Microarray-based identification and quantification of molecular biomarkers for hydrogen-metabolizing microorganism communities to assess bioremediation potential for reductive dechlorination at contaminated sites

基于微阵列的氢代谢微生物群落分子生物标志物的鉴定和定量，以评估污染场地还原脱氯的生物修复潜力

• 批准号: 88388908
• 负责人: Dr. Svenja Lohner
• 金额: --
• 依托单位: Department of Chemical Engineering
• 依托单位国家: 德国
• 项目类别: Research Fellowships
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/88388908?language=en
• 关键词: Microarray; based; identification; quantification; molecular

Reductive dehalogenation of chlorinated organic compounds is often limited by electron donor, i.e. hydrogen availability. The development of biomarkers indicating hydrogen flux between hydrogen metabolizing microorganisms and the expression level of hydrogenase genes is promising to assess groundwater contaminant degradative potential. To identify significant biomarkers, in the proposed research first microarray-based tools will be developed to assess abundance and expression levels of hydrogenases in pure and enriched cultures as well as in environmental field samples. Second, microcosm studies with hydrogen-metabolizing microorganisms will be performed to assess kinetics of hydrogen-relevant transformation processes in correlation with quantity and expression levels of hydrogenase genes. Third, hydrogenase genes identified to be good expression markers by microarray analysis will be additionally quantified and quantitative data will be correlated with microbial activity. Derived correlations will result in novel tools to assess biodegradative potential for reductive dehalogenation at contaminated sites leading to a more effective management of bioremediation strategies.

氯化有机化合物的还原性去盐化通常受电子供体的限制，即氢的可用性。生物标志物的发展表明氢代谢微生物与氢化酶基因的表达水平之间的氢通量有望评估地下水污染物降解潜力。为了识别重要的生物标志物，将开发基于微阵列的研究，以评估纯培养物以及环境场样品中氢化酶的丰度和表达水平。其次，将进行氢化微生物的微观研究，以评估与氢化酶基因的数量和表达水平相关的相关氢转化过程的动力学。第三，通过微阵列分析确定为良好表达标记的氢化酶基因将得到另外量化，并且定量数据将与微生物活性相关。派生的相关性将导致新的工具，以评估受污染的地点还原脱核化的生物降解潜力，从而更有效地管理生物修复策略。