Universität zu Köln

Samodelov, Sophia L. and Zurbriggen, Matias D. (2017). Quantitatively Understanding Plant Signaling: Novel Theoretical-Experimental Approaches. Trends Plant Sci., 22 (8). S. 685 - 705. LONDON: ELSEVIER SCIENCE LONDON. ISSN 1878-4372

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Samodelov, Sophia L. UNSPECIFIED UNSPECIFIED UNSPECIFIED Zurbriggen, Matias D. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-224361
DOI:	10.1016/j.tplants.2017.05.006
Journal or Publication Title:	Trends Plant Sci.
Volume:	22
Number:	8
Page Range:	S. 685 - 705
Date:	2017
Publisher:	ELSEVIER SCIENCE LONDON
Place of Publication:	LONDON
ISSN:	1878-4372
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language REGULATED GENE-EXPRESSION; AUXIN TRANSPORT MODELS; SYNTHETIC BIOLOGY; OPTOGENETIC CONTROL; MAMMALIAN-CELLS; IN-VIVO; NATURAL PHOTORECEPTORS; MASS-SPECTROMETRY; ESCHERICHIA-COLI; SYSTEMS BIOLOGY Multiple languages Plant Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/22436