Evidence map›Paper›PMID 24330140›Full record

ArticleMolecular plant pathology2014

NEMATIC: a simple and versatile tool for the in silico analysis of plant-nematode interactions.

Javier Cabrera, Regla Bustos, Bruno Favery, Carmen Fenoll, Carolina Escobar

Abstract read
In one paragraph

Article in Molecular plant pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Profiling the Proteome of Cyst Nematode-Induced Syncytia on Tomato Roots.International journal of molecular sciences · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Role of Programmed Cell Death RegulatorFrontiers in plant science · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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.

Javier CabreraFacultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, Avenida de Carlos III s/n, 45071, Toledo, Spain.
Regla Bustos
Bruno Favery
Carmen Fenoll
Carolina Escobar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel approaches for the control of agriculturally damaging nematodes are sorely needed. Endoparasitic nematodes complete their life cycle within the root vascular cylinder, inducing specialized feeding cells: giant cells for root-knot nematodes and syncytia for cyst nematodes. Both nematodes hijack parts of the transduction cascades involved in developmental processes, or partially mimic the plant responses to other interactions with microorganisms, but molecular evidence of their differences and commonalities is still under investigation. Transcriptomics has been used to describe global expression profiles of their interaction with Arabidopsis, generating vast lists of differentially expressed genes. Although these results are available in public databases and publications, the information is scattered and difficult to handle. Here, we present a rapid, visual, user-friendly and easy to handle spreadsheet tool, called NEMATIC (NEMatode-Arabidopsis Transcriptomic Interaction Compendium; http://www.uclm.es/grupo/gbbmp/english/nematic.asp). It combines existing transcriptomic data for the interaction between Arabidopsis and plant-endoparasitic nematodes with data from different transcriptomic analyses regarding hormone and cell cycle regulation, development, different plant tissues, cell types and various biotic stresses. NEMATIC facilitates efficient in silico studies on plant-nematode biology, allowing rapid cross-comparisons with complex datasets and obtaining customized gene selections through sequential comparative and filtering steps. It includes gene functional classification and links to utilities from several databases. This data-mining spreadsheet will be valuable for the understanding of the molecular bases subjacent to feeding site formation by comparison with other plant systems, and for the selection of genes as potential tools for biotechnological control of nematodes, as demonstrated in the experimentally confirmed examples provided.

Indexed as

Host-Pathogen InteractionsSoftwareAnimalsArabidopsisComputer SimulationGene Expression ProfilingGenes, PlantHigh-Throughput Screening AssaysIndoleacetic AcidsNematodaPlant DiseasesPlant ProteinsTranscription FactorsTylenchoideaIndoleacetic AcidsPlant ProteinsTranscription Factorsfunctional classificationgallsgiant cellsin silico analysisplant-nematode interactionssyncytiatranscriptome comparison

Identifiers

PMID24330140
PMCPMC6638708

What OpenQuestion holds

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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.