OMA orthology in 2021: website overhaul, conserved isoforms, ancestral gene order and more

Author:

Altenhoff Adrian M12,Train Clément-Marie3,Gilbert Kimberly J134,Mediratta Ishita35,Mendes de Farias Tarcisio1,Moi David134,Nevers Yannis134,Radoykova Hale-Seda67,Rossier Victor134,Warwick Vesztrocy Alex134,Glover Natasha M134,Dessimoz Christophe13467ORCID

Affiliation:

1. SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland

2. ETH Zurich, Computer Science, Universitätstr. 6, 8092 Zurich, Switzerland

3. Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland

4. Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland

5. Department of Computer Science and Information Systems, BITS Pilani K.K. Birla Goa Campus, India

6. Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, Gower St, London WC1E 6BT, United Kingdom

7. Department of Computer Science, University College London, Gower St, London WC1E 6BT, United Kingdom

Abstract

Abstract OMA is an established resource to elucidate evolutionary relationships among genes from currently 2326 genomes covering all domains of life. OMA provides pairwise and groupwise orthologs, functional annotations, local and global gene order conservation (synteny) information, among many other functions. This update paper describes the reorganisation of the database into gene-, group- and genome-centric pages. Other new and improved features are detailed, such as reporting of the evolutionarily best conserved isoforms of alternatively spliced genes, the inferred local order of ancestral genes, phylogenetic profiling, better cross-references, fast genome mapping, semantic data sharing via RDF, as well as a special coronavirus OMA with 119 viruses from the Nidovirales order, including SARS-CoV-2, the agent of the COVID-19 pandemic. We conclude with improvements to the documentation of the resource through primers, tutorials and short videos. OMA is accessible at https://omabrowser.org.

Funder

Swiss Institute of Bioinformatics

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference43 articles.

1. Distinguishing homologous from analogous proteins;Fitch;Syst. Zool.,1970

2. Advances and Applications in the Quest for Orthologs;Glover;Mol. Biol. Evol.,2019

3. OMA, a comprehensive, automated project for the identification of orthologs from complete genome data: introduction and first achievements;Dessimoz,2005

4. OMA 2011: orthology inference among 1000 complete genomes;Altenhoff;Nucleic Acids Res.,2011

5. The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements;Altenhoff;Nucleic Acids Res.,2015

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