Bayesian estimation of the timing and severity of a population bottleneck from ancient DNA
- PMID: 16636697
- PMCID: PMC1440876
- DOI: 10.1371/journal.pgen.0020059
Bayesian estimation of the timing and severity of a population bottleneck from ancient DNA
Abstract
In this first application of the approximate Bayesian computation approach using the serial coalescent, we demonstrated the estimation of historical demographic parameters from ancient DNA. We estimated the timing and severity of a population bottleneck in an endemic subterranean rodent, Ctenomys sociabilis, over the last 10,000 y from two cave sites in northern Patagonia, Argentina. Understanding population bottlenecks is important in both conservation and evolutionary biology. Conservation implications include the maintenance of genetic variation, inbreeding, fixation of mildly deleterious alleles, and loss of adaptive potential. Evolutionary processes are impacted because of the influence of small populations in founder effects and speciation. We found a decrease from a female effective population size of 95,231 to less than 300 females at 2,890 y before present: a 99.7% decline. Our study demonstrates the persistence of a species depauperate in genetic diversity for at least 2,000 y and has implications for modes of speciation in the incredibly diverse rodent genus Ctenomys. Our approach shows promise for determining demographic parameters for other species with ancient and historic samples and demonstrates the power of such an approach using ancient DNA.
Conflict of interest statement
Competing interests. The authors have declared that no competing interests exist.
Figures
References
-
- Rosenberg NA, Nordborg M. Genealogical trees, coalescent theory and the analysis of genetic polymorphisms. Nat Rev Genet. 2002;3:380–390. - PubMed
-
- Rodrigo AG, Felsenstein J. Coalescent approaches to HIV population genetics. In: Crandall KA, editor. The evolution of HIV. Baltimore: Johns Hopkins University Press; 1999. pp. 233–272.
-
- Anderson CNK, Ramakrishnan U, Chan YL, Hadly EA. Serial SimCoal: A population genetic model for data from multiple populations and points in time. Bioinformatics. 2005;21:1733–1734. - PubMed
-
- Laval G, Excoffier L. SIMCOAL 2.0: A program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history. Bioinformatics. 2004;20:2485–2487. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
