Evidence map›Paper›PMID 28082609›Full record

ArticleGenome biology and evolution2017

Variation in the Intensity of Selection on Codon Bias over Time Causes Contrasting Patterns of Base Composition Evolution in Drosophila.

Benjamin C Jackson, José L Campos, Penelope R Haddrill, Brian Charlesworth, Kai Zeng

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Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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28citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
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  4. Dinucleotide preferences underlie apparent codon preference reversals in theProceedings of the National Academy of Sciences of the United States of America · 2025
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  9. How Can We Resolve Lewontin's Paradox?Genome biology and evolution · 2022
    Article
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  18. Population Genomics on the Fly: Recent Advances in Drosophila.Methods in molecular biology (Clifton, N.J.) · 2020
    Review
  19. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Benjamin C JacksonDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom.
José L CamposInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Penelope R HaddrillCentre for Forensic Science, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, United Kingdom.
Brian CharlesworthInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Kai ZengDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/H006028/1
6 · The paper itself

Abstract

Four-fold degenerate coding sites form a major component of the genome, and are often used to make inferences about selection and demography, so that understanding their evolution is important. Despite previous efforts, many questions regarding the causes of base composition changes at these sites in Drosophila remain unanswered. To shed further light on this issue, we obtained a new whole-genome polymorphism data set from D. simulans. We analyzed samples from the putatively ancestral range of D. simulans, as well as an existing polymorphism data set from an African population of D. melanogaster. By using D. yakuba as an outgroup, we found clear evidence for selection on 4-fold sites along both lineages over a substantial period, with the intensity of selection increasing with GC content. Based on an explicit model of base composition evolution, we suggest that the observed AT-biased substitution pattern in both lineages is probably due to an ancestral reduction in selection intensity, and is unlikely to be the result of an increase in mutational bias towards AT alone. By using two polymorphism-based methods for estimating selection coefficients over different timescales, we show that the selection intensity on codon usage has been rather stable in D. simulans in the recent past, but the long-term estimates in D. melanogaster are much higher than the short-term ones, indicating a continuing decline in selection intensity, to such an extent that the short-term estimates suggest that selection is only active in the most GC-rich parts of the genome. Finally, we provide evidence for complex evolutionary patterns in the putatively neutral short introns, which cannot be explained by the standard GC-biased gene conversion model. These results reveal a dynamic picture of base composition evolution.

Indexed as

Biological EvolutionCodonPolymorphism, Single NucleotideSelection, GeneticAnimalsBase CompositionDrosophilaGenome, InsectMutationSequence Analysis, DNACodoncodon usage biasDrosophilanonequilibrium behaviorselectionshort introns

Identifiers

PMID28082609
PMCPMC5381600

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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.