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Hu H, Qiu K, Hao Q, He X, Qin L, Chen L, Yang C, Dai X, Liu H, Xu H, Guo H, Li J, Wu R, Feng J, Zhou Y, Han J, Xiao C, Wang X. Electromagnetic Field-Assisted Frozen Tissue Planarization Enhances MALDI-MSI in Plant Spatial Omics. Anal Chem 2024; 96:11809-11822. [PMID: 38975729 DOI: 10.1021/acs.analchem.4c01407] [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: 07/09/2024]
Abstract
Plant samples with irregular morphology are challenging for longitudinal tissue sectioning. This has restricted the ability to gain insight into some plants using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). Herein, we develop a novel technique termed electromagnetic field-assisted frozen tissue planarization (EMFAFTP). This technique involves using a pair of adjustable electromagnets on both sides of a plant tissue. Under an optimized electromagnetic field strength, nondestructive planarization and regularization of the frozen tissue is induced, allowing the longitudinal tissue sectioning that favors subsequent molecular profiling by MALDI-MSI. As a proof of concept, flowers, leaves and roots with irregular morphology from six plant species are chosen to evaluate the performance of EMFAFTP for MALDI-MSI of secondary metabolites, amino acids, lipids, and proteins among others in the plant samples. The significantly enhanced MALDI-MSI capabilities of these endogenous molecules demonstrate the robustness of EMFAFTP and suggest it has the potential to become a standard technique for advancing MALDI-MSI into a new era of plant spatial omics.
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Affiliation(s)
- Hao Hu
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Kaidi Qiu
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Qichen Hao
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Xiaojia He
- The Administrative Center for China's Agenda 21, Beijing 100038, China
| | - Liang Qin
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Lulu Chen
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Chenyu Yang
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Xiaoyan Dai
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Haiqiang Liu
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Hualei Xu
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Hua Guo
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Jinrong Li
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Ran Wu
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Jinchao Feng
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Yijun Zhou
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Jun Han
- Genome British Columbia Proteomics Centre, University of Victoria, Victoria, BC V8Z 7X8, Canada
- Division of Medical Sciences, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Chunwang Xiao
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Xiaodong Wang
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
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Dannhorn A, Kazanc E, Flint L, Guo F, Carter A, Hall AR, Jones SA, Poulogiannis G, Barry ST, Sansom OJ, Bunch J, Takats Z, Goodwin RJA. Morphological and molecular preservation through universal preparation of fresh-frozen tissue samples for multimodal imaging workflows. Nat Protoc 2024:10.1038/s41596-024-00987-z. [PMID: 38806741 DOI: 10.1038/s41596-024-00987-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 02/14/2024] [Indexed: 05/30/2024]
Abstract
The landscape of tissue-based imaging modalities is constantly and rapidly evolving. While formalin-fixed, paraffin-embedded material is still useful for histological imaging, the fixation process irreversibly changes the molecular composition of the sample. Therefore, many imaging approaches require fresh-frozen material to get meaningful results. This is particularly true for molecular imaging techniques such as mass spectrometry imaging, which are widely used to probe the spatial arrangement of the tissue metabolome. As high-quality fresh-frozen tissues are limited in their availability, any sample preparation workflow they are subjected to needs to ensure morphological and molecular preservation of the tissues and be compatible with as many of the established and emerging imaging techniques as possible to obtain the maximum possible insights from the tissues. Here we describe a universal sample preparation workflow, from the initial step of freezing the tissues to the cold embedding in a new hydroxypropyl methylcellulose/polyvinylpyrrolidone-enriched hydrogel and the generation of thin tissue sections for analysis. Moreover, we highlight the optimized storage conditions that limit molecular and morphological degradation of the sections. The protocol is compatible with human and plant tissues and can be easily adapted for the preparation of alternative sample formats (e.g., three-dimensional cell cultures). The integrated workflow is universally compatible with histological tissue analysis, mass spectrometry imaging and imaging mass cytometry, as well as spatial proteomic, genomic and transcriptomic tissue analysis. The protocol can be completed within 4 h and requires minimal prior experience in the preparation of tissue samples for multimodal imaging experiments.
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Affiliation(s)
- Andreas Dannhorn
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London, UK
| | - Emine Kazanc
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London, UK
| | - Lucy Flint
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Fei Guo
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
- Safety Innovations, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Alfie Carter
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
- Safety Innovations, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Andrew R Hall
- Safety Innovations, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Stewart A Jones
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | | | - Simon T Barry
- Bioscience, Discovery, Oncology R&D, AstraZeneca, Cambridge, UK
| | | | - Josephine Bunch
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington, UK
| | - Zoltan Takats
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London, UK
| | - Richard J A Goodwin
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK.
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
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Wittek O, Jahreis B, Römpp A. MALDI MS Imaging of Chickpea Seeds ( Cicer arietinum) and Crab's Eye Vine ( Abrus precatorius) after Tryptic Digestion Allows Spatially Resolved Identification of Plant Proteins. Anal Chem 2023; 95:14972-14980. [PMID: 37749896 PMCID: PMC10568532 DOI: 10.1021/acs.analchem.3c02428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 09/05/2023] [Indexed: 09/27/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) imaging following in situ enzymatic digestion is a versatile analytical method for the untargeted investigation of protein distributions, which has rarely been used for plants so far. The present study describes a workflow for in situ tryptic digestion of plant seed tissue for MALDI MS imaging. Substantial modifications to the sample preparation procedure for mammalian tissues were necessary to cater to the specific properties of plant materials. For the first time, distributions of tryptic peptides were successfully visualized in plant tissue using MS imaging with accurate mass detection. Sixteen proteins were visualized and identified in chickpea seeds showing different distribution patterns, e.g., in the cotyledons, radicle, or testa. All tryptic peptides were detected with a mass resolution higher than 60,000 as well as a mass accuracy better than 1.5 ppm root-mean-square error and were matched to results from complementary liquid chromatography-MS/MS (LC-MS/MS) data. The developed method was also applied to crab's eye vine seeds for targeted MS imaging of the toxic protein abrin, showing the presence of abrin-a in all compartments. Abrin (59 kDa), as well as the majority of proteins visualized in chickpeas, was larger than 50 kDa and would thus not be readily accessible by top-down MS imaging. Since antibodies for plant proteins are often not readily available, in situ digestion MS imaging provides unique information, as it makes the distribution and identification of larger proteins in plant tissues accessible in an untargeted manner. This opens up new possibilities in the field of plant science as well as to assess the nutritional quality and/or safety of crops.
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Affiliation(s)
| | - Bastian Jahreis
- Bioanalytical Sciences and
Food Analysis, University of Bayreuth, Universitaetsstrasse 30, D-95447 Bayreuth, Germany
| | - Andreas Römpp
- Bioanalytical Sciences and
Food Analysis, University of Bayreuth, Universitaetsstrasse 30, D-95447 Bayreuth, Germany
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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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5
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Ren Z, Qin L, Chen L, Xu H, Liu H, Guo H, Li J, Yang C, Hu H, Wu R, Zhou Y, Xue K, Liu B, Wang X. Spatial Lipidomics of EPSPS and PAT Transgenic and Non-Transgenic Soybean Seeds Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023. [PMID: 37318082 DOI: 10.1021/acs.jafc.3c01377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Herbicide-resistant soybeans are among the most widely planted transgenic crops. The in situ evaluation of spatial lipidomics in transgenic and non-transgenic soybeans is important for directly assessing the unintended effects of exogenous gene introduction. In this study, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI)-based non-targeted analytical strategies were used for the first time for in situ detection and imaging of endogenous lipid distributions in transgenic (EPSPS and PAT genes) herbicide-resistant soybean (Glycine max Merrill) (S4003.14) and non-transgenic soybean (JACK) seeds. Statistical analysis revealed significant differences in lipids between S4003.14 and JACK seeds. The variable importance of projection analysis further revealed that 18 identified lipids, including six phosphatidylcholines (PCs), four phosphatidylethanolamines (PEs), five triacylglycerols (TAGs), and three cytidine diphosphate-diacylglycerols (CDP-DAGs), had the strongest differential expression between S4003.14 and JACK seeds. Among those, the upregulated expressions of PC(P-36:1), PC(36:2), PC(P-36:0), PC(37:5), PE(40:2), TAG(52:1), TAG(55:5), and CDP-DAG(37:2) and the downregulated expressions of PC (36:1), TAG(43:0), and three PEs (i.e., PE(P-38:1), PE(P-38:0), and PE(P-40:3)) were successfully found in the S4003.14 seeds, compared to these lipids detected in the JACK seeds. Meanwhile, the lipids of PC (44:8), CDP-DAG(38:0), and CDP-DAG(42:0) were uniquely detected in the S4003.14 soybean seeds, and TAG(45:2) and TAG(57:10) were detected as the unique lipids in the JACK seeds. The heterogeneous distribution of these lipids in the soybean seeds was also clearly visualized using MALDI-MSI. MSI results showed that lipid expression was significantly up/downregulated in S4003.14 seeds, compared to that in JACK seeds. This study improves our understanding of the unintended effects of herbicide-resistant EPSPS and PAT gene transfers on spatial lipidomes in soybean seeds and enables the continued progression of MALDI-MSI as an emerging, reliable, and rapid molecular imaging tool for evaluating unintended effects in transgenic plants.
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Affiliation(s)
- Zhentao Ren
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Liang Qin
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Lulu Chen
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Hualei Xu
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Haiqiang Liu
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Hua Guo
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Jinrong Li
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Chenyu Yang
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Hao Hu
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Ran Wu
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Yijun Zhou
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Kun Xue
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
| | - Biao Liu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Xiaodong Wang
- College of Life and Environmental Sciences, Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), State Ethnic Affairs Commission, Beijing 100081, China
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Li Q, Chen Y, Gao H, Li Z, Qiu D, Hu G. In situ analysis of volatile oil in Angelica sinensis roots by fluorescence imaging combined with mass spectrometry imaging. Talanta 2023; 255:124253. [PMID: 36630786 DOI: 10.1016/j.talanta.2023.124253] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/02/2023] [Accepted: 01/04/2023] [Indexed: 01/06/2023]
Abstract
In this study, the spatial distribution and accumulation dynamics of volatile oil in Angelica sinensis roots was realized by fluorescence imaging combined with mass spectrometry imaging. The laser scanning confocal microscopy was used to determine the optimal excitation wavelength and the fluorescent stability of volatile oil in the sections of Angelica sinensis roots. The results demonstrated that 488 nm was the most suitable excitation wavelength for the identification and quantitative analysis of volatile oil. It was observed that volatile oil accumulated in the oil chamber of the phelloderm and secondary phloem, and the oil canal of the secondary xylem. The results also indicated that there were differences in content during different periods. Furthermore, the MALDI-TOF-MSI technology was used to study the spatial distribution and compare the chemical compositions of different parts of Angelica sinensis roots during the harvest period. A total of 55, 49, 50 and 30 compounds were identified from the head, body, tail of the root and root bark, respectively. The spatial distribution of phthalides, organic acids and other compounds were revealed in Angelica sinensis roots. The method developed in this study could be used for the in situ analysis of volatile oil in Angelica sinensis roots.
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Affiliation(s)
- Qian Li
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China.
| | - Yuying Chen
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China
| | - Hui Gao
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China
| | - Zeyu Li
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China
| | - Daiyu Qiu
- State Key Laboratory of Aridland Crop Science, College of Agronomy, Gansu Agricultural University, Lanzhou, 730070, China
| | - Guangzhi Hu
- Department of Physics, Umeå University, Umeå, 901 87, Sweden.
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7
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Dong Y, Shachaf N, Feldberg L, Rogachev I, Heinig U, Aharoni A. PICA: Pixel Intensity Correlation Analysis for Deconvolution and Metabolite Identification in Mass Spectrometry Imaging. Anal Chem 2023; 95:1652-1662. [PMID: 36594613 PMCID: PMC9850408 DOI: 10.1021/acs.analchem.2c04778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
In-source fragmentation (ISF) is a naturally occurring phenomenon in various ion sources including soft ionization techniques such as matrix-assisted laser desorption/ionization (MALDI). It has traditionally been minimized as it makes the dataset more complex and often leads to mis-annotation of metabolites. Here, we introduce an approach termed PICA (for pixel intensity correlation analysis) that takes advantage of ISF in MALDI imaging to increase confidence in metabolite identification. In PICA, the extraction and association of in-source fragments to their precursor ion results in "pseudo-MS/MS spectra" that can be used for identification. We examined PICA using three different datasets, two of which were published previously and included validated metabolites annotation. We show that highly colocalized ions possessing Pearson correlation coefficient (PCC) ≥ 0.9 for a given precursor ion are mainly its in-source fragments, natural isotopes, adduct ions, or multimers. These ions provide rich information for their precursor ion identification. In addition, our results show that moderately colocalized ions (PCC < 0.9) may be structurally related to the precursor ion, which allows for the identification of unknown metabolites through known ones. Finally, we propose three strategies to reduce the total computation time for PICA in MALDI imaging. To conclude, PICA provides an efficient approach to extract and group ions stemming from the same metabolites in MALDI imaging and thus allows for high-confidence metabolite identification.
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Affiliation(s)
- Yonghui Dong
- Department
of Plant Sciences, Weizmann Institute of
Science, Rehovot7610001, Israel,Department
of Life Sciences Core Facilities, Weizmann
Institute of Science, Rehovot7610001, Israel
| | - Nir Shachaf
- Department
of Plant Sciences, Weizmann Institute of
Science, Rehovot7610001, Israel
| | - Liron Feldberg
- Department
of Analytical Chemistry, Israel Institute
for Biological Research, Ness Ziona7410001, Israel
| | - Ilana Rogachev
- Department
of Plant Sciences, Weizmann Institute of
Science, Rehovot7610001, Israel
| | - Uwe Heinig
- Department
of Plant Sciences, Weizmann Institute of
Science, Rehovot7610001, Israel,Department
of Life Sciences Core Facilities, Weizmann
Institute of Science, Rehovot7610001, Israel
| | - Asaph Aharoni
- Department
of Plant Sciences, Weizmann Institute of
Science, Rehovot7610001, Israel,. Phone: +972 544 784259
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8
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Visualizing the Spatial Distribution of Arctium lappa L. Root Components by MALDI-TOF Mass Spectrometry Imaging. Foods 2022; 11:foods11243957. [PMID: 36553700 PMCID: PMC9778511 DOI: 10.3390/foods11243957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
This study is aimed at developing novel analytical methods to accurately visualize the spatial distribution of various endogenous components in Arctium lappa L. (A. lappa) roots, and to precisely guide the setting of pre-treatment operations during processing technologies and understand plant metabolism process. The matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) imaging technology was used for visual demonstration of the in situ spatial distribution in A. lappa roots. This work consisted of four steps: matrix selection, section preparation, matrix coating, and MALDI-TOF MS imaging analysis. Consequently, eight saccharides, four caffeoylquinic acids, four flavonoids, six amino acids, one choline, and one phospholipid were imaged and four unidentified components were found. Saccharides were distributed in the center, whereas caffeoylquinic acids and flavonoids were mainly present in the epidermis and cortex. Furthermore, amino acids were mainly detected in the phloem, and choline in the cambium, while phosphatidylserine was found in the secondary phloem and cambium. This study demonstrated that MALDI-TOF MS imaging technology could provide a technical support to understand the spatial distribution of components in A. lappa roots, which would promote the processing technologies for A. lappa roots and help us to understand the plant metabolism process.
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9
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Wu W, Zhang L, Zheng X, Huang Q, Farag MA, Zhu R, Zhao C. Emerging applications of metabolomics in food science and future trends. Food Chem X 2022; 16:100500. [DOI: 10.1016/j.fochx.2022.100500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/17/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
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10
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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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11
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Hu W, Nie H, Wang Y, Li N, Di S, Pan Q, Liu J, Han Y. Tracing the migration and transformation of metabolites in xylem during wood growth by mass spectrometry imaging. Analyst 2022; 147:1551-1558. [DOI: 10.1039/d1an02251b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
MALDI MSI was used to explore the rule of metabolite migration and transformation for the first time. The rules of heartwood formation and resin secretion were visualized and fully explored.
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Affiliation(s)
- Wenya Hu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Honggang Nie
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Yinghao Wang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Na Li
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Shuangshuang Di
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Qiong Pan
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Jikun Liu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Yehua Han
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
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12
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Lohse M, Haag R, Lippold E, Vetterlein D, Reemtsma T, Lechtenfeld OJ. Direct Imaging of Plant Metabolites in the Rhizosphere Using Laser Desorption Ionization Ultra-High Resolution Mass Spectrometry. FRONTIERS IN PLANT SCIENCE 2021; 12:753812. [PMID: 34925405 PMCID: PMC8678481 DOI: 10.3389/fpls.2021.753812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/03/2021] [Indexed: 06/14/2023]
Abstract
The interplay of rhizosphere components such as root exudates, microbes, and minerals results in small-scale gradients of organic molecules in the soil around roots. The current methods for the direct chemical imaging of plant metabolites in the rhizosphere often lack molecular information or require labeling with fluorescent tags or isotopes. Here, we present a novel workflow using laser desorption ionization (LDI) combined with mass spectrometric imaging (MSI) to directly analyze plant metabolites in a complex soil matrix. Undisturbed samples of the roots and the surrounding soil of Zea mays L. plants from either field- or laboratory-scale experiments were embedded and cryosectioned to 100 μm thin sections. The target metabolites were detected with a spatial resolution of 25 μm in the root and the surrounding soil based on accurate masses using ultra-high mass resolution laser desorption ionization Fourier-transform ion cyclotron resonance mass spectrometry (LDI-FT-ICR-MS). Using this workflow, we could determine the rhizosphere gradients of a dihexose (e.g., sucrose) and other plant metabolites (e.g., coumaric acid, vanillic acid). The molecular gradients for the dihexose showed a high abundance of this metabolite in the root and a strong depletion of the signal intensity within 150 μm from the root surface. Analyzing several sections from the same undisturbed soil sample allowed us to follow molecular gradients along the root axis. Benefiting from the ultra-high mass resolution, isotopologues of the dihexose could be readily resolved to enable the detection of stable isotope labels on the compound level. Overall, the direct molecular imaging via LDI-FT-ICR-MS allows for the first time a non-targeted or targeted analysis of plant metabolites in undisturbed soil samples, paving the way to study the turnover of root-derived organic carbon in the rhizosphere with high chemical and spatial resolution.
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Affiliation(s)
- Martin Lohse
- Department of Analytical Chemistry, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
| | - Rebecca Haag
- Department of Analytical Chemistry, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
- Ansbach University of Applied Sciences, Ansbach, Germany
| | - Eva Lippold
- Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Halle, Germany
| | - Doris Vetterlein
- Department of Soil System Science, Helmholtz Centre for Environmental Research – UFZ, Halle, Germany
- Soil Science, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Thorsten Reemtsma
- Department of Analytical Chemistry, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
- Institute of Analytical Chemistry, University of Leipzig, Leipzig, Germany
| | - Oliver J. Lechtenfeld
- Department of Analytical Chemistry, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
- ProVIS – Centre for Chemical Microscopy, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
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13
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Treu A, Römpp A. Matrix ions as internal standard for high mass accuracy matrix-assisted laser desorption/ionization mass spectrometry imaging. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2021; 35:e9110. [PMID: 33880828 DOI: 10.1002/rcm.9110] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/16/2021] [Accepted: 04/18/2021] [Indexed: 06/12/2023]
Abstract
RATIONALE High mass accuracy is indispensable for reliable identification in matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) imaging. Ubiquitous matrix ions can serve as reference masses for mass calibration if their sum formula is known. Here we report an overview of ions generated on tissue by 11 common MALDI matrices for use in internal or external mass calibration. METHODS Matrices covered in this study were applied onto coronal mouse brain sections using a pneumatic sprayer setup. MALDI imaging was performed on a Q Exactive HF orbital trapping mass spectrometer coupled to an AP-SMALDI 10 source. Measurements were conducted with high mass resolution (240 k full width at half maximum at m/z 200) and high mass accuracy with a root mean square mass error of better than 1.5 ppm achieved via internal mass calibration using matrix ions. RESULTS MALDI MS imaging was used to investigate ions generated on tissue by 11 common MALDI matrices. An example of using matrix ions for internal mass calibration in MALDI imaging of drug substances and lipids in murine lung sections is presented. Tables containing the cluster composition, sum formulae, and the measured and theoretical m/z ratios of the identified ions were compiled for each matrix. CONCLUSION Using matrix ions as reference masses for internal and external mass calibration in MALDI MS imaging is an effective and elegant way to achieve sub-ppm mass accuracy as it makes use of ubiquitous signals present in every MALDI MS spectrum without the need for an additional calibration standard.
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Affiliation(s)
- Axel Treu
- Bioanalytical Sciences and Food Analysis, University of Bayreuth, Bayreuth, Germany
| | - Andreas Römpp
- Bioanalytical Sciences and Food Analysis, University of Bayreuth, Bayreuth, Germany
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14
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McCann A, Rappe S, La Rocca R, Tiquet M, Quinton L, Eppe G, Far J, De Pauw E, Kune C. Mass shift in mass spectrometry imaging: comprehensive analysis and practical corrective workflow. Anal Bioanal Chem 2021; 413:2831-2844. [PMID: 33517478 DOI: 10.1007/s00216-021-03174-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/22/2020] [Accepted: 01/13/2021] [Indexed: 12/19/2022]
Abstract
MALDI mass spectrometry imaging (MSI) allows the mapping and the tentative identification of compounds based on their m/z value. In typical MSI, a spectrum is taken at incremental 2D coordinates (pixels) across a sample surface. Single pixel mass spectra show the resolving power of the mass analyzer. Mass shift, i.e., variations of the m/z of the same ion(s), may occur from one pixel to another. The superposition of shifted masses from individual pixels peaks apparently degrades the resolution and the mass accuracy in the average spectrum. This leads to low confidence annotations and biased localization in the image. Besides the intrinsic performances of the analyzer, the sample properties (local composition, thickness, matrix deposition) and the calibration method are sources of mass shift. Here, we report a critical analysis and recommendations to mitigate these sources of mass shift. Mass shift 2D distributions were mapped to illustrate its effect and explore systematically its origin. Adapting the sample preparation, carefully selecting the data acquisition settings, and wisely applying post-processing methods (i.e., m/z realignment or individual m/z recalibration pixel by pixel) are key factors to lower the mass shift and to improve image quality and annotations. A recommended workflow, resulting from a comprehensive analysis, was successfully applied to several complex samples acquired on both MALDI ToF and MALDI FT-ICR instruments.
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Affiliation(s)
- Andréa McCann
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Sophie Rappe
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Raphaël La Rocca
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Mathieu Tiquet
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Loïc Quinton
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Gauthier Eppe
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Johann Far
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium
| | - Christopher Kune
- Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium.
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15
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Dannhorn A, Kazanc E, Ling S, Nikula C, Karali E, Serra MP, Vorng JL, Inglese P, Maglennon G, Hamm G, Swales J, Strittmatter N, Barry ST, Sansom OJ, Poulogiannis G, Bunch J, Goodwin RJ, Takats Z. Universal Sample Preparation Unlocking Multimodal Molecular Tissue Imaging. Anal Chem 2020; 92:11080-11088. [PMID: 32519547 DOI: 10.1021/acs.analchem.0c00826] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
A new tissue sample embedding and processing method is presented that provides downstream compatibility with numerous different histological, molecular biology, and analytical techniques. The methodology is based on the low temperature embedding of fresh frozen specimens into a hydrogel matrix composed of hydroxypropyl methylcellulose (HPMC) and polyvinylpyrrolidone (PVP) and sectioning using a cryomicrotome. The hydrogel was expected not to interfere with standard tissue characterization methods, histologically or analytically. We assessed the compatibility of this protocol with various mass spectrometric imaging methods including matrix-assisted laser desorption ionization (MALDI), desorption electrospray ionization (DESI) and secondary ion mass spectrometry (SIMS). We also demonstrated the suitability of the universal protocol for extraction based molecular biology techniques such as rt-PCR. The integration of multiple analytical modalities through this universal sample preparation protocol offers the ability to study tissues at a systems biology level and directly linking results to tissue morphology and cellular phenotype.
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Affiliation(s)
- Andreas Dannhorn
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London SW7 2AZ, U.K
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Emine Kazanc
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London SW7 2AZ, U.K
| | - Stephanie Ling
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Chelsea Nikula
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, U.K
| | - Evdoxia Karali
- The Institute for Cancer Research (ICR), London SW7 3RP, U.K
| | - Maria Paola Serra
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Jean-Luc Vorng
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, U.K
| | - Paolo Inglese
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London SW7 2AZ, U.K
| | - Gareth Maglennon
- Oncology Safety, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Gregory Hamm
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - John Swales
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Nicole Strittmatter
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Simon T Barry
- Bioscience, Discovery, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, Glasgow, G61 1BD, United Kingdom
| | | | - Josephine Bunch
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, U.K
| | - Richard Ja Goodwin
- Imaging and Data analytics, Clinical Pharmacology and Safety Sciences (CPSS), AstraZeneca, Cambridge, U.K
| | - Zoltan Takats
- Department of Digestion, Metabolism and Reproduction, Sir Alexander Fleming Building, Imperial College London, London SW7 2AZ, U.K
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16
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Kamjijam B, Bednarz H, Suwannaporn P, Jom KN, Niehaus K. Localization of amino acids in germinated rice grain: Gamma-aminobutyric acid and essential amino acids production approach. J Cereal Sci 2020. [DOI: 10.1016/j.jcs.2020.102958] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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17
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Jaiswal Y, Weber D, Yerke A, Xue Y, Lehman D, Williams T, Xiao T, Haddad D, Williams L. A substitute variety for agronomically and medicinally important Serenoa repens (saw palmetto). Sci Rep 2019; 9:4709. [PMID: 30886216 PMCID: PMC6423146 DOI: 10.1038/s41598-019-41150-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 02/26/2019] [Indexed: 12/15/2022] Open
Abstract
Serenoa repens (saw palmetto) berries are one of the most consumed medicinal herbs in the United States and the wild green variety is used in the initial therapy of benign prostatic hyperplasia (BPH), globally. Use of saw palmetto is approved by the German Commission E, and several clinical trials are underway for evaluation of its efficacy. Exploitation of its habitats and over foraging imperil this plant, which only grows in the wild. This is the first study, to propose the use of the S. repens forma glauca (silver variety) as a qualitative substitute for the wild variety, to support its conservation. We compared tissue microstructures and lipid and water distribution through spatial imaging and examined metabolite distribution of three tissue domains and whole berries. This combined approach of 3D imaging and metabolomics provides a new strategy for studying phenotypic traits and metabolite synthesis of closely related plant varieties.
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Affiliation(s)
- Yogini Jaiswal
- Center for Excellence in Post Harvest Technologies, North Carolina Agricultural and Technical State University, The North Carolina Research Campus, 500 Laureate Way, Kannapolis, NC, 28081, USA.
| | - Daniel Weber
- Fraunhofer Development Centre X-ray Technology EZRT, a Division of Fraunhofer Institute for Integrated Circuits IIS, Department Magnetic Resonance and X-ray Imaging MRB, Am Hubland D-97074, Wuerzburg, Germany
| | - Aaron Yerke
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, 28223, USA
| | - Yanling Xue
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Pudong District, Shanghai, 201203, P. R. China.,Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Pudong District, Shanghai, 201203, P. R. China
| | - Danielle Lehman
- Mass Spectrometry Facility, Department of Chemistry, North Carolina State University 2620 Yarbrough Drive, Campus Box 8204, Raleigh, NC, 27695, USA
| | - Taufika Williams
- Mass Spectrometry Facility, Department of Chemistry, North Carolina State University 2620 Yarbrough Drive, Campus Box 8204, Raleigh, NC, 27695, USA
| | - Tiqiao Xiao
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Pudong District, Shanghai, 201203, P. R. China.,Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Pudong District, Shanghai, 201203, P. R. China
| | - Daniel Haddad
- Fraunhofer Development Centre X-ray Technology EZRT, a Division of Fraunhofer Institute for Integrated Circuits IIS, Department Magnetic Resonance and X-ray Imaging MRB, Am Hubland D-97074, Wuerzburg, Germany
| | - Leonard Williams
- Center for Excellence in Post Harvest Technologies, North Carolina Agricultural and Technical State University, The North Carolina Research Campus, 500 Laureate Way, Kannapolis, NC, 28081, USA.
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18
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Tempo-Spatial Pattern of Stepharine Accumulation in Stephania Glabra Morphogenic Tissues. Int J Mol Sci 2019; 20:ijms20040808. [PMID: 30781887 PMCID: PMC6413192 DOI: 10.3390/ijms20040808] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Revised: 01/30/2019] [Accepted: 02/06/2019] [Indexed: 12/11/2022] Open
Abstract
Alkaloids attract great attention due to their valuable therapeutic properties. Stepharine, an aporphine alkaloid of Stephania glabra plants, exhibits anti-aging, anti-hypertensive, and anti-viral effects. The distribution of aporphine alkaloids in cell cultures, as well as whole plants is unknown, which hampers the development of bioengineering strategies toward enhancing their production. The spatial distribution of stepharine in cell culture models, plantlets, and mature micropropagated plants was investigated at the cellular and organ levels. Stepharine biosynthesis was found to be highly spatially and temporally regulated during plant development. We proposed that self-intoxication is the most likely reason for the failure of the induction of alkaloid biosynthesis in cell cultures. During somatic embryo development, the toxic load of alkaloids inside the cells increased. Only specialized cell sites such as vascular tissues with companion cells (VT cells), laticifers, and parenchymal cells with inclusions (PI cells) can tolerate the accumulation of alkaloids, and thus circumvent this restriction. S. glabra plants have adapted to toxic pressure by forming an additional transport secretory (laticifer) system and depository PI cells. Postembryonic growth restricts specialized cell site formation during organ development. Future bioengineering strategies should include cultures enriched in the specific cells identified in this study.
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19
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Li B, Zhang Y, Ge J, Liu K, Li P. Sample preparation for mass spectrometry imaging of leaf tissues: a case study on analyte delocalization. Anal Bioanal Chem 2018; 410:7449-7456. [PMID: 30215125 DOI: 10.1007/s00216-018-1355-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 08/23/2018] [Accepted: 08/30/2018] [Indexed: 02/07/2023]
Abstract
Appropriate sample preparation is pivotally important to obtain high-quality mass spectrometry imaging (MSI) data. Unlike mammalian tissues, preparation of cryosections from plant tissues for MSI measurement is quite challenging due to its intrinsic complex texture and cellular structure. This is especially true for leaf samples which are generally thin, water-rich, and fragile. In this work, a systematic study was performed, aiming to evaluate three embedding materials and five mounting approaches for matrix-assisted laser desorption ionization (MALDI) MSI of secondary metabolites in cross sections of the ginkgo leaf. Delocalization of endogenous metabolites was chosen as a major indicator for evaluation of three embedding materials including ice, carboxymethyl cellulose (CMC), and gelatin and different mounting approaches. Image distortion and analyte delocalization were observed when ice was used as an embedding medium. CMC embedding provided better results compared to the ice by using modified mounting approach. Among three embedding materials, no delocalization was observed in specimens embedded with gelatin, and gelatin embedding is the least affected by different mounting approaches. An alternative approach to mitigate analyte delocalization is the removal of embedding media embraced the tissue sections before mounting, which is particularly suitable for ice-embedded samples. Additionally, the extent of analyte delocalization was closely related to their lipophilicity/hydrophilicity properties, and less analyte diffusion was observed for hydrophobic analytes than for the water-soluble compounds.
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Affiliation(s)
- Bin Li
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China. .,School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Ying Zhang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China.,School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Junyue Ge
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China.,School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Kehui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Ping Li
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, China. .,School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
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20
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Qin L, Zhang Y, Liu Y, He H, Han M, Li Y, Zeng M, Wang X. Recent advances in matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) for in situ analysis of endogenous molecules in plants. PHYTOCHEMICAL ANALYSIS : PCA 2018; 29:351-364. [PMID: 29667236 DOI: 10.1002/pca.2759] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 02/01/2018] [Accepted: 02/04/2018] [Indexed: 05/27/2023]
Abstract
INTRODUCTION Mass spectrometry imaging (MSI) as a label-free and powerful imaging technique enables in situ evaluation of a tissue metabolome and/or proteome, becoming increasingly popular in the detection of plant endogenous molecules. OBJECTIVE The characterisation of structure and spatial information of endogenous molecules in plants are both very important aspects to better understand the physiological mechanism of plant organism. METHODS Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a commonly-used tissue imaging technique, which requires matrix to assist in situ detection of a variety of molecules on the surface of a tissue section. In previous studies, MALDI-MSI was mostly used for the detection of molecules from animal tissue sections, compared to plant samples due to cell structural limitations, such as plant cuticles, epicuticular waxes, and cell walls. Despite the enormous progress that has been made in tissue imaging, there is still a challenge for MALDI-MSI suitable for the imaging of endogenous compounds in plants. RESULTS This review summarises the recent advances in MALDI-MSI, focusing on the application of in situ detection of endogenous molecules in different plant organs, i.e. root, stem, leaf, flower, fruit, and seed. CONCLUSION Further improvements on instrumentation sensitivity, matrix selection, image processing and sample preparation will expand the application of MALDI-MSI in plant research.
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Affiliation(s)
- Liang Qin
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yawen Zhang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yaqin Liu
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Huixin He
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Manman Han
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yanyan Li
- The Hospital of Minzu University of China, Minzu University of China, Beijing, P. R. China
| | - Maomao Zeng
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, P. R. China
- Collaborative Innovation Centre of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, P. R. China
| | - Xiaodong Wang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
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21
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Dong J, Ning W, Mans DJ, Mans JD. A binary matrix for the rapid detection and characterization of small-molecule cardiovascular drugs by MALDI-MS and MS/MS. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2018; 10:572-578. [PMID: 30319716 PMCID: PMC6178826 DOI: 10.1039/c7ay02583a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
A mixture of α-cyano-4-hydroxycinnamic acid and 1,5-diaminonaphthalene was discovered as a novel binary matrix for the qualitative analysis of 14 small-molecule (~250-550 Da) cardiovascular drugs by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and MS/MS in either positive or negative ion mode.
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Affiliation(s)
- Jinlan Dong
- Division of Pharmaceutical Analysis, Center for Drug Evaluation and Research, Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Wenjing Ning
- Division of Pharmaceutical Analysis, Center for Drug Evaluation and Research, Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Daniel J Mans
- Division of Pharmaceutical Analysis, Center for Drug Evaluation and Research, Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Jamie D Mans
- Division of Pharmaceutical Analysis, Center for Drug Evaluation and Research, Food and Drug Administration, St. Louis, MO, 63110, USA
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Sarabia LD, Boughton BA, Rupasinghe T, van de Meene AML, Callahan DL, Hill CB, Roessner U. High-mass-resolution MALDI mass spectrometry imaging reveals detailed spatial distribution of metabolites and lipids in roots of barley seedlings in response to salinity stress. Metabolomics 2018; 14:63. [PMID: 29681790 PMCID: PMC5907631 DOI: 10.1007/s11306-018-1359-3] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 04/09/2018] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Mass spectrometry imaging (MSI) is a technology that enables the visualization of the spatial distribution of hundreds to thousands of metabolites in the same tissue section simultaneously. Roots are below-ground plant organs that anchor plants to the soil, take up water and nutrients, and sense and respond to external stresses. Physiological responses to salinity are multifaceted and have predominantly been studied using whole plant tissues that cannot resolve plant salinity responses spatially. OBJECTIVES This study aimed to use a comprehensive approach to study the spatial distribution and profiles of metabolites, and to quantify the changes in the elemental content in young developing barley seminal roots before and after salinity stress. METHODS Here, we used a combination of liquid chromatography-mass spectrometry (LC-MS), inductively coupled plasma mass spectrometry (ICP-MS), and matrix-assisted laser desorption/ionization (MALDI-MSI) platforms to profile and analyze the spatial distribution of ions, metabolites and lipids across three anatomically different barley root zones before and after a short-term salinity stress (150 mM NaCl). RESULTS We localized, visualized and discriminated compounds in fine detail along longitudinal root sections and compared ion, metabolite, and lipid composition before and after salt stress. Large changes in the phosphatidylcholine (PC) profiles were observed as a response to salt stress with PC 34:n showing an overall reduction in salt treated roots. ICP-MS analysis quantified changes in the elemental content of roots with increases of Na+ and decreases of K+ content. CONCLUSION Our results established the suitability of combining three mass spectrometry platforms to analyze and map ionic and metabolic responses to salinity stress in plant roots and to elucidate tolerance mechanisms in response to abiotic stress, such as salinity stress.
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Affiliation(s)
- Lenin D Sarabia
- School of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Berin A Boughton
- Metabolomics Australia, School of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia.
| | - Thusitha Rupasinghe
- Metabolomics Australia, School of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia
| | | | - Damien L Callahan
- School of Life and Environmental Sciences, Centre for Chemistry and Biotechnology, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Camilla B Hill
- School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, 6150, Australia
| | - Ute Roessner
- School of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia
- Metabolomics Australia, School of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia
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Imaging of Selenium by Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) in 2-D Electrophoresis Gels and Biological Tissues. Methods Mol Biol 2018; 1661:219-227. [PMID: 28917048 DOI: 10.1007/978-1-4939-7258-6_16] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
Selenium and selenoproteins are important components of living organisms that play a role in different biological processes. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is a powerful analytical technique that has been employed to obtain distribution maps of selenium in biological tissues in a direct manner, as well as in selenoproteins, previously separated by their molecular masses and isoelectric points using two-dimensional polyacrylamide gel electrophoresis (2-D PAGE). In this chapter, we present the protocols to perform LA-ICP-MS imaging experiments, allowing the distribution visualization and determination of selenium and/or selenoproteins in biological systems.
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Cohen H, Szymanski J, Aharoni A, Dominguez E. Assimilation of 'omics' strategies to study the cuticle layer and suberin lamellae in plants. JOURNAL OF EXPERIMENTAL BOTANY 2017; 68:5389-5400. [PMID: 29040673 DOI: 10.1093/jxb/erx348] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The assembly of the lipophilic cuticle layer and suberin lamellae, approximately 450 million years ago, was a major evolutionary development that enabled plants to colonize terrestrial habitats. The cuticle layer is composed of cutin polyester and embedded cuticular waxes, whereas the suberin lamellae consist of very long chain fatty acid derivatives, glycerol, and phenolics cross-linked with alkyl ferulate-embedded waxes. Due to their substantial biological roles in plant life, the mechanisms underlying the assembly of these structures have been extensively investigated. In the last decade, the introduction of 'omics' approaches, including genomics, transcriptomics, proteomics, and metabolomics, have been key in the identification of novel genetic and chemical elements involved in the formation and function of the cuticle layer and suberin lamellae. This review summarizes contemporary studies that utilized various large-scale, 'omics' strategies in combination with novel technologies to unravel how building blocks and polymers of these lipophilic barriers are made, and moreover linking structure to function along developmental programs and stress responses. We anticipate that the studies discussed here will inspire scientists studying lipophilic barriers to integrate complementary 'omics' approaches in their efforts to tackle as yet unresolved questions and engage the main challenges of the field to date.
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Affiliation(s)
- Hagai Cohen
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Jedrzej Szymanski
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
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25
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Cechová M, Válková M, Hradilová I, Janská A, Soukup A, Smýkal P, Bednář P. Towards Better Understanding of Pea Seed Dormancy Using Laser Desorption/Ionization Mass Spectrometry. Int J Mol Sci 2017; 18:E2196. [PMID: 29065445 PMCID: PMC5666877 DOI: 10.3390/ijms18102196] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 10/11/2017] [Accepted: 10/16/2017] [Indexed: 02/07/2023] Open
Abstract
Seed coats of six pea genotypes contrasting in dormancy were studied by laser desorption/ionization mass spectrometry (LDI-MS). Multivariate statistical analysis discriminated dormant and non-dormant seeds in mature dry state. Separation between dormant and non-dormant types was observed despite important markers of particular dormant genotypes differ from each other. Normalized signals of long-chain hydroxylated fatty acids (HLFA) in dormant JI64 genotype seed coats were significantly higher than in other genotypes. These compounds seem to be important markers likely influencing JI64 seed imbibition and germination. HLFA importance was supported by study of recombinant inbred lines (JI64xJI92) contrasting in dormancy but similar in other seed properties. Furthemore HLFA distribution in seed coat was studied by mass spectrometry imaging. HLFA contents in strophiole and hilum are significantly lower compared to other parts indicating their role in water uptake. Results from LDI-MS experiments are useful in understanding (physical) dormancy (first phases of germination) mechanism and properties related to food processing technologies (e.g., seed treatment by cooking).
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Affiliation(s)
- Monika Cechová
- Regional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University, 17. Listopadu 12, 771 46 Olomouc, Czech Republic.
| | - Markéta Válková
- Regional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University, 17. Listopadu 12, 771 46 Olomouc, Czech Republic.
| | - Iveta Hradilová
- Department of Botany, Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic.
| | - Anna Janská
- Department of Experimental Plant Biology, Faculty of Science, Charles University, Viničná 5, 128 44 Prague, Czech Republic.
| | - Aleš Soukup
- Department of Experimental Plant Biology, Faculty of Science, Charles University, Viničná 5, 128 44 Prague, Czech Republic.
| | - Petr Smýkal
- Department of Botany, Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic.
| | - Petr Bednář
- Regional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University, 17. Listopadu 12, 771 46 Olomouc, Czech Republic.
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26
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Ho YN, Shu LJ, Yang YL. Imaging mass spectrometry for metabolites: technical progress, multimodal imaging, and biological interactions. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2017; 9. [PMID: 28488813 DOI: 10.1002/wsbm.1387] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 01/24/2017] [Accepted: 02/28/2017] [Indexed: 12/19/2022]
Abstract
Imaging mass spectrometry (IMS) allows the study of the spatial distribution of small molecules in biological samples. IMS is able to identify and quantify chemicals in situ from whole tissue sections to single cells. Both vacuum mass spectrometry (MS) and ambient MS systems have advanced considerably over the last decade; however, some limitations are still hard to surmount. Sample pretreatment, matrix or solvent choices, and instrument improvement are the key factors that determine the successful application of IMS to different samples and analytes. IMS with innovative MS analyzers, powerful MS spectrum databases, and analysis tools can efficiently dereplicate, identify, and quantify natural products. Moreover, multimodal imaging systems and multiple MS-based systems provide additional structural, chemical, and morphological information and are applied as complementary tools to explore new fields. IMS has been applied to reveal interactions between living organisms at molecular level. Recently, IMS has helped solve many previously unidentifiable relations between bacteria, fungi, plants, animals, and insects. Other significant interactions on the chemical level can also be resolved using expanding IMS techniques. WIREs Syst Biol Med 2017, 9:e1387. doi: 10.1002/wsbm.1387 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Ying-Ning Ho
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
| | - Lin-Jie Shu
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
| | - Yu-Liang Yang
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
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27
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Organic matrices, ionic liquids, and organic matrices@nanoparticles assisted laser desorption/ionization mass spectrometry. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.01.012] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Fowble KL, Teramoto K, Cody RB, Edwards D, Guarrera D, Musah RA. Development of “Laser Ablation Direct Analysis in Real Time Imaging” Mass Spectrometry: Application to Spatial Distribution Mapping of Metabolites Along the Biosynthetic Cascade Leading to Synthesis of Atropine and Scopolamine in Plant Tissue. Anal Chem 2017; 89:3421-3429. [DOI: 10.1021/acs.analchem.6b04137] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Kristen L. Fowble
- State University of New York at Albany, Department
of Chemistry, 1400 Washington
Avenue, Albany, New York 12222, United States
| | - Kanae Teramoto
- JEOL Ltd., 3-1-2 Musashino, Akishima, Tokyo, Japan 196-8558
| | - Robert B. Cody
- JEOL USA Inc., 11 Dearborn Road, Peabody, Massachusetts 01960, United States
| | - David Edwards
- JEOL USA Inc., 11 Dearborn Road, Peabody, Massachusetts 01960, United States
| | - Donna Guarrera
- JEOL USA Inc., 11 Dearborn Road, Peabody, Massachusetts 01960, United States
| | - Rabi A. Musah
- State University of New York at Albany, Department
of Chemistry, 1400 Washington
Avenue, Albany, New York 12222, United States
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29
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Peukert M, Lim WL, Seiffert U, Matros A. Mass Spectrometry Imaging of Metabolites in Barley Grain Tissues. ACTA ACUST UNITED AC 2016; 1:574-591. [DOI: 10.1002/cppb.20037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Manuela Peukert
- Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne; Cologne Germany
| | - Wai Li Lim
- Australian Research Council Centre of Excellence in Plant Cell Walls (ARC CoE), University of Adelaide; Urrbrae Australia
| | - Udo Seiffert
- Biosystems Engineering, Fraunhofer Institute for Factory Operation and Automation IFF; Magdeburg Germany
| | - Andrea Matros
- Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Applied Biochemistry Group; Gatersleben Germany
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30
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Yoshimura Y, Goto-Inoue N, Moriyama T, Zaima N. Significant advancement of mass spectrometry imaging for food chemistry. Food Chem 2016; 210:200-11. [DOI: 10.1016/j.foodchem.2016.04.096] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 02/17/2016] [Accepted: 04/20/2016] [Indexed: 11/30/2022]
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31
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Jorge TF, Rodrigues JA, Caldana C, Schmidt R, van Dongen JT, Thomas-Oates J, António C. Mass spectrometry-based plant metabolomics: Metabolite responses to abiotic stress. MASS SPECTROMETRY REVIEWS 2016; 35:620-49. [PMID: 25589422 DOI: 10.1002/mas.21449] [Citation(s) in RCA: 145] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 10/02/2014] [Accepted: 10/14/2014] [Indexed: 05/08/2023]
Abstract
Metabolomics is one omics approach that can be used to acquire comprehensive information on the composition of a metabolite pool to provide a functional screen of the cellular state. Studies of the plant metabolome include analysis of a wide range of chemical species with diverse physical properties, from ionic inorganic compounds to biochemically derived hydrophilic carbohydrates, organic and amino acids, and a range of hydrophobic lipid-related compounds. This complexitiy brings huge challenges to the analytical technologies employed in current plant metabolomics programs, and powerful analytical tools are required for the separation and characterization of this extremely high compound diversity present in biological sample matrices. The use of mass spectrometry (MS)-based analytical platforms to profile stress-responsive metabolites that allow some plants to adapt to adverse environmental conditions is fundamental in current plant biotechnology research programs for the understanding and development of stress-tolerant plants. In this review, we describe recent applications of metabolomics and emphasize its increasing application to study plant responses to environmental (stress-) factors, including drought, salt, low oxygen caused by waterlogging or flooding of the soil, temperature, light and oxidative stress (or a combination of them). Advances in understanding the global changes occurring in plant metabolism under specific abiotic stress conditions are fundamental to enhance plant fitness and increase stress tolerance. © 2015 Wiley Periodicals, Inc. Mass Spec Rev 35:620-649, 2016.
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Affiliation(s)
- Tiago F Jorge
- Plant Metabolomics Laboratory, Instituto de Tecnologia Química e Biológica António Xavier-Universidade Nova de Lisboa (ITQB-UNL), Avenida República, 2780-157, Oeiras, Portugal
| | - João A Rodrigues
- Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal
| | - Camila Caldana
- Max-Planck-partner group at the Brazilian Bioethanol Science and Technology Laboratory/CNPEM, 13083-970, Campinas-SP, Brazil
| | - Romy Schmidt
- Institute of Biology I, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
| | - Joost T van Dongen
- Institute of Biology I, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
| | - Jane Thomas-Oates
- Jane Thomas-Oates, Centre of Excellence in Mass Spectrometry, and Department of Chemistry, University of York, Heslington, York, YO10 5DD, UK
| | - Carla António
- Plant Metabolomics Laboratory, Instituto de Tecnologia Química e Biológica António Xavier-Universidade Nova de Lisboa (ITQB-UNL), Avenida República, 2780-157, Oeiras, Portugal
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32
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Hill CB, Cassin A, Keeble-Gagnère G, Doblin MS, Bacic A, Roessner U. De novo transcriptome assembly and analysis of differentially expressed genes of two barley genotypes reveal root-zone-specific responses to salt exposure. Sci Rep 2016; 6:31558. [PMID: 27527578 PMCID: PMC4985707 DOI: 10.1038/srep31558] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2016] [Accepted: 07/19/2016] [Indexed: 01/03/2023] Open
Abstract
Plant roots are the first organs sensing and responding to salinity stress, manifested differentially between different root types, and also at the individual tissue and cellular level. High genetic diversity and the current lack of an assembled map-based sequence of the barley genome severely limit barley research potential. We used over 580 and 600 million paired-end reads, respectively, to create two de novo assemblies of a barley landrace (Sahara) and a malting cultivar (Clipper) with known contrasting responses to salinity. Generalized linear models were used to statistically access spatial, treatment-related, and genotype-specific responses. This revealed a spatial gene expression gradient along the barley root, with more differentially expressed transcripts detected between different root zones than between treatments. The root transcriptome also showed a gradual transition from transcripts related to sugar-mediated signaling at the root meristematic zone to those involved in cell wall metabolism in the elongation zone, and defense response-related pathways toward the maturation zone, with significant differences between the two genotypes. The availability of these additional transcriptome reference sets will serve as a valuable resource to the cereal research community, and may identify valuable traits to assist in breeding programmes.
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Affiliation(s)
- Camilla Beate Hill
- School of BioSciences, The University of Melbourne, Parkville, Vic 3010, Australia
| | - Andrew Cassin
- ARC Centre of Excellence in Plant Cell Walls, School of BioSciences, The University of Melbourne, Parkville, Vic 3010, Australia
| | - Gabriel Keeble-Gagnère
- School of BioSciences, The University of Melbourne, Parkville, Vic 3010, Australia
- School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
| | - Monika S. Doblin
- ARC Centre of Excellence in Plant Cell Walls, School of BioSciences, The University of Melbourne, Parkville, Vic 3010, Australia
| | - Antony Bacic
- ARC Centre of Excellence in Plant Cell Walls, School of BioSciences, The University of Melbourne, Parkville, Vic 3010, Australia
| | - Ute Roessner
- School of BioSciences, The University of Melbourne, Parkville, Vic 3010, Australia
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Canela N, Rodríguez MÁ, Baiges I, Nadal P, Arola L. Foodomics imaging by mass spectrometry and magnetic resonance. Electrophoresis 2016; 37:1748-67. [DOI: 10.1002/elps.201500494] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Revised: 12/22/2015] [Accepted: 01/05/2016] [Indexed: 12/12/2022]
Affiliation(s)
- Núria Canela
- Group of Research on Omic Methodologies (GROM); Universitat Rovira i Virgili; Reus Spain
- Centre for Omic Sciences (COS); Universitat Rovira i Virgili; Reus Spain
| | - Miguel Ángel Rodríguez
- Group of Research on Omic Methodologies (GROM); Universitat Rovira i Virgili; Reus Spain
- Centre for Omic Sciences (COS); Universitat Rovira i Virgili; Reus Spain
| | - Isabel Baiges
- Group of Research on Omic Methodologies (GROM); Universitat Rovira i Virgili; Reus Spain
- Centre for Omic Sciences (COS); Universitat Rovira i Virgili; Reus Spain
| | - Pedro Nadal
- Group of Research on Omic Methodologies (GROM); Universitat Rovira i Virgili; Reus Spain
- Centre for Omic Sciences (COS); Universitat Rovira i Virgili; Reus Spain
- Centre Tecnològic de Nutriciò i Salut (CTNS); Reus Spain
| | - Lluís Arola
- Centre for Omic Sciences (COS); Universitat Rovira i Virgili; Reus Spain
- Centre Tecnològic de Nutriciò i Salut (CTNS); Reus Spain
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34
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Daneri-Castro SN, Svensson B, Roberts TH. Barley germination: Spatio-temporal considerations for designing and interpreting ‘omics’ experiments. J Cereal Sci 2016. [DOI: 10.1016/j.jcs.2016.05.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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35
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Yoshinaga A, Kamitakahara H, Takabe K. Distribution of coniferin in differentiating normal and compression woods using MALDI mass spectrometric imaging coupled with osmium tetroxide vapor treatment. TREE PHYSIOLOGY 2016; 36:643-52. [PMID: 26507270 PMCID: PMC4886284 DOI: 10.1093/treephys/tpv116] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2015] [Accepted: 10/02/2015] [Indexed: 05/25/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) was employed to detect monolignol glucosides in differentiating normal and compression woods of two Japanese softwoods, Chamaecyparis obtusa and Cryptomeria japonica Comparison of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry collision-induced dissociation fragmentation analysis and structural time-of-flight (MALDI-TOF CID-FAST) spectra between coniferin and differentiating xylem also confirmed the presence of coniferin in differentiating xylem. However, as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and MALDI-TOF CID-FAST spectra of sucrose were similar to those of coniferin, it was difficult to distinguish the distribution of coniferin and sucrose using MALDI-MSI and collision-induced dissociation measurement only. To solve this problem, osmium tetroxide vapor was applied to sections of differentiating xylem. This vapor treatment caused peak shifts corresponding to the introduction of two hydroxyl groups to the C=C double bond in coniferin. The treatment did not cause a peak shift for sucrose, and therefore was effective in distinguishing coniferin and sucrose. Thus, it was found that MALDI-MSI combined with osmium tetroxide vapor treatment is a useful method to detect coniferin in differentiating xylem.
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Affiliation(s)
- Arata Yoshinaga
- Laboratory of Tree Cell Biology, Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502, Japan
| | - Hiroshi Kamitakahara
- Laboratory of The Chemistry of Biomaterials, Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502, Japan
| | - Keiji Takabe
- Laboratory of Tree Cell Biology, Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502, Japan
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36
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Gorzolka K, Kölling J, Nattkemper TW, Niehaus K. Spatio-Temporal Metabolite Profiling of the Barley Germination Process by MALDI MS Imaging. PLoS One 2016; 11:e0150208. [PMID: 26938880 PMCID: PMC4777520 DOI: 10.1371/journal.pone.0150208] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 02/10/2016] [Indexed: 12/11/2022] Open
Abstract
MALDI mass spectrometry imaging was performed to localize metabolites during the first seven days of the barley germination. Up to 100 mass signals were detected of which 85 signals were identified as 48 different metabolites with highly tissue-specific localizations. Oligosaccharides were observed in the endosperm and in parts of the developed embryo. Lipids in the endosperm co-localized in dependency on their fatty acid compositions with changes in the distributions of diacyl phosphatidylcholines during germination. 26 potentially antifungal hordatines were detected in the embryo with tissue-specific localizations of their glycosylated, hydroxylated, and O-methylated derivates. In order to reveal spatio-temporal patterns in local metabolite compositions, multiple MSI data sets from a time series were analyzed in one batch. This requires a new preprocessing strategy to achieve comparability between data sets as well as a new strategy for unsupervised clustering. The resulting spatial segmentation for each time point sample is visualized in an interactive cluster map and enables simultaneous interactive exploration of all time points. Using this new analysis approach and visualization tool germination-dependent developments of metabolite patterns with single MS position accuracy were discovered. This is the first study that presents metabolite profiling of a cereals' germination process over time by MALDI MSI with the identification of a large number of peaks of agronomically and industrially important compounds such as oligosaccharides, lipids and antifungal agents. Their detailed localization as well as the MS cluster analyses for on-tissue metabolite profile mapping revealed important information for the understanding of the germination process, which is of high scientific interest.
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Affiliation(s)
- Karin Gorzolka
- Proteome and Metabolome Research, Faculty of Biology, Center for Biotechnology (CeBiTec), Bielefeld, Germany
| | - Jan Kölling
- Biodata Mining, Faculty of Technology, Center for Biotechnology (CeBiTec), Bielefeld, Germany.,International Research Training Group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes", Bielefeld University, Bielefeld, Germany
| | - Tim W Nattkemper
- Biodata Mining, Faculty of Technology, Center for Biotechnology (CeBiTec), Bielefeld, Germany
| | - Karsten Niehaus
- Proteome and Metabolome Research, Faculty of Biology, Center for Biotechnology (CeBiTec), Bielefeld, Germany
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37
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Peukert M, Thiel J, Mock HP, Marko D, Weschke W, Matros A. Spatiotemporal Dynamics of Oligofructan Metabolism and Suggested Functions in Developing Cereal Grains. FRONTIERS IN PLANT SCIENCE 2016; 6:1245. [PMID: 26834760 PMCID: PMC4717867 DOI: 10.3389/fpls.2015.01245] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 12/21/2015] [Indexed: 05/21/2023]
Abstract
Oligofructans represent one of the most important groups of sucrose-derived water-soluble carbohydrates in the plant kingdom. In cereals, oligofructans accumulate in above ground parts of the plants (stems, leaves, seeds) and their biosynthesis leads to the formation of both types of glycosidic linkages [β(2,1); β(2,6)-fructans] or mixed patterns. In recent studies, tissue- and development- specific distribution patterns of the various oligofructan types in cereal grains have been shown, which are possibly related to the different phases of grain development, such as cellular differentiation of grain tissues and storage product accumulation. Here, we summarize the current knowledge about oligofructan biosynthesis and accumulation kinetics in cereal grains. We focus on the spatiotemporal dynamics and regulation of oligofructan biosynthesis and accumulation in developing barley grains (deduced from a combination of metabolite, transcript and proteome analyses). Finally, putative physiological functions of oligofructans in developing grains are discussed.
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Affiliation(s)
- Manuela Peukert
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK-Gatersleben)Gatersleben, Germany
- University of CologneCologne, Germany
| | - Johannes Thiel
- Plant Architecture Group, IPK-GaterslebenGatersleben, Germany
| | - Hans-Peter Mock
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK-Gatersleben)Gatersleben, Germany
| | - Doris Marko
- Department of Food Chemistry and Toxicology, University of ViennaVienna, Austria
| | | | - Andrea Matros
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK-Gatersleben)Gatersleben, Germany
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Dong Y, Li B, Malitsky S, Rogachev I, Aharoni A, Kaftan F, Svatoš A, Franceschi P. Sample Preparation for Mass Spectrometry Imaging of Plant Tissues: A Review. FRONTIERS IN PLANT SCIENCE 2016; 7:60. [PMID: 26904042 PMCID: PMC4748743 DOI: 10.3389/fpls.2016.00060] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 01/14/2016] [Indexed: 05/18/2023]
Abstract
Mass spectrometry imaging (MSI) is a mass spectrometry based molecular ion imaging technique. It provides the means for ascertaining the spatial distribution of a large variety of analytes directly on tissue sample surfaces without any labeling or staining agents. These advantages make it an attractive molecular histology tool in medical, pharmaceutical, and biological research. Likewise, MSI has started gaining popularity in plant sciences; yet, information regarding sample preparation methods for plant tissues is still limited. Sample preparation is a crucial step that is directly associated with the quality and authenticity of the imaging results, it therefore demands in-depth studies based on the characteristics of plant samples. In this review, a sample preparation pipeline is discussed in detail and illustrated through selected practical examples. In particular, special concerns regarding sample preparation for plant imaging are critically evaluated. Finally, the applications of MSI techniques in plants are reviewed according to different classes of plant metabolites.
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Affiliation(s)
- Yonghui Dong
- Biostatistics and Data Management, Research and Innovation Centre - Fondazione Edmund MachS. Michele all'Adige, Italy
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Bin Li
- Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-ChampaignUrbana, IL, USA
| | - Sergey Malitsky
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Ilana Rogachev
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Filip Kaftan
- Research Group Mass Spectrometry/Proteomics, Max Planck Institute for Chemical EcologyJena, Germany
| | - Aleš Svatoš
- Research Group Mass Spectrometry/Proteomics, Max Planck Institute for Chemical EcologyJena, Germany
| | - Pietro Franceschi
- Biostatistics and Data Management, Research and Innovation Centre - Fondazione Edmund MachS. Michele all'Adige, Italy
- *Correspondence: Pietro Franceschi
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Li B, Dunham SJ, Dong Y, Yoon S, Zeng M, Sweedler JV. Analytical capabilities of mass spectrometry imaging and its potential applications in food science. Trends Food Sci Technol 2016. [DOI: 10.1016/j.tifs.2015.10.018] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Handberg E, Chingin K, Wang N, Dai X, Chen H. Mass spectrometry imaging for visualizing organic analytes in food. MASS SPECTROMETRY REVIEWS 2015; 34:641-58. [PMID: 24687728 DOI: 10.1002/mas.21424] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Revised: 02/18/2014] [Accepted: 02/18/2014] [Indexed: 05/27/2023]
Abstract
The demand for rapid chemical imaging of food products steadily increases. Mass spectrometry (MS) is featured by excellent molecular specificity of analysis and is, therefore, a very attractive method for chemical profiling. MS for food imaging has increased significantly over the past decade, aided by the emergence of various ambient ionization techniques that allow direct and rapid analysis in ambient environment. In this article, the current status of food imaging with MSI is reviewed. The described approaches include matrix-assisted laser desorption/ionization (MALDI), but emphasize desorption atmospheric pressure photoionization (DAPPI), electrospray-assisted laser desorption/ionization (ELDI), probe electrospray ionization (PESI), surface desorption atmospheric pressure chemical ionization (SDAPCI), and laser ablation flowing atmospheric pressure afterglow (LA-FAPA). The methods are compared with regard to spatial resolution; analysis speed and time; limit of detection; and technical aspects. The performance of each method is illustrated with the description of a related application. Specific requirements in food imaging are discussed.
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Affiliation(s)
- Eric Handberg
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, Department of Applied Chemistry, East China Institute of Technology, Nanchang, 330013, P.R. China
| | - Konstantin Chingin
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, Department of Applied Chemistry, East China Institute of Technology, Nanchang, 330013, P.R. China
| | - Nannan Wang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, Department of Applied Chemistry, East China Institute of Technology, Nanchang, 330013, P.R. China
| | - Ximo Dai
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, Department of Applied Chemistry, East China Institute of Technology, Nanchang, 330013, P.R. China
| | - Huanwen Chen
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, Department of Applied Chemistry, East China Institute of Technology, Nanchang, 330013, P.R. China
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41
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Boughton BA, Thinagaran D, Sarabia D, Bacic A, Roessner U. Mass spectrometry imaging for plant biology: a review. PHYTOCHEMISTRY REVIEWS : PROCEEDINGS OF THE PHYTOCHEMICAL SOCIETY OF EUROPE 2015; 15:445-488. [PMID: 27340381 PMCID: PMC4870303 DOI: 10.1007/s11101-015-9440-2] [Citation(s) in RCA: 155] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 09/25/2015] [Indexed: 05/09/2023]
Abstract
Mass spectrometry imaging (MSI) is a developing technique to measure the spatio-temporal distribution of many biomolecules in tissues. Over the preceding decade, MSI has been adopted by plant biologists and applied in a broad range of areas, including primary metabolism, natural products, plant defense, plant responses to abiotic and biotic stress, plant lipids and the developing field of spatial metabolomics. This review covers recent advances in plant-based MSI, general aspects of instrumentation, analytical approaches, sample preparation and the current trends in respective plant research.
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Affiliation(s)
- Berin A. Boughton
- />Metabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Dinaiz Thinagaran
- />School of BioSciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Daniel Sarabia
- />School of BioSciences, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Antony Bacic
- />School of BioSciences, The University of Melbourne, Parkville, VIC 3010 Australia
- />ARC Centre of Excellence in Plant Cell Walls, School of BioSciences, University of Melbourne, Parkville, VIC 3010 Australia
- />Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC 3010 Australia
| | - Ute Roessner
- />School of BioSciences, The University of Melbourne, Parkville, VIC 3010 Australia
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Sumner LW, Lei Z, Nikolau BJ, Saito K. Modern plant metabolomics: advanced natural product gene discoveries, improved technologies, and future prospects. Nat Prod Rep 2015; 32:212-29. [PMID: 25342293 DOI: 10.1039/c4np00072b] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Plant metabolomics has matured and modern plant metabolomics has accelerated gene discoveries and the elucidation of a variety of plant natural product biosynthetic pathways. This review covers the approximate period of 2000 to 2014, and highlights specific examples of the discovery and characterization of novel genes and enzymes associated with the biosynthesis of natural products such as flavonoids, glucosinolates, terpenoids, and alkaloids. Additional examples of the integration of metabolomics with genome-based functional characterizations of plant natural products that are important to modern pharmaceutical technology are also reviewed. This article also provides a substantial review of recent technical advances in mass spectrometry imaging, nuclear magnetic resonance imaging, integrated LC-MS-SPE-NMR for metabolite identifications, and X-ray crystallography of microgram quantities for structural determinations. The review closes with a discussion on the future prospects of metabolomics related to crop species and herbal medicine.
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Affiliation(s)
- Lloyd W Sumner
- The Samuel Roberts Noble Foundation, Plant Biology Division, 2510 Sam Noble Parkway, Ardmore, OK, USA.
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43
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Feussner I, Polle A. What the transcriptome does not tell - proteomics and metabolomics are closer to the plants' patho-phenotype. CURRENT OPINION IN PLANT BIOLOGY 2015; 26:26-31. [PMID: 26051215 DOI: 10.1016/j.pbi.2015.05.023] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Revised: 05/18/2015] [Accepted: 05/18/2015] [Indexed: 05/18/2023]
Abstract
The proteome and metabolome of the plant provide a wealth of additional information on plant-microbe interactions since they not only represent additional levels of regulation, but often they harbor the end products of regulatory processes. Proteomics has contributed to our understanding of plant-microbe research by increasing the spatial resolution of the analysis within the infected tissue, because components of the basal immunity were uncovered in the apoplast. Metabolomics has developed into a powerful approach to discover the role of small molecules during plant-microbe interactions in non-model plants since it does not depend on the availability of genome or transcriptome data. Moreover, novel molecules involved in systemic acquired resistance and the precursors for the formation of molecules that provide physical barriers to prevent spreading of pathogens were identified.
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Affiliation(s)
- Ivo Feussner
- Georg-August-University, Albrecht-von-Haller-Institute for Plant Sciences, Department of Plant Biochemistry, Justus-von-Liebig-Weg 11, 37077 Göttingen, Germany.
| | - Andrea Polle
- Georg-August University, Büsgen-Institute, Department for Forest Botany and Tree Physiology, Büsgenweg 2, 37077 Göttingen, Germany
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Takahashi K, Kozuka T, Anegawa A, Nagatani A, Mimura T. Development and Application of a High-Resolution Imaging Mass Spectrometer for the Study of Plant Tissues. PLANT & CELL PHYSIOLOGY 2015; 56:1329-38. [PMID: 26063395 DOI: 10.1093/pcp/pcv083] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 05/30/2015] [Indexed: 05/27/2023]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) or imaging mass spectrometry (imaging MS) has been a powerful tool to map the spatial distribution of molecules on the surface of biological materials. This technique has frequently been applied to animal tissue slices for the purpose of mapping proteins, peptides, lipids, sugars or small metabolites to find disease-specific biomarkers or to study drug metabolism. Recently, it has also been applied to intact plant tissues or thin slices thereof using commercial mass spectrometers. The present work is concerned with the refinement of MALDI/laser desorption/ionization (LDI)-Fourier transform ion cyclotron resonance (FTICR)-MS incorporating certain specific features namely, ultra-high mass resolution (>100,000), ultra-high molecular mass accuracy (<1 p.p.m.) and high spatial resolution (<10 µm) for imaging MS of plant tissues. Employing an in-house built mass spectrometer, the imaging MS analysis of intact Arabidopsis thaliana tissues, namely etiolated seedlings and roots of seedlings, glued to a small transparent ITO (indium tin oxide)-coated conductive glass was performed. A matrix substance was applied to the vacuum-dried intact tissues by sublimation prior to the imaging MS analysis. The images of various small metabolites representing their two-dimensional distribution on the dried intact tissues were obtained with or without different matrix substances. The effects of MALDI matrices on the ionization of small metabolites during imaging MS acquisition are discussed.
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Affiliation(s)
- Katsutoshi Takahashi
- National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8568 Japan
| | - Toshiaki Kozuka
- Kyoto University, Kyoto, 606-8502 Japan Hiroshima University, Hiroshima, 739-8526 Japan These authors contributed equally to this work
| | - Aya Anegawa
- Kobe University, Kobe, 657-8501 Japan These authors contributed equally to this work
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45
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Jones OAH, Dias DA, Callahan DL, Kouremenos KA, Beale DJ, Roessner U. The use of metabolomics in the study of metals in biological systems. Metallomics 2015; 7:29-38. [DOI: 10.1039/c4mt00123k] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Metabolomics and systems biology/toxicology can elucidate novel pathways and mechanistic networks of metals and metalloids in biological systems, as well as providing useful biomarkers of the metal status of organisms.
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Affiliation(s)
| | - Daniel A. Dias
- Metabolomics Australia
- School of Botany
- The University of Melbourne
- Parkville, Australia
| | - Damien L. Callahan
- Centre for Chemistry and Biotechnology
- School of Life and Environmental Sciences
- Deakin University
- Melbourne VIC 3125, Australia
| | - Konstantinos A. Kouremenos
- Metabolomics Australia
- Bio21 Molecular Science and Biotechnology Institute
- The University of Melbourne
- , Australia
| | - David J. Beale
- Commonwealth Scientific and Industrial Research Organisation (CSIRO)
- Land and Water
- Highett, Australia
| | - Ute Roessner
- Metabolomics Australia
- School of Botany
- The University of Melbourne
- Parkville, Australia
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46
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Falter C, Ellinger D, von Hülsen B, Heim R, Voigt CA. Simple preparation of plant epidermal tissue for laser microdissection and downstream quantitative proteome and carbohydrate analysis. FRONTIERS IN PLANT SCIENCE 2015; 6:194. [PMID: 25870605 PMCID: PMC4375982 DOI: 10.3389/fpls.2015.00194] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2015] [Accepted: 03/11/2015] [Indexed: 05/08/2023]
Abstract
The outwardly directed cell wall and associated plasma membrane of epidermal cells represent the first layers of plant defense against intruding pathogens. Cell wall modifications and the formation of defense structures at sites of attempted pathogen penetration are decisive for plant defense. A precise isolation of these stress-induced structures would allow a specific analysis of regulatory mechanism and cell wall adaption. However, methods for large-scale epidermal tissue preparation from the model plant Arabidopsis thaliana, which would allow proteome and cell wall analysis of complete, laser-microdissected epidermal defense structures, have not been provided. We developed the adhesive tape - liquid cover glass technique (ACT) for simple leaf epidermis preparation from A. thaliana, which is also applicable on grass leaves. This method is compatible with subsequent staining techniques to visualize stress-related cell wall structures, which were precisely isolated from the epidermal tissue layer by laser microdissection (LM) coupled to laser pressure catapulting. We successfully demonstrated that these specific epidermal tissue samples could be used for quantitative downstream proteome and cell wall analysis. The development of the ACT for simple leaf epidermis preparation and the compatibility to LM and downstream quantitative analysis opens new possibilities in the precise examination of stress- and pathogen-related cell wall structures in epidermal cells. Because the developed tissue processing is also applicable on A. thaliana, well-established, model pathosystems that include the interaction with powdery mildews can be studied to determine principal regulatory mechanisms in plant-microbe interaction with their potential outreach into crop breeding.
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Affiliation(s)
| | | | | | | | - Christian A. Voigt
- *Correspondence: Christian A. Voigt, Phytopathology and Biochemistry, Biocenter Klein Flottbek, University of Hamburg, Ohnhorststrasse 18, 22609 Hamburg, Germany
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47
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Bhandari DR, Wang Q, Friedt W, Spengler B, Gottwald S, Römpp A. High resolution mass spectrometry imaging of plant tissues: towards a plant metabolite atlas. Analyst 2015; 140:7696-709. [DOI: 10.1039/c5an01065a] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Label-free chemical imaging of a wide range of metabolites in all major plant organs acquired at high spatial resolution.
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Affiliation(s)
- Dhaka Ram Bhandari
- Justus Liebig University Giessen
- Institute of Inorganic and Analytical Chemistry
- 35392 Giessen
- Germany
| | - Qing Wang
- Justus Liebig University Giessen
- Department of Plant Breeding
- IFZ
- Justus Liebig University Giessen
- 35392 Giessen
| | - Wolfgang Friedt
- Justus Liebig University Giessen
- Department of Plant Breeding
- IFZ
- Justus Liebig University Giessen
- 35392 Giessen
| | - Bernhard Spengler
- Justus Liebig University Giessen
- Institute of Inorganic and Analytical Chemistry
- 35392 Giessen
- Germany
| | - Sven Gottwald
- Justus Liebig University Giessen
- Department of Plant Breeding
- IFZ
- Justus Liebig University Giessen
- 35392 Giessen
| | - Andreas Römpp
- Justus Liebig University Giessen
- Institute of Inorganic and Analytical Chemistry
- 35392 Giessen
- Germany
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48
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Crecelius AC, Schubert US, von Eggeling F. MALDI mass spectrometric imaging meets “omics”: recent advances in the fruitful marriage. Analyst 2015; 140:5806-20. [DOI: 10.1039/c5an00990a] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI MSI) is a method that allows the investigation of the molecular content of surfaces, in particular, tissues, within its morphological context.
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Affiliation(s)
- A. C. Crecelius
- Laboratory of Organic and Macromolecular Chemistry (IOMC)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Jena Center for Soft Matter (JCSM)
| | - U. S. Schubert
- Laboratory of Organic and Macromolecular Chemistry (IOMC)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Jena Center for Soft Matter (JCSM)
| | - F. von Eggeling
- Jena Center for Soft Matter (JCSM)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Institute of Physical Chemistry
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49
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Kusari S, Lamshöft M, Kusari P, Gottfried S, Zühlke S, Louven K, Hentschel U, Kayser O, Spiteller M. Endophytes are hidden producers of maytansine in Putterlickia roots. JOURNAL OF NATURAL PRODUCTS 2014; 77:2577-84. [PMID: 25478947 DOI: 10.1021/np500219a] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Several recent studies have lent evidence to the fact that certain so-called plant metabolites are actually biosynthesized by associated microorganisms. In this work, we show that the original source organism(s) responsible for the biosynthesis of the important anticancer and cytotoxic compound maytansine is the endophytic bacterial community harbored specifically within the roots of Putterlickia verrucosa and P. retrospinosa plants. Evaluation of the root endophytic community by chemical characterization of their fermentation products using HPLC-HRMS(n), along with a selective microbiological assay using the maytansine-sensitive type strain Hamigera avellanea revealed the endophytic production of maytansine. This was further confirmed by the presence of AHBA synthase genes in the root endophytic communities. Finally, MALDI-imaging-HRMS was used to demonstrate that maytansine produced by the endophytes is typically accumulated mainly in the root cortex of both plants. Our study, thus, reveals that maytansine is actually a biosynthetic product of root-associated endophytic microorganisms. The knowledge gained from this study provides fundamental insights on the biosynthesis of so-called plant metabolites by endophytes residing in distinct ecological niches.
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Affiliation(s)
- Souvik Kusari
- Institute of Environmental Research (INFU), Department of Chemistry and Chemical Biology, Chair of Environmental Chemistry and Analytical Chemistry, TU Dortmund , Otto-Hahn-Straße 6, D-44221 Dortmund, Germany
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50
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Affiliation(s)
- Bernhard Spengler
- Justus Liebig University Giessen, Institute of Inorganic and Analytical
Chemistry, Schubertstrasse
60, Building 16, 35392 Giessen, Germany
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