Dowd Tyler G, Li Mao, Bagnall G Cody, Johnston Andrea, Topp Christopher N
Topp Lab, Donald Danforth Plant Science Center, Saint Louis, MO, United States.
Front Plant Sci. 2022 Dec 15;13:1041404. doi: 10.3389/fpls.2022.1041404. eCollection 2022.
Current methods of root sampling typically only obtain small or incomplete sections of root systems and do not capture their true complexity. To facilitate the visualization and analysis of full-sized plant root systems in 3-dimensions, we developed customized mesocosm growth containers. While highly scalable, the design presented here uses an internal volume of 45 ft (1.27 m), suitable for large crop and bioenergy grass root systems to grow largely unconstrained. Furthermore, they allow for the excavation and preservation of 3-dimensional root system architecture (RSA), and facilitate the collection of time-resolved subterranean environmental data. Sensor arrays monitoring matric potential, temperature and CO levels are buried in a grid formation at various depths to assess environmental fluxes at regular intervals. Methods of 3D data visualization of fluxes were developed to allow for comparison with root system architectural traits. Following harvest, the recovered root system can be digitally reconstructed in 3D through photogrammetry, which is an inexpensive method requiring only an appropriate studio space and a digital camera. We developed a pipeline to extract features from the 3D point clouds, or from derived skeletons that include point cloud voxel number as a proxy for biomass, total root system length, volume, depth, convex hull volume and solidity as a function of depth. Ground-truthing these features with biomass measurements from manually dissected root systems showed a high correlation. We evaluated switchgrass, maize, and sorghum root systems to highlight the capability for species wide comparisons. We focused on two switchgrass ecotypes, upland (VS16) and lowland (WBC3), in identical environments to demonstrate widely different root system architectures that may be indicative of core differences in their rhizoeconomic foraging strategies. Finally, we imposed a strong physiological water stress and manipulated the growth medium to demonstrate whole root system plasticity in response to environmental stimuli. Hence, these new "3D Root Mesocosms" and accompanying computational analysis provides a new paradigm for study of mature crop systems and the environmental fluxes that shape them.
当前的根系采样方法通常只能获取根系的小部分或不完整部分,无法捕捉其真正的复杂性。为了便于对全尺寸植物根系进行三维可视化和分析,我们开发了定制的中宇宙生长容器。虽然具有高度可扩展性,但这里展示的设计使用的内部体积为45立方英尺(1.27立方米),适合大型作物和生物能源草的根系在很大程度上不受限制地生长。此外,它们允许挖掘和保存三维根系结构(RSA),并便于收集时间分辨的地下环境数据。监测基质势、温度和二氧化碳水平的传感器阵列以网格形式埋设在不同深度,以定期评估环境通量。开发了通量的三维数据可视化方法,以便与根系结构特征进行比较。收获后,可以通过摄影测量法对回收的根系进行三维数字重建,这是一种成本低廉的方法,只需要一个合适的工作室空间和一台数码相机。我们开发了一个管道,从三维点云或从派生的骨架中提取特征,这些特征包括作为生物量代理的点云体素数、总根系长度、体积、深度、凸包体积和作为深度函数的紧实度。用手动解剖的根系的生物量测量结果对这些特征进行实地验证,结果显示出高度相关性。我们评估了柳枝稷、玉米和高粱的根系,以突出物种间比较的能力。我们在相同环境中重点研究了两种柳枝稷生态型,高地型(VS16)和低地型(WBC3),以展示可能表明其根经济觅食策略核心差异的广泛不同的根系结构。最后,我们施加了强烈的生理水分胁迫并操纵生长介质,以证明整个根系对环境刺激的可塑性。因此,这些新的“三维根系中宇宙”及相关的计算分析为研究成熟作物系统及其形成的环境通量提供了一种新范式。