Otten Timothy G, Graham Jennifer L, Harris Theodore D, Dreher Theo W
Department of Microbiology, Oregon State University, Corvallis, Oregon, USA
U.S. Geological Survey, Lawrence, Kansas, USA.
Appl Environ Microbiol. 2016 Aug 15;82(17):5410-20. doi: 10.1128/AEM.01334-16. Print 2016 Sep 1.
While commonplace in clinical settings, DNA-based assays for identification or enumeration of drinking water pathogens and other biological contaminants remain widely unadopted by the monitoring community. In this study, shotgun metagenomics was used to identify taste-and-odor producers and toxin-producing cyanobacteria over a 2-year period in a drinking water reservoir. The sequencing data implicated several cyanobacteria, including Anabaena spp., Microcystis spp., and an unresolved member of the order Oscillatoriales as the likely principal producers of geosmin, microcystin, and 2-methylisoborneol (MIB), respectively. To further demonstrate this, quantitative PCR (qPCR) assays targeting geosmin-producing Anabaena and microcystin-producing Microcystis were utilized, and these data were fitted using generalized linear models and compared with routine monitoring data, including microscopic cell counts, sonde-based physicochemical analyses, and assays of all inorganic and organic nitrogen and phosphorus forms and fractions. The qPCR assays explained the greatest variation in observed geosmin (adjusted R(2) = 0.71) and microcystin (adjusted R(2) = 0.84) concentrations over the study period, highlighting their potential for routine monitoring applications. The origin of the monoterpene cyclase required for MIB biosynthesis was putatively linked to a periphytic cyanobacterial mat attached to the concrete drinking water inflow structure. We conclude that shotgun metagenomics can be used to identify microbial agents involved in water quality deterioration and to guide PCR assay selection or design for routine monitoring purposes. Finally, we offer estimates of microbial diversity and metagenomic coverage of our data sets for reference to others wishing to apply shotgun metagenomics to other lacustrine systems.
Cyanobacterial toxins and microbial taste-and-odor compounds are a growing concern for drinking water utilities reliant upon surface water resources. Specific identification of the microorganism(s) responsible for water quality degradation is often complicated by the presence of co-occurring taxa capable of producing these undesirable metabolites. Here we present a framework for how shotgun metagenomics can be used to definitively identify problematic microorganisms and how these data can guide the development of rapid genetic assays for routine monitoring purposes.
虽然基于DNA的检测方法在临床环境中很常见,但用于识别或计数饮用水病原体和其他生物污染物的方法在监测领域仍未得到广泛采用。在本研究中,利用鸟枪法宏基因组学在两年时间内对饮用水水库中产生味觉和气味的微生物以及产生毒素的蓝细菌进行了鉴定。测序数据表明,几种蓝细菌,包括鱼腥藻属、微囊藻属以及颤藻目一个未明确分类的成员,分别可能是土臭素、微囊藻毒素和2-甲基异莰醇(MIB)的主要产生者。为进一步证明这一点,使用了针对产生土臭素的鱼腥藻和产生微囊藻毒素的微囊藻的定量PCR(qPCR)检测方法,并使用广义线性模型对这些数据进行拟合,同时与常规监测数据进行比较,这些常规监测数据包括显微镜下的细胞计数、基于探头的理化分析以及所有无机和有机氮磷形态和组分的检测。qPCR检测方法解释了研究期间观测到的土臭素(调整后R² = 0.71)和微囊藻毒素(调整后R² = 0.84)浓度的最大变化,突出了它们在常规监测应用中的潜力。MIB生物合成所需的单萜环化酶的来源被推测与附着在混凝土饮用水流入结构上的周丛蓝细菌垫有关。我们得出结论,鸟枪法宏基因组学可用于识别参与水质恶化的微生物,并指导用于常规监测目的的PCR检测方法的选择或设计。最后,我们提供了数据集的微生物多样性和宏基因组覆盖度估计值,供希望将鸟枪法宏基因组学应用于其他湖泊系统的其他人参考。
对于依赖地表水资源的饮用水公用事业来说,蓝细菌毒素和微生物产生的味觉和气味化合物日益令人担忧。由于存在能够产生这些不良代谢产物的共生分类群,具体鉴定导致水质退化的微生物往往很复杂。在此,我们提出了一个框架,说明鸟枪法宏基因组学如何可用于明确识别有问题的微生物,以及这些数据如何可指导用于常规监测目的的快速基因检测方法的开发。