Evidence map›Paper›PMID 24402375›Full record

ArticleGenetics2014

The nature and extent of mutational pleiotropy in gene expression of male Drosophila serrata.

Katrina McGuigan, Julie M Collet, Elizabeth A McGraw, Yixin H Ye, Scott L Allen, Stephen F Chenoweth, Mark W Blows

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  10. Contributions of mutation and selection to regulatory variation: lessons from thePhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. The contribution of mutation and selection to multivariate quantitative genetic variance in an outbred population ofProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Correlational selection in the age of genomics.Nature ecology & evolution · 2021
    Review
  16. Review
  17. The GeneG3 (Bethesda, Md.) · 2020
    Article
  18. Empirical measures of mutational effects define neutral models of regulatory evolution inProceedings of the National Academy of Sciences of the United States of America · 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

7 authors at 2 institutions in 1 country.

Katrina McGuiganSchool of Biological Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
Julie M Collet
Elizabeth A McGraw
Yixin H Ye
Scott L Allen
Stephen F Chenoweth
Mark W Blows
University of Queensland · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nature and extent of mutational pleiotropy remain largely unknown, despite the central role that pleiotropy plays in many areas of biology, including human disease, agricultural production, and evolution. Here, we investigate the variation in 11,604 gene expression traits among 41 mutation accumulation (MA) lines of Drosophila serrata. We first confirmed that these expression phenotypes were heritable, detecting genetic variation in 96% of them in an outbred, natural population of D. serrata. Among the MA lines, 3385 (29%) of expression traits were variable, with a mean mutational heritability of 0.0005. In most traits, variation was generated by mutations of relatively small phenotypic effect; putative mutations with effects of greater than one phenotypic standard deviation were observed for only 8% of traits. With most (71%) traits unaffected by any mutation, our data provide no support for universal pleiotropy. We further characterized mutational pleiotropy in the 3385 variable traits, using sets of 5, randomly assigned, traits. Covariance among traits chosen at random with respect to their biological function is expected only if pleiotropy is extensive. Taking an analytical approach in which the variance unique to each trait in the random 5-trait sets was partitioned from variance shared among traits, we detected significant (at 5% false discovery rate) mutational covariance in 21% of sets. This frequency of statistically supported covariance implied that at least some mutations must pleiotropically affect a substantial number of traits (>70; 0.6% of all measured traits).

Indexed as

Gene ExpressionGenetic PleiotropyMutationAnimalsDrosophilaDrosophila ProteinsGene FrequencyGenetic VariationMaleOligonucleotide Array Sequence AnalysisPhenotypeQuantitative Trait, HeritableDrosophila Proteinsevolutionpleiotropyquantitative geneticstranscriptomevariational module

Identifiers

PMID24402375
PMCPMC3948815
OpenAlexW2117993464

What OpenQuestion holds

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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.