ArticleInternational journal of environmental research and public health2017
A Community Multi-Omics Approach towards the Assessment of Surface Water Quality in an Urban River System.
Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Marine microbiomes and their expanding role in biotechnological potential: a systematic review.Archives of microbiology · 2026Pooled it
- ExploringAntibiotics (Basel, Switzerland) · 2026Article
- Metagenomic insights into microbial diversity, xenobiotic and plastic-degrading enzymes in sediments of river Yamuna at Agra.Frontiers in microbiology · 2026Article
- Microbial Ecotoxicology-40 Years on.Life (Basel, Switzerland) · 2025Article
- Oxford Nanopore long read-based shotgun metagenomic data sets of simulated bacterial communities originating from fresh spinach and surface water.Microbiology resource announcements · 2024Article
- Illumina short read-based shotgun metagenomic data sets of simulated bacterial communities derived from fresh spinach and surface water.Microbiology resource announcements · 2024Article
- Advancing metagenome-assembled genome-based pathogen identification: unraveling the power of long-read assembly algorithms in Oxford Nanopore sequencing.Microbiology spectrum · 2024Article
- Machine learning and metagenomics identifies uncharacterized taxa inferred to drive biogeochemical cycles in a subtropical hypereutrophic estuary.ISME communications · 2024Article
- Progress and challenges in exploring aquatic microbial communities using non-targeted metabolomics.The ISME journal · 2023Review
- Ecotoxicological Study of Tannic Acid on Soil and Water Non-Target Indicators and Its Impact on Fluvial and Edaphic Communities.Plants (Basel, Switzerland) · 2023Article
- Intelligent Biological Networks: Improving Anti-Microbial Resistance Resilience through Nutritional Interventions to Understand Protozoal Gut Infections.Microorganisms · 2023Review
- Review
- Critical Assessment of Short-Read Assemblers for the Metagenomic Identification of Foodborne and Waterborne Pathogens Using Simulated Bacterial Communities.Microorganisms · 2022Article
- Omics-based ecosurveillance for the assessment of ecosystem function, health, and resilience.Emerging topics in life sciences · 2022Review
- Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review.International journal of molecular sciences · 2022Review
- Microbe-assisted phytoremediation of environmental pollutants and energy recycling in sustainable agriculture.Archives of microbiology · 2021Review
- Cryptosporidiosis Modulates the Gut Microbiome and Metabolism in a Murine Infection Model.Metabolites · 2021Article
- Active Microbiome Structure and Functional Analyses of Freshwater Benthic Biofilm Samples Influenced by RNA Extraction Methods.Frontiers in microbiology · 2021Article
- How Do the Players Play? A Post-Genomic Analysis Paradigm to Understand Aquatic Ecosystem Processes.Frontiers in molecular biosciences · 2021Article
- Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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. The multi-omics data, in combination with fecal indicator bacteria (FIB) counts, trace metal concentrations (by inductively coupled plasma mass spectrometry (ICP-MS)) and in-situ water quality measurements collected from various locations along the BR were then used to assess the health of the river ecosystem. Sites sampled represented the transition from less affected (upstream) to polluted (downstream) environments along the BR. Chemometric analysis of the combined datasets indicated a clear separation between the sampled environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.