Evidence map›Paper›PMID 11139506›Full record

ArticleGenetics2001

Inferring parameters of mutation, selection and demography from patterns of synonymous site evolution in Drosophila.

G A McVean, J Vieira

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

71 citing papers in PubMed, 145 citations in OpenAlex.

  1. Article
  2. Estimating the evolutionary fitness of specific synonymous codon changes.bioRxiv : the preprint server for biology · 2026
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  5. Decoding the effects of synonymous variants.Nucleic acids research · 2021
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11 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

G A McVeanInstitute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom. g.mcvean@ed.ac.uk
J Vieira
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection acting on codon usage can cause patterns of synonymous evolution to deviate considerably from those expected under neutrality. To investigate the quantitative relationship between parameters of mutation, selection, and demography, and patterns of synonymous site divergence, we have developed a novel combination of population genetic models and likelihood methods of phylogenetic sequence analysis. Comparing 50 orthologous gene pairs from Drosophila melanogaster and D. virilis and 27 from D. melanogaster and D. simulans, we show considerable variation between amino acids and genes in the strength of selection acting on codon usage and find evidence for both long-term and short-term changes in the strength of selection between species. Remarkably, D. melanogaster shows no evidence of current selection on codon usage, while its sister species D. simulans experiences only half the selection pressure for codon usage of their common ancestor. We also find evidence for considerable base asymmetries in the rate of mutation, such that the average synonymous mutation rate is 20-30% higher than in noncoding regions. A Bayesian approach is adopted to investigate how accounting for selection on codon usage influences estimates of the parameters of mutation.

Indexed as

Evolution, MolecularMutationSelection, GeneticAnimalsBase CompositionCodonDrosophilaDrosophila melanogasterGene FrequencyGenes, InsectGenetics, PopulationLikelihood FunctionsModels, GeneticCodon

Identifiers

PMID11139506
PMCPMC1461462
OpenAlexW1956575226

What OpenQuestion holds

Textmetadata
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.