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Tracking disease resistance deployment in potato breeding by enrichment sequencing.
Armstrong, Miles R; Vossen, Jack; Lim, Tze Yin; Hutten, Ronald C B; Xu, Jianfei; Strachan, Shona M; Harrower, Brian; Champouret, Nicolas; Gilroy, Eleanor M; Hein, Ingo.
Affiliation
  • Armstrong MR; CMS, The James Hutton Institute, Dundee, UK.
  • Vossen J; School of Life Sciences, Division of Plant Sciences at the James Hutton Institute, University of Dundee, Dundee, UK.
  • Lim TY; Wageningen University, Wageningen, The Netherlands.
  • Hutten RCB; CMS, The James Hutton Institute, Dundee, UK.
  • Xu J; Wageningen University, Wageningen, The Netherlands.
  • Strachan SM; Chinese Academy of Agricultural Science (CAAS), Beijing, China.
  • Harrower B; CMS, The James Hutton Institute, Dundee, UK.
  • Champouret N; CMS, The James Hutton Institute, Dundee, UK.
  • Gilroy EM; Simplot Plant Sciences, Boise, Idaho, USA.
  • Hein I; CMS, The James Hutton Institute, Dundee, UK.
Plant Biotechnol J ; 17(2): 540-549, 2019 02.
Article in En | MEDLINE | ID: mdl-30107090
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 high-confidence 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Diseases / Plant Proteins / Polymorphism, Genetic / Solanum tuberosum / Phytophthora infestans / Disease Resistance Language: En Journal: Plant Biotechnol J Journal subject: BIOTECNOLOGIA / BOTANICA Year: 2019 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Diseases / Plant Proteins / Polymorphism, Genetic / Solanum tuberosum / Phytophthora infestans / Disease Resistance Language: En Journal: Plant Biotechnol J Journal subject: BIOTECNOLOGIA / BOTANICA Year: 2019 Document type: Article Affiliation country: