251. The Scale of Population Structure in Arabidopsis thaliana
- Author
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Olivier Loudet, Eric B. Holub, Valérie Le Corre, Oliver Bossdorf, Alison E. Anastasio, Matthew W. Horton, Diane L. Byers, Luz Rivero, Joy Bergelson, Andrew Hudson, Jon Ågren, Norman Warthmann, Magnus Nordborg, Fabrice Roux, Megan Dunning, Kathleen Donohue, Yu S. Huang, Yan Li, Justin O. Borevitz, Detlef Weigel, Randy Scholl, Ni Wayan Mulyati, Alexander Platt, Génétique et évolution des populations végétales (GEPV), and Université de Lille, Sciences et Technologies-Centre National de la Recherche Scientifique (CNRS)
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0106 biological sciences ,Cancer Research ,Range (biology) ,Population Dynamics ,Arabidopsis ,Population genetics ,01 natural sciences ,Gene flow ,Inbreeding ,Genetics (clinical) ,Genetics ,0303 health sciences ,education.field_of_study ,Geography ,Ecology/Population Ecology ,combination of genetic ,Research Article ,Heterozygote ,lcsh:QH426-470 ,outcrossing ,Population ,Evolutionary Biology/Evolutionary Ecology ,Biology ,diversity ,Haplotypic ,Evolutionary Biology/Plant Genomes and Evolution ,03 medical and health sciences ,Ecology/Evolutionary Ecology ,Genetics and Genomics/Population Genetics ,heterozygosity ,education ,QH426 ,Molecular Biology ,Alleles ,Crosses, Genetic ,Genetics and Genomics/Plant Genomes and Evolution ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Isolation by distance ,Standard Population ,Genetic diversity ,[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] ,QK ,arabidopsis thaliana ,fungi ,standard population genetic model ,lcsh:Genetics ,Phylogeography ,Haplotypes ,Plant Biology/Plant Genomes and Evolution ,Evolutionary biology ,010606 plant biology & botany - Abstract
The population structure of an organism reflects its evolutionary history and influences its evolutionary trajectory. It constrains the combination of genetic diversity and reveals patterns of past gene flow. Understanding it is a prerequisite for detecting genomic regions under selection, predicting the effect of population disturbances, or modeling gene flow. This paper examines the detailed global population structure of Arabidopsis thaliana. Using a set of 5,707 plants collected from around the globe and genotyped at 149 SNPs, we show that while A. thaliana as a species self-fertilizes 97% of the time, there is considerable variation among local groups. This level of outcrossing greatly limits observed heterozygosity but is sufficient to generate considerable local haplotypic diversity. We also find that in its native Eurasian range A. thaliana exhibits continuous isolation by distance at every geographic scale without natural breaks corresponding to classical notions of populations. By contrast, in North America, where it exists as an exotic species, A. thaliana exhibits little or no population structure at a continental scale but local isolation by distance that extends hundreds of km. This suggests a pattern for the development of isolation by distance that can establish itself shortly after an organism fills a new habitat range. It also raises questions about the general applicability of many standard population genetics models. Any model based on discrete clusters of interchangeable individuals will be an uneasy fit to organisms like A. thaliana which exhibit continuous isolation by distance on many scales., Author Summary Much of the modern field of population genetics is premised on particular models of what an organism's population structure is and how it behaves. The classic models generally start with the idea of a single randomly mating population that has reached an evolutionary equilibrium. Many models relax some of these assumptions, allowing for phenomena such as assortative mating, discrete sub-populations with migration, self-fertilization, and sex-ratio distortion. Virtually all models, however, have as their core premise the notion that there exist classes of exchangeable individuals each of which represents an identical, independent sample from that class' distribution. For certain organisms, such as Drosophila melanogaster, these models do an excellent job of describing how populations work. For other organisms, such as humans, these models can be reasonable approximations but require a great deal of care in assembling samples and can begin to break down as sampling becomes locally dense. For the vast majority of organisms the applicability of these models has never been investigated.
- Published
- 2010
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