Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.
School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
New Phytol. 2010 Jul;187(1):251-261. doi: 10.1111/j.1469-8137.2010.03266.x. Epub 2010 Apr 22.
*Significant progress has been made in the identification of the genetic factors controlling leaf shape. However, no integrated solution for the quantification and categorization of leaf form has been developed. In particular, the analysis of local changes in margin growth, which define many of the differences in shape, remains problematical. *Here, we report on a software package (LEAFPROCESSOR) which provides a semi-automatic and landmark-free method for the analysis of a range of leaf-shape parameters, combining both single metrics and principal component analysis. In particular, we explore the use of bending energy as a tool for the analysis of global and local leaf perimeter deformation. *As a test case for the implementation of the LEAFPROCESSOR program, we show that this integrated analysis leads to deeper insights into the morphogenic changes underpinning a series of previously identified Arabidopsis leaf-shape mutants. Our analysis reveals that many of these mutants which, at first sight, show similar leaf morphology, can be distinguished via our shape analysis. *The LEAFPROCESSOR program provides a novel integrated tool for the analysis of leaf shape.
在鉴定控制叶片形状的遗传因素方面已经取得了重大进展。然而,尚未开发出用于量化和分类叶片形态的综合解决方案。特别是,对于定义了许多形状差异的边缘生长的局部变化的分析仍然存在问题。在这里,我们报告了一个软件包(LEAFPROCESSOR),它提供了一种半自动的、无地标点的方法来分析一系列叶片形状参数,包括单一指标和主成分分析。特别是,我们探索了使用弯曲能作为分析全局和局部叶片周长变形的工具。作为 LEAFPROCESSOR 程序实现的测试案例,我们表明这种综合分析能够深入了解一系列先前鉴定的拟南芥叶片形状突变体的形态发生变化。我们的分析表明,许多这些突变体,乍一看,表现出相似的叶片形态,可以通过我们的形状分析来区分。LEAFPROCESSOR 程序为叶片形状分析提供了一种新颖的综合工具。