Evidence map›Paper›PMID 25520730›Full record

ReviewFrontiers in plant science2014

Improving crop disease resistance: lessons from research on Arabidopsis and tomato.

Sophie J M Piquerez, Sarah E Harvey, Jim L Beynon, Vardis Ntoukakis

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. A critical review on bioaerosols-dispersal of crop pathogenic microorganisms and their impact on crop yield.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Review
  3. Article
  4. LDRGDb - Legumes disease resistance genes database.Frontiers in plant science · 2023
    Article
  5. Developmental genetics with model organisms.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. The Upregulated Expression of the CitrusInternational journal of molecular sciences · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. A molecular roadmap to the plant immune system.The Journal of biological chemistry · 2020
    Review
  14. Heterologous Expression of thePlants (Basel, Switzerland) · 2020
    Article
  15. Advances and Challenges in Bacterial Spot Resistance Breeding in Tomato (International journal of molecular sciences · 2020
    Review
  16. Review
  17. Article
  18. Plant-microbe interactions: tipping the balance.Journal of experimental botany · 2019
    Article
  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

4 authors.

Sophie J M PiquerezSchool of Life Sciences, University of Warwick Coventry, UK.
Sarah E HarveySchool of Life Sciences, University of Warwick Coventry, UK.
Jim L BeynonSchool of Life Sciences, University of Warwick Coventry, UK.
Vardis NtoukakisSchool of Life Sciences, University of Warwick Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the great challenges for food security in the 21st century is to improve yield stability through the development of disease-resistant crops. Crop research is often hindered by the lack of molecular tools, growth logistics, generation time and detailed genetic annotations, hence the power of model plant species. Our knowledge of plant immunity today has been largely shaped by the use of models, specifically through the use of mutants. We examine the importance of Arabidopsis and tomato as models in the study of plant immunity and how they help us in revealing a detailed and deep understanding of the various layers contributing to the immune system. Here we describe examples of how knowledge from models can be transferred to economically important crops resulting in new tools to enable and accelerate classical plant breeding. We will also discuss how models, and specifically transcriptomics and effectoromics approaches, have contributed to the identification of core components of the defense response which will be key to future engineering of durable and sustainable disease resistance in plants.

Indexed as

Arabidopsiscrop engineeringdisease resistancefood securitymodeltomato

Identifiers

PMID25520730
PMCPMC4253662

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.