Abstract

Summary Experimental data show that Arabidopsis thaliana 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.A dynamic model of Ca2+–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.Modelling analysis reveals that: calcium signals in the form of cytosolic calcium concentration elevations are nonlinearly amplified by binding of Ca2+, CaM and CAMTAs; amplification of Ca2+ 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.Information flow from calcium signatures to CAMTA‐regulated gene expression responses has been established by combining experimental data with mathematical modelling.

Highlights

  • Plants are sessile organisms and they must adapt their metabolism, growth and architecture to a changing environment

  • Our focus is to investigate how different calcium signatures are decoded by calmodulin-binding transcription activators (CAMTAs) to produce specific gene expression responses

  • Ca2+ signals are nonlinearly amplified as a result of the Ca2+–CaM–CAMTA interaction

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Summary

Introduction

Plants are sessile organisms and they must adapt their metabolism, growth and architecture to a changing environment. The majority of their defence against stress is realized by changes in gene expression in order to produce proteins required to combat the conditions they encounter. Given that calcium is an intermediate between stimulus perception and gene expression (Whalley et al, 2011), it is possible that the specific characteristics of the calcium signatures produced by different stresses encode stimulus-specific information

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