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Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden

Next-generation sequencing of the V1–V2 and V3 variable regions of the 16S rRNA gene generated a total of 674,116 reads that described six distinct bacterial biofilm communities from both water meters and pipes. A high degree of reproducibility was demonstrated for the experimental and analytical wo...

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Autores principales: Lührig, Katharina, Canbäck, Björn, Paul, Catherine J., Johansson, Tomas, Persson, Kenneth M., Rådström, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Society of Microbial Ecology (JSME)/The Japanese Society of Soil Microbiology (JSSM) 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356470/
https://www.ncbi.nlm.nih.gov/pubmed/25739379
http://dx.doi.org/10.1264/jsme2.ME14123
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author Lührig, Katharina
Canbäck, Björn
Paul, Catherine J.
Johansson, Tomas
Persson, Kenneth M.
Rådström, Peter
author_facet Lührig, Katharina
Canbäck, Björn
Paul, Catherine J.
Johansson, Tomas
Persson, Kenneth M.
Rådström, Peter
author_sort Lührig, Katharina
collection PubMed
description Next-generation sequencing of the V1–V2 and V3 variable regions of the 16S rRNA gene generated a total of 674,116 reads that described six distinct bacterial biofilm communities from both water meters and pipes. A high degree of reproducibility was demonstrated for the experimental and analytical work-flow by analyzing the communities present in parallel water meters, the rare occurrence of biological replicates within a working drinking water distribution system. The communities observed in water meters from households that did not complain about their drinking water were defined by sequences representing Proteobacteria (82–87%), with 22–40% of all sequences being classified as Sphingomonadaceae. However, a water meter biofilm community from a household with consumer reports of red water and flowing water containing elevated levels of iron and manganese had fewer sequences representing Proteobacteria (44%); only 0.6% of all sequences were classified as Sphingomonadaceae; and, in contrast to the other water meter communities, markedly more sequences represented Nitrospira and Pedomicrobium. The biofilm communities in pipes were distinct from those in water meters, and contained sequences that were identified as Mycobacterium, Nocardia, Desulfovibrio, and Sulfuricurvum. The approach employed in the present study resolved the bacterial diversity present in these biofilm communities as well as the differences that occurred in biofilms within a single distribution system, and suggests that next-generation sequencing of 16S rRNA amplicons can show changes in bacterial biofilm communities associated with different water qualities.
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spelling pubmed-43564702015-03-12 Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden Lührig, Katharina Canbäck, Björn Paul, Catherine J. Johansson, Tomas Persson, Kenneth M. Rådström, Peter Microbes Environ Articles Next-generation sequencing of the V1–V2 and V3 variable regions of the 16S rRNA gene generated a total of 674,116 reads that described six distinct bacterial biofilm communities from both water meters and pipes. A high degree of reproducibility was demonstrated for the experimental and analytical work-flow by analyzing the communities present in parallel water meters, the rare occurrence of biological replicates within a working drinking water distribution system. The communities observed in water meters from households that did not complain about their drinking water were defined by sequences representing Proteobacteria (82–87%), with 22–40% of all sequences being classified as Sphingomonadaceae. However, a water meter biofilm community from a household with consumer reports of red water and flowing water containing elevated levels of iron and manganese had fewer sequences representing Proteobacteria (44%); only 0.6% of all sequences were classified as Sphingomonadaceae; and, in contrast to the other water meter communities, markedly more sequences represented Nitrospira and Pedomicrobium. The biofilm communities in pipes were distinct from those in water meters, and contained sequences that were identified as Mycobacterium, Nocardia, Desulfovibrio, and Sulfuricurvum. The approach employed in the present study resolved the bacterial diversity present in these biofilm communities as well as the differences that occurred in biofilms within a single distribution system, and suggests that next-generation sequencing of 16S rRNA amplicons can show changes in bacterial biofilm communities associated with different water qualities. The Japanese Society of Microbial Ecology (JSME)/The Japanese Society of Soil Microbiology (JSSM) 2015-03 2015-02-21 /pmc/articles/PMC4356470/ /pubmed/25739379 http://dx.doi.org/10.1264/jsme2.ME14123 Text en Copyright 2015 by Japanese Society of Microbial Ecology / Japanese Society of Soil Microbiology / Taiwan Society of Microbial Ecology http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Lührig, Katharina
Canbäck, Björn
Paul, Catherine J.
Johansson, Tomas
Persson, Kenneth M.
Rådström, Peter
Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden
title Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden
title_full Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden
title_fullStr Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden
title_full_unstemmed Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden
title_short Bacterial Community Analysis of Drinking Water Biofilms in Southern Sweden
title_sort bacterial community analysis of drinking water biofilms in southern sweden
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356470/
https://www.ncbi.nlm.nih.gov/pubmed/25739379
http://dx.doi.org/10.1264/jsme2.ME14123
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