Evidence map›Paper›PMID 33245626›Full record

SynthesisMolecular plant pathology2020

EffectorK, a comprehensive resource to mine for Ralstonia, Xanthomonas, and other published effector interactors in the Arabidopsis proteome.

Manuel González-Fuente, Sébastien Carrère, Dario Monachello, Benjamin G Marsella, Anne-Claire Cazalé, Claudine Zischek, Raka M Mitra, Nathalie Rezé, Ludovic Cottret, M Shahid Mukhtar and 3 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular plant pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. SEOR2 in Arabidopsis mediates CaScientific reports · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  19. Protein-Protein Interaction Network Analysis Using NetworkX.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  20. Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023
    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

13 authors at 4 institutions in 2 countries.

Manuel González-FuenteLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.ORCID https://orcid.org/0000-0003-2960-2657
Sébastien CarrèreLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.ORCID https://orcid.org/0000-0002-2348-0778
Dario MonachelloInstitut des Sciences des Plantes de Paris Saclay, UEVE, INRAE, CNRS, Université Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0001-7551-0214
Benjamin G MarsellaDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Anne-Claire CazaléLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.ORCID https://orcid.org/0000-0002-6822-7186
Claudine ZischekLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.
Raka M MitraDepartment of Biology, Carleton College, Northfield, MN, USA.ORCID https://orcid.org/0000-0002-2798-2038
Nathalie RezéInstitut des Sciences des Plantes de Paris Saclay, UEVE, INRAE, CNRS, Université Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France.
Ludovic CottretLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.ORCID https://orcid.org/0000-0001-7418-7750
M Shahid MukhtarDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID https://orcid.org/0000-0002-1104-6931
Claire LurinInstitut des Sciences des Plantes de Paris Saclay, UEVE, INRAE, CNRS, Université Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0003-3516-4438
Laurent D NoëlLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.ORCID https://orcid.org/0000-0002-0110-1423
Nemo PeetersLaboratoire des Interactions Plantes Micro-organismes, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.ORCID https://orcid.org/0000-0002-1802-0769
Centre National de la Recherche Scientifique · FRUniversité Paris-Sud · FRUniversity of Alabama at Birmingham · USCarleton College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogens deploy effector proteins that interact with host proteins to manipulate the host physiology to the pathogen's own benefit. However, effectors can also be recognized by host immune proteins, leading to the activation of defence responses. Effectors are thus essential components in determining the outcome of plant-pathogen interactions. Despite major efforts to decipher effector functions, our current knowledge on effector biology is scattered and often limited. In this study, we conducted two systematic large-scale yeast two-hybrid screenings to detect interactions between Arabidopsis thaliana proteins and effectors from two vascular bacterial pathogens: Ralstonia pseudosolanacearum and Xanthomonas campestris. We then constructed an interactomic network focused on Arabidopsis and effector proteins from a wide variety of bacterial, oomycete, fungal, and invertebrate pathogens. This network contains our experimental data and protein-protein interactions from 2,035 peer-reviewed publications (48,200 Arabidopsis-Arabidopsis and 1,300 Arabidopsis-effector protein interactions). Our results show that effectors from different species interact with both common and specific Arabidopsis interactors, suggesting dual roles as modulators of generic and adaptive host processes. Network analyses revealed that effector interactors, particularly "effector hubs" and bacterial core effector interactors, occupy important positions for network organization, as shown by their larger number of protein interactions and centrality. These interactomic data were incorporated in EffectorK, a new graph-oriented knowledge database that allows users to navigate the network, search for homology, or find possible paths between host and/or effector proteins. EffectorK is available at www.effectork.org and allows users to submit their own interactomic data.

Indexed as

ArabidopsisDatabases, ChemicalDisease ResistanceProtein Interaction MapsArabidopsis ProteinsBacterial ProteinsHost-Pathogen InteractionsPlant DiseasesProteomeRalstoniaSoftwareVirulence FactorsXanthomonasXanthomonas campestrisArabidopsis ProteinsBacterial ProteinsProteomeVirulence FactorsdatabaseeffectorsinteractomicsnetworkRalstoniaXanthomonas

Identifiers

PMID33245626
PMCPMC7488465
OpenAlexW3048988556

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.