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Updated: May 17, 2026
08:57
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Estimating divergence times in large molecular phylogenies
Koichiro Tamura1, Fabia Ursula Battistuzzi, Paul Billing-Ross
1Department of Biological Sciences, Tokyo Metropolitan University, Tokyo 192-0397, Japan.
Summary
A new method, RelTime, estimates relative divergence times for large phylogenetic trees rapidly and accurately. This molecular dating tool overcomes computational challenges, enabling broader evolutionary analyses.
Area of Science:
- Evolutionary Biology
- Computational Biology
- Phylogenetics
Background:
- Molecular dating is crucial for understanding the Tree of Life's temporal dimension.
- Current molecular timetree methods face challenges with large datasets, rate heterogeneity, and calibration uncertainty.
Purpose of the Study:
- To present a novel method for estimating relative divergence times in large phylogenetic trees.
- To overcome computational limitations and improve accuracy in molecular dating.
Main Methods:
- Developed a method (RelTime) to estimate relative divergence times for all nodes in large phylogenetic trees.
- The method does not assume specific lineage rate variation models or require clock calibrations.
Main Results:
- RelTime outperformed existing methods on simulated datasets with extensive rate variation.
- Calculations were, on average, 1,000 times faster than the fastest Bayesian method, with greater speed gains for larger datasets.
Conclusions:
- RelTime offers a fast and accurate solution for molecular dating of very large datasets.
- Relative time estimates aid in understanding speciation events, evolutionary rates, and calibrating absolute divergence times.
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