Tian Shihong, Wang Xiang, Li Hongmei, Bai Li, Liu Hong, Zhang Xibin, Dong Qingli
School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
China National Center for Food Safety Risk Assessment, Beijing 100021, China.
Sheng Wu Gong Cheng Xue Bao. 2020 Nov 25;36(11):2334-2344. doi: 10.13345/j.cjb.200158.
Strain variability is one of the most important factors to influence the accuracy of foodborne pathogens risk assessment, such as Listeria monocytogenes, Salmonella spp. Strain-to-strain variation is defined as the inherent differences among identically treated strains of the same microbial species. The differences cannot be eliminated by changing test methods or improving test protocols. This review addresses presently related studies of strain variability. Based on the effect of strain variability on the outcome of risk assessment, we summarize sources of variabilities in food chain, strain phenotypic variabilities and the methods to integrate strain variability in growth and inactivation into predictive modelling, and indicate the inadequacies in the study of strain variability. We suggest further study the mechanism of strain variability, expand the comparison of variability among different sources, and integrate the variability of gene expression, protein and cell metabolism into the predictive modelling.
菌株变异性是影响食源性病原体风险评估准确性的最重要因素之一,如单核细胞增生李斯特菌、沙门氏菌属。菌株间变异被定义为同一微生物物种经相同处理的菌株之间的固有差异。这些差异无法通过改变测试方法或改进测试方案来消除。本综述阐述了目前关于菌株变异性的相关研究。基于菌株变异性对风险评估结果的影响,我们总结了食物链中变异性的来源、菌株表型变异性以及将生长和失活中的菌株变异性整合到预测模型中的方法,并指出了菌株变异性研究中的不足。我们建议进一步研究菌株变异性的机制,扩大不同来源间变异性的比较,并将基因表达、蛋白质和细胞代谢的变异性整合到预测模型中。