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Wang, Wenjun,Huang, Lusheng,Gao, Jun,Ding, NengShui,Chen, Kefei,Ren, Jun,Luo, Ming Asian Australasian Association of Animal Productio 2003 Animal Bioscience Vol.16 No.2
The polymorphism of the growth hormone gene in 12 pig breeds (total n=475) was detected by PCR-Apa I-RFLP, and allele A (449 bp, 101 bp and 55 bp) or allele B (316 bp, 133 bp, 101 bp and 55 bp) were observed. In these pig breeds, we found that European pig breeds had high frequencies of allele B, while Chinese native pig breeds had high frequencies of allele A. In addition, the role of porcine GH was investigated in 117 Nanchang White pigs and 361 Large Yorkshire pigs. Eight traits about growth and carcass were recorded for analyzing associations between GH gene polymorphism and performance quantitative traits. In the Nanchang White pigs, no significant difference was observed between different genotypes and different growth and carcass traits. In Large Yorkshire pigs, those with BB genotype had more lean percentage than pigs with AA genotype (p<0.05). Based on these results, we conclude that the GH locus should be further investigated in commercial breeds to determine its suitability for use in marker-assisted selection programmes.
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Chengbin Wang,Hao Chen,Xiaopeng Wang,Zhongping Wu,Weiwei Liu,Yuanmei Guo,Jun Ren,Nengshui Ding 아세아·태평양축산학회 2019 Animal Bioscience Vol.32 No.12
Objective: Copy number variations (CNVs) are a major source of genetic diversity complementary to single nucleotide polymorphism (SNP) in animals. The aim of the study was to perform a comprehensive genomic analysis of CNVs based on high density whole-genome SNP markers in Chinese Dongxiang spotted pigs. Methods: We used customized Affymetrix Axiom Pig1.4M array plates containing 1.4 million SNPs and the PennCNV algorithm to identify porcine CNVs on autosomes in Chinese Dongxiang spotted pigs. Then, the next generation sequence data was used to confirm the detected CNVs. Next, functional analysis was performed for gene contents in copy number variation regions (CNVRs). In addition, we compared the identified CNVRs with those reported ones and quantitative trait loci (QTL) in the pig QTL database. Results: We identified 871 putative CNVs belonging to 2,221 CNVRs on 17 autosomes. We further discarded CNVRs that were detected only in one individual, leaving us 166 CNVRs in total. The 166 CNVRs ranged from 2.89 kb to 617.53 kb with a mean value of 93.65 kb and a genome coverage of 15.55 Mb, corresponding to 0.58% of the pig genome. A total of 119 (71.69%) of the identified CNVRs were confirmed by next generation sequence data. Moreover, functional annotation showed that these CNVRs are involved in a variety of molecular functions. More than half (56.63%) of the CNVRs (n = 94) have been reported in previous studies, while 72 CNVRs are reported for the first time. In addition, 162 (97.59%) CNVRs were found to overlap with 2,765 previously reported QTLs affecting 378 phenotypic traits. Conclusion: The findings improve the catalog of pig CNVs and provide insights and novel molecular markers for further genetic analyses of Chinese indigenous pigs.
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Tang, Jianhong,Zhang, Zhiyan,Yang, Bin,Guo, Yuanmei,Ai, Huashui,Long, Yi,Su, Ying,Cui, Leilei,Zhou, Liyu,Wang, Xiaopeng,Zhang, Hui,Wang, Chengbin,Ren, Jun,Huang, Lusheng,Ding, Nengshui Asian Australasian Association of Animal Productio 2017 Animal Bioscience Vol.30 No.1
Objective: Three genome-wide association studies (GWAS) and a meta-analysis of GWAS were conducted to explore the genetic mechanisms underlying variation in pig teat number. Methods: We performed three GWAS and a meta-analysis for teat number on three pig populations, including a White Duroc${\times}$Erhualian $F_2$ resource population (n = 1,743), a Chinese Erhualian pig population (n = 320) and a Chinese Sutai pig population (n = 383). Results: We detected 24 single nucleotide polymorphisms (SNPs) that surpassed the genome-wide significant level on Sus Scrofa chromosomes (SSC) 1, 7, and 12 in the $F_2$ resource population, corresponding to four loci for pig teat number. We highlighted vertnin (VRTN) and lysine demethylase 6B (KDM6B) as two interesting candidate genes at the loci on SSC7 and SSC12. No significant associated SNPs were identified in the meta-analysis of GWAS. Conclusion: The results verified the complex genetic architecture of pig teat number. The causative variants for teat number may be different in the three populations
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