Freshwater monitoring by nanopore sequencing

Author:

Urban Lara1ORCID,Holzer Andre2ORCID,Baronas J Jotautas3ORCID,Hall Michael B1ORCID,Braeuninger-Weimer Philipp4ORCID,Scherm Michael J5ORCID,Kunz Daniel J67ORCID,Perera Surangi N8ORCID,Martin-Herranz Daniel E1ORCID,Tipper Edward T3ORCID,Salter Susannah J9ORCID,Stammnitz Maximilian R9ORCID

Affiliation:

1. European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom

2. Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom

3. Department of Earth Sciences, University of Cambridge, Cambridge, United Kingdom

4. Department of Engineering, University of Cambridge, Cambridge, United Kingdom

5. Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom

6. Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom

7. Department of Physics, University of Cambridge, Cambridge, United Kingdom

8. Department of Physiology, Development & Neuroscience, University of Cambridge, Cambridge, United Kingdom

9. Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom

Abstract

While traditional microbiological freshwater tests focus on the detection of specific bacterial indicator species, including pathogens, direct tracing of all aquatic DNA through metagenomics poses a profound alternative. Yet, in situ metagenomic water surveys face substantial challenges in cost and logistics. Here, we present a simple, fast, cost-effective and remotely accessible freshwater diagnostics workflow centred around the portable nanopore sequencing technology. Using defined compositions and spatiotemporal microbiota from surface water of an example river in Cambridge (UK), we provide optimised experimental and bioinformatics guidelines, including a benchmark with twelve taxonomic classification tools for nanopore sequences. We find that nanopore metagenomics can depict the hydrological core microbiome and fine temporal gradients in line with complementary physicochemical measurements. In a public health context, these data feature relevant sewage signals and pathogen maps at species level resolution. We anticipate that this framework will gather momentum for new environmental monitoring initiatives using portable devices.

Funder

Gates Cambridge Trust

Bill and Melinda Gates Foundation

Biotechnology and Biological Sciences Research Council

University of Cambridge

European Bioinformatics Institute

Wellcome Trust

Oliver Gatty Studentship

Natural Environment Research Council

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference86 articles.

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