Combining modelling and experimental approaches to explain how calcium signatures are decoded by calmodulin‐binding transcription activators (CAMTAs) to produce specific gene expression responses. Issue 1 (27th April 2015)

• Record Type: Journal Article
• Authors: Liu, Junli; Whalley, Helen J.; Knight, Marc R.
• Is Part Of: New phytologist. Volume 208:Issue 1(2015:Oct. 01)
• Page Start: 174
• Page End: 187
• Publication Date: 2015-04-27
• Subjects: Botany -- Periodicals; 580
• DOI: 10.1111/nph.13428
• Languages: English
• ISSNs: 0028-646X

Abstract

<abstract abstract-type="main" id="nph13428-abs-0001"> <title>Summary</title> <p> <list id="nph13428-list-0001" list-type="bullet"> <list-item> <p>Experimental data show that <italic>Arabidopsis thaliana</italic> is able to decode different calcium signatures to produce specific gene expression responses. It is also known that calmodulin‐binding transcription activators (CAMTAs) have calmodulin (CaM)‐binding domains. Therefore, the gene expression responses regulated by CAMTAs respond to calcium signals. However, little is known about how different calcium signatures are decoded by CAMTAs to produce specific gene expression responses.</p> </list-item> <list-item> <p>A dynamic model of Ca<sup>2+</sup>–CaM–CAMTA binding and gene expression responses is developed following thermodynamic and kinetic principles. The model is parameterized using experimental data. Then it is used to analyse how different calcium signatures are decoded by CAMTAs to produce specific gene expression responses.</p> </list-item> <list-item> <p>Modelling analysis reveals that: calcium signals in the form of cytosolic calcium concentration elevations are nonlinearly amplified by binding of Ca<sup>2+</sup>, CaM and CAMTAs; amplification of Ca<sup>2+</sup> signals enables calcium signatures to be decoded to give specific CAMTA‐regulated gene expression responses; gene expression responses to a calcium signature depend upon its history and accumulate all the information during the lifetime of the calcium signature.</p> </list-item> <list-item> <p>Information flow from calcium signatures to CAMTA‐regulated gene expression responses has been established by combining experimental data with mathematical modelling.</p> </list-item> </list> </p> </abstract>