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Coestimating Reticulate Phylogenies and Gene Trees from Multilocus Sequence Data.

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Summary
This summary is machine-generated.

This study introduces a Bayesian method using the multispecies network coalescent (MSNC) model to accurately infer evolutionary histories, including gene flow and incomplete lineage sorting (ILS). The method improves estimations of divergence and coalescence times in complex evolutionary scenarios.

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Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Population genetics

Background:

  • The multispecies network coalescent (MSNC) models gene tree evolution within phylogenetic networks.
  • Incomplete lineage sorting (ILS) and reticulation (e.g., hybridization) complicate evolutionary history inference.
  • Existing methods may struggle to accurately estimate divergence and coalescence times in the presence of these factors.

Purpose of the Study:

  • To develop and validate a Bayesian method for inferring species phylogenies and gene trees simultaneously.
  • To account for both incomplete lineage sorting (ILS) and reticulation (gene flow) within a unified generative model.
  • To accurately estimate evolutionary parameters like divergence times, coalescence times, and the timing of gene flow.

Main Methods:

  • Coupling the multispecies network coalescent (MSNC) with a stochastic mutational process.
  • Developing a Bayesian method for sampling model parameters from multi-locus DNA sequence data.
  • Analyzing simulated data and a yeast empirical data set to demonstrate method utility.

Main Results:

  • The Bayesian method accurately estimates evolutionary histories, coalescence times, and divergence times when gene flow occurs.
  • Coestimating species phylogenies and gene trees while accounting for reticulation and ILS simultaneously is significant.
  • The method accurately infers the most recent time of gene flow, outperforming traditional tree inference methods that underestimate divergence times and overestimate coalescence times in reticulate histories.

Conclusions:

  • The developed Bayesian method provides accurate inference of complex evolutionary histories involving ILS and gene flow.
  • Simultaneous estimation of phylogenetic and demographic parameters is crucial for reliable evolutionary inference.
  • This approach enhances our understanding of species evolution in the face of reticulation and incomplete lineage sorting.