Evidence map›Paper›PMID 14668377›Full record

ArticleGenetics2003

Protein evolution and codon usage bias on the neo-sex chromosomes of Drosophila miranda.

Doris Bachtrog

Abstract read
In one paragraph

Article in Genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

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  10. Evolution of sex chromosomes in insects.Annual review of genetics · 2010
    Review
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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

1 author at 1 institution in 1 country.

Doris BachtrogInstitute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom. doris.bachtrog@cornell.edu
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neo-sex chromosomes of Drosophila miranda constitute an ideal system to study the effects of recombination on patterns of genome evolution. Due to a fusion of an autosome with the Y chromosome, one homolog is transmitted clonally. Here, I compare patterns of molecular evolution of 18 protein-coding genes located on the recombining neo-X and their homologs on the nonrecombining neo-Y chromosome. The rate of protein evolution has significantly increased on the neo-Y lineage since its formation. Amino acid substitutions are accumulating uniformly among neo-Y-linked genes, as expected if all loci on the neo-Y chromosome suffer from a reduced effectiveness of natural selection. In contrast, there is significant heterogeneity in the rate of protein evolution among neo-X-linked genes, with most loci being under strong purifying selection and two genes showing evidence for adaptive evolution. This observation agrees with theory predicting that linkage limits adaptive protein evolution. Both the neo-X and the neo-Y chromosome show an excess of unpreferred codon substitutions over preferred ones and no difference in this pattern was observed between the chromosomes. This suggests that there has been little or no selection maintaining codon bias in the D. miranda lineage. A change in mutational bias toward AT substitutions also contributes to the decline in codon bias. The contrast in patterns of molecular evolution between amino acid mutations and synonymous mutations on the neo-sex-linked genes can be understood in terms of chromosome-specific differences in effective population size and the distribution of selective effects of mutations.

Indexed as

CodonEvolution, MolecularSex ChromosomesAnimalsDrosophilaDrosophila ProteinsCodonDrosophila Proteins

Identifiers

PMID14668377
PMCPMC1462847
OpenAlexW2143026547

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.