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

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          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.

          Author summary

          Botrytis cinerea is one of the economically most important plant pathogens worldwide, causing pre- and postharvest rot on numerous fruit and vegetable crops. The molecular basis for its ability to invade and kill such a wide range of host plants is poorly understood. The fungus secretes numerous phytotoxic proteins and metabolites into the infected tissue, but their roles for infection have not yet been clarified. By using an optimized transformation protocol based on the powerful CRISPR/Cas technology, we have been able to eliminate most of the currently known phytotoxic compounds in individual B. cinerea strains. The mutants, containing up to 12 gene knockouts, showed normal growth and differentiation in vitro, but significantly delayed infection and reduced lesion formation on different plant tissues. Nevertheless, these mutants remained virulent and still induced plant necrosis, which indicated that a much larger number than the currently known phytotoxic proteins are required for infection and host cell killing. Our work has addressed for the first time the functional complexity of fungal virulence factors, and has prepared the route towards a comprehensive understanding of the necrotrophic lifestyle of B. cinerea

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          Most cited references66

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.

              We describe a new computer program, SnpEff, for rapidly categorizing the effects of variants in genome sequences. Once a genome is sequenced, SnpEff annotates variants based on their genomic locations and predicts coding effects. Annotated genomic locations include intronic, untranslated region, upstream, downstream, splice site, or intergenic regions. Coding effects such as synonymous or non-synonymous amino acid replacement, start codon gains or losses, stop codon gains or losses, or frame shifts can be predicted. Here the use of SnpEff is illustrated by annotating ~356,660 candidate SNPs in ~117 Mb unique sequences, representing a substitution rate of ~1/305 nucleotides, between the Drosophila melanogaster w(1118); iso-2; iso-3 strain and the reference y(1); cn(1) bw(1) sp(1) strain. We show that ~15,842 SNPs are synonymous and ~4,467 SNPs are non-synonymous (N/S ~0.28). The remaining SNPs are in other categories, such as stop codon gains (38 SNPs), stop codon losses (8 SNPs), and start codon gains (297 SNPs) in the 5'UTR. We found, as expected, that the SNP frequency is proportional to the recombination frequency (i.e., highest in the middle of chromosome arms). We also found that start-gain or stop-lost SNPs in Drosophila melanogaster often result in additions of N-terminal or C-terminal amino acids that are conserved in other Drosophila species. It appears that the 5' and 3' UTRs are reservoirs for genetic variations that changes the termini of proteins during evolution of the Drosophila genus. As genome sequencing is becoming inexpensive and routine, SnpEff enables rapid analyses of whole-genome sequencing data to be performed by an individual laboratory.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Formal analysisRole: InvestigationRole: Methodology
                Role: Formal analysisRole: Investigation
                Role: InvestigationRole: Methodology
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Validation
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: Visualization
                Role: InvestigationRole: MethodologyRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                PLoS Pathogens
                Public Library of Science (San Francisco, CA USA )
                1553-7366
                1553-7374
                3 March 2022
                March 2022
                : 18
                : 3
                : e1010367
                Affiliations
                [1 ] Department of Biology, Phytopathology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany
                [2 ] Department of Biology, Molecular Biotechnology & Systems Biology group, Technische Universität Kaiserslautern, Kaiserslautern, Germany
                [3 ] Departamento de Biomedicina, Biotecnología y Salud Pública, Laboratorio de Microbiología, Facultad de Ciencias del Mar y Ambientales, Universidad de Cádiz, Puerto Real, Cádiz, Spain
                [4 ] Departamento de Química Orgánica, Facultad de Ciencias, Universidad de Cádiz, Puerto Real, Cádiz, Spain
                Nanjing Agricultural University, CHINA
                Author notes

                The authors have declared that no competing interests exist.

                [¤]

                Current address: Botanical Institute and Cluster of Excellence on Plant Sciences (CEPLAS), BioCenter, University of Cologne, Köln, Germany

                Author information
                https://orcid.org/0000-0003-0552-0323
                https://orcid.org/0000-0002-6421-4783
                https://orcid.org/0000-0003-0247-4907
                https://orcid.org/0000-0001-6872-0483
                https://orcid.org/0000-0001-9048-3330
                https://orcid.org/0000-0002-5213-9034
                Article
                PPATHOGENS-D-21-01734
                10.1371/journal.ppat.1010367
                8923502
                35239739
                43514a35-b47e-46bc-860e-c2ea72573225
                © 2022 Leisen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 August 2021
                : 12 February 2022
                Page count
                Figures: 7, Tables: 2, Pages: 28
                Funding
                Funded by: BioComp Research Initiative of Rhineland-Palatinate, Germany
                Award Recipient :
                Funded by: MINECO-ERDF, Spain
                Award ID: RTI2018-097356-B-C21
                Award Recipient :
                This work was supported by the BioComp 3.0 Research Initiative funded by the Ministry of Science, Education and Culture (MWWK) of Rhineland-Palatinate, Germany (to M.H. and D.S.), and by grant RTI2018-097356-B-C21 from MINECO-ERDF, Spain (to I.S.. and I.G.C.) The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Leaves
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Flowering Plants
                Nicotiana
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Necrosis
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Pathogens
                Plant Fungal Pathogens
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Fruits
                Tomatoes
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Virulence Factors
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Cell Death
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Fruits
                Custom metadata
                vor-update-to-uncorrected-proof
                2022-03-15
                All relevant data are within the manuscript and its Supporting Information files.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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