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Toolbox Approaches Using Molecular Markers and 16S rRNA Gene Amplicon Data Sets for Identification of Fecal Pollution in Surface Water

机译:使用分子标记和16S rRNA基因扩增子数据集的工具箱方法,用于识别地表水中的粪便污染

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In this study, host-associated molecular markers and bacterial 16S rRNA gene community analysis using high-throughput sequencing were used to identify the sources of fecal pollution in environmental waters in Brisbane, Australia. A total of 92 fecal and composite wastewater samples were collected from different host groups (cat, cattle, dog, horse, human, and kangaroo), and 18 water samples were collected from six sites (BR1 to BR6) along the Brisbane River in Queensland, Australia. Bacterial communities in the fecal, wastewater, and river water samples were sequenced. Water samples were also tested for the presence of bird-associated (GFD), cattle-associated (CowM3), horse-associated, and human-associated (HF183) molecular markers, to provide multiple lines of evidence regarding the possible presence of fecal pollution associated with specific hosts. Among the 18 water samples tested, 83%, 33%, 17%, and 17% were real-time PCR positive for the GFD, HF183, CowM3, and horse markers, respectively. Among the potential sources of fecal pollution in water samples from the river, DNA sequencing tended to show relatively small contributions from wastewater treatment plants (up to 13% of sequence reads). Contributions from other animal sources were rarely detected and were very small (<3% of sequence reads). Source contributions determined via sequence analysis versus detection of molecular markers showed variable agreement. A lack of relationships among fecal indicator bacteria, host-associated molecular markers, and 16S rRNA gene community analysis data was also observed. Nonetheless, we show that bacterial community and host-associated molecular marker analyses can be combined to identify potential sources of fecal pollution in an urban river. This study is a proof of concept, and based on the results, we recommend using bacterial community analysis (where possible) along with PCR detection or quantification of host-associated molecular markers to provide information on the sources of fecal pollution in waterways.
机译:在这项研究中,使用高通量测序的宿主相关分子标记和细菌16S rRNA基因群落分析被用于确定澳大利亚布里斯班环境水域粪便污染的来源。从不同宿主群(猫,牛,狗,马,人和袋鼠)收集了总共92份粪便和复合废水样品,并从昆士兰州布里斯班河的6个地点(BR1至BR6)收集了18个水样品,澳大利亚。对粪便,废水和河水样品中的细菌群落进行了测序。还对水样进行了鸟类相关(GFD),牛相关(CowM3),马相关和人相关(HF183)分子标记的检测,以提供有关粪便污染可能存在的多条证据与特定主机关联。在测试的18个水样中,分别有83%,33%,17%和17%的GFD,HF183,CowM3和马标记物实时PCR阳性。在河流中水样中可能存在的粪便污染源中,DNA测序往往显示出废水处理厂的贡献相对较小(占序列读数的13%)。很少检测到其他动物来源的贡献,并且贡献很小(<3%的序列读数)。通过序列分析与分子标记检测确定的源贡献显示出可变的一致性。粪便指示菌,宿主相关的分子标记和16S rRNA基因群落分析数据之间也缺乏关联。尽管如此,我们显示细菌群落和宿主相关的分子标记分析可以结合起来,以确定城市河流中粪便污染的潜在来源。这项研究是一个概念证明,根据结果,我们建议使用细菌群落分析(可能的话)以及PCR检测或宿主相关分子标记物的定量分析来提供有关水道粪便污染来源的信息。

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