Fast chlorophyll fluorescence rise kinetics as a high-throughput diagnostic tool for evaluating the capacity of 2-amino-3-methylhexanoic acid at inducing plant resistance against high temperature

IF 4.5 2区 生物学 Q2 ENVIRONMENTAL SCIENCES Environmental and Experimental Botany Pub Date : 2024-11-12 DOI:10.1016/j.envexpbot.2024.106040
Jingjing Li , Haiou Liu , Yanjing Guo , Yuan Chang , Jing Zhang , He Wang , Qing Liu , Yu Ji , Zheng Zhang , Yujing Liu , Bernal E. Valverde , Shiguo Chen
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Abstract

Plant resistant induction is considered as a promising strategy for protecting crops against extreme high temperature (HT). However, a high-throughput method to accurately estimate the capacity of plant resistance inducers (PRIs) for HT resistance has not been developed. Here, we present a simple approach using fast chlorophyll fluorescence kinetics in Arabidopsis leaf discs to assess PRI efficacy in inducing HT resistance. Both 2-amino-3-methylhexanoic acid (AMHA) and salicylic acid (SA) significantly alleviated the temperature-dependent increase in the K-peak of the OJIP curve and variations in amplitude of heat-responsive JIP-test parameters within the elevated-temperature range of 25–42℃. The PIABS (performance index on absorption basis) and WK (relative variable fluorescence at the K-step to the amplitude FJ - FO) as two classical heat-responsive characteristic parameters were used to produce a novel hypersensitive parameter HT sensitivity indicator, PIABS/WK (named Hs). Based on the correlation of logHs with elevated temperatures, a model for quantifying the capacity of HT-resistance induction (called Ci) by AMHA or SA was established. A three-grade classification according to the Ci value was proposed as low (0< Ci ≤ 1℃), moderate (1℃ < Ci ≤ 2℃), and high resistance (Ci > 2℃). AMHA at 1 µM and SA at 100 µM had Ci values of 2.49℃ and 4.09℃ in Arabidopsis plants, respectively, associated with their high level of HT resistance induction. Additionally, the EC50 derived from the relative stimulation ratio (Kc) was also introduced as a quantitative index for measuring the ability of AMHA and SA to induce HT resistance. The EC50 value of AMHA is about 0.1 µM in Arabidopsis and 0.35 µM in tomato, being much lower than that of SA (approximately 63 µM in Arabidopsis). Thus, AMHA is a more potent plant inducer than SA. The model was validated through additional experimental evidence, demonstrating its reliability and applicability. This study provides an expeditious high-throughput method for screening promising PRI candidates.
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叶绿素荧光快速上升动力学作为评价2-氨基-3-甲基己酸诱导植物耐高温能力的高通量诊断工具
植物抗性诱导被认为是一种很有前途的保护作物抗极端高温的策略。然而,目前还没有一种高通量的方法来准确估计植物抗性诱导剂(pri)对高温抗性的能力。在这里,我们提出了一种简单的方法,利用拟南芥叶片的快速叶绿素荧光动力学来评估PRI诱导高温抗性的有效性。2-氨基-3-甲基己酸(AMHA)和水杨酸(SA)均显著缓解了25 ~ 42℃升温范围内OJIP曲线k峰的温度依赖性升高和jip测试参数热响应幅度的变化。利用PIABS(基于吸收的性能指标)和WK (k阶振幅为FJ - FO的相对可变荧光)这两个经典热响应特征参数,生成了一种新型的超敏参数高温灵敏度指标PIABS/WK(命名为Hs)。基于logHs与高温的相关性,建立了AMHA或SA诱导高温电阻能力(Ci)的量化模型。根据Ci值提出三级分类:low (0<;Ci≤1℃),中等(1℃<;Ci≤2℃),电阻高(Ci >;2℃)。1 µM AMHA和100 µM SA在拟南芥植株中的Ci值分别为2.49℃和4.09℃,具有较高的抗高温诱导水平。此外,还引入了由相对刺激比(Kc)得出的EC50作为衡量AMHA和SA诱导高温抗性能力的定量指标。AMHA在拟南芥中的EC50值约为0.1 µM,在番茄中的EC50值约为0.35 µM,远低于SA在拟南芥中的EC50值约为63 µM。因此,AMHA是一种比SA更有效的植物诱导剂。通过附加实验证据对模型进行了验证,验证了模型的可靠性和适用性。本研究提供了一种快速、高通量的方法来筛选有前途的PRI候选人。
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来源期刊
Environmental and Experimental Botany
Environmental and Experimental Botany 环境科学-环境科学
CiteScore
9.30
自引率
5.30%
发文量
342
审稿时长
26 days
期刊介绍: Environmental and Experimental Botany (EEB) publishes research papers on the physical, chemical, biological, molecular mechanisms and processes involved in the responses of plants to their environment. In addition to research papers, the journal includes review articles. Submission is in agreement with the Editors-in-Chief. The Journal also publishes special issues which are built by invited guest editors and are related to the main themes of EEB. The areas covered by the Journal include: (1) Responses of plants to heavy metals and pollutants (2) Plant/water interactions (salinity, drought, flooding) (3) Responses of plants to radiations ranging from UV-B to infrared (4) Plant/atmosphere relations (ozone, CO2 , temperature) (5) Global change impacts on plant ecophysiology (6) Biotic interactions involving environmental factors.
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