Fighting fungal pathogens with big data: new computational approaches for effector discovery and crop disease management
Fungal plant-pathogens are a major contributor to crop yield loss. In this thesis we developed state of the art computational methods to predict molecular determinants of pathogen virulence. We have also performed the first population genetic and pan-genomic analysis of a major wheat pathogen in WA,...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/85748 |
| _version_ | 1848764769150959616 |
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| author | Jones, Darcy Adam Bain |
| author_facet | Jones, Darcy Adam Bain |
| author_sort | Jones, Darcy Adam Bain |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Fungal plant-pathogens are a major contributor to crop yield loss. In this thesis we developed state of the art computational methods to predict molecular determinants of pathogen virulence. We have also performed the first population genetic and pan-genomic analysis of a major wheat pathogen in WA, Parastagonospora nodorum. This thesis has provided a valuable suite of methods and insights into plant pathogen genetics, ranging from the molecular level to the population level. |
| first_indexed | 2025-11-14T11:24:37Z |
| format | Thesis |
| id | curtin-20.500.11937-85748 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:24:37Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-857482021-09-29T00:15:34Z Fighting fungal pathogens with big data: new computational approaches for effector discovery and crop disease management Jones, Darcy Adam Bain Fungal plant-pathogens are a major contributor to crop yield loss. In this thesis we developed state of the art computational methods to predict molecular determinants of pathogen virulence. We have also performed the first population genetic and pan-genomic analysis of a major wheat pathogen in WA, Parastagonospora nodorum. This thesis has provided a valuable suite of methods and insights into plant pathogen genetics, ranging from the molecular level to the population level. 2021 Thesis http://hdl.handle.net/20.500.11937/85748 Curtin University fulltext |
| spellingShingle | Jones, Darcy Adam Bain Fighting fungal pathogens with big data: new computational approaches for effector discovery and crop disease management |
| title | Fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management |
| title_full | Fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management |
| title_fullStr | Fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management |
| title_full_unstemmed | Fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management |
| title_short | Fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management |
| title_sort | fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management |
| url | http://hdl.handle.net/20.500.11937/85748 |