Tracking disease resistance deployment in potato breeding by enrichment sequencing

Miles Armstrong, Jack H. Vossen, Joanne Tze-Yin Lim, Ronald C. B. Hutten, Jianfei Xu, Shona M. Strachan, Brian Harrower, Nicolas Champouret, Eleanor M. Gilroy, Ingo Hein (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

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Abstract

Following the molecular characterisation of functional disease resistance genes in recent years, methods to track and verify the integrity of multiple genes in varieties are needed for crop improvement through resistance stacking. Diagnostic resistance gene enrichment sequencing (dRenSeq) enables the highconfidence identification and complete sequence validation of known functional resistance genes in crops. As demonstrated for tetraploid potato varieties, the methodology is more robust and cost-effective in monitoring resistances than whole-genome sequencing and can be used to appraise (trans)gene integrity efficiently. All currently known NB-LRRs effective against viruses, nematodes and the late blight pathogen Phytophthora infestans can be tracked with dRenSeq in potato and hitherto unknown polymorphisms have been identified. The methodology provides a means to improve the speed and efficiency of future disease resistance breeding in crops by directing parental and progeny selection towards effective combinations of resistance genes.
Original languageEnglish
Pages (from-to)540-549
Number of pages10
JournalPlant Biotechnology Journal
Volume17
Issue number2
Early online date14 Aug 2018
DOIs
Publication statusPublished - Feb 2019

Keywords

  • Disease Resistance Genes
  • dRenSeq
  • Crops
  • Breeding
  • Tracking of NLRs
  • potato
  • tracking of NLRs
  • crops
  • breeding
  • disease resistance genes
  • Plant Breeding
  • Disease Resistance/genetics
  • Polymorphism, Genetic
  • Tetraploidy
  • Plant Proteins/genetics
  • Plants, Genetically Modified
  • Plant Diseases/immunology
  • Crops, Agricultural
  • Solanum tuberosum/genetics
  • Phytophthora infestans/immunology

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