k-mer-based GWAS in a wheat collection reveals novel and diverse sources of powdery mildew resistance

Wheat genetic resources hold the diversity required to mitigate agricultural challenges from climate change and reduced inputs. Using DArTseq, we genotype 461 wheat landraces and cultivars and evaluate them for powdery mildew resistance. By developing a k -mer-based GWAS approach with fully assembled genomes of Triticum aestivum and its progenitors, we uncover 25% more resistance-associated k -mers than single-reference methods, outperforming SNP-based GWAS in both loci detection and mapping precision. In total, we detect 34 powdery mildew resistance loci, including 27 potentially novel regions. Our approach underscores the importance of integrating multiple reference genomes to unlock the potential of wheat germplasm.

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Publication Details

Journal
Universität Zürich, ZORA
Published
2025-06-18
DOI
https://doi.org/10.5167/uzh-433453
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
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article

k-mer-based GWAS in a wheat collection reveals novel and diverse sources of powdery mildew resistance

Małgorzata Jasińska, Rebecca Leber, Javier Sánchez-Martín, Victoria Widrig et al.
Universität Zürich, ZORA
Wheat and Barley Genetics and Pathology
article

k-mer-based GWAS in a wheat collection reveals novel and diverse sources of powdery mildew resistance

Małgorzata Jasińska, Rebecca Leber, Javier Sánchez-Martín, Victoria Widrig, Benjamin Jaegle, Matthias Heuberger, Kevin Gauthier, Maja Boczkowska, Max Haupt, Yipu Li, Gerhard Herren, Yoav Voichek, Paulina Bolc, Esther Jung, Beate Schierscher, Sarah Serex, Beat Keller, Nils Stein, Alexandros G. Sotiropoulos, Boulos Chalhoub
article en

Abstract

Wheat genetic resources hold the diversity required to mitigate agricultural challenges from climate change and reduced inputs. Using DArTseq, we genotype 461 wheat landraces and cultivars and evaluate them for powdery mildew resistance. By developing a k -mer-based GWAS approach with fully assembled genomes of Triticum aestivum and its progenitors, we uncover 25% more resistance-associated k -mers than single-reference methods, outperforming SNP-based GWAS in both loci detection and mapping precision. In total, we detect 34 powdery mildew resistance loci, including 27 potentially novel regions. Our approach underscores the importance of integrating multiple reference genomes to unlock the potential of wheat germplasm.

Universität Zürich, ZORA
Climate action
Openalex Percentile: Top 18%
Wheat and Barley Genetics and Pathology
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