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

Handle URI:
http://hdl.handle.net/10754/622741
Title:
StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity
Authors:
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 ( 0000-0003-4823-2882 ) ; Zurbriggen, M. D.
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.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division; Bioscience Program; Plant Science Program; Desert Agriculture Initiative
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.
Publisher:
American Association for the Advancement of Science (AAAS)
Journal:
Science Advances
Issue Date:
5-Nov-2016
DOI:
10.1126/sciadv.1601266
Type:
Article
ISSN:
2375-2548
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).
Additional Links:
http://advances.sciencemag.org/content/2/11/e1601266.full
Appears in Collections:
Articles; Bioscience Program; Plant Science Program; Desert Agriculture Initiative; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSamodelov, S. L.en
dc.contributor.authorBeyer, H. M.en
dc.contributor.authorGuo, X.en
dc.contributor.authorAugustin, M.en
dc.contributor.authorJia, K.-P.en
dc.contributor.authorBaz, Lina Abdulkareem Alien
dc.contributor.authorEbenho h, O.en
dc.contributor.authorBeyer, P.en
dc.contributor.authorWeber, W.en
dc.contributor.authorAl-Babili, Salimen
dc.contributor.authorZurbriggen, M. D.en
dc.date.accessioned2017-01-26T13:29:24Z-
dc.date.available2017-01-26T13:29:24Z-
dc.date.issued2016-11-05en
dc.identifier.citationSamodelov 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.en
dc.identifier.issn2375-2548en
dc.identifier.doi10.1126/sciadv.1601266en
dc.identifier.urihttp://hdl.handle.net/10754/622741-
dc.description.abstractStrigolactones 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.en
dc.description.sponsorshipThis 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).en
dc.publisherAmerican Association for the Advancement of Science (AAAS)en
dc.relation.urlhttp://advances.sciencemag.org/content/2/11/e1601266.fullen
dc.rightsThis 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.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectPlant Synthetic Biologyen
dc.subjectStrigolactone Signalingen
dc.subjectGenetically Encoded Strigolactone Biosensoren
dc.subjectStrigolactone Perceptionen
dc.subjectStrigolactone Quantitative Biosensoren
dc.titleStrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificityen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentBioscience Programen
dc.contributor.departmentPlant Science Programen
dc.contributor.departmentDesert Agriculture Initiativeen
dc.identifier.journalScience Advancesen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionInstitute of Synthetic Biology and Cluster of Excellence on Plant Sciences (CEPLAS), University of Düsseldorf, Düsseldorf, Germany.en
dc.contributor.institutionSpemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany.en
dc.contributor.institutionFaculty of Biology, University of Freiburg, Freiburg, Germany.en
dc.contributor.institutionInstitute of Quantitative and Theoretical Biology and CEPLAS, University of Düsseldorf, Düsseldorf, Germany.en
dc.contributor.institutionBIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany.en
kaust.authorGuo, X.en
kaust.authorJia, K.-P.en
kaust.authorBaz, Lina Abdulkareem Alien
kaust.authorAl-Babili, Salimen
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