SynthSys and School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
EPCC, University of Edinburgh, Edinburgh, UK.
J Exp Bot. 2019 Apr 29;70(9):2463-2477. doi: 10.1093/jxb/ery394.
Linking our understanding of biological processes at different scales is a major conceptual challenge in biology and aggravated by differences in research methods. Modelling can be a useful approach to consolidating our understanding across traditional research domains. The laboratory model species Arabidopsis is very widely used to study plant growth processes and has also been tested more recently in ecophysiology and population genetics. However, approaches from crop modelling that might link these domains are rarely applied to Arabidopsis. Here, we combine plant growth models with phenology models from ecophysiology, using the agent-based modelling language Chromar. We introduce a simpler Framework Model of vegetative growth for Arabidopsis, FM-lite. By extending this model to include inflorescence and fruit growth and seed dormancy, we present a whole-life-cycle, multi-model FM-life, which allows us to simulate at the population level in various genotype × environment scenarios. Environmental effects on plant growth distinguish between the simulated life history strategies that were compatible with previously described Arabidopsis phenology. Our results simulate reproductive success that is founded on the broad range of physiological processes familiar from crop models and suggest an approach to simulating evolution directly in future.
将不同尺度的生物学过程联系起来是生物学中的一个主要概念性挑战,而研究方法的差异则加剧了这一挑战。建模可以是一种有用的方法,可以在传统研究领域之间巩固我们的理解。实验室模式物种拟南芥被广泛用于研究植物生长过程,最近也在生理生态学和群体遗传学中得到了检验。然而,将这些领域联系起来的作物建模方法很少应用于拟南芥。在这里,我们使用基于代理的建模语言 Chromar 将植物生长模型与生理生态学中的物候学模型相结合。我们引入了一个更简单的拟南芥营养生长框架模型 FM-lite。通过将这个模型扩展到包括花序和果实生长以及种子休眠,我们提出了一个全生命周期、多模型的 FM-life,它允许我们在各种基因型-环境场景下在种群水平上进行模拟。环境对植物生长的影响区分了与先前描述的拟南芥物候学兼容的模拟生命史策略。我们的结果模拟了基于从作物模型中熟悉的广泛生理过程的生殖成功,并为未来直接模拟进化提供了一种方法。