National Exposure Research Laboratory, U.S. Environmental Protection Agency, Cincinnati, USA.
Biofrontiers Institute, University of Colorado, Boulder, CO, USA.
Water Res. 2015 Feb 1;69:30-39. doi: 10.1016/j.watres.2014.11.003. Epub 2014 Nov 13.
Microbial decay processes are one of the mechanisms whereby sewage contamination is reduced in the environment. This decomposition process involves a highly complex array of bacterial and eukaryotic communities from both sewage and ambient waters. However, relatively little is known about how these communities change due to mixing and subsequent decomposition of the sewage contaminant. We investigated decay of sewage in upper Mississippi River using Illumina sequencing of 16S and 18S rRNA gene hypervariable regions and qPCR for human-associated and general fecal Bacteroidales indicators. Mixtures of primary treated sewage and river water were placed in dialysis bags and incubated in situ under ambient conditions for seven days. We assessed changes in microbial community composition under two treatments in a replicated factorial design: sunlight exposure versus shaded and presence versus absence of native river microbiota. Initial diversity was higher in sewage compared to river water for 16S sequences, but the reverse was observed for 18S sequences. Both treatments significantly shifted community composition for eukaryotes and bacteria (P < 0.05). Data indicated that the presence of native river microbiota, rather than exposure to sunlight, accounted for the majority of variation between treatments for both 16S (R = 0.50; P > 0.001) and 18S (R = 0.91; P = 0.001) communities. A comparison of 16S sequence data and fecal indicator qPCR measurements indicated that the latter was a good predictor of overall bacterial community change over time (rho: 0.804-0.814, P = 0.001). These findings suggest that biotic interactions, such as predation by bacterivorous protozoa, can be critical factors in the decomposition of sewage in freshwater habitats and support the use of Bacteroidales genetic markers as indicators of fecal pollution.
微生物分解过程是减少环境中污水污染的机制之一。这个分解过程涉及到来自污水和周围水域的高度复杂的细菌和真核生物群落。然而,对于由于污水污染物的混合和随后的分解,这些群落如何变化,我们知之甚少。我们使用 Illumina 测序 16S 和 18S rRNA 基因高变区和 qPCR 对人类相关和一般粪便拟杆菌的指示物,研究了密西西比河上游污水的衰减。将初级处理的污水和河水混合物置于透析袋中,并在环境条件下原位孵育七天。我们在重复因子设计的两种处理下评估了微生物群落组成的变化:阳光暴露与遮荫和存在与不存在本地河流水体微生物群。对于 16S 序列,初始多样性在污水中高于河水,但对于 18S 序列则相反。两种处理都显著改变了真核生物和细菌的群落组成(P<0.05)。数据表明,与暴露在阳光下相比,本地河流水体微生物群的存在解释了两种处理之间的大部分变化,无论是对于 16S(R=0.50;P>0.001)还是 18S 群落(R=0.91;P=0.001)。16S 序列数据与粪便指示物 qPCR 测量的比较表明,后者是随时间推移整体细菌群落变化的良好预测指标(rho:0.804-0.814,P=0.001)。这些发现表明,生物相互作用,如食细菌原生动物的捕食作用,可能是淡水生境中污水分解的关键因素,并支持将拟杆菌遗传标记用作粪便污染的指示物。