Evidence map›Paper›PMID 28747151›Full record

ArticleBMC genomics2017

Comparative analysis of targeted long read sequencing approaches for characterization of a plant's immune receptor repertoire.

Michael Giolai, Pirita Paajanen, Walter Verweij, Kamil Witek, Jonathan D G Jones, Matthew D Clark

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  8. Review
  9. Review
  10. Article
  11. BLAST-QC: automated analysis of BLAST results.Environmental microbiome · 2020
    Article
  12. Variation Patterns of NLR Clusters inPlant communications · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Population Genomic Approaches for Weed Science.Plants (Basel, Switzerland) · 2019
    Review
  19. Article
  20. 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

6 authors.

Michael GiolaiEarlham Institute (EI), Norwich Research Park, Norwich, NR4 7UZ, UK.
Pirita PaajanenEarlham Institute (EI), Norwich Research Park, Norwich, NR4 7UZ, UK.
Walter VerweijEarlham Institute (EI), Norwich Research Park, Norwich, NR4 7UZ, UK.
Kamil WitekThe Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK.
Jonathan D G JonesThe Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK.
Matthew D ClarkEarlham Institute (EI), Norwich Research Park, Norwich, NR4 7UZ, UK. matt.clark@earlham.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/H019820/1Biotechnology and Biological Sciences Research Council BB/J004669/1Biotechnology and Biological Sciences Research Council BB/J010375/1Biotechnology and Biological Sciences Research Council BB/L009293/1Biotechnology and Biological Sciences Research Council BB/L009757/1Biotechnology and Biological Sciences Research Council BB/P021646/1
6 · The paper itself

Abstract

backgroundThe Oxford Nanopore Technologies MinION™ sequencer is a small, portable, low cost device that is accessible to labs of all sizes and attractive for in-the-field sequencing experiments. Selective breeding of crops has led to a reduction in genetic diversity, and wild relatives are a key source of new genetic resistance to pathogens, usually via NLR immune receptor-encoding genes. Recent studies have demonstrated how crop NLR repertoires can be targeted for sequencing on Illumina or PacBio (RenSeq) and the specific gene conveying pathogen resistance identified.

resultsSequence yields per MinION run are lower than Illumina, making targeted resequencing an efficient approach. While MinION generates long reads similar to PacBio it doesn't generate the highly accurate multipass consensus reads, which presents downstream bioinformatics challenges. Here we demonstrate how MinION data can be used for RenSeq achieving similar results to the PacBio and how novel NLR gene fusions can be identified via a Nanopore RenSeq pipeline.

conclusionThe described library preparation and bioinformatics methods should be applicable to other gene families or any targeted long DNA fragment nanopore sequencing project.

Indexed as

Genes, PlantPlantsRepetitive Sequences, Nucleic AcidSequence AnalysisGene enrichmentMinIONNLRNLR gene fusionsOxford Nanopore technologiesPacBioRenSeqResistance geneResistance proteinR-geneTargeted capture

Identifiers

PMID28747151
PMCPMC5530509

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.