首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Branch length estimation and divergence dating: estimates of error in Bayesian and maximum likelihood frameworks
Authors:Rachel S Schwartz  Rachel L Mueller
Institution:(1) Department of Biology, Colorado State University, Fort Collins, 80523-1878, CO, USA
Abstract:

Background  

Estimates of divergence dates between species improve our understanding of processes ranging from nucleotide substitution to speciation. Such estimates are frequently based on molecular genetic differences between species; therefore, they rely on accurate estimates of the number of such differences (i.e. substitutions per site, measured as branch length on phylogenies). We used simulations to determine the effects of dataset size, branch length heterogeneity, branch depth, and analytical framework on branch length estimation across a range of branch lengths. We then reanalyzed an empirical dataset for plethodontid salamanders to determine how inaccurate branch length estimation can affect estimates of divergence dates.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号