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Erland LA. Views and perspectives on the indoleamines serotonin and melatonin in plants: past, present and future. PLANT SIGNALING & BEHAVIOR 2024; 19:2366545. [PMID: 38899558 PMCID: PMC11195476 DOI: 10.1080/15592324.2024.2366545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024]
Abstract
In the decades since their discovery in plants in the mid-to-late 1900s, melatonin (N-acetyl-5-methoxytryptamine) and serotonin (5-methoxytryptamine) have been established as their own class of phytohormone and have become popular targets for examination and study as stress ameliorating compounds. The indoleamines play roles across the plant life cycle from reproduction to morphogenesis and plant environmental perception. There is growing interest in harnessing the power of these plant neurotransmitters in applied and agricultural settings, particularly as we face increasingly volatile climates for food production; however, there is still a lot to learn about the mechanisms of indoleamine action in plants. A recent explosion of interest in these compounds has led to exponential growth in the field of melatonin research in particular. This concept paper aims to summarize the current status of indoleamine research and highlight some emerging trends.
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Shi A, Xu J, Shao Y, Alwathnani H, Rensing C, Zhang J, Xing S, Ni W, Zhang L, Yang W. Salicylic Acid's impact on Sedum alfredii growth and cadmium tolerance: Comparative physiological, transcriptomic, and metabolomic study. ENVIRONMENTAL RESEARCH 2024; 252:119092. [PMID: 38729407 DOI: 10.1016/j.envres.2024.119092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/05/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024]
Abstract
With the acceleration of industrialization, Cd pollution has emerged as a major threat to soil ecosystem health and food safety. Hyperaccumulating plants like Sedum alfredii Hance are considered to be used as part of an effective strategy for the ecological remediation of Cd polluted soils. This study delved deeply into the physiological, transcriptomic, and metabolomic responses of S. alfredii under cadmium (Cd) stress when treated with exogenous salicylic acid (SA). We found that SA notably enhanced the growth of S. alfredii and thereby increased absorption and accumulation of Cd, effectively alleviating the oxidative stress caused by Cd through upregulation of the antioxidant system. Transcriptomic and metabolomic data further unveiled the influence of SA on photosynthesis, antioxidant defensive mechanisms, and metal absorption enrichment pathways. Notably, the interactions between SA and other plant hormones, especially IAA and JA, played a central role in these processes. These findings offer us a comprehensive perspective on understanding how to enhance the growth and heavy metal absorption capabilities of hyperaccumulator plants by regulating plant hormones, providing invaluable strategies for future environmental remediation efforts.
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Affiliation(s)
- An Shi
- Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Provincial University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Junlong Xu
- Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Provincial University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Yudie Shao
- Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Provincial University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Hend Alwathnani
- Department of Botany and Microbiology, King Saud University, Riyadh, Saudi Arabia
| | - Christopher Rensing
- Department of Environmental Microbiology, Fujian Agriculture & Forestry University, Fuzhou, 350002, China
| | - JinLin Zhang
- Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Center for Grassland Microbiome, State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China
| | - Shihe Xing
- Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Provincial University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Wuzhong Ni
- College of Environment and Resources, Zhejiang University, Hangzhou, 310058, China
| | - Liming Zhang
- Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Provincial University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
| | - Wenhao Yang
- Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Provincial University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
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Holden CA, McAinsh MR, Taylor JE, Beckett P, Albacete A, Martínez-Andújar C, Morais CLM, Martin FL. Attenuated total reflection Fourier-transform infrared spectroscopy for the prediction of hormone concentrations in plants. Analyst 2024; 149:3380-3395. [PMID: 38712606 DOI: 10.1039/d3an01817b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Plant hormones are important in the control of physiological and developmental processes including seed germination, senescence, flowering, stomatal aperture, and ultimately the overall growth and yield of plants. Many currently available methods to quantify such growth regulators quickly and accurately require extensive sample purification using complex analytic techniques. Herein we used ultra-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) to create and validate the prediction of hormone concentrations made using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectral profiles of both freeze-dried ground leaf tissue and extracted xylem sap of Japanese knotweed (Reynoutria japonica) plants grown under different environmental conditions. In addition to these predictions made with partial least squares regression, further analysis of spectral data was performed using chemometric techniques, including principal component analysis, linear discriminant analysis, and support vector machines (SVM). Plants grown in different environments had sufficiently different biochemical profiles, including plant hormonal compounds, to allow successful differentiation by ATR-FTIR spectroscopy coupled with SVM. ATR-FTIR spectral biomarkers highlighted a range of biomolecules responsible for the differing spectral signatures between growth environments, such as triacylglycerol, proteins and amino acids, tannins, pectin, polysaccharides such as starch and cellulose, DNA and RNA. Using partial least squares regression, we show the potential for accurate prediction of plant hormone concentrations from ATR-FTIR spectral profiles, calibrated with hormonal data quantified by UHPLC-HRMS. The application of ATR-FTIR spectroscopy and chemometrics offers accurate prediction of hormone concentrations in plant samples, with advantages over existing approaches.
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Affiliation(s)
- Claire A Holden
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
| | - Martin R McAinsh
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
| | - Jane E Taylor
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
| | | | - Alfonso Albacete
- Institute for Agro-Environmental Research and Development of Murcia (IMIDA), Department of Plant Production and Agrotechnology, C/ Mayor s/n, La Alberca, E-30150 Murcia, Spain
- CEBAS-CSIC, Department of Plant Nutrition, Campus Universitario de Espinardo, E-30100 Murcia, Spain
| | | | - Camilo L M Morais
- Center for Education, Science and Technology of the Inhamuns Region, State University of Ceará, Tauá 63660-000, Brazil
- Graduate Program in Chemistry, Institute of Chemistry, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil
| | - Francis L Martin
- Department of Cellular Pathology, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool FY3 8NR, UK.
- Biocel UK Ltd, Hull HU10 6TS, UK
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Vrobel O, Tarkowski P. Can plant hormonomics be built on simple analysis? A review. PLANT METHODS 2023; 19:107. [PMID: 37833752 PMCID: PMC10576392 DOI: 10.1186/s13007-023-01090-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/08/2023] [Indexed: 10/15/2023]
Abstract
The field of plant hormonomics focuses on the qualitative and quantitative analysis of the hormone complement in plant samples, akin to other omics sciences. Plant hormones, alongside primary and secondary metabolites, govern vital processes throughout a plant's lifecycle. While active hormones have received significant attention, studying all related compounds provides valuable insights into internal processes. Conventional single-class plant hormone analysis employs thorough sample purification, short analysis and triple quadrupole tandem mass spectrometry. Conversely, comprehensive hormonomics analysis necessitates minimal purification, robust and efficient separation and better-performing mass spectrometry instruments. This review summarizes the current status of plant hormone analysis methods, focusing on sample preparation, advances in chromatographic separation and mass spectrometric detection, including a discussion on internal standard selection and the potential of derivatization. Moreover, current approaches for assessing the spatiotemporal distribution are evaluated. The review touches on the legitimacy of the term plant hormonomics by exploring the current status of methods and outlining possible future trends.
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Affiliation(s)
- Ondřej Vrobel
- Department of Biochemistry, Faculty of Science, Palacky University, Olomouc, Czech Republic
- Czech Advanced Technology and Research Institute, Palacky University, Olomouc, Czech Republic
- Department of Genetic Resources for Vegetables, Medicinal and Special Plants, Crop Research Institute, Olomouc, Czech Republic
| | - Petr Tarkowski
- Czech Advanced Technology and Research Institute, Palacky University, Olomouc, Czech Republic.
- Department of Genetic Resources for Vegetables, Medicinal and Special Plants, Crop Research Institute, Olomouc, Czech Republic.
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Long ZG, Le JV, Katz BB, Lopez BG, Tenenbaum ED, Semmling B, Schmidt RJ, Grün F, Butts CT, Martin RW. Spatially resolved detection of small molecules from press-dried plant tissue using MALDI imaging. APPLICATIONS IN PLANT SCIENCES 2023; 11:e11539. [PMID: 37915436 PMCID: PMC10617318 DOI: 10.1002/aps3.11539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 11/03/2023]
Abstract
Premise Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a chemical imaging method that can visualize spatial distributions of particular molecules. Plant tissue imaging has so far mostly used cryosectioning, which can be impractical for the preparation of large-area imaging samples, such as full flower petals. Imaging unsectioned plant tissue presents its own difficulties in extracting metabolites to the surface due to the waxy cuticle. Methods We address this by using established delipidation techniques combined with a solvent vapor extraction prior to applying the matrix with many low-concentration sprays. Results Using this procedure, we imaged tissue from three different plant species (two flowers and one carnivorous plant leaf). Material factorization analysis of the resulting data reveals a wide range of plant-specific small molecules with varying degrees of localization to specific portions of the tissue samples, while facilitating detection and removal of signal from background sources. Conclusions This work demonstrates applicability of MALDI-MSI to press-dried plant samples without freezing or cryosectioning, setting the stage for spatially resolved molecule identification. Increased mass resolution and inclusion of tandem mass spectrometry are necessary next steps to allow more specific and reliable compound identification.
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Affiliation(s)
- Zane G. Long
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | - Jonathan V. Le
- Department of Molecular Biology and BiochemistryUniversity of CaliforniaIrvineCalifornia92697‐3900USA
| | - Benjamin B. Katz
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | - Belen G. Lopez
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | | | - Bonnie Semmling
- The Chrysler Herbarium and Mycological Collection, School of Environmental and Biological SciencesRutgers UniversityNew BrunswickNew Jersey08901USA
| | - Ryan J. Schmidt
- Department of Ecology, Evolution, and Natural ResourcesRutgers UniversityNew BrunswickNew Jersey08901USA
| | - Felix Grün
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | - Carter T. Butts
- Departments of Sociology, Statistics, Computer Science, and Electrical Engineering and Computer ScienceUniversity of CaliforniaIrvineCalifornia92697USA
| | - Rachel W. Martin
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
- Department of Molecular Biology and BiochemistryUniversity of CaliforniaIrvineCalifornia92697‐3900USA
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Guo X, Wang X, Tian C, Dai J, Zhao Z, Duan Y. Development of mass spectrometry imaging techniques and its latest applications. Talanta 2023; 264:124721. [PMID: 37271004 DOI: 10.1016/j.talanta.2023.124721] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 05/03/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
Mass spectrometry imaging (MSI) is a novel molecular imaging technology that collects molecular information from the surface of samples in situ. The spatial distribution and relative content of various compounds can be visualized simultaneously with high spatial resolution. The prominent advantages of MSI promote the active development of ionization technology and its broader applications in diverse fields. This article first gives a brief introduction to the vital parts of the processes during MSI. On this basis, provides a comprehensive overview of the most relevant MS-based imaging techniques from their mechanisms, pros and cons, and applications. In addition, a critical issue in MSI, matrix effects is also discussed. Then, the representative applications of MSI in biological, forensic, and environmental fields in the past 5 years have been summarized, with a focus on various types of analytes (e.g., proteins, lipids, polymers, etc.) Finally, the challenges and further perspectives of MSI are proposed and concluded.
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Affiliation(s)
- Xing Guo
- College of Chemistry and Material Science, Northwest University, Xi'an, 710069, PR China
| | - Xin Wang
- College of Chemistry and Material Science, Northwest University, Xi'an, 710069, PR China
| | - Caiyan Tian
- College of Life Science, Sichuan University, Chengdu, 610064, PR China
| | - Jianxiong Dai
- Aliben Science and Technology Company Limited, Chengdu, 610064, PR China
| | | | - Yixiang Duan
- College of Chemistry and Material Science, Northwest University, Xi'an, 710069, PR China; Research Center of Analytical Instrumentation, Sichuan University, Chengdu, 610064, PR China.
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Cai MT, Zhou Y, Ding WL, Huang YH, Ren YS, Yang ZY, Zhang L, Sun F, Guo HB, Zhou LY, Gong ZH, Piao XH, Wang SM, Ge YW. Identification and localization of morphological feature-specific metabolites in Reynoutria multiflora roots. PHYTOCHEMISTRY 2023; 206:113527. [PMID: 36460140 DOI: 10.1016/j.phytochem.2022.113527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Reynoutria multiflora roots are a classical herbal medicine with unique nourishing therapeutic effects. Anomalous vascular bundle (AVB) forming "cloudy brocade patterns" is a typical morphological feature of R. multiflora roots and has been empirically linked to its quality classification. However, scientific evidence, especially for AVB-specific specialised metabolites, has not been comprehensively revealed thus far. Herein, desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) analysis was applied to carry out an in situ analysis of specialised metabolites distributed specifically at the AVB and cork of R. multiflora roots. To enlarge the scope of compounds by DESI detection, various solvent systems including acetone, acetonitrile, methanol, and water were used to assist in the discoveries of 40 specialised metabolites with determined localization. A series of bioactive constituents including stilbenes, flavonoids, anthraquinones, alkaloids, and naphthalenes were found specifically around the brocade patterns. Notably, phospholipids were detected from R. multiflora roots by in situ analysis for the first time and were found mainly in the phloem of AVB (PAB). This is the first study to use gradient solvent systems in DESI-MSI analysis to locate the specialised metabolites distribution. The discovery of feature-specific compounds will bridge the empirical identification to precision quality control of R. multiflora roots.
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Affiliation(s)
- Meng-Ting Cai
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Yu Zhou
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Wen-Luan Ding
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Yu-Hong Huang
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Ying-Shan Ren
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Zhi-You Yang
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Lei Zhang
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Fei Sun
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Hai-Biao Guo
- Hutchison Whampoa Guangzhou Baiyunshan Chinese Medicine Co., Ltd, Guangzhou, 510515, China
| | - Liang-Yun Zhou
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Zhi-Hong Gong
- Waters Technology (Shanghai) Co. Ltd., Shanghai, 200120, China
| | - Xiu-Hong Piao
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
| | - Shu-Mei Wang
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
| | - Yue-Wei Ge
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of National Administration of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
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Acién JM, Cañizares E, Candela H, González-Guzmán M, Arbona V. From Classical to Modern Computational Approaches to Identify Key Genetic Regulatory Components in Plant Biology. Int J Mol Sci 2023; 24:ijms24032526. [PMID: 36768850 PMCID: PMC9916757 DOI: 10.3390/ijms24032526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/19/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
The selection of plant genotypes with improved productivity and tolerance to environmental constraints has always been a major concern in plant breeding. Classical approaches based on the generation of variability and selection of better phenotypes from large variant collections have improved their efficacy and processivity due to the implementation of molecular biology techniques, particularly genomics, Next Generation Sequencing and other omics such as proteomics and metabolomics. In this regard, the identification of interesting variants before they develop the phenotype trait of interest with molecular markers has advanced the breeding process of new varieties. Moreover, the correlation of phenotype or biochemical traits with gene expression or protein abundance has boosted the identification of potential new regulators of the traits of interest, using a relatively low number of variants. These important breakthrough technologies, built on top of classical approaches, will be improved in the future by including the spatial variable, allowing the identification of gene(s) involved in key processes at the tissue and cell levels.
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Affiliation(s)
- Juan Manuel Acién
- Departament de Biologia, Bioquímica i Ciències Naturals, Universitat Jaume I, 12071 Castelló de la Plana, Spain
| | - Eva Cañizares
- Departament de Biologia, Bioquímica i Ciències Naturals, Universitat Jaume I, 12071 Castelló de la Plana, Spain
| | - Héctor Candela
- Instituto de Bioingeniería, Universidad Miguel Hernández, 03202 Elche, Spain
| | - Miguel González-Guzmán
- Departament de Biologia, Bioquímica i Ciències Naturals, Universitat Jaume I, 12071 Castelló de la Plana, Spain
- Correspondence: (M.G.-G.); (V.A.); Tel.: +34-964-72-9415 (M.G.-G.); +34-964-72-9401 (V.A.)
| | - Vicent Arbona
- Departament de Biologia, Bioquímica i Ciències Naturals, Universitat Jaume I, 12071 Castelló de la Plana, Spain
- Correspondence: (M.G.-G.); (V.A.); Tel.: +34-964-72-9415 (M.G.-G.); +34-964-72-9401 (V.A.)
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Integration of Electrical Signals and Phytohormones in the Control of Systemic Response. Int J Mol Sci 2023; 24:ijms24010847. [PMID: 36614284 PMCID: PMC9821543 DOI: 10.3390/ijms24010847] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/26/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
Plants are constantly exposed to environmental stresses. Local stimuli sensed by one part of a plant are translated into long-distance signals that can influence the activities in distant tissues. Changes in levels of phytohormones in distant parts of the plant occur in response to various local stimuli. The regulation of hormone levels can be mediated by long-distance electrical signals, which are also induced by local stimulation. We consider the crosstalk between electrical signals and phytohormones and identify interaction points, as well as provide insights into the integration nodes that involve changes in pH, Ca2+ and ROS levels. This review also provides an overview of our current knowledge of how electrical signals and hormones work together to induce a systemic response.
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Ilbeigi V, Valadbeigi Y, Slováková L, Matejčík Š. Solid Phase Microextraction-Multicapillary Column-Ion Mobility Spectrometry (SPME-MCC-IMS) for Detection of Methyl Salicylate in Tomato Leaves. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:15593-15601. [PMID: 36459422 DOI: 10.1021/acs.jafc.2c05570] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Methyl salicylate (MeSA) is a plant-signaling molecule that plays an essential role in the regulation of plant responses to biotic and abiotic pathogens. In this work, solid phase microextraction (SPME) and a multicapillary column (MCC) are coupled to ion mobility spectrometry (IMS) to detect MeSA in tomato leaves. The SPME-MCC-IMS method provides two-dimensional (2D) separation by both MCC and IMS, based on the retention and drift times. The effect of the IMS polarity on the separation efficiency of MCCs was also investigated. In the positive polarity, ionization of MeSA resulted in [MeSA + H]+ formation while, in the negative, deprotonated ions, [MeSA - H]-, and the O2- adduct ion, [MeSA + O2]-, were formed. In the real sample analysis, the negative polarity operation resulted in the suppression of many matrix molecules and thus in the reduction of interferences. Four different SPME fibers were used for head space analysis, and four MCC columns were investigated. In the negative polarity, complete separation was achieved for all of the MCCs columns. The limits of detection (LODs) of 0.1 μg mL-1 and linear range of 0.25-12 μg mL-1 were obtained for the measurement of MeSA in a standard solution (H2O/CH3OH, 50:50) by the SPME-IMS method with a 5 min extraction time using an SPME with a PDMS fiber, in the negative mode of IMS. The MeSA contents of fresh tomato leaves were determined as 1.5-9.8 μg g-1, 24-96 h after inoculation by tomato mosaic ringspot virus (ToRSV).
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Affiliation(s)
- Vahideh Ilbeigi
- Department of Experimental Physics, Comenius University, Mlynská dolina F2, 842 48 Bratislava, Slovakia
| | - Younes Valadbeigi
- Department of Chemistry, Faculty of Science, Imam Khomeini International University, Qazvin 34148-96818, Iran
| | - L'udmila Slováková
- Department of Plant Physiology, Faculty of Natural Sciences, Mlynská dolina, Ilkovičova 6, 842 15 Bratislava 4, Slovakia
| | - Štefan Matejčík
- Department of Experimental Physics, Comenius University, Mlynská dolina F2, 842 48 Bratislava, Slovakia
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Hou JJ, Zhang ZJ, Wu WY, He QQ, Zhang TQ, Liu YW, Wang ZJ, Gao L, Long HL, Lei M, Wu WY, Guo DA. Mass spectrometry imaging: new eyes on natural products for drug research and development. Acta Pharmacol Sin 2022; 43:3096-3111. [PMID: 36229602 PMCID: PMC9712638 DOI: 10.1038/s41401-022-00990-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/25/2022] [Indexed: 11/09/2022] Open
Abstract
Natural products (NPs) and their structural analogs represent a major source of novel drug development for disease prevention and treatment. The development of new drugs from NPs includes two crucial aspects. One is the discovery of NPs from medicinal plants/microorganisms, and the other is the evaluation of the NPs in vivo at various physiological and pathological states. The heterogeneous spatial distribution of NPs in medicinal plants/microorganisms or in vivo can provide valuable information for drug development. However, few molecular imaging technologies can detect thousands of compounds simultaneously on a label-free basis. Over the last two decades, mass spectrometry imaging (MSI) methods have progressively improved and diversified, thereby allowing for the development of various applications of NPs in plants/microorganisms and in vivo NP research. Because MSI allows for the spatial mapping of the production and distribution of numerous molecules in situ without labeling, it provides a visualization tool for NP research. Therefore, we have focused this mini-review on summarizing the applications of MSI technology in discovering NPs from medicinal plants and evaluating NPs in preclinical studies from the perspective of new drug research and development (R&D). Additionally, we briefly reviewed the factors that should be carefully considered to obtain the desired MSI results. Finally, the future development of MSI in new drug R&D is proposed.
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Affiliation(s)
- Jin-Jun Hou
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zi-Jia Zhang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wen-Yong Wu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Qing-Qing He
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Teng-Qian Zhang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ya-Wen Liu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhao-Jun Wang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lei Gao
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hua-Li Long
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Min Lei
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wan-Ying Wu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - De-An Guo
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Ajith A, Milnes PJ, Johnson GN, Lockyer NP. Mass Spectrometry Imaging for Spatial Chemical Profiling of Vegetative Parts of Plants. PLANTS 2022; 11:plants11091234. [PMID: 35567235 PMCID: PMC9102225 DOI: 10.3390/plants11091234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 11/23/2022]
Abstract
The detection of chemical species and understanding their respective localisations in tissues have important implications in plant science. The conventional methods for imaging spatial localisation of chemical species are often restricted by the number of species that can be identified and is mostly done in a targeted manner. Mass spectrometry imaging combines the ability of traditional mass spectrometry to detect numerous chemical species in a sample with their spatial localisation information by analysing the specimen in a 2D manner. This article details the popular mass spectrometry imaging methodologies which are widely pursued along with their respective sample preparation and the data analysis methods that are commonly used. We also review the advancements through the years in the usage of the technique for the spatial profiling of endogenous metabolites, detection of xenobiotic agrochemicals and disease detection in plants. As an actively pursued area of research, we also address the hurdles in the analysis of plant tissues, the future scopes and an integrated approach to analyse samples combining different mass spectrometry imaging methods to obtain the most information from a sample of interest.
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Affiliation(s)
- Akhila Ajith
- Department of Chemistry, Photon Science Institute, University of Manchester, Manchester M13 9PL, UK;
| | - Phillip J. Milnes
- Syngenta, Jeolott’s Hill International Research Centre, Bracknell RG42 6EY, UK;
| | - Giles N. Johnson
- Department of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PY, UK;
| | - Nicholas P. Lockyer
- Department of Chemistry, Photon Science Institute, University of Manchester, Manchester M13 9PL, UK;
- Correspondence:
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Yamada K, Nakanowatari M, Yumoto E, Satoh S, Asahina M. Spatiotemporal plant hormone analysis from cryosections using laser microdissection-liquid chromatography-mass spectrometry. JOURNAL OF PLANT RESEARCH 2022; 135:377-386. [PMID: 34812978 DOI: 10.1007/s10265-021-01360-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 11/17/2021] [Indexed: 06/13/2023]
Abstract
Laser microdissection (LMD) is used for isolating specific regions or single cells from a wide variety of tissue samples under direct microscopic observation. The LMD method enables the harvest of the cells of interest in a region or specific cells for several analyses, such as DNA/RNA analysis, proteomics, metabolomics, and other molecular analyses. Currently, LMD is used to study various biological events at the tissue or cellular level; it has been used in a wide range of research fields. In this report, we describe techniques for isolating different tissues/specific cells from cryosections of incised Arabidopsis flowering stems by LMD for spatiotemporal quantitative plant hormone analysis. The endogenous indole-3-acetic acid levels in the epidermis/cortex, vascular bundles, and pith of Arabidopsis flowering stems were approximately 19.0 pg mm-3, 33.5 pg mm-3, and 3.32 pg mm-3, respectively, and these endogenous levels were altered spatiotemporally after incision. We also analyzed jasmonic acid from LMD-isolated cells and showed that the endogenous levels increased in the range of approximately 200-3,500 pg mm-3 depending on the tissue and region at 1 h after incision and then decreased to less than 100 pg mm-3 or undetectable levels at 24 h after incision. Quantitative analyses of phytohormones, including jasmonic acid-related molecules, gibberellin, abscisic acid, and cytokinins, could also be performed using the same cell samples. These results showed that spatiotemporal changes in plant hormones could be quantitatively and simultaneously analyzed by LMD-isolated cells from cryosections with positional information. The combination of quantitative analysis by liquid chromatography-mass spectrometry (LC-MS) and sampling by the LMD method provides a comprehensive and quantitative understanding of spatiotemporal changes in plant hormones in a region- and tissue-specific manner. Therefore, LMD-LC-MS methods will contribute to our understanding of the physiological events that control the process of plant growth and development.
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Affiliation(s)
- Kazuki Yamada
- Graduate School of Science and Engineering, Teikyo University, 1-1 Toyosatodai, Utsunomiya, Tochigi, 320-8551, Japan
| | - Miyuki Nakanowatari
- Graduate School of Science and Engineering, Teikyo University, 1-1 Toyosatodai, Utsunomiya, Tochigi, 320-8551, Japan
| | - Emi Yumoto
- Advanced Instrumental Analysis Center, Teikyo University, 1-1 Toyosatodai, Utsunomiya, Tochigi, 320-8551, Japan
| | - Shinobu Satoh
- Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki, 305-8572, Japan
| | - Masashi Asahina
- Graduate School of Science and Engineering, Teikyo University, 1-1 Toyosatodai, Utsunomiya, Tochigi, 320-8551, Japan.
- Advanced Instrumental Analysis Center, Teikyo University, 1-1 Toyosatodai, Utsunomiya, Tochigi, 320-8551, Japan.
- Department of Biosciences, Teikyo University, 1-1 Toyosatodai, Utsunomiya, Tochigi, 320-8551, Japan.
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Recent Advances of Ambient Mass Spectrometry Imaging and Its Applications in Lipid and Metabolite Analysis. Metabolites 2021; 11:metabo11110780. [PMID: 34822438 PMCID: PMC8625079 DOI: 10.3390/metabo11110780] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 11/08/2021] [Accepted: 11/11/2021] [Indexed: 01/02/2023] Open
Abstract
Ambient mass spectrometry imaging (AMSI) has attracted much attention in recent years. As a kind of unlabeled molecular imaging technique, AMSI can enable in situ visualization of a large number of compounds in biological tissue sections in ambient conditions. In this review, the developments of various AMSI techniques are discussed according to one-step and two-step ionization strategies. In addition, recent applications of AMSI for lipid and metabolite analysis (from 2016 to 2021) in disease diagnosis, animal model research, plant science, drug metabolism and toxicology research, etc., are summarized. Finally, further perspectives of AMSI in spatial resolution, sensitivity, quantitative ability, convenience and software development are proposed.
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Enomoto H, Miyamoto K. Unique localization of jasmonic acid-related compounds in developing Phaseolus vulgaris L. (common bean) seeds revealed through desorption electrospray ionization-mass spectrometry imaging. PHYTOCHEMISTRY 2021; 188:112812. [PMID: 34015625 DOI: 10.1016/j.phytochem.2021.112812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 06/12/2023]
Abstract
Jasmonic acid (JA) and its precursors are oxylipins derived from α-linolenic acid (αLA). Presumably, they are involved in the regulation of seed embryogenesis, dormancy, and germination. However, their spatial localization in the developing Phaseolus vulgaris L. (common bean) seeds has not been fully elucidated. Therefore, desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) was performed to investigate their localization in the developing seeds. Peaks corresponding to the chemical formulae of αLA and 3-oxo-2-(2-(Z)-pentenyl)-cyclopentane-1-octanoic acid (OPC-8:0) were localized mainly in the radicle and seed coat, while that of 12-oxo-phytodienoic acid (OPDA) in the seed coat. This was consistent with the quantitative results obtained using liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS) analysis. In contrast, DESI-tandem MSI (MS/MSI) and LC-ESI-MS/MS analyses showed that the effects of isomers on the DESI-MSI ion images were small for αLA and OPDA, but not for OPC-8:0. This indicated that DESI-MSI could accurately visualize αLA and OPDA, while DESI-MS/MSI was necessary to visualize OPC-8:0. The results demonstrated that free αLA and OPC-8:0 were abundant in the radicle and seed coat, while free OPDA was accumulated in the seed coat. Interestingly, the localization pattern of OPDA was similar to that of JA. In addition, compared to the concentrations of OPDA, the concentration of OPC-8:0 was lower in the seed coat and higher in the radicle. These results suggest that OPDA and/or JA play a biological role mainly in the seed coat, while OPC-8:0 is biologically active mainly in the radicle. Therefore, DESI-MSI coupled with LC-ESI-MS is a useful tool for spatial analysis of JA-related compounds in developing common bean seeds.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan; Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan; Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya, 320-8551, Japan.
| | - Koji Miyamoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan; Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan
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