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Li Y, Yang M, Lou A, Yun J, Ren C, Li X, Xia G, Nam K, Yoon D, Jin H, Seo K, Jin X. Integrated analysis of expression profiles with meat quality traits in cattle. Sci Rep 2022; 12:5926. [PMID: 35396568 PMCID: PMC8993808 DOI: 10.1038/s41598-022-09998-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 03/31/2022] [Indexed: 11/17/2022] Open
Abstract
MicroRNAs (miRNAs) play a vital role in improving meat quality by binding to messenger RNAs (mRNAs). We performed an integrated analysis of miRNA and mRNA expression profiling between bulls and steers based on the differences in meat quality traits. Fat and fatty acids are the major phenotypic indices of meat quality traits to estimate between-group variance. In the present study, 90 differentially expressed mRNAs (DEGs) and 18 differentially expressed miRNAs (DEMs) were identified. Eighty-three potential DEG targets and 18 DEMs were used to structure a negative interaction network, and 75 matching target genes were shown in this network. Twenty-six target genes were designated as intersection genes, screened from 18 DEMs, and overlapped with the DEGs. Seventeen of these genes enriched to 19 terms involved in lipid metabolism. Subsequently, 13 DEGs and nine DEMs were validated using quantitative real-time PCR, and seven critical genes were selected to explore the influence of fat and fatty acids through hub genes and predict functional association. A dual-luciferase reporter and Western blot assays confirmed a predicted miRNA target (bta-miR-409a and PLIN5). These findings provide substantial evidence for molecular genetic controls and interaction among genes in cattle.
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Affiliation(s)
- Yunxiao Li
- College of Life Science, Shandong University, Qingdao, China
| | - Miaosen Yang
- Department of Chemistry, Northeast Electric Power University, Jilin, China
| | - Angang Lou
- Department of Veterinary Medicine, College of Agriculture, Yanbian University, Yanji, China
| | - Jinyan Yun
- College of Animal Science and Technology, Jilin Agricultural Science and Technology University, Jilin, China
| | - Chunyu Ren
- Animal Husbandry Bureau of Yanbian Autonomous Prefecture, Yanji, China
| | - Xiangchun Li
- Department of Veterinary Medicine, College of Agriculture, Yanbian University, Yanji, China
| | - Guangjun Xia
- Department of Veterinary Medicine, College of Agriculture, Yanbian University, Yanji, China
| | - Kichang Nam
- Department of Animal Science and Technology, College of Life Science and Natural Resources, Sunchon National University, Sunchon, South Korea
| | - Duhak Yoon
- Department of Animal Science, Kyungpook National University, Taegu, South Korea
| | - Haiguo Jin
- Branch of Animal Husbandry, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Kangseok Seo
- Department of Animal Science and Technology, College of Life Science and Natural Resources, Sunchon National University, Sunchon, South Korea.
| | - Xin Jin
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China.
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Wei DW, Gui LS, Raza SHA, Zhang S, Khan R, Wang L, Guo HF, Zan LS. NRF1 and ZSCAN10 bind to the promoter region of the SIX1 gene and their effects body measurements in Qinchuan cattle. Sci Rep 2017; 7:7867. [PMID: 28801681 PMCID: PMC5554236 DOI: 10.1038/s41598-017-08384-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 07/10/2017] [Indexed: 12/19/2022] Open
Abstract
The SIX1 homeobox gene belongs to the six homeodomain family and is widely thought to play a principal role in mediating of skeletal muscle development. In the present study, we determined that the bovine SIX1 gene was highly expressed in the longissimus thoracis and physiologically immature individuals. DNA sequencing of 428 individual Qinchuan cattle identified nine single nucleotide polymorphisms (SNPs) in the promoter region of the SIX1 gene. Using a series of 5′ deletion promoter plasmid luciferase reporter assays and 5′-rapid amplification of cDNA end analysis (RACE), two of these SNPs were found to be located in the proximal minimal promoter region −216/−28 relative to the transcriptional start site (TSS). Correlation analysis showed the combined haplotypes H1-H2 (-GG-GA-) was significantly greater in the body measurement traits (BMTs) than the others, which was consistent with the results showing that the transcriptional activity of Hap2 was higher than the others in Qinchuan cattle myoblast cells. Furthermore, the electrophoretic mobility shift assays (EMSA) and chromatin immunoprecipitation assay (ChIP) demonstrated that NRF1 and ZSCAN10 binding occurred in the promoter region of diplotypes H1-H2 to regulate SIX1 transcriptional activity. This information may be useful for molecular marker-assisted selection (MAS) in cattle breeding.
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Affiliation(s)
- Da-Wei Wei
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.,Shaanxi Beef Cattle Engineering Research Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Lin-Sheng Gui
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.,Shaanxi Beef Cattle Engineering Research Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Sayed Haidar Abbas Raza
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Song Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.,Shaanxi Beef Cattle Engineering Research Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Rajwali Khan
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China
| | - Li Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.,Shaanxi Beef Cattle Engineering Research Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Hong-Fang Guo
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China.,Shaanxi Beef Cattle Engineering Research Center, Yangling, 712100, Shaanxi, People's Republic of China
| | - Lin-Sen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China. .,National Beef Cattle Improvement Center, Northwest A&F University, Yangling, 712100, Shaanxi, People's Republic of China. .,Modern Cattle Biotechnology and Application of National-Local Engineering Research Center, Yangling, 712100, Shaanxi, People's Republic of China.
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Wang Y, Yang W, Gui L, Wang H, Zan L. Association and expression analyses of the Ucp2 and Ucp3 gene polymorphisms with body measurement and meat quality traits in Qinchuan cattle. J Genet 2017; 95:939-946. [PMID: 27994193 DOI: 10.1007/s12041-016-0720-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The uncoupling proteins (UCPs) belong to the mitochondrial inner membrane anion carrier superfamily and play an important role in energy homeostasis. Genetic studies have demonstrated that Ucp2 and Ucp3 gene variants are involved in obesity and metabolic syndrome. The aim of this study was to identify associations between polymorphisms of Ucp2 and Ucp3 genes and economically-important traits in Qinchuan cattle. In the present study, one single-nucleotide polymorphism (SNP) in the 5'UTR region (SNP1:g.C-754G) of the Ucp2 gene was identified by direct sequencing of 441 Qinchuan cattle. Two SNPs in exon 3 (SNP2: g.G4877A: SNP3: g.C4902T) of the Ucp3 gene were identified by sequencing and polymerase chain reactionrestriction fragment length polymorphism (PCR-RFLP) among 441 Qinchuan cattle. Association analysis showed that SNP1 and SNP2 were associated with the meat quality traits (MQTs) including back fat thickness, loin muscle area and intramuscular fat content. SNP3 was found to be associated with part of the body measurement traits (BMTs) which referred to withers height and chest depth. In addition, QTL pyramiding analysis showed that individuals with diplotype P3P3 (GG-GG-CC) exhibited the best performance in terms of back fat thickness, loin muscle area, intramuscular fat content, rump length, hip width, chest depth and chest circumference. With regard to the G4877A mutation, real time PCR analysis revealed that individuals with AA genotype of the Ucp3 gene expressed higher mRNA levels than those with GG genotype. These results suggest that the diplotype P3P3 (GG-GG-CC) could be used as a molecular marker of the combined genotypes for future selection of body measurement traits and meat quality traits in Qinchuan cattle.
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Affiliation(s)
- Yaning Wang
- College of Animal Science and Technology, Northwest A and F University, Yangling, Shaanxi 712100, People's Republic of China.
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Zhang W, Li J, Guo Y, Zhang L, Xu L, Gao X, Zhu B, Gao H, Ni H, Chen Y. Multi-strategy genome-wide association studies identify the DCAF16-NCAPG region as a susceptibility locus for average daily gain in cattle. Sci Rep 2016; 6:38073. [PMID: 27892541 PMCID: PMC5125095 DOI: 10.1038/srep38073] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 11/04/2016] [Indexed: 01/16/2023] Open
Abstract
Average daily gain (ADG) is the most economically important trait in beef cattle industry. Using genome-wide association study (GWAS) approaches, previous studies have identified several causal variants within the PLAG1, NCAPG and LCORL genes for ADG in cattle. Multi-strategy GWASs were implemented in this study to improve detection and to explore the causal genes and regions. In this study, we conducted GWASs based on the genotypes of 1,173 Simmental cattle. In the SNP-based GWAS, the most significant SNPs (rs109303784 and rs110058857, P = 1.78 × 10−7) were identified in the NCAPG intron on BTA6 and explained 4.01% of the phenotypic variance, and the independent and significant SNP (rs110406669, P = 5.18 × 10−6) explained 3.32% of the phenotypic variance. Similarly, in the haplotype-based GWAS, the most significant haplotype block, Hap-6-N1416 (P = 2.56 × 10−8), spanned 12.7 kb on BTA6 and explained 4.85% of the phenotypic variance. Also, in the gene-based GWAS, seven significant genes were obtained which included DCAF16 and NCAPG. Moreover, analysis of the transcript levels confirmed that transcripts abundance of NCAPG (P = 0.046) and DCAF16 (P = 0.046) were significantly correlated with the ADG trait. Overall, our results from the multi-strategy GWASs revealed the DCAF16-NCAPG region to be a susceptibility locus for ADG in cattle.
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Affiliation(s)
- Wengang Zhang
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Junya Li
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Yong Guo
- Animal Science and Technology College, Beijing University of Agriculture (BUA), Beijing 102206, China
| | - Lupei Zhang
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Lingyang Xu
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Xue Gao
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Bo Zhu
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Huijiang Gao
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Hemin Ni
- Animal Science and Technology College, Beijing University of Agriculture (BUA), Beijing 102206, China
| | - Yan Chen
- Cattle Genetics and Breeding Group, Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
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