Evidence map›Paper›PMID 27716450›Full record

ArticleMicrobiome2016

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

Maria Hammond, Felix Homa, Helene Andersson-Svahn, Thijs J G Ettema, Haakan N Joensson

Abstract read
In one paragraph

Article in Microbiome, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maria HammondDepartment of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. maria.hammond@icm.uu.se.ORCID 0000-0002-8375-6676
Felix HomaDepartment of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Helene Andersson-SvahnDivision of Proteomics and Nanobiotechnology, Science for Life Laboratory, Royal Institute of Technology (KTH), Stockholm, Sweden.
Thijs J G EttemaDepartment of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Haakan N JoenssonDivision of Proteomics and Nanobiotechnology, Science for Life Laboratory, Royal Institute of Technology (KTH), Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole 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.

resultsAs 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.

conclusionsPartitioning 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.

Indexed as

AcidobacteriaActinobacteriaBase SequenceBiomassDNA, BacterialGenome, BacterialMetagenomicsMicrofluidicsNucleic Acid Amplification TechniquesPolymerase Chain ReactionPseudomonas stutzeriRhodobacteraceaeSequence Analysis, DNAVerrucomicrobiaDNA, BacterialAmplification biasDroplet microfluidicsMetagenomicsMultiple displacement amplificationWhole genome amplification

Identifiers

PMID27716450
PMCPMC5054601

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.