Genome wide association study and genomic prediction for stripe rust resistance at the seedling stage in advanced spring bread wheat genotypes of ICARDA Morocco

Q3 Agricultural and Biological Sciences
Khalil El Messoadi , Houda El yacoubi , Atmane Rochdi , Wuletaw Tadesse
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引用次数: 0

Abstract

One of the most devastating diseases impacting wheat (Triticum aestivum L.) worldwide is stripe rust, which is propagated by Puccinia striiformis f. Sp. Tritici (Pst). The development and utilization of resistant cultivars offer an effective and eco-friendly approach to manage this disease. However, the emergence of new virulent strains of Pst, driven by continuous mutations within the pathogen, rapidly undermines the effectiveness of existing resistance genes. This necessitates the ongoing identification and incorporation of new resistance genes to breed wheat varieties that can maintain resistance against evolving strains of the pathogen. A genome-wide association study (GWAS) and genomic prediction (GP) were conducted using yellow rust data from the seedling stage under controlled conditions, involving 200 elite bread wheat genotypes and 13,151 SNP markers. GWAS analysis identified fourteen SNP markers significantly associated with yellow rust resistance, using a general linear model (GLM). The markers (wsnp Ex c1085 2078944, wsnp Ku c3682 6,786,230) on chromosome 1D and (wsnp Ex c8240 13,914,674) on chromosome 3A were notably correlated with seedling-level resistance to yellow rust. Additionally, the marker 'AX-94703603′ on chromosome 3A, which recorded the highest -Log10(p) value, was linked to the gene 'TraesCS3A02G335300' encoding the protein kinase domain. These markers, after validation, could be utilized for gene pyramiding in wheat breeding programs to enhance rust resistance through marker-assisted selection.

国际农业研究与发展中心(ICARDA)摩洛哥先进春季面包小麦基因型苗期条锈病抗性的全基因组关联研究和基因组预测
条锈病是影响全球小麦(Triticum aestivum L.)的最具破坏性的病害之一,它是由条锈病菌(Puccinia striiformis f. Sp. Tritici)(Pst.Tritici(Pst)传播。抗性栽培品种的开发和利用为管理这种病害提供了一种有效且环保的方法。然而,在病原体不断变异的驱动下,Pst 新毒株的出现迅速削弱了现有抗性基因的有效性。因此,有必要不断鉴定和加入新的抗性基因,以培育出能对不断进化的病原菌株保持抗性的小麦品种。利用受控条件下幼苗期的黄锈病数据,进行了全基因组关联研究(GWAS)和基因组预测(GP),涉及 200 个精英面包小麦基因型和 13,151 个 SNP 标记。利用一般线性模型(GLM),GWAS 分析确定了 14 个与黄锈病抗性显著相关的 SNP 标记。1D 染色体上的标记(wnsnp Ex c1085 2078944、wnsnp Ku c3682 6,786,230)和 3A 染色体上的标记(wnsnp Ex c8240 13,914,674)与黄锈病的苗期抗性明显相关。此外,染色体 3A 上的标记 "AX-94703603′"与编码蛋白激酶结构域的基因 "TraesCS3A02G335300 "相关,该标记的 -Log10(p) 值最高。这些标记经过验证后,可用于小麦育种计划中的基因分层,通过标记辅助选择提高小麦的抗锈病能力。
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来源期刊
Ecological Genetics and Genomics
Ecological Genetics and Genomics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.80
自引率
0.00%
发文量
44
期刊介绍: Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms
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