Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth
Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth
复制标题
自动定量组织学揭示拟南芥下胚轴二次生长过程中的血管形态动力学
作者：
M. Sankar;K. Nieminen;L. Ragni;I. Xenarios;C. Hardtke
在众多优点中，它们的小尺寸使得模式生物成为首选的研究对象。然而，即使在模型系统中，对细胞水平上众多发育过程的详细分析也因其规模而受到严重阻碍。例如，拟南芥下胚轴的次生生长产生了高度特化组织的放射状图案，该组织由几千个细胞（从几十个细胞）组成。这种动态过程很难跟踪，因为它的规模很大，而且只能进行侵入性研究，无法全面了解所涉及的细胞增殖、分化和模式事件。为了克服这种限制，我们建立了一种自动定量组织学方法。我们从平铺的高分辨率图像中获取下胚轴横截面，并使用定制的高通量图像处理和分割提取其信息内容。结合通过机器学习进行的自动细胞类型识别，我们可以建立一个细胞分辨率图谱，揭示二次生长过程中的血管形态动力学，例如等距韧皮部形成。 DOI：http://dx.doi.org/10.7554/eLife.01567.001
Among various advantages, their small size makes model organisms preferred subjects of investigation. Yet, even in model systems detailed analysis of numerous developmental processes at cellular level is severely hampered by their scale. For instance, secondary growth of Arabidopsis hypocotyls creates a radial pattern of highly specialized tissues that comprises several thousand cells starting from a few dozen. This dynamic process is difficult to follow because of its scale and because it can only be investigated invasively, precluding comprehensive understanding of the cell proliferation, differentiation, and patterning events involved. To overcome such limitation, we established an automated quantitative histology approach. We acquired hypocotyl cross-sections from tiled high-resolution images and extracted their information content using custom high-throughput image processing and segmentation. Coupled with automated cell type recognition through machine learning, we could establish a cellular resolution atlas that reveals vascular morphodynamics during secondary growth, for example equidistant phloem pole formation. DOI: http://dx.doi.org/10.7554/eLife.01567.001