Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 Jan;209(1):80-5.
doi: 10.1111/nph.13583. Epub 2015 Jul 30.

Pleiotropy and the evolution of floral integration

Affiliations
Free article
Review

Pleiotropy and the evolution of floral integration

Stacey D Smith. New Phytol. 2016 Jan.
Free article

Abstract

Floral traits often show correlated variation, both within and across species. One explanation for this pattern of floral integration is that different elements of floral phenotypes are controlled by the same genes, that is, that the genetic architecture is pleiotropic. Recent studies from a range of model systems suggest that the pleiotropy is common among the loci responsible for floral divergence. Moreover, the effects of allelic substitutions at these loci are overwhelmingly aligned with direction of divergence, suggesting that the nature of the pleiotropic effects was adaptive. Molecular genetic studies have revealed the functional basis for some of these effects, although much remains to be discovered with respect to the molecular, biochemical and developmental mechanisms underlying most quantitative trait loci (QTL) responsible for floral differences. Developing a detailed understanding of the nature of pleiotropic mutations and their phenotypic consequences is crucial for modeling how the genetic architecture of trait variation influences the tempo and trajectory of floral evolution.

Keywords: adaptive pleiotropy; antagonistic pleiotropy; biochemical pathway; correlated variation; genetic architecture; linkage; positive pleiotropy; quantitative trait locus (QTL) mapping.

PubMed Disclaimer

Similar articles

Cited by

Publication types

LinkOut - more resources