Yellow Dwarf Virus Resistance in Barley: Phenotyping, Remote Imagery, and Virus-Vector Characterization.

IF 2.6 2区 农林科学 Q2 PLANT SCIENCES
Phytopathology Pub Date : 2024-09-01 Epub Date: 2024-09-10 DOI:10.1094/PHYTO-10-23-0394-KC
Chris Massman, Hannah M Rivedal, Seth J Dorman, K Christy Tanner, Chance Fredrickson, Todd N Temple, Scott Fisk, Laura Helgerson, Patrick M Hayes
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引用次数: 0

Abstract

Yellow dwarf viruses (YDVs) spread by aphids are some of the most economically important barley (Hordeum vulgare) virus-vector complexes worldwide. Detection and control of these viruses are critical components in the production of barley, wheat, and numerous other grasses of agricultural importance. Genetic control of plant diseases is often preferable to chemical control to reduce the environmental and economic cost of foliar insecticides. Accordingly, the objectives of this work were to (i) screen a barley population for resistance to YDVs under natural infection using phenotypic assessment of disease symptoms, (ii) implement drone imagery to further assess resistance and test its utility as a disease screening tool, (iii) identify the prevailing virus and vector types in the experimental environment, and (iv) perform a genome-wide association study to identify genomic regions associated with measured traits. Significant genetic differences were found in a population of 192 barley inbred lines regarding their YDV symptom severity, and symptoms were moderately to highly correlated with grain yield. The YDV severity measured with aerial imaging was highly correlated with on-the-ground estimates (r = 0.65). Three aphid species vectoring three YDV species were identified with no apparent genotypic influence on their distribution. A quantitative trait locus impacting YDV resistance was detected on chromosome 2H, albeit undetected using aerial imaging. However, quantitative trait loci for canopy cover and mean normalized difference vegetation index were successfully mapped using the drone. This work provides a framework for utilizing drone imagery in future resistance breeding efforts for YDVs in cereals and grasses, as well as in other virus-vector disease complexes.

大麦的 YDV 抗性:表型、遥感图像和病毒-病媒特征描述。
由蚜虫传播的黄矮病毒(YDV)是全球经济上最重要的大麦(Hordeum vulgare L.)病毒-媒介复合体。这些病毒的检测和控制是大麦、小麦和其他许多重要农作物生产的关键环节。植物病害的基因控制通常优于化学防治,以降低叶面杀虫剂的流行病学、环境和经济成本。因此,这项工作的目标是:I)利用疾病症状的表型评估筛选大麦群体在自然感染情况下对 YDV 的抗性;II)利用无人机成像进一步评估抗性,并测试其作为疾病筛选工具的效用;III)确定实验环境中流行的病毒和病媒类型;IV)进行全基因组关联研究,以确定与测量性状相关的基因组区域。在 192 个大麦近交系群体中发现,它们的 YDV 症状严重程度存在显著的遗传差异,且症状与谷物产量呈中度到高度相关。通过航空成像测量的 YDV 严重程度与实地估计值高度相关(r=0.65)。确定了三种蚜虫传播三种 YDV,其分布没有明显的基因型影响。在 2H 染色体上检测到一个影响 YDV 抗性的 QTL,尽管使用航空成像技术未检测到。不过,利用无人机成功绘制了冠层覆盖和平均 NDVI 的 QTL 图。这项工作为今后利用无人机成像进行谷物和禾本科植物以及其他病毒-媒介疾病复合体的 YDV 抗性育种工作提供了一个框架。
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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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