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StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099991/ https://www.ncbi.nlm.nih.gov/pubmed/27847871 http://dx.doi.org/10.1126/sciadv.1601266 |
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author | Samodelov, Sophia L. Beyer, Hannes M. Guo, Xiujie Augustin, Maximilian Jia, Kun-Peng Baz, Lina Ebenhöh, Oliver Beyer, Peter Weber, Wilfried Al-Babili, Salim Zurbriggen, Matias D. |
author_facet | Samodelov, Sophia L. Beyer, Hannes M. Guo, Xiujie Augustin, Maximilian Jia, Kun-Peng Baz, Lina Ebenhöh, Oliver Beyer, Peter Weber, Wilfried Al-Babili, Salim Zurbriggen, Matias D. |
author_sort | Samodelov, Sophia L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5099991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50999912016-11-15 StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity Samodelov, Sophia L. Beyer, Hannes M. Guo, Xiujie Augustin, Maximilian Jia, Kun-Peng Baz, Lina Ebenhöh, Oliver Beyer, Peter Weber, Wilfried Al-Babili, Salim Zurbriggen, Matias D. Sci Adv Research Articles 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. American Association for the Advancement of Science 2016-11-04 /pmc/articles/PMC5099991/ /pubmed/27847871 http://dx.doi.org/10.1126/sciadv.1601266 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , 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. |
spellingShingle | Research Articles Samodelov, Sophia L. Beyer, Hannes M. Guo, Xiujie Augustin, Maximilian Jia, Kun-Peng Baz, Lina Ebenhöh, Oliver Beyer, Peter Weber, Wilfried Al-Babili, Salim Zurbriggen, Matias D. StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity |
title | StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity |
title_full | StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity |
title_fullStr | StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity |
title_full_unstemmed | StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity |
title_short | StrigoQuant: A genetically encoded biosensor for quantifying strigolactone activity and specificity |
title_sort | strigoquant: a genetically encoded biosensor for quantifying strigolactone activity and specificity |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099991/ https://www.ncbi.nlm.nih.gov/pubmed/27847871 http://dx.doi.org/10.1126/sciadv.1601266 |
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