Department of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), 8600 Dübendorf, Switzerland.
Department of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), 8600 Dübendorf, Switzerland; Department of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland.
Water Res. 2023 Dec 1;247:120756. doi: 10.1016/j.watres.2023.120756. Epub 2023 Oct 18.
Biodegradation holds promise as an effective and sustainable process for the removal of synthetic chemical pollutants. Nevertheless, rational engineering of biodegradation for pollutant remediation remains an unfulfilled goal, while chemical pollution of waters and soils continues to advance. Efforts to (i) identify functional bacteria from aquatic and soil microbiomes, (ii) assemble them into biodegrading consortia, and (iii) identify maintenance and performance determinants, are challenged by large number of pollutants and the complexity in the enzymology and ecology of pollutant biodegradation. To overcome these challenges, approaches that leverage knowledge from environmental bio-chem-informatics and metabolic engineering are crucial. Here, we propose a novel high-throughput bio-chem-informatics pipeline, to link chemicals and their predicted biotransformation pathways with potential enzymes and bacterial strains. Our framework systematically selects the most promising candidates for the degradation of chemicals with unknown biotransformation pathways and associated enzymes from the vast array of aquatic and soil bacteria. We substantiated our perspective by validating the pipeline for two chemicals with known or predicted pathways and show that our predicted strains are consistent with strains known to biotransform those chemicals. Such pipelines can be integrated with metabolic network analysis built upon genome-scale models and ecological principles to rationally design fit-for-purpose bacterial communities for augmenting deficient biotransformation functions and study operational and design parameters that influence their structure and function. We believe that research in this direction can pave the way for achieving our long-term goal of enhancing pollutant biodegradation.
生物降解作为一种有效且可持续的方法,有望用于去除合成化学污染物。然而,要实现污染物修复的生物降解合理化工程仍然是一个未实现的目标,而水和土壤的化学污染仍在继续。从水生和土壤微生物组中(i)鉴定功能细菌、(ii)将它们组装成生物降解群落、以及(iii)鉴定维持和性能决定因素的努力,受到大量污染物的挑战,以及污染物生物降解的酶学和生态学的复杂性。为了克服这些挑战,利用环境生物化学信息学和代谢工程知识的方法至关重要。在这里,我们提出了一种新颖的高通量生物化学信息学管道,将化学品及其预测的生物转化途径与潜在的酶和细菌菌株联系起来。我们的框架系统地从大量的水生和土壤细菌中选择最有前途的候选物,用于降解具有未知生物转化途径和相关酶的化学品。我们通过验证具有已知或预测途径的两种化学品的管道来证实我们的观点,并表明我们预测的菌株与已知能够生物转化这些化学品的菌株一致。这样的管道可以与基于基因组规模模型和生态原理构建的代谢网络分析相结合,以合理设计适合目的的细菌群落,增强缺陷生物转化功能,并研究影响其结构和功能的操作和设计参数。我们相信,朝着这个方向的研究可以为实现我们增强污染物生物降解的长期目标铺平道路。