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      A malectin‐like receptor kinase regulates cell death and pattern‐triggered immunity in soybean

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          Abstract

          Plant cells can sense conserved molecular patterns through pattern recognition receptors ( PRRs) and initiate pattern‐triggered immunity ( PTI). Details of the PTI signaling network are starting to be uncovered in Arabidopsis, but are still poorly understood in other species, including soybean ( Glycine max). In this study, we perform a forward genetic screen for autoimmunity‐related lesion mimic mutants ( lmms) in soybean and identify two allelic mutants, which carry mutations in Glyma.13G054400, encoding a malectin‐like receptor kinase ( RK). The mutants exhibit enhanced resistance to both bacterial and oomycete pathogens, as well as elevated ROS production upon treatment with the bacterial pattern flg22. Overexpression of Gm LMM1 gene in Nicotiana benthamiana severely suppresses flg22‐triggered ROS production and oomycete pattern XEG1‐induced cell death. We further show that Gm LMM1 interacts with the flg22 receptor FLS2 and its co‐receptor BAK1 to negatively regulate flg22‐induced complex formation between them. Our study identifies an important component in PTI regulation and reveals that Gm LMM1 acts as a molecular switch to control an appropriate immune activation, which may also be adapted to other PRR‐mediated immune signaling in soybean.

          Abstract

          Plants can sense conserved molecular patterns through pattern‐recognition receptors and initiate pattern‐triggered immunity. The soybean malectin‐like receptor kinase Gm LMM1 interacts with these PRR complexes to negatively regulate PTI responses.

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          Most cited references57

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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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              Genome sequence of the palaeopolyploid soybean.

              Soybean (Glycine max) is one of the most important crop plants for seed protein and oil content, and for its capacity to fix atmospheric nitrogen through symbioses with soil-borne microorganisms. We sequenced the 1.1-gigabase genome by a whole-genome shotgun approach and integrated it with physical and high-density genetic maps to create a chromosome-scale draft sequence assembly. We predict 46,430 protein-coding genes, 70% more than Arabidopsis and similar to the poplar genome which, like soybean, is an ancient polyploid (palaeopolyploid). About 78% of the predicted genes occur in chromosome ends, which comprise less than one-half of the genome but account for nearly all of the genetic recombination. Genome duplications occurred at approximately 59 and 13 million years ago, resulting in a highly duplicated genome with nearly 75% of the genes present in multiple copies. The two duplication events were followed by gene diversification and loss, and numerous chromosome rearrangements. An accurate soybean genome sequence will facilitate the identification of the genetic basis of many soybean traits, and accelerate the creation of improved soybean varieties.
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                Author and article information

                Contributors
                fengxianzhong@iga.ac.cn
                ddou@cau.edu.cn
                Journal
                EMBO Rep
                EMBO Rep
                10.1002/(ISSN)1469-3178
                EMBR
                embor
                EMBO Reports
                John Wiley and Sons Inc. (Hoboken )
                1469-221X
                1469-3178
                14 September 2020
                05 November 2020
                14 September 2020
                : 21
                : 11 ( doiID: 10.1002/embr.v21.11 )
                : e50442
                Affiliations
                [ 1 ] Key Laboratory of Soybean Molecular Design Breeding Northeast Institute of Geography and Agroecology The Innovative Academy of Seed Design Chinese Academy of Sciences Changchun China
                [ 2 ] University of Chinese Academy of Sciences Beijing China
                [ 3 ] Key Laboratory of Pest Monitoring and Green Management MOA and College of Plant Protection China Agricultural University Beijing China
                [ 4 ] College of Plant Protection Nanjing Agricultural University Nanjing China
                Author notes
                [*] [* ] Corresponding author. Tel: +86 0431 85655051; E‐mail: fengxianzhong@ 123456iga.ac.cn

                Corresponding author. Tel: +86 025 84396973; E‐mail: ddou@ 123456cau.edu.cn

                [†]

                These authors contributed equally to this work

                Author information
                https://orcid.org/0000-0002-2044-6929
                https://orcid.org/0000-0002-7129-3731
                https://orcid.org/0000-0001-5226-6642
                Article
                EMBR202050442
                10.15252/embr.202050442
                7645207
                32924279
                2f92e6ab-2c55-4cbe-a273-ddf27564bbbf
                © 2020 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 March 2020
                : 02 August 2020
                : 10 August 2020
                Page count
                Figures: 11, Tables: 0, Pages: 16, Words: 12023
                Funding
                Funded by: MOST|National Key Research and Development Program of China
                Award ID: 2016YFD0101900
                Funded by: National Natural Science Foundation of China (NSF)
                Award ID: 31625023
                Categories
                Article
                Articles
                Custom metadata
                2.0
                05 November 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.3 mode:remove_FC converted:06.11.2020

                Molecular biology
                cell death,glycine max,lesion mimic mutant,malectin‐like receptor kinase,pattern‐triggered immunity,immunology,microbiology, virology & host pathogen interaction,signal transduction

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