Bayesian inference of population expansions in domestic bovines
Open Access
- 29 May 2007
- journal article
- Published by The Royal Society in Biology Letters
- Vol. 3 (4), 449-452
- https://doi.org/10.1098/rsbl.2007.0146
Abstract
The past population dynamics of four domestic and one wild species of bovine were estimated using Bayesian skyline plots, a coalescent Markov chain Monte Carlo method that does not require an assumed parametric model of demographic history. Four domestic species share a recent rapid population expansion not visible in the wild African buffalo (Syncerus caffer). The estimated timings of the expansions are consistent with the archaeological records of domestication.Keywords
This publication has 15 references indexed in Scilit:
- Mitochondrial DNA analysis shows a Near Eastern Neolithic origin for domestic cattle and no indication of domestication of European aurochsProceedings Of The Royal Society B-Biological Sciences, 2007
- Mitochondrial diversity in European and Chinese pigs is consistent with population expansions that occurred prior to domesticationProceedings Of The Royal Society B-Biological Sciences, 2006
- Bayesian Coalescent Inference of Past Population Dynamics from Molecular SequencesMolecular Biology and Evolution, 2005
- Rise and Fall of the Beringian Steppe BisonScience, 2004
- Analysis of mitochondrial D-loop region casts new light on domestic water buffalo (Bubalus bubalis) phylogenyMolecular Phylogenetics and Evolution, 2004
- DNA markers reveal the complexity of livestock domesticationNature Reviews Genetics, 2003
- African Pastoralism: Genetic Imprints of Origins and MigrationsScience, 2002
- Livestock genetic origins: Goats buck the trendProceedings of the National Academy of Sciences of the United States of America, 2001
- Mitochondrial diversity and the origins of African and European cattle.Proceedings of the National Academy of Sciences of the United States of America, 1996
- Evidence for two independent domestications of cattle.Proceedings of the National Academy of Sciences of the United States of America, 1994