Laboratory of Plant Physiology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Plant J. 2010 Apr 1;62(1):148-59. doi: 10.1111/j.1365-313X.2009.04116.x. Epub 2009 Dec 22.
Over the past few decades seed physiology research has contributed to many important scientific discoveries and has provided valuable tools for the production of high quality seeds. An important instrument for this type of research is the accurate quantification of germination; however gathering cumulative germination data is a very laborious task that is often prohibitive to the execution of large experiments. In this paper we present the germinator package: a simple, highly cost-efficient and flexible procedure for high-throughput automatic scoring and evaluation of germination that can be implemented without the use of complex robotics. The germinator package contains three modules: (i) design of experimental setup with various options to replicate and randomize samples; (ii) automatic scoring of germination based on the color contrast between the protruding radicle and seed coat on a single image; and (iii) curve fitting of cumulative germination data and the extraction, recap and visualization of the various germination parameters. The curve-fitting module enables analysis of general cumulative germination data and can be used for all plant species. We show that the automatic scoring system works for Arabidopsis thaliana and Brassica spp. seeds, but is likely to be applicable to other species, as well. In this paper we show the accuracy, reproducibility and flexibility of the germinator package. We have successfully applied it to evaluate natural variation for salt tolerance in a large population of recombinant inbred lines and were able to identify several quantitative trait loci for salt tolerance. Germinator is a low-cost package that allows the monitoring of several thousands of germination tests, several times a day by a single person.
在过去的几十年中,种子生理学研究为许多重要的科学发现做出了贡献,并为生产高质量种子提供了有价值的工具。这种研究的一个重要工具是准确量化发芽;然而,收集累积发芽数据是一项非常费力的任务,通常会妨碍大型实验的执行。在本文中,我们介绍了 germinator 包:一种简单、高性价比且灵活的高通量自动评分和发芽评估程序,可以在不使用复杂机器人的情况下实现。germinator 包包含三个模块:(i) 设计具有各种选项的实验设置,以复制和随机化样本;(ii) 基于突出的胚根和种皮之间的颜色对比对发芽进行自动评分,在单个图像上;以及 (iii) 累积发芽数据的曲线拟合以及各种发芽参数的提取、概括和可视化。曲线拟合模块能够分析一般的累积发芽数据,可用于所有植物物种。我们表明,自动评分系统适用于拟南芥和芸苔属种子,但可能也适用于其他物种。在本文中,我们展示了 germinator 包的准确性、可重复性和灵活性。我们已经成功地将其应用于评估重组自交系中大量群体的耐盐性自然变异,并能够鉴定出几个耐盐性数量性状位点。germinator 是一个低成本的包,可以由一个人每天多次监测数千次发芽测试。