Genome-wide association mapping and genomic predictions for Bacterial fruit blotch resistance in the USDA Citrullus amarus collection.

IF 4.4 2区 农林科学 Q1 PLANT SCIENCES
Venkata Rao Ganaparthi, Patrick Wechter, Melanie Katawczik, Amnon Levi, Sandra Branham
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引用次数: 0

Abstract

Acidovorax citrulli infects seedlings, adult plants and fruits, causing bacterial fruit blotch (BFB) in watermelon. Host resistance would provide an effective and economical management option for BFB but there are currently no resistant watermelon cultivars. Several resistant accessions were previously identified in the USDA Citrullus amarus collection. Identifying the genetic basis of this resistance would allow the development of BFB-resistant cultivars through introgression from this crop wild relative. Genome-wide association studies (GWAS) are an excellent tool for dissecting the genetic architecture of a trait. The USDA Citrullus amarus collection (N=127 accessions) was genotyped with whole genome resequencing, resulting in 2,126,759 SNP markers, then phenotyped for BFB-resistance and used for GWAS of seedling resistance to A. citrulli. Four models were used for GWAS in R with the GAPIT package. MLM and MLMM analysis did not identify any significant marker associations. FarmCPU identified three quantitative trait nucleotides (QTN) on chromosomes 2, 4, and 8. BLINK identified only one significant QTN on chromosome 8. The three significant QTNs explained 65.1% of the phenotypic variance using a linear regression model. Putative candidate genes within the linkage disequilibrium blocks of significant SNPs code proteins relevant to biotic resistance, such as Patellin-6, macrophage migration inhibitory factor homolog, PRA1 family protein and trichome birefringence-like family proteins. The predictive ability of six genomic prediction models for A. citrulli seedling resistance ranged from 0.45 to 0.75. Along with identifying genomic regions associated with BFB seedling resistance, this study observed moderate to high predictive abilities across genomic prediction models.

美国农业部西瓜果实细菌性斑病抗性的全基因组关联图谱和基因组预测。
瓜酸霉侵染西瓜幼苗、成虫和果实,引起西瓜细菌性果斑病(BFB)。寄主抗性是一种经济有效的防治方法,但目前尚无抗病西瓜品种。以前在美国农业部的柑橘收集中发现了几个抗性材料。确定这种抗性的遗传基础,将有助于从该作物的野生近缘种中通过渐渗培育出抗bfb的品种。全基因组关联研究(GWAS)是分析性状遗传结构的一个很好的工具。采用全基因组重测序技术对美国农业部(USDA)收集的127份西葫芦(Citrullus amarus)进行基因分型,得到2126759个SNP标记,对其进行bfb抗性表型分析,并用于西葫芦幼苗抗性的GWAS分析。使用GAPIT软件包在R中对GWAS进行了四种模型分析。MLM和MLMM分析没有发现任何显著的标记关联。FarmCPU在染色体2、4和8上鉴定出3个数量性状核苷酸(QTN)。BLINK只在8号染色体上发现了一个显著的QTN。使用线性回归模型,三个显著qtn解释了65.1%的表型方差。在与生物抗性相关的重要snp连锁不平衡区域内的推定候选基因,如Patellin-6、巨噬细胞迁移抑制因子同源物、PRA1家族蛋白和毛状体双折射样家族蛋白。6种基因组预测模型对瓜苗抗性的预测能力在0.45 ~ 0.75之间。随着确定与BFB幼苗抗性相关的基因组区域,本研究观察到基因组预测模型具有中等到高的预测能力。
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来源期刊
Plant disease
Plant disease 农林科学-植物科学
CiteScore
5.10
自引率
13.30%
发文量
1993
审稿时长
2 months
期刊介绍: Plant Disease is the leading international journal for rapid reporting of research on new, emerging, and established plant diseases. The journal publishes papers that describe basic and applied research focusing on practical aspects of disease diagnosis, development, and management.
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