FCCC LOGO Faculty Publications
Tao Q , Tamura K , Mello B , Kumar S
Reliable confidence intervals for RelTime estimates of evolutionary divergence times
Mol Biol Evol. 2020 Jan 1;37(1) :280-290
PMID: 31638157    PMCID: PMC6984362    URL: https://www.ncbi.nlm.nih.gov/pubmed/31638157
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Abstract
Confidence intervals (CIs) depict the statistical uncertainty surrounding evolutionary divergence time estimates. They capture variance contributed by the finite number of sequences and sites used in the alignment, deviations of evolutionary rates from a strict molecular clock in a phylogeny, and uncertainty associated with clock calibrations. Reliable tests of biological hypotheses demand reliable CIs. However, current non-Bayesian methods may produce unreliable CIs because they do not incorporate rate variation among lineages and interactions among clock calibrations properly. Here, we present a new analytical method to calculate CIs of divergence times estimated using the RelTime method, along with an approach to utilize multiple calibration uncertainty densities in these analyses. Empirical data analyses showed that the new methods produce CIs that overlap with Bayesian highest posterior density (HPD) intervals. In the analysis of computer-simulated data, we found that RelTime CIs show excellent average coverage probabilities, i.e., the actual time is contained within the CIs with a 95% probability. These developments will encourage broader use of computationally-efficient RelTime approaches in molecular dating analyses and biological hypothesis testing.
Notes
1537-1719 Tao, Qiqing Tamura, Koichiro Mello, Beatriz Kumar, Sudhir R01 GM126567/GM/NIGMS NIH HHS/United States Journal Article United States R01 GM126567/GM/NIGMS NIH HHS/ Evaluation Study Mol Biol Evol. 2020 Jan 1;37(1):280-290. doi: 10.1093/molbev/msz236.