The Role of Homology and Orthology in the Phylogenomic Analysis of Metazoan Gene Content

Author:

Pett Walker1,Adamski Marcin2,Adamska Maja2,Francis Warren R3,Eitel Michael3,Pisani Davide45,Wörheide Gert36

Affiliation:

1. Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA

2. Computational Biology and Bioinformatics Unit, Research School of Biology, The Australian National University, Canberra, Australia

3. Department of Earth & Environmental Sciences & GeoBio-Center, Ludwig-Maximilians-Universität München, Munich, Germany

4. School of Earth Sciences, University of Bristol, Bristol, United Kingdom

5. School of Biological Sciences, University of Bristol, Bristol, United Kingdom

6. SNSB—Bayerische Staatssammlung für Paläontologie und Geologie, München, Germany

Abstract

Abstract Resolving the relationships of animals (Metazoa) is crucial to our understanding of the origin of key traits such as muscles, guts, and nerves. However, a broadly accepted metazoan consensus phylogeny has yet to emerge. In part, this is because the genomes of deeply diverging and fast-evolving lineages may undergo significant gene turnover, reducing the number of orthologs shared with related phyla. This can limit the usefulness of traditional phylogenetic methods that rely on alignments of orthologous sequences. Phylogenetic analysis of gene content has the potential to circumvent this orthology requirement, with binary presence/absence of homologous gene families representing a source of phylogenetically informative characters. Applying binary substitution models to the gene content of 26 complete animal genomes, we demonstrate that patterns of gene conservation differ markedly depending on whether gene families are defined by orthology or homology, that is, whether paralogs are excluded or included. We conclude that the placement of some deeply diverging lineages may exceed the limit of resolution afforded by the current methods based on comparisons of orthologous protein sequences, and novel approaches are required to fully capture the evolutionary signal from genes within genomes.

Funder

French National Research Agency

National Science Foundation

NERC BETR

LMU Munich’s Institutional Strategy LMUexcellent

German Research Foundation

European Union’s Horizon

Marie Skłodowska-Curie

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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