Evidence map›Paper›PMID 21926095›Full record

ArticleGenome biology and evolution2011

Genomic determinants of protein evolution and polymorphism in Arabidopsis.

Tanja Slotte, Thomas Bataillon, Troels T Hansen, Kate St Onge, Stephen I Wright, Mikkel H Schierup

Abstract read
In one paragraph

Article in Genome biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

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.

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3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

  1. Review
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  5. Repeated global adaptation across plant species.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  16. Article
  17. The Genome ofFrontiers in plant science · 2020
    Article
  18. The Impact of Protein Architecture on Adaptive Evolution.Molecular biology and evolution · 2019
    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.

Tanja SlotteDepartment of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Sweden. tanja.slotte@ebc.uu.se
Thomas Bataillon
Troels T Hansen
Kate St Onge
Stephen I Wright
Mikkel H Schierup

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent results from Drosophila suggest that positive selection has a substantial impact on genomic patterns of polymorphism and divergence. However, species with smaller population sizes and/or stronger population structure may not be expected to exhibit Drosophila-like patterns of sequence variation. We test this prediction and identify determinants of levels of polymorphism and rates of protein evolution using genomic data from Arabidopsis thaliana and the recently sequenced Arabidopsis lyrata genome. We find that, in contrast to Drosophila, there is no negative relationship between nonsynonymous divergence and silent polymorphism at any spatial scale examined. Instead, synonymous divergence is a major predictor of silent polymorphism, which suggests variation in mutation rate as the main determinant of silent variation. Variation in rates of protein divergence is mainly correlated with gene expression level and breadth, consistent with results for a broad range of taxa, and map-based estimates of recombination rate are only weakly correlated with nonsynonymous divergence. Variation in mutation rates and the strength of purifying selection seem to be major drivers of patterns of polymorphism and divergence in Arabidopsis. Nevertheless, a model allowing for varying negative and positive selection by functional gene category explains the data better than a homogeneous model, implying the action of positive selection on a subset of genes. Genes involved in disease resistance and abiotic stress display high proportions of adaptive substitution. Our results are important for a general understanding of the determinants of rates of protein evolution and the impact of selection on patterns of polymorphism and divergence.

Indexed as

Biological EvolutionGenome, PlantPolymorphism, GeneticArabidopsisArabidopsis ProteinsCodonGenomicsArabidopsis ProteinsCodon

Identifiers

PMID21926095
PMCPMC3296466

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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.