4.6 Article

Modularity and selection of nectar traits in the evolution of the selfing syndrome in Ipomoea lacunosa (Convolvulaceae)

Journal

NEW PHYTOLOGIST
Volume 233, Issue 3, Pages 1505-1519

Publisher

WILEY
DOI: 10.1111/nph.17863

Keywords

floral modularity; genetic correlations; Ipomoea; nectar traits; phenotypic divergence; QTL; selection; selfing syndrome

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Funding

  1. NSF [DEB 1542387]

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The study revealed that nectar traits evolved independently in the selfing syndrome, and the reduction of nectar traits in selfing Ipomoea lacunosa was due to selection. Genetic correlations predicted from QTL properties are consistent with observed genetic correlations.
Although the evolution of the selfing syndrome often involves reductions in floral size, pollen and nectar, few studies of selfing syndrome divergence have examined nectar. We investigate whether nectar traits have evolved independently of other floral size traits in the selfing syndrome, whether nectar traits diverged due to drift or selection, and the extent to which quantitative trait locus (QTL) analyses predict genetic correlations. We use F5 recombinant inbred lines (RILs) generated from a cross between Ipomoea cordatotriloba and Ipomoea lacunosa. We calculate genetic correlations to identify evolutionary modules, test whether trait divergence was due to selection, identify QTLs and perform correlation analyses to evaluate how well QTL properties reflect genetic correlations. Nectar and floral size traits form separate evolutionary modules. Selection has acted to reduce nectar traits in the selfing I. lacunosa. Genetic correlations predicted from QTL properties are consistent with observed genetic correlations. Changes in floral traits associated with the selfing syndrome reflect independent evolution of at least two evolutionary modules: nectar and floral size traits. We also demonstrate directional selection on nectar traits, which is likely to be independent of selection on floral size traits. Our study also supports the expected mechanistic link between QTL properties and genetic correlations.

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