Evidence map›Paper›PMID 20231333›Full record

ArticleMolecular biology and evolution2010

Detecting positive and purifying selection at synonymous sites in yeast and worm.

Tong Zhou, Wanjun Gu, Claus O Wilke

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

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39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Synonymous edits in theProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Decoding the effects of synonymous variants.Nucleic acids research · 2021
    Article
  8. Article
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  10. Article
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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

3 authors.

Tong ZhouCenter for Computational Biology and Bioinformatics, University of Texas at Austin, TX, USA.
Wanjun Gu
Claus O Wilke

Funding

The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
Determinants of RNA virus evolutionR01AI065960 · NIAID · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI NOVELLA, ISABEL S · 2005 to 2009
$1.7M
NIAID NIH HHS R01 AI065960NIGMS NIH HHS R01 GM088344
6 · The paper itself

Abstract

We present a new computational method to identify positive and purifying selection at synonymous sites in yeast and worm. We define synonymous substitutions that change codons from preferred to unpreferred or vice versa as nonconservative synonymous substitutions and all other substitutions as conservative. Using a maximum-likelihood framework, we then test whether conservative and nonconservative synonymous substitutions occur at equal rates. Our approach replaces the standard rate of synonymous substitutions per synonymous site, dS, with two new rates, the conservative synonymous substitution rate (dS(C)) and the nonconservative synonymous substitution rate (dS(N)). Based on the ratio dS(N)/dS(C), we find that 0.05% of all yeast genes and none of worm genes show evidence of positive selection at synonymous sites (dS(N)/dS(C) > 1). On the other hand, 9.44% of all yeast genes and 5.12% of all worm genes show evidence of significant purifying selection on synonymous sites (dS(N)/dS(C) < 1). We also find that dS(N) correlates strongly with gene expression level, whereas the correlation between expression level and dS(C) is very weak. Thus, dS(N) captures most of the signal of selection for translational accuracy and speed, whereas dS(C) is not strongly influenced by this selection pressure. We suggest that the ratio dN/dS(C) may be more appropriate than the ratio dN/dS to identify positive or purifying selection on amino acids.

Indexed as

Computer SimulationModels, GeneticSelection, GeneticAmino Acid SubstitutionAnimalsBiological EvolutionCaenorhabditis elegansCodonDrosophila melanogasterLikelihood FunctionsMarkov ChainsSaccharomyces cerevisiaeCodon

Identifiers

PMID20231333
PMCPMC2915641

What OpenQuestion holds

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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.