| Автор | Arbogast, Brian S. |
| Автор | Edwards, Scott V. |
| Автор | Wakeley, John |
| Автор | Beerli, Peter |
| Автор | Slowinski, Joseph B. |
| Дата выпуска | 2002 |
| dc.description | ▪ Abstract Molecular clocks have profoundly influenced modern views on the timing of important events in evolutionary history. We review recent advances in estimating divergence times from molecular data, emphasizing the continuum between processes at the phylogenetic and population genetic scales. On the phylogenetic scale, we address the complexities of DNA sequence evolution as they relate to estimating divergences, focusing on models of nucleotide substitution and problems associated with among-site and among-lineage rate variation. On the population genetic scale, we review advances in the incorporation of ancestral population processes into the estimation of divergence times between recently separated species. Throughout the review we emphasize new statistical methods and the importance of model testing during the process of divergence time estimation. |
| Формат | application.pdf |
| Издатель | Annual Reviews |
| Копирайт | Annual Reviews |
| Название | ESTIMATING DIVERGENCE TIMES FROM MOLECULAR DATA ON PHYLOGENETIC AND POPULATION GENETIC TIMESCALES |
| Print ISSN | 0066-4162 |
| Журнал | Annual Review of Ecology and Systematics |
| Том | 33 |
| Первая страница | 707 |
| Последняя страница | 740 |
| Аффилиация | Arbogast, Brian S.; Department of Biological Sciences, Humboldt State University, Arcata, California 95521; email: bsa2@humboldt.edu |
