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用于分离塑料降解微生物的挖掘策略。

Mining strategies for isolating plastic-degrading microorganisms.

作者信息

Zhang Ziyao, Zhang Qi, Yang Huihui, Cui Li, Qian Haifeng

机构信息

College of Environment, Zhejiang University of Technology, Hangzhou, 310032, PR China.

Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, PR China.

出版信息

Environ Pollut. 2024 Apr 1;346:123572. doi: 10.1016/j.envpol.2024.123572. Epub 2024 Feb 16.

Abstract

Plastic waste is a growing global pollutant. Plastic degradation by microorganisms has captured attention as an earth-friendly tactic. Although the mechanisms of plastic degradation by bacteria, fungi, and algae have been explored over the past decade, a large knowledge gap still exists regarding the identification, sorting, and cultivation of efficient plastic degraders, primarily because of their uncultivability. Advances in sequencing techniques and bioinformatics have enabled the identification of microbial degraders and related enzymes and genes involved in plastic biodegradation. In this review, we provide an outline of the situation of plastic degradation and summarize the methods for effective microbial identification using multidisciplinary techniques such as multiomics, meta-analysis, and spectroscopy. This review introduces new strategies for controlling plastic pollution in an environmentally friendly manner. Using this information, highly efficient and colonizing plastic degraders can be mined via targeted sorting and cultivation. In addition, based on the recognized rules and plastic degraders, we can perform an in-depth analysis of the associated degradation mechanism, metabolic features, and interactions.

摘要

塑料垃圾是一种日益严重的全球污染物。微生物降解塑料作为一种环保策略已受到关注。尽管在过去十年中已经探索了细菌、真菌和藻类降解塑料的机制,但在高效塑料降解菌的鉴定、分类和培养方面仍然存在很大的知识空白,主要原因是它们难以培养。测序技术和生物信息学的进步使得能够鉴定参与塑料生物降解的微生物降解菌以及相关酶和基因。在本综述中,我们概述了塑料降解的情况,并总结了使用多组学、荟萃分析和光谱学等多学科技术进行有效微生物鉴定的方法。本综述介绍了以环境友好方式控制塑料污染的新策略。利用这些信息,可以通过有针对性的分类和培养来挖掘高效且能定殖的塑料降解菌。此外,基于已识别的规律和塑料降解菌,我们可以对相关的降解机制、代谢特征和相互作用进行深入分析。

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