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A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions
BACKGROUND: Characterization of the dynamic response of plant transpiration to decreasing soil water content in a reproducible way is required for the correct phenotyping of traits related to water saving strategies. Nowadays, an increasing number of automated high throughput platforms are available...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676626/ https://www.ncbi.nlm.nih.gov/pubmed/31388346 http://dx.doi.org/10.1186/s13007-019-0474-0 |
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author | de Ollas, Carlos Segarra-Medina, Clara González-Guzmán, Miguel Puertolas, Jaime Gómez-Cadenas, Aurelio |
author_facet | de Ollas, Carlos Segarra-Medina, Clara González-Guzmán, Miguel Puertolas, Jaime Gómez-Cadenas, Aurelio |
author_sort | de Ollas, Carlos |
collection | PubMed |
description | BACKGROUND: Characterization of the dynamic response of plant transpiration to decreasing soil water content in a reproducible way is required for the correct phenotyping of traits related to water saving strategies. Nowadays, an increasing number of automated high throughput platforms are available, but their development requires a great economic investment and it is not always desirable/feasible to outsource these analyses. We propose a medium-throughput protocol to characterize transpiration responses to decreasing soil moisture in a quantitative and highly reproducible way with a minimum investment of resources. RESULTS: The quantitative characterization of plant responses to a decreasing soil water content using our phenotyping platform has showed high reproducibility between different experiments. The proposed irrigation strategy allowed us to harvest plants ranging from a well-watered condition to the loss-of-turgor point in a predictable and controlled way. Coupling this protocol with hormone profiling allows investigation of hormonal responses (metabolite accumulation as well as plant sensitivity) to water stress. As a proof-of-concept, we have characterized the dynamic responses of leaf transpiration to decreasing soil water contents in an abscisic acid (ABA) deficient genotype (aba1-1) as well as in genotypes with altered sensitivity to ABA (abi1-1 and hab1-1abi1-1), which are insensitive and hypersensitive to ABA, respectively. CONCLUSIONS: This protocol allows for assessment of quantitative differences in rosette transpiration responses to water depletion in both ABA biosynthesis mutants and genotypes with altered sensitivity to the hormone. Data indicate a correlation between ABA levels and/or hormone perception and growth rate and/or water content. The protocol guarantees the correct application of water stress to adult plants, which is essential to understand responses of mutants and/or natural accessions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-019-0474-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6676626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66766262019-08-06 A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions de Ollas, Carlos Segarra-Medina, Clara González-Guzmán, Miguel Puertolas, Jaime Gómez-Cadenas, Aurelio Plant Methods Methodology BACKGROUND: Characterization of the dynamic response of plant transpiration to decreasing soil water content in a reproducible way is required for the correct phenotyping of traits related to water saving strategies. Nowadays, an increasing number of automated high throughput platforms are available, but their development requires a great economic investment and it is not always desirable/feasible to outsource these analyses. We propose a medium-throughput protocol to characterize transpiration responses to decreasing soil moisture in a quantitative and highly reproducible way with a minimum investment of resources. RESULTS: The quantitative characterization of plant responses to a decreasing soil water content using our phenotyping platform has showed high reproducibility between different experiments. The proposed irrigation strategy allowed us to harvest plants ranging from a well-watered condition to the loss-of-turgor point in a predictable and controlled way. Coupling this protocol with hormone profiling allows investigation of hormonal responses (metabolite accumulation as well as plant sensitivity) to water stress. As a proof-of-concept, we have characterized the dynamic responses of leaf transpiration to decreasing soil water contents in an abscisic acid (ABA) deficient genotype (aba1-1) as well as in genotypes with altered sensitivity to ABA (abi1-1 and hab1-1abi1-1), which are insensitive and hypersensitive to ABA, respectively. CONCLUSIONS: This protocol allows for assessment of quantitative differences in rosette transpiration responses to water depletion in both ABA biosynthesis mutants and genotypes with altered sensitivity to the hormone. Data indicate a correlation between ABA levels and/or hormone perception and growth rate and/or water content. The protocol guarantees the correct application of water stress to adult plants, which is essential to understand responses of mutants and/or natural accessions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-019-0474-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-02 /pmc/articles/PMC6676626/ /pubmed/31388346 http://dx.doi.org/10.1186/s13007-019-0474-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology de Ollas, Carlos Segarra-Medina, Clara González-Guzmán, Miguel Puertolas, Jaime Gómez-Cadenas, Aurelio A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions |
title | A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions |
title_full | A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions |
title_fullStr | A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions |
title_full_unstemmed | A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions |
title_short | A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions |
title_sort | customizable method to characterize arabidopsis thaliana transpiration under drought conditions |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676626/ https://www.ncbi.nlm.nih.gov/pubmed/31388346 http://dx.doi.org/10.1186/s13007-019-0474-0 |
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