Bayesian inference of a historical bottleneck in a heavily exploited marine mammal.

Abstract:

:Emerging Bayesian analytical approaches offer increasingly sophisticated means of reconstructing historical population dynamics from genetic data, but have been little applied to scenarios involving demographic bottlenecks. Consequently, we analysed a large mitochondrial and microsatellite dataset from the Antarctic fur seal Arctocephalus gazella, a species subjected to one of the most extreme examples of uncontrolled exploitation in history when it was reduced to the brink of extinction by the sealing industry during the late eighteenth and nineteenth centuries. Classical bottleneck tests, which exploit the fact that rare alleles are rapidly lost during demographic reduction, yielded ambiguous results. In contrast, a strong signal of recent demographic decline was detected using both Bayesian skyline plots and Approximate Bayesian Computation, the latter also allowing derivation of posterior parameter estimates that were remarkably consistent with historical observations. This was achieved using only contemporary samples, further emphasizing the potential of Bayesian approaches to address important problems in conservation and evolutionary biology.

journal_name

Mol Ecol

journal_title

Molecular ecology

authors

Hoffman JI,Grant SM,Forcada J,Phillips CD

doi

10.1111/j.1365-294X.2011.05248.x

subject

Has Abstract

pub_date

2011-10-01 00:00:00

pages

3989-4008

issue

19

eissn

0962-1083

issn

1365-294X

journal_volume

20

pub_type

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