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Explaining the apparent paradox of persistent selection for early flowering
Emily J Austen1, Locke Rowe2, John R Stinchcombe2,3
1Biology Department, University of Ottawa, Ottawa, ON, K1N 6N5, Canada.
The New Phytologist
|April 19, 2017
Summary
Phenotypic selection consistently favors early flowering in plants, contrary to life-history theory. This viewpoint explores four mechanisms that may explain this paradox and maintain ongoing directional selection for early flowering.
Area of Science:
- Evolutionary Biology
- Plant Ecology
- Life History Theory
Background:
- Decades of observation show consistent phenotypic selection for early flowering onset in natural plant populations.
- This pattern appears to contradict life-history theory, which predicts stabilizing selection on age and size at reproduction.
- Flowering time is known to evolve, raising questions about what maintains directional selection for early flowering.
Purpose of the Study:
- To reconcile the paradox of pervasive selection for early flowering onset.
- To explore mechanisms that maintain ongoing directional selection for early flowering.
- To highlight areas for future research in flowering-time evolution.
Main Methods:
- This viewpoint synthesizes existing research and theoretical frameworks.
- It outlines four potential mechanisms explaining the observed selection patterns.
- The study focuses on theoretical reconciliation rather than new empirical data.
Main Results:
- Four non-mutually exclusive processes are proposed to explain the paradox.
- These include selection via other fitness components, asymmetry in fitness functions, condition-dependence, and selection on flowering duration.
- These mechanisms suggest that selection for later flowering may be rare or difficult to detect.
Conclusions:
- The study proposes a framework for understanding the evolutionary maintenance of early flowering.
- Further research is needed to empirically test these proposed mechanisms.
- A comprehensive understanding of flowering-time evolution requires accounting for multiple fitness components and ecological factors.
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