Tello Javier, Montemayor María Ignacia, Forneck Astrid, Ibáñez Javier
Instituto de Ciencias de la Vid y del Vino (CSIC, Gobierno de La Rioja, Universidad de La Rioja), Carretera de Burgos km 6, Finca La Grajera, 26007 Logroño, Spain.
Division of Viticulture and Pomology, Department of Crop Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Konrad Lorenz Straße 24, 3430 Tulln, Austria.
Plant Methods. 2018 Jan 9;14:3. doi: 10.1186/s13007-017-0267-2. eCollection 2018.
Low pollen viability may limit grapevine yield under certain conditions, causing relevant economic losses to grape-growers. It is usually evaluated by the quantification of the number of viable and non-viable pollen grains that are present in a sample after an adequate pollen grain staining procedure. Although the manual counting of both types of grains is the simplest and most sensitive approach, it is a laborious and time-demanding process. In this regard, novel image-based approaches can assist in the objective, accurate and cost-effective phenotyping of this trait.
Here, we introduce PollenCounter, an open-source macro implemented as a customizable Fiji tool for the high-throughput phenotyping of pollen viability. This tool splits RGB images of stained pollen grains into its primary channels, retaining red and green color fractionated images (which contain information on total and only viable pollen grains, respectively) for the subsequent isolation and counting of the regions of interest (pollen grains). This framework was successfully used for the analysis of pollen viability of a high number of samples collected in a large collection of grapevine cultivars. Results revealed a great genetic variability, from cultivars having very low pollen viability (like Corinto Bianco; viability: 14.1 ± 1.3%) to others with a very low presence of sterile pollen grains (Cuelga; viability: 98.2 ± 0.5%). A wide range of variability was also observed among several clones of cv. Tempranillo Tinto (from 97.9 ± 0.9 to 60.6 ± 5.9%, in the first season). Interestingly, the evaluation of this trait in a second season revealed differential genotype-specific sensitivity to environment.
The use of PollenCounter is expected to aid in different areas, including genetics research studies, crop improvement and breeding strategies that need of fast, precise and accurate results. Considering its flexibility, it can be used not only in grapevine, but also in other species showing a differential staining of viable and non-viable pollen grains. The wide phenotypic diversity observed at a species level, together with the identification of specific cultivars and clones largely differing in this trait, pave the way of further analyses aimed to understand the physiological and genetic causes driving to male sterility in grapevine.
在某些条件下,低花粉活力可能会限制葡萄产量,给葡萄种植者带来相关经济损失。通常通过对经过适当花粉粒染色程序后样本中活花粉粒和非活花粉粒数量的量化来评估。虽然手动计数这两种类型的花粉粒是最简单、最灵敏的方法,但却是一项费力且耗时的过程。在这方面,基于图像的新方法可以协助对该性状进行客观、准确且经济高效的表型分析。
在此,我们介绍了PollenCounter,这是一个作为可定制的Fiji工具实现的开源宏,用于花粉活力的高通量表型分析。该工具将染色花粉粒的RGB图像分割成其主要通道,保留红色和绿色分色图像(分别包含关于总花粉粒和仅活花粉粒的信息),用于后续感兴趣区域(花粉粒)的分离和计数。该框架已成功用于分析从大量葡萄品种收集的大量样本的花粉活力。结果显示出很大的遗传变异性,从花粉活力非常低的品种(如白科林托;活力:14.1±1.3%)到不育花粉粒含量非常低的其他品种(奎尔加;活力:98.2±0.5%)。在丹魄克隆品种中也观察到了广泛的变异性(在第一季中,从97.9±0.9%到60.6±5.9%)。有趣的是,在第二季对该性状的评估显示了不同基因型对环境的特异性敏感性。
预计PollenCounter的使用将有助于不同领域,包括需要快速、精确和准确结果的遗传学研究、作物改良和育种策略。考虑到其灵活性,它不仅可以用于葡萄,还可以用于其他活花粉粒和非活花粉粒染色不同的物种。在物种水平上观察到的广泛表型多样性,以及在该性状上差异很大的特定品种和克隆的鉴定,为进一步分析旨在了解导致葡萄雄性不育的生理和遗传原因铺平了道路。