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预测性食品微生物学中的个体细胞异质性:预测“嘈杂”世界的挑战。

Individual cell heterogeneity in Predictive Food Microbiology: Challenges in predicting a "noisy" world.

作者信息

Koutsoumanis Konstantinos P, Aspridou Zafiro

机构信息

Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.

Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.

出版信息

Int J Food Microbiol. 2017 Jan 2;240:3-10. doi: 10.1016/j.ijfoodmicro.2016.06.021. Epub 2016 Jun 21.

DOI:10.1016/j.ijfoodmicro.2016.06.021
PMID:27412586
Abstract

Gene expression is a fundamentally noisy process giving rise to a significant cell to cell variability at the phenotype level. The phenotypic noise is manifested in a wide range of microbial traits. Heterogeneous behavior of individual cells is observed at the growth, survival and inactivation responses and should be taken into account in the context of Predictive Food Microbiology (PMF). Recent methodological advances can be employed for the study and modeling of single cell dynamics leading to a new generation of mechanistic models which can provide insight into the link between phenotype, gene-expression, protein and metabolic functional units at the single cell level. Such models however, need to deal with an enormous amount of interactions and processes that influence each other, forming an extremely complex system. In this review paper, we discuss the importance of noise and present the future challenges in predicting the "noisy" microbial responses in foods.

摘要

基因表达是一个本质上具有噪声的过程,在表型水平上导致细胞间存在显著差异。表型噪声在多种微生物特性中表现出来。在生长、存活和失活反应中观察到单个细胞的异质性行为,在预测性食品微生物学(PMF)的背景下应予以考虑。最近的方法进展可用于单细胞动力学的研究和建模,从而产生新一代的机理模型,这些模型能够在单细胞水平上深入了解表型、基因表达、蛋白质和代谢功能单元之间的联系。然而,此类模型需要处理大量相互影响的相互作用和过程,从而形成一个极其复杂的系统。在这篇综述论文中,我们讨论了噪声的重要性,并提出了预测食品中“有噪声”微生物反应的未来挑战。

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