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

Handle URI:
http://hdl.handle.net/10754/621095
Title:
High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana
Authors:
Awlia, Mariam Sahal Abdulaziz; Nigro, Arianna; Fajkus, Jiří; Schmoeckel, Sandra Manuela ( 0000-0001-5974-5136 ) ; Negrão, Sónia; Santelia, Diana; Trtílek, Martin; Tester, Mark A. ( 0000-0002-5085-8801 ) ; Julkowska, Magdalena; Panzarová, Klára
Abstract:
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.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division
Citation:
Awlia M, Nigro A, Fajkus J, Schmoeckel SM, Negrão S, et al. (2016) High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana. Frontiers in Plant Science 7. Available: http://dx.doi.org/10.3389/fpls.2016.01414.
Publisher:
Frontiers Media SA
Journal:
Frontiers in Plant Science
Issue Date:
28-Sep-2016
DOI:
10.3389/fpls.2016.01414
Type:
Article
ISSN:
1664-462X
Sponsors:
The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) and from the European Union’s Seventh Framework Program for research, technological development and demonstration under grant agreement no GA-2013-608422 – IDP BRIDGES.
Additional Links:
http://journal.frontiersin.org/article/10.3389/fpls.2016.01414
Appears in Collections:
Articles; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAwlia, Mariam Sahal Abdulazizen
dc.contributor.authorNigro, Ariannaen
dc.contributor.authorFajkus, Jiříen
dc.contributor.authorSchmoeckel, Sandra Manuelaen
dc.contributor.authorNegrão, Sóniaen
dc.contributor.authorSantelia, Dianaen
dc.contributor.authorTrtílek, Martinen
dc.contributor.authorTester, Mark A.en
dc.contributor.authorJulkowska, Magdalenaen
dc.contributor.authorPanzarová, Kláraen
dc.date.accessioned2016-10-20T11:52:15Z-
dc.date.available2016-10-20T11:52:15Z-
dc.date.issued2016-09-28en
dc.identifier.citationAwlia M, Nigro A, Fajkus J, Schmoeckel SM, Negrão S, et al. (2016) High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana. Frontiers in Plant Science 7. Available: http://dx.doi.org/10.3389/fpls.2016.01414.en
dc.identifier.issn1664-462Xen
dc.identifier.doi10.3389/fpls.2016.01414en
dc.identifier.urihttp://hdl.handle.net/10754/621095-
dc.description.abstractReproducible 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.en
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) and from the European Union’s Seventh Framework Program for research, technological development and demonstration under grant agreement no GA-2013-608422 – IDP BRIDGES.en
dc.publisherFrontiers Media SAen
dc.relation.urlhttp://journal.frontiersin.org/article/10.3389/fpls.2016.01414en
dc.rightsCopyright © 2016 Awlia, Nigro, Fajkus, Schmoeckel, Negrão, Santelia, Trtílek, Tester, Julkowska and Panzarová. 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.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjecthigh-throughput phenotypingen
dc.subjectArabidopsis thalianaen
dc.subjectsalt stressen
dc.subjectsalinity toleranceen
dc.subjectshoot-ion independent toleranceen
dc.subjectkinetic chlorophyll fluorescence imagingen
dc.subjectcolor segmentationen
dc.titleHigh-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thalianaen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.identifier.journalFrontiers in Plant Scienceen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionInstitute of Plant and Microbial Biology, University of Zurich, Zurich, Switzerlanden
dc.contributor.institutionPSI (Photon Systems Instruments), Drásov, Czech Republicen
kaust.authorAwlia, Mariam Sahal Abdulazizen
kaust.authorSchmoeckel, Sandra Manuelaen
kaust.authorNegrão, Sóniaen
kaust.authorTester, Mark A.en
kaust.authorJulkowska, Magdalenaen
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