BRD School of Biosciences, Sardar Patel University, Vallabh Vidyanagar 388120, Gujarat, India.
Bioresour Technol. 2010 Mar;101(6):1558-69. doi: 10.1016/j.biortech.2009.10.080. Epub 2009 Dec 4.
Microbial bioremediation has been well-demonstrated as an ecofriendly and cost-competitive strategy for elimination of xenobiotic and or anthropogenic compounds from the polluted environments. However, successful execution of these versatile bioremediation strategies requires a thorough understanding of factors governing the growth, metabolism, dynamics and functions of indigenous microbial communities at contaminated sites. Recent innovative breakthroughs in genotypic profiling, ultrafast genome pyrosequencing, metagenomics, metatranscriptomics, metaproteomics and metabolomics along with bioinformatics tools have provided crucial in-sights of microbial communities and their mechanisms in bioremediation of environmental pollutants. Moreover, advances in these technologies have significantly improved the process of efficacy determination and implementation of microbial bioremediation strategies. The current review is focused on application of these molecular and "-omics" technologies in gauging the innate microbial community structures, dynamics and functions at contaminated sites or pollution containment facilities.
微生物生物修复已被充分证明是一种环保且具有成本竞争力的策略,可用于从污染环境中消除外来和人为化合物。然而,这些多功能生物修复策略的成功实施需要深入了解控制污染现场土著微生物群落生长、代谢、动态和功能的因素。基因型分析、超快基因组焦磷酸测序、宏基因组学、宏转录组学、宏蛋白质组学和代谢组学以及生物信息学工具的最新创新突破为微生物群落及其在环境污染物生物修复中的机制提供了重要的见解。此外,这些技术的进步极大地提高了确定微生物生物修复策略效果和实施的过程。本综述重点介绍了这些分子和“组学”技术在评估污染场地或污染控制设施中固有微生物群落结构、动态和功能方面的应用。