Steady-state levels of cytokinins and their derivatives may serve as a unique classifier of arabidopsis ecotypes

0523574 - ÚEB 2020 RIV CH eng J - Journal Article
Samsonová, Z. - Kiran, N.S. - Novák, Ondřej - Spyroglou, I. - Skalák, J. - Hejátko, J. - Gloser, V.
Steady-state levels of cytokinins and their derivatives may serve as a unique classifier of arabidopsis ecotypes.
Plants. Roč. 9, č. 1 (2020), č. článku 116. E-ISSN 2223-7747
R&D Projects: GA MŠMT(CZ) LO1204
Institutional support: RVO:61389030
Keywords : Abscisic acid * Cytokinin glucosides * Cytokinin metabolism * Cytokinins * Indole-3-acetic acid * Single nucleotide polymorphism
OECD category: GM technology (crops and livestock), livestock cloning, marker assisted selection, diagnostics (DNA chips and biosensing devices for the early/accurate detection of diseases) biomass feedstock production technologies, biopharming
Impact factor: 3.935, year: 2020
Method of publishing: Open access
http://doi.org/10.3390/plants9010116

We determined steady-state (basal) endogenous levels of three plant hormones (abscisic acid, cytokinins and indole-3-acetic acid) in a collection of thirty different ecotypes of Arabidopsis that represent a broad genetic variability within this species. Hormone contents were analysed separately in plant shoots and roots after 21 days of cultivation on agar plates in a climate-controlled chamber. Using advanced statistical and machine learning methods, we tested if basal hormonal levels can be considered a unique ecotype-specific classifier. We also explored possible relationships between hormone levels and the prevalent environmental conditions in the site of origin for each ecotype. We found significant variations in basal hormonal levels and their ratios in both root and shoot among the ecotypes. We showed the prominent position of cytokinins (CK) among the other hormones. We found the content of CK and CK metabolites to be a reliable ecotype-specific identifier. Correlation with the mean temperature at the site of origin and the large variation in basal hormonal levels suggest that the high variability may potentially be in response to environmental factors. This study provides a starting point for ecotype-specific genetic maps of the CK metabolic and signalling network to explore its contribution to the adaptation of plants to local environmental conditions.
Permanent Link: http://hdl.handle.net/11104/0307916