Livestock have undergone domestication and consequently strong selective pressure on genes or genomic regions that control desirable traits. To identify selection signatures in the genome of Chinese Rongchang pigs, we...Livestock have undergone domestication and consequently strong selective pressure on genes or genomic regions that control desirable traits. To identify selection signatures in the genome of Chinese Rongchang pigs, we generated a total of about 170 Gb of DNA sequence data with about 6.4-fold coverage for each of six female individuals. By combining these data with the publically available genome data of 10 Asian wild boars,we identified 449 protein-coding genes with selection signatures in Rongchang pigs, which are mainly involved in growth and hormone binding, nervous system development, and drug metabolism. The accelerated evolution of these genes may contribute to the dramatic phenotypic differences between Rongchang pigs and Chinese wild boars. This study illustrated how domestication and subsequent artificial selection have shaped patterns of genetic variation in Rongchang pigs and provides valuable genetic resources that can enhance the use of pigs in agricultural production and biomedical studies.展开更多
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 contributio...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;展开更多
基金supported by the National High Technology Research and Development Program of China (2013AA102502)Chongqing Agricultural Development Foundation (12404,14440 and 15428)+3 种基金the National Natural Science Foundation of China (31372284,31401073,31472081,31522055,31601919 and 31601930)the Program for Innovative Research Team of Sichuan Province (2015TD0012)the National Program for Support of Top-notch Young Professionals,the Young Scholars of the Yangtze River
文摘Livestock have undergone domestication and consequently strong selective pressure on genes or genomic regions that control desirable traits. To identify selection signatures in the genome of Chinese Rongchang pigs, we generated a total of about 170 Gb of DNA sequence data with about 6.4-fold coverage for each of six female individuals. By combining these data with the publically available genome data of 10 Asian wild boars,we identified 449 protein-coding genes with selection signatures in Rongchang pigs, which are mainly involved in growth and hormone binding, nervous system development, and drug metabolism. The accelerated evolution of these genes may contribute to the dramatic phenotypic differences between Rongchang pigs and Chinese wild boars. This study illustrated how domestication and subsequent artificial selection have shaped patterns of genetic variation in Rongchang pigs and provides valuable genetic resources that can enhance the use of pigs in agricultural production and biomedical studies.
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)+1 种基金the Fund of Fok Ying-Tung Education Foundation(No.141117)the Fund for Distinguished Young Scientists of Sichuan Province(No. 2013JQ0013)
文摘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;
