Department of Biochemistry, Faculty of Science, Palacky University, Šlechtitelů 27, Olomouc, CZ-779 00, Czechia.
Czech Advanced Technology and Research Institute-CATRIN, Palacky University, Šlechtitelů 27, Olomouc, CZ-779 00, Czechia.
Plant J. 2024 Oct;120(2):818-832. doi: 10.1111/tpj.17010. Epub 2024 Sep 2.
Plant hormones are chemical signals governing almost every aspect of a plant's life cycle and responses to environmental cues. They are enmeshed within complex signaling networks that can only be deciphered by using broad-scale analytical methods to capture information about several plant hormone classes simultaneously. Methods used for this purpose are all based on reversed-phase (RP) liquid chromatography and mass spectrometric detection. Hydrophilic interaction chromatography (HILIC) is an alternative chromatographic method that performs well in analyses of biological samples. We therefore developed and validated a HILIC method for broad-scale plant hormone analysis including a rapid sample preparation procedure; moreover, derivatization or fractionation is not required. The method enables plant hormone screening focused on polar and moderately polar analytes including cytokinins, auxins, jasmonates, abscisic acid and its metabolites, salicylates, indoleamines (melatonin), and 1-aminocyclopropane-1-carboxylic acid (ACC), for a total of 45 analytes. Importantly, the major pitfalls of ACC analysis have been addressed. Furthermore, HILIC provides orthogonal selectivity to conventional RP methods and displays greater sensitivity, resulting in lower limits of quantification. However, it is less robust, so procedures to increase its reproducibility were established. The method's potential is demonstrated in a case study by employing an approach combining hormonal analysis with phenomics to examine responses of three Arabidopsis ecotypes toward three abiotic stress treatments: salinity, low nutrient availability, and their combination. The case study showcases the value of the simultaneous determination of several plant hormone classes coupled with phenomics data when unraveling processes involving complex cross-talk under diverse plant-environment interactions.
植物激素是调控植物生命周期和环境信号响应的化学信号。它们被包裹在复杂的信号网络中,只有通过使用大规模分析方法来同时获取几种植物激素类别的信息,才能破译这些信号网络。为此目的而使用的方法均基于反相(RP)液相色谱和质谱检测。亲水相互作用色谱(HILIC)是一种替代的色谱方法,在生物样本分析中表现出色。因此,我们开发并验证了一种用于广泛的植物激素分析的 HILIC 方法,包括快速的样品制备程序;此外,不需要衍生化或分级。该方法能够对包括细胞分裂素、生长素、茉莉酸、脱落酸及其代谢物、水杨酸、吲哚胺(褪黑素)和 1-氨基环丙烷-1-羧酸(ACC)在内的极性和中等极性分析物进行植物激素筛选,总共可分析 45 种分析物。重要的是,已经解决了 ACC 分析的主要难题。此外,HILIC 提供了与常规 RP 方法的正交选择性,并显示出更高的灵敏度,从而降低了定量下限。然而,它的稳健性较差,因此建立了提高其重现性的程序。该方法在一个案例研究中得到了证明,该研究采用了一种将激素分析与表型分析相结合的方法,研究了三个拟南芥生态型对三种非生物胁迫处理(盐度、低养分供应及其组合)的响应。该案例研究展示了当涉及到不同植物-环境相互作用下的复杂交叉对话时,同时确定几种植物激素类别与表型数据相结合的价值。