Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa.

ABSTRACT:

Background

Angiosperms employ an astonishing variety of visual and olfactory floral signals that are generally thought to evolve under natural selection. Those morphological and chemical traits can form highly correlated sets of traits. It is not always clear which of these are used by pollinators as primary targets of selection and which would be indirectly selected by being linked to those primary targets. Quantitative genetics tools for predicting multiple traits response to selection have been developed since long and have advanced our understanding of evolution of genetically correlated traits in various biological systems. We use these tools to predict the evolutionary trajectories of floral traits and understand the selection pressures acting on them.

Results

We used

SUBMITTER: Zu P 

PROVIDER: S-EPMC7517814 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature