BALAKHONOVA, Veronika, Tereza DOBISOVÁ, Zuzana BENEDIKTY, Klara PANZAROVA, Jaromir PYTELA, Radka KOCI, Ioannis SPYROGLOU, Ingrid KOVÁČOVÁ, Dominique ARNAUD, Jan SKALÁK, Martin TRTILEK and Jan HEJÁTKO. iReenCAM: automated imaging system for kinetic analysis of photosynthetic pigment biosynthesis at high spatiotemporal resolution during early deetiolation. Frontiers in Plant Science. Frontiers Media SA, 2023, vol. 14, April, p. 1-15. ISSN 1664-462X. Available from: https://dx.doi.org/10.3389/fpls.2023.1093292.
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Basic information
Original name iReenCAM: automated imaging system for kinetic analysis of photosynthetic pigment biosynthesis at high spatiotemporal resolution during early deetiolation
Authors BALAKHONOVA, Veronika (643 Russian Federation, belonging to the institution), Tereza DOBISOVÁ (203 Czech Republic, belonging to the institution), Zuzana BENEDIKTY, Klara PANZAROVA, Jaromir PYTELA, Radka KOCI, Ioannis SPYROGLOU (300 Greece, belonging to the institution), Ingrid KOVÁČOVÁ (703 Slovakia, belonging to the institution), Dominique ARNAUD (250 France, belonging to the institution), Jan SKALÁK (203 Czech Republic, belonging to the institution), Martin TRTILEK and Jan HEJÁTKO (203 Czech Republic, guarantor, belonging to the institution).
Edition Frontiers in Plant Science, Frontiers Media SA, 2023, 1664-462X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 5.600 in 2022
RIV identification code RIV/00216224:14740/23:00132886
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.3389/fpls.2023.1093292
UT WoS 000982095900001
Keywords in English de-etiolation; chlorophyll biosynthesis; fluorescence; iReenCAM; cytokinins; ethylene; Arabidopsis
Tags CF PLANT, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 18/3/2024 14:50.
Abstract
Seedling de-etiolation is one of the key stages of the plant life cycle, characterized by a strong rearrangement of the plant development and metabolism. The conversion of dark accumulated protochlorophyllide to chlorophyll in etioplasts of de-etiolating plants is taking place in order of ns to mu s after seedlings illumination, leading to detectable increase of chlorophyll levels in order of minutes after de-etiolation initiation. The highly complex chlorophyll biosynthesis integrates number of regulatory events including light and hormonal signaling, thus making de-etiolation an ideal model to study the underlying molecular mechanisms. Here we introduce the iReenCAM, a novel tool designed for non-invasive fluorescence-based quantitation of early stages of chlorophyll biosynthesis during de-etiolation with high spatial and temporal resolution. iReenCAM comprises customized HW configuration and optimized SW packages, allowing synchronized automated measurement and analysis of the acquired fluorescence image data. Using the system and carefully optimized protocol, we show tight correlation between the iReenCAM monitored fluorescence and HPLC measured chlorophyll accumulation during first 4h of seedling de-etiolation in wild type Arabidopsis and mutants with disturbed chlorophyll biosynthesis. Using the approach, we demonstrate negative effect of exogenously applied cytokinins and ethylene on chlorophyll biosynthesis during early de-etiolation. Accordingly, we identify type-B response regulators, the cytokinin-responsive transcriptional activators ARR1 and ARR12 as negative regulators of early chlorophyll biosynthesis, while contrasting response was observed in case of EIN2 and EIN3, the components of canonical ethylene signaling cascade. Knowing that, we propose the use of iReenCAM as a new phenotyping tool, suitable for quantitative and robust characterization of the highly dynamic response of seedling de-etiolation.
Links
EF16_026/0008446, research and development projectName: Integrace signálu a epigenetické reprogramování pro produktivitu rostlin
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