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A genome-wide detection of copy number variation using SNP genotyping arrays in Beijing-You chickens

Overview of attention for article published in Genetica, September 2014
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Title
A genome-wide detection of copy number variation using SNP genotyping arrays in Beijing-You chickens
Published in
Genetica, September 2014
DOI 10.1007/s10709-014-9788-z
Pubmed ID
Authors

Wei Zhou, Ranran Liu, Jingjing Zhang, Maiqing Zheng, Peng Li, Guobin Chang, Jie Wen, Guiping Zhao

Abstract

Copy number variation (CNV) has been recently examined in many species and is recognized as being a source of genetic variability, especially for disease-related phenotypes. In this study, the PennCNV software, a genome-wide CNV detection system based on the 60 K SNP BeadChip was used on a total sample size of 1,310 Beijing-You chickens (a Chinese local breed). After quality control, 137 high confidence CNVRs covering 27.31 Mb of the chicken genome and corresponding to 2.61 % of the whole chicken genome. Within these regions, 131 known genes or coding sequences were involved. Q-PCR was applied to verify some of the genes related to disease development. Results showed that copy number of genes such as, phosphatidylinositol-5-phosphate 4-kinase II alpha, PHD finger protein 14, RHACD8 (a CD8α- like messenger RNA), MHC B-G, zinc finger protein, sarcosine dehydrogenase and ficolin 2 varied between individual chickens, which also supports the reliability of chip-detection of the CNVs. As one source of genomic variation, CNVs may provide new insight into the relationship between the genome and phenotypic characteristics.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 30%
Student > Ph. D. Student 4 20%
Researcher 2 10%
Student > Doctoral Student 2 10%
Student > Bachelor 1 5%
Other 0 0%
Unknown 5 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 45%
Biochemistry, Genetics and Molecular Biology 2 10%
Veterinary Science and Veterinary Medicine 1 5%
Chemistry 1 5%
Unknown 7 35%