Evidence map›Paper›PMID 25840415›Full record

ArticleGenome biology and evolution2015

Recent positive selection has acted on genes encoding proteins with more interactions within the whole human interactome.

Pierre Luisi, David Alvarez-Ponce, Marc Pybus, Mario A Fares, Jaume Bertranpetit, Hafid Laayouni

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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Ancient RNA virus epidemics through the lens of recent adaptation in human genomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Pierre LuisiInstitute of Evolutionary Biology, Universitat Pompeu Fabra-CSIC, CEXS-UPF-PRBB, Barcelona, Catalonia, Spain jaume.bertranpetit@upf.edu hafid.laayouni@upf.edu.
David Alvarez-PonceIntegrative Systems Biology Group, Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas (CSIC)-Universidad Politécnica de Valencia (UPV), Spain Biology Department, University of Nevada, Reno Institute of Evolutionary Biology, Universitat Pompeu Fabra-CSIC, CEXS-UPF-PRBB, Barcelona, Catalonia, Spain jaume.bertranpetit@upf.edu hafid.laayouni@upf.edu.
Marc PybusInstitute of Evolutionary Biology, Universitat Pompeu Fabra-CSIC, CEXS-UPF-PRBB, Barcelona, Catalonia, Spain.
Mario A FaresIntegrative Systems Biology Group, Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas (CSIC)-Universidad Politécnica de Valencia (UPV), Spain Smurfit Institute of Genetics, University of Dublin, Trinity College, Ireland.
Jaume BertranpetitInstitute of Evolutionary Biology, Universitat Pompeu Fabra-CSIC, CEXS-UPF-PRBB, Barcelona, Catalonia, Spain jaume.bertranpetit@upf.edu hafid.laayouni@upf.edu.
Hafid LaayouniInstitute of Evolutionary Biology, Universitat Pompeu Fabra-CSIC, CEXS-UPF-PRBB, Barcelona, Catalonia, Spain Departament de Genètica i de Microbiologia, Grup de Biologia Evolutiva (GBE), Universitat Autonòma de Barcelona, Bellaterra, Spain jaume.bertranpetit@upf.edu hafid.laayouni@upf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes vary in their likelihood to undergo adaptive evolution. The genomic factors that determine adaptability, however, remain poorly understood. Genes function in the context of molecular networks, with some occupying more important positions than others and thus being likely to be under stronger selective pressures. However, how positive selection distributes across the different parts of molecular networks is still not fully understood. Here, we inferred positive selection using comparative genomics and population genetics approaches through the comparison of 10 mammalian and 270 human genomes, respectively. In agreement with previous results, we found that genes with lower network centralities are more likely to evolve under positive selection (as inferred from divergence data). Surprisingly, polymorphism data yield results in the opposite direction than divergence data: Genes with higher centralities are more likely to have been targeted by recent positive selection during recent human evolution. Our results indicate that the relationship between centrality and the impact of adaptive evolution highly depends on the mode of positive selection and/or the evolutionary time-scale.

Indexed as

Evolution, MolecularSelection, GeneticAnimalsGenesGenes, EssentialGenome, HumanHumansPolymorphism, GeneticProtein Interaction MappingProteinsProteinshumansmammalsnatural selectionphysical protein interactionpositive selectionprotein interaction network

Identifiers

PMID25840415
PMCPMC4419801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.