Plant Sciences Research Seminar - Professor Andrew Millar

18 May
at

12:30-13:30

Large Lecture Theatre

Professor Andrew Millar, Edinburgh, Edinburgh

Predicting the pleiotropic effects of circadian timing,from clock gene expression to biomass

The 24-hour circadian clock controls biological processes from the sleep-wake cycle to the cell cycle (Millar, 2016). We seek to understand how the dynamics of this gene regulatory network (Flis et al. 2015) control growth, biomass and life history in the whole plant. The clock is a case study to link mechanistic understanding at the molecular level to organismal and field performance. Breeders have selected clock-associated gene variants in crop species (barley, wheat, tomato), for reasons that are not always clear. Our ultimate aim is to understand both this artificial selection and the natural selection of the clock gene circuit in the model plant species, Arabidopsis thaliana.

 

Plant growth in the daily light:dark cycle depends upon molecular, biochemical and physiological responses to light, and on the 24-hour rhythms of the circadian clock. Predictable, seasonal changes in day length demand further adjustment to the plant’s daily programme and control flowering time. Using the rich data of the Arabidopsis community, we and our partners in the BBSRC ROBuST and EU FP7 TiMet projects have built mathematical models of these processes between germination and flowering, including the crucial, nightly utilisation of starch carbon stores (e.g. Seaton et al. Mol Syst Biol 2015). We recently combined models from three further biological research areas into the Arabidopsis Framework Model (FM), which predicts biomass quantitatively in reference conditions (Chew et al. PNAS 2014). We have recently used the model, together with metabolic, molecular and whole-plant data, to understand quantitatively the pleiotropic phenotypes of a ‘slow’ clock mutant. I will discuss the challenges for experiments and modelling, and a community approach to broaden the quantitative links between genotype and phenotype.

 

 

References

1. Chew YH, Wenden B, Flis A, Mengin V, Taylor J, et al. 2014. Multiscale digital Arabidopsis predicts individual organ and whole-organism growth. Proc Natl Acad Sci U S A 111:E4127-36. http://dx.doi.org/10.1073/pnas.1410238111

Model available at www.plasmo.ed.ac.uk/plasmo/models/model.shtml?accession=PLM_76

2. Flis A, Fernandez AP, Zielinski T, Mengin V, Sulpice R, et al. 2015. Defining the robust behaviour of the plant clock gene circuit with absolute RNA timeseries and open infrastructure. Open Biol 5. http://dx.doi.org/10.1098/rsob.150042

3, Millar AJ. 2016. The intracellular dynamics of circadian clocks reach for the light of ecology and evolution Annu Rev Plant Biol. http://dx.doi.org/10.1146/annurev-arplant-043014-115619

4. Seaton DD, Smith RW, Song YH, MacGregor DR, Stewart K, et al. 2015. Linked circadian outputs control elongation growth and flowering in response to photoperiod and temperature. Mol Syst Biol 11:776. http://dx.doi.org/10.15252/msb.20145766