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Theoretical and Applied Genetics

, Volume 109, Issue 5, pp 978–985 | Cite as

Use of Pi5(t) markers in marker-assisted selection to screen for cultivars with resistance to Magnaporthe grisea

  • G. Yi
  • S.-K. Lee
  • Y.-K. Hong
  • Y.-C. Cho
  • M.-H. Nam
  • S.-C. Kim
  • S.-S. Han
  • G.-L. Wang
  • T.-R. Hahn
  • P.C. Ronald
  • J.-S. Jeon
Original Paper

Abstract

Identification of the PCR markers tightly linked to genes that encode important agronomic traits is useful for marker-assisted selection (MAS). The rice Pi5(t) locus confers broad-spectrum resistance to Magnaporthe grisea, the causal agent of rice blast disease. It has been hypothesized that the Pi5(t) locus carries the same gene as that encoded by the Pi3(t) and Pii(t) loci. We developed three PCR-based dominant markers (JJ80-T3, JJ81-T3, and JJ113-T3) from three previously identified BIBAC clones—JJ80, JJ81, and JJ113—that are linked to the Pi5(t) locus. PCR analysis of 24 monogenic lines revealed that these markers are present only in lines that carry Pi5(t), Pi3(t), and Pii(t). PCR and DNA gel-blot analysis of candidate resistance lines using JJ80-T3, JJ81-T3, and JJ113-T3 indicated that Tetep is the likely donor of Pi5(t). Of the 184 rice varieties tested, 34 carried the JJ80-T3-, JJ81-T3-, and JJ113-T3-specific bands. Disease evaluation of those 34 varieties revealed that all conferred resistance to PO6-6. The genomic structure of three of these resistant varieties (i.e., IR72, Taebaeg, Jahyangdo) is most similar to that of Pi5(t). Our results demonstrate the usefulness of the JJ80-T3, JJ81-T3, and JJ113-T3 markers for MAS for M. grisea resistance.

Keywords

Rice Variety Rice Blast Cleave Amplify Polymorphic Sequence Blast Resistance Cleave Amplify Polymorphic Sequence Marker 
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

Acknowledgements

We thank Dave Mackill, Sang-Nak Ahn, Sang-Won Ahn, Kenong Xu, Tsuyoshi Inukai, Dahu Chen, Kangle Zheng, and Matt Campbell for helpful discussions, and Harold Bockelman for providing C104PKT, LAC23, PKT, and Tetep. We also thank Priscilla Licht for critical reading of the manuscript. This work was supported, in part, by grants from the Biogreen 21 Program, Rural Development Administration; from SRC for the Plant Metabolism Research Center (PMRC), Korea Science and Engineering Foundation (KOSEF) Program; from the BK21 program, Ministry of Education; and from the United States Department of Agriculture.

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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • G. Yi
    • 1
  • S.-K. Lee
    • 2
  • Y.-K. Hong
    • 1
  • Y.-C. Cho
    • 3
  • M.-H. Nam
    • 1
  • S.-C. Kim
    • 1
  • S.-S. Han
    • 3
  • G.-L. Wang
    • 4
  • T.-R. Hahn
    • 2
  • P.C. Ronald
    • 5
  • J.-S. Jeon
    • 2
  1. 1.National Yeongnam Agricultural Experiment StationRural Development AdministrationMilyangKorea
  2. 2.Graduate School of Biotechnology and Plant Metabolism Research CenterKyung Hee UniversityYonginKorea
  3. 3.National Crop Experiment StationRural Development AdministrationSuwon441-857Korea
  4. 4.Department of Plant PathologyThe Ohio State UniversityColumbusUSA
  5. 5.Department of Plant PathologyUniversity of CaliforniaDavisUSA

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