Genetic architecture of adult-plant resistance to stripe rust in bread wheat (Triticum aestivum L.) association panel

被引:2
作者
Atsbeha, Genet [1 ]
Mekonnen, Tilahun [2 ]
Kebede, Mulugeta [3 ]
Haileselassie, Teklehaimanot [2 ]
Goodwin, Stephen B. [4 ]
Tesfaye, Kassahun [2 ,5 ]
机构
[1] Adama Sci & Technol Univ, Sch Appl Nat Sci, Dept Appl Biol, Adama, Ethiopia
[2] Addis Ababa Univ, Inst Biotechnol, Addis Ababa, Ethiopia
[3] Addis Ababa Univ, Dept Plant Biol & Biodivers Management, Addis Ababa, Ethiopia
[4] Purdue Univ, Agr Res Serv, USDA, Dept Bot & Plant Pathol, W Lafayette, IN USA
[5] Addis Ababa Univ, Bio & Emerging Technol Inst, Inst Biotechnol, Addis Ababa, Ethiopia
来源
FRONTIERS IN PLANT SCIENCE | 2023年 / 14卷
关键词
genome wide association study; linkage disequilibrium; marker assisted breeding; novel loci; Puccinia striiformis; quantitative trait loci; yellow rust; PUCCINIA-STRIIFORMIS; DISEASE RESISTANCE; SOFTWARE; DART; QTL;
D O I
10.3389/fpls.2023.1256770
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a severe disease in wheat worldwide, including Ethiopia, causing up to 100% wheat yield loss in the worst season. The use of resistant cultivars is considered to be the most effective and durable management technique for controlling the disease. Therefore, the present study targeted the genetic architecture of adult plant resistance to yellow rust in 178 wheat association panels. The panel was phenotyped for yellow rust adult-plant resistance at three locations. Phonological, yield, yield-related, and agro-morphological traits were recorded. The association panel was fingerprinted using the genotyping-by-sequencing (GBS) platform, and a total of 6,788 polymorphic single nucleotide polymorphisms (SNPs) were used for genome-wide association analysis to identify effective yellow rust resistance genes. The marker-trait association analysis was conducted using the Genome Association and Prediction Integrated Tool (GAPIT). The broad-sense heritability for the considered traits ranged from 74.52% to 88.64%, implying the presence of promising yellow rust resistance alleles in the association panel that could be deployed to improve wheat resistance to the disease. The overall linkage disequilibrium (LD) declined within an average physical distance of 31.44 Mbp at r(2) = 0.2. Marker-trait association (MTA) analysis identified 148 loci significantly (p = 0.001) associated with yellow rust adult-plant resistance. Most of the detected resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance and mapped on chromosomes 1A, 1B, 1D, 2A, 2B, 2D, 3A, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6A, 6B, 7A, and 7D. However, 12 of the discovered MTAs were not previously documented in the wheat literature, suggesting that they could represent novel loci for stripe rust resistance. Zooming into the QTL regions in IWGSC RefSeq Annotation v1 identified crucial disease resistance-associated genes that are key in plants' defense mechanisms against pathogen infections. The detected QTLs will be helpful for marker-assisted breeding of wheat to increase resistance to stripe rust. Generally, the present study identified putative QTLs for field resistance to yellow rust and some important agronomic traits. Most of the discovered QTLs have been reported previously, indicating the potential to improve wheat resistance to yellow rust by deploying the QTLs discovered by marker-assisted selection.
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页数:24
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