Evidence map›Paper›PMID 32170798›Full record

ArticleThe Plant journal : for cell and molecular biology2020

Rapid identification of an Arabidopsis NLR gene as a candidate conferring susceptibility to Sclerotinia sclerotiorum using time-resolved automated phenotyping.

Adelin Barbacci, Olivier Navaud, Malick Mbengue, Marielle Barascud, Laurence Godiard, Mehdi Khafif, Aline Lacaze, Sylvain Raffaele

Open access · hybridAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
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  9. Natural expression variation for the ArabidopsisFrontiers in plant science · 2025
    Article
  10. Review
  11. Article
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  14. Article
  15. Article
  16. Article
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  18. Engineering Resistance againstPlants (Basel, Switzerland) · 2022
    Article
  19. Review
  20. Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    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

8 authors at 1 institution in 1 country.

Adelin BarbacciLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.ORCID 0000-0003-3156-272X
Olivier NavaudLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.ORCID 0000-0003-4270-4690
Malick MbengueLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.ORCID 0000-0002-7723-7757
Marielle BarascudLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.ORCID 0000-0002-3753-2188
Laurence GodiardLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.ORCID 0000-0001-5332-092X
Mehdi KhafifLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.
Aline LacazeLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.
Sylvain RaffaeleLaboratoire des Interactions Plantes Micro-organismes (LIPM), Université de Toulouse, INRAE, CNRS, 24 chemin de Borde Rouge - Auzeville CS 52627 F31326, Castanet Tolosan, Cedex, France.ORCID 0000-0002-2442-9632
Centre National de la Recherche Scientifique · FR

Funding

European Research Council 336808
6 · The paper itself

Abstract

The broad host range necrotrophic fungus Sclerotinia sclerotiorum is a devastating pathogen of many oil and vegetable crops. Plant genes conferring complete resistance against S. sclerotiorum have not been reported. Instead, plant populations challenged by S. sclerotiorum exhibit a continuum of partial resistance designated as quantitative disease resistance (QDR). Because of their complex interplay and their small phenotypic effect, the functional characterization of QDR genes remains limited. How broad host range necrotrophic fungi manipulate plant programmed cell death is for instance largely unknown. Here, we designed a time-resolved automated disease phenotyping pipeline enabling high-throughput disease lesion measurement with high resolution, low footprint at low cost. We could accurately recover contrasted disease responses in several pathosystems using this system. We used our phenotyping pipeline to assess the kinetics of disease symptoms caused by seven S. sclerotiorum isolates on six A. thaliana natural accessions with unprecedented resolution. Large effect polymorphisms common to the most resistant A. thaliana accessions identified highly divergent alleles of the nucleotide-binding site leucine-rich repeat gene LAZ5 in the resistant accessions Rubezhnoe and Lip-0. We show that impaired LAZ5 expression in laz5.1 mutant lines and in A. thaliana Rub natural accession correlate with enhanced QDR to S. sclerotiorum. These findings illustrate the value of time-resolved image-based phenotyping for unravelling the genetic bases of complex traits such as QDR. Our results suggest that S. sclerotiorum manipulates plant sphingolipid pathways guarded by LAZ5 to trigger programmed cell death and cause disease.

Indexed as

AscomycotaArabidopsisArabidopsis ProteinsDisease ResistanceGenes, PlantGenetic Association StudiesGenetic Predisposition to DiseaseImage Processing, Computer-AssistedNLR ProteinsPlant DiseasesQuantitative Trait, HeritableArabidopsis ProteinsNLR Proteinsfungal pathogenNBS-LRRplant phenotypingquantitative disease resistanceSclerotinia sclerotiorumtechnical advance

Identifiers

PMID32170798
PMCPMC7497225
OpenAlexW3011497058

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.