Identification of Putative Interactors of Arabidopsis Sugar Transporters. (January 2021)

• Record Type: Journal Article
• Authors: Wipf, Daniel; Pfister, Carole; Mounier, Arnaud; Leborgne-Castel, Nathalie; Frommer, Wolf B.; Courty, Pierre-Emmanuel
• Is Part Of: Trends in plant science. Volume 26:Number 1(2021)
• Page Start: 13
• Page End: 22
• Publication Date: 2021-01
• Subjects: sugar transporter -- interactome -- protein–protein interactions; Botany -- Periodicals; Botanique -- Périodiques; Botany; Periodicals; 580.5
• DOI: 10.1016/j.tplants.2020.09.009
• Languages: English
• ISSNs: 1360-1385

Abstract

Abstract : Hexoses and disaccharides are the key carbon sources for essentially all physiological processes across kingdoms. In plants, sucrose, and in some cases raffinose and stachyose, are transported from the site of synthesis in leaves, the sources, to all other organs that depend on import, the sinks. Sugars also play key roles in interactions with beneficial and pathogenic microbes. Sugar transport is mediated by transport proteins that fall into super-families. Sugar transporter (ST) activity is tuned at different levels, including transcriptional and posttranslational levels. Understanding the ST interactome has a great potential to uncover important players in biologically and physiologically relevant processes, including, but not limited to Arabidopsis thaliana . Here, we combined ST interactions and coexpression studies to identify potentially relevant interaction networks. Highlights: Sugar transporters (STs), involved in many physiological processes, belong to the major facilitator superfamily, including sucrose transporters/sucrose carriers, monosaccharide transporters and sugars will eventually be exported transporters. ST activity is tuned at different levels, including transcriptional and posttranslational levels. Membrane-based Interaction Network Database (MIND), a database for Arabidopsis thaliana membrane protein interactions, and ATTED-II, a coexpression network analysis that allows capture of patterns of pathway organization and crosstalks.