ArticlePlant biotechnology journal2020
Exome association analysis sheds light onto leaf rust (Puccinia triticina) resistance genes currently used in wheat breeding (Triticum aestivum L.).
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Genome-wide association analysis identifies seven loci conferring resistance to multiple wheat foliar diseases, including brown and yellow rust resistance originating from Aegilops ventricosa.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Puccinia triticina avirulence protein AvrLr21 directly interacts with wheat resistance protein Lr21 to activate wheat immune response.Communications biology · 2024Article
- Genome-Wide Association Study of Preharvest Sprouting in Wheat.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement.Nature genetics · 2022Article
- A catalogue of resistance gene homologs and a chromosome-scale reference sequence support resistance gene mapping in winter wheat.Plant biotechnology journal · 2022Article
- Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize.International journal of molecular sciences · 2022Article
- Review
- Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.Science advances · 2021Article
- Reciprocal Recurrent Genomic Selection Is Impacted by Genotype-by-Environment Interactions.Frontiers in plant science · 2021Article
- A large-scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments.Plant biotechnology journal · 2021Article
- Exome association analysis sheds light onto leaf rust (Puccinia triticina) resistance genes currently used in wheat breeding (Triticum aestivum L.).Plant biotechnology journal · 2020Article
- Comparing the Potential of Marker-Assisted Selection and Genomic Prediction for Improving Rust Resistance in Hybrid Wheat.Frontiers in plant science · 2020Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resistance breeding is crucial for a sustainable control of leaf rust (Puccinia triticina) in wheat (Triticum aestivum L.) while directly targeting functional variants is the Holy Grail for efficient marker-assisted selection and map-based cloning. We assessed the limits and prospects of exome association analysis for severity of leaf rust in a large hybrid wheat population of 1574 single-crosses plus their 133 parents. After imputation and quality control, exome sequencing revealed 202 875 single-nucleotide polymorphisms (SNPs) covering 19.7% of the high-confidence annotated gene space. We performed intensive data mining and found significant associations for 2171 SNPs corresponding to 50 different loci. Some of these associations mapped in the proximity of the already known resistance genes Lr21, Lr34-B, Lr1 and Lr10, while other associated genomic regions, such as those on chromosomes 1A and 3D, harboured several annotated genes putatively involved in resistance. Validation with an independent population helped to narrow down the list of putative resistance genes that should be targeted by fine-mapping. We expect that the proposed strategy of intensive data mining coupled with validation will significantly influence research in plant genetics and breeding.
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