Polymorphism‐aware estimation of species trees and evolutionary forces from genomic sequences with RevBayes

Rui Borges, Bastien Boussau, Sebastian Höhna, Ricardo J. Pereira, Carolin Kosiol*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

1. The availability of population genomic data through new sequencing technologies gives unprecedented opportunities for estimating important evolutionary forces such as genetic drift, selection and mutation biases across organisms. Yet, analytical methods that can handle polymorphisms jointly with sequence divergence across species are rare and not easily accessible to empiricists.

2. We implemented polymorphism-aware phylogenetic models (PoMos), an alternative approach for species tree estimation, in the Bayesian phylogenetic software RevBayes. PoMos naturally account for incomplete lineage sorting, which is known to cause difficulties for phylogenetic inference in species radiations, and scale well with genome-wide data. Simultaneously, PoMos can estimate mutation and selection biases.

3. We have applied our methods to resolve the complex phylogenetic relationships of a young radiation of Chorthippus grasshoppers, based on coding sequences. In addition to establishing a well-supported species tree, we found a mutation bias favouring AT alleles and selection bias promoting the fixation of GC alleles, the latter consistent with GC-biased gene conversion. The selection bias is two orders of magnitude lower than genetic drift, validating the critical role of nearly neutral evolutionary processes in species radiation.

4. PoMos offer a wide range of models to reconstruct phylogenies and can be easily combined with existing models in RevBayes—for example, relaxed clock and divergence time estimation—offering new insights into the evolutionary processes underlying molecular evolution and, ultimately, species diversification.
Original languageEnglish
Article number13980
Number of pages8
JournalMethods in Ecology and Evolution
VolumeEarly View
Early online date22 Sept 2022
DOIs
Publication statusE-pub ahead of print - 22 Sept 2022

Keywords

  • Genomics
  • Phylogenetics
  • Population genetics
  • Application
  • Applications
  • Bayesian inference
  • Grasshoppers
  • Mutation bias
  • Polymorphism‐aware phylogenetic models
  • RevBayes
  • Selection
  • Species tree

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