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A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions
dc.contributor.author | de Ollas, Carlos | |
dc.contributor.author | Segarra, Clara | |
dc.contributor.author | González-Guzmán, Miguel | |
dc.contributor.author | Puértolas, Jaime | |
dc.contributor.author | Gomez-Cadenas, Aurelio | |
dc.date.accessioned | 2020-10-15T11:45:23Z | |
dc.date.available | 2020-10-15T11:45:23Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | DE OLLAS, Carlos, et al. A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions. Plant methods, 2019, vol. 15, no 1, p. 89. | ca_CA |
dc.identifier.issn | 1746-4811 | |
dc.identifier.uri | http://hdl.handle.net/10234/189972 | |
dc.description.abstract | 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 mediumthroughput 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 pheno‑ typing platform has showed high reproducibility between diferent 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 profling allows investigation of hormonal responses (metabo‑ lite 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) defcient 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 diferences 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. | ca_CA |
dc.format.extent | 15 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | BMC | ca_CA |
dc.relation.isPartOf | Plant methods, 2019, vol. 15, no 1. | ca_CA |
dc.rights | © The Author(s) 2019. This 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. | ca_CA |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.subject | ABA | ca_CA |
dc.subject | Arabidopsis | ca_CA |
dc.subject | Drought | ca_CA |
dc.subject | Phenotyping | ca_CA |
dc.subject | Transpiration | ca_CA |
dc.title | A customizable method to characterize Arabidopsis thaliana transpiration under drought conditions | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1186/s13007-019-0474-0 | |
dc.relation.projectID | AGL2016-76574-R and UJI-B2016-23, RYC-2016-19325 | ca_CA |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0474-0 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
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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.