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United States Department of Agriculture

Agricultural Research Service

Title: Development of Rice Blast Pi-Ta Resistance Gene Markers for Marker-Assisted Selection Breeding

Authors
item Jia, Yulin
item Wang, Zhonghua - ZHEJIANG UNIV, PRC
item Redus, Marc
item Singh, Pratibha - UA RREC
item Correll, James - UA PLANT PATH
item Lee, Fleet - UA RREC
item Valent, Barbara - KSU, PLANT PATH
item Xia, Yingwu - ZHEJIANG UNIV, PRC
item Rutger, J

Submitted to: International Plant Protection Congress
Publication Type: Abstract Only
Publication Acceptance Date: May 11, 2003
Publication Date: May 11, 2003
Citation: Jia, Y., Wang, Z., Redus, M.A., Singh, P., Correll, J., Lee, F.N., Valent, B., Xia, Y., Rutger, J.N. 2003. Development of rice blast pi-ta resistance gene markers for marker-assisted selection breeding [abstract]. 15th International Plant Protection Congress Proceedings. p. 262.

Technical Abstract: Molecular characterization of approximately 48 plant resistance (R) genes has advanced the ability to engineer the effective resistance against pathogens. Knowledge of DNA sequences of susceptible haplotypes of R genes not only enhances the understanding of R gene evolution but also can be used to identify nucleotides that distinguish the resistant counterpart. These unique DNA sequences can be used to develop R gene specific primers to amplify portions of R gene as marker for a particular R gene for marker-assisted selection (MAS). Rice blast is one of the most destructive rice diseases worldwide. The rice blast Pi-ta resistance gene is one of those R genes characterized at the molecular level. One resistant Pi-ta and three susceptible pi-ta haplotypes were identified from rice germplasm. An alignment of DNA sequences of these Pi-ta haplotypes identified several nucleotide substitutions and these nucleotide differences were used to develop PCR based markers for stacking the Pi-ta gene into advanced rice breeding lines by MAS. Progress on development of codominant Pi-ta gene markers suitable for use in high-throughput semi-automated genotyping machines will be presented.

Last Modified: 11/28/2014
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