Article (Scientific journals)
Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams
Busi, Susheel Bhanu; Pramateftaki, Paraskevi; Brandani, Jade et al.
2020In PeerJ
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Licence This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. Cite this article Busi SB, Pramateftaki P, Brandani J, Fodelianakis S, Peter H, Halder R, Wilmes P, Battin TJ. 2020. Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams. PeerJ 8:e9973 https://doi.org/10.7717/peerj.9973


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Keywords :
Biofilms; Streams; Alpine streams; Glacier fed streams; Glaciers; Metagenomics; Biomolecular extraction
Abstract :
[en] Glacier-fed streams (GFS) are harsh ecosystems dominated by microbial life organized in benthic biofilms, yet the biodiversity and ecosystem functions provided by these communities remain under-appreciated. To better understand the microbial processes and communities contributing to GFS ecosystems, it is necessary to leverage high throughput sequencing. Low biomass and high inorganic particle load in GFS sediment samples may affect nucleic acid extraction efficiency using extraction methods tailored to other extreme environments such as deep-sea sediments. Here, we benchmarked the utility and efficacy of four extraction protocols, including an up-scaled phenol-chloroform protocol. We found that established protocols for comparable sample types consistently failed to yield sufficient high-quality DNA, delineating the extreme character of GFS. The methods differed in the success of downstream applications such as library preparation and sequencing. An adapted phenol-chloroform-based extraction method resulted in higher yields and better recovered the expected taxonomic profile and abundance of reconstructed genomes when compared to commercially-available methods. Affordable and straight-forward, this method consistently recapitulated the abundance and genomes of a mock community, including eukaryotes. Moreover, by increasing the amount of input sediment, the protocol is readily adjustable to the microbial load of the processed samples without compromising protocol efficiency. Our study provides a first systematic and extensive analysis of the different options for extraction of nucleic acids from glacier-fed streams for high-throughput sequencing applications, which may be applied to other extreme environments.
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Environmental sciences & ecology
Author, co-author :
Busi, Susheel Bhanu  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology
Pramateftaki, Paraskevi ;  Ecole Polytechnique Fédérale de Lausanne - EPFL > Stream Biofilm and Ecosystems Research
Brandani, Jade;  Ecole Polytechnique Fédérale de Lausanne - EPFL > Stream Biofilm and Ecosystems Research
Fodelianakis, Stilianos;  Ecole Polytechnique Fédérale de Lausanne - EPFL > Stream Biofilm and Ecosystems Research
Peter, Hannes;  Ecole Polytechnique Fédérale de Lausanne - EPFL > Stream Biofilm and Ecosystems Research
Halder, Rashi ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Scientific Central Services
Wilmes, Paul ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology
Battin, Tom;  Ecole Polytechnique Fédérale de Lausanne - EPFL > Stream Biofilm and Ecosystems Research
 These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams
Publication date :
27 October 2020
Journal title :
PeerJ
ISSN :
2167-8359
Publisher :
PeerJ, San Francisco, United States - California
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
Name of the research project :
R-AGR-3458-10-R
Funders :
Swiss National Foundation
Available on ORBilu :
since 28 November 2020

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