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The Nature and Extent of Mutational Pleiotropy in Gene Expression of Male Drosophila serrata

Overview of attention for article published in Genetics, March 2014
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Title
The Nature and Extent of Mutational Pleiotropy in Gene Expression of Male Drosophila serrata
Published in
Genetics, March 2014
DOI 10.1534/genetics.114.161232
Pubmed ID
Authors

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

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).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 34%
Researcher 11 27%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Student > Master 3 7%
Other 4 10%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 59%
Biochemistry, Genetics and Molecular Biology 7 17%
Mathematics 1 2%
Immunology and Microbiology 1 2%
Sports and Recreations 1 2%
Other 2 5%
Unknown 5 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2014.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from Genetics
#5,650
of 7,400 outputs
Outputs of similar age
#124,340
of 236,361 outputs
Outputs of similar age from Genetics
#39
of 59 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.