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Wang T, Ma X, Feng F, Zheng F, Zheng Q, Zhang J, Zhang M, Ma C, Deng J, Guo X, Chu M, La Y, Bao P, Pan H, Liang C, Yan P. Study on Single Nucleotide Polymorphism of LAP3 Gene and Its Correlation with Dairy Quality Traits of Gannan Yak. Foods 2024; 13:2953. [PMID: 39335882 PMCID: PMC11431709 DOI: 10.3390/foods13182953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 09/08/2024] [Accepted: 09/12/2024] [Indexed: 09/30/2024] Open
Abstract
This study explored the polymorphism of the leucine aminopeptidase (LAP3) gene and its relationship with milk quality characteristics in Gannan yak. A cohort of 162 Gannan yak was genotyped utilizing the Illumina Yak cGPS 7K BeadChip, and the identified single nucleotide polymorphisms (SNPs) were evaluated for their association with milk protein, casein, lactose, and fat concentrations. The results showed that four SNPs (g.4494G > A, g.5919A > G, g.8033G > C, and g.15,615A > G) in the LAP3 gene exhibited polymorphism with information content values of 0.267, 0.267, 0.293, and 0.114, respectively. All four SNPs were in Hardy-Weinberg equilibrium (p > 0.05). The g.4494G > A and g.5919A > G SNPs were significantly associated with protein content (p < 0.05), with homozygous genotypes showing significantly higher protein content than heterozygous genotypes (p < 0.05). The g.8033G > C SNP was significantly associated with casein content, protein content, non-fat solids, and acidity (p < 0.05), with the CC genotype having significantly higher casein, protein, and non-fat solids content than the GG and GC genotypes (p < 0.05). The g.15,615A > G SNP was significantly associated with average fat globule diameter (p < 0.05). In general, the mutations within the LAP3 gene demonstrated a positive impact on milk quality traits in Gannan yak, with mutated genotypes correlating with enhanced milk quality. These results indicate that the LAP3 gene could be a significant or candidate gene affecting milk quality traits in Gannan yak and offer potential genetic markers for molecular breeding programs in this species.
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Affiliation(s)
- Tong Wang
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Xiaoming Ma
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Fen Feng
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Fei Zheng
- Life Science and Engineering College, Northwest Minzu University, Lanzhou 730124, China
| | - Qingbo Zheng
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Juanxiang Zhang
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Minghao Zhang
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Chaofan Ma
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
- Life Science and Engineering College, Northwest Minzu University, Lanzhou 730124, China
| | - Jingying Deng
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Xian Guo
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Min Chu
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Yongfu La
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Pengjia Bao
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Heping Pan
- Life Science and Engineering College, Northwest Minzu University, Lanzhou 730124, China
| | - Chunnian Liang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730000, China
| | - Ping Yan
- Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
- Institute of Western Agriculture, Chinese Academy of Agricultural Sciences, Changji 931100, China
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Snider AP, Yake HK, Granger CD, Rosasco SL, McDaneld TG, Snelling WM, Chase CC, Miles JR, Lents CA, Quail LK, Rich JJ, Epperson KM, Crouse MS, Summers AF, Perry GA, Bennett GL, Cushman RA. Polymorphism of the follicle stimulating hormone receptor does not impact reproductive performance or in-vitro embryo production in beef heifers. Theriogenology 2023; 195:131-137. [DOI: 10.1016/j.theriogenology.2022.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/17/2022] [Accepted: 10/20/2022] [Indexed: 11/17/2022]
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Shao B, Sun H, Ahmad MJ, Ghanem N, Abdel-Shafy H, Du C, Deng T, Mansoor S, Zhou Y, Yang Y, Zhang S, Yang L, Hua G. Genetic Features of Reproductive Traits in Bovine and Buffalo: Lessons From Bovine to Buffalo. Front Genet 2021; 12:617128. [PMID: 33833774 PMCID: PMC8021858 DOI: 10.3389/fgene.2021.617128] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 02/25/2021] [Indexed: 11/13/2022] Open
Abstract
Bovine and buffalo are important livestock species that have contributed to human lives for more than 1000 years. Improving fertility is very important to reduce the cost of production. In the current review, we classified reproductive traits into three categories: ovulation, breeding, and calving related traits. We systematically summarized the heritability estimates, molecular markers, and genomic selection (GS) for reproductive traits of bovine and buffalo. This review aimed to compile the heritability and genome-wide association studies (GWASs) related to reproductive traits in both bovine and buffalos and tried to highlight the possible disciplines which should benefit buffalo breeding. The estimates of heritability of reproductive traits ranged were from 0 to 0.57 and there were wide differences between the populations. For some specific traits, such as age of puberty (AOP) and calving difficulty (CD), the majority beef population presents relatively higher heritability than dairy cattle. Compared to bovine, genetic studies for buffalo reproductive traits are limited for age at first calving and calving interval traits. Several quantitative trait loci (QTLs), candidate genes, and SNPs associated with bovine reproductive traits were screened and identified by candidate gene methods and/or GWASs. The IGF1 and LEP pathways in addition to non-coding RNAs are highlighted due to their crucial relevance with reproductive traits. The distribution of QTLs related to various traits showed a great differences. Few GWAS have been performed so far on buffalo age at first calving, calving interval, and days open traits. In addition, we summarized the GS studies on bovine and buffalo reproductive traits and compared the accuracy between different reports. Taken together, GWAS and candidate gene approaches can help to understand the molecular genetic mechanisms of complex traits. Recently, GS has been used extensively and can be performed on multiple traits to improve the accuracy of prediction even for traits with low heritability, and can be combined with multi-omics for further analysis.
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Affiliation(s)
- Baoshun Shao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Hui Sun
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Muhammad Jamil Ahmad
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Nasser Ghanem
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Hamdy Abdel-Shafy
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Chao Du
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Tingxian Deng
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, China
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan
| | - Yang Zhou
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction, Wuhan, China
- Hubei Province’s Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
| | - Yifen Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, Egypt
| | - Shujun Zhang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction, Wuhan, China
- Hubei Province’s Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
| | - Liguo Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction, Wuhan, China
- Hubei Province’s Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
| | - Guohua Hua
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- International Joint Research Centre for Animal Genetics, Breeding and Reproduction, Wuhan, China
- Hubei Province’s Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
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Srikanth K, Lee SH, Chung KY, Park JE, Jang GW, Park MR, Kim NY, Kim TH, Chai HH, Park WC, Lim D. A Gene-Set Enrichment and Protein-Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle. Genes (Basel) 2020; 11:E316. [PMID: 32188084 PMCID: PMC7140899 DOI: 10.3390/genes11030316] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/06/2020] [Accepted: 03/12/2020] [Indexed: 02/06/2023] Open
Abstract
Non-synonymous SNPs and protein coding SNPs within the promoter region of genes (regulatory SNPs) might have a significant effect on carcass traits. Imputed sequence level data of 10,215 Hanwoo bulls, annotated and filtered to include only regulatory SNPs (450,062 SNPs), were used in a genome-wide association study (GWAS) to identify loci associated with backfat thickness (BFT), carcass weight (CWT), eye muscle area (EMA), and marbling score (MS). A total of 15, 176, and 1 SNPs were found to be significantly associated (p < 1.11 × 10-7) with BFT, CWT, and EMA, respectively. The significant loci were BTA4 (CWT), BTA6 (CWT), BTA14 (CWT and EMA), and BTA19 (BFT). BayesR estimated that 1.1%~1.9% of the SNPs contributed to more than 0.01% of the phenotypic variance. So, the GWAS was complemented by a gene-set enrichment (GSEA) and protein-protein interaction network (PPIN) analysis in identifying the pathways affecting carcass traits. At p < 0.005 (~2,261 SNPs), 25 GO and 18 KEGG categories, including calcium signaling, cell proliferation, and folate biosynthesis, were found to be enriched through GSEA. The PPIN analysis showed enrichment for 81 candidate genes involved in various pathways, including the PI3K-AKT, calcium, and FoxO signaling pathways. Our finding provides insight into the effects of regulatory SNPs on carcass traits.
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Affiliation(s)
- Krishnamoorthy Srikanth
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Seung-Hwan Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea;
| | - Ki-Yong Chung
- Department of Beef Science, Korea National College of Agriculture and Fisheries, Jeonju 54874, Korea;
| | - Jong-Eun Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Gul-Won Jang
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Mi-Rim Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Na Yeon Kim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Tae-Hun Kim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Han-Ha Chai
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Won Cheoul Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Dajeong Lim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
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Matsumoto H, Kohara R, Sugi M, Usui A, Oyama K, Mannen H, Sasazaki S. The non-synonymous mutation in bovine SPP1 gene influences carcass weight. Heliyon 2019; 5:e03006. [PMID: 31879711 PMCID: PMC6920195 DOI: 10.1016/j.heliyon.2019.e03006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 09/12/2019] [Accepted: 12/05/2019] [Indexed: 01/12/2023] Open
Abstract
Meat quality in beef cattle is controlled by genetic factors. SPP1 (secreted phosphoprotein 1) gene, coding a multifunctional cytokine with diverse biological functions, is the candidate gene influencing carcass traits. In this study, we tried to discover DNA polymorphisms associated with beef quality in bovine SPP1 gene, so that two SNPs (single nucleotide polymorphisms) in the promoter region and one SNP in the CDS (coding sequence) region were identified. Although the formers were predicted to alter SPP1 expression, they did not show any effects on the traits. On the contrary, statistical analysis revealed that g.58675C > T, a non-synonymous mutation from threonine to methionine in the conservative region, had a significant effect on carcass weight. Carcass weight of the animals with C/T allele (473.9 ± 6.0 kg) was significantly heavier than that of the C/C homozygotes (459.2 ± 2.8 kg). Because SPP1 gene functions in skeletal muscle cells as a positive regulator, the non-synonymous mutation might influence muscle development and remodeling, resulting in increased carcass weight of the C/T animals. Our results indicate that the SNP can be applied as a DNA marker for the improvement of beef cattle.
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Affiliation(s)
- Hirokazu Matsumoto
- Laboratory of Animal Genetics, Faculty of Agriculture, Tokai University, Kumamoto, 862-8652, Japan
| | - Ryosuke Kohara
- Laboratory of Animal Genetics, Faculty of Agriculture, Tokai University, Kumamoto, 862-8652, Japan
| | - Makoto Sugi
- Laboratory of Animal Genetics, Faculty of Agriculture, Tokai University, Kumamoto, 862-8652, Japan
| | - Azumi Usui
- Laboratory of Animal Genetics, Faculty of Agriculture, Tokai University, Kumamoto, 862-8652, Japan
| | - Kenji Oyama
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai, Hyogo, 675-2103, Japan
| | - Hideyuki Mannen
- Laboratory of Animal Breeding and Genetics, Graduate School of Agricultural Science, Kobe University, Kobe, 657-8501, Japan
| | - Shinji Sasazaki
- Laboratory of Animal Breeding and Genetics, Graduate School of Agricultural Science, Kobe University, Kobe, 657-8501, Japan
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La Y, Zhang X, Li F, Zhang D, Li C, Mo F, Wang W. Molecular Characterization and Expression of SPP1, LAP3 and LCORL and Their Association with Growth Traits in Sheep. Genes (Basel) 2019; 10:E616. [PMID: 31416156 PMCID: PMC6723280 DOI: 10.3390/genes10080616] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 08/07/2019] [Accepted: 08/09/2019] [Indexed: 01/01/2023] Open
Abstract
The SPP1, LAP3, and LCORL are located on chromosome 6 of sheep and a domain of 36.15-38.56 Mb, which plays an essential role in tissue and embryonic growth. In this study, we cloned the complete coding sequences of SPP1 and partial coding regions of LAP3 and LCORL from Hu sheep (Gansu Province, China) and analyzed their genomic structures. The RT-qPCR showed that the three genes were expressed widely in the different tissues of Hu sheep. The SPP1 expression was significantly higher in the kidney (p < 0.01) and LAP3 expression was significantly higher in the spleen, lung, kidney, and duodenum than in the other tissues (heart, liver, rumen, muscle, fat, and ovary; p < 0.05). The LCORL was preferentially expressed in the spleen, duodenum, and lung (p < 0.05). In addition, the nucleotide substitution NM_001009224.1:c.132A>C was found in SPP1; an association analysis showed that it was associated with birth weight and yearling weight (p < 0.05), and NM_001009224.1:c.132C was the dominant allele. Two mutations XM_012179698.3:c.232C>G and XM_012179698.3:c.1154C>T were identified in LAP3. The nucleotide substitution XM_012179698.3:c.232C>G was confirmed to be associated with birth weight, 1-month weight, 3-month weight (p < 0.05), and 2-month weight (p < 0.01). The nucleotide substitution XM_012179698.3:c.1154C>T was associated with birth weight (p < 0.01), 1-month weight, and 2-month weight (p < 0.05). The LAP3 gene XM_012179698.3:c.232C>G mutation with the C allele has higher body weight than other sheep, and CC genotype individuals show higher birth weight, 1-month weight, and weaning weight than the GG genotype individuals (p < 0.05). Our results support the conclusion that the mutations on ovine SPP1 and LAP3 successfully track functional alleles that affect growth in sheep, and these genes could be used as candidate genes for improving the growth traits of sheep during breeding.
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Affiliation(s)
- Yongfu La
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
- Engineering Laboratory of Sheep Breeding and Reproduction Biotechnology in Gansu Province, Minqin 733300, China
| | - Fadi Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
- Engineering Laboratory of Sheep Breeding and Reproduction Biotechnology in Gansu Province, Minqin 733300, China
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Deyin Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Chong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Futao Mo
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Weimin Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
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Wu G, Bazer FW. Application of new biotechnologies for improvements in swine nutrition and pork production. J Anim Sci Biotechnol 2019; 10:28. [PMID: 31019685 PMCID: PMC6474057 DOI: 10.1186/s40104-019-0337-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 02/17/2019] [Indexed: 12/18/2022] Open
Abstract
Meeting the increasing demands for high-quality pork protein requires not only improved diets but also biotechnology-based breeding to generate swine with desired production traits. Biotechnology can be classified as the cloning of animals with identical genetic composition or genetic engineering (via recombinant DNA technology and gene editing) to produce genetically modified animals or microorganisms. Cloning helps to conserve species and breeds, particularly those with excellent biological and economical traits. Recombinant DNA technology combines genetic materials from multiple sources into single cells to generate proteins. Gene (genome) editing involves the deletion, insertion or silencing of genes to produce: (a) genetically modified pigs with important production traits; or (b) microorganisms without an ability to resist antimicrobial substances. Current gene-editing tools include the use of zinc finger nuclease (ZFN), transcription activator-like effector nuclease (TALEN), or clustered regularly interspaced short palindromic repeats-associated nuclease-9 (CRISPR/Cas9) as editors. ZFN, TALEN, or CRISPR/Cas9 components are delivered into target cells through transfection (lipid-based agents, electroporation, nucleofection, or microinjection) or bacteriophages, depending on cell type and plasmid. Compared to the ZFN and TALEN, CRISPR/Cas9 offers greater ease of design and greater flexibility in genetic engineering, but has a higher frequency of off-target effects. To date, genetically modified pigs have been generated to express bovine growth hormone, bacterial phytase, fungal carbohydrases, plant and C. elagan fatty acid desaturases, and uncoupling protein-1; and to lack myostatin, α-1,3-galactosyltransferase, or CD163 (a cellular receptor for the "blue ear disease" virus). Biotechnology holds promise in improving the efficiency of swine production and developing alternatives to antibiotics in the future.
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Affiliation(s)
- Guoyao Wu
- Department of Animal Science and Center for Animal Biotechnology and Genomics, Texas A&M University, College Station, TX 77843-2471 USA
| | - Fuller W Bazer
- Department of Animal Science and Center for Animal Biotechnology and Genomics, Texas A&M University, College Station, TX 77843-2471 USA
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Kułaj D, Pokorska J, Ochrem A, Dusza M, Makulska J. Effects of the c.8514C > T polymorphism in the osteopontin gene (OPN) on milk production, milk composition and disease susceptibility in Holstein-Friesian cattle. ITALIAN JOURNAL OF ANIMAL SCIENCE 2019. [DOI: 10.1080/1828051x.2018.1547129] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Dominika Kułaj
- Zakład Hodowli Bydła, Uniwersytet Rolniczy w Krakowie, Krakow, Poland
| | - Joanna Pokorska
- Zakład Hodowli Bydła, Uniwersytet Rolniczy w Krakowie, Krakow, Poland
| | - Andrzej Ochrem
- Zakład Hodowli Bydła, Uniwersytet Rolniczy w Krakowie, Krakow, Poland
| | - Magdalena Dusza
- Zakład Hodowli Bydła, Uniwersytet Rolniczy w Krakowie, Krakow, Poland
| | - Joanna Makulska
- Zakład Hodowli Bydła, Uniwersytet Rolniczy w Krakowie, Krakow, Poland
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Preselection statistics and Random Forest classification identify population informative single nucleotide polymorphisms in cosmopolitan and autochthonous cattle breeds. Animal 2018. [DOI: 10.1017/s1751731117001355] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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10
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Association of a Cac8I polymorphism in the IGF1 gene with growth traits in Indian goats. J Genet Eng Biotechnol 2017; 15:7-11. [PMID: 30647636 PMCID: PMC6296596 DOI: 10.1016/j.jgeb.2017.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 01/06/2017] [Accepted: 04/05/2017] [Indexed: 11/20/2022]
Abstract
The Insulin-like Growth Factor 1 (IGF1) gene is a member of somatotropic axis and plays a key role in proliferation of cells, mitosis, myogenesis, meiosis, differentiation in foetal development and post natal growth. The objectives of this study were to verify the single nucleotide polymorphisms (SNPs) in IGF1 gene and their association with growth traits in two indigenous native goat genetic groups of Kerala, viz., Malabari and Attappady Black. A total of 277 goats were genotyped using a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) using the restriction enzyme Cac8I. One SNP, A224G was detected in the 5′ non-coding region of the IGF1 gene, and accordingly two genotypes were revealed, GG and AG. This SNP was significantly associated with growth traits in Attappady Black goats, which is maintained as meat breed in Kerala. Results from this study demonstrated higher performance of GG animals for growth traits. The association of IGF1 gene with these traits emphasizes the importance of caprine IGF1 as a candidate gene for growth traits in goat breeding.
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GLI3 Links Environmental Arsenic Exposure and Human Fetal Growth. EBioMedicine 2015; 2:536-43. [PMID: 26288817 PMCID: PMC4535308 DOI: 10.1016/j.ebiom.2015.04.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Revised: 04/29/2015] [Accepted: 04/30/2015] [Indexed: 12/11/2022] Open
Abstract
Although considerable evidence suggests that in utero arsenic exposure affects children's health, these data are mainly from areas of the world where groundwater arsenic levels far exceed the World Health Organization limit of 10 μg/L. We, and others, have found that more common levels of in utero arsenic exposure may also impact children's health. However, the underlying molecular mechanisms are poorly understood. To address this issue, we analyzed the expression of key developmental genes in fetal placenta in a birth cohort of women using unregulated water supplies in a US region with elevated groundwater arsenic. We identified several genes whose expression associated with maternal arsenic exposure in a fetal sex-specific manner. In particular, expression of the HEDGEHOG pathway component, GLI3, in female placentae was both negatively associated with arsenic exposure and positively associated with infant birth weight. This suggests that modulation of GLI3 in the fetal placenta, and perhaps in other fetal tissues, contributes to arsenic's detrimental effects on fetal growth. We showed previously that arsenic-exposed NIH3T3 cells have reduced GLI3 repressor protein. Together, these studies identify GLI3 as a key signaling node that is affected by arsenic, mediating a subset of its effects on developmental signaling and fetal health. In utero arsenic exposure associates with the expression of several key developmental genes in the fetal placenta. There is extensive sexual dimorphism in the associations between placental gene expression and in utero arsenic exposure. GLI3 expression in the female fetal placenta associates with arsenic exposure and may mediate its effects on fetal growth.
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Ali A, Khatkar M, Kadarmideen H, Thomson P. Additive and epistatic genome-wide association for growth and ultrasound scan measures of carcass-related traits in Brahman cattle. J Anim Breed Genet 2015; 132:187-97. [DOI: 10.1111/jbg.12147] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Accepted: 02/02/2015] [Indexed: 11/28/2022]
Affiliation(s)
- A.A. Ali
- Faculty of Veterinary Science; University of Sydney; Camden NSW Australia
| | - M.S. Khatkar
- Faculty of Veterinary Science; University of Sydney; Camden NSW Australia
| | - H.N. Kadarmideen
- Faculty of Health and Medical Sciences; University of Copenhagen; Frederiksberg C Denmark
| | - P.C. Thomson
- Faculty of Veterinary Science; University of Sydney; Camden NSW Australia
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Liu X, Usman T, Wang Y, Wang Z, Xu X, Wu M, Zhang Y, Zhang X, Li Q, Liu L, Shi W, Qin C, Geng F, Wang C, Tan R, Huang X, Liu A, Wu H, Tan S, Yu Y. Polymorphisms in epigenetic and meat quality related genes in fourteen cattle breeds and association with beef quality and carcass traits. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2015; 28:467-75. [PMID: 25656186 PMCID: PMC4341095 DOI: 10.5713/ajas.13.0837] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2013] [Revised: 02/21/2014] [Accepted: 08/14/2014] [Indexed: 01/19/2023]
Abstract
Improvement for carcass traits related to beef quality is the key concern in beef production. Recent reports found that epigenetics mediates the interaction of individuals with environment and nutrition. The present study was designed to analyze the genetic effect of single nucleotide polymorphisms (SNPs) in seven epigenetic-related genes (DNMT1, DNMT3a, DNMT3b, DNMT3L, Ago1, Ago2, and HDAC5) and two meat quality candidate genes (CAPN1 and PRKAG3) on fourteen carcass traits related to beef quality in a Snow Dragon beef population, and also to identify SNPs in a total of fourteen cattle populations. Sixteen SNPs were identified and genotyped in 383 individuals sampled from the 14 cattle breeds, which included 147 samples from the Snow Dragon beef population. Data analysis showed significant association of 8 SNPs within 4 genes related to carcass and/or meat quality traits in the beef populations. SNP1 (13154420A>G) in exon 17 of DNMT1 was significantly associated with rib-eye width and lean meat color score (p<0.05). A novel SNP (SNP4, 76198537A>G) of DNMT3a was significantly associated with six beef quality traits. Those individuals with the wild-type genotype AA of DNMT3a showed an increase in carcass weight, chilled carcass weight, flank thicknesses, chuck short rib thickness, chuck short rib score and in chuck flap weight in contrast to the GG genotype. Five out of six SNPs in DNMT3b gene were significantly associated with three beef quality traits. SNP15 (45219258C>T) in CAPN1 was significantly associated with chuck short rib thickness and lean meat color score (p<0.05). The significant effect of SNP15 on lean meat color score individually and in combination with each of other 14 SNPs qualify this SNP to be used as potential marker for improving the trait. In addition, the frequencies of most wild-type alleles were higher than those of the mutant alleles in the native and foreign cattle breeds. Seven SNPs were identified in the epigenetic-related genes. The SNP15 in CAPN1 could be used as a powerful genetic marker in selection programs for beef quality improvement in the Snow Dragon Beef population.
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Affiliation(s)
- Xuan Liu
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Tahir Usman
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China ; Department of Animal Health, The University of Agriculture, Peshawar, Peshawar 25000, Pakistan
| | - Yachun Wang
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Zezhao Wang
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xianzhou Xu
- Dalian Xuelong Industry Limited Group, Dalian 116001, China
| | - Meng Wu
- Dalian Xuelong Industry Limited Group, Dalian 116001, China
| | - Yi Zhang
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xu Zhang
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Qiang Li
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lin Liu
- Beijing Dairy Cattle Center, Beijing 100193, China
| | - Wanhai Shi
- Beijing Dairy Cattle Center, Beijing 100193, China
| | - Chunhua Qin
- Ningxia Sygen BioEngineering Research Center, Yinchuan 750000, China
| | - Fanjun Geng
- Dingyuan Seedstock Bulls Breeding Ltd. Company, Zhengzhou 450000, China
| | - Congyong Wang
- Dingyuan Seedstock Bulls Breeding Ltd. Company, Zhengzhou 450000, China
| | - Rui Tan
- Xinjiang General Livestock Service, Urumqi 830000, China
| | - Xixia Huang
- College of Animal Science, Xinjiang Agriculture University, Urumqi 830000 China
| | - Airong Liu
- Xiertala Breeding Farm, Hailaer Farm Buro, Hailaer 021008, China
| | - Hongjun Wu
- Hailaer Farm Buro, Hailaer 021008, China
| | - Shixin Tan
- Xinjiang Tianshan Animal Husbandry Bio-Eng. Co. Ltd, Urumqi 830000, China
| | - Ying Yu
- Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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Lamb GC. Criteria for selecting replacements at weaning, before breeding, and after breeding. Vet Clin North Am Food Anim Pract 2013; 29:567-78. [PMID: 24182435 DOI: 10.1016/j.cvfa.2013.07.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
At weaning, heifers should be considered for replacements based on their dam's previous performance; heifer calving date, age, and weight; and previous exposure to implants. Before breeding, heifers should be selected as replacements based on whether they have attained puberty (determined by a prebreeding examination), do not have abnormal pelvic areas, or fail to meet temperament standards. After breeding, heifers should be selected as replacements if they conceive early in the breeding season, are capable of achieving 85% of their mature weight by calving, and calve at a body condition of 5.5 to 6.0.
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Affiliation(s)
- G Cliff Lamb
- North Florida Research and Education Center, University of Florida, 3925 Highway 71, Marianna, FL 32446, USA.
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Peters SO, Kizilkaya K, Garrick DJ, Fernando RL, Reecy JM, Weaber RL, Silver GA, Thomas MG. Bayesian genome-wide association analysis of growth and yearling ultrasound measures of carcass traits in Brangus heifers1. J Anim Sci 2012. [DOI: 10.2527/jas.2011-4507] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Affiliation(s)
- S. O. Peters
- Department of Animal and Range Sciences, New Mexico State University, Las Cruces 88003
- Department of Animal Sciences, University of Missouri, Columbia 65211
| | - K. Kizilkaya
- Department of Animal Science, Iowa State University, Ames 50011
- Department of Animal Science, Adnan Menderes University, Aydin 09100, Turkey
| | - D. J. Garrick
- Department of Animal Science, Iowa State University, Ames 50011
- Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand
| | - R. L. Fernando
- Department of Animal Science, Iowa State University, Ames 50011
| | - J. M. Reecy
- Department of Animal Science, Iowa State University, Ames 50011
| | - R. L. Weaber
- Department of Animal Sciences, University of Missouri, Columbia 65211
| | - G. A. Silver
- Department of Animal and Range Sciences, New Mexico State University, Las Cruces 88003
| | - M. G. Thomas
- Department of Animal and Range Sciences, New Mexico State University, Las Cruces 88003
- Department of Animal Sciences, Colorado State University, Fort Collins 80523
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Vinet A, Drouilhet L, Bodin L, Mulsant P, Fabre S, Phocas F. Genetic control of multiple births in low ovulating mammalian species. Mamm Genome 2012; 23:727-40. [PMID: 22872147 DOI: 10.1007/s00335-012-9412-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2012] [Accepted: 07/04/2012] [Indexed: 12/23/2022]
Abstract
In mammals, litter size is a highly variable trait. Some species such as humans or cattle are monotocous, with one or sometimes two newborns per birth, whereas others, the polytocous species such as mice or pigs, are highly prolific and often produce a dozen newborns at each farrowing. In monotocous species, however, two or three newborns per birth may sometime be unwanted. In more polytocous species such as sheep or pigs, litter size is studied in order to increase livestock prolificacy. By contrast, twinning rates in humans or cattle may increase birth difficulties and health problems in the newborns. In this context, the aim of our review was to provide a clearer understanding of the genetic and physiological factors that control multiple births in low-ovulating mammalian species, with particular focus on three species: sheep, cattle, and humans, where knowledge of the ovulation rate in one may enlighten findings in the others. This article therefore reviews the phenotypic and genetic variability observed with respect to ovulation and twinning rates. It then presents the QTL and major genes that have been identified in each species. Finally, we draw a picture of the diversity of the physiological mechanisms underlying multiple ovulation. Although several major genes have been discovered in sheep, QTL detection methods in humans or cattle have suggested that the determinism of litter size is complex and probably involves several genes in order to explain variations in the number of ovulations.
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Affiliation(s)
- Aurélie Vinet
- INRA, UMR1313 Génétique Animale et Biologie Intégrative, 78352, Jouy-en-Josas Cedex, France
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Božic AK, Anderson RC, Ricke SC, Crandall PG, O'Bryan CA. Comparison of nitroethane, 2-nitro-1-propanol, lauric acid, Lauricidin® and the Hawaiian marine algae, Chaetoceros, for potential broad-spectrum control of anaerobically grown lactic acid bacteria. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART. B, PESTICIDES, FOOD CONTAMINANTS, AND AGRICULTURAL WASTES 2012; 47:269-274. [PMID: 22428888 DOI: 10.1080/03601234.2012.638883] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The gastrointestinal tract of bovines often contains bacteria that contribute to disorders of the rumen, and may also contain foodborne or opportunistic human pathogens as well as bacteria capable of causing mastitis in cows. Thus there is a need to develop broad-spectrum therapies that are effective while not leading to unacceptably long antibiotic withdrawal times. The effects of the CH(4)-inhibitors nitroethane (2 mg/mL), 2-nitro-1-propanol (2 mg/mL), lauric acid (5 mg/mL), the commercial product Lauricidin® (5 mg/mL), and a finely ground product of the Hawaiian marine algae, Chaetoceros (10 mg/mL), were compared in pure cultures of Streptococcus agalactia, Enterococcus faecium, Streptococcus bovis, and in a mixed lactic acid rumen bacterial culture. Lauricidin® and lauric acid exhibited the most bactericidal acidity against all bacteria. These results suggest potential animal health benefits from supplementing cattle diets with lauric acid or Lauricidin® to improve the health of the rumen and help prevent shedding of human pathogens.
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Affiliation(s)
- Aleksandar K Božic
- Department of Animal Science, Faculty of Agriculture, University of Novi Sad, Republic of Serbia
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Rempel LA, Freking BA, Miles JR, Nonneman DJ, Rohrer GA, Schneider JF, Vallet JL. Association of porcine heparanase and hyaluronidase 1 and 2 with reproductive and production traits in a landrace-duroc-yorkshire population. Front Genet 2011; 2:20. [PMID: 22303316 PMCID: PMC3268575 DOI: 10.3389/fgene.2011.00020] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2011] [Accepted: 04/22/2011] [Indexed: 01/26/2023] Open
Abstract
The ovary and placenta are dynamic structures requiring constant modification both structurally and through cell-cell communication capabilities. The extracellular matrix and basement membranes are primarily composed of a milieu of glycosaminoglycans, including heparan sulfate and hyaluronan. Heparanase (HPSE) and hyaluronidases (HYAL) are responsible for degrading heparan sulfate and hyaluronan, respectively. Therefore, the objective of this study was to evaluate the relationship of SNPs distinct to HPSE, HYAL1, and HYAL2 with measurements of reproduction and production traits in swine. Single trait associations were performed on a Landrace-Duroc-Yorkshire population using SNPs discovered and identified in HPSE, HYAL1, and HYAL2. Analyses were conducted on an extended pedigree and SNPs were found to be associated with reproductive and production traits. Prior to multiple-testing corrections, SNPs within HPSE were weakly associated (P < 0.03) having additive effects with age at puberty (-2.5 ± 1.08 days), ovulation rate (0.5 ± 0.24 corpora lutea), and number of piglets born alive (0.9 ± 0.44 piglets). A HYAL1 and two HYAL2 SNP were nominally associated (P ≤ 0.0063) with number of piglets born alive after multiple-testing corrections (effects between 1.02 and 1.44 piglets), while one of the same HYAL2 markers maintained a modest association (P = 0.0043) having a dominant effect with number of piglets weaned (1.2 ± 0.41 piglets) after multiple-testing correction. Functionally, HPSE and HYAL1 and 2 have been shown to participate in events related to ovarian and placental activity. SNPs from these studies could potentially assist with understanding genetic components underlying sow lifetime productivity as measured by piglet survivability based on number born alive and number weaned, thereby contributing to a greater number of pigs/sow/year.
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Affiliation(s)
- Lea A Rempel
- U.S. Meat Animal Research Center, Agricultural Research Service, U.S. Department of Agriculture Clay Center, NE, USA
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Xu T, Liu J, Yao D, Cai H, Chen H, Zhou H, Lan X. The Prophet of PIT1 Gene Variation and its Effect on Growth Traits in Chinese Indigeous Goat. ACTA ACUST UNITED AC 2010. [DOI: 10.3923/javaa.2010.2940.2946] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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An X, Wang L, Hou J, Li G, Song Y, Wang J, Yang M, Cui Y, Cao B. Novel polymorphisms of goat growth hormone and growth hormone receptor genes and their effects on growth traits. Mol Biol Rep 2010; 38:4037-43. [DOI: 10.1007/s11033-010-0522-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2009] [Accepted: 11/15/2010] [Indexed: 11/24/2022]
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Novel polymorphisms of the growth hormone gene and their effect on growth traits in Chinese goats. Meat Sci 2010; 86:758-63. [PMID: 20643508 DOI: 10.1016/j.meatsci.2010.06.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2009] [Revised: 06/12/2010] [Accepted: 06/15/2010] [Indexed: 11/23/2022]
Abstract
The polymorphisms of the growth hormone (GH) gene were analyzed in 686 individuals from four goat populations, Three haplotypes (A, B and C) and three observed genotypes (AA, AB and AC) were detected at the P2 locus, and three haplotypes (E, F and G) and three observed genotypes (EE, EF and EG) were also detected at the P4 locus. In addition, five single nucleotide polymorphisms (SNPs)-A112G, C142T (Gly>Ser), C214T (P2 locus), C266A (Pro>His) and C214T (P4 locus, Arg>Trp), were identified by GH gene sequencing and PCR-SSCP analysis. The SNPs loci were in Hardy-Weinberg disequilibrium in three goat populations (P<0.05). Association of polymorphisms with growth traits was done in BG, F1 and F1 populations, which were shown to be associated with growth traits in three goat populations. The SNPs in the goat GH gene had significant effects on growth traits (P<0.05). suggesting that the GH gene is a strong candidate gene that affects growth traits in goat.
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Snelling WM, Allan MF, Keele JW, Kuehn LA, McDaneld T, Smith TPL, Sonstegard TS, Thallman RM, Bennett GL. Genome-wide association study of growth in crossbred beef cattle. J Anim Sci 2009; 88:837-48. [PMID: 19966163 DOI: 10.2527/jas.2009-2257] [Citation(s) in RCA: 135] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Chromosomal regions harboring variation affecting cattle birth weight and BW gain to 1 yr of age were identified by marker association using the highly parallel BovineSNP50 BeadChip (50K) assay composed of 54,001 individual SNP. Genotypes were obtained from progeny (F(1); 590 steers) and 2-, 3-, and 4-breed cross grandprogeny (F(1)(2) = F(1) x F(1); 1,306 steers and 707 females) of 150 AI sires representing 7 breeds (22 sires per breed; Angus, Charolais, Gelbvieh, Hereford, Limousin, Red Angus, and Simmental). Genotypes and birth, weaning, and yearling BW records were used in whole-genome association analyses to estimate effects of individual SNP on growth. Traits analyzed included growth component traits: birth weight (BWT), 205-d adjusted birth to weaning BW gain (WG), 160-d adjusted postweaning BW gain (PWG); cumulative traits: 205-d adjusted weaning weight (WW = BWT + WG) and 365-d adjusted yearling weight (YW = BWT + WG + PWG); and indexes of relative differences between postnatal growth and birth weight. Modeled fixed effects included additive effects of calf and dam SNP genotype, year-sex-management contemporary groups, and covariates for calf and dam breed composition and heterosis. Direct and maternal additive polygenic effects and maternal permanent environment effects were random. Missing genotypes, including 50K genotypes of most dams, were approximated with a single-locus BLUP procedure from pedigree relationships and known 50K genotypes. Various association criteria were applied: stringent tests to account for multiple testing but with limited power to detect associations with small effects, and relaxed nominal P that may detect SNP associated with small effects but include excessive false positive associations. Genomic locations of the 231 SNP meeting stringent criteria generally coincided with described previously QTL affecting growth traits. The 12,425 SNP satisfying relaxed tests were located throughout the genome. Most SNP associated with BWT and postnatal growth affected components in the same direction, although detection of SNP associated with one component independent of others presents a possible opportunity for SNP-assisted selection to increase postnatal growth relative to BWT.
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Affiliation(s)
- W M Snelling
- USDA, ARS, US Meat Animal Research Center, PO Box 166, Clay Center, NE 68933, USA.
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Dissection of genetic factors modulating fetal growth in cattle indicates a substantial role of the non-SMC condensin I complex, subunit G (NCAPG) gene. Genetics 2009; 183:951-64. [PMID: 19720859 DOI: 10.1534/genetics.109.106476] [Citation(s) in RCA: 116] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
The increasing evidence of fetal developmental effects on postnatal life, the still unknown fetal growth mechanisms impairing offspring generated by somatic nuclear transfer techniques, and the impact on stillbirth and dystocia in conventional reproduction have generated increasing attention toward mammalian fetal growth. We identified a highly significant quantitative trait locus (QTL) affecting fetal growth on bovine chromosome 6 in a specific resource population, which was set up by consistent use of embryo transfer and foster mothers and, thus, enabled dissection of fetal-specific genetic components of fetal growth. Merging our data with results from other cattle populations differing in historical and geographical origin and with comparative data from human whole-genome association mapping suggests that a nonsynonymous polymorphism in the non-SMC condensin I complex, subunit G (NCAPG) gene, NCAPG c.1326T>G, is the potential cause of the identified QTL resulting in divergent bovine fetal growth. NCAPG gene expression data in fetal placentomes with different NCAPG c.1326T>G genotypes, which are in line with recent results about differential NCAPG expression in placentomes from studies on assisted reproduction techniques, indicate that the NCAPG locus may give valuable information on the specific mechanisms regulating fetal growth in mammals.
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Setoguchi K, Furuta M, Hirano T, Nagao T, Watanabe T, Sugimoto Y, Takasuga A. Cross-breed comparisons identified a critical 591-kb region for bovine carcass weight QTL (CW-2) on chromosome 6 and the Ile-442-Met substitution in NCAPG as a positional candidate. BMC Genet 2009; 10:43. [PMID: 19653884 PMCID: PMC2736976 DOI: 10.1186/1471-2156-10-43] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2009] [Accepted: 08/04/2009] [Indexed: 12/31/2023] Open
Abstract
Background Growth-related traits have been mapped on bovine chromosome 6 (BTA 6) in various bovine breed populations. We previously mapped a significant quantitative trait locus (QTL) for carcass and body weight (CW-2) between 38 and 55 cM on BTA 6 using a Japanese Black half-sib family. Additional QTL mapping studies detected four QTL for body or carcass weight that overlapped with CW-2 in Japanese Black and Japanese Brown half-sib families. To map the region in greater detail, we applied cross-breed comparisons of haplotypes that have been shown to be powerful in canine. Results We used 38 microsatellite markers to search for a shared Q (increasing carcass and/or body weight) haplotype within the 17-cM CW-2 region among five sires. Linkage disequilibrium mapping using maternal alleles of the offspring showed that an 815-kb shared Q haplotype was associated with body or carcass weight in both breeds. The addition of 43 single nucleotide polymorphism (SNP) markers narrowed the region to 591 kb containing 4 genes. The SNP changing Ile-442 to Met in NCAPG (chromosome condensation protein G) was significantly associated with carcass weight (p < 1.2 × 10-11) in a large Japanese Black population as well as in the five families. The Q allele of the SNP was also associated with a larger longissimus muscle area and thinner subcutaneous fat thickness in steers of all five families, indicating that the CW-2 locus is pleiotropic and favorable for marker-assisted selection of beef cattle. Conclusion A 591-kb critical region for CW-2 was identified. The SNP changing Ile-442 to Met in NCAPG (chromosome condensation protein G) can be used as a positional candidate of CW-2 for marker-assisted selection.
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Affiliation(s)
- Kouji Setoguchi
- Shirakawa Institute of Animal Genetics, Japan Livestock Technology Association, Odakura, Nishigo, Fukushima 961-8061, Japan.
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Cushman RA, Allan MF, Kuehn LA, Snelling WM, Cupp AS, Freetly HC. Evaluation of antral follicle count and ovarian morphology in crossbred beef cows: Investigation of influence of stage of the estrous cycle, age, and birth weight1,2. J Anim Sci 2009; 87:1971-80. [DOI: 10.2527/jas.2008-1728] [Citation(s) in RCA: 100] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Alexander LJ, Kuehn LA, Smith TPL, Matukumalli LK, Mote B, Koltes JE, Reecy J, Geary TW, Rule DC, MacNeil MD. A Limousin specific myostatin allele affects longissimus muscle area and fatty acid profiles in a Wagyu-Limousin F2 population1,2. J Anim Sci 2009; 87:1576-81. [DOI: 10.2527/jas.2008-1531] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Allan MF, Kuehn LA, Cushman RA, Snelling WM, Echternkamp SE, Thallman RM. Confirmation of quantitative trait loci using a low-density single nucleotide polymorphism map for twinning and ovulation rate on bovine chromosome 5. J Anim Sci 2008; 87:46-56. [PMID: 18791147 DOI: 10.2527/jas.2008-0959] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Traditional genetic selection in cattle for traits with low heritability, such as reproduction, has had very little success. With the addition of DNA technologies to the genetic selection toolbox for livestock, the opportunity may exist to improve reproductive efficiency more rapidly in cattle. The US Meat Animal Research Center Production Efficiency Population has 9,186 twinning and 29,571 ovulation rate records for multiple generations of animals, but a significant number of these animals do not have tissue samples available for DNA genotyping. The objectives of this study were to confirm QTL for twinning and ovulation rate previously found on BTA5 and to evaluate the ability of GenoProb to predict genotypic information in a pedigree containing 16,035 animals when using genotypes for 24 SNP from 3 data sets containing 48, 724, or 2,900 animals. Marker data for 21 microsatellites on BTA5 with 297 to 3,395 animals per marker were used in conjunction with each data set of genotyped animals. Genotypic probabilities for females were used to calculate independent variables for regressions of additive, dominance, and imprinting effects. Genotypic regressions were fitted as fixed effects in a 2-trait mixed model analysis by using multiple-trait derivative-free REML. Each SNP was analyzed individually, followed by backward selection fitting all individually significant SNP simultaneously and then removing the least significant SNP until only significant SNP were left. Five significant SNP associations were detected for twinning rate and 3 were detected for ovulation rate. Two of these SNP, 1 for each trait, were significant for imprinting. Additional modeling of paternal and maternal allelic effects confirmed the initial results of imprinting done by contrasting heterozygotes. These results are supported by comparative mapping of mouse and human imprinted genes to this region of bovine chromosome 5.
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Affiliation(s)
- M F Allan
- USDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA
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Gutiérrez-Gil B, Williams JL, Homer D, Burton D, Haley CS, Wiener P. Search for quantitative trait loci affecting growth and carcass traits in a cross population of beef and dairy cattle. J Anim Sci 2008; 87:24-36. [PMID: 18791160 DOI: 10.2527/jas.2008-0922] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
A genome scan to detect QTL influencing growth and carcass-related traits was conducted in a Charolais x Holstein crossbred cattle population. Phenotypic measurements related to growth and carcass traits were made on the 235 second-generation crossbred males of this herd (F2 and reciprocal backcrosses), which were born in 4 consecutive annual cohorts. Traits measured in vivo were related to birth dimensions, growth rates, and ultrasound measurements of fat and muscle depth. The animals were slaughtered near a target BW of 550 kg, and a wide range of postmortem traits were measured: visual assessment of carcass conformation and carcass fatness, estimated subcutaneous fat percentage, weights of kidney knob and channel fat, and weights of carcass components after commercial and full-tissue dissections. The whole population, including grandparents, parents, and the crossbred bulls, was genotyped initially for 139 genome-wide microsatellite markers. Twenty-six additional markers were subsequently analyzed to increase marker density on some of the chromosomes where QTL had been initially identified. The linear regression analyses based on the 165 markers revealed a total of 51 significant QTL at the suggestive level, 21 of which were highly significant (F-value >or=9; based on the genome-wide thresholds obtained in the initial scan). A large proportion of the highly significant associations were found on chromosomes 5 and 6. The most highly significant QTL was localized between markers DIK1054 and DIK082 on chromosome 6 and explained about 20% of the phenotypic variance for the total bone proportion estimated after the commercial dissection. In the adjacent marker interval on this chromosome, 2 other highly significant QTL were found that explain about 30% of the phenotypic variance for birth dimension traits (BW and body length at birth). On chromosome 5, the most significant association influenced the lean:bone ratio at the forerib joint and was flanked by markers DIK4782 and BR2936. Other highly significant associations were detected on chromosomes 10 (estimated subcutaneous fat percentage), 11 (total saleable meat proportion), 16 (prehousing growth rate), and 22 (bone proportion at the leg joint). These results provide a useful starting point for the identification of the genes associated with traits of direct interest to the beef industry, using fine mapping or positional candidate gene approaches.
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Affiliation(s)
- B Gutiérrez-Gil
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Roslin, Midlothian EH25 9PS, United Kingdom
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Hua GH, Chen SL, Yu JN, Cai KL, Wu CJ, Li QL, Zhang CY, Liang AX, Han L, Geng LY, Shen Z, Xu DQ, Yang LG. Polymorphism of the growth hormone gene and its association with growth traits in Boer goat bucks. Meat Sci 2008; 81:391-5. [PMID: 22064179 DOI: 10.1016/j.meatsci.2008.08.015] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2008] [Revised: 08/26/2008] [Accepted: 08/29/2008] [Indexed: 11/30/2022]
Abstract
In the present study, the polymorphism of growth hormone (GH) gene was analyzed as a genetic marker candidate for growth traits in Boer goat bucks. Two single nucleotide polymorphisms (SNPs) - A781G (Ser/Gly35) and A1575G (Leu147), were identified by GH gene sequencing and PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) analysis. AA genotype resulted in a significant decrease in birth chest girth (P=0.03) and weaning weight (P=0.014) comparing to AB genotype, while CC genotype contributed to weaning height (P=0.04) greater than CD genotype. When in combination, AACD genotype was undesired for lower scores in a series of growth traits including body weight, length, height, and chest girth at birth and weaning, as well as the pre-weaning daily gain and body weight at age of 11 months. These results indicate that new molecular markers associated with caprine growth traits can be used in MAS (marker-assisted selection) in Boer goat bucks.
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Affiliation(s)
- G H Hua
- College of Animal Science and Technology, Key Laboratory under Education Ministry of China for Agricultural Animal Genetics, Breeding, and Reproduction, Huazhong Agricultural University, Shizi Street, Wuhan, Hubei 430070, China
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Gutierrez-Bañuelos H, Anderson RC, Carstens GE, Tedeschi LO, Pinchak WE, Cabrera-Diaz E, Krueger NA, Callaway TR, Nisbet DJ. Effects of nitroethane and monensin on ruminal fluid fermentation characteristics and nitrocompound-metabolizing bacterial populations. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2008; 56:4650-4658. [PMID: 18491914 DOI: 10.1021/jf800756c] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Nitroethane is a potent inhibitor of ruminal CH 4 production, a digestive inefficiency resulting in the loss of 2-15% of a ruminant's gross energy intake and an important emission source of this greenhouse gas. To assess the effect of nitroethane on methanogenesis and characterize ruminal adaptation observed with low treatment doses to this inhibitor, ruminal microbes were cultured in vitro with supplements of water (controls), 4.5 and 9 mM nitroethane, and 0.09 mM monensin, with or without 9 mM nitroethane. All treatments decreased CH 4 production >78% compared to controls; however, differential effects of treatments were observed on CO 2, butyrate isobutyrate, and valerate production. Treatments did not affect H 2 accumulation or acetate and propionate production. Most probable numbers of nitrometabolizing bacteria were increased with 4.5 and 9 mM nitroethane compared to numbers recovered from controls or monensin-containing treatments, which may explain ruminal adaptation to lower nitroethane treatments.
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31
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Cummins LJ, Morris CA, Kirkpatrick BW. Developing twinning cattle for commercial production. ACTA ACUST UNITED AC 2008. [DOI: 10.1071/ea07402] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Long-term selection programs in the United States and New Zealand have developed twinning herds. In Nebraska, the United States Meat Animal Research Centre population had a calving rate of 1.56 per parturition in 2004. They have shown that the location of ovulation has an important effect on the success of pregnancy and that ovulations ≥3 are probably undesirable. These cattle have issues associated with calving difficulty and calf survival, which present challenges for commercial application. Intensive management using existing technology and/or future genetic improvement to address these traits are required to realise the potential benefits to beef production systems.
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Echternkamp SE, Thallman RM, Cushman RA, Allan MF, Gregory KE. Increased calf production in cattle selected for twin ovulations1,2. J Anim Sci 2007; 85:3239-48. [PMID: 17686895 DOI: 10.2527/jas.2007-0210] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The effects of increasing fetal numbers and their distribution between the left and right uterine horns on calf survival, calf BW at birth and weaning, gestation length, dystocia, and calf sex ratio were evaluated for single (n = 1,587), twin (n = 2,440), and triplet calves (n = 147) born to primiparous and multiparous females in the Twinner population at the US Meat Animal Research Center between 1994 and 2004. Cattle were distributed equally between the spring and fall breeding seasons. Fetal number and distribution in utero were determined by real-time ultrasonography at 40 to 70 d postbreeding. For cows and heifers combined, number of calves per parturition increased from 1.34 in 1994 to 1.56 in 2004. Gestation length was 6.8 d shorter (P < 0.01) for twins compared with singles (277.5 +/- 0.2 vs. 284.3 +/- 0.2 d) and 12.7 d shorter for triplets (271.6 +/- 0.8 d). Survival and BW of individual calves at birth decreased (P < 0.01) but total calf BW per dam increased (P < 0.01) as fetal number increased from single to triplet births. Twins resulting from bilateral twin ovulations had increased (P < 0.01) survival and BW at birth, a longer (P < 0.01) gestation length, and less (P < 0.01) dystocia than twins resulting from unilateral twin ovulations. Calf survival and BW at birth were 97.2 +/- 0.3% and 48.0 +/- 0.1 kg for singles, 92.0 +/- 0.4% and 39.0 +/- 0.2 kg for bilateral twins, 83.2 +/- 0.4% and 36.7 +/- 0.2 kg for unilateral twins, 73.8 +/- 1.4% and 30.6 +/- 0.7 kg for bilateral triplets, and 51.9 +/- 3.2% and 31.7 +/- 1.6 kg for unilateral triplets. Birth weight of single calves increased by 0.51 kg/d for each additional day of gestation length vs. 0.38 kg/d for individual twins. Calf BW at birth increased (P < 0.01) with age of dam from 2 to 4 yr. Twin and triplet births had a greater (P < 0.01) incidence of dystocia than single births. The ratio of male:female calves (0.52:0.48) at birth was not affected by type of birth. Postnatal calf survival was similar for all 3 types of birth. Total progeny BW at weaning for single, twin, and triplet births was 217.7 +/- 2.5, 328.3 +/- 3.2, and 378.4 +/- 15.0 kg, respectively (P < 0.01). Although most bovine females have the uterine capacity to gestate twin calves, decreased survival and BW of unilateral twins and of all triplets indicate that their growth and development may have been compromised by uterine crowding.
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Affiliation(s)
- S E Echternkamp
- USDA, ARS, US Meat Animal Research Center, Clay Center, NE 68933, USA.
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