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High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana

Reproducible and efficient high-throughput phenotyping approaches, combined with advances in genome sequencing, are facilitating the discovery of genes affecting plant performance. Salinity tolerance is a desirable trait that can be achieved through breeding, where most have aimed at selecting for p...

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Autores principales: Awlia, Mariam, Nigro, Arianna, Fajkus, Jiří, Schmoeckel, Sandra M., Negrão, Sónia, Santelia, Diana, Trtílek, Martin, Tester, Mark, Julkowska, Magdalena M., Panzarová, Klára
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039194/
https://www.ncbi.nlm.nih.gov/pubmed/27733855
http://dx.doi.org/10.3389/fpls.2016.01414
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author Awlia, Mariam
Nigro, Arianna
Fajkus, Jiří
Schmoeckel, Sandra M.
Negrão, Sónia
Santelia, Diana
Trtílek, Martin
Tester, Mark
Julkowska, Magdalena M.
Panzarová, Klára
author_facet Awlia, Mariam
Nigro, Arianna
Fajkus, Jiří
Schmoeckel, Sandra M.
Negrão, Sónia
Santelia, Diana
Trtílek, Martin
Tester, Mark
Julkowska, Magdalena M.
Panzarová, Klára
author_sort Awlia, Mariam
collection PubMed
description Reproducible and efficient high-throughput phenotyping approaches, combined with advances in genome sequencing, are facilitating the discovery of genes affecting plant performance. Salinity tolerance is a desirable trait that can be achieved through breeding, where most have aimed at selecting for plants that perform effective ion exclusion from the shoots. To determine overall plant performance under salt stress, it is helpful to investigate several plant traits collectively in one experimental setup. Hence, we developed a quantitative phenotyping protocol using a high-throughput phenotyping system, with RGB and chlorophyll fluorescence (ChlF) imaging, which captures the growth, morphology, color and photosynthetic performance of Arabidopsis thaliana plants in response to salt stress. We optimized our salt treatment by controlling the soil-water content prior to introducing salt stress. We investigated these traits over time in two accessions in soil at 150, 100, or 50 mM NaCl to find that the plants subjected to 100 mM NaCl showed the most prominent responses in the absence of symptoms of severe stress. In these plants, salt stress induced significant changes in rosette area and morphology, but less prominent changes in rosette coloring and photosystem II efficiency. Clustering of ChlF traits with plant growth of nine accessions maintained at 100 mM NaCl revealed that in the early stage of salt stress, salinity tolerance correlated with non-photochemical quenching processes and during the later stage, plant performance correlated with quantum yield. This integrative approach allows the simultaneous analysis of several phenotypic traits. In combination with various genetic resources, the phenotyping protocol described here is expected to increase our understanding of plant performance and stress responses, ultimately identifying genes that improve plant performance in salt stress conditions.
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spelling pubmed-50391942016-10-12 High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana Awlia, Mariam Nigro, Arianna Fajkus, Jiří Schmoeckel, Sandra M. Negrão, Sónia Santelia, Diana Trtílek, Martin Tester, Mark Julkowska, Magdalena M. Panzarová, Klára Front Plant Sci Plant Science Reproducible and efficient high-throughput phenotyping approaches, combined with advances in genome sequencing, are facilitating the discovery of genes affecting plant performance. Salinity tolerance is a desirable trait that can be achieved through breeding, where most have aimed at selecting for plants that perform effective ion exclusion from the shoots. To determine overall plant performance under salt stress, it is helpful to investigate several plant traits collectively in one experimental setup. Hence, we developed a quantitative phenotyping protocol using a high-throughput phenotyping system, with RGB and chlorophyll fluorescence (ChlF) imaging, which captures the growth, morphology, color and photosynthetic performance of Arabidopsis thaliana plants in response to salt stress. We optimized our salt treatment by controlling the soil-water content prior to introducing salt stress. We investigated these traits over time in two accessions in soil at 150, 100, or 50 mM NaCl to find that the plants subjected to 100 mM NaCl showed the most prominent responses in the absence of symptoms of severe stress. In these plants, salt stress induced significant changes in rosette area and morphology, but less prominent changes in rosette coloring and photosystem II efficiency. Clustering of ChlF traits with plant growth of nine accessions maintained at 100 mM NaCl revealed that in the early stage of salt stress, salinity tolerance correlated with non-photochemical quenching processes and during the later stage, plant performance correlated with quantum yield. This integrative approach allows the simultaneous analysis of several phenotypic traits. In combination with various genetic resources, the phenotyping protocol described here is expected to increase our understanding of plant performance and stress responses, ultimately identifying genes that improve plant performance in salt stress conditions. Frontiers Media S.A. 2016-09-28 /pmc/articles/PMC5039194/ /pubmed/27733855 http://dx.doi.org/10.3389/fpls.2016.01414 Text en Copyright © 2016 Awlia, Nigro, Fajkus, Schmoeckel, Negrão, Santelia, Trtílek, Tester, Julkowska and Panzarová. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Awlia, Mariam
Nigro, Arianna
Fajkus, Jiří
Schmoeckel, Sandra M.
Negrão, Sónia
Santelia, Diana
Trtílek, Martin
Tester, Mark
Julkowska, Magdalena M.
Panzarová, Klára
High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
title High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
title_full High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
title_fullStr High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
title_full_unstemmed High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
title_short High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
title_sort high-throughput non-destructive phenotyping of traits that contribute to salinity tolerance in arabidopsis thaliana
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039194/
https://www.ncbi.nlm.nih.gov/pubmed/27733855
http://dx.doi.org/10.3389/fpls.2016.01414
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