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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-5054601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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