Evidence map›Paper›PMID 34851967›Full record

ArticlePloS one2021

Identification of individual root-knot nematodes using low coverage long-read sequencing.

Graham S Sellers, Daniel C Jeffares, Bex Lawson, Tom Prior, David H Lunt

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 at 3 institutions in 1 country.

Graham S SellersDepartment of Biological and Marine Sciences, Energy and Environment Institute, University of Hull, Hull, United Kingdom.
Daniel C JeffaresDepartment of Biology and York Biomedical Research Institute, University of York, York, United Kingdom.ORCID 0000-0001-7320-0706
Bex LawsonFera Science Ltd, Sand Hutton, York, United Kingdom.
Tom PriorFera Science Ltd, Sand Hutton, York, United Kingdom.
David H LuntDepartment of Biological and Marine Sciences, Energy and Environment Institute, University of Hull, Hull, United Kingdom.ORCID 0000-0002-9000-7470
Fera Science (United Kingdom) · GBUniversity of Hull · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root-knot nematodes (RKN; genus Meloidogyne) are polyphagous plant pathogens of great economic importance to agriculturalists globally. These species are small, diverse, and can be challenging for accurate taxonomic identification. Many of the most important crop pests confound analysis with simple genetic marker loci as they are polyploids of likely hybrid origin. Here we take a low-coverage, long-read genome sequencing approach to characterisation of individual root-knot nematodes. We demonstrate library preparation for Oxford Nanopore Technologies Flongle sequencing of low input DNA from individual juveniles and immature females, multiplexing up to twelve samples per flow cell. Taxonomic identification with Kraken 2 (a k-mer-based taxonomic assignment tool) is shown to reliably identify individual nematodes to species level, even within the very closely related Meloidogyne incognita group. Our approach forms a robust, low-cost, and scalable method for accurate RKN species diagnostics.

Indexed as

High-Throughput Nucleotide SequencingTylenchoideaAnimalsDNA, HelminthFemalePlant DiseasesDNA, Helminth

Identifiers

PMID34851967
PMCPMC8635404
OpenAlexW3215460287

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.