Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685619
Title: Computational identification and functional characterisation of candidate DNA binding effectors in Phytophthora
Author: Motion, Graham B.
ISNI:       0000 0004 5915 6683
Awarding Body: University of Dundee
Current Institution: University of Dundee
Date of Award: 2015
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
Phytophthora secretes a large repertoire of molecules (effectors) during infection to modulate host processes and enable infection. Microarray analysis on tomato-P. capsici timecourse experiments has revealed dramatic transcriptional changes as a consequence of infection, suggesting a role for pathogen effectors in transcriptional reprogramming throughout its disease cycle. We hypothesise that Phytophthora genomes encode effectors that translocate into host nuclei during infection, where they bind DNA and modify gene expression. Computational methods for predicting DNA-binding proteins can provide a high-throughput means of candidate selection. However, current prediction algorithms are limited in plants and pathogens. Here we have created a plant specific prediction model, which we have employed to predict DNA-binding proteins in the tomato (Solanum lycopersicum) genome. By validating these predictions we have demonstrated that this model is suitable for high-throughput prediction of DNA-binding proteins and will be a useful tool in genome annotation efforts. Applying our prediction model to effectors from P. capsici and P. infestans, we have identified a set of candidates which have been prioritised for experimental characterisation. From these candidates we have identified chromatin-associated effectors which localise to the nucleus and enhance P. capsici virulence. Taken together these results suggest DNA-binding may be an important feature for pathogen effectors. Finally we have assessed the use of three techniques to validate direct DNA-binding and identify target DNA sequences, for which we show preliminary results and outline planned use. Candidate DNA-binding effectors will be prioritised for use with these techniques. We conclude that this study has provided the means to identify candidate DNA-binding effectors which can be adopted by others wishing to study pathogen DNA-binding effectors. This will help further our understanding of not only pathogen effectors but also of plant DNA-associated processes during infection.
Supervisor: Huitema, Edgar Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.685619  DOI: Not available
Share: