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• W2952719668 abstract "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 pathways exhibit the strongest associations with flowering time. We find appreciable variation in genetic effects on flowering time across both time and space; the greatest differences evident between populations, where numerous factors (environmental variation, genomic background, and private polymorphisms) likely contribute to heterogeneity. However, the changes across years within populations clearly identify genotype-by-environment interactions as an important influence on flowering time variation." @default.
• W2952719668 created "2019-06-27" @default.
• W2952719668 creator A5000347190 @default.
• W2952719668 creator A5091625941 @default.
• W2952719668 date "2017-07-01" @default.
• W2952719668 modified "2023-09-30" @default.
• W2952719668 title "The Genomic Architecture of Flowering Time Varies Across Space and Time in <i>Mimulus guttatus</i>" @default.
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• W2952719668 doi "https://doi.org/10.1534/genetics.117.201483" @default.
• W2952719668 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5500155" @default.
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• W2952719668 hasPublicationYear "2017" @default.
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