Information and Computational Science, The James Hutton Institute, Invergowrie, United Kingdom.
School of Mathematical and Computer Sciences, Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
PLoS Comput Biol. 2023 Mar 7;19(3):e1010916. doi: 10.1371/journal.pcbi.1010916. eCollection 2023 Mar.
When exposed to increased mechanical resistance from the soil, plant roots display non-linear growth responses that cannot be solely explained by mechanical principles. Here, we aim to investigate how changes in tissue mechanical properties are biologically regulated in response to soil strength. A particle-based model was developed to solve root-soil mechanical interactions at the cellular scale, and a detailed numerical study explored factors that affect root responses to soil resistance. Results showed how softening of root tissues at the tip may contribute to root responses to soil impedance, a mechanism likely linked to soil cavity expansion. The model also predicted the shortening and decreased anisotropy of the zone where growth occurs, which may improve the mechanical stability of the root against axial forces. The study demonstrates the potential of advanced modeling tools to help identify traits that confer plant resistance to abiotic stress.
当植物根系受到土壤增加的机械阻力时,会表现出非线性的生长反应,这些反应不能仅用机械原理来解释。在这里,我们旨在研究组织力学性质的变化如何在生物学上受到土壤强度的调节。我们开发了一种基于颗粒的模型来解决细胞尺度上的根-土力学相互作用,并进行了详细的数值研究,以探讨影响根对土壤阻力响应的因素。结果表明,根尖处的组织软化可能有助于根对土壤阻抗的响应,这种机制可能与土壤空洞扩张有关。该模型还预测了生长发生区域的缩短和各向异性降低,这可能提高根对轴向力的机械稳定性。该研究表明,先进的建模工具具有帮助识别赋予植物抗非生物胁迫特性的潜力。