Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/74773
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: The influence of rate heterogeneity among sites on the time dependence of molecular rates
Author: Soubrier, J.
Steel, M.
Lee, M.
Dersarkissian, C.
Guindon, S.
Ho, S.
Cooper, A.
Citation: Molecular Biology and Evolution, 2012; 29(11):3345-3358
Publisher: Oxford Univ Press
Issue Date: 2012
ISSN: 0737-4038
1537-1719
Statement of
Responsibility: 
Julien Soubrier, Mike Steel, Michael S.Y. Lee, Clio Der Sarkissian, Stéphane Guindon, Simon Y.W. Ho, and Alan Cooper
Abstract: Molecular evolutionary rate estimates have been shown to depend on the time period over which they are estimated. Factors such as demographic processes, calibration errors, purifying selection, and the heterogeneity of substitution rates among sites (RHAS) are known to affect the accuracy with which rates of evolution are estimated. We use mathematical modeling and Bayesian analyses of simulated sequence alignments to explore how mutational hotspots can lead to time-dependent rate estimates. Mathematical modeling shows that underestimation of molecular rates over increasing time scales is inevitable when RHAS is ignored. Although a gamma distribution is commonly used to model RHAS, we show that when the actual RHAS deviates from a gamma-like distribution, rates can either be under- or overestimated in a time-dependent manner. Simulations performed under different scenarios of RHAS confirm the mathematical modeling and demonstrate the impacts of time-dependent rates on estimates of divergence times. Most notably, erroneous rate estimates can have narrow credibility intervals, leading to false confidence in biased estimates of rates, and node ages. Surprisingly, large errors in estimates of overall molecular rate do not necessarily generate large errors in divergence time estimates. Finally, we illustrate the correlation between time-dependent rate patterns and differential saturation between quickly and slowly evolving sites. Our results suggest that data partitioning or simple nonparametric mixture models of RHAS significantly improve the accuracy with which node ages and substitution rates can be estimated
Keywords: among-site rate variation; molecular clock; substitution rate; divergence times; time-dependent rates
Rights: © The Author 2012. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please-mail: journals.permissions@oup.com
RMID: 0020122524
DOI: 10.1093/molbev/mss140
Appears in Collections:IPAS publications
Earth and Environmental Sciences publications
Environment Institute Leaders publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.