Bioremediation of organohalide pollutants: progress, microbial ecology, and emerging computational tools

IF 6.7 Q1 ENVIRONMENTAL SCIENCES
Guofang Xu, Siyan Zhao, Jinting Liu, Jianzhong He
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引用次数: 8

Abstract

Organohalide chemicals such as polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), and polyfluoroalkyl substances (PFASs) are prevalent contaminants in the environment. Recent findings that certain microbes could attenuate these pollutants suggest the potential to develop bioremediation technologies using functional microorganisms to combat this pollution crisis. A timely review on bioremediation progress and emerging tools that can be used to facilitate bioremediation design is needed. Thus far, bioremediation of PCBs and PBDEs is at the developing stage from laboratory investigation to field application, whereas exploring potent microbes remains the central task for PFASs. Successful bioremediation is underpinned by a collection of interactive microbes; however, relevant microbial ecology questions affecting bioremediation performance are underexplored. Machine learning, quantum chemistry, and biomolecular modeling are prospective tools to optimize system operation, predict environmental fate of chemicals, and explore functional enzymes, but their application in bioremediation only emerged recently. This review summarizes recently discovered microbes and genes involved in biodegradation of organohalide pollutants, highlights practical and ecological questions, and discusses potential application of computational tools in bioremediation of organohalide pollutants.

有机卤化物污染物的生物修复:进展、微生物生态学和新兴的计算工具
有机卤化物化学品,如多氯联苯、多溴二苯醚和多氟烷基物质,是环境中普遍存在的污染物。最近的研究结果表明,某些微生物可以减弱这些污染物,这表明有可能利用功能微生物开发生物修复技术来应对这场污染危机。需要及时审查生物修复进展和可用于促进生物修复设计的新兴工具。到目前为止,多氯联苯和多溴二苯醚的生物修复正处于从实验室调查到现场应用的发展阶段,而探索强效微生物仍然是全氟辛烷磺酸的中心任务。成功的生物修复是由一系列相互作用的微生物所支撑的;然而,影响生物修复性能的相关微生物生态学问题却没有得到充分的探索。机器学习、量子化学和生物分子建模是优化系统操作、预测化学品环境命运和探索功能酶的前瞻性工具,但它们在生物修复中的应用直到最近才出现。这篇综述总结了最近发现的与有机卤化物污染物生物降解有关的微生物和基因,强调了实际和生态学问题,并讨论了计算工具在有机卤化物污染物的生物修复中的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Opinion in Environmental Science and Health
Current Opinion in Environmental Science and Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
14.90
自引率
0.00%
发文量
92
审稿时长
114 days
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