High-Throughput Screening of Microbial Reductive Dechlorination of Polychlorinated Biphenyls: Patterns in Reactivity and Pathways.

Qihong Lu, Shanquan Wang, Zhili He, Lorenz Adrian, Jianzhong He, Jan Dolfing, Guofang Xu, Haozheng He, Daoyu Tang, Bixian Mai

Journal: Environmental science & technology 2025;59(15):7712-7721

PMID: 40193699

Abstract

Polychlorinated biphenyls (PCBs) are pervasive pollutants that pose risks to ecosystems and human health. Microbial reductive dehalogenation plays crucial roles in attenuating PCBs, but comprehensive insights into PCB dechlorination pathways, reactivity, and governing factors are limited by the vast number of congeners and costly experimental approaches. We address this challenge by establishing a high-throughput assay approach of reductive dehalogenation (HINVARD), which increases dechlorination test throughput by 30-fold and enhances reagents and cell utilization efficiency by over 10-fold compared to conventional assay methods. Using HINVARD, we screened 61 PCB congeners across 9 enrichment cultures and 3 isolates, identifying active dechlorination of 31-44 congeners. Results showed that PCB congener properties (chlorine substitution patterns, steric hindrance, and solubility) primarily determine the dechlorination potential, leading to consistent reactivity trends across cultures. In contrast, different organohalide-respiring bacteria catalyzed distinct dechlorination pathways, preferentially removing - or -chlorines. Structural modeling of reductive dehalogenases revealed unique binding orientations governing substrate specificity, offering molecular insights into these pathways. This study provides a high-efficiency strategy for investigating microbial reductive dehalogenation, yielding the first comprehensive understanding of PCB dechlorination patterns and mechanisms. These findings guide the design of tailored microbial consortia for effective PCB bioremediation.

Address: School of Environmental Science and Engineering, Environmental Microbiomics Research Center, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-Sen University, Guangzhou 510275, The People's Republic of China.; School of Environmental Science and Engineering, Environmental Microbiomics Research Center, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-Sen University, Guangzhou 510275, The People's Republic of China.; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, The People's Republic of China.; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, The People's Republic of China.; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, The People's Republic of China.; UFZ Department of Environmental Biotechnology, Helmholtz Centre for Environmental Research, Permoserstraße 15, Leipzig 04318, Germany.; Chair of Geobiotechnology, Technische Universität Berlin, Ackerstraße 76, Berlin 13355, Germany.; Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.; Faculty of Energy and Environment, Northumbria University, Newcastle upon Tyne NE1 8QH, UK.

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