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利用高密度标记阵列进行欧洲冬小麦成株期条锈病的全基因组关联作图和预测。

Genome-wide Association Mapping and Prediction of Adult Stage Blotch Infection in European Winter Wheat via High-Density Marker Arrays.

出版信息

Plant Genome. 2019 Mar;12(1). doi: 10.3835/plantgenome2018.05.0029.

Abstract

blotch (STB) caused by the fungus is a devastating foliar disease of wheat ( L.) that can lead to substantial yield losses. Quantitative genetic resistance has been proposed as a durable strategy for STB control. In this study, we dissected the genetic basis of STB infection in 371 European wheat varieties based on 35k and 90k single nucleotide polymorphism marker arrays. The phenotypic data analyses suggested that large genetic variance exists for STB infection with a broad-sense heritability of 0.78. Genome-wide association studies (GWAS) propose the highly quantitative nature of STB infection with potential associations on chromosomes 1A, 1B, 2D, 4A, 5A, 6A, 6D, 7A, and 7B. Increased marker density in GWAS by combining markers from both arrays helped to detect additional markers explaining increased genotypic variance. Linkage disequilibrium analyses revealed genes with a possible role in disease resistance. The potential of genomic prediction (GP) assessed via two models accounting for additive effects and additive plus epistatic interactions among the loci suggested the possibility of genomic selection for improved STB resistance. Genomic prediction results also indicated that the higher-order epistatic interactions are not abundant and that both marker platforms are equally suitable for GP of STB infection. Our results provide further understanding of the quantitative genetic nature of STB infection, serve as a resource for marker-assisted breeding, and highlight the potential of genomic selection for improved STB resistance.

摘要

小麦条锈病(STB)是一种由真菌引起的毁灭性叶部病害,可导致大量减产。定量遗传抗性被认为是控制 STB 的一种持久策略。在这项研究中,我们基于 35k 和 90k 单核苷酸多态性标记阵列,对 371 个欧洲小麦品种的 STB 感染进行了遗传基础分析。表型数据分析表明,STB 感染存在较大的遗传方差,广义遗传率为 0.78。全基因组关联研究(GWAS)表明,STB 感染具有高度的数量性质,在染色体 1A、1B、2D、4A、5A、6A、6D、7A 和 7B 上可能存在关联。通过组合两个阵列中的标记来增加 GWAS 中的标记密度,有助于检测到更多解释增加基因型方差的标记。连锁不平衡分析揭示了可能在抗病性中发挥作用的基因。通过两种模型(考虑加性效应和位点间的加性加性互作)评估基因组预测(GP)的潜力,表明了通过基因组选择提高 STB 抗性的可能性。基因组预测结果还表明,高阶互作并不丰富,并且两个标记平台都同样适合 STB 感染的 GP。我们的研究结果进一步了解了 STB 感染的定量遗传性质,为标记辅助育种提供了资源,并强调了基因组选择提高 STB 抗性的潜力。

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