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通过MST和16S rRNA基因结构分析评估人为驱动的间歇性城郊河流底栖和潜流沉积物的微生物污染

Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses.

作者信息

Marti Romain, Ribun Sébastien, Aubin Jean-Baptiste, Colinon Céline, Petit Stéphanie, Marjolet Laurence, Gourmelon Michèle, Schmitt Laurent, Breil Pascal, Cottet Marylise, Cournoyer Benoit

机构信息

Research Group on "Bacterial Opportunistic Pathogens and Environment", UMR CNRS5557, INRA1418 Ecologie Microbienne, Université Lyon 1, VetAgro Sup Marcy L'Etoile, France.

DEEP, INSA Lyon Villeurbanne, France.

出版信息

Front Microbiol. 2017 Jan 24;8:19. doi: 10.3389/fmicb.2017.00019. eCollection 2017.

Abstract

Rivers are often challenged by fecal contaminations. The barrier effect of sediments against fecal bacteria was investigated through the use of a microbial source tracking (MST) toolbox, and by Next Generation Sequencing (NGS) of V5-V6 16S rRNA gene () sequences. Non-metric multi-dimensional scaling analysis of V5-V6 16S rRNA gene sequences differentiated bacteriomes according to their compartment of origin i.e., surface water against benthic and hyporheic sediments. Classification of these reads showed the most prevalent operating taxonomic units (OTU) to be allocated to and . Relative numbers of , and OTU matched the observed differentiation of bacteriomes according to river compartments. OTU patterns were found impacted by combined sewer overflows (CSO) through an observed increase in diversity from the sewer to the hyporheic sediments. These changes appeared driven by direct transfers of bacterial contaminants from wastewaters but also by organic inputs favoring previously undetectable bacterial groups among sediments. These NGS datasets appeared more sensitive at tracking community changes than MST markers. The human-specific MST marker HF183 was strictly detected among CSO-impacted surface waters and not river bed sediments. The ruminant-specific DNA marker was more broadly distributed but intense bovine pollution was required to detect transfers from surface water to benthic and hyporheic sediments. Some OTU showed distribution patterns in line with these MST datasets such as those allocated to the , and . Fecal indicators ( and total thermotolerant coliforms) were detected all over the river course but their concentrations were not correlated with MST ones. Overall, MST and NGS datasets suggested a poor colonization of river sediments by bovine and sewer bacterial contaminants. No environmental outbreak of these bacterial contaminants was detected.

摘要

河流经常受到粪便污染的挑战。通过使用微生物源追踪(MST)工具箱以及对V5-V6 16S rRNA基因()序列进行下一代测序(NGS),研究了沉积物对粪便细菌的屏障作用。对V5-V6 16S rRNA基因序列进行的非度量多维标度分析,根据细菌群落的起源区室(即地表水与底栖和潜流沉积物)对其进行了区分。这些读数的分类显示,最普遍的操作分类单元(OTU)被分配到和。、和OTU的相对数量与根据河流区室观察到的细菌群落分化情况相匹配。通过观察到从下水道到潜流沉积物的多样性增加,发现OTU模式受到合流污水溢流(CSO)的影响。这些变化似乎是由细菌污染物从废水的直接转移以及有利于沉积物中以前无法检测到的细菌群体的有机输入驱动的。这些NGS数据集在追踪群落变化方面似乎比MST标记更敏感。在受CSO影响的地表水而非河床沉积物中严格检测到了人类特异性MST标记HF183。反刍动物特异性DNA标记分布更广泛,但需要强烈的牛污染才能检测到从地表水到底栖和潜流沉积物的转移。一些OTU显示出与这些MST数据集一致的分布模式,例如那些分配到、和的OTU。在整个河道中都检测到了粪便指示物(和总耐热大肠菌群),但其浓度与MST指示物不相关。总体而言,MST和NGS数据集表明,牛和下水道细菌污染物在河流沉积物中的定殖情况较差。未检测到这些细菌污染物的环境爆发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79d/5258724/fd5821d0fc49/fmicb-08-00019-g0001.jpg

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