Evidence map›Paper›PMID 25062920›Full record

ArticleGenome biology and evolution2014

Highly variable recombinational landscape modulates efficacy of natural selection in birds.

Toni I Gossmann, Anna W Santure, Ben C Sheldon, Jon Slate, Kai Zeng

Abstract read
In one paragraph

Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. A region of suppressed recombination misleads neoavian phylogenomics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

5 authors.

Toni I GossmannDepartment of Animal and Plant Sciences, University of Sheffield, United Kingdom toni.gossmann@googlemail.com k.zeng@sheffield.ac.uk.
Anna W SantureDepartment of Animal and Plant Sciences, University of Sheffield, United KingdomSchool of Biological Sciences, University of Auckland, New Zealand.
Ben C SheldonEdward Grey Institute, Department of Zoology, University of Oxford, United Kingdom.
Jon SlateDepartment of Animal and Plant Sciences, University of Sheffield, United Kingdom.
Kai ZengDepartment of Animal and Plant Sciences, University of Sheffield, United Kingdom toni.gossmann@googlemail.com k.zeng@sheffield.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/K000209/1
6 · The paper itself

Abstract

Determining the rate of protein evolution and identifying the causes of its variation across the genome are powerful ways to understand forces that are important for genome evolution. By using a multitissue transcriptome data set from great tit (Parus major), we analyzed patterns of molecular evolution between two passerine birds, great tit and zebra finch (Taeniopygia guttata), using the chicken genome (Gallus gallus) as an outgroup. We investigated whether a special feature of avian genomes, the highly variable recombinational landscape, modulates the efficacy of natural selection through the effects of Hill-Robertson interference, which predicts that selection should be more effective in removing deleterious mutations and incorporating beneficial mutations in high-recombination regions than in low-recombination regions. In agreement with these predictions, genes located in low-recombination regions tend to have a high proportion of neutrally evolving sites and relaxed selective constraint on sites subject to purifying selection, whereas genes that show strong support for past episodes of positive selection appear disproportionally in high-recombination regions. There is also evidence that genes located in high-recombination regions tend to have higher gene expression specificity than those located in low-recombination regions. Furthermore, more compact genes (i.e., those with fewer/shorter introns or shorter proteins) evolve faster than less compact ones. In sum, our results demonstrate that transcriptome sequencing is a powerful method to answer fundamental questions about genome evolution in nonmodel organisms.

Indexed as

Evolution, MolecularRecombination, GeneticSelection, GeneticAnimalsChickensFinchesGenomePasseriformesPhylogenyTranscriptomeHill–Robertson interference (HRI)natural selectionprotein evolutionrecombinationRNAseqtissue specificity in gene expression

Identifiers

PMID25062920
PMCPMC4231635

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.