A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves. (11th May 2013)

• Record Type: Journal Article
• Authors: Hickman, Richard; Hill, Claire; Penfold, Christopher A.; Breeze, Emily; Bowden, Laura; Moore, Jonathan D.; Zhang, Peijun; Jackson, Alison; Cooke, Emma; Bewicke‐Copley, Findlay; Mead, Andrew; Beynon, Jim; Wild, David L.; Denby, Katherine J.; Ott, Sascha; Buchanan‐Wollaston, Vicky
• Is Part Of: Plant journal. Volume 75:Number 1(2013:Jul.)
• Page Start: 26
• Page End: 39
• Publication Date: 2013-05-11
• Subjects: Plant molecular biology -- Periodicals; Plant cells and tissues -- Periodicals; Botany -- Periodicals; 580
• DOI: 10.1111/tpj.12194
• Languages: English
• ISSNs: 0960-7412

Abstract

<abstract abstract-type="main" xml:lang="en" id="tpj12194-abs-0001"> <title>Summary</title> <p>A model is presented describing the gene regulatory network surrounding three similar NAC transcription factors that have roles in Arabidopsis leaf senescence and stress responses. <italic>ANAC019</italic>, <italic> ANAC055</italic> and <italic>ANAC072</italic> belong to the same clade of NAC domain genes and have overlapping expression patterns. A combination of promoter DNA/protein interactions identified using yeast 1‐hybrid analysis and modelling using gene expression time course data has been applied to predict the regulatory network upstream of these genes. Similarities and divergence in regulation during a variety of stress responses are predicted by different combinations of upstream transcription factors binding and also by the modelling. Mutant analysis with potential upstream genes was used to test and confirm some of the predicted interactions. Gene expression analysis in mutants of <italic>ANAC019</italic> and <italic>ANAC055</italic> at different times during leaf senescence has revealed a distinctly different role for each of these genes. Yeast 1‐hybrid analysis is shown to be a valuable tool that can distinguish clades of binding proteins and be used to test and quantify protein binding to predicted promoter motifs.</p> </abstract>