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StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity
Author(s) -
Sophia L. Samodelov,
Hannes M. Beyer,
Xiujie Guo,
Maximilian Augustin,
KunPeng Jia,
Lina Baz,
Oliver Ebenhöh,
Peter Beyer,
Wilfried Weber,
Salim AlBabili,
Matías D. Zurbriggen
Publication year - 2016
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.1601266
Subject(s) - biosensor , strigolactone , computational biology , computer science , biology , genetics , biochemistry , gene , arabidopsis , mutant
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 in Arabidopsis, 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

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