2017
DOI: 10.1371/journal.pone.0170008
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Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality

Abstract: 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, allowin… Show more

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Cited by 14 publications
(24 citation statements)
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References 58 publications
(65 reference statements)
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“…By applying this approach, functional and taxonomic microbial diversity can be described and then changes in communities can be monitored over time and space in response to anthropogenic or environmental impacts related to human health (Port et al ., 2012). The growing accessibility of next-generation DNA sequencing (NGS) methods has greatly advanced our understanding of microbial diversity in medical and environmental science (Lee et al ., 2017). The Next-generation sequencing (NGS) methods have prominently increased sequencing throughput by using massively parallel sequencing (Sogin et al ., 2006).…”
Section: Introductionmentioning
confidence: 99%
“…By applying this approach, functional and taxonomic microbial diversity can be described and then changes in communities can be monitored over time and space in response to anthropogenic or environmental impacts related to human health (Port et al ., 2012). The growing accessibility of next-generation DNA sequencing (NGS) methods has greatly advanced our understanding of microbial diversity in medical and environmental science (Lee et al ., 2017). The Next-generation sequencing (NGS) methods have prominently increased sequencing throughput by using massively parallel sequencing (Sogin et al ., 2006).…”
Section: Introductionmentioning
confidence: 99%
“…OTUs that did not cluster with known taxa at 97% identity or higher in the database were clustered de novo and not de novo (UCLUST) (Edgar, 2010). Representative sequences for each OTU were then aligned using PyNast [ 20 ], and taxonomy was assigned using the RDP classifier (Version 2.2) [ 21 ]. A phylogenetic tree was built using FastTree.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, this tool has been used as an assessment approach to quantify the risk of exposure to cyanobacteria and their toxins that pose threats to human health. Furthermore, the classification of cyanobacteria has been carried out by previous studies using PCR [36][37][38] , with much effort being directed towards the assessment of cyanobacterial diversity. Cyanobacteria have been identified up to the genus level using the 16S rRNA gene sequencing 37 .…”
mentioning
confidence: 99%
“…Cyanobacteria have been identified up to the genus level using the 16S rRNA gene sequencing 37 . However, factors such as sequencing method, amplicon targeted (locus and region), bioinformatics pipeline, thermal cycling conditions used, and choice of primers have been identified to affect the success and resultant quality of PCR-based sequencing 38 . Therefore, 16S rRNA coupled with available sequencing information gives higher detectability and allows taxonomic classification of cyanobacteria, potentially to species level [38][39][40] .…”
mentioning
confidence: 99%