Assessing the Impact of Dominant Sequencing-Based Gene Expression Profiling Techniques (SGEPTs) on Phytopathogenic Fungi
Dawei Wang and Youliang Peng** Author for corresponding; e-mail address: pengy@cau.edu.cn
Volume: Vol.41 No.4 (SPECIAL ISSUE 1)
Research Article
DOI:
Received: 2 January 2014, Revised: -, Accepted: 20 January 2014, Published: -
Citation: Wang D. and Peng Y., Assessing the Impact of Dominant Sequencing-Based Gene Expression Profiling Techniques (SGEPTs) on Phytopathogenic Fungi , Chiang Mai Journal of Science, 2014; 41(4): 922-944.
Abstract
The application of transcriptomics for the selection of candidate genes responsible for fungal pathogenicity or fungal-plant interactions is one of the main methods for studying the aetiology of fungal pathogenesis. The major challenge for researchers is to choose an effective technique for the analysis of transcriptomes. Sequencing-based gene expression profiling techniques (SGEPTs) are powerful tools that are used for this purpose. The analytical SGEPTs, which are well-known as extensive sequencing expressed sequence tags (ESTs), serial analysis of gene expression (SAGE), massively parallel signature sequencing (MPSS), and a revolutionary tool known as RNA sequencing (RNA-seq) have accelerated our understanding of the molecular mechanism of fungal pathogenesis. In this review, we systematically present the methodology and technique considerations of each dominant SGEPT, highlight the application of these techniques in phytopathogenic fungal studies, and briefly consider the future sequencing platform for RNA-seq and the potential application of RNA-seq techniques in phytopathogenic fungi.