Evidence map›Paper›PMID 25977458›Full record

ArticleGenome biology and evolution2015

Analysis of Five Gene Sets in Chimpanzees Suggests Decoupling between the Action of Selection on Protein-Coding and on Noncoding Elements.

Gabriel Santpere, Elena Carnero-Montoro, Natalia Petit, François Serra, Christina Hvilsom, Jordi Rambla, Jose Maria Heredia-Genestar, Daniel L Halligan, Hernan Dopazo, Arcadi Navarro and 1 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

11 authors.

Gabriel SantpereDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain.
Elena Carnero-MontoroDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain.
Natalia PetitDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain.
François SerraStructural Genomics Team, Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain.
Christina HvilsomResearch and Conservation, Copenhagen Zoo, Frederiksberg, Denmark.
Jordi RamblaDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain.
Jose Maria Heredia-GenestarDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain.
Daniel L HalliganInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Hernan DopazoBiomedical Genomics & Evolution Laboratory, Departamento de Ecología, Genética y Evolución, IEGEBA (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina.
Arcadi NavarroDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain National Institute for Bioinformatics (INB), PRBB, Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), PRBB, Barcelona, Spain Center for Genomic Regulation (CRG), PRBB, Barcelona, Spain arcadi.navarro@upf.edu elena.bosch@upf.edu.
Elena BoschDepartament de Ciències Experimentals i la Salut, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Barcelona, Spain arcadi.navarro@upf.edu elena.bosch@upf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We set out to investigate potential differences and similarities between the selective forces acting upon the coding and noncoding regions of five different sets of genes defined according to functional and evolutionary criteria: 1) two reference gene sets presenting accelerated and slow rates of protein evolution (the Complement and Actin pathways); 2) a set of genes with evidence of accelerated evolution in at least one of their introns; and 3) two gene sets related to neurological function (Parkinson's and Alzheimer's diseases). To that effect, we combine human-chimpanzee divergence patterns with polymorphism data obtained from target resequencing 20 central chimpanzees, our closest relatives with largest long-term effective population size. By using the distribution of fitness effect-alpha extension of the McDonald-Kreitman test, we reproduce inferences of rates of evolution previously based only on divergence data on both coding and intronic sequences and also obtain inferences for other classes of genomic elements (untranslated regions, promoters, and conserved noncoding sequences). Our results suggest that 1) the distribution of fitness effect-alpha method successfully helps distinguishing different scenarios of accelerated divergence (adaptation or relaxed selective constraints) and 2) the adaptive history of coding and noncoding sequences within the gene sets analyzed is decoupled.

Indexed as

Evolution, MolecularSelection, GeneticActinsAnimalsComplement System ProteinsGenesHumansIntronsMutationOpen Reading FramesPan troglodytesPolymorphism, Single NucleotidePromoter Regions, GeneticUntranslated RegionsActinsComplement System ProteinsUntranslated RegionsAlzheimerbiochemical pathwayschimpanzeedistribution of fitness effectsfraction of adaptive substitution (α) and adaptive substitution rate (ωα)natural selectionParkinson

Identifiers

PMID25977458
PMCPMC4494068

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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.