Evidence map›Paper›PMID 25727413›Full record

ArticleMolecular plant pathology2015

Effector discovery in the fungal wheat pathogen Zymoseptoria tritici.

Amir Mirzadi Gohari, Sarah B Ware, Alexander H J Wittenberg, Rahim Mehrabi, Sarrah Ben M'Barek, Els C P Verstappen, Theo A J van der Lee, Olivier Robert, Henk J Schouten, Pierre P J G M de Wit and 1 more

Abstract read
In one paragraph

Article in Molecular plant pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  15. Characterization of ThreeFrontiers in plant science · 2020
    Article
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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

11 authors.

Amir Mirzadi GohariWageningen University and Research Centre, Plant Research International, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
Sarah B WareWageningen University and Research Centre, Plant Research International, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
Alexander H J WittenbergLaboratory of Plant Breeding, Department of Plant Sciences, Wageningen University and Research Centre, Wageningen, the Netherlands.
Rahim MehrabiCereal Research Department, Seed and Plant Improvement Institute, PO Box 31585-4119, Karaj, Iran.
Sarrah Ben M'BarekWageningen University and Research Centre, Plant Research International, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
Els C P VerstappenWageningen University and Research Centre, Plant Research International, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
Theo A J van der LeeWageningen University and Research Centre, Plant Research International, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.
Olivier RobertBioplante, Florimond Desprez, BP41, 59242, Cappelle-en-Pévèle, France.
Henk J SchoutenLaboratory of Plant Breeding, Department of Plant Sciences, Wageningen University and Research Centre, Wageningen, the Netherlands.
Pierre P J G M de WitWageningen University and Research Centre, Laboratory of Phytopathology, P.O. Box 16, 6700, AA, Wageningen, The Netherlands.
Gert H J KemaWageningen University and Research Centre, Plant Research International, Droevendaalsesteeg 1, 6708, PB, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal plant pathogens, such as Zymoseptoria tritici (formerly known as Mycosphaerella graminicola), secrete repertoires of effectors to facilitate infection or trigger host defence mechanisms. The discovery and functional characterization of effectors provides valuable knowledge that can contribute to the design of new and effective disease management strategies. Here, we combined bioinformatics approaches with expression profiling during pathogenesis to identify candidate effectors of Z. tritici. In addition, a genetic approach was conducted to map quantitative trait loci (QTLs) carrying putative effectors, enabling the validation of both complementary strategies for effector discovery. In planta expression profiling revealed that candidate effectors were up-regulated in successive waves corresponding to consecutive stages of pathogenesis, contrary to candidates identified by QTL mapping that were, overall, expressed at low levels. Functional analyses of two top candidate effectors (SSP15 and SSP18) showed their dispensability for Z. tritici pathogenesis. These analyses reveal that generally adopted criteria, such as protein size, cysteine residues and expression during pathogenesis, may preclude an unbiased effector discovery. Indeed, genetic mapping of genomic regions involved in specificity render alternative effector candidates that do not match the aforementioned criteria, but should nevertheless be considered as promising new leads for effectors that are crucial for the Z. tritici-wheat pathosystem.

Indexed as

AscomycotaFungal ProteinsGene Expression ProfilingGenes, FungalQuantitative Trait LociTriticumVirulence FactorsFungal ProteinsVirulence Factorsbioinformaticseffectorsknock-outQTL mappingseptoria tritici blotchwheatZymoseptoria tritici

Identifiers

PMID25727413
PMCPMC6638447

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.