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Parameter Estimation and Species Tree Rooting Using ALE and GeneRax

ALE and GeneRax are tools for probabilistic gene tree–species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene famil...

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Autores principales: Williams, Tom A, Davín, Adrián A, Morel, Benoit, Szánthó, Lénárd L, Spang, Anja, Stamatakis, Alexandros, Hugenholtz, Philip, Szöllősi, Gergely J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373948/
https://www.ncbi.nlm.nih.gov/pubmed/37463417
http://dx.doi.org/10.1093/gbe/evad134
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author Williams, Tom A
Davín, Adrián A
Morel, Benoit
Szánthó, Lénárd L
Spang, Anja
Stamatakis, Alexandros
Hugenholtz, Philip
Szöllősi, Gergely J
author_facet Williams, Tom A
Davín, Adrián A
Morel, Benoit
Szánthó, Lénárd L
Spang, Anja
Stamatakis, Alexandros
Hugenholtz, Philip
Szöllősi, Gergely J
author_sort Williams, Tom A
collection PubMed
description ALE and GeneRax are tools for probabilistic gene tree–species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene family origins, and root species trees. Published analyses have used these methods to root species trees of Archaea, Bacteria, and several eukaryotic groups, as well as to infer ancestral gene repertoires. However, it was recently suggested that reconciliation-based estimates of duplication and transfer events using the ALE/GeneRax model were unreliable, with potential implications for species tree rooting. Here, we assess these criticisms and find that the methods are accurate when applied to simulated data and in generally good agreement with alternative methodological approaches on empirical data. In particular, ALE recovers variation in gene duplication and transfer frequencies across lineages that is consistent with the known biology of studied clades. In plants and opisthokonts, ALE recovers the consensus species tree root; in Bacteria—where there is less certainty about the root position—ALE agrees with alternative approaches on the most likely root region. Overall, ALE and related approaches are promising tools for studying genome evolution.
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spelling pubmed-103739482023-07-28 Parameter Estimation and Species Tree Rooting Using ALE and GeneRax Williams, Tom A Davín, Adrián A Morel, Benoit Szánthó, Lénárd L Spang, Anja Stamatakis, Alexandros Hugenholtz, Philip Szöllősi, Gergely J Genome Biol Evol Article ALE and GeneRax are tools for probabilistic gene tree–species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene family origins, and root species trees. Published analyses have used these methods to root species trees of Archaea, Bacteria, and several eukaryotic groups, as well as to infer ancestral gene repertoires. However, it was recently suggested that reconciliation-based estimates of duplication and transfer events using the ALE/GeneRax model were unreliable, with potential implications for species tree rooting. Here, we assess these criticisms and find that the methods are accurate when applied to simulated data and in generally good agreement with alternative methodological approaches on empirical data. In particular, ALE recovers variation in gene duplication and transfer frequencies across lineages that is consistent with the known biology of studied clades. In plants and opisthokonts, ALE recovers the consensus species tree root; in Bacteria—where there is less certainty about the root position—ALE agrees with alternative approaches on the most likely root region. Overall, ALE and related approaches are promising tools for studying genome evolution. Oxford University Press 2023-07-18 /pmc/articles/PMC10373948/ /pubmed/37463417 http://dx.doi.org/10.1093/gbe/evad134 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Williams, Tom A
Davín, Adrián A
Morel, Benoit
Szánthó, Lénárd L
Spang, Anja
Stamatakis, Alexandros
Hugenholtz, Philip
Szöllősi, Gergely J
Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
title Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
title_full Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
title_fullStr Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
title_full_unstemmed Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
title_short Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
title_sort parameter estimation and species tree rooting using ale and generax
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373948/
https://www.ncbi.nlm.nih.gov/pubmed/37463417
http://dx.doi.org/10.1093/gbe/evad134
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