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Genome-wide interrogation advances resolution of recalcitrant groups in the tree of life
Journal article   Open access   Peer reviewed

Genome-wide interrogation advances resolution of recalcitrant groups in the tree of life

Dahiana Arcila, Guillermo Orti, Richard Vari, Jonathan W. Armbruster, Melanie L. J. Stiassny, Kyung D. Ko, Mark H. Sabaj, John Lundberg, Liam J. Revell and Ricardo Betancur-R
Nature ecology & evolution, v 1(2), pp 20-20
01 Feb 2017
PMID: 28812610
url
https://doi.org/10.1111/dth.14185View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Ecology Environmental Sciences & Ecology Evolutionary Biology Life Sciences & Biomedicine Science & Technology
Much progress has been achieved in disentangling evolutionary relationships among species in the tree of life, but some taxonomic groups remain difficult to resolve despite increasing availability of genome-scale data sets. Here we present a practical approach to studying ancient divergences in the face of high levels of conflict, based on explicit gene genealogy interrogation (GGI). We show its efficacy in resolving the controversial relationships within the largest freshwater fish radiation (Otophysi) based on newly generated DNA sequences for 1,051 loci from 225 species. Initial results using a suite of standard methodologies revealed conflicting phylogenetic signal, which supports ten alternative evolutionary histories among early otophysan lineages. By contrast, GGI revealed that the vast majority of gene genealogies supports a single tree topology grounded on morphology that was not obtained by previous molecular studies. We also reanalysed published data sets for exemplary groups with recalcitrant resolution to assess the power of this approach. GGI supports the notion that ctenophores are the earliest-branching animal lineage, and adds insight into relationships within clades of yeasts, birds and mammals. GGI opens up a promising avenue to account for incompatible signals in large data sets and to discern between estimation error and actual biological conflict explaining gene tree discordance.

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Collaboration types
Domestic collaboration
Web of Science research areas
Ecology
Evolutionary Biology
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