Evidence map›Paper›PMID 35239739›Full record

ArticlePLoS pathogens2022

Multiple knockout mutants reveal a high redundancy of phytotoxic compounds contributing to necrotrophic pathogenesis of Botrytis cinerea.

Thomas Leisen, Janina Werner, Patrick Pattar, Nassim Safari, Edita Ymeri, Frederik Sommer, Michael Schroda, Ivonne Suárez, Isidro G Collado, David Scheuring and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
21.0field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 107 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Thomas LeisenDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0003-0552-0323
Janina WernerDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0002-6421-4783
Patrick PattarDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
Nassim SafariDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
Edita YmeriDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.
Frederik SommerDepartment of Biology, Molecular Biotechnology & Systems Biology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0003-0247-4907
Michael SchrodaDepartment of Biology, Molecular Biotechnology & Systems Biology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0001-6872-0483
Ivonne SuárezDepartamento de Biomedicina, Biotecnología y Salud Pública, Laboratorio de Microbiología, Facultad de Ciencias del Mar y Ambientales, Universidad de Cádiz, Puerto Real, Cádiz, Spain.
Isidro G ColladoDepartamento de Química Orgánica, Facultad de Ciencias, Universidad de Cádiz, Puerto Real, Cádiz, Spain.
David ScheuringDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0001-9048-3330
Matthias HahnDepartment of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0002-5213-9034
University of Kaiserslautern · DEUniversidad de Cádiz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Botrytis cinerea is a major plant pathogen infecting more than 1400 plant species. During invasion, the fungus rapidly kills host cells, which is believed to be supported by induction of programmed plant cell death. To comprehensively evaluate the contributions of most of the currently known plant cell death inducing proteins (CDIPs) and metabolites for necrotrophic infection, an optimized CRISPR/Cas9 protocol was established which allowed to perform serial marker-free mutagenesis to generate multiple deletion mutants lacking up to 12 CDIPs. Whole genome sequencing of a 6x and 12x deletion mutant revealed a low number of off-target mutations which were unrelated to Cas9-mediated cleavage. Secretome analyses confirmed the loss of secreted proteins encoded by the deleted genes. Infection tests with the mutants revealed a successive decrease in virulence with increasing numbers of mutated genes, and varying effects of the knockouts on different host plants. Comparative analysis of mutants confirmed significant roles of two polygalacturonases (PG1, PG2) and the phytotoxic metabolites botrydial and botcinins for infection, but revealed no or only weak effects of deletion of the other CDIPs. Nicotiana benthamiana plants with mutated or silenced coreceptors of pattern recognition receptors, SOBIR1 and BAK1, showed similar susceptibility as control plants to infection by B. cinerea wild type and a 12x deletion mutant. These results raise doubts about a major role of manipulation of these plant defence regulators for B. cinerea infection. Despite the loss of most of the known phytotoxic compounds, the on planta secretomes of the multiple mutants retained substantial phytotoxic activity, proving that further, as yet unknown CDIPs contribute to necrosis and virulence. Our study has addressed for the first time systematically the functional redundancy of fungal virulence factors, and demonstrates that B. cinerea releases a highly redundant cocktail of proteins to achieve necrotrophic infection of a wide variety of host plants.

Indexed as

BotrytisNicotianaPlant DiseasesPlantsVirulence

Identifiers

PMID35239739
PMCPMC8923502
OpenAlexW4214858427

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.