ArticleBMC genomics2023
Comprehensive meta-QTL analysis for dissecting the genetic architecture of stripe rust resistance in bread wheat.
Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Integrated Meta-QTL analysis and transcriptomic profiling reveal genomic regions for fruit quality, abiotic and biotic stress resilience in cucumber (Cucumis sativus L.).BMC plant biology · 2026Pooled it
- Dissecting multi-rust resistance in wheat through genome-wide association study, haplotype analysis, and marker validation.The plant genome · 2026Article
- Molecular mapping of QTLs for stripe rust resistance in bread wheat (Triticum aestivum L.).BMC plant biology · 2026Article
- QTL rich genomic clusters in wheat: a catalogue for resistance toFrontiers in plant science · 2026Review
- Genetic diversity and genome-wide association study of yellow rust resistance in elite spring bread wheat genotypes in Ethiopia.BMC genomics · 2025Article
- Identification of Leaf Rust-Related Gene Signature in Wheat (Triticum Aestivum L.) Using High-Throughput Sequencing, Network Analysis, and Machine Learning Algorithms.Rice (New York, N.Y.) · 2025Article
- Genome-Wide Linkage Mapping of QTL for Adult-Plant Resistance to Stripe Rust in a Chinese Wheat Population Lantian 25 × Huixianhong.Plants (Basel, Switzerland) · 2025Article
- Genetic dissection of crown rust resistance in oat and the identification of key adult plant resistance genes.The plant genome · 2025Article
- Rapid reprogramming and stabilization of homoeolog expression bias in hexaploid wheat biparental populations.Genome biology · 2025Article
- Genome-wide association mapping for the identification of stripe rust resistance loci in US hard winter wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Mapping rust resistance in European winter wheat: many QTLs for yellow rust resistance, but only a few well characterized genes for stem rust resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Meta-QTL analysis and identification of candidate genes for multiple-traits associated with spot blotch resistance in bread wheat.Scientific reports · 2024Article
- Genotype-Specific Expression of Selected Candidate Genes Conferring Resistance to Leaf Rust of Rye (Genes · 2024Article
- Exploring the genetic architecture of powdery mildew resistance in wheat through QTL meta-analysis.Frontiers in plant science · 2024Article
- Mapping QTLs for adult-plant resistance to powdery mildew and stripe rust using a recombinant inbred line population derived from cross Qingxinmai × 041133.Frontiers in plant science · 2024Article
- Genetic architecture of adult-plant resistance to stripe rust in bread wheat (Frontiers in plant science · 2023Article
- Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Frontiers in genetics · 2023Article
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Authors and funding
16 authors at 10 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundYellow or stripe rust, caused by the fungus Puccinia striiformis f. sp. tritici (Pst) is an important disease of wheat that threatens wheat production. Since developing resistant cultivars offers a viable solution for disease management, it is essential to understand the genetic basis of stripe rust resistance. In recent years, meta-QTL analysis of identified QTLs has gained popularity as a way to dissect the genetic architecture underpinning quantitative traits, including disease resistance.
resultsSystematic meta-QTL analysis involving 505 QTLs from 101 linkage-based interval mapping studies was conducted for stripe rust resistance in wheat. For this purpose, publicly available high-quality genetic maps were used to create a consensus linkage map involving 138,574 markers. This map was used to project the QTLs and conduct meta-QTL analysis. A total of 67 important meta-QTLs (MQTLs) were identified which were refined to 29 high-confidence MQTLs. The confidence interval (CI) of MQTLs ranged from 0 to 11.68 cM with a mean of 1.97 cM. The mean physical CI of MQTLs was 24.01 Mb, ranging from 0.0749 to 216.23 Mb per MQTL. As many as 44 MQTLs colocalized with marker-trait associations or SNP peaks associated with stripe rust resistance in wheat. Some MQTLs also included the following major genes- Yr5, Yr7, Yr16, Yr26, Yr30, Yr43, Yr44, Yr64, YrCH52, and YrH52. Candidate gene mining in high-confidence MQTLs identified 1,562 gene models. Examining these gene models for differential expressions yielded 123 differentially expressed genes, including the 59 most promising CGs. We also studied how these genes were expressed in wheat tissues at different phases of development.
conclusionThe most promising MQTLs identified in this study may facilitate marker-assisted breeding for stripe rust resistance in wheat. Information on markers flanking the MQTLs can be utilized in genomic selection models to increase the prediction accuracy for stripe rust resistance. The candidate genes identified can also be utilized for enhancing the wheat resistance against stripe rust after in vivo confirmation/validation using one or more of the following methods: gene cloning, reverse genetic methods, and omics approaches.
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