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Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis

BACKGROUND: Whole genome amplification (WGA) is a challenging, key step in metagenomic studies of samples containing minute amounts of DNA, such as samples from low biomass environments. It is well known that multiple displacement amplification (MDA), the most commonly used WGA method for microbial...

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Autores principales: Hammond, Maria, Homa, Felix, Andersson-Svahn, Helene, Ettema, Thijs J. G., Joensson, Haakan N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054601/
https://www.ncbi.nlm.nih.gov/pubmed/27716450
http://dx.doi.org/10.1186/s40168-016-0197-7
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author Hammond, Maria
Homa, Felix
Andersson-Svahn, Helene
Ettema, Thijs J. G.
Joensson, Haakan N.
author_facet Hammond, Maria
Homa, Felix
Andersson-Svahn, Helene
Ettema, Thijs J. G.
Joensson, Haakan N.
author_sort Hammond, Maria
collection PubMed
description BACKGROUND: Whole genome amplification (WGA) is a challenging, key step in metagenomic studies of samples containing minute amounts of DNA, such as samples from low biomass environments. It is well known that multiple displacement amplification (MDA), the most commonly used WGA method for microbial samples, skews the genomic representation in the sample. We have combined MDA with droplet microfluidics to perform the reaction in a homogeneous emulsion. Each droplet in this emulsion can be considered an individual reaction chamber, allowing partitioning of the MDA reaction into millions of parallel reactions with only one or very few template molecules per droplet. RESULTS: As a proof-of-concept, we amplified genomic DNA from a synthetic metagenome by MDA either in one bulk reaction or in emulsion and found that after sequencing, the species distribution was better preserved and the coverage depth was more evenly distributed across the genomes when the MDA reaction had been performed in emulsion. CONCLUSIONS: Partitioning MDA reactions into millions of reactions by droplet microfluidics is a straightforward way to improve the uniformity of MDA reactions for amplifying complex samples with limited amounts of DNA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-016-0197-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-50546012016-10-19 Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis Hammond, Maria Homa, Felix Andersson-Svahn, Helene Ettema, Thijs J. G. Joensson, Haakan N. Microbiome Methodology BACKGROUND: Whole genome amplification (WGA) is a challenging, key step in metagenomic studies of samples containing minute amounts of DNA, such as samples from low biomass environments. It is well known that multiple displacement amplification (MDA), the most commonly used WGA method for microbial samples, skews the genomic representation in the sample. We have combined MDA with droplet microfluidics to perform the reaction in a homogeneous emulsion. Each droplet in this emulsion can be considered an individual reaction chamber, allowing partitioning of the MDA reaction into millions of parallel reactions with only one or very few template molecules per droplet. RESULTS: As a proof-of-concept, we amplified genomic DNA from a synthetic metagenome by MDA either in one bulk reaction or in emulsion and found that after sequencing, the species distribution was better preserved and the coverage depth was more evenly distributed across the genomes when the MDA reaction had been performed in emulsion. CONCLUSIONS: Partitioning MDA reactions into millions of reactions by droplet microfluidics is a straightforward way to improve the uniformity of MDA reactions for amplifying complex samples with limited amounts of DNA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-016-0197-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-06 /pmc/articles/PMC5054601/ /pubmed/27716450 http://dx.doi.org/10.1186/s40168-016-0197-7 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Hammond, Maria
Homa, Felix
Andersson-Svahn, Helene
Ettema, Thijs J. G.
Joensson, Haakan N.
Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
title Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
title_full Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
title_fullStr Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
title_full_unstemmed Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
title_short Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
title_sort picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054601/
https://www.ncbi.nlm.nih.gov/pubmed/27716450
http://dx.doi.org/10.1186/s40168-016-0197-7
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