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Genomic signatures of selection for resistance to stripe rust in Austrian winter wheat.

Laura MoralesSebastian MichelChristian AmetzHermann Gregor DallingerFranziska LöschenbergerAnton NeumayerSimone ZimmerlHermann Buerstmayr
Published in: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik (2021)
We combined quantitative and population genetic methods to identify loci under selection for adult plant resistance to stripe rust in an Austrian winter wheat breeding population from 2008 to 2018. Resistance to stripe rust, a foliar disease caused by the fungus P. striiformis f. sp. tritici, in wheat (Triticum aestivum L.) is both qualitatively and quantitatively controlled. Resistance genes confer complete, race-specific resistance but are easily overcome by evolving pathogen populations, while quantitative resistance is controlled by many small- to medium-effect loci that provide incomplete yet more durable protection. Data on resistance loci can be applied in marker-assisted selection and genomic prediction frameworks. We employed genome-wide association to detect loci associated with stripe rust and selection testing to identify regions of the genome that underwent selection for stripe rust resistance in an Austrian winter wheat breeding program from 2008 to 2018. Genome-wide association mapping identified 150 resistance loci, 62 of which showed significant evidence of selection over time. The breeding population also demonstrated selection for resistance at the genome-wide level.
Keyphrases
  • genome wide
  • genome wide association
  • dna methylation
  • high resolution
  • genome wide association study
  • machine learning
  • young adults
  • big data
  • deep learning
  • genome wide identification