High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum.

IF 7.6 1区 农林科学 Q1 AGRONOMY
Plant Phenomics Pub Date : 2024-08-05 eCollection Date: 2024-01-01 DOI:10.34133/plantphenomics.0214
Severin Einspanier, Christopher Tominello-Ramirez, Mario Hasler, Adelin Barbacci, Sylvain Raffaele, Remco Stam
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引用次数: 0

Abstract

Besides the well-understood qualitative disease resistance, plants possess a more complex quantitative form of resistance: quantitative disease resistance (QDR). QDR is commonly defined as a partial but more durable form of resistance and, therefore, might display a valuable target for resistance breeding. The characterization of QDR phenotypes, especially of wild crop relatives, displays a bottleneck in deciphering QDR's genomic and regulatory background. Moreover, the relationship between QDR parameters, such as infection frequency, lag-phase duration, and lesion growth rate, remains elusive. High hurdles for applying modern phenotyping technology, such as the low availability of phenotyping facilities or complex data analysis, further dampen progress in understanding QDR. Here, we applied a low-cost (<1.000 €) phenotyping system to measure lesion growth dynamics of wild tomato species (e.g., Solanum pennellii or Solanum pimpinellifolium). We provide insight into QDR diversity of wild populations and derive specific QDR mechanisms and their cross-talk. We show how temporally continuous observations are required to dissect end-point severity into functional resistance mechanisms. The results of our study show how QDR can be maintained by facilitating different defense mechanisms during host-parasite interaction and that the capacity of the QDR toolbox highly depends on the host's genetic context. We anticipate that the present findings display a valuable resource for more targeted functional characterization of the processes involved in QDR. Moreover, we show how modest phenotyping technology can be leveraged to help answer highly relevant biological questions.

高分辨率病害表型分析揭示番茄作物野生近缘种对硬核菌的不同抗性机制
除了广为人知的定性抗病性外,植物还具有更复杂的定量抗病性:定量抗病性(QDR)。QDR 通常被定义为一种部分但更持久的抗性,因此可能成为抗性育种的重要目标。QDR 表型的表征,尤其是野生作物近缘种的表征,在破解 QDR 的基因组和调控背景方面存在瓶颈。此外,QDR 参数(如感染频率、滞后期持续时间和病害生长速度)之间的关系仍然难以捉摸。现代表型技术的应用障碍重重,如表型设备少或数据分析复杂等,进一步阻碍了对 QDR 的理解。在这里,我们应用了一种低成本的表型技术(Solanum pennellii 或 Solanum pimpinellifolium)。我们深入了解了野生种群的 QDR 多样性,并得出了具体的 QDR 机制及其相互关系。我们的研究结果表明,要将终点严重性与功能性抗性机制进行剖析,需要进行时间上的连续观察。我们的研究结果表明,在宿主与寄生虫相互作用的过程中,QDR如何通过促进不同的防御机制来维持,而且QDR工具箱的能力在很大程度上取决于宿主的遗传背景。我们预计,目前的研究结果为更有针对性地描述 QDR 所涉及的过程的功能特征提供了宝贵的资源。此外,我们还展示了如何利用适度的表型技术来帮助回答高度相关的生物学问题。
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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