↓ Skip to main content

Enhancer Runaway and the Evolution of Diploid Gene Expression

Overview of attention for article published in PLoS Genetics, November 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
26 X users
f1000
1 research highlight platform

Readers on

mendeley
119 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Enhancer Runaway and the Evolution of Diploid Gene Expression
Published in
PLoS Genetics, November 2015
DOI 10.1371/journal.pgen.1005665
Pubmed ID
Authors
Abstract

Evidence is mounting that the evolution of gene expression plays a major role in adaptation and speciation. Understanding the evolution of gene regulatory regions is indeed an essential step in linking genotypes and phenotypes and in understanding the molecular mechanisms underlying evolutionary change. The common view is that expression traits (protein folding, expression timing, tissue localization and concentration) are under natural selection at the individual level. Here, we use a theoretical approach to show that, in addition, in diploid organisms, enhancer strength (i.e., the ability of enhancers to activate transcription) may increase in a runaway process due to competition for expression between homologous enhancer alleles. These alleles may be viewed as self-promoting genetic elements, as they spread without conferring a benefit at the individual level. They gain a selective advantage by getting associated to better genetic backgrounds: deleterious mutations are more efficiently purged when linked to stronger enhancers. This process, which has been entirely overlooked so far, may help understand the observed overrepresentation of cis-acting regulatory changes in between-species phenotypic differences, and sheds a new light on investigating the contribution of gene expression evolution to adaptation.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Netherlands 2 2%
United Kingdom 2 2%
Unknown 113 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 25%
Researcher 28 24%
Student > Master 14 12%
Student > Bachelor 10 8%
Other 5 4%
Other 13 11%
Unknown 19 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 64 54%
Biochemistry, Genetics and Molecular Biology 26 22%
Environmental Science 4 3%
Medicine and Dentistry 3 3%
Mathematics 1 <1%
Other 3 3%
Unknown 18 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 19 May 2021.
All research outputs
#2,968,117
of 34,360,889 outputs
Outputs from PLoS Genetics
#1,957
of 9,870 outputs
Outputs of similar age
#32,290
of 319,272 outputs
Outputs of similar age from PLoS Genetics
#51
of 208 outputs
Altmetric has tracked 34,360,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.