Disentangling the genetic origins of a plant pathogen during disease spread using an original molecular epidemiology approach.
Identifieur interne : 000061 ( Main/Exploration ); précédent : 000060; suivant : 000062Disentangling the genetic origins of a plant pathogen during disease spread using an original molecular epidemiology approach.
Auteurs : Constance Xhaard [France] ; Benoît Barrès ; Axelle Andrieux ; Lydia Bousset ; Fabien Halkett ; Pascal FreySource :
- Molecular ecology [ 1365-294X ] ; 2012.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Basidiomycota.
- microbiologie : Maladies des plantes, Populus.
- méthodes : Épidémiologie moléculaire.
- pathogénicité : Basidiomycota.
- France, Génotype, Modèles biologiques, Répétitions microsatellites, Théorème de Bayes, Virulence.
- Wicri :
- geographic : France.
English descriptors
- KwdEn :
- MESH :
- geographic : France.
- genetics : Basidiomycota.
- methods : Molecular Epidemiology.
- microbiology : Plant Diseases, Populus.
- pathogenicity : Basidiomycota.
- Bayes Theorem, Genotype, Microsatellite Repeats, Models, Biological, Virulence.
Abstract
The advent of molecular epidemiology has greatly improved our ability to identify the population sources and track the pathogen movement. Yet the wide spatial and temporal scales usually considered are useful only to infer historical migration pathways. In this study, Bayesian genetic assignments and a landscape epidemiology approach were combined to unravel genetic origin and annual spread during a single epidemic of a plant pathogen: the poplar rust fungus Melampsora larici-populina. The study focused on a particular area-the Durance River valley-which enabled inoculum sources to be identified and channelled spread of the epidemic along a one-dimensional corridor. Spatio-temporal monitoring of disease showed that the epidemic began in the upstream part of the valley and spread out downstream. Using genetic assignment tests, individuals collected at the end of the epidemic were sorted into two genetic groups; very few hybrids were detected, although individuals from both groups coexisted locally downstream in the valley. The epidemic originated from two genetically distinct inoculum sources. Individuals of each group then dispersed southwards along the Durance River and became mixed in poplar riparian stands. These two genetic groups were found previously at a wider spatial scale and proved to result from distinct evolutionary histories on either wild or cultivated poplars. This study showed that the two groups can mix during an epidemic but do not hybridize because they then reproduce asexually. In general, the methods employed here could be useful for elucidating the genetic origin and retracing the colonization history and migration pathways of recent epidemics.
DOI: 10.1111/j.1365-294X.2012.05556.x
PubMed: 22490255
Affiliations:
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Yet the wide spatial and temporal scales usually considered are useful only to infer historical migration pathways. In this study, Bayesian genetic assignments and a landscape epidemiology approach were combined to unravel genetic origin and annual spread during a single epidemic of a plant pathogen: the poplar rust fungus Melampsora larici-populina. The study focused on a particular area-the Durance River valley-which enabled inoculum sources to be identified and channelled spread of the epidemic along a one-dimensional corridor. Spatio-temporal monitoring of disease showed that the epidemic began in the upstream part of the valley and spread out downstream. Using genetic assignment tests, individuals collected at the end of the epidemic were sorted into two genetic groups; very few hybrids were detected, although individuals from both groups coexisted locally downstream in the valley. The epidemic originated from two genetically distinct inoculum sources. Individuals of each group then dispersed southwards along the Durance River and became mixed in poplar riparian stands. These two genetic groups were found previously at a wider spatial scale and proved to result from distinct evolutionary histories on either wild or cultivated poplars. This study showed that the two groups can mix during an epidemic but do not hybridize because they then reproduce asexually. In general, the methods employed here could be useful for elucidating the genetic origin and retracing the colonization history and migration pathways of recent epidemics.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22490255</PMID><DateCompleted><Year>2012</Year><Month>09</Month><Day>14</Day></DateCompleted><DateRevised><Year>2012</Year><Month>05</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-294X</ISSN><JournalIssue CitedMedium="Internet"><Volume>21</Volume><Issue>10</Issue><PubDate><Year>2012</Year><Month>May</Month></PubDate></JournalIssue><Title>Molecular ecology</Title><ISOAbbreviation>Mol Ecol</ISOAbbreviation></Journal><ArticleTitle>Disentangling the genetic origins of a plant pathogen during disease spread using an original molecular epidemiology approach.</ArticleTitle><Pagination><MedlinePgn>2383-98</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/j.1365-294X.2012.05556.x</ELocationID><Abstract><AbstractText>The advent of molecular epidemiology has greatly improved our ability to identify the population sources and track the pathogen movement. Yet the wide spatial and temporal scales usually considered are useful only to infer historical migration pathways. In this study, Bayesian genetic assignments and a landscape epidemiology approach were combined to unravel genetic origin and annual spread during a single epidemic of a plant pathogen: the poplar rust fungus Melampsora larici-populina. The study focused on a particular area-the Durance River valley-which enabled inoculum sources to be identified and channelled spread of the epidemic along a one-dimensional corridor. Spatio-temporal monitoring of disease showed that the epidemic began in the upstream part of the valley and spread out downstream. Using genetic assignment tests, individuals collected at the end of the epidemic were sorted into two genetic groups; very few hybrids were detected, although individuals from both groups coexisted locally downstream in the valley. The epidemic originated from two genetically distinct inoculum sources. Individuals of each group then dispersed southwards along the Durance River and became mixed in poplar riparian stands. These two genetic groups were found previously at a wider spatial scale and proved to result from distinct evolutionary histories on either wild or cultivated poplars. This study showed that the two groups can mix during an epidemic but do not hybridize because they then reproduce asexually. In general, the methods employed here could be useful for elucidating the genetic origin and retracing the colonization history and migration pathways of recent epidemics.</AbstractText><CopyrightInformation>© 2012 Blackwell Publishing Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Xhaard</LastName><ForeName>Constance</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>INRA, Université de Lorraine, UMR1136 Interactions Arbres - Microorganismes, F-54280 Champenoux, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Barrès</LastName><ForeName>Benoît</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Andrieux</LastName><ForeName>Axelle</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Bousset</LastName><ForeName>Lydia</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Halkett</LastName><ForeName>Fabien</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Frey</LastName><ForeName>Pascal</ForeName><Initials>P</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>04</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Ecol</MedlineTA><NlmUniqueID>9214478</NlmUniqueID><ISSNLinking>0962-1083</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001487" MajorTopicYN="N">Basidiomycota</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005838" MajorTopicYN="N">Genotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018895" MajorTopicYN="N">Microsatellite Repeats</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="N">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017720" MajorTopicYN="N">Molecular Epidemiology</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014774" MajorTopicYN="N">Virulence</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>4</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>4</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>9</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22490255</ArticleId><ArticleId IdType="doi">10.1111/j.1365-294X.2012.05556.x</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Champenoux</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><noCountry><name sortKey="Andrieux, Axelle" sort="Andrieux, Axelle" uniqKey="Andrieux A" first="Axelle" last="Andrieux">Axelle Andrieux</name><name sortKey="Barres, Benoit" sort="Barres, Benoit" uniqKey="Barres B" first="Benoît" last="Barrès">Benoît Barrès</name><name sortKey="Bousset, Lydia" sort="Bousset, Lydia" uniqKey="Bousset L" first="Lydia" last="Bousset">Lydia Bousset</name><name sortKey="Frey, Pascal" sort="Frey, Pascal" uniqKey="Frey P" first="Pascal" last="Frey">Pascal Frey</name><name sortKey="Halkett, Fabien" sort="Halkett, Fabien" uniqKey="Halkett F" first="Fabien" last="Halkett">Fabien Halkett</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Xhaard, Constance" sort="Xhaard, Constance" uniqKey="Xhaard C" first="Constance" last="Xhaard">Constance Xhaard</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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