Evidence map›Paper›PMID 26494843›Full record

ArticleMolecular biology and evolution2016

Adaptive Evolution Is Substantially Impeded by Hill-Robertson Interference in Drosophila.

David Castellano, Marta Coronado-Zamora, Jose L Campos, Antonio Barbadilla, Adam Eyre-Walker

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 89 citations in OpenAlex.

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  9. Quantifying the fraction of new mutations that are recessive lethal.Evolution; international journal of organic evolution · 2023
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  16. Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

5 authors at 2 institutions in 1 country.

David CastellanoGenomics, Bioinformatics and Evolution Group, Institut de Biotecnologia i de Biomedicina (IBB) and Department de Genètica i Microbiologia, Campus Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain castellanoed@runbox.com a.c.eyre-walker@sussex.ac.uk.
Marta Coronado-ZamoraGenomics, Bioinformatics and Evolution Group, Institut de Biotecnologia i de Biomedicina (IBB) and Department de Genètica i Microbiologia, Campus Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Jose L CamposInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Antonio BarbadillaGenomics, Bioinformatics and Evolution Group, Institut de Biotecnologia i de Biomedicina (IBB) and Department de Genètica i Microbiologia, Campus Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Adam Eyre-WalkerCentre for the Study of Evolution, School of Life Sciences, University of Sussex, Brighton, United Kingdom castellanoed@runbox.com a.c.eyre-walker@sussex.ac.uk.
University of Edinburgh · GBUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hill-Robertson interference (HRi) is expected to reduce the efficiency of natural selection when two or more linked selected sites do not segregate freely, but no attempt has been done so far to quantify the overall impact of HRi on the rate of adaptive evolution for any given genome. In this work, we estimate how much HRi impedes the rate of adaptive evolution in the coding genome of Drosophila melanogaster. We compiled a data set of 6,141 autosomal protein-coding genes from Drosophila, from which polymorphism levels in D. melanogaster and divergence out to D. yakuba were estimated. The rate of adaptive evolution was calculated using a derivative of the McDonald-Kreitman test that controls for slightly deleterious mutations. We find that the rate of adaptive amino acid substitution at a given position of the genome is positively correlated to both the rate of recombination and the mutation rate, and negatively correlated to the gene density of the region. These correlations are robust to controlling for each other, for synonymous codon bias and for gene functions related to immune response and testes. We show that HRi diminishes the rate of adaptive evolution by approximately 27%. Interestingly, genes with low mutation rates embedded in gene poor regions lose approximately 17% of their adaptive substitutions whereas genes with high mutation rates embedded in gene rich regions lose approximately 60%. We conclude that HRi hampers the rate of adaptive evolution in Drosophila and that the variation in recombination, mutation, and gene density along the genome affects the HRi effect.

Indexed as

Adaptation, BiologicalBiological EvolutionSelection, GeneticAnimalsDrosophilaDrosophila melanogasterGenome, InsectModels, GeneticMutationOpen Reading FramesPolymorphism, GeneticRecombination, GeneticadaptationDrosophilagene densityHill–Robertsonmutationrecombination

Identifiers

PMID26494843
PMCPMC4794616
OpenAlexW1766190701

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Textmetadata
LicenceCC BY
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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.