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The Pattern of Polymorphism in Arabidopsis thaliana

PLoS Biology · 2005 · Vol. 3(7) · pp. e196–e196
Magnus NordborgTina T. HuYoko IshinoJinal JhaveriChristopher ToomajianHonggang ZhengErica BakkerPeter CalabreseJean GladstoneRana GoyalMattias JakobssonSung Hoon KimYu. G. MorozovBadri PadhukasahasramVincent PlagnolNoah A. RosenbergChitiksha ShahJeffrey D. WallJue WangKeyan ZhaoTed KalbfleischVincent SchulzMartin KreitmanJoy Bergelson

Abstract

We resequenced 876 short fragments in a sample of 96 individuals of Arabidopsis thaliana that included stock center accessions as well as a hierarchical sample from natural populations. Although A. thaliana is a selfing weed, the pattern of polymorphism in general agrees with what is expected for a widely distributed, sexually reproducing species. Linkage disequilibrium decays rapidly, within 50 kb. Variation is shared worldwide, although population structure and isolation by distance are evident. The data fail to fit standard neutral models in several ways. There is a genome-wide excess of rare alleles, at least partially due to selection. There is too much variation between genomic regions in the level of polymorphism. The local level of polymorphism is negatively correlated with gene density and positively correlated with segmental duplications. Because the data do not fit theoretical null distributions, attempts to infer natural selection from polymorphism data will require genome-wide surveys of polymorphism in order to identify anomalous regions. Despite this, our data support the utility of A. thaliana as a model for evolutionary functional genomics.

Genetic Mapping and Diversity in Plants and AnimalsGenetic diversity and population structureEvolution and Genetic DynamicsBiologyLinkage disequilibriumGeneticsSelfingGenomeEvolutionary biologyGenomicsNatural selectionPopulationAllele

MeSH terms

Gene FrequencyGenetics, PopulationPolymorphism, GeneticArabidopsisPolymorphism, Single Nucleotide

Funding

  • National Science Foundation
  • Fletcher Jones Foundation
  • National Institutes of Health
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