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细胞分裂素及其衍生物的稳态水平可能作为拟南芥生态型的独特分类指标。

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

作者信息

Samsonová Zuzana, Kiran Nagavalli S, Novák Ondřej, Spyroglou Ioannis, Skalák Jan, Hejátko Jan, Gloser Vít

机构信息

Department of Experimental Biology, Faculty of Science, Masaryk University Kamenice 5, Brno 62500, Czech Republic.

Faculty of Science, Palacký University and Laboratory of Growth Regulators, Institute of Experimental Botany, The Czech Academy of Sciences, Šlechtitelů 27, Olomouc 78371, Czech Republic.

出版信息

Plants (Basel). 2020 Jan 17;9(1):116. doi: 10.3390/plants9010116.

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 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.

摘要

我们测定了代表该物种广泛遗传变异性的三十种不同生态型的三种植物激素(脱落酸、细胞分裂素和吲哚 - 3 - 乙酸)的稳态(基础)内源性水平。在气候控制室内的琼脂平板上培养21天后,分别分析了植物地上部分和根部的激素含量。使用先进的统计和机器学习方法,我们测试了基础激素水平是否可被视为独特的生态型特异性分类器。我们还探讨了激素水平与每种生态型原产地普遍环境条件之间的可能关系。我们发现不同生态型之间根和地上部分的基础激素水平及其比率存在显著差异。我们展示了细胞分裂素(CK)在其他激素中的突出地位。我们发现CK及其代谢物的含量是可靠的生态型特异性标识符。与原产地平均温度的相关性以及基础激素水平的巨大差异表明,这种高变异性可能是对环境因素的响应。本研究为CK代谢和信号网络的生态型特异性遗传图谱提供了一个起点,以探索其对植物适应当地环境条件的贡献。

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