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Standing genetic variation as a major contributor to adaptation in the Virginia chicken lines selection experiment

Overview of attention for article published in Genome Biology, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 news outlet
blogs
1 blog
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15 X users
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2 Facebook pages

Citations

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58 Dimensions

Readers on

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76 Mendeley
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Title
Standing genetic variation as a major contributor to adaptation in the Virginia chicken lines selection experiment
Published in
Genome Biology, October 2015
DOI 10.1186/s13059-015-0785-z
Pubmed ID
Authors

Zheya Sheng, Mats E. Pettersson, Christa F. Honaker, Paul B. Siegel, Örjan Carlborg

Abstract

Artificial selection provides a powerful approach to study the genetics of adaptation. Using selective-sweep mapping, it is possible to identify genomic regions where allele-frequencies have diverged during selection. To avoid false positive signatures of selection, it is necessary to show that a sweep affects a selected trait before it can be considered adaptive. Here, we confirm candidate, genome-wide distributed selective sweeps originating from the standing genetic variation in a long-term selection experiment on high and low body weight of chickens. Using an intercross between the two divergent chicken lines, 16 adaptive selective sweeps were confirmed based on their association with the body weight at 56 days of age. Although individual additive effects were small, the fixation for alternative alleles across the loci contributed at least 40 % of the phenotypic difference for the selected trait between these lines. The sweeps contributed about half of the additive genetic variance present within and between the lines after 40 generations of selection, corresponding to a considerable portion of the additive genetic variance of the base population. Long-term, single-trait, bi-directional selection in the Virginia chicken lines has resulted in a gradual response to selection for extreme phenotypes without a drastic reduction in the genetic variation. We find that fixation of several standing genetic variants across a highly polygenic genetic architecture made a considerable contribution to long-term selection response. This provides new fundamental insights into the dynamics of standing genetic variation during long-term selection and adaptation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Portugal 1 1%
Norway 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Researcher 16 21%
Student > Bachelor 11 14%
Student > Master 8 11%
Other 2 3%
Other 7 9%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 59%
Biochemistry, Genetics and Molecular Biology 10 13%
Environmental Science 2 3%
Computer Science 2 3%
Psychology 2 3%
Other 4 5%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 24 April 2018.
All research outputs
#1,508,182
of 25,374,917 outputs
Outputs from Genome Biology
#1,212
of 4,467 outputs
Outputs of similar age
#21,117
of 286,876 outputs
Outputs of similar age from Genome Biology
#31
of 84 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 72% 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 286,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.