Centre for Plant Integrative Biology, University of Nottingham, Nottingham LE12 5RD, United Kingdom.
Plant Cell. 2012 Oct;24(10):3892-906. doi: 10.1105/tpc.112.101550. Epub 2012 Oct 30.
Over recent decades, we have gained detailed knowledge of many processes involved in root growth and development. However, with this knowledge come increasing complexity and an increasing need for mechanistic modeling to understand how those individual processes interact. One major challenge is in relating genotypes to phenotypes, requiring us to move beyond the network and cellular scales, to use multiscale modeling to predict emergent dynamics at the tissue and organ levels. In this review, we highlight recent developments in multiscale modeling, illustrating how these are generating new mechanistic insights into the regulation of root growth and development. We consider how these models are motivating new biological data analysis and explore directions for future research. This modeling progress will be crucial as we move from a qualitative to an increasingly quantitative understanding of root biology, generating predictive tools that accelerate the development of improved crop varieties.
近几十年来，我们已经详细了解了许多涉及根生长和发育的过程。然而，随着知识的增加，我们越来越需要机械建模来了解这些单个过程是如何相互作用的。一个主要的挑战是将基因型与表型联系起来，这要求我们超越网络和细胞尺度，使用多尺度建模来预测组织和器官水平的涌现动态。在这篇综述中，我们强调了多尺度建模的最新进展，说明了这些进展如何为根生长和发育的调控提供新的机械见解。我们考虑了这些模型如何激发新的生物数据分析，并探讨了未来研究的方向。随着我们从定性理解向越来越定量理解根生物学的转变，这种建模进展将是至关重要的，它将生成预测工具，加速改良作物品种的发展。
