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Dissecting quantitative variation in the plant circadian clock


Project Description

The seasonal timing of growth is critical for plant performance. The circadian
clock holds a key place in such seasonal adjustment as crop adaptation to new
locations is realised. This exciting PhD project establishes a unique approach
to uncover molecular, quantitative-genetic insights of natural circadian clock
alleles that respond to seasonal changes using the model plant Arabidopsis. As
Arabidopsis is widely distributed from the equator to the Arctic Circle, it serves
as a fantastic model for a migratory species. The proposed work exploits our
successes in QTL identification of clock alleles and cloning the underlying
genes (Anwer et al. 2014 eLife; Rubin et al. 2017 Mol Ecol.; Rubin et al. 2018
New Phyt; Yarkhunova et al. 2018 Plant Cell Env). You will analyse allelic
variation in the circadian clock from latitudinal mapping populations of
Arabidopsis harbouring vital reporters to measure the clock in individual living
plants. You will discover novel dynamic, time-evolving circadian activities by
means of newly developed informatics and statistical computational
approaches. Using our advanced bioluminescence platform and state-of-the-art
statistics, natural variation holds great promise to uncover new allele-
interactions within the clock in response to seasonal cues changes, understood
to the cellular and biochemical context of action.

Funding Notes

This studentship is fully funded for four years and covers: (i) a tax-free annual stipend at the standard Research Council rate (£15,009 estimated for 2020 entry), (ii) research costs, and (iii) tuition fees at the UK/EU rate.

References

Entry requirements: Students with, or expecting to gain, at least an upper second class honours degree, or equivalent, are invited to apply. The interdisciplinary nature of this research project means that we welcome applications from students with backgrounds in any biological, chemical, and/or physical science, or students with mathematical backgrounds who are interested in using their skills in addressing biological questions.

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

FTE Category A staff submitted: 44.37

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

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