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

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 (rrs) sequences. Non-metric multi-dimensional scal...

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Autores principales: Marti, Romain, Ribun, Sébastien, Aubin, Jean-Baptiste, Colinon, Céline, Petit, Stéphanie, Marjolet, Laurence, Gourmelon, Michèle, Schmitt, Laurent, Breil, Pascal, Cottet, Marylise, Cournoyer, Benoit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5258724/
https://www.ncbi.nlm.nih.gov/pubmed/28174557
http://dx.doi.org/10.3389/fmicb.2017.00019
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author Marti, Romain
Ribun, Sébastien
Aubin, Jean-Baptiste
Colinon, Céline
Petit, Stéphanie
Marjolet, Laurence
Gourmelon, Michèle
Schmitt, Laurent
Breil, Pascal
Cottet, Marylise
Cournoyer, Benoit
author_facet Marti, Romain
Ribun, Sébastien
Aubin, Jean-Baptiste
Colinon, Céline
Petit, Stéphanie
Marjolet, Laurence
Gourmelon, Michèle
Schmitt, Laurent
Breil, Pascal
Cottet, Marylise
Cournoyer, Benoit
author_sort Marti, Romain
collection PubMed
description 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 (rrs) 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 Flavobacterium and Aquabacterium. Relative numbers of Gaiella, Haliangium, and Thermoleophilum 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 Aeromonas, Acinetobacter, and Pseudomonas. Fecal indicators (Escherichia coli 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.
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spelling pubmed-52587242017-02-07 Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses Marti, Romain Ribun, Sébastien Aubin, Jean-Baptiste Colinon, Céline Petit, Stéphanie Marjolet, Laurence Gourmelon, Michèle Schmitt, Laurent Breil, Pascal Cottet, Marylise Cournoyer, Benoit Front Microbiol Microbiology 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 (rrs) 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 Flavobacterium and Aquabacterium. Relative numbers of Gaiella, Haliangium, and Thermoleophilum 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 Aeromonas, Acinetobacter, and Pseudomonas. Fecal indicators (Escherichia coli 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. Frontiers Media S.A. 2017-01-24 /pmc/articles/PMC5258724/ /pubmed/28174557 http://dx.doi.org/10.3389/fmicb.2017.00019 Text en Copyright © 2017 Marti, Ribun, Aubin, Colinon, Petit, Marjolet, Gourmelon, Schmitt, Breil, Cottet and Cournoyer. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Marti, Romain
Ribun, Sébastien
Aubin, Jean-Baptiste
Colinon, Céline
Petit, Stéphanie
Marjolet, Laurence
Gourmelon, Michèle
Schmitt, Laurent
Breil, Pascal
Cottet, Marylise
Cournoyer, Benoit
Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses
title Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses
title_full Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses
title_fullStr Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses
title_full_unstemmed Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses
title_short Human-Driven Microbiological Contamination of Benthic and Hyporheic Sediments of an Intermittent Peri-Urban River Assessed from MST and 16S rRNA Genetic Structure Analyses
title_sort human-driven microbiological contamination of benthic and hyporheic sediments of an intermittent peri-urban river assessed from mst and 16s rrna genetic structure analyses
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5258724/
https://www.ncbi.nlm.nih.gov/pubmed/28174557
http://dx.doi.org/10.3389/fmicb.2017.00019
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