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Evolutionary and Functional Features of Copy Number Variation in the Cattle Genome

Overview of attention for article published in Frontiers in Genetics, November 2016
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Title
Evolutionary and Functional Features of Copy Number Variation in the Cattle Genome
Published in
Frontiers in Genetics, November 2016
DOI 10.3389/fgene.2016.00207
Pubmed ID
Authors

Brittney N. Keel, Amanda K. Lindholm-Perry, Warren M. Snelling

Abstract

Genomic structural variations are an important source of genetic diversity. Copy number variations (CNVs), gains and losses of large regions of genomic sequence between individuals of a species, have been associated with a wide variety of phenotypic traits. However, in cattle, as well as many other species, relatively little is understood about CNV, including frequency of CNVs in the genome, sizes, and locations, chromosomal properties, and evolutionary processes acting to shape CNV. In this work, we focused on copy number variation in the bovine genome, with the aim to detect CNVs in Bos taurus coding sequence and explore potential evolutionary mechanisms shaping these CNV. We identified and characterized CNV regions by utilizing exome sequence from 175 influential sires used in the Germplasm Evaluation project, representing 10 breeds. We examined various evolutionary and functional aspects of these CNVs, including selective constraint on CNV-overlapped genes, centrality of CNV genes in protein-protein interaction networks, and tissue-specific expression of CNV genes. Patterns of CNV in the Bos taurus genome reveal that reduced functional constraint and mutational bias may play a prominent role in shaping this type of structural variation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Master 10 20%
Student > Ph. D. Student 8 16%
Student > Bachelor 5 10%
Lecturer 2 4%
Other 3 6%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 49%
Biochemistry, Genetics and Molecular Biology 5 10%
Medicine and Dentistry 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Unspecified 1 2%
Other 3 6%
Unknown 12 24%
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 23 December 2016.
All research outputs
#16,763,071
of 26,378,648 outputs
Outputs from Frontiers in Genetics
#4,621
of 13,902 outputs
Outputs of similar age
#243,066
of 421,151 outputs
Outputs of similar age from Frontiers in Genetics
#25
of 45 outputs
Altmetric has tracked 26,378,648 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,902 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 62% 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 421,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.