Genecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore, QLD, 4558, Australia.
The Biotechnology Institute, University of Minnesota, MN, 55108, USA.
Water Res. 2019 Nov 15;165:114967. doi: 10.1016/j.watres.2019.114967. Epub 2019 Aug 13.
Characterization of microbial communities using high-throughput amplicon sequencing is an emerging approach for microbial source tracking of fecal pollution. This study used SourceTracker software to examine temporal and geographical variability of fecal bacterial community profiles to identify pollutant sources in three freshwater catchments in sub-tropical Australia. Fecal bacterial communities from 10 animal species, humans, and composite wastewater samples from six sewage treatment plants were characterized and compared to freshwater samples using Illumina amplicon sequencing of the V5-V6 regions of the 16S rRNA gene. Source contributions were calculated in SourceTracker using new fecal taxon libraries as well as previously generated libraries to determine the effects of geographic and temporal variability on source assignments. SourceTracker determined 16S rRNA bacterial communites within freshwater samples, shared taxonomic similarities to that of wastewater at low levels (typically <3%). SourceTraker also predicted occasional fecal detection of deer and flying fox sources in the water samples. No significant differences in source contributions were observed within sequences from current and previously characterized fecal samples (P ≥ 0.107). However, significant differences were observed between previously characterized and newly characterized source communities (ANOSIM P ≤ 0.001), which shared <15% community composition. Results suggest temporal instability of fecal taxon libraries among tested sources and highlight continual evaluation of community-based MST using confirmatory qPCR analyses of marker genes.
利用高通量扩增子测序对微生物群落进行特征分析是一种新兴的粪便污染微生物溯源方法。本研究利用 SourceTracker 软件,考察了澳大利亚亚热带地区三个淡水流域粪便细菌群落特征的时间和地理变异性,以识别污染物的来源。使用 Illumina 扩增子测序技术对 16S rRNA 基因的 V5-V6 区进行测序,对来自 10 种动物、人类的粪便细菌群落以及来自 6 个污水处理厂的复合污水样本进行了特征分析,并与淡水样本进行了比较。在 SourceTracker 中,利用新的粪便分类群文库以及先前生成的文库计算了源贡献,以确定地理和时间变异性对源分配的影响。SourceTracker 确定了淡水样本中的 16S rRNA 细菌群落,与污水的分类学相似性较低(通常 <3%)。SourceTraker 还预测了在水样中偶尔会检测到鹿和飞狐的粪便。当前和以前特征描述的粪便样本的序列中的源贡献没有观察到显著差异(P ≥ 0.107)。然而,在以前特征描述和新特征描述的源群落之间观察到显著差异(ANOSIM P ≤ 0.001),它们的群落组成共享<15%。结果表明,在测试来源中粪便分类群文库存在时间不稳定,并强调了使用标记基因的确认 qPCR 分析对基于群落的 MST 进行持续评估。