Anthony Hall Group
Bridging the gap between model and crop species.
We strive to develop next-generation computational approaches to bridge the gap between model (Arabidopsis) and crop species (primarily wheat) with the aim of understanding the genes/networks and genetic variance that underpin key agricultural traits.
To meet this goal we currently have a number of projects investigating the genes and networks underpinning yield robustness under drought and heat stress (India and UK) and enhancing photosynthesis (Mexico, Australia and the UK). We also have projects on the wheat epigenome characterising the epigenome in bread wheat, the variation of the epigenome across a global diversity panel and the role of the epigenome during genome shock (Germany, USA and UK).
We are interested in addressing fundamental biological questions with a focus on the circadian clock, with ongoing projects modelling clock networks with single-cell resolution in collaboration with James Locke (The Sainsbury Laboratory, University of Cambridge). In the future we aim to extend this work but also address the role of clock function during domestication and whether the clock is an important agricultural trait.