Abstract Bioremediation is a better alternative and widely accepted approach used for efficient degradation of environmental pollutants released from industries, urban and agricultural activities due to its eco-friendly nature. Systems biology helps in the identification of new genes, proteins, metabolites, and metabolic pathways involved in bioremediation. Such information can be used for designing synthetic microbial communities that can degrade multiple recalcitrant pollutants simultaneously. This review gives a brief insight into various systems biology tools towards providing a greater understanding of microbial behaviour and improving the way of bioremediation. These techniques alone or in combination, provide a way to understand and improve the genetic potential of microorganisms to remediate various environmental contaminants efficiently. Further, this review also describes the successful employment of synthetic microbial consortium in the bioremediation. Moreover, In-silico tools are also described to analyse the data obtained through different laboratory experiments as well to predict the behaviour of microbial consortium towards the pollutants using different databases. Graphical Abstract

中文翻译：

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为有效的生物修复设计合成微生物群落：综述

摘要 生物修复是一种更好的替代和广泛接受的方法，用于有效降解工业、城市和农业活动释放的环境污染物，因为它具有生态友好的性质。系统生物学有助于识别生物修复中涉及的新基因、蛋白质、代谢物和代谢途径。此类信息可用于设计可同时降解多种顽固污染物的合成微生物群落。本综述简要介绍了各种系统生物学工具，以更好地了解微生物行为并改进生物修复方法。这些技术单独或结合使用，提供了一种了解和改进微生物遗传潜力以有效修复各种环境污染物的方法。此外，这篇综述还描述了合成微生物聚生体在生物修复中的成功应用。此外，还描述了 In-silico 工具来分析通过不同实验室实验获得的数据，以及使用不同数据库预测微生物群落对污染物的行为。图形概要