Patterns of polymorphism and demographic history in natural populations of Arabidopsis lyrata.
BACKGROUND
Many of the processes affecting genetic diversity act on local populations. However, studies of plant nucleotide diversity have largely ignored local sampling, making it difficult to infer the demographic history of populations and to assess the importance of local adaptation. Arabidopsis lyrata, a self-incompatible, perennial species with a circumpolar distribution, is an excellent model system in which to study the roles of demographic history and local adaptation in patterning genetic variation.


RESULTS
We studied nucleotide diversity in six natural populations of Arabidopsis lyrata, using 77 loci sampled from 140 chromosomes. The six populations were highly differentiated, with a median FST of 0.52, and structure analysis revealed no evidence of admixed individuals. Average within-population diversity varied among populations, with the highest diversity found in a German population; this population harbors 3-fold higher levels of silent diversity than worldwide samples of A. thaliana. All A. lyrata populations also yielded positive values of Tajima's D. We estimated a demographic model for these populations, finding evidence of population divergence over the past 19,000 to 47,000 years involving non-equilibrium demographic events that reduced the effective size of most populations. Finally, we used the inferred demographic model to perform an initial test for local adaptation and identified several genes, including the flowering time gene FCA and a disease resistance locus, as candidates for local adaptation events.


CONCLUSIONS
Our results underscore the importance of population-specific, non-equilibrium demographic processes in patterning diversity within A. lyrata. Moreover, our extensive dataset provides an important resource for future molecular population genetic studies of local adaptation in A. lyrata.
Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, United States of America.
Jeffrey
J
Ross-Ibarra
Stephen I
SI
Wright
John Paul
JP
Foxe
Akira
A
Kawabe
Leah
L
DeRose-Wilson
Gesseca
G
Gos
Deborah
D
Charlesworth
Brandon S
BS
Gaut
D000222:Adaptation, Physiological; D017360:Arabidopsis / Q000235:genetics* / Q000502:physiology; D018744:DNA, Plant / Q000235:genetics; D017343:Genes, Plant; D011110:Polymorphism, Genetic
D018744:DNA, Plant