Korean Journal of Breeding Science (한국육종학회지)

The Korean Society of Breeding Science (한국육종학회)
권호 표지

Marker Assisted Development and Characterization of Beta-Carotene Rice

  • Yang, Paul (College of Agriculture & Life Sciences, Chungnam National University) ;
  • Song, Mi-Hee (College of Agriculture & Life Sciences, Chungnam National University) ;
  • Ha, Sun-Hwa (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Jae-Kwang (National Academy of Agricultural Science, Rural Development Administration) ;
  • Park, Jong-Seok (National Academy of Agricultural Science, Rural Development Administration) ;
  • Ahn, Sang-Nag (College of Agriculture & Life Sciences, Chungnam National University)
  • Received : 2011.08.11
  • Accepted : 2011.11.28
  • Published : 2011.12.30
⟨ Previous Next ⟩

Abstract

Beta-carotene producing transformants were produced in the background of 'Nagdongbyeo', a Japonica rice cultivar. Introgression of the carotenoid locus in the transformant, PAC4-2 into the elite cultivar 'Ilpumbyeo' was started. To initiate a backcrossing program, we surveyed 220 SSR markers and found that 38% of them were polymorphic between 'Ilpumbyeo' as a recurrent parent and the PAC4-2 as a recipient parent. The selection strategy comprising foreground and background selection was employed. First, foreground selection was practiced in $BC_1$, $BC_2$, and $BC_3$ generations using the transgene specific PCR-based marker in addition to visual scoring of the seed color. Marker-based background selection combined with phenotypic selection was employed from $BC_3F_2$ to $BC_3F_4$ generations. Blast search indicated that the transgene PAC4-2 was located between SSR markers, RM6 and RM482. 240 $BC_3F_3$ and 63 $BC_3F_4$ lines were evaluated for four agronomic traits including days to heading. Most of the lines were similar to Ilpumbyeo in agronomic traits evaluated. The percentage of PAC4-2 genome ranged from 4% to 21% with a mean of 12.5%, which was higher than the expected for an unselected $BC_3$ backcross population. This could be explained by the fact that two genes for beta-carotene and the stripe virus resistance were targeted in this study. We selected 10 representative $BC_3F_5$ lines from 63 $BC_3F_4$ lines based on agronomic traits and carotenoids content. The selection strategy would be appropriate for the introgression of beta-carotene gene in a breeding program.

Keywords

Acknowledgement

Supported by : Rural Development Administration

References

  1. Ashikari M, Sakakibara H, Lin S, Yamamoto T, Takashi T, Nishimura A, Angeles E, Qian Q, Kitano H, Matsuoka M. 2005. Cytokinin oxidase regulates rice grain production. Science 309:741-745. https://doi.org/10.1126/science.1113373
  2. Causse MA, Fulton TM, Cho YG, Ahn SN, Chunwongse J, Wu K, Xiao J, Yu Z, Ronald PC, Harrington SE, Second G, McCouch SR, Tanksley SD. 1994. Saturated molecular map of the rice genome based on an interspecific backcross population. Genetics 138:1251-1274.
  3. Collard BCY, Mackill DJ. 2008. Marker-assisted selection: an approach for precision plant breeding in the 21st centuty. Phil Trans Royal Soc B Rev 363:557-572. https://doi.org/10.1098/rstb.2007.2170
  4. Ha SH, Kim JB, Park JS, Lee SW, Cho KJ. 2007. A comparison of the carotenoid accumulation in Capsicum varieties that show different ripening colours: deletion of the capsanthin-capsorubin synthase gene is not a prerequisite for the formation of a yellow pepper. Journal of Experimental Botany 58:3135-3144. https://doi.org/10.1093/jxb/erm132
  5. Ha SH, Liang YS, Jung H, Ahn MJ, Suh SC, Kweon SJ, Kim DH and Kim JK. 2010. Application of two bicistronic systems involving 2A and IRES sequences to the biosynthesis of carotenoids in rice endosperm. Plant Biotechnology Journal 8:928-938. https://doi.org/10.1111/j.1467-7652.2010.00543.x
  6. Hospital F, Charosset A. 1997. Marker-assisted introgression of quantitative trait loci. Genetics 147:1469-1485
  7. Kwon SJ, Cho YC, Kwon SW, Oh CS, Suh JP, Shin YS, Kim YG, Holligan D, Wessler SR, Hwang HG, Ahn SN. 2008. QTL mapping of agronomic traits using an RIL population derived from a cross between temperate japonica cultivars in rice (Oryza sativa L.). Breeding Sci 58:271-279. https://doi.org/10.1270/jsbbs.58.271
  8. McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L. 2002. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L). DNA Res 9:199-207 https://doi.org/10.1093/dnares/9.6.199
  9. Paine JA, Shipton CA, Chaggar S, Howells RM, Kennedy MJ, Vernon G, Wright SY, Hinchliffe E, Adams JL, Silverstone AL, Drake R. 2005. Improving the nutritional value of golden rice through increased pro-vitamin A content. Nat Biotechnol 23:482-487. https://doi.org/10.1038/nbt1082
  10. Panaud O, Chen X, McCouch SR. 1996. Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Mol Gen Genet 252:597-607.
  11. Saito YH, T. Tsuji K. Fujii K. Saito M. Saito IA. 1998. Localization of the rice stripe disease resistance gene, Stv-bi, by graphical genotyping and linkage analyses with molecular markers. Theor Appl Genet 96:1044-1049. https://doi.org/10.1007/s001220050837
  12. Saito YH, Saito K, Fujii K, Touyam T. suji T, Sugiura N, Izawa T, Iwasaki M. 2000. SCAR marker selection of the rice stripe resistance gene Stvb-i. Breeding Research 2:67-20. https://doi.org/10.1270/jsbbr.2.67
  13. Septiningsih EM, Pamplona AM, Sanchez DL, Neeraja CN, Vergara GV, Heuer S, Ismail AM, Mackill DJ. 2009. Development of Submergence Tolerant Rice Cultivars: The Sub1 Locus and Beyond. Annals Bot 103:151-160.
  14. Song XJ, Huang W, Shi M, Zhu MZ, Lin HX. 2007. A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nat Genet 39:623-630. https://doi.org/10.1038/ng2014
  15. Suh JP, Ahn SN, Cho YC, Kang KH, Choi IS, Kim YG, Suh HS, Hwang HG. 2005. Mapping for QTLs for yield traits using an advanced backcross population from a cross between Oryza sativa and O. glaberrima. Korean J Breed 37:214-220.
  16. Virk P, Barry G, Das A, Lee JH, Tan J. 2006. Research status of micronutrient rice development in Asia. Proceedings of International Symposium on Rice Biofortification- Improving Human Health through Biofortified Rice. National Institute of Crop Science, RDA, Korea. pp.125- 132.
  17. Wada T, Ogata T, Tsubone M, Uchimura Y, and Matsue Y. 2008. Mapping of QTLs for eating quality and physicochemical properties of the japonica rice 'Koshihikari'. Breeding Science 58:427-435. https://doi.org/10.1270/jsbbs.58.427
  18. Wang GL, Mackill DJ, Bonman JM, McCouch SR, Champoux MC, Nelson RJ. 1994. RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar. Genetics 136:1421- 1434.
  19. Wu X, Zuo S, Chen Z, Zhang Y, Zhu J, Ma N, Tang J, Chu C, Pan X. 2011. Fine mapping of qSTV11TQ, a major gene conferring resistance to rice stripe disease. Theor Appl Genet 122:915-923. https://doi.org/10.1007/s00122-010-1498-z
  20. Xiao J, Li J, Yuan L, Tanksley SD. 1996. Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross. Theor Appl Genet 92:230-244. https://doi.org/10.1007/BF00223380
  21. Yano M, Katayose Y, Ashikari M, Yamanouchi U, Monna L, Fuse T, Baba T, Yamamoto K, Umehara Y, Nagamura Y, Sasaki T. 2000. Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS. Plant Cell 12:2473-2483.