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Phylogenomic Testing of Root Hypotheses

The determination of the last common ancestor (LCA) of a group of species plays a vital role in evolutionary theory. Traditionally, an LCA is inferred by the rooting of a fully resolved species tree. From a theoretical perspective, however, inference of the LCA amounts to the reconstruction of just...

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Autores principales: Tria, Fernando D K, Landan, Giddy, Picazo, Devani Romero, Dagan, Tal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262964/
https://www.ncbi.nlm.nih.gov/pubmed/37247390
http://dx.doi.org/10.1093/gbe/evad096
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author Tria, Fernando D K
Landan, Giddy
Picazo, Devani Romero
Dagan, Tal
author_facet Tria, Fernando D K
Landan, Giddy
Picazo, Devani Romero
Dagan, Tal
author_sort Tria, Fernando D K
collection PubMed
description The determination of the last common ancestor (LCA) of a group of species plays a vital role in evolutionary theory. Traditionally, an LCA is inferred by the rooting of a fully resolved species tree. From a theoretical perspective, however, inference of the LCA amounts to the reconstruction of just one branch—the root branch—of the true species tree and should therefore be a much easier task than the full resolution of the species tree. Discarding the reliance on a hypothesized species tree and its rooting leads us to reevaluate what phylogenetic signal is directly relevant to LCA inference and to recast the task as that of sampling the total evidence from all gene families at the genomic scope. Here, we reformulate LCA and root inference in the framework of statistical hypothesis testing and outline an analytical procedure to formally test competing a priori LCA hypotheses and to infer confidence sets for the earliest speciation events in the history of a group of species. Applying our methods to two demonstrative data sets, we show that our inference of the opisthokonta LCA is well in agreement with the common knowledge. Inference of the proteobacteria LCA shows that it is most closely related to modern Epsilonproteobacteria, raising the possibility that it may have been characterized by a chemolithoautotrophic and anaerobic life style. Our inference is based on data comprising between 43% (opisthokonta) and 86% (proteobacteria) of all gene families. Approaching LCA inference within a statistical framework renders the phylogenomic inference powerful and robust.
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spelling pubmed-102629642023-06-15 Phylogenomic Testing of Root Hypotheses Tria, Fernando D K Landan, Giddy Picazo, Devani Romero Dagan, Tal Genome Biol Evol Article The determination of the last common ancestor (LCA) of a group of species plays a vital role in evolutionary theory. Traditionally, an LCA is inferred by the rooting of a fully resolved species tree. From a theoretical perspective, however, inference of the LCA amounts to the reconstruction of just one branch—the root branch—of the true species tree and should therefore be a much easier task than the full resolution of the species tree. Discarding the reliance on a hypothesized species tree and its rooting leads us to reevaluate what phylogenetic signal is directly relevant to LCA inference and to recast the task as that of sampling the total evidence from all gene families at the genomic scope. Here, we reformulate LCA and root inference in the framework of statistical hypothesis testing and outline an analytical procedure to formally test competing a priori LCA hypotheses and to infer confidence sets for the earliest speciation events in the history of a group of species. Applying our methods to two demonstrative data sets, we show that our inference of the opisthokonta LCA is well in agreement with the common knowledge. Inference of the proteobacteria LCA shows that it is most closely related to modern Epsilonproteobacteria, raising the possibility that it may have been characterized by a chemolithoautotrophic and anaerobic life style. Our inference is based on data comprising between 43% (opisthokonta) and 86% (proteobacteria) of all gene families. Approaching LCA inference within a statistical framework renders the phylogenomic inference powerful and robust. Oxford University Press 2023-05-29 /pmc/articles/PMC10262964/ /pubmed/37247390 http://dx.doi.org/10.1093/gbe/evad096 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-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 Article
Tria, Fernando D K
Landan, Giddy
Picazo, Devani Romero
Dagan, Tal
Phylogenomic Testing of Root Hypotheses
title Phylogenomic Testing of Root Hypotheses
title_full Phylogenomic Testing of Root Hypotheses
title_fullStr Phylogenomic Testing of Root Hypotheses
title_full_unstemmed Phylogenomic Testing of Root Hypotheses
title_short Phylogenomic Testing of Root Hypotheses
title_sort phylogenomic testing of root hypotheses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262964/
https://www.ncbi.nlm.nih.gov/pubmed/37247390
http://dx.doi.org/10.1093/gbe/evad096
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