The Genomic Architecture of Flowering Time Varies Across Space and Time in Mimulus guttatus.

ABSTRACT: The degree to which genomic architecture varies across space and time is central to the evolution of genomes in response to natural selection. Bulked-segregant mapping combined with pooled sequencing provides an efficient means to estimate the effect of genetic variants on quantitative traits. We develop a novel likelihood framework to identify segregating variation within multiple populations and generations while accommodating estimation error on a sample- and SNP-specific basis. We use this method to map loci for flowering time within natural populations of Mimulus guttatus, collecting the early- and late-flowering plants from each of three neighboring populations and two consecutive generations. Structural variants, such as inversions, and genes from multiple flowering-time path

SUBMITTER: Monnahan PJ 

PROVIDER: S-EPMC5500155 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature