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Potential applications of next generation DNA sequencing of 16S rRNA gene amplicons in microbial water quality monitoring
Author(s) -
Julia Vierheilig,
Domenico Savio,
Ruth E. Ley,
Robert L. Mach,
Andreas H. Farnleitner,
Georg H. Reischer
Publication year - 2015
Publication title -
water science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 137
eISSN - 1996-9732
pISSN - 0273-1223
DOI - 10.2166/wst.2015.407
Subject(s) - pyrosequencing , amplicon , metagenomics , water quality , environmental dna , biology , 16s ribosomal rna , dna sequencing , fecal coliform , source tracking , computational biology , polymerase chain reaction , ecology , dna , gene , genetics , biodiversity , world wide web , computer science
The applicability of next generation DNA sequencing (NGS) methods for water quality assessment has so far not been broadly investigated. This study set out to evaluate the potential of an NGS-based approach in a complex catchment with importance for drinking water abstraction. In this multi-compartment investigation, total bacterial communities in water, faeces, soil, and sediment samples were investigated by 454 pyrosequencing of bacterial 16S rRNA gene amplicons to assess the capabilities of this NGS method for (i) the development and evaluation of environmental molecular diagnostics, (ii) direct screening of the bulk bacterial communities, and (iii) the detection of faecal pollution in water. Results indicate that NGS methods can highlight potential target populations for diagnostics and will prove useful for the evaluation of existing and the development of novel DNA-based detection methods in the field of water microbiology. The used approach allowed unveiling of dominant bacterial populations but failed to detect populations with low abundances such as faecal indicators in surface waters. In combination with metadata, NGS data will also allow the identification of drivers of bacterial community composition during water treatment and distribution, highlighting the power of this approach for monitoring of bacterial regrowth and contamination in technical systems.

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