Cold-tolerance mechanisms in foodborne pathogens: Escherichia coli and Listeria monocytogenes as examples

被引:0
|
作者
Liu, Ming [1 ]
Ding, Yu [2 ]
Ye, Qinghua [1 ]
Wu, Shi [1 ]
Gu, Qihui [1 ]
Chen, Ling [1 ]
Zhang, Youxiong [1 ]
Wei, Xianhu [1 ]
Deng, Meiqing [1 ]
Zhang, Jumei [1 ]
Wu, Qingping [1 ]
Wang, Juan [3 ]
机构
[1] Guangdong Acad Sci, Guangdong Prov Key Lab Microbial Safety & Hlth, State Key Lab Appl Microbiol Southern China, Inst Microbiol,Sci & Technol Innovat Platform Nutr, Guangzhou, Peoples R China
[2] Jinan Univ, Inst Food Safety & Nutr, Dept Food Sci & Engn, Guangzhou, Peoples R China
[3] South China Agr Univ, Coll Food Sci, Guangzhou, Peoples R China
关键词
Cold-chain food; Escherichia coli; Listeria monocytogenes; Yersinia enterocolitica; CRISPR/cas; BOX RNA-HELICASES; RIBOSOMAL MATURATION; LOW-TEMPERATURE; EGD-E; GROWTH; EXPRESSION; SURVIVAL; STRESS; CSPA; GENES;
D O I
10.1080/10408398.2024.2322141
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The cold chain is an integral part of the modern food industry. Low temperatures can effectively alleviate food loss and the transmission of foodborne diseases caused by microbial reproduction. However, recent reports have highlighted shortcomings in the current cold chain technology's ability to prevent and control cold-tolerant foodborne pathogens. Furthermore, it has been observed that certain cold-chain foods have emerged as new sources of infection for foodborne disease outbreaks. Consequently, there is a pressing need to enhance control measures targeting cold-tolerant pathogens within the existing cold chain system. This paper aims to review the recent advancements in understanding the cold tolerance mechanisms of key model organisms, identify key issues in current research, and explore the potential of utilizing big data and omics technology in future studies.
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页数:15
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