QTL Mapping of Adult Plant Resistance to Stripe Rust in a Doubled Haploid Wheat Population

Tehseen, Muhammad Massub; Tonk, Fatma Aykut; Tosun, Muzaffer; Randhawa, H. S.; Kurtulus, Ezgi; Özseven, İzzet; Akin, Behyan; Zulfuagaoglu, Ozge Nur; Nazari, K.

doi:10.3389/fgene.2022.900558

Cited by 15 publications

(6 citation statements)

References 60 publications

(68 reference statements)

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“…Even though it is challenging to compare the positions of QTLs from different studies because of the different mapping methodologies, marker systems, and mapping populations employed, some QTLs found in this study coincided with the mapping positions of previously reported yellow rust resistant genes in the literature. Similar to the current study, several earlier studies reported yellow rust-resistant QTLs on 1A ( Fu et al., 2019 ; Tehseen et al., 2020 ; Yao et al., 2021 ; Baranwal et al., 2022 ; Bouvet et al., 2022 ), on 1B ( Losert et al., 2017 ; Alemu et al., 2020 ; Baranwal et al., 2022 ), on 1D ( Long et al., 2019 ; Jia et al., 2020 ; Zhang et al, 2021 ; Baranwal et al., 2022 ; Kumar et al., 2023 ) on 2A ( Tehseen et al., 2020 ; Zhang et al., 2021 ; Zhang et al., 2021 ; Baranwal et al., 2022 ), on 2B ( Li et al., 2020 ), on 2D ( Mu et al., 2020 ; Baranwal et al., 2022 ), on 3A ( Tehseen et al., 2022 ), on 3B ( Zegeye et al., 2014 ; Kumar et al., 2020 ), on 3D ( Bouvet et al., 2022 ), on 4A ( Mu et al., 2020 ), on 4B ( Alemu et al., 2020 ), on 4D ( Rollar et al., 2021 ), on 5A ( Zhang et al., 2021 ), on 5B ( Lu et al., 2014 ), on 5D ( Zhang et al., 2021 ), on 6A ( Baranwal et al., 2022 ), on 6B ( Zhang et al., 2021 ) on 7A ( Yel et al., 2019 ; Alemu et al., 2020 ; Tehseen et al., 2020 ; Baranwal et al., 2022 ), and on 7D ( Long et al,. 2019 ; Rollar et al., 2021 ).…”

Section: Discussionsupporting

confidence: 91%

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

Atsbeha,

Mekonnen,

Kebede

et al. 2023

Front. Plant Sci.

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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 r2 = 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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Section: Discussionsupporting

confidence: 91%

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

Atsbeha,

Mekonnen,

Kebede

et al. 2023

Front. Plant Sci.

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“…f. sp. tritici Erikss ( Pst ) is one of the most devastating diseases of the wheat crop worldwide [ 7 – 9 ]. Stripe rust causes significant reductions in both yield and grain quality.…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association study for resistance in bread wheat (Triticum aestivum L.) to stripe rust (Puccinia striiformis f. sp. tritici) races in Argentina

Alonso

Polacco

Campos³

et al. 2022

BMC Plant Biol

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Background Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most devastating diseases of the wheat crop. It causes significant reductions in both grain yield and grain quality. In recent years, new and more virulent races have overcome many of the known resistance genes in Argentinian germplasm. In order to identify loci conferring resistance to the local races of Pst for effective utilization in future breeding programs, a genome-wide association study (GWAS) was performed using a collection of 245 bread wheat lines genotyped with 90 K SNPs. Results To search for adult plant resistance (APR) the panel was evaluated for disease severity (DS) and area under disease progress curve (AUDPC) in field trials during two years under natural infection conditions. To look for seedling or all-stage resistance (ASR) the panel was evaluated to determine infection type (IT) under greenhouse conditions against two prevalent races in Argentina. The phenotypic data showed that the panel possessed enough genetic variability for searching for sources of resistance to Pst. Significant correlations between years were observed for Pst response in the field and high heritability values were found for DS (H2 = 0.89) and AUDPC (H2 = 0.93). Based on GWAS, eight markers associated with Pst resistance (FDR < 0.01) were identified, of these, five were associated with ASR (on chromosomes 1B, 2A, 3A and 5B) and three with APR (on chromosomes 3B and 7A). These markers explained between 2% and 32.62% of the phenotypic variation. Five of the markers corresponded with previously reported Yr genes/QTL, while the other three (QYr.Bce.1B.sd.1, QYr.Bce.3A.sd and QYr.Bce.3B.APR.2) might be novel resistance loci. Conclusion Our results revealed high genetic variation for resistance to Argentinian stripe rust races in the germplasm used here. It constitutes a very promising step towards the improvement of Pst resistance of bread wheat in Argentina. Also, the identification of new resistance loci would represent a substantial advance for diversifying the current set of resistance genes and to advance in the improvement of the durable resistance to the disease.

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“…All-stage resistance (ASR) and adult plant resistance (APR) are the two most common types of host defense against rust in wheat [4]. Unlike ASR, which is effective from seedling to mature stages of plant growth, APR is only active in the late stages of plant growth [18]. APR usually only gives partial resistance, although it is more durable and efficient over all or a larger range of Pst races than ASR [19].…”

Section: Introductionmentioning

confidence: 99%

A Review on Major Rust Resistance Gene and Amino Acid Changes on Wheat (Triticum aestivum L)

Basnet

Juliana

Bhattarai

et al. 2022

Advances in Agriculture

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Wheat ranks first in the production and productivity of staple cereal crops in the world. Several diseases, including Stripe (Puccinia striiformis f. Sp. tritici), Black (Puccinia graminis f. Sp. tritici), and Brown (Puccinia recondita), have a major negative impact on wheat output, with 20 to 80% loss annually. Growing rust-resistant varieties is the most durable, cost-effective, and environmentally friendly way to combat rust pathogens. In the present review, we provide updated information on all black stem rust, yellow leaf rust, and brown leaf rust resistance genes including chromosomal position, those derived from different sources, nature of resistance type, and amino acid changes done by this gene against rust pathogen. This study summarized the 68 black stem rust, 101 leaf rust, and 108 stripe rust resistance genes from diverse cultivars of wheat and wheat primary and secondary gene pools. This review will be valuable to wheat breeders in cloning rust-resistant genes and developing leaf as well as stem rust-resistant wheat cultivars using gene pyramiding as well as frequency multiplication through introgression of the gene of interest for disease-free, sustainable grain production of wheat. The success of pyramiding genes from other sources to bread wheat depends on the nature of germplasm, the gap between flanking marker and targeted genes, the selection of genotypes in each generation, large number of gentoyes large genotype-environment interaction, etc., which is the future area of study.

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QTL Mapping of Adult Plant Resistance to Stripe Rust in a Doubled Haploid Wheat Population

Cited by 15 publications

References 60 publications

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

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

Genome-wide association study for resistance in bread wheat (Triticum aestivum L.) to stripe rust (Puccinia striiformis f. sp. tritici) races in Argentina

A Review on Major Rust Resistance Gene and Amino Acid Changes on Wheat (Triticum aestivum L)

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