Evidence map›Paper›PMID 20624723›Full record

ArticleGenome biology and evolution2010

Positive selection differs between protein secondary structure elements in Drosophila.

Kate E Ridout, Christopher J Dixon, Dmitry A Filatov

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology and evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 41 citations in OpenAlex.

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  16. Estimating empirical codon hidden Markov models.Molecular biology and evolution · 2013
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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

3 authors at 1 institution in 1 country.

Kate E RidoutDepartment of Plant Sciences, University of Oxford, Oxford, United Kingdom.
Christopher J Dixon
Dmitry A Filatov
University of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Different protein secondary structure elements have different physicochemical properties and roles in the protein, which may determine their evolutionary flexibility. However, it is not clear to what extent protein structure affects the way Darwinian selection acts at the amino acid level. Using phylogeny-based likelihood tests for positive selection, we have examined the relationship between protein secondary structure and selection across six species of Drosophila. We find that amino acids that form disordered regions, such as random coils, are far more likely to be under positive selection than expected from their proportion in the proteins, and residues in helices and beta-structures are subject to less positive selection than predicted. In addition, it appears that sites undergoing positive selection are more likely than expected to occur close to one another in the protein sequence. Finally, on a genome-wide scale, we have determined that positively selected sites are found more frequently toward the gene ends. Our results demonstrate that protein structures with a greater degree of organization and strong hydrophobicity, represented here as helices and beta-structures, are less tolerant to molecular adaptation than disordered, hydrophilic regions, across a diverse set of proteins.

Indexed as

Selection, GeneticAnimalsDrosophilaDrosophila melanogasterDrosophila ProteinsEvolution, MolecularGenome, InsectHydrophobic and Hydrophilic InteractionsINDEL MutationModels, GeneticPhylogenyProtein Structure, SecondarySpecies SpecificityDrosophila Proteins

Identifiers

PMID20624723
PMCPMC2997536
OpenAlexW2055962554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.