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<p>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 <i>k</i>-mer-based GWAS approach with fully assembled genomes of <i>Triticum aestivum</i> and its progenitors, we uncover 25% more resistance-associated <i>k</i>-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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月18日

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

摘要

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.