Evidence map›Paper›PMID 33822172›Full record

ArticleMolecular biology and evolution2021

Ten Years of Collaborative Progress in the Quest for Orthologs.

Benjamin Linard, Ingo Ebersberger, Shawn E McGlynn, Natasha Glover, Tomohiro Mochizuki, Mateus Patricio, Odile Lecompte, Yannis Nevers, Paul D Thomas, Toni Gabaldón and 4 more

Abstract readConference Proceedings
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
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  6. Functional assays inGenome research · 2025
    Review
  7. Article
  8. Article
  9. Article
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  11. Review
  12. Article
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  16. Article
  17. Protein-Coding Gene Families in Prokaryote Genome Comparisons.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Benjamin LinardLIRMM, University of Montpellier, CNRS, Montpellier, France.ORCID 0000-0002-5555-898X
Ingo EbersbergerInstitute of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt, Germany.
Shawn E McGlynnEarth-Life Science Institute, Tokyo Institute of Technology, Meguro, Tokyo, Japan.ORCID 0000-0002-8199-7011
Natasha GloverSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Tomohiro MochizukiEarth-Life Science Institute, Tokyo Institute of Technology, Meguro, Tokyo, Japan.
Mateus PatricioEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Odile LecompteDepartment of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France.
Yannis NeversSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Paul D ThomasDivision of Bioinformatics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Toni GabaldónBarcelona Supercomputing Centre (BCS-CNS), Jordi Girona, Barcelona, Spain.
Erik SonnhammerScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
Christophe DessimozSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Ikuo UchiyamaDepartment of Theoretical Biology, National Institute for Basic Biology, National Institutes of Natural Sciences, Okazaki, Aichi, Japan.
QFO Consortium

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHERRY, J. MICHAEL, MUNGALL, CHRISTOPHER J · 2012 to 2021
$34.7M
NHGRI NIH HHS U41 HG002273Wellcome TrustWellcome Trust 108749/Z/15/Z
6 · The paper itself

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.

Indexed as

Genetic SpeciationPhylogenyGenome, ViralGenomicsgene modelsorthologyparalogyphylogenetic profilingvirusesxenology

Identifiers

PMID33822172
PMCPMC8321534

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.