The Chinese Livestock and Poultry Breeding ›› 2023, Vol. 19 ›› Issue (7): 43-48.

Previous Articles     Next Articles

Application of Multiomics Analysis Techniques in the Study of Growth and Development of Beef Cattle

Zhao Huangqing1, Ma Jun1, Li Xinmiao1, Zhang Zijing2, Peng Wei3, Wang Eryao3, Zhang Jun3, Lei Chuzhao1, Huang Yongzhen1,*   

  1. 1. College of Animal Science and Technology, Northwest Agriculture and Forestry University, Xian, 712100, Shanxi;
    2. Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, Henan;
    3. Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, Qinghai
  • Received:2023-05-22 Online:2023-07-26 Published:2023-07-24

Abstract: The growth and development of beef cattle is regulated by many factors such as heredity, environment and nutrition. A variety of omics techniques, including genomics, transcriptomics and metabolomics, were applied to reveal the regulatory mechanism of growth and development of beef cattle from different perspectives, providing ideas for improving growth and development of beef cattle. This paper introduces several main omics analysis techniques, summarizes the application of different omics in the growth and development of beef cattle, and gives a prospect of their development prospects.

Key words: cattle, growth and development, omics, application, prospects

[1] 曹兵海, 李俊雅, 王之盛, 等. 2023年肉牛牦牛产业发展趋势与政策建议[J]. 中国畜牧杂志, 2023, 59(3):323-329.
[2] 曹兵海, 张越杰, 李俊雅, 等. 2022年肉牛牦牛产业发展趋势与政策建议[J]. 中国畜牧杂志, 2022, 58(3):251-257.
[3] 曹兵海, 张越杰, 李俊雅, 等. 2021年肉牛牦牛产业技术发展报告[J]. 中国畜牧杂志, 2022, 58(3):245-250.
[4] 《推进肉牛肉羊生产发展五年行动方案》解读[J]. 北方牧业, 2021(11):15-16.
[5] 敖翔. 肉牛健康养殖技术与疾病预防措施[J]. 吉林畜牧兽医, 2023, 44(4):7-8.
[6] 杨敏. 肉牛健康养殖技术与疾病预防探析[J]. 畜禽业, 2022, 33(6):55-57.
[7] 伊如格勒图, 树花, 斯琴其木格. 肉牛健康养殖技术与疾病预防[J]. 兽医导刊, 2022(1):121-122.
[8] 玛哈巴·肉孜. 肉羊育种改良对其生产性能的影响[J]. 吉林畜牧兽医, 2023, 44(4):83-84.
[9] 王红娜. 德国黄牛改良南阳牛遗传育种研究进展[J]. 中国牛业科学, 2022, 48(4):58-60.
[10] 常天鹏. 基于多组学数据解析中国肉用西门塔尔牛肉质性状遗传机制[D]. 北京:中国农业科学院, 2021.
[11] 梅楚刚. 基于多组学的秦川牛、黑毛和牛、安格斯牛与大额牛遗传特性研究[D]. 西安:西北农林科技大学, 2017.
[12] 张瑞. 基于多组学探析牛至精油对平凉红牛健康维护效果及其机理[D]. 兰州:甘肃农业大学, 2022.
[13] Ng P C, Kirkness E F.Whole genome sequencing[J]. Methods Mol Biol, 2010, 628:215-26.
[14] Pareek C S, Smoczynski R, Tretyn A.Sequencing technologies and genome sequencing[J]. J Appl Genet, 2011, 52(4):413-35.
[15] Niu Q, Zhang T, Xu L, et al.Integration of selection signatures and multi-trait GWAS reveals polygenic genetic architecture of carcass traits in beef cattle[J]. Genomics, 2021, 113(5):3325-3336.
[16] Paulo Álvarez C, Balbi M, et al.Genome-wide scan for signatures of selection in the Brangus cattle genome[J]. J Anim Breed Genet, 2022, 139(6):679-694.
[17] Gim G M, Kwon D H, Eom K H, et al.Production of MSTN-mutated cattle without exogenous gene integration using CRISPR-Cas9[J]. Biotechnol J, 2022, 17(7):e2100198.
[18] 李光鹏, 白春玲, 魏著英, 等. 黄牛Myostatin基因编辑研究[J]. 内蒙古大学学报(自然科学版), 2020, 51(1):12-32.
[19] Hrdlickova R, Toloue M, Tian B.RNA-Seq methods for transcriptome analysis[J]. Wiley Interdiscip Rev RNA, 2017, 8(1):10.
[20] Stahl F, Hitzmann B, Mutz K, et al.Transcriptome analysis[J]. Adv Biochem Eng Biotechnol, 2012, 127:1-25.
[21] Wang Z, Gerstein M, Snyder M.RNA-Seq: a revolutionary tool for transcriptomics[J]. Nat Rev Genet, 2009, 10(1):57-63.
[22] 周乐, 石彩霞, 常晨城, 等. 奶牛与肉牛不同生长发育阶段肝脏转录组比较分析[J].中国农业大学学报, 2022, 27(12):158-169.
[23] 王思元. 利用RNA-seq分析牛背皮下脂肪与肾周脂肪间细胞形态及脂肪代谢的差异[D]. 通辽:内蒙古民族大学, 2022.
[24] 苗曼宁, 郭益文, 胡德宝, 等. MSTN基因编辑牛肌肉转录组测序及生物信息学分析[J]. 中国畜牧兽医, 2021, 48(7):2271-2281.
[25] Chen M X, Wang S Y, Kuo C H, et al.Metabolome analysis for investigating host-gut microbiota interactions[J]. J Formos Med Assoc. 2019, 118(Suppl 1):S10-S22.
[26] Rinschen M M, Ivanisevic J, Giera M, et al.Identification of bioactive metabolites using activity metabolomics[J]. Nat Rev Mol Cell Biol, 2019, 20(6):353-367.
[27] Bauermeister A, Mannochio-Russo H, Costa-Lotufo LV, et al.Mass spectrometry-based metabolomics in microbiome investigations[J]. Nat Rev Microbiol, 2022, 20(3):143-160.
[28] 陈浩. 基于16S rRNA和代谢组学解析营养调控对肉用母牛生产性能的影响机制[D]. 呼和浩特:内蒙古农业大学, 2021.
[29] 玉霞, 王启业, 张雪蕾, 等. 芦笋皮或象草饲喂肉牛的血清代谢组学研究[J]. 动物营养学报, 2019, 31(9):4296-4302.
[30] 王正文. 三个不同群体肉牛背最长肌转录组学和代谢组学特征[D]. 兰州:甘肃农业大学, 2022.
[31] Zhu C, Petracci M, Li C, et al.An Untargeted Metabolomics Investigation of Jiulong Yak (Bos grunniens) Meat by 1H-NMR[J]. Foods, 2020, 9(4):481.
[32] Zhu C, Preissl S, Ren B.Single-cell multimodal omics: the power of many[J]. Nat Methods, 2020, 17(1):11-14.
[33] Lyu P, Qi Y, Tu Z J, et al.Single-cell RNA Sequencing Reveals Heterogeneity of Cultured Bovine Satellite Cells[J]. Front Genet, 2021, 12:742077.
[34] Cai C, Wan P, Wang H, et al.Transcriptional and open chromatin analysis of bovine skeletal muscle development by single-cell sequencing[J]. Cell Prolif, 2023, 1:e13430.
[35] 罗锦堂. 肌肉发育分化关键cncRNA及其编码微肽的多组学联合鉴定分析及调控作用研究[D]. 天津:天津农学院, 2022.
[36] Fonseca P A S, Id-Lahoucine S, Reverter A, et al. Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle[J]. PLoS One, 2018, 13(10):e0205295.
[37] Mullins Y, Keogh K, Blackshields G, et al.Transcriptome assisted label free proteomics of hepatic tissue in response to both dietary restriction and compensatory growth in cattle[J]. J Proteomics, 2021, 232:104048.
[38] Cánovas A, Reverter A, DeAtley K L, et al. Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle[J]. PLoS One, 2014, 9(7):e102551.
[1] Dou Yuting, Zhang Yuanxu, Li Jing, Wang Zezhao, Chen Yan, Xu Lingyang, Zhang Lupei, Gao Huijiang, Gao Xue, Li Junya, Li Hui, Zhu Bo. Research Progress on Hornless Traits of Beef Cattle [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 61-67.
[2] Wang Honghao, Wang Xi, Che Leijie, Lv Huaixin, Yan Qi, Ming Shiqing. Conservation, Breeding and Utilization of Jinnan Cattle [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 97-101.
[3] Qin Jianliang, Zhang Yuxi. Deep Insemination Technology of Local Buffalo Application and Effect Observation [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 109-113.
[4] Wang Ting, Zhu Bo, Wang Zezhao, Chen Yan, Xu Lingyang, Zhang Lupei, Gao Xue, Gao Huijiang, CaoYang, Zhao Yumin, Li Junya. History of the Development of Domestic and Foreign Breed Bull Auctions [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 128-134.
[5] Zhao Xiaoqiang, Zhang Yuanqing. Thoughts on Developing Rural Beef Cattle Production: A Case Study of A Village, Wenshui County, Shanxi Province [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 146-150.
[6] Gao Hanting, Liu Ziying, Lv Bobo, Heng Juncai, Gao Liutao, Zhang Zhipeng. Study on Influencing Factors of Superovulation-Embryo Production in Bovine [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(7): 176-179.
[7] Zhang Geyang, Lv Shijie, Zhu Xiaoting, Zhai Yaying, Zhang Zhihao, Shi Qiaoting, Zhang Zijing, Qu Junfeng, Chen Fuying, Wang Eryao. Application of Liquid Chip Technology in Animal Genetics and Breeding [J]. The Chinese Livestock and Poultry Breeding, 2023, 19(6): 24-28.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!