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Evidence of Adaptive Evolutionary Divergence during Biological Invasion

Overview of attention for article published in PLOS ONE, November 2012
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Title
Evidence of Adaptive Evolutionary Divergence during Biological Invasion
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049377
Pubmed ID
Authors

Kay Lucek, Arjun Sivasundar, Ole Seehausen

Abstract

Rapid phenotypic diversification during biological invasions can either arise by adaptation to alternative environments or by adaptive phenotypic plasticity. Where experimental evidence for adaptive plasticity is common, support for evolutionary diversification is rare. Here, we performed a controlled laboratory experiment using full-sib crosses between ecologically divergent threespine stickleback populations to test for a genetic basis of adaptation. Our populations are from two very different habitats, lake and stream, of a recently invaded range in Switzerland and differ in ecologically relevant morphological traits. We found that in a lake-like food treatment lake fish grow faster than stream fish, resembling the difference among wild type individuals. In contrast, in a stream-like food treatment individuals from both populations grow similarly. Our experimental data suggest that genetically determined diversification has occurred within less than 140 years after the arrival of stickleback in our studied region.

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Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 2 2%
Germany 1 1%
France 1 1%
Finland 1 1%
Portugal 1 1%
Canada 1 1%
South Africa 1 1%
Unknown 72 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 17 20%
Student > Master 10 12%
Professor > Associate Professor 8 10%
Other 6 7%
Other 18 22%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 65%
Environmental Science 11 13%
Biochemistry, Genetics and Molecular Biology 4 5%
Earth and Planetary Sciences 3 4%
Computer Science 1 1%
Other 4 5%
Unknown 6 7%