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The Fate of Cooperation during Range Expansions

Overview of attention for article published in PLoS Computational Biology, March 2013
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Title
The Fate of Cooperation during Range Expansions
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1002994
Pubmed ID
Authors

Kirill S. Korolev

Abstract

Species expand their geographical ranges following an environmental change, long range dispersal, or a new adaptation. Range expansions not only bring an ecological change, but also affect the evolution of the expanding species. Although the dynamics of deleterious, neutral, and beneficial mutations have been extensively studied in expanding populations, the fate of alleles under frequency-dependent selection remains largely unexplored. The dynamics of cooperative alleles are particularly interesting because selection can be both frequency and density dependent, resulting in a coupling between population and evolutionary dynamics. This coupling leads to an increase in the frequency of cooperators at the expansion front, and, under certain conditions, the entire front can be taken over by cooperators. Thus, a mixed population wave can split into an expansion wave of only cooperators followed by an invasion wave of defectors. After the splitting, cooperators increase in abundance by expanding into new territories faster than they are invaded by defectors. Our results not only provide an explanation for the maintenance of cooperation but also elucidate the effect of eco-evolutionary feedback on the maintenance of genetic diversity during range expansions. When cooperators do not split away, we find that defectors can spread much faster with cooperators than they would be able to on their own or by invading cooperators. This enhanced rate of expansion in mixed waves could counterbalance the loss of genetic diversity due to the founder effect for mutations under frequency-dependent selection. Although we focus on cooperator-defector interactions, our analysis could also be relevant for other systems described by reaction-diffusion equations.

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Geographical breakdown

Country Count As %
United States 3 4%
Netherlands 2 2%
Germany 1 1%
Switzerland 1 1%
Argentina 1 1%
France 1 1%
Unknown 74 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 31%
Researcher 22 27%
Professor > Associate Professor 5 6%
Student > Doctoral Student 5 6%
Student > Bachelor 5 6%
Other 13 16%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 34%
Physics and Astronomy 20 24%
Biochemistry, Genetics and Molecular Biology 6 7%
Computer Science 5 6%
Environmental Science 3 4%
Other 9 11%
Unknown 12 14%