International Journal of Environmental Research and Public Health Article A Community Multi-Omics Approach towards the Assessment of Surface Water Quality in an Urban River System David J. Beale 1,*, Avinash V. Karpe 1,2, Warish Ahmed 1, Stephen Cook 3, Paul D. Morrison 4, Christopher Staley 5, Michael J. Sadowsky 5 and Enzo A. Palombo 2 1 Land and Water, Commonwealth Scientific and Industrial Research Organization, P.O. Box 2583, Dutton Park, Queensland 4001, Australia;
[email protected] (A.V.K.);
[email protected] (W.A.) 2 Department of Chemistry and Biotechnology, Faculty of Science, Engineering and Technology, Swinburne University of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia;
[email protected] 3 Land and Water, Commonwealth Scientific and Industrial Research Organization, Private Bag 10 Clayton South, Victoria 3169, Australia;
[email protected] 4 Australian Centre for Research on Separation Science, School of Applied Sciences, RMIT University, P.O. Box 2547, Melbourne, Victoria 3000, Australia;
[email protected] 5 Biotechnology Institute, University of Minnesota, St. Paul, MI 55108, USA;
[email protected] (C.S.);
[email protected] (M.J.S.) * Correspondence:
[email protected]; Tel.: +61-7-3833-5774 Academic Editor: Susanne Charlesworth Received: 19 January 2017; Accepted: 8 March 2017; Published: 14 March 2017 Abstract: A multi-omics approach was applied to an urban river system (the Brisbane River (BR), Queensland, Australia) in order to investigate surface water quality and characterize the bacterial population with respect to water contaminants. To do this, bacterial metagenomic amplicon-sequencing using Illumina next-generation sequencing (NGS) of the V5–V6 hypervariable regions of the 16S rRNA gene and untargeted community metabolomics using gas chromatography coupled with mass spectrometry (GC-MS) were utilized.