Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology
Peer-reviewed literature is today littered with exciting new tools and techniques that are being used in all areas of biology and medicine. Transcriptomics, proteomics and, more recently, metabolomics are three of these techniques that have impacted on fungal plant pathology. Used individually, each...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Wiley-Blackwell Publishing Ltd.
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/31755 |
| _version_ | 1848753470596710400 |
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| author | Tan, Kar-Chun Ip-Cho, S. Oliver, Richard Trengove, R. Solomon, P. |
| author_facet | Tan, Kar-Chun Ip-Cho, S. Oliver, Richard Trengove, R. Solomon, P. |
| author_sort | Tan, Kar-Chun |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Peer-reviewed literature is today littered with exciting new tools and techniques that are being used in all areas of biology and medicine. Transcriptomics, proteomics and, more recently, metabolomics are three of these techniques that have impacted on fungal plant pathology. Used individually, each of these techniques can generate a plethora of data that could occupy a laboratory for years. When used in combination, they have the potential to comprehensively dissect a system at the transcriptional and translational level. Transcriptomics, or quantitative gene expression profiling, is arguably the most familiar to researchers in the field of fungal plant pathology. Microarrays have been the primary technique for the last decade, but others are now emerging. Proteomics has also been exploited by the fungal phytopathogen community, but perhaps not to its potential.A lack of genome sequence information has frustrated proteomics researchers and has largely contributed to this technique not fulfilling its potential. The coming of the genome sequencing era has partially alleviated this problem. Metabolomics is the most recent of these techniques to emerge and is concerned with the non-targeted profiling of all metabolites in a given system. Metabolomics studies on fungal plant pathogens are only just beginning to appear, although its potential to dissect many facets of the pathogen and disease will see its popularity increase quickly. This review assesses the impact of transcriptomics, proteomics and metabolomics on fungal plant pathology over the last decade and discusses their futures. Each of the techniques is described briefly with further reading recommended. Key examples highlighting the application of these technologies to fungal plant pathogens are also reviewed. |
| first_indexed | 2025-11-14T08:25:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-31755 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:25:02Z |
| publishDate | 2010 |
| publisher | Wiley-Blackwell Publishing Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-317552019-05-20T01:40:09Z Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology Tan, Kar-Chun Ip-Cho, S. Oliver, Richard Trengove, R. Solomon, P. Peer-reviewed literature is today littered with exciting new tools and techniques that are being used in all areas of biology and medicine. Transcriptomics, proteomics and, more recently, metabolomics are three of these techniques that have impacted on fungal plant pathology. Used individually, each of these techniques can generate a plethora of data that could occupy a laboratory for years. When used in combination, they have the potential to comprehensively dissect a system at the transcriptional and translational level. Transcriptomics, or quantitative gene expression profiling, is arguably the most familiar to researchers in the field of fungal plant pathology. Microarrays have been the primary technique for the last decade, but others are now emerging. Proteomics has also been exploited by the fungal phytopathogen community, but perhaps not to its potential.A lack of genome sequence information has frustrated proteomics researchers and has largely contributed to this technique not fulfilling its potential. The coming of the genome sequencing era has partially alleviated this problem. Metabolomics is the most recent of these techniques to emerge and is concerned with the non-targeted profiling of all metabolites in a given system. Metabolomics studies on fungal plant pathogens are only just beginning to appear, although its potential to dissect many facets of the pathogen and disease will see its popularity increase quickly. This review assesses the impact of transcriptomics, proteomics and metabolomics on fungal plant pathology over the last decade and discusses their futures. Each of the techniques is described briefly with further reading recommended. Key examples highlighting the application of these technologies to fungal plant pathogens are also reviewed. 2010 Journal Article http://hdl.handle.net/20.500.11937/31755 10.1111/J.1364-3703.2009.00565.X Wiley-Blackwell Publishing Ltd. restricted |
| spellingShingle | Tan, Kar-Chun Ip-Cho, S. Oliver, Richard Trengove, R. Solomon, P. Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| title | Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| title_full | Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| title_fullStr | Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| title_full_unstemmed | Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| title_short | Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| title_sort | assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology |
| url | http://hdl.handle.net/20.500.11937/31755 |