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Mining Key Genes Affecting Muscle Water Retention of Gannan Dzo (Bos taurus) Based on RNA-seq Technology |
WANG Chang-Feng1, HAN Ling1, LI Ai-Xia1, YU Qun-Li1,*, ZHANG Li1,*, SHI Hong-Mei2, KONG Xiang-Ying3, ZHU Xiao-Peng4, ZHANG Xin-Jun5 |
1 College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China; 2 Gansu Gannan Animal Husbandry and Veterinary Workstation, Gannan 747000, China; 3 Qinghai Haibei Animal Husbandry and Veterinary Science Research Institute, Haibei 812200, China; 4 Gansu Wanhe Grass and Livestock Industry Technology Development Co., Ltd., Lanzhou 730070, China; 5 Ningxia Xiahua Meat Food Co., Ltd., Zhongwei 75500, China |
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Abstract Muscle water retention is one of the important characteristics of edible meat quality, and greatly affects the sensory characteristics and economic value of meat. In order to screen the differentially expressed genes associated with muscle water retention of Gannan dzo (Bos taurus), 3 yaks (Bos grunniens) and 3 dzoes, each with healthy growth and development, equivalent slaughter time and even weight, were slaughtered in line with standardization. The longissimus dorsi muscle was collected as the experimental material for the determination of cooking loss, pressure loss, dripping loss and RNA-seq transcriptome sequencing. The differential expression multiplier value |log2 (Fold change)|≥1 and the significance level P<0.05 were used as the conditions for selecting the differential expression genes. The cooking loss and dripping loss of yak were significantly higher than that of dzo (P<0.05), and the pressure loss was significantly lower than that of dzo (P<0.05). A total of 748 differentially expressed genes were obtained from the sequencing results, including 526 down-regulated and 222 up-regulated genes. In order to verify the reliability of the sequencing data, 6 differentially expressed genes were randomly selected for qRT-PCR verification. The gene expression trend was consistent with the transcriptome sequencing results, indicating that the sequencing results were reliable. GO function annotation and KEGG pathway enrichment analysis found that the items related to muscle water retention included fibrinolysis, protein decomposition, glucose metabolism and regulation of actin cytoskeleton, and the pathways involved in water retention include glycolysis/gluconeogenesis, peroxisome proliferator activated receptor (PPAR) and AMP-activated protein kinase (AMPK). A total of 55 nonredundant differentially expressed genes were obtained, of which troponin T type 2 (TNNT2), bone morphogenetic protein 1 (BMP1), fatty acid-binding protein 1 (FABP1) and low-density lipoprotein receptor- related protein-1 (LRP1) were related to the water retention of dzo, which could be used as candidate genes for genetic and breeding improvement of meat quality traits. This study provides basic data for further research on the molecular mechanism of water retention of bovine muscle.
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Received: 09 August 2022
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Corresponding Authors:
*yuqunlihl@163.com; zhanglwubd@163.com
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[1] 郭淑珍, 包永清, 马登录, 等. 2019. 高寒牧区娟犏牛屠宰性能及肉品质测定[J]. 中国草食动物科学 , 39(05): 72-74. (Guo S Z, Bao Y Q, Ma D L, et al. 2019. Determination of slaughter performance and meat quality of dzo inalpine pastoral area[J]. Chinese Herbivorous Animal Science, 39(05): 72-74. ) [2] 郭亚飞. 2018. 精氨酸对骨骼肌肌纤维类型转化的影响及其机制研究[D]. 硕士学位论文, 四川农业大学, 导师: 陈小玲, 龙定彪, pp. 16-18. (Guo Y F. 2018. Effect of arginine on skeletal muscle fiber type transformation and its mechanism[D]. Thesis for M. S. , Sichuan Agricultural University, Supervisor: Chen X L, Long D B, pp. 16-18. ) [3] 胡博, 辛可启, 余群力, 等. 2022. 脯氨酰羟化酶对宰后牦牛肉糖酵解及肉品质影响影响[J]. 食品科学, 43(18): 9-15. (Hu B, Xin K Q, Yu Q L, et al. 2022. Effect of prolyl hydroxylase on glycolysis and meat quality of slaughtered yak meat[J]. Food Science, 43(18): 9-15. ) [4] 姜安印, 马莉. 2021. 甘南牦牛产业生态圈建设路径分析[J]. 中国牛业科学, 47(04): 69-73. (Jiang A Y, Ma L. 2021. Path analysis of Gannan yak industry ecological circle construction[J]. China Cattle Science, 47(04): 69-73. ) [5] 江珊, 张荣琦, 刘承灏, 等. 2016. 运动与过氧化物酶体增殖物激活受体的研究进展[J]. 体育科技 , 37(5): 31-33. (Jiang S, Zhang R Q, Liu C H, et al. 2016. Research progress of exercise and peroxisome proliferator-activated receptor[J]. Sports Science and Technology, 37(5): 31-33. ) [6] 刘瑞莉, 吴磊, 袁玮, 等. 2018. 基于转录组筛选肉牛骨骼肌差异基因[J]. 华北农学报, 33(S1): 64-72. (Liu R L, Wu L, Yuan W, et al. 2018. Screening of skeletal muscle differential genes of beef cattle based on transcriptome[J]. Journal of North China Agriculture, 33(S1): 64-72. ) [7] 齐昱, 奇昱良, 丽春, 等. 2022. 基于 RNA-seq 鉴定和分析蒙古牛抗寒过程中骨骼肌的可变剪接事件[J]. 黑龙江畜牧兽医 , (13): 52-57. (Qi Y, Qi Y L, Li C, et al. 2022. Identification and analysis of alternative splicing events in Mongolian cattle during cold resistance based on RNA-seq[J]. Heilongjiang Animal Husbandry and Veterinary Medicine, (13): 52-57. ) [8] 石斌刚. 2020. 天祝白牦牛肌肉生长和肌内脂肪沉积相关基因筛选与鉴定[D]. 博士学位论文, 甘肃农业大学, 导师 : 胡江 , pp. 30-37. (Shi B G. 2020. Screening and identification of genes related to muscle growth and in tramuscular fat deposition in Tianzhu white yak[D]. The sis for Ph. D. , Gansu Agricultural University, Supervisor: Hu J, pp. 30-37. ) [9] 石田培, 张莉. 2019. 全转录组学在畜牧业中的应用[J]. 遗传 , 41(03): 193-205. (Shi T P, Zhang L, 2019. Application of full transcriptomics in animal husbandry[J]. Hereditas, 41(03): 193-205. ) [10] 赵改名, 李佳麒, 祝超智, 等. 2020. 云岭牛不同部位肉的品质特性分析[J]. 现代食品科技, 36(03): 22-28. (Zhao G M, Li J Q, Zhu C Z, et al. 2020. Analysis on the quality char‐acteristics of different parts of meat of Yunling cattle[J]. Modern Food Science and Technology, 36(03): 22-28. ) [11] 赵伟明, 吴慧光, 吴江鸿, 等. 2020. 基于转录组测序分析西门塔尔牛和安格斯牛脂肪沉积相关基因的差异表达[J]. 农业生物技术学报, 28(04): 693-701. (Zhao W M, Wu H G, Wu J H, et al. Analysis of differentially expressed genes related to fat deposition in Simmental and Angus cattle (Bos taurus) based on transcriptome se‐quencing[J]. Journal of Agricultural Biotechnology, 28(04): 693-701. ) [12] 祝超智, 赵改名, 张万刚, 等. 2013. 不同保水性鸡肉的品质比较和相关性研究[J]. 食品科学, 34(13): 45-49. (Zhu C Z, Zhao G M, Zhang W G, et al. 2013. Quality comparison and correlation study of different water-holding chicken[J]. Food Science, 34(13): 45-49. ) [13] 左惠心, 韩玲, 余群力, 等. 2017. 牦牛与黄牛肌肉差异蛋白质组及生物信息学分析[J]. 农业机械学报, 48(4): 313-320. (Zuo H X, Han L, Yu Q L, et al. 2017. Proteomics and bioinformatics analyses of differentially expressed in yak and beef cattle muscle[J]. Transactions of the Chinese Society for Agricultural Machinery, 48(4): 313-320. ) [14] Actis Dato V, Chiabrando G A. 2018. The role of low-density lipoprotein receptor-related protein 1 in lipid metabolism, glucose homeostasis and inflammation[J]. International Journal of Molecular Sciences, 19(6): 1780. [15] Borland M G, Kehres E M, Lee C, et al. 2018. Inhibition of tumorigenesis by peroxisome proliferator-activated receptor (PPAR)-dependent cell cycle blocks in human skin carcinoma cells[J]. Toxicology, 404: 25-32. [16] Eadmusik S, Molette C, Fereandez X, et al. 2011. Are one early muscle pH and one early temperature measurement sufficient to detect PSE breast meat in turkeys?[J]. British Poultry Science, 52(2): 177-188. [17] Fortin A, Robertson W M, Tong A K W. 2005. The eating quality of Canadian pork and its relationship with intramuscular fat[J]. Meat Science, 69(2): 297-305. [18] Franco D, Bispo E, Gonzalez L, et al. 2009. Effect of finishing and ageing time on quality attributes of loin from the meat of Holstein-Fresian cull cows[J]. Meat Science, 83(3): 484-491. [19] Hsieh A R, Sie J J, Chang C C, et al. 2020. Maximal segmental score method for localizing recessive disease variants based on sequence data[J]. Frontiers in Genetics, 11: 555. [20] Liao J, Liu B, Zhong W, et al. 2019. Protective effect of Lycium barbarum polysaccharides against high-fat diet-induced renal injury and lipid deposition in rat kidneys[J]. Journal of Biological Regulators and Homeostatic Agents, 33(1): 7-17. [21] Liu C C, Hu J, Zhao N, et al. 2017. Astrocytic LRP1 mediates brain Aβ clearance and impacts amyloid deposition[J]. Journal of Neuroscience, 37(15): 4023-4031. [22] Mao H, Xu X, Liu H, et al. 2020. The temporal-spatial patterns, polymorphisms and association analysis with meat quality traits of FABP1 gene in domestic pigeons (Columba livia)[J]. British Poultry Science, 61(3): 232-241. [23] Mcauliffe J J, Gao L Z, Solaro R J. 1990. Changes in myofi‐brillar activation and troponin C Ca2+ binding associated with troponin T isoform switching in developing rabbit heart[J]. Circulation Research, 66(5): 1204-1216. [24] Montowska M, Pospiech E. 2013. Species-specific expression of various proteins in meat tissue: Proteomic analysis of raw and cooked meat and meat products made from beef, pork and selected poultry species[J]. Food Chemistry, 136(3-4): 1461-1469. [25] Pophiwa P, Webb E C, Frylinck L. 2020. A review of factors affecting goat meat quality and mitigating strategies[J]. Small Ruminant Research, 183: 106035. [26] Ramlingam V, Hwang I. 2021. Identification of meat quality determining marker genes in fibroblasts of bovine muscle using transcriptomic profiling[J]. Journal of Agricul‐tural and Food Chemistry, 69(12): 3776-3786. [27] Roberts A, Trapnell C, Donaghey J, et al. 2011. Improving RNA-seq expression estimates by correcting for fragment bias[J]. Genome Biology, 12(3): 1-3. [28] Xing T, Gao F, Tume R K, et al. 2019. Stress effects on meat quality: A mechanistic perspective[J]. Comprehensive Reviews in Food Science and Food Safety, 18(2): 380-401. [29] Zhang Y H, Dai L S, Ma T H, et al. 2013. Association of T1740C polymorphism of L-FABP with meat quality traits in Junmu No. 1 white swine[J]. Genetics and Molecular Research, 12: 235. |
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