ArticleThe New phytologist2015
Combining modelling and experimental approaches to explain how calcium signatures are decoded by calmodulin-binding transcription activators (CAMTAs) to produce specific gene expression responses.
Article in The New phytologist, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Molecular Networks Governing Plant Responses to Heat and Cold Stress.Plants (Basel, Switzerland) · 2025Review
- Functional Characterization of Pomegranate CAMTA3 in Cold Stress Responses.Plants (Basel, Switzerland) · 2025Article
- Genome-Wide Identification and Expression Analysis of thePlants (Basel, Switzerland) · 2024Article
- A regulatory network involving calmodulin controls phytosulfokine peptide processing during drought-induced flower abscission.The Plant cell · 2024Article
- Transcriptome analysis reveals key regulatory networks and genes involved in the acquisition of cold stress memory in pepper seedlings.BMC plant biology · 2024Article
- Identification and Molecular Characterization of the CAMTA Gene Family in Solanaceae with a Focus on the Expression Analysis of Eggplant Genes under Cold Stress.International journal of molecular sciences · 2024Article
- The amino acid region from 448-517 of CAMTA3 transcription factor containing a part of the TIG domain represses the N-terminal repression module function.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Article
- Genome-wide identification and expression analysis of the calmodulin-binding transcription activator (CAMTA) family genes in tea plant.BMC genomics · 2022Article
- Genome-Wide Identification and Characterization of the Calmodulin-Binding Transcription Activator (CAMTA) Gene Family in Plants and the Expression Pattern Analysis ofInternational journal of molecular sciences · 2022Article
- Photosynthesis Mediated byAntioxidants (Basel, Switzerland) · 2022Article
- Comprehensive genome-wide analysis of calmodulin-binding transcription activator (CAMTA) in Durio zibethinus and identification of fruit ripening-associated DzCAMTAs.BMC genomics · 2021Article
- Distinct Molecular Pattern-Induced Calcium Signatures Lead to Different Downstream Transcriptional Regulations via AtSR1/CAMTA3.International journal of molecular sciences · 2020Article
- Design Principle for Decoding Calcium Signals to Generate Specific Gene Expression Via Transcription.Plant physiology · 2020Article
- Gene co-expression network analysis provides a novel insight into the dynamic response of wheat to powdery mildew stress.Journal of genetics · 2020Article
- CaFrontiers in plant science · 2020Review
- Phosphate Starvation Alters Abiotic-Stress-Induced Cytosolic Free Calcium Increases in Roots.Plant physiology · 2019Article
- Calcium Signalling in Plant Biotic Interactions.International journal of molecular sciences · 2018Review
- CaScientific reports · 2018Article
- Different Cold-Signaling Pathways Function in the Responses to Rapid and Gradual Decreases in Temperature.The Plant cell · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
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 Ca(2+) -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 Ca(2+) , CaM and CAMTAs; amplification of Ca(2+) 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.
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