Combining contemporary and ancient DNA in population genetic and phylogeographical studies

Miguel Navascues, Frantz Depaulis, Brent C. Emerson

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

The analysis of ancient DNA in a population genetic or phylogeographical framework is an emerging field, as traditional analytical tools were largely developed for the purpose of analysing data sampled from a single time point. Markov chain Monte Carlo approaches have been successfully developed for the analysis of heterochronous sequence data from closed panmictic populations. However, attributing genetic differences between temporal samples to mutational events between time points requires the consideration of other factors that may also result in genetic differentiation. Geographical effects are an obvious factor for species exhibiting geographical structuring of genetic variation. The departure from a closed panmictic model require researchers to either exploit software developed for the analysis of isochronous data, take advantage of simulation approaches using algorithms developed for heterochronous data, or explore approximate Bayesian computation. Here, we review statistical approaches employed and available software for the joint analysis of ancient and modern DNA, and where appropriate we suggest how these may be further developed.
Original languageEnglish
Pages (from-to)760-772
Number of pages13
JournalMolecular Ecology Resources
Volume10
Issue number5
DOIs
Publication statusPublished - Sep 2010

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