title: StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity.
abstract: Strigolactones are key regulators of plant development and interaction with symbiotic fungi; however, quantitative tools for strigolactone signaling analysis are lacking. We introduce a genetically encoded hormone biosensor used to analyze strigolactone-mediated processes, including the study of the components involved in the hormone perception/signaling complex and the structural specificity and sensitivity of natural and synthetic strigolactones inArabidopsis, providing quantitative insights into the stereoselectivity of strigolactone perception. Given the high specificity, sensitivity, dynamic range of activity, modular construction, ease of implementation, and wide applicability, the biosensor StrigoQuant will be useful in unraveling multiple levels of strigolactone metabolic and signaling networks.
authors.affiliation: 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.
authors.forename: Sophia L
authors.initials: SL
authors.lastname: Samodelov
authors.affiliation: Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany.; Faculty of Biology, University of Freiburg, Freiburg, Germany.
authors.forename: Hannes M
authors.identifier: 0000-0002-6882-006X
authors.initials: HM
authors.lastname: Beyer
authors.affiliation: King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Center for Desert Agriculture, 23955-6900 Thuwal, Saudi Arabia.
authors.forename: Xiujie
authors.initials: X
authors.lastname: Guo
authors.affiliation: Faculty of Biology, University of Freiburg, Freiburg, Germany.
authors.forename: Maximilian
authors.initials: M
authors.lastname: Augustin
authors.affiliation: King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Center for Desert Agriculture, 23955-6900 Thuwal, Saudi Arabia.
authors.forename: Kun-Peng
authors.initials: KP
authors.lastname: Jia
authors.affiliation: King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Center for Desert Agriculture, 23955-6900 Thuwal, Saudi Arabia.
authors.forename: Lina
authors.initials: L
authors.lastname: Baz
authors.affiliation: Institute of Quantitative and Theoretical Biology and CEPLAS, University of Düsseldorf, Düsseldorf, Germany.
authors.forename: Oliver
authors.identifier: 0000-0002-7229-7398
authors.initials: O
authors.lastname: Ebenhöh
authors.affiliation: Faculty of Biology, University of Freiburg, Freiburg, Germany.
authors.forename: Peter
authors.initials: P
authors.lastname: Beyer
authors.affiliation: Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany.; Faculty of Biology, University of Freiburg, Freiburg, Germany.; BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany.
authors.forename: Wilfried
authors.initials: W
authors.lastname: Weber
authors.affiliation: King Abdullah University of Science and Technology (KAUST), Biological and Environmental Science and Engineering Division, Center for Desert Agriculture, 23955-6900 Thuwal, Saudi Arabia.
authors.forename: Salim
authors.initials: S
authors.lastname: Al-Babili
authors.affiliation: Institute of Synthetic Biology and Cluster of Excellence on Plant Sciences (CEPLAS), University of Düsseldorf, Düsseldorf, Germany.
authors.forename: Matias D
authors.initials: MD
authors.lastname: Zurbriggen
mesh_terms: D017360:Arabidopsis / Q000235:genetics* / Q000378:metabolism*; D015374:Biosensing Techniques / Q000379:methods*; D007783:Lactones / Q000032:analysis* / Q000378:metabolism*
chemical_list: D007783:Lactones
keywords: Strigolactone signaling; genetically encoded strigolactone biosensor; plant synthetic biology; strigolactone perception; strigolactone quantitative biosensor