Evidence map›Paper›PMID 28827531›Full record

ArticleScientific reports2017

Field-based species identification of closely-related plants using real-time nanopore sequencing.

Joe Parker, Andrew J Helmstetter, Dion Devey, Tim Wilkinson, Alexander S T Papadopulos

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Nanopore sequencing in veterinary medicine: from concepts to clinical applications.Frontiers in cellular and infection microbiology · 2025
    Review
  6. Article
  7. Article
  8. A new species ofIMA fungus · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Mitochondrial Genome ofPlants (Basel, Switzerland) · 2020
    Article
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.

Joe ParkerJodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, UK, TW9 3AB. joe.parker@kew.org.ORCID 0000-0003-3777-2269
Andrew J HelmstetterJodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, UK, TW9 3AB.ORCID 0000-0003-3761-4981
Dion DeveyJodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, UK, TW9 3AB.
Tim WilkinsonJodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, UK, TW9 3AB.
Alexander S T PapadopulosJodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, UK, TW9 3AB. a.papadopulos@kew.org.ORCID 0000-0001-6589-754X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in DNA sequencing and informatics have revolutionised biology over the past four decades, but technological limitations have left many applications unexplored. Recently, portable, real-time, nanopore sequencing (RTnS) has become available. This offers opportunities to rapidly collect and analyse genomic data anywhere. However, generation of datasets from large, complex genomes has been constrained to laboratories. The portability and long DNA sequences of RTnS offer great potential for field-based species identification, but the feasibility and accuracy of these technologies for this purpose have not been assessed. Here, we show that a field-based RTnS analysis of closely-related plant species (Arabidopsis spp.) has many advantages over laboratory-based high-throughput sequencing (HTS) methods for species level identification and phylogenomics. Samples were collected and sequenced in a single day by RTnS using a portable, "al fresco" laboratory. Our analyses demonstrate that correctly identifying unknown reads from matches to a reference database with RTnS reads enables rapid and confident species identification. Individually annotated RTnS reads can be used to infer the evolutionary relationships of A. thaliana. Furthermore, hybrid genome assembly with RTnS and HTS reads substantially improved upon a genome assembled from HTS reads alone. Field-based RTnS makes real-time, rapid specimen identification and genome wide analyses possible.

Indexed as

Genome, PlantNanoporesArabidopsisArabidopsis ProteinsComputational BiologyDNA, PlantHigh-Throughput Nucleotide SequencingSequence Analysis, DNAArabidopsis ProteinsDNA, Plant

Identifiers

PMID28827531
PMCPMC5566789

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Registered trials

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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.