Specialization for resistance in wild host-pathogen interaction networks.
Identifieur interne : 000059 ( Main/Exploration ); précédent : 000058; suivant : 000060Specialization for resistance in wild host-pathogen interaction networks.
Auteurs : Luke G. Barrett [Australie] ; Francisco Encinas-Viso [Australie] ; Jeremy J. Burdon [Australie] ; Peter H. Thrall [Australie]Source :
- Frontiers in plant science [ 1664-462X ] ; 2015.
Abstract
Properties encompassed by host-pathogen interaction networks have potential to give valuable insight into the evolution of specialization and coevolutionary dynamics in host-pathogen interactions. However, network approaches have been rarely utilized in previous studies of host and pathogen phenotypic variation. Here we applied quantitative analyses to eight networks derived from spatially and temporally segregated host (Linum marginale) and pathogen (Melampsora lini) populations. First, we found that resistance strategies are highly variable within and among networks, corresponding to a spectrum of specialist and generalist resistance types being maintained within all networks. At the individual level, specialization was strongly linked to partial resistance, such that partial resistance was effective against a greater number of pathogens compared to full resistance. Second, we found that all networks were significantly nested. There was little support for the hypothesis that temporal evolutionary dynamics may lead to the development of nestedness in host-pathogen infection networks. Rather, the common patterns observed in terms of nestedness suggests a universal driver (or multiple drivers) that may be independent of spatial and temporal structure. Third, we found that resistance networks were significantly modular in two spatial networks, clearly reflecting spatial and ecological structure within one of the networks. We conclude that (1) overall patterns of specialization in the networks we studied mirror evolutionary trade-offs with the strength of resistance; (2) that specific network architecture can emerge under different evolutionary scenarios; and (3) network approaches offer great utility as a tool for probing the evolutionary and ecological genetics of host-pathogen interactions.
DOI: 10.3389/fpls.2015.00761
PubMed: 26442074
PubMed Central: PMC4585140
Affiliations:
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Barrett</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT</wicri:regionArea><wicri:noRegion>ACT</wicri:noRegion></affiliation></author><author><name sortKey="Encinas Viso, Francisco" sort="Encinas Viso, Francisco" uniqKey="Encinas Viso F" first="Francisco" last="Encinas-Viso">Francisco Encinas-Viso</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Australian National Biodiversity Research, Commonwealth Scientific and Industrial Research Organization Canberra, ACT, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Centre for Australian National Biodiversity Research, Commonwealth Scientific and Industrial Research Organization Canberra, ACT</wicri:regionArea><wicri:noRegion>ACT</wicri:noRegion></affiliation></author><author><name sortKey="Burdon, Jeremy J" sort="Burdon, Jeremy J" uniqKey="Burdon J" first="Jeremy J" last="Burdon">Jeremy J. 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Barrett</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT</wicri:regionArea><wicri:noRegion>ACT</wicri:noRegion></affiliation></author><author><name sortKey="Encinas Viso, Francisco" sort="Encinas Viso, Francisco" uniqKey="Encinas Viso F" first="Francisco" last="Encinas-Viso">Francisco Encinas-Viso</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Australian National Biodiversity Research, Commonwealth Scientific and Industrial Research Organization Canberra, ACT, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Centre for Australian National Biodiversity Research, Commonwealth Scientific and Industrial Research Organization Canberra, ACT</wicri:regionArea><wicri:noRegion>ACT</wicri:noRegion></affiliation></author><author><name sortKey="Burdon, Jeremy J" sort="Burdon, Jeremy J" uniqKey="Burdon J" first="Jeremy J" last="Burdon">Jeremy J. Burdon</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT</wicri:regionArea><wicri:noRegion>ACT</wicri:noRegion></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:affiliation>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT</wicri:regionArea><wicri:noRegion>ACT</wicri:noRegion></affiliation></author></analytic><series><title level="j">Frontiers in plant science</title><idno type="ISSN">1664-462X</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Properties encompassed by host-pathogen interaction networks have potential to give valuable insight into the evolution of specialization and coevolutionary dynamics in host-pathogen interactions. However, network approaches have been rarely utilized in previous studies of host and pathogen phenotypic variation. Here we applied quantitative analyses to eight networks derived from spatially and temporally segregated host (Linum marginale) and pathogen (Melampsora lini) populations. First, we found that resistance strategies are highly variable within and among networks, corresponding to a spectrum of specialist and generalist resistance types being maintained within all networks. At the individual level, specialization was strongly linked to partial resistance, such that partial resistance was effective against a greater number of pathogens compared to full resistance. Second, we found that all networks were significantly nested. There was little support for the hypothesis that temporal evolutionary dynamics may lead to the development of nestedness in host-pathogen infection networks. Rather, the common patterns observed in terms of nestedness suggests a universal driver (or multiple drivers) that may be independent of spatial and temporal structure. Third, we found that resistance networks were significantly modular in two spatial networks, clearly reflecting spatial and ecological structure within one of the networks. We conclude that (1) overall patterns of specialization in the networks we studied mirror evolutionary trade-offs with the strength of resistance; (2) that specific network architecture can emerge under different evolutionary scenarios; and (3) network approaches offer great utility as a tool for probing the evolutionary and ecological genetics of host-pathogen interactions. </div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">26442074</PMID><DateCompleted><Year>2015</Year><Month>10</Month><Day>07</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>6</Volume><PubDate><Year>2015</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Specialization for resistance in wild host-pathogen interaction networks.</ArticleTitle><Pagination><MedlinePgn>761</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2015.00761</ELocationID><Abstract><AbstractText>Properties encompassed by host-pathogen interaction networks have potential to give valuable insight into the evolution of specialization and coevolutionary dynamics in host-pathogen interactions. However, network approaches have been rarely utilized in previous studies of host and pathogen phenotypic variation. Here we applied quantitative analyses to eight networks derived from spatially and temporally segregated host (Linum marginale) and pathogen (Melampsora lini) populations. First, we found that resistance strategies are highly variable within and among networks, corresponding to a spectrum of specialist and generalist resistance types being maintained within all networks. At the individual level, specialization was strongly linked to partial resistance, such that partial resistance was effective against a greater number of pathogens compared to full resistance. Second, we found that all networks were significantly nested. There was little support for the hypothesis that temporal evolutionary dynamics may lead to the development of nestedness in host-pathogen infection networks. Rather, the common patterns observed in terms of nestedness suggests a universal driver (or multiple drivers) that may be independent of spatial and temporal structure. Third, we found that resistance networks were significantly modular in two spatial networks, clearly reflecting spatial and ecological structure within one of the networks. We conclude that (1) overall patterns of specialization in the networks we studied mirror evolutionary trade-offs with the strength of resistance; (2) that specific network architecture can emerge under different evolutionary scenarios; and (3) network approaches offer great utility as a tool for probing the evolutionary and ecological genetics of host-pathogen interactions. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Barrett</LastName><ForeName>Luke G</ForeName><Initials>LG</Initials><AffiliationInfo><Affiliation>Commonwealth Scientific and Industrial Research Organization Agriculture Flagship Canberra, ACT, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Encinas-Viso</LastName><ForeName>Francisco</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Centre for Australian National Biodiversity Research, Commonwealth Scientific and Industrial Research Organization Canberra, ACT, 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sortKey="Barrett, Luke G" sort="Barrett, Luke G" uniqKey="Barrett L" first="Luke G" last="Barrett">Luke G. Barrett</name></noRegion><name sortKey="Burdon, Jeremy J" sort="Burdon, Jeremy J" uniqKey="Burdon J" first="Jeremy J" last="Burdon">Jeremy J. Burdon</name><name sortKey="Encinas Viso, Francisco" sort="Encinas Viso, Francisco" uniqKey="Encinas Viso F" first="Francisco" last="Encinas-Viso">Francisco Encinas-Viso</name><name sortKey="Thrall, Peter H" sort="Thrall, Peter H" uniqKey="Thrall P" first="Peter H" last="Thrall">Peter H. Thrall</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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