ArticlePlant methods2016
A rapid approach to investigate spatiotemporal distribution of phytohormones in rice.
Article in Plant methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Development of an Ultrahigh-Performance Liquid Chromatography-Triple Quadrupole Mass Spectrometry Method for Multiclass Phytohormone Quantification Via Multifunctional Chemical Derivatization.Journal of agricultural and food chemistry · 2026Article
- Label-Free Rapid Quantification of Abscisic Acid in Xylem Sap Samples Using Surface Plasmon Resonance.Biosensors · 2025Article
- Transcriptome and Metabolome Analyses Reveal a Complex Stigma Microenvironment for Pollen Tube Growth in Tobacco.International journal of molecular sciences · 2024Article
- Two Carya Species,Plants (Basel, Switzerland) · 2024Article
- Can plant hormonomics be built on simple analysis? A review.Plant methods · 2023Review
- Effects of Drought and Flooding on Phytohormones and Abscisic Acid Gene Expression in Kiwifruit.International journal of molecular sciences · 2023Article
- Comparative Study of Three Biological Control Agents and Two Conventional Fungicides against Coriander Damping-off and Root Rot Caused byPlants (Basel, Switzerland) · 2023Article
- Exogenous abscisic acid and sugar induce a cascade of ripening events associated with anthocyanin accumulation in cultured Pinot Noir grape berries.Frontiers in plant science · 2023Article
- Review
- [Novel adsorption material for solid phase extraction in sample pretreatment of plant hormones].Se pu = Chinese journal of chromatography · 2021Article
- Elevating Ascorbate in Arabidopsis Stimulates the Production of Abscisic Acid, Phaseic Acid, and to a Lesser Extent Auxin (IAA) and Jasmonates, Resulting in Increased Expression ofInternational journal of molecular sciences · 2021Article
- Dynamics of Auxin and Cytokinin Metabolism during Early Root and Hypocotyl Growth inPlants (Basel, Switzerland) · 2021Article
- Recent developments and emerging trends of mass spectrometric methods in plant hormone analysis: a review.Plant methods · 2020Review
- SEED CAROTENOID DEFICIENT Functions in Isoprenoid Biosynthesis via the Plastid MEP Pathway.Plant physiology · 2019Article
- Plant Hormonomics: Multiple Phytohormone Profiling by Targeted Metabolomics.Plant physiology · 2018Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhytohormones play crucial roles in almost all stages of plant growth and development. Accurate and simultaneous determination of multiple phytohormones enabled us to better understand the physiological functions and the regulatory networks of phytohormones. However, simultaneous determination of multiple phytohormones in plant is still a challenge due to their low concentrations, structural and chemical diversity, and complex matrix of plant tissues. Therefore, development of a simple and selective method for the simultaneous determination of multiple phytohormones is highly needed.
resultsWe developed a clean-up strategy for profiling of multiple phytohormones, which can overcome the challenge of structural and chemical diversity. By using a one-step dispersive solid-phase extraction (DSPE) combined with UPLC-MS/MS, 54 phytohormones including auxins, ABA, SA, JA, GAs and CKs were simultaneously analyzed from a single rice sample extract. Using the developed method, we investigated the spatiotemporal distribution of phytohormones in rice. The profiling of various tissues of rice at different growth stages revealed the complexity of metabolic regulation and allocations of phytohormone species.
conclusionA rapid one-step method was developed for the simultaneous analysis of six groups of phytohormones, including cytokinins, auxins, salicylic acid, jasmonates, abscisic acid and gibberellins in a single run, using UPLC-ESI-MS/MS. The proposed method was successfully applied to investigate spatiotemporal distribution of multiple phytohormones in rice. The spatiotemporal information obtained may be helpful for better understanding of phytohormones functions throughout life cycle of rice when integrated into transcriptome and other omics data.
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