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Epigenetic marks: regulators of livestock phenotypes and conceivable sources of missing variation in livestock improvement programs

Overview of attention for article published in Frontiers in Genetics, September 2015
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Title
Epigenetic marks: regulators of livestock phenotypes and conceivable sources of missing variation in livestock improvement programs
Published in
Frontiers in Genetics, September 2015
DOI 10.3389/fgene.2015.00302
Pubmed ID
Authors

Eveline M. Ibeagha-Awemu, Xin Zhao

Abstract

Improvement in animal productivity has been achieved over the years through careful breeding and selection programs. Today, variations in the genome are gaining increasing importance in livestock improvement strategies. Genomic information alone, however, explains only a part of the phenotypic variance in traits. It is likely that a portion of the unaccounted variance is embedded in the epigenome. The epigenome encompasses epigenetic marks such as DNA methylation, histone tail modifications, chromatin remodeling, and other molecules that can transmit epigenetic information such as non-coding RNA species. Epigenetic factors respond to external or internal environmental cues such as nutrition, pathogens, and climate, and have the ability to change gene expression leading to emergence of specific phenotypes. Accumulating evidence shows that epigenetic marks influence gene expression and phenotypic outcome in livestock species. This review examines available evidence of the influence of epigenetic marks on livestock (cattle, sheep, goat, and pig) traits and discusses the potential for consideration of epigenetic markers in livestock improvement programs. However, epigenetic research activities on farm animal species are currently limited partly due to lack of recognition, funding and a global network of researchers. Therefore, considerable less attention has been given to epigenetic research in livestock species in comparison to extensive work in humans and model organisms. Elucidating therefore the epigenetic determinants of animal diseases and complex traits may represent one of the principal challenges to use epigenetic markers for further improvement of animal productivity.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 <1%
Unknown 167 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 21%
Researcher 23 14%
Student > Master 23 14%
Student > Doctoral Student 13 8%
Student > Bachelor 12 7%
Other 27 16%
Unknown 34 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 46%
Biochemistry, Genetics and Molecular Biology 21 13%
Veterinary Science and Veterinary Medicine 9 5%
Medicine and Dentistry 4 2%
Environmental Science 2 1%
Other 7 4%
Unknown 48 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 October 2022.
All research outputs
#18,326,885
of 23,548,905 outputs
Outputs from Frontiers in Genetics
#6,360
of 12,563 outputs
Outputs of similar age
#186,781
of 275,742 outputs
Outputs of similar age from Frontiers in Genetics
#44
of 59 outputs
Altmetric has tracked 23,548,905 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,563 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 275,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
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 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.