Projects per year
Understanding how dynamic molecular networks affect whole-organism physiology, analogous to mapping genotype to phenotype, remains a key challenge in biology. Quantitative models that represent processes at multiple scales and link understanding from several research domains can help to tackle this problem. Such integrated models are more common in crop science and ecophysiology than in the research communities that elucidate molecular networks. Several laboratories have modeled particular aspects of growth in Arabidopsis thaliana, but it was unclear whether these existing models could productively be combined. We test this approach by constructing a multiscale model of Arabidopsis rosette growth. Four existing models were integrated with minimal parameter modification (leaf water content and one flowering parameter used measured data). The resulting framework model links genetic regulation and biochemical dynamics to events at the organ and whole-plant levels, helping to understand the combined effects of endogenous and environmental regulators on Arabidopsis growth. The framework model was validated and tested with metabolic, physiological, and biomass data from two laboratories, for five photoperiods, three accessions, and a transgenic line, highlighting the plasticity of plant growth strategies. The model was extended to include stochastic development. Model simulations gave insight into the developmental control of leaf production and provided a quantitative explanation for the pleiotropic developmental phenotype caused by overexpression of miR156, which was an open question. Modular, multiscale models, assembling knowledge from systems biology to ecophysiology, will help to understand and to engineer plant behavior from the genome to the field.
- crop modeling
- digital organism
- plant growth model
FingerprintDive into the research topics of 'Multiscale digital Arabidopsis predicts individual organ and whole-organism growth'. Together they form a unique fingerprint.
- 3 Finished
Millar, A., Tindal, C., Muetzelfeldt, R. & Ougham, H.
16/09/08 → 15/09/10
14/04/08 → 13/10/13
Millar, A. J., Panneerselvam, B., Price, N. D., Prusinkiewicz, P., Raila, D., Shekar, R. G. & 9 others, , 15 May 2017, In: Frontiers in plant science. 8, 786.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Chew, Y. H., Wenden, B., Flis, A., Mengin, V., Taylor, J., Davey, C. L., Tindal, C., Thomas, H., Ougham, H. J., De Reffye, P., Stitt, M., Williams, M., Muetzelfeldt, R., Halliday, K. J. & Millar, A. J., 12 May 2015, In: Proceedings of the National Academy of Sciences. 112, 19, E2556.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile
Plants in silico: Why, why now and what? --- An integrative platform for plant systems biology researchZhu, X-G., Lynch, J. P., LeBauer, D. S., Millar, A. J., Stitt, M. & Long, S. P., 2 Nov 2015, (E-pub ahead of print) In: Plant, Cell and Environment. 39 , 5, p. 1049–1057
Research output: Contribution to journal › Literature review › peer-reviewOpen AccessFile
Andrew Millar (Invited speaker)4 Jul 2017
Activity: Participating in or organising an event types › Participation in conference