• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    The arabidopsis cyclic nucleotide interactome

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    art3A10.11862Fs12964-016-0133-2.pdf
    Size:
    2.048Mb
    Format:
    PDF
    Description:
    Main article
    Download
    Thumbnail
    Name:
    12964_2016_133_MOESM1_ESM.pdf
    Size:
    101.0Kb
    Format:
    PDF
    Description:
    Supplemental files
    Download
    Thumbnail
    Name:
    12964_2016_133_MOESM2_ESM.pdf
    Size:
    113.4Kb
    Format:
    PDF
    Description:
    Supplemental files
    Download
    Thumbnail
    Name:
    12964_2016_133_MOESM3_ESM.pdf
    Size:
    114.0Kb
    Format:
    PDF
    Description:
    Supplemental files
    Download
    Thumbnail
    Name:
    12964_2016_133_MOESM4_ESM.pdf
    Size:
    242.2Kb
    Format:
    PDF
    Description:
    Supplemental files
    Download
    Thumbnail
    Name:
    12964_2016_133_MOESM5_ESM.pdf
    Size:
    101.1Kb
    Format:
    PDF
    Description:
    Supplemental files
    Download
    View more filesView fewer files
    Type
    Article
    Authors
    Donaldson, Lara Elizabeth
    Meier, Stuart Kurt
    Gehring, Christoph A cc
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Bioscience Program
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2016-05-11
    Online Publication Date
    2016-05-11
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/609438
    
    Metadata
    Show full item record
    Abstract
    Background Cyclic nucleotides have been shown to play important signaling roles in many physiological processes in plants including photosynthesis and defence. Despite this, little is known about cyclic nucleotide-dependent signaling mechanisms in plants since the downstream target proteins remain unknown. This is largely due to the fact that bioinformatics searches fail to identify plant homologs of protein kinases and phosphodiesterases that are the main targets of cyclic nucleotides in animals. Methods An affinity purification technique was used to identify cyclic nucleotide binding proteins in Arabidopsis thaliana. The identified proteins were subjected to a computational analysis that included a sequence, transcriptional co-expression and functional annotation analysis in order to assess their potential role in plant cyclic nucleotide signaling. Results A total of twelve cyclic nucleotide binding proteins were identified experimentally including key enzymes in the Calvin cycle and photorespiration pathway. Importantly, eight of the twelve proteins were shown to contain putative cyclic nucleotide binding domains. Moreover, the identified proteins are post-translationally modified by nitric oxide, transcriptionally co-expressed and annotated to function in hydrogen peroxide signaling and the defence response. The activity of one of these proteins, GLYGOLATE OXIDASE 1, a photorespiratory enzyme that produces hydrogen peroxide in response to Pseudomonas, was shown to be repressed by a combination of cGMP and nitric oxide treatment. Conclusions We propose that the identified proteins function together as points of cross-talk between cyclic nucleotide, nitric oxide and reactive oxygen species signaling during the defence response.
    Citation
    The arabidopsis cyclic nucleotide interactome 2016, 14 (1) Cell Communication and Signaling
    Sponsors
    This research was funded by King Abdullah University of Science and Technology.
    Publisher
    Springer Nature
    Journal
    Cell Communication and Signaling
    DOI
    10.1186/s12964-016-0133-2
    PubMed ID
    27170143
    Additional Links
    http://biosignaling.biomedcentral.com/articles/10.1186/s12964-016-0133-2
    Relations
    Is Supplemented By:
    • [Dataset]
      Donaldson, L., Meier, S., & Gehring, C. (2016). The arabidopsis cyclic nucleotide interactome. Figshare. https://doi.org/10.6084/m9.figshare.c.3621143. DOI: 10.6084/m9.figshare.c.3621143 HANDLE: 10754/624135
    ae974a485f413a2113503eed53cd6c53
    10.1186/s12964-016-0133-2
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

    Related articles

    • Detection of reactive oxygen species downstream of cyclic nucleotide signals in plants.
    • Authors: Walker RK, Berkowitz GA
    • Issue date: 2013
    • An affinity pull-down approach to identify the plant cyclic nucleotide interactome.
    • Authors: Donaldson L, Meier S
    • Issue date: 2013
    • The emerging role of photorespiration and non-photorespiratory peroxisomal metabolism in pathogen defence.
    • Authors: Sørhagen K, Laxa M, Peterhänsel C, Reumann S
    • Issue date: 2013 Jul
    • Cyclic nucleotide binding proteins in the Arabidopsis thaliana and Oryza sativa genomes.
    • Authors: Bridges D, Fraser ME, Moorhead GB
    • Issue date: 2005 Jan 11
    • Cyclic nucleotide-gated channels in plants.
    • Authors: Kaplan B, Sherman T, Fromm H
    • Issue date: 2007 May 25
    DSpace software copyright © 2002-2022  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.