Department of Civil and Environmental Engineering, University of California-Berkeley, Berkeley, California, United States of America.
Environ Sci Technol. 2012 Jan 17;46(2):1044-54. doi: 10.1021/es203005k. Epub 2011 Dec 27.
A high-density phylogenetic microarray (PhyloChip) was applied to track bacterial and archaeal populations through different phases of remediation at Ft. Lewis, WA, a trichloroethene (TCE)-contaminated groundwater site. Biostimulation with whey, and bioaugmentation with a Dehalococcoides-containing enrichment culture were strategies implemented to enhance dechlorination. As a measure of species richness, over 1300 operational taxonomic units (OTUs) were detected in DNA from groundwater samples extracted during different stages of treatment and in the bioaugmentation culture. In order to determine active members within the community, 16S rRNA from samples were analyzed by microarray and ∼600 OTUs identified. A cDNA clone library of the expressed 16S rRNA corroborated the observed diversity and activity of some of the phyla. Principle component analysis of the treatment plot samples revealed that the microbial populations were constantly changing during the course of the study. Dynamic analysis of the archaeal population showed significant increases in methanogens at the later stages of treatment that correlated with increases in methane concentrations of over 2 orders of magnitude. Overall, the PhyloChip analyses in this study have provided insights into the microbial ecology and population dynamics at the TCE-contaminated field site useful for understanding the in situ reductive dechlorination processes.
高密度的微生物基因芯片(PhyloChip)被应用于跟踪细菌和古菌在华盛顿州路易斯堡(Ft. Lewis,WA)的一个三氯乙烯(TCE)污染地下水场地的修复过程中的不同阶段的种群变化。通过乳清的生物刺激和添加含有脱卤酸菌的富集培养物的生物增强,是增强脱氯的策略。作为物种丰富度的衡量标准,从不同处理阶段和生物增强培养物中提取的地下水样本的 DNA 中检测到超过 1300 个操作分类单位(OTUs)。为了确定群落中的活性成员,通过微阵列分析了样本中的 16S rRNA,并鉴定了约 600 个 OTUs。表达的 16S rRNA 的 cDNA 克隆文库证实了一些门的观察到的多样性和活性。处理区样品的主成分分析表明,在研究过程中微生物种群不断变化。古菌种群的动态分析显示,在处理后期产甲烷菌显著增加,与甲烷浓度增加超过 2 个数量级相关。总的来说,本研究中的 PhyloChip 分析提供了对 TCE 污染现场微生物生态学和种群动态的深入了解,有助于理解原位还原脱氯过程。