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Trends Plant Sci. 2017 Aug;22(8):685-704. doi: 10.1016/j.tplants.2017.05.006. Epub 2017 Jun 28.

Quantitatively Understanding Plant Signaling: Novel Theoretical-Experimental Approaches.

Author information

1
Institute of Synthetic Biology and Cluster of Excellence on Plant Sciences (CEPLAS), University of Düsseldorf, Düsseldorf, Germany; Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany.
2
Institute of Synthetic Biology and Cluster of Excellence on Plant Sciences (CEPLAS), University of Düsseldorf, Düsseldorf, Germany. Electronic address: matias.zurbriggen@uni-duesseldorf.de.

Abstract

With the need to respond to and integrate a multitude of external and internal stimuli, plant signaling is highly complex, exhibiting signaling component redundancy and high interconnectedness between individual pathways. We review here novel theoretical-experimental approaches in manipulating plant signaling towards the goal of a comprehensive understanding and targeted quantitative control of plant processes. We highlight approaches taken in the field of synthetic biology used in other systems and discuss their applicability in plants. Finally, we introduce existing tools for the quantitative analysis and monitoring of plant signaling and the integration of experimentally obtained quantitative data into mathematical models. Incorporating principles of synthetic biology into plant sciences more widely will lead this field forward in both fundamental and applied research.

KEYWORDS:

mathematical modeling; orthogonal systems; plant synthetic biology; quantitative studies; signaling networks; synthetic signaling

PMID:
28668509
DOI:
10.1016/j.tplants.2017.05.006
[Indexed for MEDLINE]

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