Unraveling the spoilage characteristics of refrigerated pork using high-throughput sequencing coupled with UHPLC-MS/MS-based non-targeted metabolomics

被引:6
|
作者
Yi, Zhengkai [1 ]
Xiao, Xingning [1 ]
Cai, Wei [2 ]
Ding, Zhaoyang [3 ,4 ]
Ma, Jiele [1 ]
Lv, Wentao [1 ]
Yang, Hua [1 ]
Xiao, Yingping [1 ]
Wang, Wen [1 ]
机构
[1] Zhejiang Acad Agr Sci, Inst Agroprod Safety & Nutr, State Key Lab Managing Biot & Chem Threats Qual &, MOA Lab Qual & Safety Risk Assessment Agroprod Han, Hangzhou, Peoples R China
[2] Wuhan Polytech Univ, Coll Food Sci & Engn, Wuhan 430048, Peoples R China
[3] Shanghai Ocean Univ, Coll Food Sci & Technol, Shanghai 201306, Peoples R China
[4] Marine Biomed Sci & Technol Innovat Platform Lin g, Shanghai 201306, Peoples R China
关键词
Refrigerated pork; Microbiome; Metabolomics; Spoilage bacteria; Spoilage biomarkers; QUALITY; MEAT;
D O I
10.1016/j.foodchem.2024.140797
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The spoilage of refrigerated pork involves nutrient depletion and the production of spoilage metabolites by spoilage bacteria, yet the microbe-metabolite interactions during this process remain unclear. This study employed 16S rRNA high-throughput sequencing and non-targeted metabolomics based on ultra-highperformance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) to reveal the core microbiota and metabolite profiles of pork during refrigeration. A total of 45 potential biomarkers were screened through random forest model analysis. Metabolic pathway analysis indicated that eleven pathways, including biogenic amine metabolism, pentose metabolism, purine metabolism, pyrimidine metabolism, phospholipid metabolism, and fatty acid degradation, were potential mechanisms of pork spoilage. Correlation analysis revealed nine metabolites-histamine, tyramine, tryptamine, D-gluconic acid, UDP-D-glucose, xanthine, glutamine, phosphatidylcholine, and hexadecanoic acid-as spoilage biomarkers, with Pseudomonas, Serratia, and Photobacterium playing significant roles. This study provides new insights into the changes in microbial and metabolic characteristics during the spoilage of refrigerated pork.
引用
收藏
页数:10
相关论文
共 43 条
  • [1] High-Throughput UHPLC/MS/MS-Based Metabolic Profiling Using a Vacuum Jacketed Column
    Plumb, Robert S.
    McDonald, Thomas
    Rainville, Paul D.
    Hill, Jason
    Gethings, Lee A.
    Johnson, Kelly A.
    Wilson, Ian D.
    ANALYTICAL CHEMISTRY, 2021, 93 (30) : 10644 - 10652
  • [2] Impact of storage time on non-volatile metabolites and fungal communities in Liupao tea using LC-MS based non-targeted metabolomics and high-throughput sequencing
    Huang, Yingyi
    Liu, Huahong
    Zhang, Xiaohua
    Wu, Yuxin
    Liu, Zhusheng
    Pang, Yuelan
    Liu, Renjun
    Yang, Chun
    Nie, Jinfang
    FOOD RESEARCH INTERNATIONAL, 2023, 174
  • [3] High-throughput tissue extraction protocol for NMR- and MS-based metabolomics
    Wu, Huifeng
    Southam, Andrew D.
    Hines, Adam
    Viant, Mark R.
    ANALYTICAL BIOCHEMISTRY, 2008, 372 (02) : 204 - 212
  • [4] High-throughput, simultaneous quantitation of hemoglobin adducts of acrylamide, glycidamide, and ethylene oxide using UHPLC-MS/MS
    Yang, Min
    Frame, Tunde
    Tse, Chui
    Vesper, Hubert W.
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2018, 1086 : 197 - 205
  • [5] High-Throughput Screening Using UHPLC-MS To Characterize the Subsite Specificities of Chitosanases or Chitinases
    Regel, Eva K.
    Evers, Maximilian
    Liss, Michael
    Cord-Landwehr, Stefan
    Moerschbacher, Bruno M.
    ANALYTICAL CHEMISTRY, 2020, 92 (04) : 3246 - 3252
  • [6] Mechanism of the Effect of High-Intensity Training on Urinary Metabolism in Female Water Polo Players Based on UHPLC-MS Non-Targeted Metabolomics Technique
    Wang, Lei-lei
    Chen, An-ping
    Li, Jian-ying
    Sun, Zhuo
    Yan, Shi-liang
    Xu, Kai-yuan
    HEALTHCARE, 2021, 9 (04)
  • [7] Combined application of high-throughput sequencing and LC-MS/MS-based metabolomics to evaluate the formation of Zn-protoporphyrin in Nuodeng ham
    Yang, Zijiang
    Liao, Guozhou
    Wan, Daqian
    Kong, Weicheng
    Li, Cong
    Gu, Dahai
    Pu, Yuehong
    Ge, Changrong
    Wang, Guiying
    FOOD RESEARCH INTERNATIONAL, 2022, 162
  • [8] Differentiating signals to make biological sense - A guide through databases for MS-based non-targeted metabolomics
    Gil de la Fuente, Alberto
    Armitage, Emily Grace
    Otero, Abraham
    Barbas, Coral
    Godzien, Joanna
    ELECTROPHORESIS, 2017, 38 (18) : 2242 - 2256
  • [9] Simultaneous and High-Throughput Analytical Strategy of 30 Fluorinated Emerging Pollutants Using UHPLC-MS/MS in the Shrimp Aquaculture System
    Huang, Di
    Liu, Chengbin
    Zhou, Huatian
    Wang, Xianli
    Zhang, Qicai
    Liu, Xiaoyu
    Deng, Zhongsheng
    Wang, Danhe
    Li, Yameng
    Yao, Chunxia
    Song, Weiguo
    Rao, Qinxiong
    FOODS, 2024, 13 (20)
  • [10] Development of a high-throughput UHPLC-MS/MS method for the analysis of Fusarium and Alternaria toxins in cereals and cereal-based food
    Dick, Fabian
    Dietz, Alena
    Asam, Stefan
    Rychlik, Michael
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2024, 416 (26) : 5619 - 5637