Genetic architecture of divergence: the selfing syndrome in Ipomoea lacunosa.
Highly selfing plant species frequently display a distinctive suite of traits termed the selfing syndrome. Here we tested the hypothesis that these traits are grouped into correlated evolutionary modules and determined the degree of independence between such modules.We evaluated phenotypic correlations and QTL overlaps in F2 offspring of a cross between the morning glories Ipomoea lacunosa and I. cordatotriloba and investigated how traits clustered into modules at both the phenotypic and genetic level. We then compared our findings to other QTL studies of the selfing syndrome.In the I. lacunosa selfing syndrome, traits grouped into modules that displayed correlated evolution within but not between modules. QTL overlap predicted phenotypic correlations, and QTLs affecting the same trait module were significantly physically clustered in the genome. The genetic architecture of the selfing syndrome varied across systems, but the pattern of stronger within- than between-module correlation was widespread.The genetic architecture we observe in the selfing syndrome is consistent with a growing understanding of floral morphological integration achieved via pleiotropy in clustered traits. This view of floral evolution is consistent with resource limitation or predation driving the evolution of the selfing syndrome, but invites further research into both the selective causes of the selfing syndrome and how genetic architecture itself evolves in response to changes in mating system.
Duke Scholars
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Related Subject Headings
- Quantitative Trait Loci
- Phenotype
- Ipomoea
- Flowers
- Evolutionary Biology
- Biological Evolution
- 3108 Plant biology
- 3104 Evolutionary biology
- 3103 Ecology
- 0607 Plant Biology
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Quantitative Trait Loci
- Phenotype
- Ipomoea
- Flowers
- Evolutionary Biology
- Biological Evolution
- 3108 Plant biology
- 3104 Evolutionary biology
- 3103 Ecology
- 0607 Plant Biology