Identification of Rust Resistance Genes in Wheat (Triticum aestivum L.) Using Molecular Markers and Host–Pathogen Interaction Tests

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Journal of Phytopathology Pub Date : 2024-10-24 DOI:10.1111/jph.13417
Dharam Pal, Subodh Kumar, Subhash Chander Bhardwaj, Om Prakash Gangwar, Anjali Pal, Madhu Patial, Santosh Watpade,  Harikrishna, Niharika Mallick, Vikas Fandade, J. K. Roy
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Abstract

The leaf rust (Puccinia triticina f. sp. tritici), stripe rust (Puccinia striiformis f. sp. tritici), and stem rust (Puccinia graminis f. sp. tritici) are major fungal constraints affecting wheat production worldwide. Identifying and deploying wheat varieties with diverse resistance are the best ways to manage all the rusts. Therefore, a continuous search goes on to identify diverse germplasm with effective rust resistance that expresses at different stages of plant growth (seedling and adult plant). A set of 22 rust resistant wheat genotypes and 4 checks (controls), viz., Avocet-Yr10, Avocet -Yr15, Agra Local, and respective positive checks were studied for characterising rust resistance genes using host–pathogen interactions complemented by molecular markers. Among 22 elite genotypes, 05 genotypes amplified 191 bp fragment with marker PSY1E1, confirmed the presence of gene Lr19/Sr25. These genotypes also expressed resistance to most virulent leaf rust pathotypes, 77-5 and 77-9 in host–pathogen interaction test (HPI). Seven genotypes showed the presence of Lr34/Yr18/Sr57/Pm38/Ltn1 in homozygous state, whereas G4 showed its presence in heterozygous condition. Among 22 genotypes, 16 genotypes possessed Yr10. Five genotypes (22.7%) exhibited two gene combinations, Lr19/Sr25, and Yr10 as revealed through the detection of 191 bp fragment with marker PSY1E1 and 260 bp fragment with co-dominantly inherited microsatellite marker Xpsp3000, respectively. All five genotypes (G2, G3, G8, G9, and G18) also expressed brown glumes controlled by the gene Rg1 tightly linked to Yr10 on the 1BS chromosome. Broad spectrum rust resistance present in these lines in good agronomic backgrounds could be used as potent genetic donors for diverse and durable rust resistance breeding programmes in wheat.

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利用分子标记和宿主-病原体相互作用试验鉴定小麦(Triticum aestivum L. )的抗锈病基因
叶锈病(Puccinia triticina f. sp. tritici)、条锈病(Puccinia striiformis f. sp. tritici)和茎锈病(Puccinia graminis f. sp. tritici)是影响全球小麦生产的主要真菌制约因素。鉴定和培育具有多种抗性的小麦品种是管理所有锈病的最佳方法。因此,人们一直在寻找具有有效抗锈病能力的多样化种质,这些种质在植物生长的不同阶段(幼苗和成株)都有表现。我们研究了一组 22 个抗锈病小麦基因型和 4 个对照(对照),即 Avocet-Yr10、Avocet-Yr15、Agra Local,以及各自的阳性对照,利用分子标记补充宿主与病原体之间的相互作用来鉴定抗锈病基因。在 22 个优良基因型中,05 个基因型扩增出 191 bp 的标记片段 PSY1E1,证实了 Lr19/Sr25 基因的存在。这些基因型还在宿主-病原体相互作用试验(HPI)中表现出对毒性最强的叶锈病病型 77-5 和 77-9 的抗性。7 个基因型表现出 Lr34/Yr18/Sr57/Pm38/Ltn1 的同源杂合状态,而 G4 则表现出杂合状态。在 22 个基因型中,16 个基因型具有 Yr10。有 5 个基因型(22.7%)表现出 Lr19/Sr25 和 Yr10 两种基因组合,这分别是通过检测 191 bp 片段的标记 PSY1E1 和 260 bp 片段的共显性遗传微卫星标记 Xpsp3000 发现的。所有五个基因型(G2、G3、G8、G9 和 G18)也都表现出棕色颖壳,由与 1BS 染色体上的 Yr10 紧密相连的基因 Rg1 控制。这些具有良好农艺背景的品系具有广谱抗锈性,可作为有力的基因供体,用于小麦多样化和持久抗锈性育种计划。
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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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