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Structural and molecular dynamics simulation studies of CBL-interacting protein kinase CIPK and its complexes related to plant salinity stress.

Authors :
Das PK
Bhatnagar T
Banik S
Majumdar S
Dutta D
Source :
Journal of molecular modeling [J Mol Model] 2024 Jul 05; Vol. 30 (8), pp. 248. Date of Electronic Publication: 2024 Jul 05.
Publication Year :
2024

Abstract

Context: Calcium-dependent signaling in plants is responsible for several major cellular events, including the activation of the salinity-responsive pathways. Calcium binds to calcineurin B-like protein (CBL), and the resulting CBL-Ca <superscript>2+</superscript> complex binds to CBL-interacting protein kinase (CIPK). The CBL-CIPK complex enhances the CIPK interaction with an upstream kinase. The upstream kinase phosphorylates CIPK that, in turn, phosphorylates membrane transporters. Phosphorylation influences transporter activity to kick-start many downstream functions, such as balancing the cytosolic Na <superscript>+</superscript> -to-K <superscript>+</superscript> ratio. The CBL-CIPK interaction is pivotal for Ca <superscript>2+</superscript> -dependent salinity stress signaling.<br />Methods: Computational methods are used to model the entire Arabidopsis thaliana CIPK24 protein structure in its autoinhibited and open-activated states. Arabidopsis thaliana CIPK24-CBL4 complex is predicted based on the protein-protein docking methods. The available structural and functional data support the CIPK24 and the CIPK24-CBL4 complex models. Models are energy-minimized and subjected to molecular dynamics (MD) simulations. MD simulations for 500 ns and 300 ns enabled us to predict the importance of conserved residues of the proteins. Finally, the work is extended to predict the CIPK24-CBL4 complex with the upstream kinase GRIK2. MD simulation for 300 ns on the ternary complex structure enabled us to identify the critical CIPK24-GRIK2 interactions. Together, these data could be used to engineer the CBL-CIPK interaction network for developing salt tolerance in crops.<br /> (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
0948-5023
Volume :
30
Issue :
8
Database :
MEDLINE
Journal :
Journal of molecular modeling
Publication Type :
Academic Journal
Accession number :
38965105
Full Text :
https://doi.org/10.1007/s00894-024-06037-5