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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Spatial pattern for resistance to a pathogen. Theoretical
approach and empirical approach at the phenotypic and molecular levels</title><author><name sortKey="Neema, Claire" sort="Neema, Claire" uniqKey="Neema C" first="Claire" last="Neema">Claire Neema</name><affiliation><nlm:aff id="Aff11"><institution-wrap><institution-id institution-id-type="GRID">grid.417885.7</institution-id><institution-id institution-id-type="ISNI">0000 0001 2185 8223</institution-id><institution>Laboratoire de pathologie végétale,</institution><institution>INAPG,</institution></institution-wrap>16 rue Claude Bernard, 75231 Paris Cedex 05, France</nlm:aff></affiliation></author><author><name sortKey="Lavigne, Claire" sort="Lavigne, Claire" uniqKey="Lavigne C" first="Claire" last="Lavigne">Claire Lavigne</name><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="De Meaux, Juliette" sort="De Meaux, Juliette" uniqKey="De Meaux J" first="Juliette" last="De Meaux">Juliette De Meaux</name><affiliation><nlm:aff id="Aff11"><institution-wrap><institution-id institution-id-type="GRID">grid.417885.7</institution-id><institution-id institution-id-type="ISNI">0000 0001 2185 8223</institution-id><institution>Laboratoire de pathologie végétale,</institution><institution>INAPG,</institution></institution-wrap>16 rue Claude Bernard, 75231 Paris Cedex 05, France</nlm:aff></affiliation><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Cattan Toupance, Isabelle" sort="Cattan Toupance, Isabelle" uniqKey="Cattan Toupance I" first="Isabelle" last="Cattan-Toupance">Isabelle Cattan-Toupance</name><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Franco De Oliveira, Julio" sort="Franco De Oliveira, Julio" uniqKey="Franco De Oliveira J" first="Julio" last="Franco De Oliveira">Julio Franco De Oliveira</name><affiliation><nlm:aff id="Aff31"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire d’Écologie, Systématique et Évolution, Bât. 362, UPRES-A 8079,</institution><institution>Université Paris XI,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Deville, Alexandra" sort="Deville, Alexandra" uniqKey="Deville A" first="Alexandra" last="Deville">Alexandra Deville</name><affiliation><nlm:aff id="Aff31"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire d’Écologie, Systématique et Évolution, Bât. 362, UPRES-A 8079,</institution><institution>Université Paris XI,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Langin, Thierry" sort="Langin, Thierry" uniqKey="Langin T" first="Thierry" last="Langin">Thierry Langin</name><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">6781537</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781537</idno><idno type="RBID">PMC:6781537</idno><idno type="doi">10.1186/BF03500870</idno><idno type="pmid">NONE</idno><date when="2001">2001</date><idno type="wicri:Area/Pmc/Corpus">000105</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000105</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Spatial pattern for resistance to a pathogen. Theoretical
approach and empirical approach at the phenotypic and molecular levels</title><author><name sortKey="Neema, Claire" sort="Neema, Claire" uniqKey="Neema C" first="Claire" last="Neema">Claire Neema</name><affiliation><nlm:aff id="Aff11"><institution-wrap><institution-id institution-id-type="GRID">grid.417885.7</institution-id><institution-id institution-id-type="ISNI">0000 0001 2185 8223</institution-id><institution>Laboratoire de pathologie végétale,</institution><institution>INAPG,</institution></institution-wrap>16 rue Claude Bernard, 75231 Paris Cedex 05, France</nlm:aff></affiliation></author><author><name sortKey="Lavigne, Claire" sort="Lavigne, Claire" uniqKey="Lavigne C" first="Claire" last="Lavigne">Claire Lavigne</name><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="De Meaux, Juliette" sort="De Meaux, Juliette" uniqKey="De Meaux J" first="Juliette" last="De Meaux">Juliette De Meaux</name><affiliation><nlm:aff id="Aff11"><institution-wrap><institution-id institution-id-type="GRID">grid.417885.7</institution-id><institution-id institution-id-type="ISNI">0000 0001 2185 8223</institution-id><institution>Laboratoire de pathologie végétale,</institution><institution>INAPG,</institution></institution-wrap>16 rue Claude Bernard, 75231 Paris Cedex 05, France</nlm:aff></affiliation><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Cattan Toupance, Isabelle" sort="Cattan Toupance, Isabelle" uniqKey="Cattan Toupance I" first="Isabelle" last="Cattan-Toupance">Isabelle Cattan-Toupance</name><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Franco De Oliveira, Julio" sort="Franco De Oliveira, Julio" uniqKey="Franco De Oliveira J" first="Julio" last="Franco De Oliveira">Julio Franco De Oliveira</name><affiliation><nlm:aff id="Aff31"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire d’Écologie, Systématique et Évolution, Bât. 362, UPRES-A 8079,</institution><institution>Université Paris XI,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Deville, Alexandra" sort="Deville, Alexandra" uniqKey="Deville A" first="Alexandra" last="Deville">Alexandra Deville</name><affiliation><nlm:aff id="Aff31"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire d’Écologie, Systématique et Évolution, Bât. 362, UPRES-A 8079,</institution><institution>Université Paris XI,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author><author><name sortKey="Langin, Thierry" sort="Langin, Thierry" uniqKey="Langin T" first="Thierry" last="Langin">Thierry Langin</name><affiliation><nlm:aff id="Aff21"><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</nlm:aff></affiliation></author></analytic><series><title level="j">Genetics, Selection, Evolution : GSE</title><idno type="ISSN">0999-193X</idno><idno type="eISSN">1297-9686</idno><imprint><date when="2001">2001</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>A good understanding of the dynamics of host/pathogen interactions and of the
factors that shape the spatial distribution of resistance genes is a prerequisite of
metapopulation dynamic management of resistance genes. We studied the diversity and
spatial structure of natural populations of common bean (<italic>Phaseolus vulgaris</italic>) for resistance to <italic>Colletotrichum lindemuthianum</italic>, the causal agent of anthracnose. This
study was carried out in Mexico and Argentina both at the phenotypic level and at
the molecular level for two families of resistance gene candidates (RGCs). Using a
simulation model, we also investigated the effects of migration and selection on the
spatial structure of resistance phenotypes in a metapopulation for two genetic
determinisms of the interaction (gene-for-gene and matching allele). Our results
showed a differentiation between the countries for all the markers and indicated
that the RGC, polymorphic in both countries, do not behave as neutral markers.
Comparison of the diversities for resistance to strains isolated from wild or
cultivated plants suggested that, although there is local adaptation of <italic>C. lindemuthianum</italic> between the two countries, the
coevolution process seems to occur at a very local scale with the maintenance of
resistances to allopatric strains, a result consistent with simulations of the
models.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Genet Sel Evol</journal-id><journal-id journal-id-type="iso-abbrev">Genet. Sel. Evol</journal-id><journal-title-group><journal-title>Genetics, Selection, Evolution : GSE</journal-title></journal-title-group><issn pub-type="ppub">0999-193X</issn><issn pub-type="epub">1297-9686</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">6781537</article-id><article-id pub-id-type="publisher-id">BF03500870</article-id><article-id pub-id-type="doi">10.1186/BF03500870</article-id><article-categories><subj-group subj-group-type="heading"><subject>Co-Evolution Hosts Pathogens: Characterization and Management of Genetic Diversity of Both Partners</subject></subj-group></article-categories><title-group><article-title>Spatial pattern for resistance to a pathogen. Theoretical
approach and empirical approach at the phenotypic and molecular levels</article-title><trans-title-group><trans-title xml:lang="fr">Étude de la distribution spatiale des résistances à un agent
pathogène, par des approches théorique et expérimentale aux niveaux phénotypique et
moléculaire</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Neema</surname><given-names>Claire</given-names></name><address><email>neema@inapg.inra.fr</email></address><xref ref-type="aff" rid="Aff11">11</xref></contrib><contrib contrib-type="author"><name><surname>Lavigne</surname><given-names>Claire</given-names></name><xref ref-type="aff" rid="Aff21">21</xref></contrib><contrib contrib-type="author"><name><surname>de Meaux</surname><given-names>Juliette</given-names></name><xref ref-type="aff" rid="Aff11">11</xref><xref ref-type="aff" rid="Aff21">21</xref></contrib><contrib contrib-type="author"><name><surname>Cattan-Toupance</surname><given-names>Isabelle</given-names></name><xref ref-type="aff" rid="Aff21">21</xref></contrib><contrib contrib-type="author"><name><surname>Franco de Oliveira</surname><given-names>Julio</given-names></name><xref ref-type="aff" rid="Aff31">31</xref></contrib><contrib contrib-type="author"><name><surname>Deville</surname><given-names>Alexandra</given-names></name><xref ref-type="aff" rid="Aff31">31</xref></contrib><contrib contrib-type="author"><name><surname>Langin</surname><given-names>Thierry</given-names></name><xref ref-type="aff" rid="Aff21">21</xref></contrib><aff id="Aff11"><label>11</label><institution-wrap><institution-id institution-id-type="GRID">grid.417885.7</institution-id><institution-id institution-id-type="ISNI">0000 0001 2185 8223</institution-id><institution>Laboratoire de pathologie végétale,</institution><institution>INAPG,</institution></institution-wrap>16 rue Claude Bernard, 75231 Paris Cedex 05, France</aff><aff id="Aff21"><label>21</label><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire de phytopathologie moléculaire, IBP-Bât 630,</institution><institution>Université Paris 11,</institution></institution-wrap>91405 Orsay, France</aff><aff id="Aff31"><label>31</label><institution-wrap><institution-id institution-id-type="GRID">grid.5842.b</institution-id><institution-id institution-id-type="ISNI">0000 0001 2171 2558</institution-id><institution>Laboratoire d’Écologie, Systématique et Évolution, Bât. 362, UPRES-A 8079,</institution><institution>Université Paris XI,</institution></institution-wrap>91405 Orsay, France</aff></contrib-group><pub-date pub-type="epub"><day>1</day><month>12</month><year>2001</year></pub-date><pub-date pub-type="collection"><year>2001</year></pub-date><volume>33</volume><issue>Suppl 1</issue><fpage>S3</fpage><lpage>S23</lpage><permissions><copyright-statement>© INRA, EDP Sciences 2001</copyright-statement></permissions><abstract id="Abs1"><p>A good understanding of the dynamics of host/pathogen interactions and of the
factors that shape the spatial distribution of resistance genes is a prerequisite of
metapopulation dynamic management of resistance genes. We studied the diversity and
spatial structure of natural populations of common bean (<italic>Phaseolus vulgaris</italic>) for resistance to <italic>Colletotrichum lindemuthianum</italic>, the causal agent of anthracnose. This
study was carried out in Mexico and Argentina both at the phenotypic level and at
the molecular level for two families of resistance gene candidates (RGCs). Using a
simulation model, we also investigated the effects of migration and selection on the
spatial structure of resistance phenotypes in a metapopulation for two genetic
determinisms of the interaction (gene-for-gene and matching allele). Our results
showed a differentiation between the countries for all the markers and indicated
that the RGC, polymorphic in both countries, do not behave as neutral markers.
Comparison of the diversities for resistance to strains isolated from wild or
cultivated plants suggested that, although there is local adaptation of <italic>C. lindemuthianum</italic> between the two countries, the
coevolution process seems to occur at a very local scale with the maintenance of
resistances to allopatric strains, a result consistent with simulations of the
models.</p></abstract><trans-abstract xml:lang="fr" id="Abs2"><title>Résumé</title><p>Un préalable à une gestion dynamique en métapopulation des résistances aux
agents pathogènes est une meilleure connaissance des interactions hôte/pathogène et
des facteurs qui modifient la répartition spatiale des gènes impliqués dans
l’interaction. Nous avons étudié, au Mexique et en Argentine, la diversité et la
structuration de populations naturelles de haricot commun (<italic>Phaseolus vulgaris</italic>) pour la résistance à <italic>Colletotrichum lindemuthianum</italic>, responsable de l’anthracnose. Cette
approche a été menée au niveau phénotypique, au niveau de marqueurs moléculaires
neutres (RAPD) et au niveau de deux familles de gènes candidats pour la résistance
(RGC). Nos résultats indiquent qu’il existe une différenciation pour tous les
marqueurs entre les deux pays et que les RGC, polymorphes dans les deux pays, ne se
comportent pas comme des marqueurs neutres. La comparaison des diversités pour les
résistances à des souches sauvages ou isolées de cultivars suggère que, bien qu’il
existe une adaptation de <italic>C. lindemuthianum</italic> à
l’échelle des deux pays, la coévolution se ferait à une échelle très locale et
maintiendrait des résistances à des souches allopatriques. Par ailleurs, nous avons
simulé sur une métapopulation l’effet de la migration et de la sélection sur la
répartition spatiale des phénotypes de résistance pour deux déterminismes génétiques
de l’interaction (gène pour gène et „matching allele”). Pour les mêmes valeurs de
paramètres, le niveau de com-patibilité locale est moins élevé pour un déterminisme
de type gène pour gène que „matching allele”, l’asymétrie du système gène pour gène
favorisant l’hôte lorsque de nombreux loci sont en jeu. Globalement, le niveau
d’adaptation locale du parasite diminue lorsque la migration de l’hôte augmente. Une
maladaptation locale peut même être observée, en particulier dans un système gène
pour gène, si les pressions de sélection réciproques sont fortes. Dans le détail, le
test d’une population d’agents pathogènes sur l’ensemble des populations hôtes
indique que certaines populations hôtes possèdent des résistances à des populations
pathogènes éloignées, et ce quel que soit le niveau d’adaptation locale. Ce résultat
est cohérent avec ce qui est observé dans les données expérimentales.</p></trans-abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>fungal pathogen</kwd><kwd>model</kwd><kwd>resistance</kwd><kwd>population structure</kwd><kwd>wild populations</kwd><kwd><italic>Collet otrichum lindemuthianum</italic></kwd><kwd><italic>Phaseolus vulgaris</italic></kwd></kwd-group><kwd-group xml:lang="fr"><title>Mots clés</title><kwd>Champignon phytopathogène</kwd><kwd>modèle</kwd><kwd>populations naturelles</kwd><kwd>résistance</kwd><kwd>structure populations</kwd><kwd><italic>Colletotrichum lindemuthianum</italic></kwd><kwd><italic>Phaseolus vulgaris</italic></kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© INRA, EDP Sciences 2001</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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