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Estimating TimeTrees with MEGA and the TimeTree Resource.

Beatriz Mello1

  • 1Department of Genetics, Federal University of Rio de Janeiro, RJ, Brazil.

Molecular Biology and Evolution
|June 23, 2018
PubMed
Summary
This summary is machine-generated.

Estimating evolutionary timetrees is crucial for understanding lineage history. This protocol simplifies molecular dating using MEGA X and the TimeTree resource for accurate biological timescale estimation, even with large genomic datasets.

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Area of Science:

  • Evolutionary Biology
  • Computational Biology
  • Genomics

Background:

  • Molecular dating, producing timetrees, is vital for evolutionary analyses.
  • Estimating divergence times from molecular data is often complex.
  • Genome-wide datasets present unique challenges for molecular dating.

Purpose of the Study:

  • To present a straightforward protocol for estimating timetrees using MEGA X.
  • To demonstrate the utility of the TimeTree resource for obtaining calibration boundaries.
  • To simplify the process of establishing biological timescales from molecular data.

Main Methods:

  • Utilizing the MEGA X software for molecular dating.
  • Implementing a protocol for estimating divergence times.
  • Leveraging the TimeTree resource for chronological calibration.

Main Results:

  • A clear protocol for estimating timetrees in MEGA X is provided.
  • The TimeTree resource is shown to be effective for obtaining calibration boundaries.
  • The method allows for straightforward biological timescale estimation.

Conclusions:

  • Molecular dating and timetree estimation can be simplified with the presented protocol.
  • MEGA X and the TimeTree resource offer a robust approach for evolutionary timescale reconstruction.
  • This method facilitates evolutionary analyses requiring accurate divergence time estimates.