A Novel Image-Based Screening Method to Study Water-Deficit Response and Recovery of Barley Populations Using Canopy Dynamics Phenotyping and Simple Metabolite Profiling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F19%3A00005430" target="_blank" >RIV/00027006:_____/19:00005430 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/19:73598316
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fpls.2019.01252/pdf" target="_blank" >https://www.frontiersin.org/articles/10.3389/fpls.2019.01252/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fpls.2019.01252" target="_blank" >10.3389/fpls.2019.01252</a>
Alternative languages
Result language
angličtina
Original language name
A Novel Image-Based Screening Method to Study Water-Deficit Response and Recovery of Barley Populations Using Canopy Dynamics Phenotyping and Simple Metabolite Profiling
Original language description
Plant phenotyping platforms offer automated, fast scoring of traits that simplify the selection of varieties that are more competitive under stress conditions. However, indoor phenotyping methods are frequently based on the analysis of plant growth in individual pots. We present a reproducible indoor phenotyping method for screening young barley populations under water stress conditions and after subsequent rewatering. The method is based on a simple read-out of data using RGB imaging, projected canopy height, as a useful feature for indirectly following the kinetics of growth and water loss in a population of barley. A total of 47 variables including 15 traits and 32 biochemical metabolites measured (morphometric parameters, chlorophyll fluorescence imaging, quantification of stress-related metabolites; amino acids and polyamines, and enzymatic activities) were used to validate the method. The study allowed the identification of metabolites related to water stress response and recovery. Specifically, we found that cadaverine (Cad), 1,3-aminopropane (DAP), tryptamine (Tryp), and tyramine (Tyra) were the major contributors to the water stress response, whereas Cad, DAP, and Tyra, but not Tryp, remained at higher levels in the stressed plants even after rewatering. In this work, we designed, optimized and validated a non-invasive image-based method for automated screening of potential water stress tolerance genotypes in barley populations. We demonstrated the applicability of the method using transgenic barley lines with different sensitivity to drought stress showing that combining canopy height and the metabolite profile we can discriminate tolerant from sensitive genotypes. We showed that the projected canopy height a sensitive trait that truly reflects other invasively studied morphological, physiological, and metabolic traits and that our presented methodological setup can be easily applicable for large-scale screenings in low-cost systems equipped with a simple RGB camera. We believe that our approach will contribute to accelerate the study and understanding of the plant water stress response and recovery capacity in crops, such as barley.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10609 - Biochemical research methods
Result continuities
Project
<a href="/en/project/EF16_019%2F0000827" target="_blank" >EF16_019/0000827: Plants as a tool for sustainable global development</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
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
1664-462X
Volume of the periodical
10
Issue of the periodical within the volume
15 October 2019
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
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UT code for WoS article
000497669400001
EID of the result in the Scopus database
2-s2.0-85075840940