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Fitness consequences of maternal and grandmaternal effects

Overview of attention for article published in Ecology and Evolution, July 2014
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Article details
Title
Fitness consequences of maternal and grandmaternal effects
Published in
Ecology and Evolution, July 2014
DOI 10.1002/ece3.1150
Pubmed ID
Authors
Abstract

Transgenerational effects are broader than only parental relationships. Despite mounting evidence that multigenerational effects alter phenotypic and life-history traits, our understanding of how they combine to determine fitness is not well developed because of the added complexity necessary to study them. Here, we derive a quantitative genetic model of adaptation to an extraordinary new environment by an additive genetic component, phenotypic plasticity, maternal and grandmaternal effects. We show how, at equilibrium, negative maternal and negative grandmaternal effects maximize expected population mean fitness. We define negative transgenerational effects as those that have a negative effect on trait expression in the subsequent generation, that is, they slow, or potentially reverse, the expected evolutionary dynamic. When maternal effects are positive, negative grandmaternal effects are preferred. As expected under Mendelian inheritance, the grandmaternal effects have a lower impact on fitness than the maternal effects, but this dual inheritance model predicts a more complex relationship between maternal and grandmaternal effects to constrain phenotypic variance and so maximize expected population mean fitness in the offspring.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 81 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 %
Norway 3 4%
United States 1 1%
United Kingdom 1 1%
France 1 1%
Germany 1 1%
Canada 1 1%
Belgium 1 1%
Unknown 72 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Researcher 17 21%
Student > Master 10 12%
Student > Bachelor 6 7%
Professor 5 6%
Other 12 15%
Unknown 7 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 51 63%
Environmental Science 8 10%
Biochemistry, Genetics and Molecular Biology 4 5%
Earth and Planetary Sciences 2 2%
Medicine and Dentistry 2 2%
Other 6 7%
Unknown 8 10%