Wednesday 18 May 2011

PhD at Swedish University of Agricultural Sciences

Phytophthora (late blight) resistance in potato
Today, almost half the fungicides in Swedish agriculture are used for potato crops, even though potatoes comprise just over one percent of cultivated land. This is largely due to Phytophthora species, which are one of the most devastating crop pathogens. Consequently, there is a need for new sources of resistance in order to counteract the continued evolution of Phytophthora and to develop sustainable agricultural practices. Pivotal in this work is to better understand the plant-pathogen interaction and the defence response mechanisms in potato. To identify candidate key players in the plant-pathogen interaction for further functional assessments, we have generated quantitative proteome and phospho-proteome data by mass-spectrometry from different life stages of Phytophthora as well as potato cultivars with varying Phytophthora resistance. The mechanisms at play will be further elucidated by bioinformatics, transcriptional analysis and assays to monitor plant defence response. Experiments are carried in controlled green-house environments and in field trials, and both genetically modified (GM) and non-GM plants will be used. We seek a student who wants to explore a career in plant science. The project will include designing large-scale experiments with appropriate sampling procedures and subsequent data analysis. The candidate is also expected to study the effects and functions of key components identified in more detail by molecular biology methods. The successful applicant will partly be funded by the foundation for strategic research (SSF) The research group forms a part of the Plant Science Centre, a newly established collaboration between the Swedish University of Agricultural Sciences and Lund University. The project will be supervised by Dr Erik Alexandersson and Prof Erik Andreasson.

Qualifications
A master degree, or similar higher university degree, in molecular biology or bioinformatics, preferably comprising functional genomics. Knowledge of bioinformatical tools and computational methods to handle, explore and visualize large datasets are highly valued. Experiences working as part of a laboratory research project and/or of plant handling are preferable. Good knowledge of spoken and written English is required.


Forms for funding or employment
Scholarship 1 year + Employment as PhD student 3 years

http://www.slu.se

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