Possamai Tyrone, Wiedemann-Merdinoglu Sabine
CREA-Research Centre for Viticulture and Enology, Conegliano, Italy.
INRAE Centre Grand Est-Colmar, UMR 1131, Colmar, France.
Front Plant Sci. 2022 Aug 11;13:930954. doi: 10.3389/fpls.2022.930954. eCollection 2022.
is the most widely cultivated grapevine species. It is highly susceptible to and , the causal agents of downy mildew (DM) and powdery mildew (PM), respectively. Current strategies to control DM and PM mainly rely on agrochemical applications that are potentially harmful to humans and the environment. Breeding for resistance to DM and PM in wine grape cultivars by introgressing resistance loci from wild spp. is a complementary and more sustainable solution to manage these two diseases. During the last two decades, 33 loci of resistance to () and 15 loci of resistance to ( and ) have been identified. Phenotyping is salient for QTL characterization and understanding the genetic basis of resistant traits. However, phenotyping remains a major bottleneck for research on and loci and disease resistance evaluation. A thorough analysis of the literature on phenotyping methods used for DM and PM resistance evaluation highlighted phenotyping performed in the vineyard, greenhouse or laboratory with major sources of variation, such as environmental conditions, plant material (organ physiology and age), pathogen inoculum (genetic and origin), pathogen inoculation (natural or controlled), and disease assessment method (date, frequency, and method of scoring). All these factors affect resistance assessment and the quality of phenotyping data. We argue that the use of new technologies for disease symptom assessment, and the production and adoption of standardized experimental guidelines should enhance the accuracy and reliability of phenotyping data. This should contribute to a better replicability of resistance evaluation outputs, facilitate QTL identification, and contribute to streamline disease resistance breeding programs.
是种植最广泛的葡萄品种。它对分别导致霜霉病(DM)和白粉病(PM)的 和 高度敏感。目前控制霜霉病和白粉病的策略主要依赖于对人类和环境有潜在危害的农用化学品应用。通过导入野生 属物种的抗性基因座,培育酿酒葡萄品种对霜霉病和白粉病的抗性,是管理这两种病害的一种补充性且更具可持续性的解决方案。在过去二十年中,已鉴定出33个抗 ()的基因座和15个抗 (和 )的基因座。表型分析对于QTL表征和理解抗性性状的遗传基础至关重要。然而,表型分析仍然是研究 和 基因座以及抗病性评估的主要瓶颈。对用于霜霉病和白粉病抗性评估的表型分析方法的文献进行全面分析后发现,在葡萄园、温室或实验室进行的表型分析存在主要变异来源,如环境条件、植物材料(器官生理学和年龄)、病原菌接种体(遗传和来源)、病原菌接种(自然或受控)以及病害评估方法(日期、频率和评分方法)。所有这些因素都会影响抗性评估和表型分析数据的质量。我们认为,使用新技术进行病害症状评估,以及制定和采用标准化实验指南,应能提高表型分析数据的准确性和可靠性。这将有助于提高抗性评估结果的可重复性,促进QTL鉴定,并有助于简化抗病育种计划。