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Identification of Adult Plant Stripe Rust Resistance Candidate Genes of YrZ501-2BL by Gene Association and Transciptome Analysis in Wheat (Triticum aestivum L.)
Scientia Agricultura Sinica 2023, 56(8): 1429-1443
Published: 16 April 2023
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【Objective】

Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), significantly reduced wheat production worldwide. Identification of stripe rust resistance genes is the foundation of improving wheat resistance breeding and revealing its genetic mechanism.

【Method】

A multi-omics approach combined with genome-wide association study (GWAS) was used for dissecting adult plant stripe rust resistance for wheat advanced breeding lines collected from International Maize and Wheat Improvement Center (CIMMYT) and International Centre for Agricultural Research in the Dry Areas (ICARDA) bread-wheat breeding programs. In the present study, a diversity panel of 411 wheat lines from CIMMYT and ICARDA was used for genome-wide association study and a major locus on chromosome arm 2BL was identified. In order to verify the stability of the locus, the resistant line Z501 with the resistance allele of the locus was crossed by the susceptible line Jinmai 79, and the locus tentatively named YrZ501 was successfully confirmed using linkage mapping based on F2:3 genetic population of Jinmai 79×Z501. Then we performed candidate gene analysis based on gene annotation, comparative genome, transcriptome and gene-based association analysis.

【Result】

Combining GWAS and linkage mapping results, the YrZ501-2BL was located in the physical interval of 0.26 Mb (575.706-576.587 Mb) on chromosome 2B. According to the annotation information of Chinese Spring reference genome IWGSC v1.1, there were six high confidence genes of 12 genes in this region. Using online website, the target interval in the Chinese spring reference genome was compared with other published different ploidy wheat genomes. The six high-confidence genes within this interval can basically be found homologous in other wheat lines, and the genes arranged in the same order, indicating that the interval may not have large fragment insertions, deletions and inversions. The above results showed that we can perform candidate gene prediction analysis based on the reference genome information. After analysis of their transcriptomic data between the resistant parent Z501 and susceptible parent Jimai 79, only three genes, TraesCS2B02G406400, TraesCS2B02G406500 and TraesCS2B02G406600 showed variable expression levels and were induced by stripe rust infection. Further, they encode GATA transcription factor, SH3 domain-containing protein 2 and zinc finger protein, respectively. Gene-based association analysis revealed that there was a significant SNP (G1369A) in TraesCS2B02G406500 that was associated with stripe rust responses. Although this SNP (G1369A) did not cause amino acid coding changes (both TCG and TCA encode serine), it may be associated with alternative splicing. Moreover, it showed significant differences of the stripe rust responses between the different haplotypes (G1369A). Further analysis revealed two other variants G1377A and G1431A, that caused amino acid changes, i. e. valine (GTT) to isoleucine (ATT) and valine (GTG) to methionine (ATG), respectively. However, the two SNPs were rare variants as they accounting for only 0.87% of the 455 re-sequencing wheat accessions and they were not tested for significance. In summary, TraesCS2B02G406500 was preliminarily considered as an important candidate gene of YrZ501-2BL. In addition, the corresponding AQP markers were developed based on the SNPs among the YrZ501 candidate regions, which can be used to marker-assisted selection in molecular breeding application of wheat stripe rust resistance.

【Conclusion】

A candidate causal gene TraesCS2B02G406500 associated with stripe rust resistance was successfully identified on wheat chromosome 2B using an integrated method of multi-omics and association analysis, which laid a solid foundation for further gene cloning and functional verification.

Open Access Research Article Issue
Genome-wide association study reveals genomic regions for nitrogen, phosphorus and potassium use efficiency in bread wheat
Journal of Integrative Agriculture (JIA) 2026, 25(3): 847-863
Published: 27 June 2024
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The development of wheat cultivars with improved nitrogen (N), phosphorus (P), and potassium (K) use efficiency is essential for sustainable agriculture. Genetic dissection and identification of causative genes underlying nutrient use efficiency represent a key strategy toward this goal. We conducted an extensive genome-wide association study (GWAS) using a panel of 431 wheat cultivars, identifying 1,659 significant single-nucleotide polymorphisms (SNPs) (LOD>5) through genotyping-by-sequencing. This analysis revealed 534 quantitative trait loci (QTLs) associated with 12 nutrient use efficiency traits across five distinct environments, among which 14 QTLs were consistently detected in at least three environments. Notably, meta-QTL analysis, showed that QTL80 (72.12–74.24 Mb, chr2A), QTL387 (32.88–33.56 Mb, chr6A), and QTL500 (535.53–540.80 Mb, chr7B) exhibit clear co-localization with MQTL-2A-2, MQTL-6A-1, and MQTL-7B-2, respectively. This overlap highlights their robustness across diverse environmental conditions. Within these regions, critical candidate genes – including members of the bZIP transcription factor family and a potassium transporter gene – were identified in relation to nutrient use efficiency. Furthermore, a novel locus, QTL234, was discovered, harboring key candidate genes such as dof zinc finger protein, Ankyrin repeat family protein, and cytochrome P450. To validate the SNP within QTL234 associated with nitrogen harvest index (NHI), we developed a dCAPS marker for AX-109095537. These findings demonstrate the effectiveness of high-resolution SNP-based GWAS in rapidly pinpointing promising candidate genes. They also establish a foundation for large-scale QTL fine mapping, candidate gene validation, and the development of functional markers essential for enhancing nutrient use efficiency in wheat breeding programs.

Open Access Research paper Issue
SNP-based linkage mapping for validation of adult plant stripe rust resistance QTL in common wheat cultivar Chakwal 86
The Crop Journal 2019, 7(2): 176-186
Published: 11 January 2019
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Wheat crops in China are constantly challenged by stripe rust. Deployment of cultivars with diverse resistances is the best strategy to control the disease. A recombinant inbred line (RIL) population derived from a cross between the resistant cultivar Chakwal 86 and susceptible landrace Mingxian 169 was studied in multiple environments to examine the underlying genetics and to identify quantitative trait loci (QTL) for stripe rust resistance. One hundred and twenty-eight RILs were genotyped with wheat 35K SNP array and a genome-wide linkage map with 1480 polymorphic SNP markers, or bins, was constructed. Two major QTL on chromosomes 1BL and 3BS, and one minor QTL on 6BS had significant effects in reducing stripe rust severity. The QTL were validated using composite interval mapping (CIM) and inclusive composite interval mapping (ICIM). These methods explained 59.0%–74.1% of the phenotype variation in disease response. The QTL on chromosome 1BL was confirmed to be Yr29/Lr46 and the one on 3BS was the resistance allele identified in CIMMYT germplasm but was not Yr30/Sr2. The QTL on 6BS probably corresponded to previously known QTL. RILs with combined QTL were more resistant than those with single or no QTL. Kompetitive allele-specific PCR (KASP) assays for the QTL with largest effect QTL on chromosome 3BS were performed on a subset of RILs and 150 unrelated wheat lines. The QTL on 3BS with its linked KASP markers can be used in marker-assisted selection to improve stripe rust resistance in breeding programs.

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