A Tailored High-Efficiency Sample Pretreatment Method for Simultaneous Quantification of 10 Classes of Known Endogenous Phytohormones.
A Tailored High-Efficiency Sample Pretreatment Method for Simultaneous Quantification of 10 Classes of Known Endogenous Phytohormones.
复制标题
定制的高效样品前处理方法，可同时定量 10 类已知内源植物激素
DOI：
10.1016/j.xplc.2020.100047
复制
发表时间：
2020-05-11
影响因子：
10.5
通讯作者：
Chu J
中科院分区：
文献类型：
--
作者：
Xin P;Guo Q;Li B;Cheng S;Yan J;Chu J
植物激素生物学中最热门的话题之一是串扰机制，即多种植物激素通过信号网络相互作用。为了更好地理解激素串扰在其复杂的调控网络中的作用，同时研究来自同一植物组织样品的多种植物激素的时空分布具有重要意义。在这项研究中，我们开发了一种高灵敏度和高通量的方法，用于同时定量分析44种植物激素化合物，涵盖目前已知的10种主要植物激素（独脚金内酯、油菜素内酯、赤霉素、生长素、脱落酸、茉莉酸、水杨酸、细胞分裂素、乙烯和多肽激素[例如，phytosulfokine]）。这些化合物进行分组和纯化，分别与定制的固相萃取程序的基础上，他们的物理化学性质，然后通过LC-MS/MS分析。我们的方法的回收率范围从49.6%到99.9%和基质效应从61.8%到102.5%，表明整体样品预处理设计，导致良好的净化。该方法的定量限为0.06 ~ 1.29 pg/100 mg鲜重，精密度小于13.4%，灵敏度高，重现性好。我们的方法在不同的植物基质中的测试证明了其广泛的适用性。总的来说，这些优点将使我们的方法有助于澄清植物激素的串扰网络。可靠的同时定量多种植物生长因子对于研究它们的串扰是重要的。本研究采用量身定制的高效样品前处理方法，建立了一种高灵敏度、高通量的同时定量分析10种植物激素的方法。
One of the hottest topics in plant hormone biology is the crosstalk mechanisms, whereby multiple classes of phytohormones interplay with each other through signaling networks. To better understand the roles of hormonal crosstalks in their complex regulatory networks, it is of high significance to investigate the spatial and temporal distributions of multiple -phytohormones simultaneously from one plant tissue sample. In this study, we develop a high-sensitivity and high-throughput method for the simultaneous quantitative analysis of 44 phytohormone compounds, covering currently known 10 major classes of phytohormones (strigolactones, brassinosteroids, gibberellins, auxin, abscisic acid, jasmonic acid, salicylic acid, cytokinins, ethylene, and polypeptide hormones [e.g., phytosulfokine]) from only 100 mg of plant sample. These compounds were grouped and purified separately with a tailored solid-phase extraction procedure based on their physicochemical properties and then analyzed by LC–MS/MS. The recoveries of our method ranged from 49.6% to 99.9% and the matrix effects from 61.8% to 102.5%, indicating that the overall sample pretreatment design resulted in good purification. The limits of quantitation (LOQs) of our method ranged from 0.06 to 1.29 pg/100 mg fresh weight and its precision was less than 13.4%, indicating high sensitivity and good reproducibility of the method. Tests of our method in different plant matrices demonstrated its wide applicability. Collectively, these advantages will make our method helpful in clarifying the crosstalk networks of phytohormones. Reliable simultaneous quantification of multiple phytohormoness is important for studying their crosstalks. With a tailored high-efficiency sample pretreatment method, a high-sensitivity and high-throughput approach is developed for simultaneous quantitative analysis of 10 currently known classes of phytohormones in this study.
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DOI：
10.1016/b978-0-12-811562-6.00011-6
发表时间：
2017-01-01
期刊：
HORMONE METABOLISM AND SIGNALING IN PLANTS
影响因子：
--
作者：
Song, Xiu-Fen;Ren, Shi-Chao;Liu, Chun-Ming
通讯作者：
Liu, Chun-Ming
影响因子：
4.2
作者：
Luisi, Alessandro;Lorenzi, Roberto;Sorce, Carlo
通讯作者：
Sorce, Carlo
影响因子：
6.2
作者：
Luo, Xiao-Tong;Cai, Bao-Dong;Feng, Yu-Qi
通讯作者：
Feng, Yu-Qi
DOI：
10.1016/b978-0-12-811562-6.00001-3
发表时间：
2017-01-01
期刊：
HORMONE METABOLISM AND SIGNALING IN PLANTS
影响因子：
--
作者：
Smith, Steven M.;Li, Chuanyou;Li, Jiayang
通讯作者：
Li, Jiayang
影响因子：
7.4
作者：
Weiss, David;Ori, Naomi
通讯作者：
Ori, Naomi