An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389030%3A_____%2F17%3A00480124" target="_blank" >RIV/61389030:_____/17:00480124 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/17:73583884
Result on the web
<a href="http://dx.doi.org/10.3389/fpls.2017.01702" target="_blank" >http://dx.doi.org/10.3389/fpls.2017.01702</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fpls.2017.01702" target="_blank" >10.3389/fpls.2017.01702</a>
Alternative languages
Result language
angličtina
Original language name
An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Plant Science
ISSN
1664-462X
e-ISSN
—
Volume of the periodical
8
Issue of the periodical within the volume
OCT 4
Country of publishing house
CH - SWITZERLAND
Number of pages
16
Pages from-to
—
UT code for WoS article
000412220500001
EID of the result in the Scopus database
—