Snapshot of Structural Variations in the Tibetan Wild Boar Genome at Single-Nucleotide Resolution  

作　　者：Lei Chen Long Jin Mingzhou Li Shilin Tian Tiandong Che Qianzi Tang Jing Lan Zhi Jiang Ruiqiang Li Yiren Gu Xuewei Li Jinyong Wang 

机构地区：[1]Chongqing Academy of Animal Sciences [2]Key Laboratory of Pig Industry Sciences, Ministry of Agriculture [3]Institute of Animal Genetics and Breeding,college of Animal Science and Technology, Sichuan Agricultural University [4]Novogene Bioinjormatics Institute [5]Sichuan Ammal Science Academy

出　　处：《Journal of Genetics and Genomics》2014年第12期653-657,共5页遗传学报（英文版）

基　　金：supported by the National High Technology Research and Development Program of China(863 Program)(No.2013AA102502);the National Natural Science Foundation of China(Nos.31372284 and 31402046);the Fund of Fok Ying-Tung Education Foundation(No.141117);the Fund for Distinguished Young Scientists of Sichuan Province(No. 2013JQ0013)

摘　　要：Genomic structural variations （SVs）, particularly insertions, deletions and inversions, can contribute to the heterogeneity of millions of nucleotides within a genome, and are likely to make an important contribution to biological diversity and phenotypic variation （Alkan et al., 2011; Bickhart and Liu, 2014）. With the rapid development of the next-generation sequencing technologies and the new assembly methodolo- gies, the multiple de novo assemblies of genomes within a species allow researchers to explore more detailed SV maps （Li et al., 2011）. Compared with the traditional read depth algorithm using the whole-genome resequencing approach and array-based technologies （Baker, 2012; Wang et al., 2012;Genomic structural variations （SVs）, particularly insertions, deletions and inversions, can contribute to the heterogeneity of millions of nucleotides within a genome, and are likely to make an important contribution to biological diversity and phenotypic variation （Alkan et al., 2011; Bickhart and Liu, 2014）. With the rapid development of the next-generation sequencing technologies and the new assembly methodolo- gies, the multiple de novo assemblies of genomes within a species allow researchers to explore more detailed SV maps （Li et al., 2011）. Compared with the traditional read depth algorithm using the whole-genome resequencing approach and array-based technologies （Baker, 2012; Wang et al., 2012;

关 键 词：gene Snapshot of Structural Variations in the Tibetan Wild Boar Genome at Single-Nucleotide Resolution 

分 类 号：Q75[生物学—分子生物学]