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Genome‐wide analysis and prediction of Fusarium head blight resistance in soft red winter wheat
Crop Science ( IF 2.3 ) Pub Date : 2020-07-20 , DOI: 10.1002/csc2.20273
Dylan L. Larkin 1 , Amanda L. Holder 2 , R. Esten Mason 3 , David E. Moon 1 , Gina Brown‐Guedira 4, 5 , Paul P. Price 6 , Stephen A. Harrison 7 , Yanhong Dong 8
Affiliation  

Fusarium head blight (FHB) is a disease in wheat (Triticum aestivum L.) caused by the fungal pathogen Fusarium graminearum Schwabe. Fusarium head blight poses potential economic losses and health risks due to the accumulation of the mycotoxin deoxynivalenol (DON) on infected seed heads. The objectives of this study were to identify novel FHB resistance loci using a genome‐wide association study (GWAS) approach and to evaluate two genomic selection (GS) approaches to improve prediction accuracies for FHB traits in a population of 354 soft red winter wheat (SRWW) genotypes. The GS approaches included GS+GWAS, where markers associated with a trait were used as fixed effects, and multivariate GS (MVGS), where correlated traits were used as covariates. The population was evaluated in FHB nurseries in Fayetteville and Newport, AR, and Winnsboro, LA, from 2014 to 2017. Genotypes were phenotyped for DON, Fusarium‐damaged kernels (FDK), incidence (INC), and severity (SEV). Forty‐two single nucleotide polymorphism (SNP) markers were significantly (false discovery rate, q [FDRq] ≤ .10) associated with resistance traits across 17 chromosomes. Ten significant SNPs were identified for DON, notably on chromosomes 2BL and 3BL. Eleven were identified for FDK, notably on chromosomes 4BL, 3AL, 1BL, 5BL, and 5DL. Nine were identified for INC, notably on chromosomes 2BS, 2BL, 7BL, 5DL, 6AS, and 5DS. Twelve were identified for SEV, notably on chromosomes 3BL, 4AL, and 4BL. The naïve GS models significantly outperformed the GS+GWAS model for all traits, whereas MVGS models significantly outperformed the naïve GS models for all traits. Results from this study will facilitate the development of SRWW cultivars with improved FHB resistance.

中文翻译:

全基因组分析和预测软红冬小麦的枯萎病抗性

镰刀菌枯萎病(FHB)是一种由真菌病原体禾谷镰刀菌引起的小麦病(Triticum aestivum L.)施瓦贝。由于霉菌毒素脱氧雪腐烯醇(DON)积累在受感染的种子头上,镰刀菌枯萎病造成了潜在的经济损失和健康风险。这项研究的目的是使用全基因组关联研究(GWAS)方法鉴定新的FHB抗性基因座,并评估两种基因组选择(GS)方法以提高354个软红冬小麦群体FHB性状的预测准确性( SRWW)基因型。GS方法包括GS + GWAS(其中与性状相关的标记用作固定效应)和多元GS(MVGS),其中相关性状用作协变量。从2014年到2017年,在Fayetteville和AR,Newport和LA的Winsboro的FHB苗圃中对该种群进行了评估。对DON,镰刀菌损坏的籽粒(FDK),发生率(INC)和严重性(SEV)进行了基因型分型。q [FDR q ]≤.10)与17条染色体的抗性性状相关。鉴定出DON的十个重要SNP,特别是在2BL和3BL染色体上。鉴定出11种FDK,特别是在4BL,3AL,1BL,5BL和5DL染色体上。鉴定出9个INC突变,特别是在2BS,2BL,7BL,5DL,6AS和5DS染色体上。鉴定出十二个SEV,特别是在3BL,4AL和4BL染色体上。对于所有性状,纯朴的GS模型明显优于GS + GWAS模型,而对于所有性状,MVGS模型显着优于纯朴的GS模型。这项研究的结果将有助于开发具有更高FHB抗性的SRWW品种。
更新日期:2020-07-20
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