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Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams
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,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597623/ https://www.ncbi.nlm.nih.gov/pubmed/33194372 http://dx.doi.org/10.7717/peerj.9973 |
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author | Busi, Susheel Bhanu Pramateftaki, Paraskevi Brandani, Jade Fodelianakis, Stilianos Peter, Hannes Halder, Rashi Wilmes, Paul Battin, Tom J. |
author_facet | Busi, Susheel Bhanu Pramateftaki, Paraskevi Brandani, Jade Fodelianakis, Stilianos Peter, Hannes Halder, Rashi Wilmes, Paul Battin, Tom J. |
author_sort | Busi, Susheel Bhanu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7597623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75976232020-11-12 Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams Busi, Susheel Bhanu Pramateftaki, Paraskevi Brandani, Jade Fodelianakis, Stilianos Peter, Hannes Halder, Rashi Wilmes, Paul Battin, Tom J. PeerJ Ecosystem Science 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. PeerJ Inc. 2020-10-27 /pmc/articles/PMC7597623/ /pubmed/33194372 http://dx.doi.org/10.7717/peerj.9973 Text en ©2020 Busi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , 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. |
spellingShingle | Ecosystem Science Busi, Susheel Bhanu Pramateftaki, Paraskevi Brandani, Jade Fodelianakis, Stilianos Peter, Hannes Halder, Rashi Wilmes, Paul Battin, Tom J. Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
title | Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
title_full | Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
title_fullStr | Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
title_full_unstemmed | Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
title_short | Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
title_sort | optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams |
topic | Ecosystem Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597623/ https://www.ncbi.nlm.nih.gov/pubmed/33194372 http://dx.doi.org/10.7717/peerj.9973 |
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