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The use of metabolomical analyses for fungal Phytopathological diagnosis
Dissertation (MSc (Medicinal Plant Sciences))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613638710263808 |
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| access_status_str | Open Access |
| author2 | Meyer, Marion |
| author_browse | Meyer, Marion |
| author_facet | Meyer, Marion |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc (Medicinal Plant Sciences))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/94842 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:19.648Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/94842 The use of metabolomical analyses for fungal Phytopathological diagnosis Meyer, Marion gabrielgabechir@gmail.com Berger, David Kenneth Kritzinger, Quenton Chirundu, Gabriel UCTD Metabolomics Cercospora zeina Fusarium vericillioides Gas chromatography mass spectrometry Nuclear magnetic resonance Sustainable Development Goals (SDGs) SDG-02: Zero hunger Natural and agricultural sciences theses SDG-02 SDG-03: Good health and well-being Natural and agricultural sciences theses SDG-03 Dissertation (MSc (Medicinal Plant Sciences))--University of Pretoria, 2023. Metabolomic data analysis involves assessing, identifying, and quantifying all metabolites, endogenous and exogenous, within biological samples. It allows the global assessment of the cellular state in the context of the immediate environment as it considers gene expression, genetic regulation, enzyme regulation, altered kinetic activity as well as changes in metabolic reactions. Plants being sessile organisms, depend heavily on metabolites to defend themselves against various pathogen attacks e.g., fungi. Metabolomic analysis has been used to determine the defensive metabolites associated with plant pathogens with the aim of understanding both the defense mechanisms of the plant, and infection mechanisms of the pathogen for better disease control and prevention. This study aimed to assess whether metabolomic and chemical fingerprint analyses can be used in early disease diagnosis as it analyses the state of the plant’s physiological changes due to fungal pathogen infection, its proficiency in measuring disease severity, and identifying possible pathogen-related biomarkers. The fungal pathogens that were a point of focus for this study were Cercospora zeina which causes grey leaf spot, a devastating maize foliar disease characterized by necrotic lesions, and Fusarium verticillioides, which produces fumonisin mycotoxins that can plant growth. Maize leaf samples showing different stages of disease severity were collected from a field trial by Syngenta in Howick. Some samples were collected from plants grown in a glasshouse and inoculated with C. zeina in vitro. Cowpea seeds were inoculated in vitro with F. verticillioides and grown in a phytotron. Metabolites were extracted from the leaf samples and analysed using NMR and GCMS to detect changes in the plants' metabolome, as these techniques encompass both spectroscopic and volatile organic compounds detection. Maize samples’ NMR results showed significant differences between the infected and healthy plants, in both the field trial and glasshouse trial. The NMR data of cowpea samples showed minor differences. However, the GCMS data for both pathosystems showed significant differences between inoculated and uninoculated samples, and certain potential disease-related biomarkers were observed in the chromatograms. These biomarkers shared similarities to hexadecanoic acid, 1-(hydroxymethyl)-1,2- ethanediyl ester, 9,12,15-octadecatrienoic acid, 1,3-dimethoxypropan-2-yl palmitate and butyl-9,12,15- octadecatrienoate. From the results obtained we can conclude that metabolomic and chemical fingerprint analyses are efficient tools in successfully diagnosing plant fungal diseases by indicating various diseaserelated biomarkers, that can be used for pathogen infection diagnosis National Research Fund Plant Science MSc (Medicinal Plant Sciences) Unrestricted Faculty of Natural and Agricultural Sciences 2024-02-22T12:50:42Z 2024-02-22T12:50:42Z 2024-04-15 2023-10 Dissertation * A2024 http://hdl.handle.net/2263/94842 10.25403/UPresearchdata.25262740 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Metabolomics Cercospora zeina Fusarium vericillioides Gas chromatography mass spectrometry Nuclear magnetic resonance Sustainable Development Goals (SDGs) SDG-02: Zero hunger Natural and agricultural sciences theses SDG-02 SDG-03: Good health and well-being Natural and agricultural sciences theses SDG-03 The use of metabolomical analyses for fungal Phytopathological diagnosis |
| title | The use of metabolomical analyses for fungal Phytopathological diagnosis |
| title_full | The use of metabolomical analyses for fungal Phytopathological diagnosis |
| title_fullStr | The use of metabolomical analyses for fungal Phytopathological diagnosis |
| title_full_unstemmed | The use of metabolomical analyses for fungal Phytopathological diagnosis |
| title_short | The use of metabolomical analyses for fungal Phytopathological diagnosis |
| title_sort | use of metabolomical analyses for fungal phytopathological diagnosis |
| topic | UCTD Metabolomics Cercospora zeina Fusarium vericillioides Gas chromatography mass spectrometry Nuclear magnetic resonance Sustainable Development Goals (SDGs) SDG-02: Zero hunger Natural and agricultural sciences theses SDG-02 SDG-03: Good health and well-being Natural and agricultural sciences theses SDG-03 |
| url | http://hdl.handle.net/2263/94842 |