Divergence time and evolutionary rate estimation with multilocus data.
Bayesian methods for estimating evolutionary divergence times are extended to multigene data sets, and a technique is described for detecting correlated changes in evolutionary rates among genes. Simulations are employed to explore the effect of multigene data on divergence time estimation, and the methodology is illustrated with a previously published data set representing diverse plant taxa. The fact that evolutionary rates and times are confounded when sequence data are compared is emphasized and the importance of fossil information for disentangling rates and times is stressed.
Thorne
Jeffrey L
JL
Bioinformatics Research Center, Box 7566, North Carolina State University, Raleigh, North Carolina 27695-7566, USA. thorne@statgen.nscu.edu
Kishino
Hirohisa
H
D000465:Algorithms; D001499:Bayes Theorem; D005075:Biological Evolution; D019143:Evolution, Molecular; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D010802:Phylogeny; D010944:Plants / Q000235:genetics; D013997:Time Factors