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StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity

Bibliography:

Sophia L. Samodelov, Hannes M. Beyer, Xiujie Guo, Maximilian Augustin, Kun-Peng Jia, Lina Baz, Oliver Ebenhöh, Peter Beyer, Wilfried Weber, Salim Al-Babili, and Matias D. Zurbriggen. StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity. Science Advances. DOI: 10.1126/sciadv.1601266​

Authors:

Sophia L. Samodelov, Hannes M. Beyer, Xiujie Guo, Maximilian Augustin, Kun-Peng Jia, Lina Baz, Oliver Ebenhöh, Peter Beyer, Wilfried Weber, Salim Al-Babili, and Matias D. Zurbriggen

Keywords:

Strigolactone signaling, strigolactone quantitative biosensor, plant synthetic biology, genetically encoded strigolactone biosensor, strigolactone perception

Year:

2016

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 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.

ISSN:

2375-2548