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Selection and microevolution of coat pattern are cryptic in a wild population of sheep

Overview of attention for article published in Molecular Ecology, March 2012
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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)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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2 blogs
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1 Google+ user

Citations

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32 Dimensions

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84 Mendeley
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Title
Selection and microevolution of coat pattern are cryptic in a wild population of sheep
Published in
Molecular Ecology, March 2012
DOI 10.1111/j.1365-294x.2012.05536.x
Pubmed ID
Authors

J. GRATTEN, J. G. PILKINGTON, E. A. BROWN, T. H. CLUTTON‐BROCK, J. M. PEMBERTON, J. SLATE

Abstract

Understanding the maintenance of genetic variation in natural populations is a core aim of evolutionary genetics. Insight can be gained by quantifying selection at the level of the genotype, as opposed to the phenotype. Here, we show that in a natural population of Soay sheep which is polymorphic for coat pattern, recessive genetic variants at the causal gene, agouti signalling protein (ASIP) are associated with reduced lifetime fitness. This was due primarily to a reduction in juvenile survival of uniformly coloured (self-type) sheep, which are homozygous recessive, and occurs despite significantly higher reproductive success in surviving self-type adults. Consistent with their relatively low fitness, we show that the frequency of self-type individuals has declined from 1985 to 2008. Remarkably though, the frequency of the underlying self-allele has increased, because the frequency of heterozygous individuals (who harbour the majority of all self-alleles) has increased. Indeed, the ratio of observed/expected heterozygous individuals has increased during the study, such that there is now a significant excess of heterozygotyes. By employing gene-dropping simulations, we show that microevolutionary trends in the frequency and excess of ASIP heterozygotes are too pronounced to be caused by genetic drift. Studying this polymorphism at the level of phenotype rather than underlying genotype would have failed to detect cryptic fitness differences. We would also have been unable to rule out genetic drift as an evolutionary force driving genetic change. This highlights the importance of resolving the underlying genetic basis of phenotypic variation in explaining evolutionary dynamics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Canada 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 26%
Researcher 22 26%
Student > Master 8 10%
Student > Postgraduate 5 6%
Student > Bachelor 5 6%
Other 12 14%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 70%
Environmental Science 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Social Sciences 2 2%
Mathematics 1 1%
Other 0 0%
Unknown 15 18%
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 14 August 2013.
All research outputs
#2,210,104
of 24,712,008 outputs
Outputs from Molecular Ecology
#1,115
of 6,623 outputs
Outputs of similar age
#12,805
of 164,057 outputs
Outputs of similar age from Molecular Ecology
#12
of 67 outputs
Altmetric has tracked 24,712,008 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 6,623 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 83% 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 164,057 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 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.