SAMSONOVÁ, Zuzana, Nagavalli Subbanna KIRAN, Ondřej NOVÁK, Ioannis SPYROGLOU, Jan SKALÁK, Jan HEJÁTKO and Vít GLOSER. Steady-State Levels of Cytokinins and Their Derivatives May Serve as a Unique Classifier of Arabidopsis Ecotypes. Plants. Basel: MDPI, 2020, vol. 9, No 1, p. 1-17. ISSN 2223-7747. Available from: https://dx.doi.org/10.3390/plants9010116.
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Basic information
Original name Steady-State Levels of Cytokinins and Their Derivatives May Serve as a Unique Classifier of Arabidopsis Ecotypes
Authors SAMSONOVÁ, Zuzana (203 Czech Republic, belonging to the institution), Nagavalli Subbanna KIRAN (203 Czech Republic, belonging to the institution), Ondřej NOVÁK (203 Czech Republic), Ioannis SPYROGLOU (300 Greece, belonging to the institution), Jan SKALÁK (203 Czech Republic, belonging to the institution), Jan HEJÁTKO (203 Czech Republic, belonging to the institution) and Vít GLOSER (203 Czech Republic, guarantor, belonging to the institution).
Edition Plants, Basel, MDPI, 2020, 2223-7747.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10611 Plant sciences, botany
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.935
RIV identification code RIV/00216224:14310/20:00115209
Organization unit Faculty of Science
Doi http://dx.doi.org/10.3390/plants9010116
UT WoS 000513238700116
Keywords in English abscisic acid; cytokinins; cytokinin glucosides; cytokinin metabolism; indole-3-acetic acid; single nucleotide polymorphism
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 25/11/2020 13:00.
Abstract
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.
Links
EF16_026/0008446, research and development projectName: Integrace signálu a epigenetické reprogramování pro produktivitu rostlin
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