10.5061/DRYAD.0KJ5N
Hoffman, Joe I
Bielefeld University
Grant, Suzie M
British Antarctic Survey
Forcada, Jaume
British Antarctic Survey
Phillips, Caleb D
Texas Tech University
Data from: Bayesian inference of a historical bottleneck in a heavily
exploited marine mammal
Dryad
dataset
2011
Arctocephalus gazella
Wildlife Management
2011-06-24T15:19:14Z
2011-06-24T15:19:14Z
en
https://doi.org/10.1111/j.1365-294X.2011.05248.x
135141 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
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 computing, 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 outstanding problems in
conservation and evolutionary biology.
Hoffman microsatellite dataMicrosatellite dataset (246 individuals
genotyped at 21 loci, with sample identities and locations)Hoffman
sequence dataSequence datafile, sorted by haplotype, with the same
individual identifiers as in the microsatellite datafile.
Antarctica
South Georgia