The power to detect quantitative trait loci using resequenced, experimentally evolved populations of diploid, sexual organisms.
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ABSTRACT: A novel approach for dissecting complex traits is to experimentally evolve laboratory populations under a controlled environment shift, resequence the resulting populations, and identify single nucleotide polymorphisms (SNPs) and/or genomic regions highly diverged in allele frequency. To better understand the power and localization ability of such an evolve and resequence (E&R) approach, we carried out forward-in-time population genetics simulations of 1 Mb genomic regions under a large combination of experimental conditions, then attempted to detect significantly diverged SNPs. Our analysis indicates that the ability to detect differentiation between populations is primarily affected by selection coefficient, population size, number of replicate populations, and number of founding haploty
SUBMITTER: Baldwin-Brown JG
PROVIDER: S-EPMC3969567 | biostudies-literature | 2014 Apr
REPOSITORIES: biostudies-literature
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