Marzorati Massimo, Balloi Annalisa, De Ferra Francesca, Daffonchio Daniele
Dipartimento di Scienze e Tecnologie Alimentari e Microbiologiche, Università degli Studi di Milano, Milan, Italy.
Methods Mol Biol. 2010;668:219-34. doi: 10.1007/978-1-60761-823-2_15.
The use of microorganisms to clean up xenobiotics from polluted ecosystems (soil and water) represents an ecosustainable and powerful alternative to traditional remediation processes. Recent developments in molecular-biology-based techniques have led to rapid and sensitive strategies for monitoring and identifying bacteria and catabolic genes involved in the degradation of xenobiotics. This chapter provides a description of recently developed molecular-biology-based techniques, such as PCR with degenerate primers set, real-time quantitative PCR (qPCR), reverse transcription PCR (RT-PCR), southern blot hybridization, and long-range PCR, used to give a picture of the catabolically relevant microorganisms and of the functional genes present in a polluted system. By using a case study of a groundwater aquifer contaminated with 1,2-dichloroethane (1,2-DCA), we describe the identification of microorganisms potentially involved in the 1,2-DCA dehalorespiration (Dehalobacter sp. and Desulfitobacterium sp.) and a complete new gene cluster encoding for a 1,2-DCA reductive dehalogenase. The application of these techniques to bioremediation can improve our understanding of the inner mechanisms to evaluate the feasibility of a given treatment and provide us with a method to follow up bacteria and catabolic genes involved in the degradation of contaminants during the activities in situ.
利用微生物从受污染的生态系统(土壤和水)中清除异生素,是一种生态可持续且强大的传统修复方法的替代方案。基于分子生物学技术的最新进展,已产生了用于监测和鉴定参与异生素降解的细菌及分解代谢基因的快速且灵敏的策略。本章描述了最近开发的基于分子生物学的技术,如简并引物PCR、实时定量PCR(qPCR)、逆转录PCR(RT-PCR)、Southern印迹杂交和长距离PCR,这些技术用于描绘受污染系统中与分解代谢相关的微生物和功能基因的情况。通过对受1,2 - 二氯乙烷(1,2 - DCA)污染的地下水含水层的案例研究,我们描述了可能参与1,2 - DCA脱卤呼吸作用的微生物(Dehalobacter属和Desulfitobacterium属)的鉴定,以及一个全新的编码1,2 - DCA还原脱卤酶的基因簇。这些技术在生物修复中的应用,可以增进我们对内在机制的理解,以评估特定处理的可行性,并为我们提供一种方法,用于在原位活动期间追踪参与污染物降解的细菌和分解代谢基因。