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Zuo P, Zhang C, Gao Y, Zhao L, Guo J, Yang Y, Yu Q, Li Y, Wang Z, Yang H. Genome-wide unraveling SNP pairwise epistatic effects associated with sheep body weight. Anim Biotechnol 2023; 34:3416-3427. [PMID: 36495095 DOI: 10.1080/10495398.2022.2152349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Epistatic effects are an important part of the genetic effect of complex traits in livestock. In this study, we used 218 synthetic ewes from the Xinjiang Academy of Agricultural Reclamation in China to identify interacting paired with genome-wide single nucleotide polymorphisms (SNPs) associated with birth weight, weaning weight, and one-yearling weight. We detected 2 and 66 SNP-SNP interactions of sheep birth weight and weaning weight, respectively. No significant epistatic interaction of one-year-old body weight was detected. The genetic interaction of sheep body weight is dynamic and time-dependent. Most significant interactions of weaning body weight contributed 1% or higher. In the weaning weight trait, 66 significant SNP pairs consisted of 98 single SNPs covering 23 chromosomes, 5 of which were nonsynonymous SNPs (nsSNPs), resulting in single amino acid substitution. We found that genes that interact with transcription factors (TFs) are target genes for the corresponding TFs. Four epitron networks affecting weaning weight, including subnetworks of HIVEP3 and BACH2 transcription factors, constructed using significant SNP pairs, were also analyzed and annotated. These results suggest that transcription factors may play an important role in explaining epistatic effects. It provides a new idea to study the genetic mechanism of weight developing.
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Affiliation(s)
- Peng Zuo
- College of Science, Northeast Agricultural University, Harbin
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Chaoxin Zhang
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yupeng Gao
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Engineering, Northeast Agricultural University, Harbin, China
| | - Lijunyi Zhao
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Information and Electrical Engineering, Northeast Agricultural University, Harbin, China
| | - Jiaxu Guo
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Life Sciences, Northeast Agricultural University, Harbin, China
| | - Yonglin Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
| | - Qian Yu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
| | - Yunna Li
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Zhipeng Wang
- Bioinformatics Center, Northeast Agricultural University, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
| | - Hua Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation, Shihezi, Hebei, China
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Hsu WT, Williamson P, Khatkar MS. Identification of Genomic Signatures in Bullmastiff Dogs Using Composite Selection Signals Analysis of 23 Purebred Clades. Animals (Basel) 2023; 13:ani13071149. [PMID: 37048405 PMCID: PMC10093657 DOI: 10.3390/ani13071149] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/10/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
Dog breeds represent canine sub-populations with distinctive phenotypic features and limited genetic diversity. We have established a resource to study breed-specific genetic diversity. Utilising genetic resources within our laboratory biobank, public domain genotype data and the phylogenetic framework of 23 breed clades, the primary objective for this study was to identify genomic regions that differentiate the Bullmastiff breed. Through application of a composite index analysis (CSS), genomic signatures were identified in Bullmastiffs when compared to the formative breeds, Mastiffs and Bulldogs, and to 22 other breed groups. Significant regions were identified on 15 chromosomes, with the most differentiated regions found on CFA1, CFA9, and CFA18. These regions may reflect genetic drift following establishment of the breed or the effects of selective breeding during development of the modern Bullmastiff. This was supported by analysis of genes from the identified genomic regions, including 458 genes from the multi-clade analysis, which revealed enriched pathways that may be related to characteristic traits and distinct morphology of the breed. The study demonstrates the utility of the CSS method in breed-specific genome analysis and advances our understanding of genetic diversity in Bullmastiff dogs.
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Affiliation(s)
- Wei-Tse Hsu
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW 2006, Australia
| | - Peter Williamson
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW 2006, Australia
| | - Mehar Singh Khatkar
- Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW 2006, Australia
- School of Animal and Veterinary Sciences, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Roseworthy, SA 5371, Australia
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He Y, Zhou X, Zheng R, Jiang Y, Yao Z, Wang X, Zhang Z, Zhang H, Li J, Yuan X. The Association of an SNP in the EXOC4 Gene and Reproductive Traits Suggests Its Use as a Breeding Marker in Pigs. Animals (Basel) 2021; 11:ani11020521. [PMID: 33671441 PMCID: PMC7921996 DOI: 10.3390/ani11020521] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 02/07/2021] [Accepted: 02/10/2021] [Indexed: 02/07/2023] Open
Abstract
In mammals, the exocyst complex component 4 (EXOC4) gene has often been reported to be involved in vesicle transport. The SNP rs81471943 (C/T) is located in the intron of porcine EXOC4, while six quantitative trait loci (QTL) within 5-10 Mb around EXOC4 are associated with ovary weight, teat number, total offspring born alive, and corpus luteum number. However, the molecular mechanisms between EXOC4 and the reproductive performance of pigs remains to be elucidated. In this study, rs81471943 was genotyped from a total of 994 Duroc sows, and the genotype and allele frequency of SNP rs81471943 (C/T) were statistically analyzed. Then, the associations between SNP rs81471943 and four reproductive traits, including number of piglets born alive (NBA), litter weight at birth (LWB), number of piglets weaned (NW), and litter weight at weaning (LWW), were determined. Sanger sequencing and PCR restriction fragment length polymorphism (PCR-RFLP) were utilized to identify the rs81471943 genotype. We found that the genotype frequency of CC was significantly higher than that of CT and TT, and CC was the most frequent genotype for NBA, LWB, NW, and LWW. Moreover, 5'-deletion and luciferase assays identified a positive transcription regulatory element in the EXOC4 promoter. After exploring the EXOC4 promoter, SNP -1781G/A linked with SNP rs81471943 (C/T) were identified by analysis of the transcription activity of the haplotypes, and SNP -1781 G/A may influence the potential binding of P53, E26 transformation specific sequence -like 1 transcription factor (ELK1), and myeloid zinc finger 1 (MZF1). These findings provide useful information for identifying a molecular marker of EXOC4-assisted selection in pig breeding.
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Affiliation(s)
- Yingting He
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
| | - Xiaofeng Zhou
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
| | - Rongrong Zheng
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
| | - Yao Jiang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
| | - Zhixiang Yao
- Guangdong Dexing Food Co., Ltd., Shantou 515100, China;
| | - Xilong Wang
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510260, China;
| | - Zhe Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
| | - Hao Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
| | - Jiaqi Li
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
- Correspondence: (J.L.); (X.Y.)
| | - Xiaolong Yuan
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (Y.H.); (X.Z.); (R.Z.); (Y.J.); (Z.Z.); (H.Z.)
- Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou 510260, China;
- Correspondence: (J.L.); (X.Y.)
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