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Does Sex Speed Up Evolutionary Rate and Increase Biodiversity?

Overview of attention for article published in PLoS Computational Biology, March 2012
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Title
Does Sex Speed Up Evolutionary Rate and Increase Biodiversity?
Published in
PLoS Computational Biology, March 2012
DOI 10.1371/journal.pcbi.1002414
Pubmed ID
Authors

Carlos J. Melián, David Alonso, Stefano Allesina, Richard S. Condit, Rampal S. Etienne

Abstract

Most empirical and theoretical studies have shown that sex increases the rate of evolution, although evidence of sex constraining genomic and epigenetic variation and slowing down evolution also exists. Faster rates with sex have been attributed to new gene combinations, removal of deleterious mutations, and adaptation to heterogeneous environments. Slower rates with sex have been attributed to removal of major genetic rearrangements, the cost of finding a mate, vulnerability to predation, and exposure to sexually transmitted diseases. Whether sex speeds or slows evolution, the connection between reproductive mode, the evolutionary rate, and species diversity remains largely unexplored. Here we present a spatially explicit model of ecological and evolutionary dynamics based on DNA sequence change to study the connection between mutation, speciation, and the resulting biodiversity in sexual and asexual populations. We show that faster speciation can decrease the abundance of newly formed species and thus decrease long-term biodiversity. In this way, sex can reduce diversity relative to asexual populations, because it leads to a higher rate of production of new species, but with lower abundances. Our results show that reproductive mode and the mechanisms underlying it can alter the link between mutation, evolutionary rate, speciation and biodiversity and we suggest that a high rate of evolution may not be required to yield high biodiversity.

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Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Germany 2 2%
Switzerland 2 2%
France 2 2%
Sweden 1 <1%
Canada 1 <1%
Brazil 1 <1%
Russia 1 <1%
Slovenia 1 <1%
Other 2 2%
Unknown 110 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 27%
Student > Ph. D. Student 34 27%
Student > Master 13 10%
Student > Bachelor 11 9%
Professor 6 5%
Other 16 13%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 49%
Environmental Science 16 13%
Biochemistry, Genetics and Molecular Biology 9 7%
Computer Science 6 5%
Physics and Astronomy 6 5%
Other 11 9%
Unknown 17 13%