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本文引用的文献

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Fecal source identification using random forest.使用随机森林进行粪便来源识别。
Microbiome. 2018 Oct 18;6(1):185. doi: 10.1186/s40168-018-0568-3.
2
Bacteroides sedimenti sp. nov., isolated from a chloroethenes-dechlorinating consortium enriched from river sediment.沉降拟杆菌(Bacteroides sedimenti)sp. nov.,从富含氯代烃脱氯菌的河流沉积物中富集得到。
J Microbiol. 2018 Sep;56(9):619-627. doi: 10.1007/s12275-018-8187-z. Epub 2018 Aug 23.
3
High levels of sewage contamination released from urban areas after storm events: A quantitative survey with sewage specific bacterial indicators.暴雨事件后城区释放的高污染污水:使用污水特异性细菌指标的定量调查。
PLoS Med. 2018 Jul 24;15(7):e1002614. doi: 10.1371/journal.pmed.1002614. eCollection 2018 Jul.
4
Human-Associated Lachnospiraceae Genetic Markers Improve Detection of Fecal Pollution Sources in Urban Waters.人类相关lachnospiraceae 遗传标记提高城市水体粪便污染来源的检测。
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5
Global Distribution of Human-Associated Fecal Genetic Markers in Reference Samples from Six Continents.全球六大陆参考样本中人源粪便遗传标记的分布。
Environ Sci Technol. 2018 May 1;52(9):5076-5084. doi: 10.1021/acs.est.7b04438. Epub 2018 Apr 16.
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Association between duration of intravenous antibiotic administration and early-life microbiota development in late-preterm infants.静脉用抗生素使用时间与晚期早产儿生命早期微生物组发育的关联。
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A High-Throughput DNA-Sequencing Approach for Determining Sources of Fecal Bacteria in a Lake Superior Estuary.高通量 DNA 测序法用于确定苏必利尔湖河口粪便细菌的来源。
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高度特异性的污水衍生定量 PCR 检测方法针对受污水污染的水域。

Highly Specific Sewage-Derived Quantitative PCR Assays Target Sewage-Polluted Waters.

机构信息

School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA

出版信息

Appl Environ Microbiol. 2019 Mar 6;85(6). doi: 10.1128/AEM.02696-18. Print 2019 Mar 15.

DOI:10.1128/AEM.02696-18
PMID:30635376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6414369/
Abstract

The identification of sewage contamination in water has primarily relied on the detection of human-associated using markers within the V2 region of the 16S rRNA gene. Despite the establishment of multiple assays that target the HF183 cluster (i.e., ) and other organisms (e.g., ), the potential for more human-associated markers in this genus has not been explored in depth. We examined the population structure in sewage and animal hosts across the V4V5 and V6 hypervariable regions. Using near-full-length cloned sequences, we identified the sequences in the V4V5 and V6 hypervariable regions that are linked to the HF183 marker in the V2 region and found these sequences were present in multiple animals. In addition, the V4V5 and V6 regions contained human fecal marker sequences for organisms that were independent of the HF183 cluster. The most abundant in untreated sewage was not human associated but pipe derived. Two TaqMan quantitative PCR (qPCR) assays targeting the V4V5 and V6 regions of this organism were developed. Validation studies using fecal samples from seven animal hosts ( = 76) and uncontaminated water samples ( = 30) demonstrated the high specificity of the assays for sewage. Freshwater were also identified in uncontaminated water samples, demonstrating that measures of total do not reflect fecal pollution. A comparison of two previously described human assays (HB and HF183/BacR287) in municipal wastewater influent and sewage-contaminated urban water samples revealed identical results, illustrating the assays target the same organism. The detection of sewage-derived provided an independent measure of sewage-impacted waters. are major members of the gut microbiota, and host-specific organisms within this genus have been used extensively to gain information on pollution sources. This study provides a broad view of the population structure of within sewage to contextualize the well-studied HF183 marker for a human-associated The study also delineates host-specific sequence patterns across multiple hypervariable regions of the 16S rRNA gene to improve our ability to use sequence data to assess water quality. Here, we demonstrate that regions downstream of the HF183 marker are nonspecific but other potential human-associated markers are present. Furthermore, we show the most abundant in sewage is free living, rather than host associated, and specifically found in sewage. Quantitative PCR assays that target organisms specific to sewer pipes offer measures that are independent of the human microbiome for identifying sewage pollution in water.

摘要

污水污染的鉴定主要依赖于在 16S rRNA 基因的 V2 区中使用与人类相关的标记物来检测。尽管已经建立了多种针对 HF183 簇(即 )和其他 生物体(例如 )的检测方法,但该属中尚未深入探索更多与人类相关的标记物。我们研究了污水和动物宿主中 V4V5 和 V6 高变区的 种群结构。使用近乎全长克隆序列,我们确定了与 V2 区 HF183 标记物相关的 V4V5 和 V6 高变区中的序列,并发现这些序列存在于多种动物中。此外,V4V5 和 V6 区包含与 HF183 簇无关的人类粪便标记物序列。未经处理的污水中最丰富的 不是人类相关的,而是来自管道。针对该生物体的 V4V5 和 V6 区开发了两种 TaqMan 定量 PCR(qPCR)检测方法。使用来自 7 种动物宿主(n=76)和未受污染水样本(n=30)的粪便样本进行验证研究表明,该检测方法对污水具有很高的特异性。在未受污染的水样中也鉴定出淡水 ,表明总 的测量不能反映粪便污染。对两种先前描述的人类 检测方法(HB 和 HF183/BacR287)在市政废水进水和受污水污染的城市水样中的比较表明结果相同,这表明这些检测方法针对的是相同的生物体。污水衍生的 的检测为受污水影响的水提供了独立的污水污染评估。 是肠道微生物群的主要成员,该属内的宿主特异性生物体已被广泛用于获取有关污染源的信息。本研究提供了污水中 种群结构的广泛视图,以说明针对人类相关 的研究良好的 HF183 标记物。该研究还描绘了 16S rRNA 基因多个高变区的宿主特异性序列模式,以提高我们使用序列数据评估水质的能力。在这里,我们证明 HF183 标记物下游的区域是非特异性的,但存在其他潜在的人类相关标记物。此外,我们表明污水中最丰富的 是自由生活的,而不是与宿主相关的,并且专门存在于污水中。针对特定于污水管的生物体的定量 PCR 检测方法提供了独立于人类微生物组的措施,用于识别水中的污水污染。