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Nucleotide Usage Biases Distort Inferences of the Species Tree
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 un...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829901/ https://www.ncbi.nlm.nih.gov/pubmed/34983052 http://dx.doi.org/10.1093/gbe/evab290 |
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author | Borges, Rui Boussau, Bastien Szöllősi, Gergely J Kosiol, Carolin |
author_facet | Borges, Rui Boussau, Bastien Szöllősi, Gergely J Kosiol, Carolin |
author_sort | Borges, Rui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8829901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88299012022-02-11 Nucleotide Usage Biases Distort Inferences of the Species Tree Borges, Rui Boussau, Bastien Szöllősi, Gergely J Kosiol, Carolin Genome Biol Evol Research Article 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. Oxford University Press 2022-01-04 /pmc/articles/PMC8829901/ /pubmed/34983052 http://dx.doi.org/10.1093/gbe/evab290 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Borges, Rui Boussau, Bastien Szöllősi, Gergely J Kosiol, Carolin Nucleotide Usage Biases Distort Inferences of the Species Tree |
title | Nucleotide Usage Biases Distort Inferences of the Species Tree |
title_full | Nucleotide Usage Biases Distort Inferences of the Species Tree |
title_fullStr | Nucleotide Usage Biases Distort Inferences of the Species Tree |
title_full_unstemmed | Nucleotide Usage Biases Distort Inferences of the Species Tree |
title_short | Nucleotide Usage Biases Distort Inferences of the Species Tree |
title_sort | nucleotide usage biases distort inferences of the species tree |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829901/ https://www.ncbi.nlm.nih.gov/pubmed/34983052 http://dx.doi.org/10.1093/gbe/evab290 |
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