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斐济翼:昆虫翅膀半自动形态分析的开源工具包。

FijiWings: an open source toolkit for semiautomated morphometric analysis of insect wings.

机构信息

Division of Molecular Biology and Biochemistry, School of Biological Sciences, University of Missouri-Kansas City, Kansas City, Missouri 64110, USA.

出版信息

G3 (Bethesda). 2013 Aug 7;3(8):1443-9. doi: 10.1534/g3.113.006676.

Abstract

Development requires coordination between cell proliferation and cell growth to pattern the proper size of tissues, organs, and whole organisms. The Drosophila wing has landmark features, such as the location of veins patterned by cell groups and trichome structures produced by individual cells, that are useful to examine the genetic contributions to both tissue and cell size. Wing size and trichome density have been measured manually, which is tedious and error prone, and although image processing and pattern-recognition software can quantify features in micrographs, this approach has not been applied to insect wings. Here we present FijiWings, a set of macros designed to perform semiautomated morphophometric analysis of a wing photomicrograph. FijiWings uses plug-ins installed in the Fiji version of ImageJ to detect and count trichomes and measure wing area either to calculate trichome density of a defined region selected by the user or generate a heat map of overall trichome densities. For high-throughput screens we have developed a macro that directs a trainable segmentation plug-in to detect wing vein locations either to measure trichome density in specific intervein regions or produce a heat map of relative intervein areas. We use wing GAL4 drivers and UAS-regulated transgenes to confirm the ability of these tools to detect changes in overall tissue growth and individual cell size. FijiWings is freely available and will be of interest to a broad community of fly geneticists studying both the effect of gene function on wing patterning and the evolution of wing morphology.

摘要

发育需要细胞增殖和细胞生长之间的协调,以形成组织、器官和整个生物体的适当大小。果蝇翅膀具有标志性特征,例如由细胞群形成的脉纹位置和由单个细胞产生的刚毛结构,这些特征对于研究组织和细胞大小的遗传贡献非常有用。翅膀大小和刚毛密度已经通过手动进行测量,这种方法既繁琐又容易出错,尽管图像处理和模式识别软件可以量化显微镜照片中的特征,但这种方法尚未应用于昆虫翅膀。在这里,我们提出了 FijiWings,这是一组宏,旨在对半自动对翅膀显微照片进行形态计量分析。FijiWings 使用 Fiji 版本的 ImageJ 中安装的插件来检测和计数刚毛,并测量翅膀区域,以计算用户选择的特定区域的刚毛密度,或生成整体刚毛密度的热图。对于高通量筛选,我们开发了一个宏,该宏指导可训练的分割插件来检测翅膀脉纹位置,以测量特定脉间区域的刚毛密度或生成相对脉间区域的热图。我们使用翅膀 GAL4 驱动和 UAS 调节的转基因来证实这些工具检测整体组织生长和单个细胞大小变化的能力。FijiWings 是免费提供的,它将引起研究翅膀模式形成和翅膀形态进化的广泛果蝇遗传学家社区的兴趣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8de7/3737183/a5a2e7d07a0c/1443f1.jpg

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