Abstract：
Much attention is placed on organohalide-respiring bacteria (OHRB), such as Dehalococcoides, during the design and performance monitoring of chlorinated solvent bioremediation systems. However, many OHRB cannot function effectively without the support of a diverse group of other microbial community members (MCMs), who play key roles fermenting organic matter into more readily useable electron donors, producing corrinoids such as vitamin B12, or facilitating other important metabolic processes or biochemical reactions. While it is known that certain MCMs support dechlorination, a metric considering their contribution to bioremediation performance has yet to be proposed. Advances in molecular biology tools offer an opportunity to better understand the presence and activity of specific microbes, and their relation to bioremediation performance. In this paper, we test the hypothesis that a specific microbial consortium identified within 16S ribosomal ribonucleic acid (rRNA) gene next generation sequencing (NGS) data can be predictive of contaminant degradation rates. Field-based data from multiple contaminated sites indicate that increasing relative abundance of specific MCMs correlates with increasing first-order degradation rates. Based on these results, we present a framework for computing a simplified metric using NGS data, the Microbial Community Structure Index, to evaluate the adequacy of the microbial ecosystem during assessment of bioremediation performance.
摘要：
人们对有机卤化物呼吸细菌（OHRB）给予了很多关注，比如Dehalococcoides，在氯化溶剂生物修复系统的设计和性能监测过程中。然而,如果没有其他微生物群落成员（MCM）的支持，许多OHRB无法有效发挥作用。发挥关键作用的人将有机物发酵成更容易使用的电子供体，产生类维生素，如维生素B12，或促进其他重要的代谢过程或生化反应。虽然已知某些MCM支持脱氯，考虑到它们对生物修复性能的贡献的度量尚未提出。分子生物学工具的进步为更好地了解特定微生物的存在和活性提供了机会。以及它们与生物修复性能的关系。在本文中,我们检验了以下假设：在16S核糖体核糖核酸（rRNA）基因下一代测序（NGS）数据中鉴定出的特定微生物联盟可以预测污染物降解率。来自多个污染地点的基于现场的数据表明，特定MCM的相对丰度增加与一级降解率增加相关。基于这些结果,我们提出了一个使用NGS数据计算简化指标的框架，微生物群落结构指数，在生物修复性能评估过程中评估微生物生态系统的充分性。
