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Phylogenetic reconciliation: making the most of genomes to understand microbial ecology and evolution.
Williams, Tom A; Davin, Adrian A; Szánthó, Lénárd L; Stamatakis, Alexandros; Wahl, Noah A; Woodcroft, Ben J; Soo, Rochelle M; Eme, Laura; Sheridan, Paul O; Gubry-Rangin, Cecile; Spang, Anja; Hugenholtz, Philip; Szöllosi, Gergely J.
Afiliación
  • Williams TA; School of Biological Sciences, University of Bristol, Bristol BS81TQ, United Kingdom.
  • Davin AA; Department of Biological Sciences, Graduate School of Science, The University of Tokyo.
  • Szánthó LL; MTA-ELTE "Lendület" Evolutionary Genomics Research Group, 1117 Budapest, Hungary.
  • Stamatakis A; Model-Based Evolutionary Genomics Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.
  • Wahl NA; Biodiversity Computing Group, Institute of Computer Science, Foundation for Research and Technology Hellas, 70013, Heraklion, Greece.
  • Woodcroft BJ; Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118, Heidelberg, Germany.
  • Soo RM; Institute for Theoretical Informatics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
  • Eme L; Biodiversity Computing Group, Institute of Computer Science, Foundation for Research and Technology Hellas, 70013, Heraklion, Greece.
  • Sheridan PO; Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute, Woolloongabba, 4102, Australia.
  • Gubry-Rangin C; Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
  • Spang A; Unité d'Ecologie, Systématique et Evolution, Université Paris-Saclay, France.
  • Hugenholtz P; School of Biological and Chemical Sciences, University of Galway, Galway, Ireland.
  • Szöllosi GJ; School of Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom.
ISME J ; 2024 Jul 13.
Article en En | MEDLINE | ID: mdl-39001714
ABSTRACT
In recent years, phylogenetic reconciliation has emerged as a promising approach for studying microbial ecology and evolution. The core idea is to model how gene trees evolve along a species tree, and to explain differences between them via evolutionary events including gene duplications, transfers, and losses. Here, we describe how phylogenetic reconciliation provides a natural framework for studying genome evolution, and highlight recent applications including ancestral gene content inference, the rooting of species trees, and the insights into metabolic evolution and ecological transitions they yield. Reconciliation analyses have elucidated the evolution of diverse microbial lineages, from Chlamydiae to Asgard archaea, shedding light on ecological adaptation, host-microbe interactions, and symbiotic relationships. However, there are many opportunities for broader application of the approach in microbiology. Continuing improvements to make reconciliation models more realistic and scalable, and integration of ecological metadata such as habitat, pH, temperature and oxygen use, offer enormous potential for understanding the rich tapestry of microbial life.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ISME J Asunto de la revista: MICROBIOLOGIA / SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ISME J Asunto de la revista: MICROBIOLOGIA / SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido