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Detection and validation of structural variations in bovine whole-genome sequence data

Overview of attention for article published in Genetics Selection Evolution, January 2017
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Title
Detection and validation of structural variations in bovine whole-genome sequence data
Published in
Genetics Selection Evolution, January 2017
DOI 10.1186/s12711-017-0286-5
Pubmed ID
Authors

Long Chen, Amanda J. Chamberlain, Coralie M. Reich, Hans D. Daetwyler, Ben J. Hayes

Abstract

Several examples of structural variation (SV) affecting phenotypic traits have been reported in cattle. Currently the identification of SV from whole-genome sequence data (WGS) suffers from a high false positive rate. Our aim was to construct a high quality set of SV calls in cattle using WGS data. First, we tested two SV detection programs, Breakdancer and Pindel, and the overlap of these methods, on simulated sequence data to determine their precision and sensitivity. We then identified population SV from WGS of 252 Holstein and 64 Jersey bulls based on the overlapping calls from the two programs. In addition, we validated an overlapped SV set in 28 twice-sequenced Holstein individuals, and in another two validated sets (one for each breed) that were transmitted from sire to son. We also tested whether highly conserved gene sets across eukaryotes and recently expanded gene families in bovine were depleted and enriched, respectively, for SV. In empirical WGS data, 17,518 SV covering 27.36 Mb were found in the Holstein population and 4285 SV covering 8.74 Mb in the Jersey population, of which 4.62 Mb of SV overlapped between Holsteins and Jerseys. A total of 11,534 candidate SV covering 5.64 Mb were validated in the 28 twice-sequenced individuals, while 3.49 and 0.67 Mb of SV were validated from Holstein and Jersey sire-son transmission, respectively. Only eight of 237 core eukaryotic genes had at least a 50-bp overlap with an SV from our validated sets, suggesting that conserved genes are depleted for SV (p < 0.05). In addition, we observed that recently expanded gene families were significantly more associated with SV than other genes. Long interspersed nuclear elements-1 were enriched for deletions when compared to the rest of the genome (p = 0.0035). We reported SV from 252 Holstein and 64 Jersey individuals. A considerable proportion of Jersey population SV (53.5%) were also found in Holstein. In contrast, about 76.90% sire-son transmission validated SV were present in Jerseys and Holsteins. The enrichment of SV in expanding gene families suggests that SV can be a source of genetic variation for evolution.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Master 10 18%
Student > Ph. D. Student 10 18%
Student > Doctoral Student 6 11%
Student > Postgraduate 4 7%
Other 7 12%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 53%
Biochemistry, Genetics and Molecular Biology 14 25%
Medicine and Dentistry 2 4%
Computer Science 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 0 0%
Unknown 8 14%
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 25 September 2018.
All research outputs
#20,660,571
of 25,377,790 outputs
Outputs from Genetics Selection Evolution
#666
of 821 outputs
Outputs of similar age
#320,933
of 422,427 outputs
Outputs of similar age from Genetics Selection Evolution
#15
of 17 outputs
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