Close
Help




JOURNAL

Evolutionary Bioinformatics

Assignment of Calibration Information to Deeper Phylogenetic Nodes is More Effective in Obtaining Precise and Accurate Divergence Time Estimates

Submit a Paper


Evolutionary Bioinformatics 2014:10 79-85

Original Research

Published on 07 May 2014

DOI: 10.4137/EBO.S13908


Further metadata provided in PDF



Sign up for email alerts to receive notifications of new articles published in Evolutionary Bioinformatics

Abstract

Divergence time estimation has become an essential tool for understanding macroevolutionary events. Molecular dating aims to obtain reliable inferences, which, within a statistical framework, means jointly increasing the accuracy and precision of estimates. Bayesian dating methods exhibit the propriety of a linear relationship between uncertainty and estimated divergence dates. This relationship occurs even if the number of sites approaches infinity and places a limit on the maximum precision of node ages. However, how the placement of calibration information may affect the precision of divergence time estimates remains an open question. In this study, relying on simulated and empirical data, we investigated how the location of calibration within a phylogeny affects the accuracy and precision of time estimates. We found that calibration priors set at median and deep phylogenetic nodes were associated with higher precision values compared to analyses involving calibration at the shallowest node. The results were independent of the tree symmetry. An empirical mammalian dataset produced results that were consistent with those generated by the simulated sequences. Assigning time information to the deeper nodes of a tree is crucial to guarantee the accuracy and precision of divergence times. This finding highlights the importance of the appropriate choice of outgroups in molecular dating.



Downloads

PDF  (1.15 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

Supplementary Files 1  (50.25 KB ZIP FORMAT)

BibTex citation   (BIBDESK, LATEX)

XML

PMC HTML


Sharing


What Your Colleagues Say About Evolutionary Bioinformatics
I found the submission management system for Evolutionary Bioinformatics to be one of the most user-friendly around. The peer review was very rigorous and constructive. Support staff were polite and furnished accurate information almost instantly. I strongly recommend other scientists to consider this journal.
Dr Madhav P. Nepal (South Dakota State University, Brookings, SD, USA)
More Testimonials

Quick Links


New article and journal news notification services
Email Alerts RSS Feeds
Facebook Google+ Twitter
Pinterest Tumblr YouTube