Publication detail

In-silico modelling of signalling pathways for dual functional of SnRK1 and SnRK2

SCHWARZEROVÁ, J. RETZER, K. WECKWERTH, W.

Original Title

In-silico modelling of signalling pathways for dual functional of SnRK1 and SnRK2

Type

abstract

Language

English

Original Abstract

Despite the negative impact of stress on crop productivity, how growth is modified by stress signaling pathways is poorly understood and some parts in these pathways are completely obscured. Innovative systems biology tools allow bioinformatics to model different situations and thus reveal the correct patterns reflected in life science. In this study, we focus on the implementation of biological knowledge to extend signaling pathway databases to the plant kingdom. Therefore, we focus on the ABA signalling pathway in Arabidopsis thaliana. The phytohormone ABA plays crucial roles in numerous physiological processes during plant growth and abiotic/biotic stress responses. Endogenous ABA levels are involved in complex regulatory mechanisms in signal transduction pathways and show interwoven network relations to sucrose non-fermenting 1-related protein kinase 2 (SnRK2) but also SnRK1 signalling pathways. The core ABA signalling pathway is composed of receptors in the pyrabatin resistance/pyrabitin resistance-like/regulatory components of ABA receptor (PYR/PYL/RCAR) family, type 2C protein phosphatases (PP2Cs), sucrose non-fermenting 1-related protein kinase 2 (SnRK2s) and substrates of SnRK2s. If ABA is present, the receptor RCAR/PYR/PYLs binds to PP2Cs, inhibits the enzymatic activity of PP2Cs and simultaneously dissociates the PP2Cs-SnRK2s complex. During the positive feedback loop we found two attractors representing stable states of the signalling pathways. In contrast, modelling with the negative feedback loop showed only one possible attractor and one chaotic situation. We simulated this model using different tools and at the end we also add information about the evolutionarily highly conserved energy-sensing SNF1-related protein kinases 1 (SnRK1) and its interaction with TOR signalling.

Keywords

Arabidopsis thaliana, Boolean networks, Systems biology, Signaling pathways

Authors

SCHWARZEROVÁ, J.; RETZER, K.; WECKWERTH, W.

Released

25. 6. 2023

Pages from

116

Pages to

116

Pages count

1

BibTex

@misc{BUT184932,
  author="Jana {Schwarzerová} and Katarzyna {Retzer} and Wolfram {Weckwerth}",
  title="In-silico modelling of signalling pathways for dual functional of SnRK1 and SnRK2",
  booktitle="Auxins and Cytokinins in Plant Development 2023 ... and cross-talk with other phytohormones in interactions with the changing environment",
  year="2023",
  pages="116--116",
  note="abstract"
}