Faragó Dóra, Sass László, Valkai Ildikó, Andrási Norbert, Szabados László
Institute of Plant Biology, Biological Research Centre, Szeged, Hungary.
Front Plant Sci. 2018 Feb 22;9:219. doi: 10.3389/fpls.2018.00219. eCollection 2018.
Plant size, shape and color are important parameters of plants, which have traditionally been measured by destructive and time-consuming methods. Non-destructive image analysis is an increasingly popular technology to characterize plant development in time. High throughput automatic phenotyping platforms can simultaneously analyze multiple morphological and physiological parameters of hundreds or thousands of plants. Such platforms are, however, expensive and are not affordable for many laboratories. Moreover, determination of basic parameters is sufficient for most studies. Here we describe a non-invasive method, which simultaneously measures basic morphological and physiological parameters of cultured plants. Changes of plant size, shape and color is monitored by repeated photography with a commercial digital camera using neutral white background. Images are analyzed with the MatLab-based computer application PlantSize, which simultaneously calculates several parameters including rosette size, convex area, convex ratio, chlorophyll and anthocyanin contents of all plants identified on the image. Numerical data are exported in MS Excel-compatible format. Subsequent data processing provides information on growth rates, chlorophyll and anthocyanin contents. Proof-of-concept validation of the imaging technology was demonstrated by revealing small but significant differences between wild type and transgenic Arabidopsis plants overexpressing the transcription factor or the knockout mutant, subjected to different stress conditions. While overexpression was associated with better growth, higher chlorophyll and lower anthocyanin content in saline conditions, the knockout mutant showed hypersensitivity to various stresses. Morphological differences were revealed by comparing rosette size, shape and color of wild type plants with phytochrome B () mutant. While the technology was developed with Arabidopsis plants, it is suitable to characterize plants of other species including crops, in a simple, affordable and fast way. PlantSize is publicly available (http://www.brc.hu/pub/psize/index.html).
植物的大小、形状和颜色是重要的参数,传统上是通过具有破坏性且耗时的方法来测量的。无损图像分析是一种越来越流行的用于及时表征植物发育的技术。高通量自动表型分析平台可以同时分析数百或数千株植物的多个形态和生理参数。然而,这样的平台价格昂贵,许多实验室难以承受。此外,对于大多数研究而言,测定基本参数就足够了。在此,我们描述一种非侵入性方法,该方法可同时测量培养植物的基本形态和生理参数。使用商用数码相机在中性白色背景下通过重复拍照来监测植物大小、形状和颜色的变化。使用基于MatLab的计算机应用程序PlantSize对图像进行分析,该程序可同时计算多个参数,包括图像上识别出的所有植物的莲座叶大小、凸面积、凸比、叶绿素和花青素含量。数值数据以与MS Excel兼容的格式导出。后续的数据处理可提供有关生长速率、叶绿素和花青素含量的信息。通过揭示野生型与过表达转录因子的转基因拟南芥植物或基因敲除突变体在不同胁迫条件下的微小但显著的差异,证明了成像技术的概念验证。在盐胁迫条件下,过表达与更好的生长、更高的叶绿素含量和更低的花青素含量相关,而基因敲除突变体对各种胁迫表现出超敏反应。通过比较野生型植物与光敏色素B(phyB)突变体的莲座叶大小、形状和颜色,揭示了形态差异。虽然该技术是针对拟南芥植物开发的,但它适合以简单、经济且快速的方式表征包括作物在内的其他物种的植物。PlantSize可公开获取(http://www.brc.hu/pub/psize/index.html)。