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Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality

Next generation sequencing (NGS) has rapidly become an invaluable tool for the detection, identification and relative quantification of environmental microorganisms. Here, we demonstrate two new 16S rDNA primer sets, which are compatible with NGS approaches and are primarily for use in water quality...

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Autores principales: Lee, Elvina, Khurana, Maninder S., Whiteley, Andrew S., Monis, Paul T., Bath, Andrew, Gordon, Cameron, Ryan, Una M., Paparini, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5261608/
https://www.ncbi.nlm.nih.gov/pubmed/28118368
http://dx.doi.org/10.1371/journal.pone.0170008
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author Lee, Elvina
Khurana, Maninder S.
Whiteley, Andrew S.
Monis, Paul T.
Bath, Andrew
Gordon, Cameron
Ryan, Una M.
Paparini, Andrea
author_facet Lee, Elvina
Khurana, Maninder S.
Whiteley, Andrew S.
Monis, Paul T.
Bath, Andrew
Gordon, Cameron
Ryan, Una M.
Paparini, Andrea
author_sort Lee, Elvina
collection PubMed
description Next generation sequencing (NGS) has rapidly become an invaluable tool for the detection, identification and relative quantification of environmental microorganisms. Here, we demonstrate two new 16S rDNA primer sets, which are compatible with NGS approaches and are primarily for use in water quality studies. Compared to 16S rRNA gene based universal primers, in silico and experimental analyses demonstrated that the new primers showed increased specificity for the Cyanobacteria and Proteobacteria phyla, allowing increased sensitivity for the detection, identification and relative quantification of toxic bloom-forming microalgae, microbial water quality bioindicators and common pathogens. Significantly, Cyanobacterial and Proteobacterial sequences accounted for ca. 95% of all sequences obtained within NGS runs (when compared to ca. 50% with standard universal NGS primers), providing higher sensitivity and greater phylogenetic resolution of key water quality microbial groups. The increased selectivity of the new primers allow the parallel sequencing of more samples through reduced sequence retrieval levels required to detect target groups, potentially reducing NGS costs by 50% but still guaranteeing optimal coverage and species discrimination.
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spelling pubmed-52616082017-02-17 Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality Lee, Elvina Khurana, Maninder S. Whiteley, Andrew S. Monis, Paul T. Bath, Andrew Gordon, Cameron Ryan, Una M. Paparini, Andrea PLoS One Research Article Next generation sequencing (NGS) has rapidly become an invaluable tool for the detection, identification and relative quantification of environmental microorganisms. Here, we demonstrate two new 16S rDNA primer sets, which are compatible with NGS approaches and are primarily for use in water quality studies. Compared to 16S rRNA gene based universal primers, in silico and experimental analyses demonstrated that the new primers showed increased specificity for the Cyanobacteria and Proteobacteria phyla, allowing increased sensitivity for the detection, identification and relative quantification of toxic bloom-forming microalgae, microbial water quality bioindicators and common pathogens. Significantly, Cyanobacterial and Proteobacterial sequences accounted for ca. 95% of all sequences obtained within NGS runs (when compared to ca. 50% with standard universal NGS primers), providing higher sensitivity and greater phylogenetic resolution of key water quality microbial groups. The increased selectivity of the new primers allow the parallel sequencing of more samples through reduced sequence retrieval levels required to detect target groups, potentially reducing NGS costs by 50% but still guaranteeing optimal coverage and species discrimination. Public Library of Science 2017-01-24 /pmc/articles/PMC5261608/ /pubmed/28118368 http://dx.doi.org/10.1371/journal.pone.0170008 Text en © 2017 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lee, Elvina
Khurana, Maninder S.
Whiteley, Andrew S.
Monis, Paul T.
Bath, Andrew
Gordon, Cameron
Ryan, Una M.
Paparini, Andrea
Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality
title Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality
title_full Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality
title_fullStr Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality
title_full_unstemmed Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality
title_short Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality
title_sort novel primer sets for next generation sequencing-based analyses of water quality
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5261608/
https://www.ncbi.nlm.nih.gov/pubmed/28118368
http://dx.doi.org/10.1371/journal.pone.0170008
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