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Bayesian molecular dating: opening up the black box.

Lindell Bromham1, Sebastián Duchêne2,3, Xia Hua1

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|December 16, 2017
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Bayesian molecular dating uses genetic data to estimate evolutionary timescales. This review clarifies the assumptions and methods behind these analyses, helping researchers make informed choices for accurate evolutionary rate and timescale estimations.

Keywords:
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Area of Science:

  • Evolutionary Biology
  • Computational Biology
  • Genetics

Background:

  • Molecular dating estimates evolutionary timescales using genetic data.
  • Bayesian methods have advanced molecular dating by incorporating complex evolutionary processes.
  • These methods rely on assumptions that can significantly impact results.

Purpose of the Study:

  • To demystify Bayesian molecular dating methods.
  • To explain the components, decisions, and interpretation factors in Bayesian dating analyses.
  • To guide researchers in making informed choices for estimating evolutionary rates and timescales.

Main Methods:

  • Review of Bayesian phylogenetic methods for molecular dating.
  • Explanation of model and prior choices in Bayesian dating.
  • Illustration of the impact of different assumptions on dating estimates.

Main Results:

  • Bayesian dating methods involve critical assumptions about evolutionary processes.
  • Model and prior selections demonstrably influence molecular dating outcomes.
  • Understanding these factors is crucial for reliable evolutionary timescale estimation.

Conclusions:

  • Researchers need to carefully consider assumptions and choices in Bayesian molecular dating.
  • Further research is needed to enhance the reliability of these methods.
  • Informed application of Bayesian dating improves the accuracy of evolutionary rate and timescale estimations.