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Protocol for characterizing strigolactones released by plant roots
The plant hormone strigolactones (SLs) are secreted by plant roots to act as rhizospheric signals. Here, we present a protocol for characterizing plant-released SLs. We first outline all necessary steps required for collection, processing, and analysis of plant root exudates using the C(18) column f...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127222/ https://www.ncbi.nlm.nih.gov/pubmed/35620066 http://dx.doi.org/10.1016/j.xpro.2022.101352 |
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author | Wang, Jian You Chen, Guan-Ting Erica Jamil, Muhammad Braguy, Justine Sioud, Salim Liew, Kit Xi Balakrishna, Aparna Al-Babili, Salim |
author_facet | Wang, Jian You Chen, Guan-Ting Erica Jamil, Muhammad Braguy, Justine Sioud, Salim Liew, Kit Xi Balakrishna, Aparna Al-Babili, Salim |
author_sort | Wang, Jian You |
collection | PubMed |
description | The plant hormone strigolactones (SLs) are secreted by plant roots to act as rhizospheric signals. Here, we present a protocol for characterizing plant-released SLs. We first outline all necessary steps required for collection, processing, and analysis of plant root exudates using the C(18) column for SL extraction, followed by liquid chromatography-mass spectrometry (LC-MS) for SL quantification. We then describe image processing by SeedQuant, an open-source artificial-intelligence-based software, for measuring the biological activity of SLs in inducing root parasitic plant seed germination. For complete details on the use and execution of this protocol, please refer to Wang et al. (2019) and Braguy et al. (2021). |
format | Online Article Text |
id | pubmed-9127222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91272222022-05-25 Protocol for characterizing strigolactones released by plant roots Wang, Jian You Chen, Guan-Ting Erica Jamil, Muhammad Braguy, Justine Sioud, Salim Liew, Kit Xi Balakrishna, Aparna Al-Babili, Salim STAR Protoc Protocol The plant hormone strigolactones (SLs) are secreted by plant roots to act as rhizospheric signals. Here, we present a protocol for characterizing plant-released SLs. We first outline all necessary steps required for collection, processing, and analysis of plant root exudates using the C(18) column for SL extraction, followed by liquid chromatography-mass spectrometry (LC-MS) for SL quantification. We then describe image processing by SeedQuant, an open-source artificial-intelligence-based software, for measuring the biological activity of SLs in inducing root parasitic plant seed germination. For complete details on the use and execution of this protocol, please refer to Wang et al. (2019) and Braguy et al. (2021). Elsevier 2022-05-18 /pmc/articles/PMC9127222/ /pubmed/35620066 http://dx.doi.org/10.1016/j.xpro.2022.101352 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Wang, Jian You Chen, Guan-Ting Erica Jamil, Muhammad Braguy, Justine Sioud, Salim Liew, Kit Xi Balakrishna, Aparna Al-Babili, Salim Protocol for characterizing strigolactones released by plant roots |
title | Protocol for characterizing strigolactones released by plant roots |
title_full | Protocol for characterizing strigolactones released by plant roots |
title_fullStr | Protocol for characterizing strigolactones released by plant roots |
title_full_unstemmed | Protocol for characterizing strigolactones released by plant roots |
title_short | Protocol for characterizing strigolactones released by plant roots |
title_sort | protocol for characterizing strigolactones released by plant roots |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127222/ https://www.ncbi.nlm.nih.gov/pubmed/35620066 http://dx.doi.org/10.1016/j.xpro.2022.101352 |
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