Ten Years of Collaborative Progress in the Quest for Orthologs

Author:

Linard Benjamin12ORCID,Ebersberger Ingo345,McGlynn Shawn E67ORCID,Glover Natasha8910,Mochizuki Tomohiro6,Patricio Mateus11,Lecompte Odile12,Nevers Yannis8910,Thomas Paul D13,Gabaldón Toni141516,Sonnhammer Erik17,Dessimoz Christophe89101819,Uchiyama Ikuo20,Altenhoff Adrian,Ouangraoua Aida,Vesztrocy Alex Warwick,Linard Benjamin,Dessimoz Christophe,Szklarczyk Damian,Durand Dannie,Emms David,Moi David,Thybert David,Sonnhammer Erik,Kriventseva Evgenia,Tang Haiming,Chiba Hirokazu,Uchiyama Ikuo,Ebersberger Ingo,Huerta-Cepas Jaime,Fernandez-Breis Jesualdo Tomas,Blake Judith A,Pryszcz Leszek,Martin Maria-Jesus,Houben Marina Marcet,Patricio Mateus,Muffato Matthieu,Glover Natasha,Lecompte Odile,Thomas Paul D,Schiffer Philipp,Capella-Gutierrez Salvador,Cosentino Salvatore,McGlynn Shawn E,Kuraku Shigehiro,Forslund Sofia,Kelly Steven,Lewis Suzanna,Jones Tamsin,de Farias Tarcisio Mendes,Maeda Taro,Gabaldon Toni,Iwasaki Wataru,Pearson William,Wang Yan,Nevers Yannis,Hara Yuichiro,

Affiliation:

1. LIRMM, University of Montpellier, CNRS, Montpellier, France

2. SPYGEN, Le Bourget-du-Lac, France

3. Institute of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt, Germany

4. Senckenberg Biodiversity and Climate Research Centre (S-BIKF), Frankfurt, Germany

5. LOEWE Center for Translational Biodiversity Genomics (TBG), Frankfurt, Germany

6. Earth-Life Science Institute, Tokyo Institute of Technology, Meguro, Tokyo, Japan

7. Blue Marble Space Institute of Science, Seattle, WA, USA

8. Swiss Institute of Bioinformatics, Lausanne, Switzerland

9. Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland

10. Department of Computational Biology, University of Lausanne, Lausanne, Switzerland

11. European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom

12. Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France

13. Division of Bioinformatics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA

14. Barcelona Supercomputing Centre (BCS-CNS), Jordi Girona, Barcelona, Spain

15. Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain

16. Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain

17. Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden

18. Department of Computer Science, University College London, London, United Kingdom

19. Department of Genetics, Evolution and Environment, University College London, London, United Kingdom

20. Department of Theoretical Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan

Abstract

Abstract Accurate determination of the evolutionary relationships between genes is a foundational challenge in biology. Homology—evolutionary relatedness—is in many cases readily determined based on sequence similarity analysis. By contrast, whether or not two genes directly descended from a common ancestor by a speciation event (orthologs) or duplication event (paralogs) is more challenging, yet provides critical information on the history of a gene. Since 2009, this task has been the focus of the Quest for Orthologs (QFO) Consortium. The sixth QFO meeting took place in Okazaki, Japan in conjunction with the 67th National Institute for Basic Biology conference. Here, we report recent advances, applications, and oncoming challenges that were discussed during the conference. Steady progress has been made toward standardization and scalability of new and existing tools. A feature of the conference was the presentation of a panel of accessible tools for phylogenetic profiling and several developments to bring orthology beyond the gene unit—from domains to networks. This meeting brought into light several challenges to come: leveraging orthology computations to get the most of the incoming avalanche of genomic data, integrating orthology from domain to biological network levels, building better gene models, and adapting orthology approaches to the broad evolutionary and genomic diversity recognized in different forms of life and viruses.

Funder

Swiss Institute of Bioinformatics

Swiss National Science Foundation

French government

NSF

KAKENHI

Wellcome Trust

European Molecular Biology Laboratory

National Human Genome Research Institute

National Institutes of Health

National Science Foundation

Japan Society for the Promotion of Science

Publisher

Oxford University Press (OUP)

Subject

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

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