4.5 Article

When to rely on maternal effects and when on phenotypic plasticity?

Journal

EVOLUTION
Volume 69, Issue 4, Pages 950-968

Publisher

WILEY
DOI: 10.1111/evo.12635

Keywords

environmental change; epigenetics; indirect genetic effect; maternal inheritance; nongenetic effect; phenotypic plasticity

Funding

  1. EPSRC [EP/H031928/1, EP/I017909/1]
  2. Engineering and Physical Sciences Research Council [EP/I017909/1, EP/H031928/1] Funding Source: researchfish
  3. EPSRC [EP/H031928/1, EP/I017909/1] Funding Source: UKRI

Ask authors/readers for more resources

Existing insight suggests that maternal effects have a substantial impact on evolution, yet these predictions assume that maternal effects themselves are evolutionarily constant. Hence, it is poorly understood how natural selection shapes maternal effects in different ecological circumstances. To overcome this, the current study derives an evolutionary model of maternal effects in a quantitative genetics context. In constant environments, we show that maternal effects evolve to slight negative values that result in a reduction of the phenotypic variance (canalization). By contrast, in populations experiencing abrupt change, maternal effects transiently evolve to positive values for many generations, facilitating the transmission of beneficial maternal phenotypes to offspring. In periodically fluctuating environments, maternal effects evolve according to the autocorrelation between maternal and offspring environments, favoring positive maternal effects when change is slow, and negative maternal effects when change is rapid. Generally, the strongest maternal effects occur for traits that experience very strong selection and for which plasticity is severely constrained. By contrast, for traits experiencing weak selection, phenotypic plasticity enhances the evolutionary scope of maternal effects, although maternal effects attain much smaller values throughout. As weak selection is common, finding substantial maternal influences on offspring phenotypes may be more challenging than anticipated.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available