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基因型抗性的全基因组关联研究。

Genome-wide association study of resistance in genotypes.

作者信息

Wang Yixiao, Fredua-Agyeman Rudolph, Yu Zhiyu, Hwang Sheau-Fang, Strelkov Stephen E

机构信息

Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.

出版信息

Front Plant Sci. 2024 Aug 27;15:1436982. doi: 10.3389/fpls.2024.1436982. eCollection 2024.

Abstract

Verticillium stripe, caused by , presents an emerging threat to Canadian canola (). Initially detected in Manitoba in 2014, the presence of this pathogen has since been confirmed across western Canada. Infections by can result in yield losses of up to 50%, which is a cause for concern given the susceptibility of most commercial Canadian canola cultivars. The objective of this study was to screen a collection of 211 genotypes for their reactions to , and to use genome-wide association study (GWAS) to identify single nucleotide polymorphism (SNP) markers for resistance. The plant material consisted of 110 rutabaga ( ssp. ), 35 canola, 40 , and 15 accessions or cultivars, alongside 11 hosts of the European Clubroot Differential (ECD) set. These materials were screened for resistance under greenhouse conditions and were genotyped using a 19K SNP array. Three general linear models (GLM), four mixed linear models (MLM), and three GWAS methods were employed to evaluate the markers. Eleven non-commercial accessions and 9 out of 35 commercial canola cultivars displayed a low normalized area under the disease progress curve (AUDPC). The non-commercial accessions could prove valuable as potential sources of resistance against . Forty-five SNP markers were identified to be significantly associated with resistance using single-SNP based GWAS analysis. In comparison, haplotype-based GWAS analyses identified 10 to 25 haplotype blocks to be significantly associated with resistance. Between 20% and 56% of QTLs identified by the more conventional single-SNP based GWAS analysis were also detected by the haplotype-based GWAS analysis. The overlapping genomic regions identified by the two GWAS methods present promising hotspots for marker-assisted selection in the future development of Verticillium stripe-resistant canola.

摘要

由[病原菌名称未给出]引起的黄萎条斑病,对加拿大油菜([油菜品种未给出])构成了新出现的威胁。2014年在曼尼托巴省首次检测到这种病原菌,此后在加拿大西部各地均证实了其存在。[病原菌名称未给出]感染可导致高达50%的产量损失,鉴于大多数加拿大商业油菜品种的易感性,这令人担忧。本研究的目的是筛选211个[植物品种未给出]基因型对[病原菌名称未给出]的反应,并使用全基因组关联研究(GWAS)来鉴定抗性的单核苷酸多态性(SNP)标记。植物材料包括110个芜菁([芜菁品种未给出]亚种)、35个油菜、40个[植物品种未给出]以及15个[植物品种未给出]种质或品种,还有11个欧洲根肿病鉴别寄主(ECD)系列的寄主。这些材料在温室条件下进行抗性筛选,并使用19K[芯片名称未给出]SNP阵列进行基因分型。采用了三种广义线性模型(GLM)、四种混合线性模型(MLM)和三种GWAS方法来评估这些标记。11个非商业[植物品种未给出]种质和35个商业油菜品种中的9个在病害进展曲线下的归一化面积(AUDPC)较低。这些非商业种质可能作为抗[病原菌名称未给出]的潜在抗性来源具有价值。使用基于单SNP的GWAS分析鉴定出45个SNP标记与[病原菌名称未给出]抗性显著相关。相比之下,基于单倍型的GWAS分析鉴定出10至25个单倍型块与[病原菌名称未给出]抗性显著相关。基于更传统的单SNP的GWAS分析鉴定出的QTL中有20%至56%也被基于单倍型的GWAS分析检测到。两种GWAS方法鉴定出的重叠基因组区域为未来抗黄萎条斑病油菜的开发中标记辅助选择提供了有前景的热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf6/11384582/ddd9b315546f/fpls-15-1436982-g001.jpg

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