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Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana.
Castilla, Antonio R; Méndez-Vigo, Belén; Marcer, Arnald; Martínez-Minaya, Joaquín; Conesa, David; Picó, F Xavier; Alonso-Blanco, Carlos.
Afiliação
  • Castilla AR; Centre for Applied Ecology "Prof. Baeta Neves", InBIO, School of Agriculture, University of Lisbon, Lisbon, Portugal.
  • Méndez-Vigo B; Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain.
  • Marcer A; Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
  • Martínez-Minaya J; CREAF, Centre de Recerca Ecològica i Aplicacions Forestals, Bellaterra, E08193, Cerdanyola de Vallès, Catalonia, Spain.
  • Conesa D; Universitat Autònoma de Barcelona, Bellaterra, E08193, Cerdanyola de Vallès, Catalonia, Spain.
  • Picó FX; BCAM - Basque Center for Applied Mathematics, Bilbao, Spain.
  • Alonso-Blanco C; Departament d'Estadística i Investigació Operativa, Universitat de València, Valencia, Spain.
BMC Evol Biol ; 20(1): 71, 2020 06 22.
Article em En | MEDLINE | ID: mdl-32571210
BACKGROUND: Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, is an important asset for the ability of populations to adapt and persist in changing environments. We tested three major hypotheses accounting for genetic differentiation-isolation-by-distance (IBD), isolation-by-environment (IBE) and isolation-by-resistance (IBR)-in the annual plant Arabidopsis thaliana across the Iberian Peninsula, the region with the largest genomic diversity. To that end, we sampled, genotyped with genome-wide SNPs, and analyzed 1772 individuals from 278 populations distributed across the Iberian Peninsula. RESULTS: IBD, and to a lesser extent IBE, were the most important drivers of genetic differentiation in A. thaliana. In other words, dispersal limitation, genetic drift, and to a lesser extent local adaptation to environmental gradients, accounted for the within- and among-population distribution of genetic diversity. Analyses applied to the four Iberian genetic clusters, which represent the joint outcome of the long demographic and adaptive history of the species in the region, showed similar results except for one cluster, in which IBR (a function of landscape heterogeneity) was the most important driver of genetic differentiation. Using spatial hierarchical Bayesian models, we found that precipitation seasonality and topsoil pH chiefly accounted for the geographic distribution of genetic diversity in Iberian A. thaliana. CONCLUSIONS: Overall, the interplay between the influence of precipitation seasonality on genetic diversity and the effect of restricted dispersal and genetic drift on genetic differentiation emerges as the major forces underlying the evolutionary trajectory of Iberian A. thaliana.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Arabidopsis / Evolução Molecular / Meio Ambiente Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Evol Biol Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Arabidopsis / Evolução Molecular / Meio Ambiente Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Evol Biol Ano de publicação: 2020 Tipo de documento: Article