Genome-Wide Association Studies in Diverse Spring Wheat Panel for Stripe, Stem, and Leaf Rust Resistance

生物 种质资源 茎锈病 遗传力 条锈病 Rust(编程语言) 农学 人口 作物 关联映射 抗性(生态学) 植物抗病性 基因型 生物技术 遗传学 基因 单核苷酸多态性 医学 程序设计语言 环境卫生 计算机科学
作者
Dhiraj Kumar,Animesh Kumar,Vinod Chhokar,O. P. Gangwar,Subhash Bhardwaj,M. Sivasamy,S. V. Sai Prasad,T. L. Prakasha,Hanif Khan,R. P. Singh,Pradeep Sharma,Sonia Sheoran,Mir Asif Iquebal,Sarika Jaiswal,U. B. Angadi,Gyanendra Pratap Singh,Anil Rai,Gyanendra Pratap Singh,Dinesh Kumar,Ruchi Tiwari
出处
期刊:Frontiers in Plant Science [Frontiers Media SA]
卷期号:11 被引量:39
标识
DOI:10.3389/fpls.2020.00748
摘要

Among several important wheat foliar diseases, Stripe rust (YR), Leaf rust (LR), and Stem rust (SR) have always been an issue of concern to the farmers and wheat breeders. Evolution of virulent pathotypes of these rusts has posed frequent threats to an epidemic. Pyramiding rust-resistant genes are the most economical and environment-friendly approach in postponing this inevitable threat. To achieve durable long term resistance against the three rusts, an attempt in this study was made searching for novel sources of resistant alleles in a panel of 483 spring wheat genotypes. This is a unique and comprehensive study where evaluation of a diverse panel comprising wheat germplasm from various categories and adapted to different wheat agro-climatic zones was challenged with 18 pathotypes of the three rusts with simultaneous screening in field conditions. The panel was genotyped using 35K SNP array and evaluated for each rust at two locations for two consecutive crop seasons. High heritability estimates of disease response were observed between environments for each rust type. A significant effect of population structure in the panel was visible in the disease response. Using a compressed mixed linear model approach, 25 genomic regions were found associated with resistance for at least two rusts. Out of these, seven were associated with all the three rusts on chromosome groups 1 and 6 along with 2B. For resistance against YR, LR, and SR, there were 16, 18, and 27 QTL (quantitative trait loci) identified respectively, associated at least in two out of four environments. Several of these regions got annotated with resistance associated genes viz. NB-LRR, E3-ubiquitin protein ligase, ABC transporter protein, etc. Alien introgressed (on 1B and 3D) and pleiotropic (on 7D) resistance genes were captured in seedling and adult plant disease responses, respectively. The present study demonstrates the use of genome-wide association for identification of a large number of favorable alleles for leaf, stripe, and stem rust resistance for broadening the genetic base. Quick conversion of these QTL into user-friendly markers will accelerate the deployment of these resistance loci in wheat breeding programs.
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