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Maternal Investment Influences Expression of Resource Polymorphism in Amphibians: Implications for the Evolution of Novel Resource-Use Phenotypes

Overview of attention for article published in PLOS ONE, February 2010
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Title
Maternal Investment Influences Expression of Resource Polymorphism in Amphibians: Implications for the Evolution of Novel Resource-Use Phenotypes
Published in
PLOS ONE, February 2010
DOI 10.1371/journal.pone.0009117
Pubmed ID
Authors

Ryan A. Martin, David W. Pfennig

Abstract

Maternal effects--where an individual's phenotype is influenced by the phenotype or environment of its mother--are taxonomically and ecologically widespread. Yet, their role in the origin of novel, complex traits remains unclear. Here we investigate the role of maternal effects in influencing the induction of a novel resource-use phenotype. Spadefoot toad tadpoles, Spea multiplicata, often deviate from their normal development and produce a morphologically distinctive carnivore-morph phenotype, which specializes on anostracan fairy shrimp. We evaluated whether maternal investment influences expression of this novel phenotype. We found that larger females invested in larger eggs, which, in turn, produced larger tadpoles. Such larger tadpoles are better able to capture the shrimp that induce carnivores. By influencing the expression of novel resource-use phenotypes, maternal effects may play a largely underappreciated role in the origins of novelty.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Spain 2 3%
Australia 1 1%
Unknown 64 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Ph. D. Student 17 24%
Student > Master 11 15%
Student > Bachelor 5 7%
Professor > Associate Professor 4 6%
Other 9 13%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 66%
Environmental Science 11 15%
Unspecified 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Mathematics 1 1%
Other 0 0%
Unknown 10 14%