Evidence map›Paper›PMID 25815165›Full record

ArticleGigaScience2015

Bacterial and viral identification and differentiation by amplicon sequencing on the MinION nanopore sequencer.

Andy Kilianski, Jamie L Haas, Elizabeth J Corriveau, Alvin T Liem, Kristen L Willis, Dana R Kadavy, C Nicole Rosenzweig, Samuel S Minot

Abstract read
In one paragraph

Article in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Rapid diagnosis of fatalFrontiers in medicine · 2023
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  17. Discriminating Clonotypes of Influenza A Virus Genes by Nanopore Sequencing.International journal of molecular sciences · 2021
    Article
  18. Article
  19. Article
  20. Review

12 more citing papers are in PubMed but not listed here.

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

8 authors.

Andy KilianskiEdgewood Chemical Biological Center, 5183 Black Hawk Rd Bldg E3150 Rm 324, Aberdeen Proving Ground, MD 21010 USA.
Jamie L HaasSignature Science, LLC, 8329 N. MoPac Expressway, Austin, TX 78759 USA.
Elizabeth J CorriveauEdgewood Chemical Biological Center, 5183 Black Hawk Rd Bldg E3150 Rm 324, Aberdeen Proving Ground, MD 21010 USA.
Alvin T LiemEdgewood Chemical Biological Center, 5183 Black Hawk Rd Bldg E3150 Rm 324, Aberdeen Proving Ground, MD 21010 USA.
Kristen L WillisEdgewood Chemical Biological Center, 5183 Black Hawk Rd Bldg E3150 Rm 324, Aberdeen Proving Ground, MD 21010 USA ; Defense Threat Reduction Agency, 8725 John J Kingman Rd Stop 6201, Ft. Belvoir, VA 22060-6201 USA.
Dana R KadavySignature Science, LLC, 8329 N. MoPac Expressway, Austin, TX 78759 USA.
C Nicole RosenzweigEdgewood Chemical Biological Center, 5183 Black Hawk Rd Bldg E3150 Rm 324, Aberdeen Proving Ground, MD 21010 USA.
Samuel S MinotSignature Science, LLC, 8329 N. MoPac Expressway, Austin, TX 78759 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe MinION™ nanopore sequencer was recently released to a community of alpha-testers for evaluation using a variety of sequencing applications. Recent reports have tested the ability of the MinION™ to act as a whole genome sequencer and have demonstrated that nanopore sequencing has tremendous potential utility. However, the current nanopore technology still has limitations with respect to error-rate, and this is problematic when attempting to assemble whole genomes without secondary rounds of sequencing to correct errors. In this study, we tested the ability of the MinION™ nanopore sequencer to accurately identify and differentiate bacterial and viral samples via directed sequencing of characteristic genes shared broadly across a target clade.

resultsUsing a 6 hour sequencing run time, sufficient data were generated to identify an E. coli sample down to the species level from 16S rDNA amplicons. Three poxviruses (cowpox, vaccinia-MVA, and vaccinia-Lister) were identified and differentiated down to the strain level, despite over 98% identity between the vaccinia strains. The ability to differentiate strains by amplicon sequencing on the MinION™ was accomplished despite an observed per-base error rate of approximately 30%.

conclusionsWhile nanopore sequencing, using the MinION™ platform from Oxford Nanopore in particular, continues to mature into a commercially available technology, practical uses are sought for the current versions of the technology. This study offers evidence of the utility of amplicon sequencing by demonstrating that the current versions of MinION™ technology can accurately identify and differentiate both viral and bacterial species present within biological samples via amplicon sequencing.

Indexed as

BacteriaClassificationNanoporesSequence Analysis, DNAVirusesAmpliconEscherichia coliLong-read sequencingMinION™NanoporeNGSOxford NanoporePathogen detectionPoxvirusWhole genome sequencing

Identifiers

PMID25815165
PMCPMC4374364

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.