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Theoretical and Applied Genetics

, Volume 122, Issue 3, pp 643–648 | Cite as

Genetic mapping of the stem rust (Puccinia graminis f. sp. tritici Eriks. & E. Henn) resistance gene Sr13 in wheat (Triticum aestivum L.)

  • Belayneh Admassu
  • Dragan Perovic
  • Wolfgang Friedt
  • Frank Ordon
Original Paper

Abstract

Puccinia graminis f. sp. tritici, the causative agent of stem rust in wheat, is known for its high virulence variability and ability to evolve new virulence to resistance genes. Thus, pyramiding of several resistance genes in a single line is the best strategy for a sustainable control of wheat stem rust. Sr13 is one of the few resistance genes that are effective against wide ranging P. graminis f. sp. tritici races, including the pestilent race Ug99. Its effectiveness to Ug99 makes it a valuable source for resistance to stem rust. Molecular markers play a pivotal role in the genetic characterization of the new sources of resistance as well as in stacking two or more resistance genes in a single line. Therefore, the aim of this study was to develop molecular markers for Sr13 facilitating efficient pyramiding of Sr genes. Based on the 158 F2 individuals derived from a cross of Khapstein/9*LMPG × Morocco and SSR analyses, the Sr13 locus was mapped on chromosome 6A of wheat, and a genetic map comprising about 90 cM was constructed with the closest marker barc37 being located 4.0 cM distally of Sr13. Of the nine mapped markers, barc37 amplified an allele specific for the presence of Sr13 as shown by testing different cultivars and breeding lines. These newly developed markers will increase the efficiency of incorporating Sr13 into cultivars that are widely adopted, but susceptible to hazardous Ug99 and/or assist for the development of new elite lines that are resistant to Ug99.

Keywords

Wheat Cultivar Stem Rust Stem Rust Resistance Gene Wheat Stem Rust Durum Wheat Landrace 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The first author was supported by a scholarship from the Katholischer Akademischer Auslaender-Dienst (KAAD), Germany, to conduct this research. We would like to thank the Ethiopian Institute of Agricultural Research for providing leave of absence for Belayneh Admassu to carry out the research.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Belayneh Admassu
    • 1
    • 2
  • Dragan Perovic
    • 2
  • Wolfgang Friedt
    • 3
  • Frank Ordon
    • 2
  1. 1.Plant Protection Research CenterEthiopian Institute of Agricultural ResearchAmboEthiopia
  2. 2.Julius Kuehn-Institute, Federal Research Institute for Cultivated Plants (JKI)Institute for Resistance Research and Stress ToleranceQuedlinburgGermany
  3. 3.Institute of Crop Science and Plant Breeding IJustus-Liebig-University GiessenGiessenGermany

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