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发酵食品中微生物群落的定向进化:策略、机制与挑战

Directed Evolution of Microbial Communities in Fermented Foods: Strategies, Mechanisms, and Challenges.

作者信息

Yao Zihan, Xie Ting, Deng Hongjie, Xiao Shuzhi, Yang Tao

机构信息

College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.

出版信息

Foods. 2025 Jan 12;14(2):216. doi: 10.3390/foods14020216.

Abstract

Directed Evolution of Microbial Communities (DEMC) offers a promising approach to enhance the functional attributes of microbial consortia in fermented foods by mimicking natural selection processes. This review details the application of DEMC in fermented foods, focusing on optimizing community traits to improve both fermentation efficiency and the sensory quality of the final products. We outline the core techniques used in DEMC, including the strategic construction of initial microbial communities, the systematic introduction of stress factors to induce desirable traits, and the use of artificial selection to cultivate superior communities. Additionally, we explore the integration of genomic tools and dynamic community analysis to understand and guide the evolutionary trajectories of these communities. While DEMC shows substantial potential for refining fermented food products, it faces challenges such as maintaining genetic diversity and functional stability of the communities. Looking ahead, the integration of advanced omics technologies and computational modeling is anticipated to significantly enhance the predictability and control of microbial community evolution in food fermentation processes. By systematically improving the selection and management of microbial traits, DEMC serves as a crucial tool for enhancing the quality and consistency of fermented foods, directly contributing to more robust and efficient food production systems.

摘要

微生物群落定向进化(DEMC)通过模拟自然选择过程,为增强发酵食品中微生物群落的功能特性提供了一种很有前景的方法。本综述详细介绍了DEMC在发酵食品中的应用,重点关注优化群落特性以提高发酵效率和最终产品的感官质量。我们概述了DEMC中使用的核心技术,包括初始微生物群落的策略性构建、系统引入压力因素以诱导理想特性,以及使用人工选择来培育优良群落。此外,我们探讨了基因组工具与动态群落分析的整合,以理解和指导这些群落的进化轨迹。虽然DEMC在优化发酵食品方面显示出巨大潜力,但它面临着维持群落遗传多样性和功能稳定性等挑战。展望未来,先进的组学技术与计算建模的整合有望显著提高食品发酵过程中微生物群落进化的可预测性和可控性。通过系统地改进微生物特性的选择和管理,DEMC成为提高发酵食品质量和一致性的关键工具,直接促进更强大、更高效的食品生产系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dc3/11764801/3e5fbfafff73/foods-14-00216-g001.jpg

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