Quantifying the Predictability of Lesion Growth and Its Contribution to Quantitative Resistance Using Field Phenomics.

IF 3.1 2区 农林科学 Q2 PLANT SCIENCES
Jonas Anderegg, Lukas Roth, Radek Zenkl, Bruce A McDonald
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Abstract

Measuring individual components of pathogen reproduction is key to understanding mechanisms underlying rate-reducing quantitative resistance (QR). Simulation models predict that lesion expansion plays a key role in seasonal epidemics of foliar diseases, but measuring lesion growth with sufficient precision and scale to test these predictions under field conditions has remained impractical. We used deep learning-based image analysis to track 6889 individual lesions caused by Zymoseptoria tritici on 14 wheat cultivars across two field seasons, enabling 27,218 precise and objective measurements of lesion growth in the field. Lesion appearance traits reflecting specific interactions between particular host and pathogen genotypes were consistently associated with lesion growth, whereas overall effects of host genotype and environment were modest. Both host cultivar and cultivar-by-environment interaction effects on lesion growth were highly significant and moderately heritable (h2 ≥ 0.40). After excluding a single outlier cultivar, a strong and statistically significant association between lesion growth and overall QR was found. Lesion expansion appears to be an important component of QR to STB in most-but not all-wheat cultivars, underscoring its potential as a selection target. By facilitating the dissection of individual resistance components, our approach can support more targeted, knowledge-based breeding for durable QR.

利用田间表型组学量化病害生长的可预测性及其对定量抗性的贡献。
测量病原体繁殖的单个组成部分是了解降低速率的定量抗性(QR)机制的关键。模拟模型预测病害扩展在叶面疾病的季节性流行中起着关键作用,但是以足够的精度和规模测量病害生长以在现场条件下验证这些预测仍然是不切实际的。研究人员利用基于深度学习的图像分析技术,在两个田间季节对14个小麦品种的小麦酵母酵母病(Zymoseptoria tritici)造成的6889个单个病害进行了跟踪,实现了27,218个田间病害生长的精确和客观测量。反映特定宿主和病原体基因型之间特定相互作用的病变外观特征始终与病变生长相关,而宿主基因型和环境的总体影响是适度的。寄主品种和栽培-环境互作对病害生长的影响均极显著且具有中等遗传性(h2≥0.40)。在排除单个异常品种后,发现病变生长与总体QR之间存在统计学上显著的强相关性。在大多数小麦品种(但不是所有小麦品种)中,损伤扩展似乎是QR对STB的重要组成部分,强调了其作为选择目标的潜力。通过促进单个抗性成分的解剖,我们的方法可以支持更有针对性的,基于知识的耐用QR育种。
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来源期刊
Phytopathology
Phytopathology 生物-植物科学
CiteScore
5.90
自引率
9.40%
发文量
505
审稿时长
4-8 weeks
期刊介绍: Phytopathology publishes articles on fundamental research that advances understanding of the nature of plant diseases, the agents that cause them, their spread, the losses they cause, and measures that can be used to control them. Phytopathology considers manuscripts covering all aspects of plant diseases including bacteriology, host-parasite biochemistry and cell biology, biological control, disease control and pest management, description of new pathogen species description of new pathogen species, ecology and population biology, epidemiology, disease etiology, host genetics and resistance, mycology, nematology, plant stress and abiotic disorders, postharvest pathology and mycotoxins, and virology. Papers dealing mainly with taxonomy, such as descriptions of new plant pathogen taxa are acceptable if they include plant disease research results such as pathogenicity, host range, etc. Taxonomic papers that focus on classification, identification, and nomenclature below the subspecies level may also be submitted to Phytopathology.
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