Puumala Virus Infections in Germany

Identifieur interne : 000279 ( Ncbi/Merge ); précédent : 000278; suivant : 000280

Beech Fructification and Bank Vole Population Dynamics - Combined Analyses of Promoters of Human Puumala Virus Infections in Germany

Auteurs : Daniela Reil [Allemagne] ; Christian Imholt [Allemagne] ; Jana Anja Eccard [Allemagne] ; Jens Jacob [Allemagne]

Source :

RBID : PMC:4516252

Abstract

The transmission of wildlife zoonoses to humans depends, amongst others, on complex interactions of host population ecology and pathogen dynamics within host populations. In Europe, the Puumala virus (PUUV) causes nephropathia epidemica in humans. In this study we investigated complex interrelations within the epidemic system of PUUV and its rodent host, the bank vole (Myodes glareolus). We suggest that beech fructification and bank vole abundance are both decisive factors affecting human PUUV infections. While rodent host dynamics are expected to be directly linked to human PUUV infections, beech fructification is a rather indirect predictor by serving as food source for PUUV rodent hosts. Furthermore, we examined the dependence of bank vole abundance on beech fructification. We analysed a 12-year (2001-2012) time series of the parameters: beech fructification (as food resource for the PUUV host), bank vole abundance and human incidences from 7 Federal States of Germany. For the first time, we could show the direct interrelation between these three parameters involved in human PUUV epidemics and we were able to demonstrate on a large scale that human PUUV infections are highly correlated with bank vole abundance in the present year, as well as beech fructification in the previous year. By using beech fructification and bank vole abundance as predictors in one model we significantly improved the degree of explanation of human PUUV incidence. Federal State was included as random factor because human PUUV incidence varies considerably among states. Surprisingly, the effect of rodent abundance on human PUUV infections is less strong compared to the indirect effect of beech fructification. Our findings are useful to facilitate the development of predictive models for host population dynamics and the related PUUV infection risk for humans and can be used for plant protection and human health protection purposes.


Url:
DOI: 10.1371/journal.pone.0134124
PubMed: 26214509
PubMed Central: 4516252

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PMC:4516252

Le document en format XML

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<journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
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<journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26214509</article-id>
<article-id pub-id-type="pmc">4516252</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0134124</article-id>
<article-id pub-id-type="publisher-id">PONE-D-14-56977</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Beech Fructification and Bank Vole Population Dynamics - Combined Analyses of Promoters of Human Puumala Virus Infections in Germany</article-title>
<alt-title alt-title-type="running-head">Factors Impacting Human Puumala Virus Infections in Germany</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Reil</surname>
<given-names>Daniela</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref rid="cor001" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Imholt</surname>
<given-names>Christian</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eccard</surname>
<given-names>Jana Anja</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jacob</surname>
<given-names>Jens</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Horticulture and Forests, Vertebrate Research, Muenster, Germany</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>University of Potsdam, Institute of Biochemistry and Biology, Animal Ecology, Potsdam, Germany</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Waldenström</surname>
<given-names>Jonas</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>Linneaus University, SWEDEN</addr-line>
</aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>
<bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con" id="contrib001">
<p>Conceived and designed the experiments: DR JJ. Performed the experiments: DR. Analyzed the data: DR. Wrote the paper: DR JJ JE CI.</p>
</fn>
<corresp id="cor001">* E-mail:
<email>daniela.reil@jki.bund.de</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>7</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection">
<year>2015</year>
</pub-date>
<volume>10</volume>
<issue>7</issue>
<elocation-id>e0134124</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>12</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>6</day>
<month>7</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-year>2015</copyright-year>
<copyright-holder>Reil et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0134124.pdf"></self-uri>
<abstract>
<p>The transmission of wildlife zoonoses to humans depends, amongst others, on complex interactions of host population ecology and pathogen dynamics within host populations. In Europe, the Puumala virus (PUUV) causes nephropathia epidemica in humans. In this study we investigated complex interrelations within the epidemic system of PUUV and its rodent host, the bank vole (
<italic>Myodes glareolus</italic>
). We suggest that beech fructification and bank vole abundance are both decisive factors affecting human PUUV infections. While rodent host dynamics are expected to be directly linked to human PUUV infections, beech fructification is a rather indirect predictor by serving as food source for PUUV rodent hosts. Furthermore, we examined the dependence of bank vole abundance on beech fructification. We analysed a 12-year (2001-2012) time series of the parameters: beech fructification (as food resource for the PUUV host), bank vole abundance and human incidences from 7 Federal States of Germany. For the first time, we could show the direct interrelation between these three parameters involved in human PUUV epidemics and we were able to demonstrate on a large scale that human PUUV infections are highly correlated with bank vole abundance in the present year, as well as beech fructification in the previous year. By using beech fructification and bank vole abundance as predictors in one model we significantly improved the degree of explanation of human PUUV incidence. Federal State was included as random factor because human PUUV incidence varies considerably among states. Surprisingly, the effect of rodent abundance on human PUUV infections is less strong compared to the indirect effect of beech fructification. Our findings are useful to facilitate the development of predictive models for host population dynamics and the related PUUV infection risk for humans and can be used for plant protection and human health protection purposes.</p>
</abstract>
<funding-group>
<funding-statement>This study was commissioned and funded by the Federal Environment Agency (UBA) within the Environment Research Plan of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB) (grant number 3709 41 401). The funders had no role in study design, data collection and analysis, or decision to publish. An employee of UBA provided comments and authorised the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"></fig-count>
<table-count count="3"></table-count>
<page-count count="14"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All raw data used in the manuscript were provided without charge by the agencies listed: Human Puumala virus infection data are available from SurvStat@RKI 2.0 (
<ext-link ext-link-type="uri" xlink:href="https://survstat.rki.de/">https://survstat.rki.de/</ext-link>
). Beech fructification and bank vole abundance data were provided by the Bavarian State Institute of Forestry (
<ext-link ext-link-type="uri" xlink:href="http://www.lwf.bayern.de">www.lwf.bayern.de</ext-link>
), the Forest Research Institute of Baden-Württemberg (
<ext-link ext-link-type="uri" xlink:href="http://www.fva-bw.de">www.fva-bw.de</ext-link>
,
<ext-link ext-link-type="uri" xlink:href="http://www.stefanmeining.de">www.stefanmeining.de</ext-link>
), the Brandenburg Forestry State Agency (
<ext-link ext-link-type="uri" xlink:href="http://www.forst.brandenburg.de">www.forst.brandenburg.de</ext-link>
), the Northwest German Forest Research Station (
<ext-link ext-link-type="uri" xlink:href="http://www.nw-fva.de">http://www.nw-fva.de</ext-link>
), the Lower Saxony State Office for Consumer Protection and Food Safety (
<ext-link ext-link-type="uri" xlink:href="http://www.laves.niedersachsen.de">http://www.laves.niedersachsen.de</ext-link>
), the State Forest Mecklenburg-Western Pomerania (
<ext-link ext-link-type="uri" xlink:href="http://www.wald-mv.de">http://www.wald-mv.de</ext-link>
), the Forest Administration North Rhine-Westphalia (
<ext-link ext-link-type="uri" xlink:href="http://www.wald-und-holz.nrw.de">www.wald-und-holz.nrw.de</ext-link>
), the National Forests Rhineland-Palatinate (
<ext-link ext-link-type="uri" xlink:href="http://www.wald-rlp.de">http://www.wald-rlp.de</ext-link>
), the Public Enterprise Sachsenforst (
<ext-link ext-link-type="uri" xlink:href="http://www.smul.sachsen.de">http://www.smul.sachsen.de</ext-link>
), and ThüringenForst (
<ext-link ext-link-type="uri" xlink:href="http://www.thueringenforst.de">http://www.thueringenforst.de</ext-link>
).</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All raw data used in the manuscript were provided without charge by the agencies listed: Human Puumala virus infection data are available from SurvStat@RKI 2.0 (
<ext-link ext-link-type="uri" xlink:href="https://survstat.rki.de/">https://survstat.rki.de/</ext-link>
). Beech fructification and bank vole abundance data were provided by the Bavarian State Institute of Forestry (
<ext-link ext-link-type="uri" xlink:href="http://www.lwf.bayern.de">www.lwf.bayern.de</ext-link>
), the Forest Research Institute of Baden-Württemberg (
<ext-link ext-link-type="uri" xlink:href="http://www.fva-bw.de">www.fva-bw.de</ext-link>
,
<ext-link ext-link-type="uri" xlink:href="http://www.stefanmeining.de">www.stefanmeining.de</ext-link>
), the Brandenburg Forestry State Agency (
<ext-link ext-link-type="uri" xlink:href="http://www.forst.brandenburg.de">www.forst.brandenburg.de</ext-link>
), the Northwest German Forest Research Station (
<ext-link ext-link-type="uri" xlink:href="http://www.nw-fva.de">http://www.nw-fva.de</ext-link>
), the Lower Saxony State Office for Consumer Protection and Food Safety (
<ext-link ext-link-type="uri" xlink:href="http://www.laves.niedersachsen.de">http://www.laves.niedersachsen.de</ext-link>
), the State Forest Mecklenburg-Western Pomerania (
<ext-link ext-link-type="uri" xlink:href="http://www.wald-mv.de">http://www.wald-mv.de</ext-link>
), the Forest Administration North Rhine-Westphalia (
<ext-link ext-link-type="uri" xlink:href="http://www.wald-und-holz.nrw.de">www.wald-und-holz.nrw.de</ext-link>
), the National Forests Rhineland-Palatinate (
<ext-link ext-link-type="uri" xlink:href="http://www.wald-rlp.de">http://www.wald-rlp.de</ext-link>
), the Public Enterprise Sachsenforst (
<ext-link ext-link-type="uri" xlink:href="http://www.smul.sachsen.de">http://www.smul.sachsen.de</ext-link>
), and ThüringenForst (
<ext-link ext-link-type="uri" xlink:href="http://www.thueringenforst.de">http://www.thueringenforst.de</ext-link>
).</p>
</notes>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Allemagne</li>
</country>
<region>
<li>Brandebourg</li>
</region>
<settlement>
<li>Potsdam</li>
</settlement>
<orgName>
<li>Université de Potsdam</li>
</orgName>
</list>
<tree>
<country name="Allemagne">
<noRegion>
<name sortKey="Reil, Daniela" sort="Reil, Daniela" uniqKey="Reil D" first="Daniela" last="Reil">Daniela Reil</name>
</noRegion>
<name sortKey="Eccard, Jana Anja" sort="Eccard, Jana Anja" uniqKey="Eccard J" first="Jana Anja" last="Eccard">Jana Anja Eccard</name>
<name sortKey="Imholt, Christian" sort="Imholt, Christian" uniqKey="Imholt C" first="Christian" last="Imholt">Christian Imholt</name>
<name sortKey="Jacob, Jens" sort="Jacob, Jens" uniqKey="Jacob J" first="Jens" last="Jacob">Jens Jacob</name>
<name sortKey="Reil, Daniela" sort="Reil, Daniela" uniqKey="Reil D" first="Daniela" last="Reil">Daniela Reil</name>
</country>
</tree>
</affiliations>
</record>

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