草甘膦假单胞菌 Z1-1 降解草甘膦的生理反应和分子机制

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Zhimei Zhang , Chao Zhao , Tianming Wu , Yanfeng Xu , Lu Wang , Yusheng Niu
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引用次数: 0

摘要

草甘膦在农业应用过程中的积累及其毒性严重威胁着生态系统和人类健康。目前,草甘膦残留污染主要通过基于增强微生物降解活性的生物修复技术来解决。但也存在菌株环境适应性差、降解效率低等缺点。因此,本研究从除草剂污染的环境中分离出一株高效的草甘膦降解菌株--alcaligenes 假单胞菌 Z1-1,该菌株能够在 7 天内完全降解浓度为 200 mg/L 的草甘膦。动力学分析表明,草甘膦的降解与浓度有关,最大耐受浓度为 800 毫克/升。质谱分析表明,氨基甲基膦酸(AMPA)是草甘膦降解途径中产生的主要中间体,揭示了草甘膦的破坏始于C-N键的断裂。全基因组测序确定了可能参与草甘膦降解的关键基因,包括 thiO、glpA、aroA、soxB 和 argA 基因。此外,与之前报道的通过草甘膦氧化还原酶降解草甘膦的大多数代谢途径不同,C-N 键的断裂主要由甘氨酸氧化酶催化。总之,这项研究为草甘膦的降解机制提供了新的见解,为未来的应用提供了宝贵的降解酶资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Physiological response and molecular mechanism of glyphosate degradation by Pseudomonas alcaligenes Z1–1

Physiological response and molecular mechanism of glyphosate degradation by Pseudomonas alcaligenes Z1–1

The accumulation of glyphosate during its application in agriculture and its toxicity seriously threaten ecosystems and human health. Currently, glyphosate residual contamination is mainly accomplished through bioremediation techniques based on enhanced microbial degradation activity. However, there are drawbacks, such as poor environmental adaptability of strains and low degradation efficiency. Therefore, in this study, an efficient glyphosate-degrading strain, Pseudomonas alcaligenes Z1–1, was isolated from herbicide-contaminated environments and was capable of completely degrading glyphosate at a concentration of 200 mg/L within 7 days. Kinetics analysis showed that glyphosate degradation was concentration-dependent, with a maximum tolerant concentration of 800 mg/L. Mass spectrometric analysis indicated that AminoMethylPhosphonic acid (AMPA) was the predominant intermediate produced in the degradation pathway of glyphosate, revealing that glyphosate destruction began with breaking the C-N bond. Whole genome sequencing identified the key genes potentially involved in glyphosate degradation, including the thiO, glpA, aroA, soxB, and argA genes. Furthermore, in contrast to the majority of the metabolic pathways previously reported for glyphosate degradation via glyphosate oxidoreductase, the breaking of the C-N bond was primarily catalyzed by glycine oxidase. Overall, this research provides novel insights into the mechanisms of glyphosate degradation, offering valuable degradation enzyme resources for future applications.

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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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