Trophic network structure emerges through antagonistic coevolution in temporally varying environments
Identifieur interne : 006004 ( Main/Exploration ); précédent : 006003; suivant : 006005Trophic network structure emerges through antagonistic coevolution in temporally varying environments
Auteurs : Timothée Poisot [France] ; Peter H. Thrall [Australie] ; Michael E. Hochberg [France]Source :
- Proceedings of the Royal Society B: Biological Sciences [ 0962-8452 ] ; 2011.
Abstract
Understanding the mechanisms underlying ecological specialization is central to our understanding of community ecology and evolution. Although theoretical work has investigated how variable environments may affect specialization in single species, little is known about how such variation impacts bipartite network structure in antagonistically coevolving systems. Here, we develop and analyse a general model of victim–enemy coevolution that explicitly includes resource and population dynamics. We investigate how temporal environmental heterogeneity affects the evolution of specialization and associated community structure. Environmental productivity influences victim investment in resistance, which will shape patterns of specialization through its regulating effect on enemy investment in infectivity. We also investigate the epidemiological consequences of environmental variability and show that enemy population density is maximized for intermediate lengths of productive seasons, which corresponds to situations where enemies can evolve higher infectivity than victims can evolve defence. We discuss our results in the light of empirical studies, and further highlight ways in which our model applies to a range of natural systems.
Url:
DOI: 10.1098/rspb.2011.0826
PubMed: 21653583
PubMed Central: 3223677
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 001B10
- to stream Pmc, to step Curation: 001968
- to stream Pmc, to step Checkpoint: 002129
- to stream Ncbi, to step Merge: 000A84
- to stream Ncbi, to step Curation: 000A84
- to stream Ncbi, to step Checkpoint: 000A84
- to stream Main, to step Merge: 006333
- to stream Main, to step Curation: 006004
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Trophic network structure emerges through antagonistic coevolution in temporally varying environments</title>
<author><name sortKey="Poisot, Timothee" sort="Poisot, Timothee" uniqKey="Poisot T" first="Timothée" last="Poisot">Timothée Poisot</name>
<affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>Institut des Sciences de l'Evolution, UMR 5554</addr-line>
,<institution>Université Montpellier II</institution>
,<addr-line>Place Eugène Bataillon, 34095 Montpellier CEDEX 05</addr-line>
,<country>France</country>
</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Thrall, Peter H" sort="Thrall, Peter H" uniqKey="Thrall P" first="Peter H." last="Thrall">Peter H. Thrall</name>
<affiliation wicri:level="1"><nlm:aff id="af2"><addr-line>CSIRO Plant Industry, GPO Box 1600, Canberra, Australian Capital Territory 2601</addr-line>
,<country>Australia</country>
</nlm:aff>
<country xml:lang="fr">Australie</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Hochberg, Michael E" sort="Hochberg, Michael E" uniqKey="Hochberg M" first="Michael E." last="Hochberg">Michael E. Hochberg</name>
<affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>Institut des Sciences de l'Evolution, UMR 5554</addr-line>
,<institution>Université Montpellier II</institution>
,<addr-line>Place Eugène Bataillon, 34095 Montpellier CEDEX 05</addr-line>
,<country>France</country>
</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">21653583</idno>
<idno type="pmc">3223677</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3223677</idno>
<idno type="RBID">PMC:3223677</idno>
<idno type="doi">10.1098/rspb.2011.0826</idno>
<date when="2011">2011</date>
<idno type="wicri:Area/Pmc/Corpus">001B10</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001B10</idno>
<idno type="wicri:Area/Pmc/Curation">001968</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001968</idno>
<idno type="wicri:Area/Pmc/Checkpoint">002129</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">002129</idno>
<idno type="wicri:Area/Ncbi/Merge">000A84</idno>
<idno type="wicri:Area/Ncbi/Curation">000A84</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000A84</idno>
<idno type="wicri:doubleKey">0962-8452:2011:Poisot T:trophic:network:structure</idno>
<idno type="wicri:Area/Main/Merge">006333</idno>
<idno type="wicri:Area/Main/Curation">006004</idno>
<idno type="wicri:Area/Main/Exploration">006004</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Trophic network structure emerges through antagonistic coevolution in temporally varying environments</title>
<author><name sortKey="Poisot, Timothee" sort="Poisot, Timothee" uniqKey="Poisot T" first="Timothée" last="Poisot">Timothée Poisot</name>
<affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>Institut des Sciences de l'Evolution, UMR 5554</addr-line>
,<institution>Université Montpellier II</institution>
,<addr-line>Place Eugène Bataillon, 34095 Montpellier CEDEX 05</addr-line>
,<country>France</country>
</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Thrall, Peter H" sort="Thrall, Peter H" uniqKey="Thrall P" first="Peter H." last="Thrall">Peter H. Thrall</name>
<affiliation wicri:level="1"><nlm:aff id="af2"><addr-line>CSIRO Plant Industry, GPO Box 1600, Canberra, Australian Capital Territory 2601</addr-line>
,<country>Australia</country>
</nlm:aff>
<country xml:lang="fr">Australie</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Hochberg, Michael E" sort="Hochberg, Michael E" uniqKey="Hochberg M" first="Michael E." last="Hochberg">Michael E. Hochberg</name>
<affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>Institut des Sciences de l'Evolution, UMR 5554</addr-line>
,<institution>Université Montpellier II</institution>
,<addr-line>Place Eugène Bataillon, 34095 Montpellier CEDEX 05</addr-line>
,<country>France</country>
</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series><title level="j">Proceedings of the Royal Society B: Biological Sciences</title>
<idno type="ISSN">0962-8452</idno>
<idno type="eISSN">1471-2954</idno>
<imprint><date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>Understanding the mechanisms underlying ecological specialization is central to our understanding of community ecology and evolution. Although theoretical work has investigated how variable environments may affect specialization in single species, little is known about how such variation impacts bipartite network structure in antagonistically coevolving systems. Here, we develop and analyse a general model of victim–enemy coevolution that explicitly includes resource and population dynamics. We investigate how temporal environmental heterogeneity affects the evolution of specialization and associated community structure. Environmental productivity influences victim investment in resistance, which will shape patterns of specialization through its regulating effect on enemy investment in infectivity. We also investigate the epidemiological consequences of environmental variability and show that enemy population density is maximized for intermediate lengths of productive seasons, which corresponds to situations where enemies can evolve higher infectivity than victims can evolve defence. We discuss our results in the light of empirical studies, and further highlight ways in which our model applies to a range of natural systems.</p>
</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
</list>
<tree><country name="France"><noRegion><name sortKey="Poisot, Timothee" sort="Poisot, Timothee" uniqKey="Poisot T" first="Timothée" last="Poisot">Timothée Poisot</name>
</noRegion>
<name sortKey="Hochberg, Michael E" sort="Hochberg, Michael E" uniqKey="Hochberg M" first="Michael E." last="Hochberg">Michael E. Hochberg</name>
</country>
<country name="Australie"><noRegion><name sortKey="Thrall, Peter H" sort="Thrall, Peter H" uniqKey="Thrall P" first="Peter H." last="Thrall">Peter H. Thrall</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 006004 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 006004 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Asie |area= AustralieFrV1 |flux= Main |étape= Exploration |type= RBID |clé= PMC:3223677 |texte= Trophic network structure emerges through antagonistic coevolution in temporally varying environments }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:21653583" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \ | NlmPubMed2Wicri -a AustralieFrV1
This area was generated with Dilib version V0.6.33. |