Assessing the effects of quantitative host resistance on the life-history traits of sporulating parasites with growing lesions.
Identifieur interne : 000579 ( Main/Exploration ); précédent : 000578; suivant : 000580Assessing the effects of quantitative host resistance on the life-history traits of sporulating parasites with growing lesions.
Auteurs : Melen Leclerc [France] ; Julie A J. Clément [France] ; Didier Andrivon [France] ; Frédéric M. Hamelin [France]Source :
- Proceedings. Biological sciences [ 1471-2954 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
- microbiologie : Maladies des plantes, Solanum tuberosum.
- physiologie : Phytophthora infestans, Solanum tuberosum.
- Caractéristiques du cycle biologique, Interactions hôte-pathogène, Modèles biologiques.
English descriptors
- KwdEn :
- MESH :
- microbiology : Plant Diseases, Solanum tuberosum.
- physiology : Phytophthora infestans, Solanum tuberosum.
- Host-Pathogen Interactions, Life History Traits, Models, Biological.
Abstract
Assessing life-history traits of parasites on resistant hosts is crucial in evolutionary ecology. In the particular case of sporulating pathogens with growing lesions, phenotyping is difficult because one needs to disentangle properly pathogen spread from sporulation. By considering Phytophthora infestans on potato, we use mathematical modelling to tackle this issue and refine the assessment of pathogen response to quantitative host resistance. We elaborate a parsimonious leaf-scale model by convolving a lesion growth model and a sporulation function, after a latency period. This model is fitted to data obtained on two isolates inoculated on three cultivars with contrasted resistance level. Our results confirm a significant host-pathogen interaction on the various estimated traits, and a reduction of both pathogen spread and spore production, induced by host resistance. Most interestingly, we highlight that quantitative resistance also changes the sporulation function, the mode of which is significantly time-lagged. This alteration of the infectious period distribution on resistant hosts may have strong impacts on the dynamics of parasite populations, and should be considered when assessing the durability of disease control tactics based on plant resistance management. This inter-disciplinary work also supports the relevance of mechanistic models for analysing phenotypic data of plant-pathogen interactions.
DOI: 10.1098/rspb.2019.1244
PubMed: 31575367
PubMed Central: PMC6790771
Affiliations:
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Clément</name><affiliation wicri:level="1"><nlm:affiliation>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu</wicri:regionArea><wicri:noRegion>Le Rheu</wicri:noRegion><wicri:noRegion>Le Rheu</wicri:noRegion></affiliation></author><author><name sortKey="Andrivon, Didier" sort="Andrivon, Didier" uniqKey="Andrivon D" first="Didier" last="Andrivon">Didier Andrivon</name><affiliation wicri:level="1"><nlm:affiliation>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu</wicri:regionArea><wicri:noRegion>Le Rheu</wicri:noRegion><wicri:noRegion>Le Rheu</wicri:noRegion></affiliation></author><author><name sortKey="Hamelin, Frederic M" sort="Hamelin, Frederic M" uniqKey="Hamelin F" first="Frédéric M" last="Hamelin">Frédéric M. Hamelin</name><affiliation wicri:level="1"><nlm:affiliation>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu</wicri:regionArea><wicri:noRegion>Le Rheu</wicri:noRegion><wicri:noRegion>Le Rheu</wicri:noRegion></affiliation></author></analytic><series><title level="j">Proceedings. 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In the particular case of sporulating pathogens with growing lesions, phenotyping is difficult because one needs to disentangle properly pathogen spread from sporulation. By considering <i>Phytophthora infestans</i> on potato, we use mathematical modelling to tackle this issue and refine the assessment of pathogen response to quantitative host resistance. We elaborate a parsimonious leaf-scale model by convolving a lesion growth model and a sporulation function, after a latency period. This model is fitted to data obtained on two isolates inoculated on three cultivars with contrasted resistance level. Our results confirm a significant host-pathogen interaction on the various estimated traits, and a reduction of both pathogen spread and spore production, induced by host resistance. Most interestingly, we highlight that quantitative resistance also changes the sporulation function, the mode of which is significantly time-lagged. This alteration of the infectious period distribution on resistant hosts may have strong impacts on the dynamics of parasite populations, and should be considered when assessing the durability of disease control tactics based on plant resistance management. This inter-disciplinary work also supports the relevance of mechanistic models for analysing phenotypic data of plant-pathogen interactions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31575367</PMID><DateCompleted><Year>2020</Year><Month>04</Month><Day>22</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>09</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1471-2954</ISSN><JournalIssue CitedMedium="Internet"><Volume>286</Volume><Issue>1912</Issue><PubDate><Year>2019</Year><Month>10</Month><Day>09</Day></PubDate></JournalIssue><Title>Proceedings. Biological sciences</Title><ISOAbbreviation>Proc Biol Sci</ISOAbbreviation></Journal><ArticleTitle>Assessing the effects of quantitative host resistance on the life-history traits of sporulating parasites with growing lesions.</ArticleTitle><Pagination><MedlinePgn>20191244</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1098/rspb.2019.1244</ELocationID><Abstract><AbstractText>Assessing life-history traits of parasites on resistant hosts is crucial in evolutionary ecology. In the particular case of sporulating pathogens with growing lesions, phenotyping is difficult because one needs to disentangle properly pathogen spread from sporulation. By considering <i>Phytophthora infestans</i> on potato, we use mathematical modelling to tackle this issue and refine the assessment of pathogen response to quantitative host resistance. We elaborate a parsimonious leaf-scale model by convolving a lesion growth model and a sporulation function, after a latency period. This model is fitted to data obtained on two isolates inoculated on three cultivars with contrasted resistance level. Our results confirm a significant host-pathogen interaction on the various estimated traits, and a reduction of both pathogen spread and spore production, induced by host resistance. Most interestingly, we highlight that quantitative resistance also changes the sporulation function, the mode of which is significantly time-lagged. This alteration of the infectious period distribution on resistant hosts may have strong impacts on the dynamics of parasite populations, and should be considered when assessing the durability of disease control tactics based on plant resistance management. This inter-disciplinary work also supports the relevance of mechanistic models for analysing phenotypic data of plant-pathogen interactions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Leclerc</LastName><ForeName>Melen</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Clément</LastName><ForeName>Julie A J</ForeName><Initials>JAJ</Initials><AffiliationInfo><Affiliation>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Andrivon</LastName><ForeName>Didier</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>IGEPP, INRA, Agrocampus Ouest, Université Rennes 1, Le Rheu, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hamelin</LastName><ForeName>Frédéric 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Clément</name><name sortKey="Hamelin, Frederic M" sort="Hamelin, Frederic M" uniqKey="Hamelin F" first="Frédéric M" last="Hamelin">Frédéric M. Hamelin</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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