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 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.

journal_name

Genetics

journal_title

Genetics

authors

Monnahan PJ,Kelly JK

doi

10.1534/genetics.117.201483

subject

Has Abstract

pub_date

2017-07-01 00:00:00

pages

1621-1635

issue

3

eissn

0016-6731

issn

1943-2631

pii

genetics.117.201483

journal_volume

206

pub_type

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