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Investigating the role of the circadian clock in antiviral defence

  • Full or part time
    Dr Attila Molnar
  • Application Deadline
    Sunday, January 05, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Circadian rhythm is an approximately 24-hour cycle in the physiological processes of living organisms, which is driven by the circadian clock (1). Its function in responding to external abiotic cues and stresses is relatively well characterised. In contrast, very little is known about the role of the circadian clock in controlling biotic stresses such as virus attack. An early report indicated that the necrotic lesion response to several plant viruses is enhanced during the day compared to the night (2). However, this study did not investigate the role of the circadian clock in plant-virus interactions. The proposed project will examine the effect of the circadian rhythm on virus infections and explore the underlying molecular mechanisms.

Our project will provide the framework to develop core research skills as well as excellent cross-disciplinary research training, including skills in communication and public engagement.

Informal enquiries should be made to , and interested applicants should see https://www.ed.ac.uk/profile/attila-molnar for more background and information on the lab.

Funding Notes

The “Visit Website” button on this page will take you to our Online Application checklist. Please complete each step and download the checklist which will provide a list of funding options and guide you through the application process.

If you would like us to consider you for one of our scholarships you must apply by 5 January 2020 at the latest.

References

Johansson and Köster (2018) Plant Biol (Stuttg). 2018 Apr 1. doi: 10.1111/plb.12729.
Matthews (1953) Annals of Applied Biology. 40, 377-383.

How good is research at University of Edinburgh in Biological Sciences?

FTE Category A staff submitted: 109.70

Research output data provided by the Research Excellence Framework (REF)

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