IMPROVEMENT OF HIGH AMYLOSE CONTENT IN CH1 RICE VARIETY BY MARKER ASSISTED PSEUDO-BACKCROSS BREEDING

Year 2024, , 73 - 81, 21.06.2024

Tanee Sreewongchaı Thanakorn Wangsawang , Sumana Wangsawang Weerachai Matthayatthaworn Orawan Kumdee Khin Sandar Cho

https://doi.org/10.17557/tjfc.1431739

Abstract

The objective of this research was to introgression of high amylose content into CH1 rice variety by using pseudo-backcrossing breeding. Crossing between CH1 and RD49 was performed to produce F1 progenies. After that, the progenies will backcross to CH1 to develop BC1F1 population. Then, the selected plants from the BC1F1 population were continuously selfed to develop BC1F2 and BC1F3 populations, respectively. For marker assisted selection, the OSR19 DNA marker that is specific to Wx gene was used for assisting the selection of plants with high amylose content in foreground selection to choose favorite genotype. Total 67 SSR markers used genetic background selection was done twice in BC1F1 and BC1F2 populations. The results showed that selection could be achieved for BC1F1 and BC1F2 plants having high amylose content and first highest ranking of genetic background similar to recurrent parent exhibited 91.04 and 97.76 percent, respectively. The marker assisted selection could accelerate 4 generations in backcross breeding program. The BC1F3 seeds of 6 selected lines were planted in paddy field for preliminary yield test. It was found that agronomic characters and yield of the selected lines were not statistically different from those of CH1 variety and high amylose content as donor parent.

Keywords

CH1, High Amylose Content, Pseudo-Backcross Breeding, RD49, Wx gene

Thanks

The first authors would like to deliver sincere thanks to Hybrid Rice breeding for high yield and quality for industrial processing project for financial support.

References

• Akagi, H., Y. Yokozeki, A. Inagaki and T. Fujimura. 1996. Microsatellite DNA markers for rice chromosomes. Theor Appl Genet. 93: 1071-1077.
• Bao, J., L. Jin, P. Xiao, S. Shen, M. Sun and H. Corke. 2008. Starch physicochemical properties and their associations with microsatellite alleles of starchsynthesizing genes in a rice RIL population. J Agric Food Chem. 56(5): 1589-1594.
• Benbouza, H., J.M. Jacquemin, J.P. Baudoin and G. Mergeai. 2006. Optimization of a reliable, fast, cheap and sensitive silver staining method to detect SSR markers in polyacrylamide gels. Biotechnol Agron Soc Environ. 10(2): 77-81.
• Bligh, H., R. Till and C. Jones. 1995. A microsatellite sequence closely linked to the Waxy gene of Oryza sativa. Euphytica. 86: 83-85.
• Bouquet, A. 1986. Introduction dansl’espece Vitis vinifera L. d’un caractere de resistance al’oidium (UncinulanecatorSchw. Burr) issul’espece Muscadinia rotundifolia (Michx) Small. Vignevini. 12(suppl): 141-146.
• Calingacion, M., A. Laborte, A. Nelson, A. Resurreccion, J.C. Concepcion, V.D. Daygon, R. Mumm, R. Reinke, S. Dipti and P.Z. Bassinello. 2014. Diversity of global rice markets and the science required for consumer-targeted rice breeding. PloS one. 9(1): e85106.
• Chen, Y. 2019. Understanding and assessing cultural differences in sensory preferences. Cereal Foods World. 64(1).
• Cho, K.S., P. Kongsil, T. Wangsawang and T. Sreewongchai. 2020. Marker-assisted pseudo-backcross breeding for improvement of amylose content and aroma in Myanmar rice cultivar Sinthukha. Sci Asia. 46(5): 539-547.
• Collard, B.C., M. Jahufer, J. Brouwer and E.C.K. Pang. 2005. An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: the basic concepts. Euphytica. 142: 169-196.
• Cruz, N.D. and G. Khush. 2000. Rice grain quality evaluation procedures. Aromatic rices. 3: 15-28.
• Fan, C., X. Yu, Y. Xing, C. Xu, L. Luo and Q. Zhang. 2005. The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population. Theor Appl Genet. 110: 1445-1452.
• Hasan, M.M., M.Y. Rafii, M.R. Ismail, M. Mahmood, H.A. Rahim, M.A. Alam, S. Ashkani, M.A. Malek and M.A. Latif. 2015. Marker-assisted backcrossing: a useful method for rice improvement. Biotechnol Biotechnol Equip. 29(2): 237-254.
• Juliano, B.O. 1971. A simplified assay for milled-rice amylose. Cereal Sci Today. 12: 334-360.
• Lanceras, J.C., Z.-L. Huang, O. Naivikul, A. Vanavichit, V. Ruanjaichon and S. Tragoonrung. 2000. Mapping of genes for cooking and eating qualities in Thai jasmine rice (KDML105). DNA Res. 7(2): 93-101.
• McCouch, S.R., L. Teytelman, Y. Xu, K.B. Lobos, K. Clare, M. Walton, B. Fu, R. Maghirang, Z. Li and Y. Xing. 2002. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res. 9(6): 199- 207.
• Murray, M. and W. Thompson. 1980. Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res. 8(19): 4321-4326.
• Rattanapol, P., P. Sripichitt and T. Sreewongchai (2011). Development of functional DNA marker specific to aromatic gene in rice. Proceeding of 49th Kasetsart University Annual Conference, Kasetsart University, Bangkok, Thailand.
• Ruengphayak, S., E. Chaichumpoo, S. Phromphan, W. Kamolsukyunyong, W. Sukhaket, E. Phuvanartnarubal, S. Korinsak, S. Korinsak and A. Vanavichit. 2015. Pseudobackcrossing design for rapidly pyramiding multiple traits into a preferential rice variety. Rice. 8(1): 1-16.
• Saosaovaphak, A., C. Chaiboonsri and S. Wannapan. 2022. Causal statistics of structural dependence space-based trend simulations for the coalition of rice exporters: the cases of India, Thailand, and Vietnam. Int J Comput Econ Econ. 12(1-2): 4-28.
• Sreewongchai, T., P. Rattanapol and V. Vichukit. 2014. Alternate phenotype-genotype selection method for developing photoperiod insensitive, good cooking quality and potential high yielding rice lines. Agric Nat Resour. 48(6): 851-859.
• Suh, J.P., J.U. Jeung, T.H. Noh, Y.C. Cho, S.H. Park, H.S. Park, M.S. Shin, C.K. Kim and K.K. Jena. 2013. Development of breeding lines with three pyramided resistance genes that confer broad-spectrum bacterial blight resistance and their molecular analysis in rice. Rice. 6: 1- 11.
• Sun, X. and R.H. Mumm. 2015. Optimized breeding strategies for multiple trait integration: III. Parameters for success in version testing. Mol Breed. 35: 1-9.
• Tan, Y.F., Y.Z. Xing, J.X. Li, S.B. Yu, C.G. Xu and Q. Zhang. 2000. Genetic bases of appearance quality of rice grains in Shanyou 63, an elite rice hybrid. Theor Appl Genet. 101: 823-829.
• Wangsawang, T., T. Sreewongchai, P. Sripichitt and F. Worede. 2018. Developing blast disease resistance of jasmine rice by phenotypic-genotypic simultaneous selection. Agrivita J agricultural sci. 40(2): 320-327.
• Wangsawang, T., A. Waiyalert, C. Nonsiri, P. Sripichitt, P. Songkumarn, R. Changsri, K. Cho and T. Sreewongchai (2019). Assistance of phenotype-genotype selections for developing blast disease resistance of Thai jasmine rice, RD15. IOP Conference Series: Earth and Environmental Science, IOP Publishing.
• Yanjie, X., Y. Yining, O. Shuhong, D. Xiaoliang, S. Hui, J. Shukun, S. Shichen and B. Jinsong. 2018. Factors affecting sensory quality of cooked japonica rice. Rice Sci. 25(6): 330-339.
• Zhong, L., F. Cheng, X. Wen, Z. Sun and G. Zhang. 2005. The deterioration of eating and cooking quality caused by high temperature during grain filling in early‐season indica rice cultivars. J Agron Crop Sci. 191(3): 218-225.
• Zhou, P., Y. Tan, Y. He, C. Xu and Q. Zhang. 2003. Simultaneous improvement for four quality traits of Zhenshan 97, an elite parent of hybrid rice, by molecular marker-assisted selection. Theor Appl Genet. 106: 326- 331.