Evidence map›Paper›PMID 19620398›Full record

ArticleGenetics2009

Estimating selection intensity on synonymous codon usage in a nonequilibrium population.

Kai Zeng, Brian Charlesworth

Abstract read
In one paragraph

Article in Genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
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

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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Mutation rates and selection on synonymous mutations in SARS-CoV-2.bioRxiv : the preprint server for biology · 2021
    Article
  7. Article
  8. Population Genomics on the Fly: Recent Advances in Drosophila.Methods in molecular biology (Clifton, N.J.) · 2020
    Review
  9. Article
  10. Synonymous Codon Usages as an Evolutionary Dynamic forInternational journal of molecular sciences · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Kai ZengInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK. kai.zeng.cn@gmail.com
Brian Charlesworth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon usage bias is the nonrandom use of synonymous codons for the same amino acid. Most population genetic models of codon usage evolution assume that the population is at mutation-selection-drift equilibrium. Natural populations, however, frequently deviate from equilibrium, often because of recent demographic changes. Here, we construct a matrix model that includes the effects of a recent change in population size on estimates of selection on preferred vs. unpreferred codons. Our results suggest that patterns of synonymous polymorphisms affecting codon usage can be quite erratic after such a change; statistical methods that fail to take demographic effects into account can then give incorrect estimates of important parameters. We propose a new method that can accurately estimate both demographic and codon usage parameters. The method also provides a simple way of testing for the effects of covariates such as gene length and level of gene expression on the intensity of selection, which we apply to a large Drosophila melanogaster polymorphism data set. Our analyses of twofold degenerate codons reveal that (i) selection acts in favor of preferred codons, (ii) there is mutational bias in favor of unpreferred codons, (iii) shorter genes and genes with higher expression levels are under stronger selection, and (iv) there is little evidence for a recent change in population size in the Zimbabwe population of D. melanogaster.

Indexed as

Models, GeneticSelection, GeneticAlgorithmsAnimalsCodonDrosophila melanogasterEvolution, MolecularGenetics, PopulationMutationPolymorphism, GeneticPopulation DensityCodon

Identifiers

PMID19620398
PMCPMC2766324

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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.