Title
Nucleotide usage biases distort inferences of the species tree
Language
English
Description (en)
Despite the importance of natural selection in species' evolutionary history, phylogenetic methods that take into account population-level processes typically ignore selection. The assumption of neutrality is often based on the idea that selection occurs at a minority of loci in the genome and is unlikely to compromise phylogenetic inferences significantly. However, genome-wide processes like GC-bias and some variation segregating at the coding regions are known to evolve in the nearly neutral range. As we are now using genome-wide data to estimate species trees, it is natural to ask whether weak but pervasive selection is likely to blur species tree inferences. We developed a polymorphism-aware phylogenetic model tailored for measuring signatures of nucleotide usage biases to test the impact of selection in the species tree. Our analyses indicate that although the inferred relationships among species are not significantly compromised, the genetic distances are systematically underestimated in a node-height-dependent manner: that is, the deeper nodes tend to be more underestimated than the shallow ones. Such biases have implications for molecular dating. We dated the evolutionary history of 30 worldwide fruit fly populations, and we found signatures of GC-bias considerably affecting the estimated divergence times (up to 23%) in the neutral model. Our findings call for the need to account for selection when quantifying divergence or dating species evolution.
Keywords (en)
Multispecies Coalescent Model; Gene Conversion; Evolution; Population; Drosophila; Selection; History; Genomes
DOI
10.1093/gbe/evab290
Author of the digital object
Rui  Borges  (University of Veterinary Medicine Vienna)
Author of the digital object
Bastien  Boussau  (Université de Lyon)
Gergely J.  Szöllősi  (Eötvös University / Hungarian Academy of Sciences)
Author of the digital object
Carolin  Kosiol  (University of Veterinary Medicine Vienna / University of St Andrews)
Format
application/pdf
Size
742.8 kB
Licence Selected
CC BY-NC 4.0 International
Type of publication
Article
Name of Publication (en)
Genome Biology and Evolution
Pages or Volume
13
Volume
14
Number
1
Publisher
Oxford University Press
Publication Date
2022
Content
Details
Object type
PDFDocument
Format
application/pdf
Created
16.06.2023 11:12:46
This object is in collection
Metadata
Veterinärmedizinische Universität Wien (Vetmeduni) | Veterinärplatz 1 | 1210 Wien - Österreich | T +43 1 25077-0 | Web: vetmeduni.ac.at