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hal.structure.identifierProgram in Evolutionary Functional Genomics
hal.structure.identifierChinese Academy of Sciences [CAS]
dc.contributor.authorLASCOUX, Martin
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorPETIT, Remy
dc.date.accessioned2022-10-12T12:44:38Z
dc.date.available2022-10-12T12:44:38Z
dc.date.issued2010
dc.identifier.issn0962-1083
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/157167
dc.description.abstractEnPlant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.
dc.language.isoen
dc.publisherWiley
dc.subjectLAMARC
dc.subjectPOPULUS
dc.subjectSTRUCTURE
dc.subjectGENETIQUE DES POPULATIONS
dc.subject.enFOREST TREE
dc.subject.enINSTRUCT
dc.subject.enSAMPLING STRATEGY
dc.subject.enSNP
dc.title.enThe 'New Wave' in plant demographic inference: more loci and more individuals
dc.typeArticle de revue
dc.identifier.doi10.1111/j.1365-294X.2010.04547.x
dc.subject.halSciences du Vivant [q-bio]/Biochimie, Biologie Moléculaire
bordeaux.journalMolecular Ecology
bordeaux.page1075-1078
bordeaux.volume19
bordeaux.hal.laboratoriesBioGeCo (Biodiversité Gènes & Communautés) - UMR 1202*
bordeaux.issue6
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02664679
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02664679v1
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