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Selection on Rapidly Evolving Proteins in the Arabidopsis Genome
Marianne Barriera, Carlos D. Bustamantec, Jiaye Yub, and Michael D. Puruggananaa Department of Genetics, North Carolina State University, Raleigh, North Carolina 27695
b Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695
c Department of Statistics, University of Oxford, Oxford OX1 3TG, United Kingdom
Corresponding author: Michael D. Purugganan, North Carolina State University, 3513 Gardner Hall, Box 7614, Raleigh, NC 27695., michaelp{at}unity.ncsu.edu (E-mail)
Communicating editor: M. K. UYENOYAMA
= Ka/Ks). We used an evolutionary expressed sequence tag (EST) approach to estimate the distribution of
among 304 orthologous loci between Arabidopsis thaliana and A. lyrata to identify genes potentially involved in the adaptive divergence between these two Brassicaceae species. We find that 14 of 304 genes (
5%) have an estimated
> 1 and are candidates for genes with increased selection intensities. Molecular population genetic analyses of 6 of these rapidly evolving protein loci indicate that, despite their high levels of between-species nonsynonymous divergence, these genes do not have elevated levels of intraspecific replacement polymorphisms compared to previously studied genes. A hierarchical Bayesian analysis of protein-coding region evolution within and between species also indicates that the selection intensities of these genes are elevated compared to previously studied A. thaliana nuclear loci.
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