Evaluation of QTL Related SSR Marker Universality in Korean Rice Breeding Populations

  • Song, Moon-Tae (National Crop Experiment Station, Rural Development Administration) ;
  • Lee, Jeom-Ho (National Crop Experiment Station, Rural Development Administration) ;
  • Lee, Sang-Bok (National Crop Experiment Station, Rural Development Administration) ;
  • Ku, Ja-Hwan (National Crop Experiment Station, Rural Development Administration) ;
  • Cho, Youn-Sang (National Crop Experiment Station, Rural Development Administration) ;
  • Song, Myung-Hee (National Crop Experiment Station, Rural Development Administration) ;
  • Park, Sung-Ho (National Crop Experiment Station, Rural Development Administration) ;
  • Hwang, Hung-Goo (National Crop Experiment Station, Rural Development Administration)
  • 발행 : 2003.03.01

초록

If a quantitative trait loci (QTL) marker identified in a population is applicable to different populations (marker universality), this will not only reduce the labor and cost in marker assisted selection (MAS), but accelerate the application of molecular markers to real breeding programs. Present study aims to evaluate the defined QTL related markers from a population to a different breeding population for the MAS. Four rice breeding populations were subjected to seventy-five simple sequence repeat (SSR) markers which were already identified for their polymorphism information content (PIC) in the parents of the crossings. Among them, eight markers were evaluated for their correlation between presence of marker alleles and phenotypic expression in breeding populations. A reasonable level of polymorphism for the mapped markers originated from any sources of rice accessions was observed between crosses of any sources (marker repeatability). However, correlation between presence of markers and expression of the traits in rice breeding populations was not significant except for minor portion of traits and markers examined (failure of marker universality). In the present study, various strategies were discussed to develop new markers with universality of breeding application.

키워드

참고문헌

  1. Causse, M. A., T. M. Fulton, Y. G. Cho, S. N. Ahn, J. Chubwoungse, K. Wu, J, Xiao, Z. Tu, P. C. Ronald, S. E. Harnngton, G. Second, S. R. McCouch, and S. D. Tanksley. 1994. Saturated molecular map of the lice genome based on an interspecific backcross populadon. Genetics 138 : 1251-1274
  2. Cho, Y. G., T. Ishii, S. Temnykh, X. Chen, L. Lipovich, S. R. McCouch, S. D. Park, N. Ayres, and N, Cartinhour. 2000. Diversity of microsatellites deiived from genomic libraries and GenBank sequences in rice (Oryza sativa L.). Theor. Appl. Genet. 100: 713-722 https://doi.org/10.1007/s001220051343
  3. DeVicente, M. C., S. D. Tanks1ey.1993. QTL analysis of transgressive segregation in interspecific tomato. Genetics 134 : 585-596
  4. Edward, M. D., T. Helentjahs, S. Wright, and C. W. Stubber. 1992. Molecular marker facilitated invesdgation of quantitadve trait loci in maize. Theor. Appl. Gene. 83 : 765-774
  5. Falconor, D. S., and T. F. C. Mackay. 1996. Introduction to quandtative genetics. $4^{th}$ edn. Longman Group, Essex, UK
  6. Haley, C. S., and S, A, Knott. 1992. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69 : 315-324 https://doi.org/10.1038/hdy.1992.131
  7. Jansen, E. C., and P. Stam. 1994: High resoludon of quantitative traits into multiple loci via interval mapping. Genetics 136 : 1447-1455
  8. Jeong, E. G. 2000. Molecular genetic analysis of quantitative trait loci related to cold tolerance in rice (Oryza sativa L.). Ph. D. thesis, Kangwon Nadonal University, Chuncheon, Korea. p 90
  9. Kang, H. J., Y. G. Cho, Y. T. Lee, Y. D. Kim, and M. Y. Eum. 1998. QTLs mapping of genes related with grain chemical properties based on molecular map of rice. Korean J. Crop Sci. 43(4) : 199-204
  10. Kanpps, S. J. 1994. Selection using molecular marker indexes, In: Proc $2^{th}$ Plant Breed Symp Crop Sci Soc Am Am Soc Hortic Sci. AM Soc Hort Sci, Alexandria, Va,, pp 1-11
  11. Knapps, S. J. 1998. Marker assisted selection as a strategy for increasing the probability of selecting superior genotypes, In: Abstracts Plant Anim Gen $6^{th}$ Conf. Scherago International, San Diago, Calif., p PA5
  12. Kurata, N., Y. Nagamura, K. Yamamoto, Y. Harushima, N. Sue, J. Wu, B. A. Antonio, A. Shomura, T. Shimizu, S. Y. Lin, T. Inoue, A. Fukuda, T. Shimano, Y. Kuboki, T. Toyama, Y. Miyamoto, T. Kirihara, K. Hayasaka, A. Miyao, L. Monna, H.S. Zhong, Y. Tamura, Z. X. Wang, T. Momma, M. Umehara, T. Sasaki, and Y. Minobe. 1994. A 300 kilobase interval genetic map of rice including 883 expressed sequences. Nature Genet 8 : 365-372 https://doi.org/10.1038/ng1294-365
  13. Kwon, S. J., S. N. Ahn, J. P. Seo, H. G. Hwang, H. C. Hong, Y. G. Kim, H. C. Choi, and Moon H. P. 2000. Genedc analysis of quantitative trait loci associated with agronomic characters using the recombinant inbred lines derived from cross between japonica crosses. Korean J. Breed. 32(S1): 34-35
  14. Lander, E. S., and D. Botstein. 1989. Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121 : 185-199
  15. Lander R., and D. Thompson. 1990. Effidency of marker-assisted selection in the improvement of quantitative traits. Genetics 124: 743-756
  16. McCouch, S. R., G. Kochertr, Z. H. Yu, Z. Y. Wang, G. S. Khush, W. R. Coffman, S. D. Tanksley. 1998. Molecular mapping of rice chromosomes. Theor. Appl. Genet. 76 : 815-829 https://doi.org/10.1007/BF00273666
  17. Mackill, D. J. 1995. Classifying japonica rice cultivars with RAPD markers. Crop Sci. 35 : 889-894 https://doi.org/10.2135/cropsci1995.0011183X003500030043x
  18. Mackill, D. J., and J. Ni. 2001. Molecular mapping and marker-assited selection for major-gene traits in rice. hi: Rice Genetics $4^{th}$ (Edited by Khush GS, Brar DS, Hardy B), IRRI, Los Banos, Philippines, pp 137-151
  19. Mohan, M., S. Nair, A. Bhagwat, T. G. Khshna, and M. Yano. 1997. Genome mapping, molecular markers and marker-assisted selection in crop plants. Mol. Breed. 3 : 87-103 https://doi.org/10.1023/A:1009651919792
  20. Ni, J., P. M. Colowit, J. J. Oser, K. Xu, and M. D. Mackill. 2001. Molecular markers linked to stem rot resistance in rice. Theor. Appl Genet. 102:511-516 https://doi.org/10.1007/s001220051675
  21. Panaud, O., X. Chen, and S. R. McCouch. 1996. Development of microsatelite markers and characterization of SSLP in rice. Mol Gen. Genet. 252 : 597-607
  22. Paterson, A. H., E. S. Lander, J. D. Hewia, S. Peterson, S. E. Lin-coIn, and S. D. Tanksley. 1988. Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphism. 1988. Nature 335 : 721-726 https://doi.org/10.1038/335721a0
  23. Paterson, A. H., S. Damon, J. D. Hewitt, D. Zamir, H. D. Rabini-witch, S. E. Lincoln, E. S. Lander, and S. D. Tanksley. 1991. Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments. Genetics 127 : 182-197
  24. Saito, E. D., M. Yano, N. Shimoto, M. Nakagahra. A. Yoshimura, K. Saito, S. Kuhara, Y. Ukai, M. Kawase, T. Nagamine, S. Yoshimura, O. Ideta, R. Ohsawa, Y. Hayano, N. Iwata, M. Sug-iura. 1991. Linkage map of restriction fragment length poly-morphism loci in rice. Japan J. Breed 41 : 665-670
  25. Song, M. T., J. H. Lee, Y. S. Cho, Y. H. Jeon, S. B. Lee, J. H. Ku, S. H. Choi, and H. G. Hwang. 2002. Narrow genetic background of Korean rice gennplasm revealed by DNA fingerprinting with SSR markers and their pedigree information. Korean J Genetics 24(4): 397-403
  26. Stubber, C. W., S. E. Lincoln, D. W. Wolff, T. Helentjaris, E. S. Lander. 1992. Identification of genetic factors contributing to heterosis in a hybrid from the elite maize inbred lines using molecular markers. Genetics 132 : 823-839
  27. Suh, J. P. 2002. Analysis of QTLs for agronomic characters in an an Oryza sativa x O. glaberrima BC3F2 population. Ph. D. thesis, Yeungnam University, Korea. p 87
  28. Virk, P. S., H. J. Newberry, M. T. Jackson, and B. V. Ford-Lloyd. Are mapped markers more useful for accessing genetic diver-sity. Theor. Appl. Genet. 100: 607-613 https://doi.org/10.1007/s001220050080
  29. Yang, G. R, M. A. S. Maroof, C. G. Xu, Q. Zhang, and R. M. Biya-shev. 1994. Comparadve analysis of microsatellite DNA poly-morphism in landraces and cultivars of rice. Mol. Gen. Genet. 245 : 187-194
  30. Yano, M., and T. Sasaki. 1997. Genetic and molecular dissection of quandtadve traits in lice. Plant Molecutar Biology 35 : 145-153 https://doi.org/10.1023/A:1005764209331
  31. Zhang, Q. F., M. A. S. Maroof, Y. Lu, and B. Z. Shen. 1992. Genedc diversity and differentiation of indica and japonica rice detected by RFLP analysis. Theor. Appl. Genet. 83 : 495-499