StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity
Type
ArticleAuthors
Samodelov, S. L.Beyer, H. M.
Guo, X.
Augustin, M.
Jia, K.-P.
Baz, Lina Abdulkareem Ali
Ebenho h, O.
Beyer, P.
Weber, W.
Al-Babili, Salim
Zurbriggen, M. D.
KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionBioscience Program
Plant Science Program
Desert Agriculture Initiative
Date
2016-11-05Permanent link to this record
http://hdl.handle.net/10754/622741Metadata
Show full item recordAbstract
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.Citation
Samodelov SL, Beyer HM, Guo X, Augustin M, Jia K-P, et al. (2016) StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity. Science Advances 2: e1601266–e1601266. Available: http://dx.doi.org/10.1126/sciadv.1601266.Sponsors
This research was supported by funding from the excellence initiatives of the German federal and state governments (DFG EXC-1028-CEPLAS, EXC 294-BIOSS, and GSC 4-SGBM) and the King Abdullah University of Science and Technology (KAUST).Journal
Science AdvancesISSN
2375-2548Additional Links
http://advances.sciencemag.org/content/2/11/e1601266.fullScopus Count
Except where otherwise noted, this item's license is described as This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
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