Laboratorio de Biorremediación, Escuela de Ciencias Biológicas, Universidad Autónoma de Coahuila, Torreón México ; Department of Ecophysiology, Max Planck Institute for Terrestrial Microbiology, Marburg Germany.
Laboratorio de Biorremediación, Escuela de Ciencias Biológicas, Universidad Autónoma de Coahuila, Torreón México.
Front Microbiol. 2014 Nov 12;5:597. doi: 10.3389/fmicb.2014.00597. eCollection 2014.
Anaerobic digestion (AD) is a biological process where different trophic groups of microorganisms break down biodegradable organic materials in the absence of oxygen. A wide range of AD technologies is being used to convert livestock manure, municipal and industrial wastewaters, and solid organic wastes into biogas. AD gains importance not only because of its relevance in waste treatment but also because of the recovery of carbon in the form of methane, which is a renewable energy and is used to generate electricity and heat. Despite the advances on the engineering and design of new bioreactors for AD, the microbiology component always poses challenges. Microbiology of AD processes is complicated as the efficiency of the process depends on the interactions of various trophic groups involved. Due to the complex interdependence of microbial activities for the functionality of the anaerobic bioreactors, the genetic expression of mcrA, which encodes a key enzyme in methane formation, is proposed as a parameter to monitor the process performance in real time. This review evaluates the current knowledge on microbial groups, their interactions, and their relationship to the performance of anaerobic biodigesters with a focus on using mcrA gene expression as a tool to monitor the process.
厌氧消化(AD)是一种生物过程,其中不同营养级的微生物在缺氧的情况下分解可生物降解的有机物质。广泛使用各种 AD 技术将牲畜粪便、城市和工业废水以及固体有机废物转化为沼气。AD 的重要性不仅在于其在废物处理方面的相关性,还在于以甲烷形式回收碳,甲烷是一种可再生能源,用于发电和供热。尽管在用于 AD 的新型生物反应器的工程和设计方面取得了进展,但微生物学部分始终存在挑战。AD 工艺的微生物学很复杂,因为该过程的效率取决于所涉及的各种营养级群体的相互作用。由于微生物活性对厌氧生物反应器功能的复杂相互依存关系,mcrA 基因的遗传表达被提议作为实时监测过程性能的参数,mcrA 基因编码甲烷形成的关键酶。本综述评估了当前关于微生物群体及其相互作用的知识,以及它们与厌氧生物消化器性能的关系,重点是使用 mcrA 基因表达作为监测过程的工具。