Comprehensive analysis of structural variants in chickens using PacBio sequencing
文献类型: 外文期刊
第一作者: Zhang, Jinxin
作者: Zhang, Jinxin;Nie, Changsheng;Li, Xinghua;Zhao, Xiurong;Ning, Zhonghua;Bao, Haigang;Zhao, Chunjiang;Li, Junying;Qu, Lujiang;Jia, Yaxiong;Han, Jianlin;Chen, Yu;Wang, Liang;Lv, Xueze;Yang, Weifang;Li, Kaiyang;Zhang, Jianwei
作者机构:
关键词: chicken; structural variants; whole-genome sequencing; pacbio data; genetic diversity
期刊名称:FRONTIERS IN GENETICS ( 影响因子:4.772; 五年影响因子:4.933 )
ISSN:
年卷期: 2022 年 13 卷
页码:
收录情况: SCI
摘要: Structural variants (SVs) are one of the main sources of genetic variants and have a greater impact on phenotype evolution, disease susceptibility, and environmental adaptations than single nucleotide polymorphisms (SNPs). However, SVs remain challenging to accurately type, with several detection methods showing different limitations. Here, we explored SVs from 10 different chickens using PacBio technology and detected 49,501 high-confidence SVs. The results showed that the PacBio long-read detected more SVs than Illumina short-read technology genomes owing to some SV sites on chromosomes, which are related to chicken growth and development. During chicken domestication, some SVs beneficial to the breed or without any effect on the genomic function of the breed were retained, whereas deleterious SVs were generally eliminated. This study could facilitate the analysis of the genetic characteristics of different chickens and provide a better understanding of their phenotypic characteristics at the SV level, based on the long-read sequencing method. This study enriches our knowledge of SVs in chickens and improves our understanding of chicken genomic diversity.
分类号:
- 相关文献
作者其他论文 更多>>
-
Deficit irrigation combined with a high planting density optimizes root and soil water-nitrogen distribution to enhance cotton productivity in arid regions
作者:Wu, Fengquan;Tang, Qiuxiang;Wu, Fengquan;Cui, Jianping;Tian, Liwen;Guo, Rensong;Wang, Liang;Zheng, Zipiao;Zhang, Na;Lin, Tao;Zhang, Yanjun
关键词:Root system; Soil water; Soil nitrate nitrogen; Water productivity
-
Fertilizer application parameters for drip-irrigated peanut based on the fertilizer effect function established from a "3414" field trial
作者:Gao, Zhijian;Liu, Yu;Wang, Guodong;Yang, Guojiang;Liu, Yantao;Wang, Liang;Gao, Zhijian;Liu, Yu;Wang, Guodong;Yang, Guojiang;Gao, Zhijian;Liu, Yu;Wang, Guodong;Yang, Guojiang;Bai, Xinlu;Zhi, Jinhu;Tang, Xiaoyun
关键词:peanut yield; mulched drip irrigation; "3414" field trial; fertilizer effect model; recommended fertilization
-
Day length affects flowering time through regulating circadian oscillator and its downstream genes in photoperiod pathway in Gossypium hirsutum
作者:Pan, Ao;Zhou, Zhonghua;Liu, Zhi;Huo, Xuehan;Gao, Yang;Chen, Yu;Wang, Furong;Zhang, Jun;Huo, Xuehan;Feng, Jiaojiao;Wang, Furong;Zhang, Jun;Yuan, Yang
关键词:Gossypium hirsutum L; Photoperiod; GhFKF1; Flowering; Virus induced gene silencing (VIGS)
-
Fine mapping of the fiber length-related qFL-A12-2 QTL through the use of chromosome segment substitution lines and candidate gene validation
作者:Xiao, Xianghui;Liu, Ruixian;Gong, Juwu;Li, Pengtao;Zhang, Haibo;Chen, Yu;Sun, Zhihao;Peng, Renhai;Lu, Quanwei;Gong, Juwu;Gong, Wankui;Liu, Aiying;Ge, Qun;Liu, Yangming;Shang, Haihong;Li, Junwen;Yan, Haoliang;Pan, Jingtao;Shi, Yuzhen;Yuan, Youlu;Gong, Juwu;Yang, Rui;Wang, Yongbo;Gong, Juwu
关键词:Single segment introgression line; Fiber length; BSA; Fine mapping; GhALMT12_A12
-
An analysis of lncRNAs related to fiber quality and the discovery of their target genes in a Gossypium hirsutum line with Gossypium mustelinum introgression
作者:Wang, Baohua;Ji, Meijun;Fang, Hui;Gu, Haijing;Mehari, Teame Gereziher;Han, Jinlei;Feng, Wenxiang;Wang, Kai;Huo, Xuehan;Zhang, Jingxia;Chen, Yu;Zhang, Jun;Ditta, Allah;Khan, Muhammad K. R.;Paterson, Andrew H.;Chee, Peng W.
关键词:
-
Recognition of wheat rusts in a field environment based on improved DenseNet
作者:Chang, Shenglong;Cheng, Jinpeng;Fan, Zehua;Ma, Xinming;Li, Yong;Zhao, Chunjiang;Chang, Shenglong;Yang, Guijun;Cheng, Jinpeng;Fan, Zehua;Yang, Xiaodong;Zhao, Chunjiang
关键词:Plant disease; Wheat rust; Image processing; Deep learning; Computer vision (CV); DenseNet
-
GCVC: Graph Convolution Vector Distribution Calibration for Fish Group Activity Recognition
作者:Zhao, Zhenxi;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Liu, Jintao
关键词:Fish; Feature extraction; Activity recognition; Calibration; Adhesives; Training; Convolution; Graph convolution vector calibration; fish group activity; activity feature vector calibration; fish activity dataset