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Polymorphisms of the Growth Hormone Releasing Hormone Receptor Gene Affect Body Conformation Traits in Chinese Dabieshan Cattle. Animals (Basel) 2022; 12:ani12131601. [PMID: 35804502 PMCID: PMC9265053 DOI: 10.3390/ani12131601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/15/2022] [Accepted: 06/17/2022] [Indexed: 11/17/2022] Open
Abstract
This study was performed to expose the polymorphisms of the growth hormone-releasing hormone receptor gene in Chinese Dabieshan cattle, evaluate its effect on body conformation traits, and find potential molecular markers in Chinese cattle. The GHRHR structure and the phylogenetic tree were analyzed using bioinformatics software. The polymorphism of the GHRHR gene in 486 female cattle was genotyped by PCR-RFLP and DNA sequencing, and the association between SNPs and body conformation traits of Chinese Dabieshan cattle was analyzed by one-way ANOVA in SPSS software. GHRHR was often conserved in nine species, and its sequence of cattle was closest to sheep and goats. Six polymorphic SNPs were identified, g.10667A > C and g.10670A > C were missense mutation. The association analysis indicated that the six SNPs significantly influenced the body conformation traits of Chinese Dabieshan cattle (p < 0.05). Six haplotypes were identified and Hap1 (-CAACGA-) had the highest frequency (36.10%). The Hap3/5 (-GCCCCCGGAAGG-) exhibited a significantly greater wither height (WH), hip height (HH), heart girth (HG), and hip width (HW) (p < 0.05). Overall, the polymorphisms of GHRHR affected the body conformation traits of Chinese Dabieshan cattle, and the GHRHR gene could be used as a molecular marker in Dabieshan cattle breeding programs.
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Vahedi SM, Salek Ardestani S, Karimi K, Banabazi MH. Weighted single-step GWAS for body mass index and scans for recent signatures of selection in Yorkshire pigs. J Hered 2022; 113:325-335. [DOI: 10.1093/jhered/esac004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 01/24/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Controlling extra fat deposition is economically favorable in modern swine industry. Understanding the genetic architecture of fat deposition traits such as body mass index (BMI) can help in improving genomic selection for such traits. We utilized a weighted single-step genome-wide association study (WssGWAS) to detect genetic regions and candidate genes associated with BMI in a Yorkshire pig population. Three extended haplotype homozygosity (EHH)-related statistics were also incorporated within a de-correlated composite of multiple signals (DCMS) framework to detect recent selection signatures signals. Overall, the full pedigree consisted of 7,016 pigs, of which 5,561 had BMI records and 598 pigs were genotyped with an 80 K single nucleotide polymorphism (SNP) array. Results showed that the most significant windows (top 15) explained 9.35% of BMI genetic variance. Several genes were detected in regions previously associated with pig fat deposition traits and treated as potential candidate genes for BMI in Yorkshire pigs: FTMT, SRFBP1, KHDRBS3, FOXG1, SOD3, LRRC32, TSKU, ACER3, B3GNT6, CCDC201, ADCY1, RAMP3, TBRG4, CCM2. Signature of selection analysis revealed multiple candidate genes previously associated with various economic traits. However, BMI genetic variance explained by regions under selection pressure was minimal (1.31%). In conclusion, candidate genes associated with Yorkshire pigs’ BMI trait were identified using WssGWAS. Gene enrichment analysis indicated that the identified candidate genes were enriched in the insulin secretion pathway. We anticipate that these results further advance our understanding of the genetic architecture of BMI in Yorkshire pigs and provide information for genomic selection for fat deposition in this breed.
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Affiliation(s)
- Seyed Milad Vahedi
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS, Canada
| | | | - Karim Karimi
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS, Canada
| | - Mohammad Hossein Banabazi
- Department of Biotechnology, Animal Science Research Institute of Iran, Agricultural Research, Education & Extension Organization, Karaj, Iran
- Department of animal breeding and genetics (HGEN), Centre for Veterinary Medicine and Animal Science (VHC), Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
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Zhao S, Jin H, Xu L, Jia Y. Genetic variants of the growth differentiation factor 8 affect body conformation traits in Chinese Dabieshan cattle. Anim Biosci 2021; 35:517-526. [PMID: 34530508 PMCID: PMC8902205 DOI: 10.5713/ab.21.0166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 08/27/2021] [Indexed: 11/27/2022] Open
Abstract
Objective The growth differentiation factor 8 (GDF8) gene plays a key role in bone formation, resorption, and skeletal muscle development in mammals. Here, we studied the genetic variants of GDF8 and their contribution to body conformation traits in Chinese Dabieshan cattle. Methods Single nucleotide polymorphisms (SNPs) were identified in the bovine GDF8 gene by DNA sequencing. Phylogenetic analysis, motif analysis, and genetic diversity analysis were conducted using bioinformatics software. Association analysis between five SNPs, haplotype combinations, and body conformation traits was conducted in 380 individuals. Results The GDF8 was highly conserved in seven species, and the GDF8 sequence of cattle was most similar to the sequences of sheep and goat based on the phylogenetic analysis. The motif analysis showed that there were 12 significant motifs in GDF8. Genetic diversity analysis indicated that the polymorphism information content of the five studied SNPs was within 0.25 to 0.5. Haplotype analysis revealed a total of 12 different haplotypes and those with a frequency of <0.05 were excluded. Linkage disequilibrium analysis showed a strong linkage (r2>0.330) between the following SNPs: g.5070C>A, g.5076T>C, and g.5148A>C. Association analysis indicated these five SNPs were associated with some of the body conformation traits (p<0.05), and the animals with haplotype combination H1H1 (-GGGG CCTTAA-) had greater wither height, hip height, heart girth, abdominal girth, and pin bone width than the other (p<0.05) Dabieshan cattle. Conclusion Overall, our results indicate that the genetic variants of GDF8 affected the body conformation traits of Chinese Dabieshan cattle, and the GDF8 gene could make a strong candidate gene in Dabieshan cattle breeding programs.
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Affiliation(s)
- Shuanping Zhao
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Hai Jin
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Lei Xu
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Yutang Jia
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
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Identification of genetic variants the CCKAR gene and based on body measurement and carcass quality characteristics in Qinchuan beef cattle (Bos taurus). ELECTRON J BIOTECHN 2021. [DOI: 10.1016/j.ejbt.2021.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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5
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Hongfang G, Khan R, Raza SHA, Nurgulsim K, Suhail SM, Rahman A, Ahmed I, Ijaz A, Ahmad I, Linsen Z. Transcriptional regulation of adipogenic marker genes for the improvement of intramuscular fat in Qinchuan beef cattle. Anim Biotechnol 2020; 33:776-795. [PMID: 33151113 DOI: 10.1080/10495398.2020.1837847] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The intramuscular fat content plays a crucial role in meat quality traits. Increasing the degree of adipogenesis in beef cattle leads to an increase in the content of intramuscular fat. Adipogenesis a complex biochemical process which is under firm genetic control. Over the last three decades, the Qinchuan beef cattle have been extensively studied for the improvement of meat production and quality traits. In this study, we reviewed the literature regarding adipogenesis and intramuscular fat deposition. Then, we summarized the research conducted on the transcriptional regulation of key adipogenic marker genes, and also reviewed the roles of adipogenic marker genes in adipogenesis of Qinchuan beef cattle. This review will elaborate our understanding regarding transcriptional regulation which is a vital physiological process regulated by a cascade of transcription factors (TFs), key target marker genes, and regulatory proteins. This synergistic action of TFs and target genes ensures the accurate and diverse transmission of the genetic information for the accomplishment of central physiological processes. This information will provide an insight into the transcriptional regulation of the adipogenic marker genes and its role in bovine adipogenesis for the breed improvement programs especially for the trait of intramuscular fat deposition.
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Affiliation(s)
- Guo Hongfang
- Medical College of Xuchang University, Xuchang City, Henan Province, P. R. China
| | - Rajwali Khan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, P. R. China.,Department of Livestock Management, Breeding and Genetics, The University of Agriculture, Peshawar, Pakistan
| | - Sayed Haidar Abbas Raza
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, P. R. China
| | - Kaster Nurgulsim
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, P. R. China
| | - Syed Muhammad Suhail
- Department of Livestock Management, Breeding and Genetics, The University of Agriculture, Peshawar, Pakistan
| | - Abdur Rahman
- Department of Livestock Management, Breeding and Genetics, The University of Agriculture, Peshawar, Pakistan
| | - Ijaz Ahmed
- Department of Livestock Management, Breeding and Genetics, The University of Agriculture, Peshawar, Pakistan
| | - Asim Ijaz
- Department of Livestock Management, Breeding and Genetics, The University of Agriculture, Peshawar, Pakistan
| | - Iftikhar Ahmad
- Department of Livestock Management, Breeding and Genetics, The University of Agriculture, Peshawar, Pakistan
| | - Zan Linsen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, P. R. China
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MALDI-TOF-MS-based high throughput genotyping of mutations associated with body measurement traits in cattle. Mamm Genome 2020; 31:228-239. [PMID: 32385542 DOI: 10.1007/s00335-020-09840-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 04/22/2020] [Indexed: 10/24/2022]
Abstract
Exploration of genes in relation to body measurement traits through large-scaled mutation identification is highly conductive for the genomics-assisted breeding of superior productivity cattle. In this investigation, 31 objective mutations were genotyped synchronously in 384 yellow cattle of 8 breeds through the application of optimized MALDI-TOF-MS and multiplex PCR techniques. High genotyping rate was obtained as well as greatly decreased cost which was below one thirtieth of the routine analysis. Results from genotyping revealed 23 mutations as valid mutations in the studied cattle population with gene heterozygosity and effective allele number varying from 0.0052 to 0.4998 and 1.0052 to 1.9991, respectively. Among the 23 effective mutations, 12 was classified as moderate polymorphism (0.25 < PIC < 0.5) while the other 11 belonged to low polymorphism (PIC < 0.25), 7 mutations did not obey the HW equilibrium (p < 0.05) and linkage mainly appeared between mutations of UCP2 and PTHR1 genes. Furthermore, 8 body measurement traits in the 384 cattle were recorded to validate their association with tag mutations, and significant correlations were found in 12 mutations of 9 genes including PTHR1, CDK6, IHH, HHIP, GHRL, COL1A1, INS, GDF5 and UCP2, of which, PTHR1 was proved to be the most potential contributor to bone modeling in cattle. Results highlight the potential application value of 12 novel mutations in enhancing cattle production traits as well as the high genotyping rate achieved by MALDI-TOF-MS coupled with multiplex PCR technique.
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Shi K, Niu F, Zhang Q, Ning C, Yue S, Hu C, Xu Z, Wang S, Li R, Hou Q, Wang Z. Identification of Whole-Genome Significant Single Nucleotide Polymorphisms in Candidate Genes Associated With Serum Biochemical Traits in Chinese Holstein Cattle. Front Genet 2020; 11:163. [PMID: 32194633 PMCID: PMC7065260 DOI: 10.3389/fgene.2020.00163] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 02/12/2020] [Indexed: 11/13/2022] Open
Abstract
A genome-wide association study (GWAS) was conducted on 23 serum biochemical traits in Chinese Holstein cattle. The experimental population consisted of 399 cattle, each genotyped by a commercial bovine 50K SNP chip, which had 49,663 SNPs. After data cleaning, 41,092 SNPs from 361 Holstein cattle were retained for GWAS. The phenotypes were measured values of serum measurements of these animals that were taken at 11 days after parturition. Two statistical models, a fixed-effect linear regression model (FLM) and a mixed-effect linear model (MLM), were used to estimate the association effects of SNPs. Genome-wide significant and suggestive thresholds were set up to be 1.22E-06 and 2.43E-06, respectively. In the Chinese Holstein population, FLM identified 81 genome-wide significant (0.05/41,092 = 1.22E-06) SNPs associated with 11 serum traits. Among these SNPs, five SNPs (BovineHD0100005950, ARS-BFGL-NGS-115158, BovineHD1500021175, BovineHD0800028900, and BTB-00442438) were also identified by the MLM to have genome-wide suggestive effects on CHE, DBIL, and LDL. Both statistical models pinpointed two SNPs that had significant effects on the Holstein population. The SNP BovineHD0800028900 (located near the gene LOC101903458 on chromosome 8) was identified to be significantly associated with serum high- and low-density lipoprotein (HDL and LDL), whereas BovineHD1500021175 (located in 73.4Mb on chromosome 15) was an SNP significantly associated with total bilirubin and direct bilirubin (TBIL and DBIL). Further analyses are needed to identify the causal mutations affecting serum traits and to investigate the correlation of effects for loci associated with fatty liver disease in dairy cattle.
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Affiliation(s)
- Kerong Shi
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Fugui Niu
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Qin Zhang
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Chao Ning
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Shujian Yue
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Chengzhang Hu
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Zhongjin Xu
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Shengxuan Wang
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Ranran Li
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Qiuling Hou
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
| | - Zhonghua Wang
- College of Animal Science and Technology, Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, Shandong Agricultural University, Taian, China
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Campos GS, Sollero BP, Reimann FA, Junqueira VS, Cardoso LL, Yokoo MJI, Boligon AA, Braccini J, Cardoso FF. Tag‐SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle. J Anim Breed Genet 2019; 137:449-467. [DOI: 10.1111/jbg.12458] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 11/03/2019] [Accepted: 11/05/2019] [Indexed: 01/20/2023]
Affiliation(s)
| | | | | | | | - Leandro Lunardini Cardoso
- Departamento de Zootecnia Universidade Federal de Pelotas Pelotas Brazil
- Embrapa Pecuária Sul Bagé Brazil
| | | | | | - José Braccini
- Departamento de Zootecnia Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
| | - Fernando Flores Cardoso
- Departamento de Zootecnia Universidade Federal de Pelotas Pelotas Brazil
- Embrapa Pecuária Sul Bagé Brazil
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Wang Y, Guo W, Xu H, Tang K, Zan L, Yang W. Melatonin suppresses milk fat synthesis by inhibiting the mTOR signaling pathway via the MT1 receptor in bovine mammary epithelial cells. J Pineal Res 2019; 67:e12593. [PMID: 31278759 DOI: 10.1111/jpi.12593] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 06/30/2019] [Accepted: 07/01/2019] [Indexed: 01/13/2023]
Abstract
Milk fat content is an important criterion for assessing milk quality and is one of the main target traits of dairy cattle breeding. Recent studies have shown the importance of melatonin in regulating lipid metabolism, but the potential effects of melatonin on milk fat synthesis in bovine mammary epithelial cells (BMECs) remain unclear. Here, we showed that melatonin supplementation at 10 μmol/L significantly downregulated the mRNA expression of lipid metabolism-related genes and resulted in lower lipid droplet formation and triglyceride accumulation. Moreover, melatonin significantly upregulated melatonin receptor subtype melatonin receptor 1a (MT1) gene expression, and the negative effects of melatonin on milk fat synthesis were reversed by treatment with the nonselective MT1/melatonin receptor subtype melatonin receptor 1b (MT2) antagonist. However, a selective MT2 antagonist did not modify the negative effects of melatonin on milk fat synthesis. In addition, KEGG analysis revealed that melatonin inhibition of milk fat synthesis may occur via the mTOR signaling pathway. Further analysis revealed that melatonin significantly suppressed the activation of the mTOR pathway by restricting the phosphorylation of mTOR, 4E-BP1, and p70S6K, and the inhibition of melatonin on milk fat synthesis was reversed by mTOR activator MHY1485 in BMECs. Furthermore, in vivo experiments in Holstein dairy cows showed that exogenous melatonin significantly decreased milk fat concentration. Our data from in vitro and in vivo studies revealed that melatonin suppresses milk fat synthesis by inhibiting the mTOR signaling pathway via the MT1 receptor in BMECs. These findings lay a foundation to identify a new potential means for melatonin to modulate the fat content of raw milk in Holstein dairy cows.
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Affiliation(s)
- Yujuan Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- The Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Wenli Guo
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Haichao Xu
- College of Animal Science and Technology, Shandong Agricultural University, Taian, China
| | - Keqiong Tang
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- The Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Wucai Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
- The Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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10
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Wu S, Ning Y, Raza SHA, Zhang C, Zhang L, Cheng G, Wang H, Schreurs N, Zan L. Genetic variants and haplotype combination in the bovine CRTC3 affected conformation traits in two Chinese native cattle breeds (Bos Taurus). Genomics 2018; 111:1736-1744. [PMID: 30529539 DOI: 10.1016/j.ygeno.2018.11.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 09/12/2018] [Accepted: 11/28/2018] [Indexed: 12/20/2022]
Abstract
CREB-regulated transcription coactivator 3 (CRTC3) plays an extensive role in glucose and lipid metabolism. This study investigated the genetic variation and haplotype combination in CRTC3 and verified their contribution to bovine growth traits. Firstly, investigated the mRNA expression of CRTC3 in adult Qinchuan cattle and evaluated the effects that genetic variation of CRTC3 had on conformation and carcass traits in two Chinese cattle breeds (Qinchuan and Jiaxian). Four SNPs (single nucleotide polymorphisms) were identified including two in introns (SNP1: g.62652 A > G and SNP4: g.91297C > T) and two in exons (SNP2 g.62730C > T and SNP3: g.66478G > C). The association and haplotype combination results showed that there was an association with some growth and carcass traits(P < 0.05). Individuals with haplotype combination H1H1 (-AACCCCTT-) were associated with a conformation of a larger framed animal and an animal that produced a larger loin area. Variations in the CRTC3 genes and the haplotype combination H1H1 may be considered as molecular markers for carcass traits that are associated with more lean meat yield for use in cattle breeding programs in China.
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Affiliation(s)
- Sen Wu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China; Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, Qinghai 810016, PR China
| | - Yue Ning
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Sayed Haidar Abbas Raza
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Chengtu Zhang
- Animal Husbandry and Veterinary Station in Xining City, Xining, Qinghai 810003, PR China
| | - Le Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Gong Cheng
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China; National Beef Cattle Improvement Center of Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Hongbao Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China; National Beef Cattle Improvement Center of Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Nicola Schreurs
- Animal Science, School of Agriculture and Environment, Massey University, Private Bag 11222, Palmerston North, New Zealand
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China; National Beef Cattle Improvement Center of Northwest A&F University, Yangling, Shaanxi 712100, PR China.
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Wu S, Wang Y, Ning Y, Guo H, Wang X, Zhang L, Khan R, Cheng G, Wang H, Zan L. Genetic Variants in STAT3 Promoter Regions and Their Application in Molecular Breeding for Body Size Traits in Qinchuan Cattle. Int J Mol Sci 2018; 19:ijms19041035. [PMID: 29596388 PMCID: PMC5979584 DOI: 10.3390/ijms19041035] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 03/22/2018] [Accepted: 03/26/2018] [Indexed: 11/16/2022] Open
Abstract
Signal transducer and activator of transcription 3 (STAT3) plays a critical role in leptin-mediated regulation of energy metabolism. This study investigated genetic variation in STAT3 promoter regions and verified their contribution to bovine body size traits. We first estimated the degree of conservation in STAT3, followed by measurements of its mRNA expression during fetal and adult stages of Qinchuan cattle. We then sequenced the STAT3 promoter region to determine genetic variants and evaluate their association with body size traits. From fetus to adult, STAT3 expression increased significantly in muscle, fat, heart, liver, and spleen tissues (p < 0.01), but decreased in the intestine, lung, and rumen (p < 0.01). We identified and named five single nucleotide polymorphisms (SNPs): SNP1-304A>C, SNP2-285G>A, SNP3-209A>C, SNP4-203A>G, and SNP5-188T>C. These five mutations fell significantly outside the Hardy-Weinberg equilibrium (HWE) (Chi-squared test, p < 0.05) and significantly associated with body size traits (p < 0.05). Individuals with haplotype H3H3 (CC-GG-CC-GG-CC) were larger in body size than other haplotypes. Therefore, variations in the STAT3 gene promoter regions, most notably haplotype H3H3, may benefit marker-assisted breeding of Qinchuan cattle.
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Affiliation(s)
- Sen Wu
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Yaning Wang
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Yue Ning
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Hongfang Guo
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Xiaoyu Wang
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Le Zhang
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Rajwali Khan
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
| | - Gong Cheng
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
- National Beef Cattle Improvement Center of Northwest A & F University, Yangling 712100, China.
| | - Hongbao Wang
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
- National Beef Cattle Improvement Center of Northwest A & F University, Yangling 712100, China.
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, China.
- National Beef Cattle Improvement Center of Northwest A & F University, Yangling 712100, China.
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