Steady-State Levels of Cytokinins and Their Derivatives May Serve as a Unique Classifier of Arabidopsis Ecotypes

Investor logo

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

SAMSONOVÁ Zuzana KIRAN Nagavalli Subbanna NOVÁK Ondřej SPYROGLOU Ioannis SKALÁK Jan HEJÁTKO Jan GLOSER Vít

Year of publication 2020
Type Article in Periodical
Magazine / Source Plants
MU Faculty or unit

Faculty of Science

Citation
Web https://doi.org/10.3390/plants9010116
Doi http://dx.doi.org/10.3390/plants9010116
Keywords abscisic acid; cytokinins; cytokinin glucosides; cytokinin metabolism; indole-3-acetic acid; single nucleotide polymorphism
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.