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      Plant pathogens convergently evolved to counteract redundant nodes of an NLR immune receptor network

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          Abstract

          In plants, nucleotide-binding domain and leucine-rich repeat (NLR)-containing proteins can form receptor networks to confer hypersensitive cell death and innate immunity. One class of NLRs, known as NLR required for cell death (NRCs), are central nodes in a complex network that protects against multiple pathogens and comprises up to half of the NLRome of solanaceous plants. Given the prevalence of this NLR network, we hypothesised that pathogens convergently evolved to secrete effectors that target NRC activities. To test this, we screened a library of 165 bacterial, oomycete, nematode, and aphid effectors for their capacity to suppress the cell death response triggered by the NRC-dependent disease resistance proteins Prf and Rpi-blb2. Among 5 of the identified suppressors, 1 cyst nematode protein and 1 oomycete protein suppress the activity of autoimmune mutants of NRC2 and NRC3, but not NRC4, indicating that they specifically counteract a subset of NRC proteins independently of their sensor NLR partners. Whereas the cyst nematode effector SPRYSEC15 binds the nucleotide-binding domain of NRC2 and NRC3, the oomycete effector AVRcap1b suppresses the response of these NRCs via the membrane trafficking-associated protein NbTOL9a (Target of Myb 1-like protein 9a). We conclude that plant pathogens have evolved to counteract central nodes of the NRC immune receptor network through different mechanisms. Coevolution with pathogen effectors may have driven NRC diversification into functionally redundant nodes in a massively expanded NLR network.

          Abstract

          Plant pathogens have evolved to counteract their hosts’ immune systems. A screen for pathogen effectors that suppress sensor NLR-mediated cell death in tobacco identifies effectors from a cyst nematode and an oomycete that suppress the NRC branch of the immune network to inhibit the immune-related cell death response.

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          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.
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            The plant immune system.

            Many plant-associated microbes are pathogens that impair plant growth and reproduction. Plants respond to infection using a two-branched innate immune system. The first branch recognizes and responds to molecules common to many classes of microbes, including non-pathogens. The second responds to pathogen virulence factors, either directly or through their effects on host targets. These plant immune systems, and the pathogen molecules to which they respond, provide extraordinary insights into molecular recognition, cell biology and evolution across biological kingdoms. A detailed understanding of plant immune function will underpin crop improvement for food, fibre and biofuels production.
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              The EMBL-EBI search and sequence analysis tools APIs in 2019

              Abstract The EMBL-EBI provides free access to popular bioinformatics sequence analysis applications as well as to a full-featured text search engine with powerful cross-referencing and data retrieval capabilities. Access to these services is provided via user-friendly web interfaces and via established RESTful and SOAP Web Services APIs (https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/EMBL-EBI+Web+Services+APIs+-+Data+Retrieval). Both systems have been developed with the same core principles that allow them to integrate an ever-increasing volume of biological data, making them an integral part of many popular data resources provided at the EMBL-EBI. Here, we describe the latest improvements made to the frameworks which enhance the interconnectivity between public EMBL-EBI resources and ultimately enhance biological data discoverability, accessibility, interoperability and reusability.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: ResourcesRole: Validation
                Role: Funding acquisitionRole: InvestigationRole: Resources
                Role: Investigation
                Role: Formal analysisRole: MethodologyRole: ResourcesRole: Visualization
                Role: Resources
                Role: ResourcesRole: Validation
                Role: Formal analysis
                Role: Resources
                Role: Resources
                Role: Resources
                Role: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Supervision
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                23 August 2021
                August 2021
                23 August 2021
                : 19
                : 8
                : e3001136
                Affiliations
                [1 ] The Sainsbury Laboratory, University of East Anglia, Norwich, United Kingdom
                [2 ] Department of Biology, Swiss Federal Institute of Technology (ETH), Zürich, Switzerland
                [3 ] Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai, Jiao Tong University, Shanghai, China
                [4 ] Department of Crop Genetics, John Innes Centre, Norwich, United Kingdom
                [5 ] Department of Plant Pathology and Microbiology, University of California, Riverside, California, United States of America
                [6 ] Laboratory of Nematology, Wageningen University and Research, Wageningen, the Netherlands
                [7 ] Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
                Duke University, UNITED STATES
                Author notes

                I have read the journal’s policy and the authors of this manuscript have the following competing interests: S.K. receives funding from industry on NLR biology.

                [¤]

                Current address: Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Japan

                Author information
                https://orcid.org/0000-0001-7983-4187
                https://orcid.org/0000-0001-6002-0730
                https://orcid.org/0000-0002-7184-744X
                https://orcid.org/0000-0003-2896-6942
                https://orcid.org/0000-0003-0222-203X
                https://orcid.org/0000-0003-1773-9090
                https://orcid.org/0000-0003-1858-2574
                https://orcid.org/0000-0003-2490-4824
                https://orcid.org/0000-0002-8537-5578
                https://orcid.org/0000-0003-1032-0887
                https://orcid.org/0000-0001-5569-639X
                https://orcid.org/0000-0003-1371-5606
                https://orcid.org/0000-0002-7399-8743
                https://orcid.org/0000-0002-6189-5560
                https://orcid.org/0000-0003-1616-1872
                https://orcid.org/0000-0002-0290-0315
                Article
                PBIOLOGY-D-21-00375
                10.1371/journal.pbio.3001136
                8412950
                34424903
                71d66848-a9dd-4686-aa72-8d3638c4637e
                © 2021 Derevnina 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
                : 8 February 2021
                : 27 July 2021
                Page count
                Figures: 14, Tables: 0, Pages: 42
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000324, Gatsby Charitable Foundation;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000268, Biotechnology and Biological Sciences Research Council;
                Award ID: BB/P012574
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000268, Biotechnology and Biological Sciences Research Council;
                Award ID: BB/V002937/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: BLASTOFF
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: NGRB
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: BoostR
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award Recipient :
                This work was funded by the Gatsby Charitable Foundation (Core grant to TSL) and Biotechnology and Biological Sciences Research Council (BBSRC, UK) BB/P012574 and BB/V002937/1. S.K. also receives funding from the European Research Council (ERC NGRB and BLASTOFF projects). L.D. was funded by a Marie Sklodowska-Curie actions fellowship (BoostR), H.A. was funded by the Japan Society for the Promotion of Sciences Postdoctoral fellowship, A.V.C. was funded by a British Society for Plant Pathology summer bursary, J.U. was funded by the Gatsby Charitable Foundation PhD studentship. 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
                Cell Biology
                Cell Processes
                Cell Death
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Leaves
                Biology and Life Sciences
                Immunology
                Immune Suppression
                Medicine and Health Sciences
                Immunology
                Immune Suppression
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Immune Suppression
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Cell Signaling
                Membrane Receptor Signaling
                Immune Receptor Signaling
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Domains
                Research and Analysis Methods
                Precipitation Techniques
                Immunoprecipitation
                Co-Immunoprecipitation
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Cloning
                Research and Analysis Methods
                Molecular Biology Techniques
                Cloning
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Pathogens
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-09-02
                All relevant data are within the paper and its Supporting Information files. The MS proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD023178 and 10.6019/PXD023178.

                Life sciences
                Life sciences

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