Evidence map›Paper›PMID 33369055›Full record

ArticleMolecular plant pathology2021

Identification and characterization of Cercospora beticola necrosis-inducing effector CbNip1.

Malaika K Ebert, Lorena I Rangel, Rebecca E Spanner, Demetris Taliadoros, Xiaoyun Wang, Timothy L Friesen, Ronnie de Jonge, Jonathan D Neubauer, Gary A Secor, Bart P H J Thomma and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular plant pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  7. Cercospora leaf spot disease of sugar beet.Plant signaling & behavior · 2023
    Review
  8. Article
  9. 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

12 authors at 5 institutions in 4 countries.

Malaika K EbertEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.ORCID 0000-0002-1891-6063
Lorena I RangelEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.ORCID 0000-0002-9081-5275
Rebecca E SpannerEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.ORCID 0000-0002-4735-9649
Demetris TaliadorosEnvironmental Genomics Group, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Xiaoyun WangEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.
Timothy L FriesenEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.ORCID 0000-0001-5634-2200
Ronnie de JongePlant-Microbe Interactions, Department of Biology, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-5065-8538
Jonathan D NeubauerEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.
Gary A SecorDepartment of Plant Pathology, North Dakota State University, Fargo, North Dakota, USA.ORCID 0000-0002-9908-7075
Bart P H J ThommaLaboratory of Phytopathology, Wageningen University, Wageningen, Netherlands.ORCID 0000-0003-4125-4181
Eva H StukenbrockEnvironmental Genomics Group, Max Planck Institute for Evolutionary Biology, Plön, Germany.ORCID 0000-0001-8590-3345
Melvin D BoltonEdward T. Schafer Agricultural Research Center, USDA Agricultural Research Service, Fargo, North Dakota, USA.ORCID 0000-0003-1197-2078
Agricultural Research Service · USChristian-Albrechts-Universität zu Kiel · DENorth Dakota State University · USUniversity of Cologne · DEUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cercospora beticola is a hemibiotrophic fungus that causes cercospora leaf spot disease of sugar beet (Beta vulgaris). After an initial symptomless biotrophic phase of colonization, necrotic lesions appear on host leaves as the fungus switches to a necrotrophic lifestyle. The phytotoxic secondary metabolite cercosporin has been shown to facilitate fungal virulence for several Cercospora spp. However, because cercosporin production and subsequent cercosporin-initiated formation of reactive oxygen species is light-dependent, cell death evocation by this toxin is only fully ensured during a period of light. Here, we report the discovery of the effector protein CbNip1 secreted by C. beticola that causes enhanced necrosis in the absence of light and, therefore, may complement light-dependent necrosis formation by cercosporin. Infiltration of CbNip1 protein into sugar beet leaves revealed that darkness is essential for full CbNip1-triggered necrosis, as light exposure delayed CbNip1-triggered host cell death. Gene expression analysis during host infection shows that CbNip1 expression is correlated with symptom development in planta. Targeted gene replacement of CbNip1 leads to a significant reduction in virulence, indicating the importance of CbNip1 during colonization. Analysis of 89 C. beticola genomes revealed that CbNip1 resides in a region that recently underwent a selective sweep, suggesting selection pressure exists to maintain a beneficial variant of the gene. Taken together, CbNip1 is a crucial effector during the C. beticola-sugar beet disease process.

Indexed as

Beta vulgarisCercosporaFungal ProteinsGenome, FungalHost-Pathogen InteractionsNecrosisPerylenePhenotypePhylogenyPlant DiseasesPlant LeavesVirulenceVirulence FactorscercosporinFungal ProteinsPeryleneVirulence FactorsCercospora beticolanecrosis-inducing effectorvirulence factor

Identifiers

PMID33369055
PMCPMC7865086
OpenAlexW3113694081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.