2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The velvet protein Vel1 controls initial plant root colonization and conidia formation for xylem distribution in Verticillium wilt

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The conserved fungal velvet family regulatory proteins link development and secondary metabolite production. The velvet domain for DNA binding and dimerization is similar to the structure of the Rel homology domain of the mammalian NF-κB transcription factor. A comprehensive study addressed the functions of all four homologs of velvet domain encoding genes in the fungal life cycle of the soil-borne plant pathogenic fungus Verticillium dahliae. Genetic, cell biological, proteomic and metabolomic analyses of Vel1, Vel2, Vel3 and Vos1 were combined with plant pathogenicity experiments. Different phases of fungal growth, development and pathogenicity require V. dahliae velvet proteins, including Vel1-Vel2, Vel2-Vos1 and Vel3-Vos1 heterodimers, which are already present during vegetative hyphal growth. The major novel finding of this study is that Vel1 is necessary for initial plant root colonization and together with Vel3 for propagation in planta by conidiation. Vel1 is needed for disease symptom induction in tomato. Vel1, Vel2, and Vel3 control the formation of microsclerotia in senescent plants. Vel1 is the most important among all four V. dahliae velvet proteins with a wide variety of functions during all phases of the fungal life cycle in as well as ex planta.

          Author summary

          Verticillium wilt is a destructive disease of many economic important crop plants induced by fungal plant pathogenic Verticillium spp. such as V. dahliae. Developmental processes and the production of secondary metabolites are coordinated by fungal velvet domain proteins. The four V. dahliae velvet domain proteins form the heterodimers Vel1-Vel2, Vel2-Vos1 and Vel3-Vos1 during vegetative growth. Vel1, Vel2 and Vel3 coordinate the formation of the microsclerotia resting structures and the production of the metabolite melanin, which is deposited in microsclerotia. The survival of these resting structures in the soil is essential for Verticillium spp. during the monocyclic disease. Microsclerotia germinate in the presence of a suitable host, the resulting hyphae grow to and colonize the root. We discovered that this important process of initial colonization requires the presence of Vel1. Once inside the plant, the fungus distributes in the vascular system by conidia formation, which depends on Vel1 and Vel3. Vel1 is a promising target to control the fungal disease, because it is required for the induction of disease symptoms.

          Related collections

          Most cited references88

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The PRIDE database and related tools and resources in 2019: improving support for quantification data

          Abstract The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world’s largest data repository of mass spectrometry-based proteomics data, and is one of the founding members of the global ProteomeXchange (PX) consortium. In this manuscript, we summarize the developments in PRIDE resources and related tools since the previous update manuscript was published in Nucleic Acids Research in 2016. In the last 3 years, public data sharing through PRIDE (as part of PX) has definitely become the norm in the field. In parallel, data re-use of public proteomics data has increased enormously, with multiple applications. We first describe the new architecture of PRIDE Archive, the archival component of PRIDE. PRIDE Archive and the related data submission framework have been further developed to support the increase in submitted data volumes and additional data types. A new scalable and fault tolerant storage backend, Application Programming Interface and web interface have been implemented, as a part of an ongoing process. Additionally, we emphasize the improved support for quantitative proteomics data through the mzTab format. At last, we outline key statistics on the current data contents and volume of downloads, and how PRIDE data are starting to be disseminated to added-value resources including Ensembl, UniProt and Expression Atlas.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A Revised Medium for Rapid Growth and Bio Assays with Tobacco Tissue Cultures

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              InterProScan 5: genome-scale protein function classification

              Motivation: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterProScan. Developments include improvements and additions to the outputs of the software and the complete reimplementation of the software framework, resulting in a flexible and stable system that is able to use both multiprocessor machines and/or conventional clusters to achieve scalable distributed data analysis. InterProScan is freely available for download from the EMBl-EBI FTP site and the open source code is hosted at Google Code. Availability and implementation: InterProScan is distributed via FTP at ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/5/ and the source code is available from http://code.google.com/p/interproscan/. Contact: http://www.ebi.ac.uk/support or interhelp@ebi.ac.uk or mitchell@ebi.ac.uk
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                15 March 2021
                March 2021
                : 17
                : 3
                : e1009434
                Affiliations
                [001]Department of Molecular Microbiology and Genetics, Institute of Microbiology and Genetics, University of Göttingen and Göttingen Center for Molecular Biosciences (GZMB), Göttingen, Germany
                Oregon State University, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                [¤a]

                Current address: Biology Department, Maynooth University, Maynooth, Co. Kildare, Ireland

                [¤b]

                Current address: Department of Microbiology, Faculty of Biology, VNU University of Science, Hanoi, Vietnam

                Author information
                https://orcid.org/0000-0002-0283-5322
                https://orcid.org/0000-0003-3916-2624
                https://orcid.org/0000-0002-3117-5626
                Article
                PGENETICS-D-20-01711
                10.1371/journal.pgen.1009434
                7993770
                33720931
                0c764823-5c19-4cda-bb6c-9bf0c89e984c
                © 2021 Höfer 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
                : 11 November 2020
                : 18 February 2021
                Page count
                Figures: 8, Tables: 2, Pages: 35
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: BR1502-15-1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: INST 186/1287-1 FUGG
                Funded by: Göttingen Graduate Center of Neurosciences, Biophysics, and Molecular Biosciences
                Award ID: IRTG2172 “PRoTECT”
                Award Recipient :
                Funded by: University of Göttingen
                Award ID: INST 186/1230-1 FUGG
                This work was funded by the Deutsche Forschungsgemeinschaft (DFG BR1502-15-1 to GHB). LCMS for metabolite analysis was funded by the Deutsche Forschungsgemeinschaft (INST 186/1287-1 FUGG). JS was funded by the IRTG 2172 “PRoTECT” program of the Göttingen Graduate Center of Neurosciences, Biophysics, and Molecular Biosciences. The authors thank the Service Unit LCMS Protein Analytics of the Göttingen Center for Molecular Biosciences (GZMB) at the University of Göttingen (Grant DFG-GZ: INST 186/1230-1 FUGG) for LC/MS analysis. 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 Pathology
                Plant Pathogens
                Plant Fungal Pathogens
                Biology and Life Sciences
                Mycology
                Fungal Structure
                Biology and Life Sciences
                Organisms
                Eukaryota
                Fungi
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Metabolites
                Secondary Metabolites
                Biology and Life Sciences
                Mycology
                Fungal Reproduction
                Fungal Spores
                Biology and Life Sciences
                Genetics
                Fungal Genetics
                Biology and Life Sciences
                Mycology
                Fungal Genetics
                Biology and Life Sciences
                Organisms
                Eukaryota
                Fungi
                Fungal Molds
                Aspergillus
                Aspergillus Nidulans
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Yeast and Fungal Models
                Aspergillus Nidulans
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Domains
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-03-25
                The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD021861. https://www.ebi.ac.uk/pride/archive?keyword=PXD021861&sortDirection=DESC&page=0&pageSize=20 Other relevant data are within the manuscript and its Supporting Information files.

                Genetics
                Genetics

                Comments

                Comment on this article