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The benefits of maternal effects in novel and in stable environments

Overview of attention for article published in Journal of The Royal Society Interface, May 2012
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110 Mendeley
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2 CiteULike
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Article details
Title
The benefits of maternal effects in novel and in stable environments
Published in
Journal of The Royal Society Interface, May 2012
DOI 10.1098/rsif.2012.0183
Pubmed ID
Authors
Abstract

Natural selection favours phenotypes that match prevailing ecological conditions. A rapid process of adaptation is therefore required in changing environments. Maternal effects can facilitate such responses, but it is currently poorly understood under which circumstances maternal effects may accelerate or slow down the rate of phenotypic evolution. Here, we use a quantitative genetic model, including phenotypic plasticity and maternal effects, to suggest that the relationship between fitness and phenotypic variance plays an important role. Intuitive expectations that positive maternal effects are beneficial are supported following an extreme environmental shift, but, if too strong, that shift can also generate oscillatory dynamics that overshoot the optimal phenotype. In a stable environment, negative maternal effects that slow phenotypic evolution actually minimize variance around the optimum phenotype and thus maximize population mean fitness.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 5 5%
Norway 2 2%
United States 1 <1%
Portugal 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 99 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 24 22%
Student > Master 14 13%
Student > Bachelor 7 6%
Professor > Associate Professor 7 6%
Other 17 15%
Unknown 11 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 65 59%
Environmental Science 14 13%
Biochemistry, Genetics and Molecular Biology 9 8%
Mathematics 3 3%
Physics and Astronomy 2 2%
Other 5 5%
Unknown 12 11%