食品科学 ›› 2022, Vol. 43 ›› Issue (22): 267-280.doi: 10.7506/spkx1002-6630-20211122-272

• 成分分析 • 上一篇    

基于UPLC-MS非靶向代谢组学分析大鲵肉冷藏过程中代谢物的变化

赵萍,刘俊霞,兰阿峰,裴金金,陈德经,金文刚   

  1. (1.陕西理工大学生物科学与工程学院,秦巴生物资源与生态环境省部共建国家重点实验室,陕西 汉中 723001;2.陕西理工大学 陕西省资源生物重点实验室,陕西 汉中 723001;3.陕西理工大学 陕南秦巴山区生物资源综合开发协同创新中心,陕西 汉中 723001)
  • 发布日期:2022-12-12
  • 基金资助:
    陕南秦巴山区生物资源综合开发利用协同创新中心项目(QBXT-18-4); 陕西理工大学重点科研项目(SLG2106);陕西省“三秦学者”创新团队支持计划项目(陕组[2018]34号); 汉中市青年科技创新团队项目(汉科[2019]26号)

Analysis of Metabolites in Giant Salamander Meat during Cold Storage Using Non-Targeted Metabolomics Based on Ultra-high Performance Liquid Chromatography-Mass Spectrometry

ZHAO Ping, LIU Junxia, LAN Afeng, PEI Jinjin, CHEN Dejing, JIN Wengang,   

  1. (1. State Key Laboratory of Qinba Biological Resources and Ecological Environment Jointly Built by Province and Ministry, College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, China; 2. Shaanxi Key Laboratory of Bio-Resources, Shaanxi University of Technology, Hanzhong 723001, China; 3. Collaborative Innovation Center for Comprehensive Development of Bio-Resources in Qinba Mountain Area of Southern Shaanxi, Shaanxi University of Technology, Hanzhong 723001, China)
  • Published:2022-12-12

摘要: 采用基于超高效液相色谱-质谱联用的非靶向代谢组学方法,探究大鲵肉冷藏过程中(4 ℃,0、2、4、8 d)代谢物的差异及变化规律。结果表明,大鲵肉在冷藏期间0、2 d组内和组间差异较小,4、8 d组内和组间差异较大;随着冷藏时间的延长,相邻组间差异代谢物个数逐渐增加。以偏最小二乘法判别分析模型第1主成分变量投影重要性指标≥2,t-检验的P≤0.001为筛选标准进行筛选,共得到125 种差异代谢物,包括有机酸类及其衍生物(17 种)、酯类及其衍生物(53 种)、氨基酸类及其衍生物(25 种)、核苷酸类及其衍生物(13 种)、醇类化合物(3 种)、其他化合物(14 种)。其中大部分代谢物冷藏8 d丰度显著下降(P<0.05);此类代谢物中有机酸类及其衍生物(A1类)、氨基酸类及其衍生物(A3类)的丰度累积变化有相似的趋势,即冷藏0~2 d出现小幅度上升,2~4 d出现小幅度下降,4~8 d快速下降;酯类及其衍生物(A2类)、核苷酸类及其衍生物(A4类)的丰度累积变化均呈下降趋势,但酯类化合物及其衍生物(A2类)在冷藏0~4 d缓慢下降,4~8 d快速下降,而核苷酸类及其衍生物(A4类)具有线性下降的趋势。KEGG代谢通路富集及Pearson相关性分析表明,组氨酸代谢、精氨酸和脯氨酸代谢、精氨酸生物合成、赖氨酸降解、牛磺酸和次牛磺酸代谢、缬氨酸、亮氨酸和异亮氨酸生物合成、氨酰-tRNA生物合成等代谢通路与大鲵肉品质的变化具有较好的相关性;同时肌酸、L-组氨酸、L-谷氨酸、组氨酸、鸟氨酸、L-精氨酸、植物鞘氨醇可作为大鲵肉冷藏过程中品质变化的潜在标记物。本研究为今后大鲵宰后肌肉代谢及冷藏期间品质调控提供一定参考。

关键词: 大鲵肉;冷藏;超高效液相色谱-质谱联用技术;非靶向代谢组学;代谢物;代谢通路

Abstract: In this study, non-targeted metabolomics based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to explore the change in the metabolite profile in giant salamander meat during cold storage at 4 ℃ (0, 2, 4 and 8 days). The differences within each group and between the 0- and 2-day storage groups were small, while the intra- and inter-group differences between days 4 and 8 of storage were large. As the storage time increased, the number of differential metabolites between adjacent groups increased gradually. Using the variable importance in the projection (VIP) value of the first principal component in the partial least squares discriminant analysis (PLS-DA) model greater than or equal to two, and the P-value of t-test less than or equal to 0.001 as criteria, a total of 125 differential metabolites were selected, including organic acids and their derivatives (17), esters and their derivatives (53), amino acids and their derivatives (25), nucleotides and their derivatives (13), alcohols (3) and other compounds (14). The abundance of most of the metabolites decreased significantly on 8 day of storage (P < 0.05). The cumulative change in the abundance of the organic acids and their derivatives (A1) had a similar trend to that of the amino acids and their derivatives (A3), that is, there was a small increase from days 0 to 2, a small decrease from days 2 to 4, and a rapid decrease from days 4 to 8. The cumulative changes in the abundance of the esters and their derivatives (A2) as well as the nucleotides and their derivatives (A4) showed a downward trend, but the abundance of the esters and their derivatives (A2) decreased slowly from days 0 to 4 and rapidly from days 4 to 8, while the abundance of the nucleotides and their derivatives (A4) showed a linear downward trend. The results of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Pearson correlation analysis showed that histidine metabolism, arginine and proline metabolism, arginine biosynthesis, lysine degradation, taurine and sub taurine metabolism, valine, leucine and isoleucine biosynthesis, and aminoacyl-tRNA biosynthesis and other metabolic pathways had a good correlation with the changes of giant salamander meat quality; at the same time, creatine, L-histidinol, L-glutamate, histidine, ornithine, L-arginine and phytosphingosine could be used as potential markers for evaluating the quality change of giant salamander meat during cold storage. The results of this study provide a theoretical basis for understanding postmortem metabolism in giant salamander muscle and for quality control of giant salamander meat during cold storage.

Key words: giant salamander meat; refrigeration; ultra-high performance liquid chromatography-mass spectrometry; non-targeted metabolomics; metabolites; metabolic pathway

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