Three-Dimensional Root Phenotyping with a Novel Imaging and Software Platform
Three-Dimensional Root Phenotyping with a Novel Imaging and Software Platform
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DOI：
10.1104/pp.110.169102
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发表时间：
2011-06-01
期刊：
影响因子：
7.4
通讯作者：
Kochian, Leon V.
中科院分区：
文献类型：
--
作者：
Clark, Randy T.;MacCurdy, Robert B.;Kochian, Leon V.
开发了一种新的成像和软件平台，用于幼苗发育过程中三维根系性状的高通量表型分析。为了证明该平台的能力，将两种水稻（Oryza sativa）基因型Azucena和IR 64的植物生长在透明结冷胶系统中，并每天成像10天。使用光学校正的数字成像系统捕获由40个二维图像组成的旋转图像序列。使用定制设计的软件RootReader3D生成和分析三维牙根重建。利用RootReader3D的自动化和交互功能，对5种水稻根系类型进行了分类，并测定了27个表型根系性状来表征这两种基因型。在可能的情况下，验证了三维平台的测量结果，并与传统的二维测量结果高度相关。结冷胶栽培的植株与水培和砂培的植株相比，根系形态性状差异显著（P < 0.05）。这个高度灵活的平台提供了测量具有高度的空间和时间分辨率的根系性状的能力，并将促进新的调查到整个根系或根系的选定组件的发展。结合现有的广泛遗传资源，该平台将成为进一步探索根系结构的分子和遗传决定因素的强大资源。
A novel imaging and software platform was developed for the high-throughput phenotyping of three-dimensional root traits during seedling development. To demonstrate the platform's capacity, plants of two rice (Oryza sativa) genotypes, Azucena and IR64, were grown in a transparent gellan gum system and imaged daily for 10 d. Rotational image sequences consisting of 40 two-dimensional images were captured using an optically corrected digital imaging system. Three-dimensional root reconstructions were generated and analyzed using a custom-designed software, RootReader3D. Using the automated and interactive capabilities of RootReader3D, five rice root types were classified and 27 phenotypic root traits were measured to characterize these two genotypes. Where possible, measurements from the three-dimensional platform were validated and were highly correlated with conventional two-dimensional measurements. When comparing gellan gum-grown plants with those grown under hydroponic and sand culture, significant differences were detected in morphological root traits (P < 0.05). This highly flexible platform provides the capacity to measure root traits with a high degree of spatial and temporal resolution and will facilitate novel investigations into the development of entire root systems or selected components of root systems. In combination with the extensive genetic resources that are now available, this platform will be a powerful resource to further explore the molecular and genetic determinants of root system architecture.