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Holden CA, McAinsh MR, Taylor JE, Beckett P, Albacete A, Martínez-Andújar C, Morais CLM, Martin FL. Attenuated total reflection Fourier-transform infrared spectroscopy for the prediction of hormone concentrations in plants. Analyst 2024; 149:3380-3395. [PMID: 38712606 DOI: 10.1039/d3an01817b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Plant hormones are important in the control of physiological and developmental processes including seed germination, senescence, flowering, stomatal aperture, and ultimately the overall growth and yield of plants. Many currently available methods to quantify such growth regulators quickly and accurately require extensive sample purification using complex analytic techniques. Herein we used ultra-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) to create and validate the prediction of hormone concentrations made using attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectral profiles of both freeze-dried ground leaf tissue and extracted xylem sap of Japanese knotweed (Reynoutria japonica) plants grown under different environmental conditions. In addition to these predictions made with partial least squares regression, further analysis of spectral data was performed using chemometric techniques, including principal component analysis, linear discriminant analysis, and support vector machines (SVM). Plants grown in different environments had sufficiently different biochemical profiles, including plant hormonal compounds, to allow successful differentiation by ATR-FTIR spectroscopy coupled with SVM. ATR-FTIR spectral biomarkers highlighted a range of biomolecules responsible for the differing spectral signatures between growth environments, such as triacylglycerol, proteins and amino acids, tannins, pectin, polysaccharides such as starch and cellulose, DNA and RNA. Using partial least squares regression, we show the potential for accurate prediction of plant hormone concentrations from ATR-FTIR spectral profiles, calibrated with hormonal data quantified by UHPLC-HRMS. The application of ATR-FTIR spectroscopy and chemometrics offers accurate prediction of hormone concentrations in plant samples, with advantages over existing approaches.
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Affiliation(s)
- Claire A Holden
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
| | - Martin R McAinsh
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
| | - Jane E Taylor
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
| | | | - Alfonso Albacete
- Institute for Agro-Environmental Research and Development of Murcia (IMIDA), Department of Plant Production and Agrotechnology, C/ Mayor s/n, La Alberca, E-30150 Murcia, Spain
- CEBAS-CSIC, Department of Plant Nutrition, Campus Universitario de Espinardo, E-30100 Murcia, Spain
| | | | - Camilo L M Morais
- Center for Education, Science and Technology of the Inhamuns Region, State University of Ceará, Tauá 63660-000, Brazil
- Graduate Program in Chemistry, Institute of Chemistry, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil
| | - Francis L Martin
- Department of Cellular Pathology, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool FY3 8NR, UK.
- Biocel UK Ltd, Hull HU10 6TS, UK
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Jin N, Song J, Wang Y, Yang K, Zhang D. Biospectroscopic fingerprinting phytotoxicity towards environmental monitoring for food security and contaminated site remediation. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133515. [PMID: 38228003 DOI: 10.1016/j.jhazmat.2024.133515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/18/2023] [Accepted: 01/10/2024] [Indexed: 01/18/2024]
Abstract
Human activities have resulted in severe environmental pollution since the industrial revolution. Phytotoxicity-based environmental monitoring is well known due to its sedentary nature, abundance, and sensitivity to environmental changes, which are essential preconditions to avoiding potential environmental and ecological risks. However, conventional morphological and physiological methods for phytotoxicity assessment mainly focus on descriptive determination rather than mechanism analysis and face challenges of labour and time-consumption, lack of standardized protocol and difficulties in data interpretation. Molecular-based tests could reveal the toxicity mechanisms but fail in real-time and in-situ monitoring because of their endpoint manner and destructive operation in collecting cellular components. Herein, we systematically propose and lay out a biospectroscopic tool (e.g., infrared and Raman spectroscopy) coupled with multivariate data analysis as a relatively non-destructive and high-throughput approach to quantitatively measure phytotoxicity levels and qualitatively profile phytotoxicity mechanisms by classifying spectral fingerprints of biomolecules in plant tissues in response to environmental stresses. With established databases and multivariate analysis, this biospectroscopic fingerprinting approach allows ultrafast, in situ and on-site diagnosis of phytotoxicity. Overall, the proposed protocol and validation of biospectroscopic fingerprinting phytotoxicity can distinguish the representative biomarkers and interrogate the relevant mechanisms to quantify the stresses of interest, e.g., environmental pollutants. This state-of-the-art concept and design broaden the knowledge of phytotoxicity assessment, advance novel implementations of phytotoxicity assay, and offer vast potential for long-term field phytotoxicity monitoring trials in situ.
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Affiliation(s)
- Naifu Jin
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Jiaxuan Song
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Yingying Wang
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Kai Yang
- College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Dayi Zhang
- Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Changchun 130021, PR China; College of New Energy and Environment, Jilin University, Changchun 130021, PR China; Key Laboratory of Regional Environment and Eco-restoration, Ministry of Education, Shenyang University, Shenyang 110044, PR China.
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Zavafer A, Ball MC. Good vibrations: Raman spectroscopy enables insights into plant biochemical composition. FUNCTIONAL PLANT BIOLOGY : FPB 2023; 50:1-16. [PMID: 36592984 DOI: 10.1071/fp21335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 09/20/2022] [Indexed: 06/17/2023]
Abstract
Non-invasive techniques are needed to enable an integrated understanding of plant metabolic responses to environmental stresses. Raman spectroscopy is one such technique, allowing non-destructive chemical characterisation of samples in situ and in vivo and resolving the chemical composition of plant material at scales from microns to metres. Here, we review Raman band assignments of pigments, structural and non-structural carbohydrates, lipids, proteins and secondary metabolites in plant material and consider opportunities this technology raises for studies in vascular plant physiology.
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Affiliation(s)
- Alonso Zavafer
- Plant Science Division, Research School of Biology, The Australian National University, Canberra, ACT 2000, Australia; and Climate Change Cluster, University of Technology Sydney, Ultimo, NSW 2001, Australia; and Present address: Department Biological Sciences and Yousef Haj-Ahmad Department of Engineering, Brock University, St. Catherines, ON, Canada
| | - Marilyn C Ball
- Plant Science Division, Research School of Biology, The Australian National University, Canberra, ACT 2000, Australia
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Holden CA, Bailey JP, Taylor JE, Martin F, Beckett P, McAinsh M. Know your enemy: Application of ATR-FTIR spectroscopy to invasive species control. PLoS One 2022; 17:e0261742. [PMID: 34995300 PMCID: PMC8740966 DOI: 10.1371/journal.pone.0261742] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/08/2021] [Indexed: 11/29/2022] Open
Abstract
Extreme weather and globalisation leave our climate vulnerable to invasion by alien species, which have negative impacts on the economy, biodiversity, and ecosystem services. Rapid and accurate identification is key to the control of invasive alien species. However, visually similar species hinder conservation efforts, for example hybrids within the Japanese Knotweed complex.We applied the novel method of ATR-FTIR spectroscopy combined with chemometrics (mathematics applied to chemical data) to historic herbarium samples, taking 1580 spectra in total. Samples included five species from within the interbreeding Japanese Knotweed complex (including three varieties of Japanese Knotweed), six hybrids and five species from the wider Polygonaceae family. Spectral data from herbarium specimens were analysed with several chemometric techniques: support vector machines (SVM) for differentiation between plant types, supported by ploidy levels; principal component analysis loadings and spectral biomarkers to explore differences between the highly invasive Reynoutria japonica var. japonica and its non-invasive counterpart Reynoutria japonica var. compacta; hierarchical cluster analysis (HCA) to investigate the relationship between plants within the Polygonaceae family, of the Fallopia, Reynoutria, Rumex and Fagopyrum genera.ATR-FTIR spectroscopy coupled with SVM successfully differentiated between plant type, leaf surface and geographical location, even in herbarium samples of varying age. Differences between Reynoutria japonica var. japonica and Reynoutria japonica var. compacta included the presence of two polysaccharides, glucomannan and xyloglucan, at higher concentrations in Reynoutria japonica var. japonica than Reynoutria japonica var. compacta. HCA analysis indicated that potential genetic linkages are sometimes masked by environmental factors; an effect that can either be reduced or encouraged by altering the input parameters. Entering the absorbance values for key wavenumbers, previously highlighted by principal component analysis loadings, favours linkages in the resultant HCA dendrogram corresponding to expected genetic relationships, whilst environmental associations are encouraged using the spectral fingerprint region.The ability to distinguish between closely related interbreeding species and hybrids, based on their spectral signature, raises the possibility of using this approach for determining the origin of Japanese knotweed infestations in legal cases where the clonal nature of plants currently makes this difficult and for the targeted control of species and hybrids. These techniques also provide a new method for supporting biogeographical studies.
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Affiliation(s)
- Claire Anne Holden
- Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
| | - John Paul Bailey
- Department of Genetics and Genome Biology, Leicester University, Leicester, United Kingdom
| | | | | | | | - Martin McAinsh
- Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
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Holden CA, Morais CLM, Taylor JE, Martin FL, Beckett P, McAinsh M. Regional differences in clonal Japanese knotweed revealed by chemometrics-linked attenuated total reflection Fourier-transform infrared spectroscopy. BMC PLANT BIOLOGY 2021; 21:522. [PMID: 34753418 PMCID: PMC8579538 DOI: 10.1186/s12870-021-03293-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 10/19/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Japanese knotweed (R. japonica var japonica) is one of the world's 100 worst invasive species, causing crop losses, damage to infrastructure, and erosion of ecosystem services. In the UK, this species is an all-female clone, which spreads by vegetative reproduction. Despite this genetic continuity, Japanese knotweed can colonise a wide variety of environmental habitats. However, little is known about the phenotypic plasticity responsible for the ability of Japanese knotweed to invade and thrive in such diverse habitats. We have used attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy, in which the spectral fingerprint generated allows subtle differences in composition to be clearly visualized, to examine regional differences in clonal Japanese knotweed. RESULTS We have shown distinct differences in the spectral fingerprint region (1800-900 cm- 1) of Japanese knotweed from three different regions in the UK that were sufficient to successfully identify plants from different geographical regions with high accuracy using support vector machine (SVM) chemometrics. CONCLUSIONS These differences were not correlated with environmental variations between regions, raising the possibility that epigenetic modifications may contribute to the phenotypic plasticity responsible for the ability of R. japonica to invade and thrive in such diverse habitats.
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Affiliation(s)
- Claire A Holden
- Lancaster Environment Centre, Lancaster University, Lancaster, UK.
| | - Camilo L M Morais
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Jane E Taylor
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | | | | | - Martin McAinsh
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
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