Genetic structure of the poplar rust fungus Melampsora larici-populina: evidence for isolation by distance in Europe and recent founder effects overseas.
Identifieur interne : 003912 ( Main/Exploration ); précédent : 003911; suivant : 003913Genetic structure of the poplar rust fungus Melampsora larici-populina: evidence for isolation by distance in Europe and recent founder effects overseas.
Auteurs : Benoît Barrès [France] ; Fabien Halkett ; Cyril Dutech ; Axelle Andrieux ; Jean Pinon ; Pascal FreySource :
- Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases [ 1567-1348 ] ; 2008.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Basidiomycota, Virulence.
- microbiologie : Maladies des plantes, Populus.
- pathogénicité : Basidiomycota.
- Analyse de régression, Effet fondateur, Europe, Géographie, Variation génétique.
English descriptors
- KwdEn :
- MESH :
- geographic : Europe.
- genetics : Basidiomycota, Virulence.
- microbiology : Plant Diseases, Populus.
- pathogenicity : Basidiomycota.
- Founder Effect, Genetic Variation, Geography, Regression Analysis.
Abstract
Dispersal has a great impact on the genetic structure of populations, but remains difficult to estimate by direct measures. In particular, gradual and stochastic dispersal are often difficult to assess and to distinguish, although they have different evolutionary consequences. Plant pathogens, especially rust fungi, are suspected to display both dispersal modes, though on different spatial scales. In this study, we inferred dispersal capacities of the poplar rust fungus Melampsora larici-populina by examining the genetic diversity and structure of 13 populations from eight European and two overseas countries in the Northern hemisphere. M. larici-populina was sampled from both cultivated hybrid poplars and on the wild host, Populus nigra. The populations were analyzed with 11 microsatellite and 8 virulence markers. Although isolates displayed different virulence profiles according to the host plant, neutral markers revealed little population differentiation with respect to the type of host. This suggests an absence of reproductive isolation between populations sampled from cultivated and wild poplars. Conversely, studying the relationship between geographic and genetic structure allowed us to distinguish between isolation by distance (IBD) patterns and long distance dispersal (LDD) events. The European populations exhibited a significant IBD pattern, suggesting a regular and gradual dispersal of the pathogen over this spatial scale. Nonetheless, the genetic differentiation between these populations was low, suggesting an important gene flow on a continental scale. The two overseas populations from Iceland and Canada were shown to result from rare LDD events, and exhibited signatures of strong founder effects. Furthermore, the high genetic differentiation between both populations suggested that these two recent introductions were independent. This study illustrated how the proper use of population genetics methods can enable contrasted dispersal modes to be revealed.
DOI: 10.1016/j.meegid.2008.04.005
PubMed: 18499532
Affiliations:
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(génétique)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Europe</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Basidiomycota</term><term>Virulence</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Basidiomycota</term><term>Virulence</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Basidiomycota</term></keywords><keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Basidiomycota</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Founder Effect</term><term>Genetic Variation</term><term>Geography</term><term>Regression Analysis</term></keywords><keywords scheme="MESH" 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In particular, gradual and stochastic dispersal are often difficult to assess and to distinguish, although they have different evolutionary consequences. Plant pathogens, especially rust fungi, are suspected to display both dispersal modes, though on different spatial scales. In this study, we inferred dispersal capacities of the poplar rust fungus Melampsora larici-populina by examining the genetic diversity and structure of 13 populations from eight European and two overseas countries in the Northern hemisphere. M. larici-populina was sampled from both cultivated hybrid poplars and on the wild host, Populus nigra. The populations were analyzed with 11 microsatellite and 8 virulence markers. Although isolates displayed different virulence profiles according to the host plant, neutral markers revealed little population differentiation with respect to the type of host. This suggests an absence of reproductive isolation between populations sampled from cultivated and wild poplars. Conversely, studying the relationship between geographic and genetic structure allowed us to distinguish between isolation by distance (IBD) patterns and long distance dispersal (LDD) events. The European populations exhibited a significant IBD pattern, suggesting a regular and gradual dispersal of the pathogen over this spatial scale. Nonetheless, the genetic differentiation between these populations was low, suggesting an important gene flow on a continental scale. The two overseas populations from Iceland and Canada were shown to result from rare LDD events, and exhibited signatures of strong founder effects. Furthermore, the high genetic differentiation between both populations suggested that these two recent introductions were independent. 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In particular, gradual and stochastic dispersal are often difficult to assess and to distinguish, although they have different evolutionary consequences. Plant pathogens, especially rust fungi, are suspected to display both dispersal modes, though on different spatial scales. In this study, we inferred dispersal capacities of the poplar rust fungus Melampsora larici-populina by examining the genetic diversity and structure of 13 populations from eight European and two overseas countries in the Northern hemisphere. M. larici-populina was sampled from both cultivated hybrid poplars and on the wild host, Populus nigra. The populations were analyzed with 11 microsatellite and 8 virulence markers. Although isolates displayed different virulence profiles according to the host plant, neutral markers revealed little population differentiation with respect to the type of host. This suggests an absence of reproductive isolation between populations sampled from cultivated and wild poplars. Conversely, studying the relationship between geographic and genetic structure allowed us to distinguish between isolation by distance (IBD) patterns and long distance dispersal (LDD) events. The European populations exhibited a significant IBD pattern, suggesting a regular and gradual dispersal of the pathogen over this spatial scale. Nonetheless, the genetic differentiation between these populations was low, suggesting an important gene flow on a continental scale. The two overseas populations from Iceland and Canada were shown to result from rare LDD events, and exhibited signatures of strong founder effects. Furthermore, the high genetic differentiation between both populations suggested that these two recent introductions were independent. This study illustrated how the proper use of population genetics methods can enable contrasted dispersal modes to be revealed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Barrès</LastName><ForeName>Benoît</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>INRA, Nancy-Université, UMR1136, Interactions Arbres-Microorganismes, IFR 110, F-54280 Champenoux, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Halkett</LastName><ForeName>Fabien</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Dutech</LastName><ForeName>Cyril</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Andrieux</LastName><ForeName>Axelle</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Pinon</LastName><ForeName>Jean</ForeName><Initials>J</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>2008</Year><Month>04</Month><Day>20</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Infect Genet Evol</MedlineTA><NlmUniqueID>101084138</NlmUniqueID><ISSNLinking>1567-1348</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="D005060" MajorTopicYN="N" Type="Geographic">Europe</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018703" MajorTopicYN="Y">Founder Effect</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014644" MajorTopicYN="N">Genetic Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005843" MajorTopicYN="Y">Geography</DescriptorName></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="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014774" MajorTopicYN="N">Virulence</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2007</Year><Month>10</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2008</Year><Month>04</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2008</Year><Month>04</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2008</Year><Month>5</Month><Day>24</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2008</Year><Month>11</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2008</Year><Month>5</Month><Day>24</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">18499532</ArticleId><ArticleId IdType="pii">S1567-1348(08)00072-5</ArticleId><ArticleId IdType="doi">10.1016/j.meegid.2008.04.005</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>Nancy-Université</li></orgName></list><tree><noCountry><name sortKey="Andrieux, Axelle" sort="Andrieux, Axelle" uniqKey="Andrieux A" first="Axelle" last="Andrieux">Axelle Andrieux</name><name sortKey="Dutech, Cyril" sort="Dutech, Cyril" uniqKey="Dutech C" first="Cyril" last="Dutech">Cyril Dutech</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><name sortKey="Pinon, Jean" sort="Pinon, Jean" uniqKey="Pinon J" first="Jean" last="Pinon">Jean Pinon</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Barres, Benoit" sort="Barres, Benoit" uniqKey="Barres B" first="Benoît" last="Barrès">Benoît Barrès</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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