The Association of the Copy Number Variation of the Gene with Growth Traits of Chinese Cattle.

Clicks: 173
ID: 94454
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Copy number variation is a part of genomic structural variation and has caused widespread concern. According to the results of high-throughput screening of the gene, we found that the copy number variation region of the gene was correlated with bovine growth traits. We aimed to detect the gene copy number variation and provide materials for the Chinese yellow cattle breed. In this study, the SPSS software was used to analyze the correlation among the copy number type of six different cattle breeds (i.e., Qinchuan, Xianan, Jiaxian, Yanbian, Sinan, Yunling) and the corresponding growth traits. The results showed the following: In Qinchuan cattle, the copy number duplication type was greater than the deletion and normal types; in Xianan cattle, the copy number duplication and normal types were less as compared with the deletion type; and in Yunling cattle, the frequency of the duplication type was dominant among the three types of copy number variants. The correlation analysis result showed that there is a significant correlation between the copy number variation (CNV) of the gene and the growth traits of three cattle breeds. Furthermore, correlation analysis showed that CNV had positive effects on growth traits such as hip width, rump length, hucklebone width, and cannon bone circumference ( < 0.05). This study provides a basis for the molecular-assisted marker breeding of cattle and contributes to the breeding of cattle.
Reference Key
yang2020theanimals Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yang, Peng;Zhang, Zijing;Xu, Jiawei;Qu, Kaixing;Lyv, Shijie;Wang, Xianwei;Cai, Cuicui;Li, Zhiming;Wang, Eryao;Xie, Jianliang;Ru, Baorui;Xu, Zejun;Lei, Chuzhao;Chen, Hong;Huang, Bizhi;Huang, Yongzhen;
Journal animals
Year 2020
DOI
E250
URL
Keywords
mllt10 gene association analysis copy number variations (cnvs) growth traits invasive species sediment great lakes metabarcoding harmful algal blooms ballast water chesapeake bay margalefidinium polykrikoides dinoflagellate resting cysts single-cell pcr

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.