An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions

0480124 - ÚEB 2018 RIV CH eng J - Journal Article
De Diego, N. - Fürst, T. - Humplík, Jan - Ugena, L. - Podlešáková, K. - Spíchal, L.
An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions.
Frontiers in Plant Science. Roč. 8, OCT 4 (2017), č. článku 1702. ISSN 1664-462X. E-ISSN 1664-462X
R&D Projects: GA MŠMT(CZ) LO1204
Institutional support: RVO:61389030
Keywords : salt stress * chlorophyll fluorescence * salinity tolerance * plant-responses * cold-tolerance * water-deficit * thaliana * selection * platform * reveals * high-throughput screening assay * Arabidopsis * multi-well plates * rosette growth * stress conditions
OECD category: Plant sciences, botany
Impact factor: 3.677, year: 2017

High-throughput plant phenotyping platforms provide new possibilities for automated, fast scoring of several plant growth and development traits, followed over time using non-invasive sensors. Using Arabidopsis as a model offers important advantages for high-throughput screening with the opportunity to extrapolate the results obtained to other crops of commercial interest. In this study we describe the development of a highly reproducible high-throughput Arabidopsis in vitro bioassay established using our OloPhen platform, suitable for analysis of rosette growth in multi-well plates. This method was successfully validated on example of multivariate analysis of Arabidopsis rosette growth in different salt concentrations and the interaction with varying nutritional composition of the growth medium. Several traits such as changes in the rosette area, relative growth rate, survival rate and homogeneity of the population are scored using fully automated RGB imaging and subsequent image analysis. The assay can be used for fast screening of the biological activity of chemical libraries, phenotypes of transgenic or recombinant inbred lines, or to search for potential quantitative trait loci. It is especially valuable for selecting genotypes or growth conditions that improve plant stress tolerance.
Permanent Link: http://hdl.handle.net/11104/0276035