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Pre-Whaling Genetic Diversity and Population Ecology in Eastern Pacific Gray Whales: Insights from Ancient DNA and Stable Isotopes

Overview of attention for article published in PLOS ONE, May 2012
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Title
Pre-Whaling Genetic Diversity and Population Ecology in Eastern Pacific Gray Whales: Insights from Ancient DNA and Stable Isotopes
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0035039
Pubmed ID
Authors

S. Elizabeth Alter, Seth D. Newsome, Stephen R. Palumbi

Abstract

Commercial whaling decimated many whale populations, including the eastern Pacific gray whale, but little is known about how population dynamics or ecology differed prior to these removals. Of particular interest is the possibility of a large population decline prior to whaling, as such a decline could explain the ~5-fold difference between genetic estimates of prior abundance and estimates based on historical records. We analyzed genetic (mitochondrial control region) and isotopic information from modern and prehistoric gray whales using serial coalescent simulations and Bayesian skyline analyses to test for a pre-whaling decline and to examine prehistoric genetic diversity, population dynamics and ecology. Simulations demonstrate that significant genetic differences observed between ancient and modern samples could be caused by a large, recent population bottleneck, roughly concurrent with commercial whaling. Stable isotopes show minimal differences between modern and ancient gray whale foraging ecology. Using rejection-based Approximate Bayesian Computation, we estimate the size of the population bottleneck at its minimum abundance and the pre-bottleneck abundance. Our results agree with previous genetic studies suggesting the historical size of the eastern gray whale population was roughly three to five times its current size.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 3 1%
Germany 2 <1%
Netherlands 2 <1%
Mexico 2 <1%
Norway 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Chile 1 <1%
Sweden 1 <1%
Other 1 <1%
Unknown 211 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 26%
Student > Master 47 21%
Student > Ph. D. Student 29 13%
Student > Bachelor 23 10%
Other 19 8%
Other 31 14%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 138 61%
Environmental Science 29 13%
Biochemistry, Genetics and Molecular Biology 12 5%
Earth and Planetary Sciences 9 4%
Arts and Humanities 4 2%
Other 11 5%
Unknown 23 10%