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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 ORCID iD icon 1; Wahl, Noah A.; Woodcroft, Ben J.; Soo, Rochelle M.; Eme, Laura; Sheridan, Paul O.; Gubry-Rangin, Cecile; Spang, Anja; Hugenholtz, Philip; Szöllősi, Gergely J.
1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000173538
Veröffentlicht am 07.10.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 08.01.2024
Sprache Englisch
Identifikator ISSN: 1751-7362, 1751-7370
KITopen-ID: 1000173538
Erschienen in The ISME Journal
Verlag Springer Nature [academic journals on nature.com]
Band 18
Heft 1
Seiten Art.-Nr.: wrae129
Nachgewiesen in Dimensions
Web of Science
Scopus
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