MBE Advance Access originally published online on October 31, 2003
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Mol. Biol. Evol. 21(2):240-248. 2004
DOI: 10.1093/molbev/msh012
© 2004 by the Society for Molecular Biology and Evolution. ISSN: 0737-4038
Ancient DNA Enables Timing of the Pleistocene Origin and Holocene Expansion of Two Adélie Penguin Lineages in Antarctica




,
* Allan Wilson Centre for Molecular Ecology and Evolution, Auckland
Institute of Molecular BioSciences, Massey University, Auckland
School of Biological Sciences, University of Auckland, Auckland, New Zealand
Dipartmento Scienze della Terra, Università di Pisa, and Consiglio Nazionale Ricerche, Centro Studio Geologia Strutturale, Pisa, Italy
E mail: d.m.lambert{at}massey.ac.nz.
The timing of divergent events in history is one of the central goals of contemporary evolutionary biology. Such studies are however dependent on accurate evolutionary rates. Recent developments in ancient DNA analysis enable the estimation of more accurate evolutionary rates and therefore more accurate timing of divergence events. Consequently, this leads to a better understanding of changes in populations through time. We use an evolutionary rate calculated from ancient DNA of Adélie penguins (Pygoscelis adeliae) to time divergent events in their history. We report the presence of two distinct and highly variable mitochondrial DNA lineages and track changes in these lineages through space and time. When the ancient DNA and the phylogenetic rates are used to estimate the time of origin of the lineages, two very different estimates resulted. In addition, these same rates provide very different estimates of the time of expansion of these lineages. We suggest that the rate calculated from ancient DNA is more consistent with the glacial history of Antarctica and requires fewer assumptions than does a narrative based on the phylogenetic rate. Finally, we suggest that our study indicates an important new role for ancient DNA studies in the timing of divergent events in history.
Key Words: molecular clock phylogeography control region Bayesian inference rate heterogeneity
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