Evidence map›Paper›PMID 25474245›Full record

ArticlePLoS computational biology2014

Detecting functional divergence after gene duplication through evolutionary changes in posttranslational regulatory sequences.

Alex N Nguyen Ba, Bob Strome, Jun Jie Hua, Jonathan Desmond, Isabelle Gagnon-Arsenault, Eric L Weiss, Christian R Landry, Alan M Moses

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

30 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. The fitness cost of spurious phosphorylation.bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Evolution of intrinsic disorder in eukaryotic proteins.Cellular and molecular life sciences : CMLS · 2017
    Review
  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

8 authors at 3 institutions in 2 countries.

Alex N Nguyen BaDepartment of Cell & Systems Biology, University of Toronto, Toronto, Canada; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Canada.
Bob StromeDepartment of Cell & Systems Biology, University of Toronto, Toronto, Canada.
Jun Jie HuaDepartment of Cell & Systems Biology, University of Toronto, Toronto, Canada.
Jonathan DesmondDepartment of Cell & Systems Biology, University of Toronto, Toronto, Canada.
Isabelle Gagnon-ArsenaultDépartement de Biologie, IBIS and PROTEO, Pavillon Charles-Eugene-Marchand, Laval University, Québec City, Canada.
Eric L WeissDepartment of Molecular Biosciences, Northwestern University, Evanston, Illinois, United States of America.
Christian R LandryDépartement de Biologie, IBIS and PROTEO, Pavillon Charles-Eugene-Marchand, Laval University, Québec City, Canada.
Alan M MosesDepartment of Cell & Systems Biology, University of Toronto, Toronto, Canada; Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Canada.
University of Toronto · CAUniversité Laval · CANorthwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
Canadian Institutes of Health Research GMX-191597Canadian Institutes of Health Research MOP-119579NCI NIH HHS P30 CA060553
6 · The paper itself

Abstract

Gene duplication is an important evolutionary mechanism that can result in functional divergence in paralogs due to neo-functionalization or sub-functionalization. Consistent with functional divergence after gene duplication, recent studies have shown accelerated evolution in retained paralogs. However, little is known in general about the impact of this accelerated evolution on the molecular functions of retained paralogs. For example, do new functions typically involve changes in enzymatic activities, or changes in protein regulation? Here we study the evolution of posttranslational regulation by examining the evolution of important regulatory sequences (short linear motifs) in retained duplicates created by the whole-genome duplication in budding yeast. To do so, we identified short linear motifs whose evolutionary constraint has relaxed after gene duplication with a likelihood-ratio test that can account for heterogeneity in the evolutionary process by using a non-central chi-squared null distribution. We find that short linear motifs are more likely to show changes in evolutionary constraints in retained duplicates compared to single-copy genes. We examine changes in constraints on known regulatory sequences and show that for the Rck1/Rck2, Fkh1/Fkh2, Ace2/Swi5 paralogs, they are associated with previously characterized differences in posttranslational regulation. Finally, we experimentally confirm our prediction that for the Ace2/Swi5 paralogs, Cbk1 regulated localization was lost along the lineage leading to SWI5 after gene duplication. Our analysis suggests that changes in posttranslational regulation mediated by short regulatory motifs systematically contribute to functional divergence after gene duplication.

Indexed as

Models, GeneticAmino Acid SequenceBase SequenceComputational BiologyComputer SimulationEvolution, MolecularGene DuplicationMolecular Sequence DataProtein Processing, Post-TranslationalRegulatory Sequences, Nucleic AcidSaccharomycetalesSequence AlignmentSequence Analysis, DNA

Identifiers

PMID25474245
PMCPMC4256066
OpenAlexW2009414370

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.