Project information
Signal integration and epigenetic reprograming for plant productivity
(SINGING PLANT)
- Project Identification
- CZ.02.1.01/0.0/0.0/16_026/0008446 (kod CEP: EF16_026/0008446)
- Project Period
- 7/2018 - 12/2022
- Investor / Pogramme / Project type
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Ministry of Education, Youth and Sports of the CR
- Operational Programme Research, Development and Education
- Priority axis 1: Strengthening capacities for high-quality research
- MU Faculty or unit
- Central European Institute of Technology
- Cooperating Organization
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Institute of Analytical Chemistry of the ASCR, v. v. i.
- Responsible person Ing. František Foret, DSc.
- Responsible person Ing. Martin Trtílek
The last food crisis in 60’s of the last century was successfully solved via innovative use of plant breeding, also called ‘the 1st green revolution’. Since that, the humankind is facing another severe challenge. Exponential population growth in a combination with delimited amount of arable land and stormy climate changes are threatening literally the basis of our civilization. Considering the recent prognosis predicting substantial deficit of food production as soon as in 2027, the onset of the ‘2nd green revolution’ must not be postponed.
The main goal of the project is to identify the key regulators allowing integration of environmental, hormonal and stress-related signalling pathways with epigenetic regulations as potential powerful targets useful in the generation of stress-resistant plants. The project aims to describe the genetic variability of key signalling pathways in Arabidopsis and selected crops. The information will be used for the targeted improvement of Brassica sp. and potato with ultimate goal to generate crops with higher survival and yield under (particularly drought) stress conditions.
To achieve the project objectives, we will employ the expertize of the project team in genetics, molecular biology, bioinformatics, analytical chemistry and engineering with up-to-date approaches in the plant phenotyping. The collaboration of academy (CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czech Republic) with local industrial partner (PSI - Photon Systems Instruments, Ltd., Drasov, Czech Republic) and key abroad collaborator (IPK - Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung, Gatersleben, Germany) will allow to maximize the mutual synergies generated in frame of the consortium and successfully solve all the project tasks.
Sustainable Development Goals
Masaryk University is committed to the UN Sustainable Development Goals, which aim to improve the conditions and quality of life on our planet by 2030.
Publications
Total number of publications: 69
2021
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Distinct Responses of Arabidopsis Telomeres and Transposable Elements to Zebularine Exposure
International Journal of Molecular Sciences, year: 2021, volume: 22, edition: 1, DOI
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Epitachophoretic preconcentration of proteins
Proceedings of the 17th International Students Conference “Modern Analytical Chemistry”, year: 2021
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Estimating canopy leaf physiology of tomato plants grown in a solar greenhouse: Evidence from simulations of light and thermal microclimate using a Functional-Structural Plant Model
Agricultural and Forest Meteorology, year: 2021, volume: 307, edition: SEP, DOI
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Fully-automated root image analysis (faRIA)
Nature Scientific Reports, year: 2021, volume: 11, edition: 1, DOI
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Investigating Combined Drought- and Heat Stress Effects in Wheat under Controlled Conditions by Dynamic Image-Based Phenotyping
AGRONOMY-BASEL, year: 2021, volume: 11, edition: 2, DOI
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Mixed Models as a Tool for Comparing Groups of Time Series in Plant Sciences
PLANTS-BASEL, year: 2021, volume: 10, edition: 2, DOI
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Nucleolar rDNA folds into condensed foci with a specific combination of epigenetic marks
Plant Journal, year: 2021, volume: 105, edition: 6, DOI
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Quantitative estimation of water status in field-grown wheat using beta mixed regression modelling based on fast chlorophyll fluorescence transients: A method for drought tolerance estimation
JOURNAL OF AGRONOMY AND CROP SCIENCE, year: 2021, volume: 207, edition: 4, DOI
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Semi-Automated Ground Truth Segmentation and Phenotyping of Plant Structures Using k-Means Clustering of Eigen-Colors (kmSeg)
AGRICULTURE-BASEL, year: 2021, volume: 11, edition: 11, DOI
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Signal Integration in Plant Abiotic Stress Responses via multistep Phosphorelay Signaling
Frontiers in Plant Science, year: 2021, volume: 12, edition: February, DOI