Evidence map›Paper›PMID 24361994›Full record

ArticleMolecular biology and evolution2014

Differential strengths of positive selection revealed by hitchhiking effects at small physical scales in Drosophila melanogaster.

Yuh Chwen G Lee, Charles H Langley, David J Begun

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Natural Selection in the Great Apes.Molecular biology and evolution · 2016
    Article
  5. Article
  6. Article
  7. 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

3 authors.

Yuh Chwen G LeeDepartment of Evolution and Ecology and Center for Population Biology, University of California, Davis.
Charles H Langley
David J Begun

Funding

Drosophila Population GenomicsR01HG002942 · NHGRI · UNIVERSITY OF CALIFORNIA DAVIS · PI LANGLEY, CHARLES HUNT · 2004 to 2011
$8.2M
Genomic analysis of adaptation in DrosophilaR01GM084056 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BEGUN, DAVID J · 2009 to 2012
$1.2M
NHGRI NIH HHS HG02942NHGRI NIH HHS R01 HG002942NIGMS NIH HHS R01 GM084056
6 · The paper itself

Abstract

The long time scale of adaptive evolution makes it difficult to directly observe the spread of most beneficial mutations through natural populations. Therefore, inferring attributes of beneficial mutations by studying the genomic signals left by directional selection is an important component of population genetics research. One kind of signal is a trough in nearby neutral genetic variation due to selective fixation of initially rare alleles, a phenomenon known as "genetic hitchhiking." Accumulated evidence suggests that a considerable fraction of substitutions in the Drosophila genome results from positive selection, most of which are expected to have small selection coefficients and influence the population genetics of sites in the immediate vicinity. Using Drosophila melanogaster population genomic data, we found that the heterogeneity in synonymous polymorphism surrounding different categories of coding fixations is readily observable even within 25 bp of focal substitutions, which we interpret as the result of small-scale hitchhiking effects. The strength of natural selection on different sites appears to be quite heterogeneous. Particularly, neighboring fixations that changed amino acid polarities in a way that maintained the overall polarities of a protein were under stronger selection than other categories of fixations. Interestingly, we found that substitutions in slow-evolving genes are associated with stronger hitchhiking effects. This is consistent with the idea that adaptive evolution may involve few substitutions with large effects or many substitutions with small effects. Because our approach only weakly depends on the numbers of recent nonsynonymous substitutions, it can provide a complimentary view to the adaptive evolution inferred by other divergence-based evolutionary genetic methods.

Indexed as

Evolution, MolecularSelection, GeneticAmino Acid SubstitutionAnimalsDrosophila melanogasterDrosophila ProteinsGene OntologyModels, GeneticPolymorphism, GeneticRegression AnalysisDrosophila Proteinsadaptive evolutionDrosophila melanogastergenetic hitchhikingnatural selectionnatural variation

Identifiers

PMID24361994
PMCPMC4043186

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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.