Evidence map›Paper›PMID 27688978›Full record

ArticlePeerJ2016

Validation of picogram- and femtogram-input DNA libraries for microscale metagenomics.

Christian Rinke, Serene Low, Ben J Woodcroft, Jean-Baptiste Raina, Adam Skarshewski, Xuyen H Le, Margaret K Butler, Roman Stocker, Justin Seymour, Gene W Tyson and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

53 citing papers in PubMed, 101 citations in OpenAlex.

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  19. Historical contingencies and phage induction diversify bacterioplankton communities at the microscale.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

11 authors at 3 institutions in 2 countries.

Christian RinkeAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland , Brisbane, QLD , Australia.
Serene LowAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland , Brisbane, QLD , Australia.
Ben J WoodcroftAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland , Brisbane, QLD , Australia.ORCID 0000-0003-0670-7480
Jean-Baptiste RainaClimate Change Cluster, University of Technology Sydney , Sydney, New South Wales , Australia.
Adam SkarshewskiAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland , Brisbane, QLD , Australia.
Xuyen H LeAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland , Brisbane, QLD , Australia.
Margaret K ButlerAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland , Brisbane, QLD , Australia.
Roman StockerDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich , Zurich , Switzerland.
Justin SeymourClimate Change Cluster, University of Technology Sydney , Sydney, New South Wales , Australia.
Gene W TysonAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia; Advanced Water Management Centre, University of Queensland, Brisbane, QLD, Australia.
Philip HugenholtzAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
The University of Queensland · AUUniversity of Technology Sydney · AUETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing libraries are typically limited by the requirement for nanograms to micrograms of input DNA. This bottleneck impedes the microscale analysis of ecosystems and the exploration of low biomass samples. Current methods for amplifying environmental DNA to bypass this bottleneck introduce considerable bias into metagenomic profiles. Here we describe and validate a simple modification of the Illumina Nextera XT DNA library preparation kit which allows creation of shotgun libraries from sub-nanogram amounts of input DNA. Community composition was reproducible down to 100 fg of input DNA based on analysis of a mock community comprising 54 phylogenetically diverse Bacteria and Archaea. The main technical issues with the low input libraries were a greater potential for contamination, limited DNA complexity which has a direct effect on assembly and binning, and an associated higher percentage of read duplicates. We recommend a lower limit of 1 pg (∼100-1,000 microbial cells) to ensure community composition fidelity, and the inclusion of negative controls to identify reagent-specific contaminants. Applying the approach to marine surface water, pronounced differences were observed between bacterial community profiles of microliter volume samples, which we attribute to biological variation. This result is consistent with expected microscale patchiness in marine communities. We thus envision that our benchmarked, slightly modified low input DNA protocol will be beneficial for microscale and low biomass metagenomics.

Indexed as

100 fgIlluminaLow biomassLow input DNA libraryLow volumeMarine microheterogeneityMicroscale metagenomicsNextera XTPicogramReagent contamination

Identifiers

PMID27688978
PMCPMC5036114
OpenAlexW2521637426

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.