Mol. Cells 2011; 31(5): 437-445
Published online May 31, 2011
https://doi.org/10.1007/s10059-011-0289-y
© The Korean Society for Molecular and Cellular Biology
Correspondence to : *Correspondence: yccho@korea.kr (YCC); heejkoh@snu.ac.kr (HJK)
Improved eating quality is a major breeding target in japonica rice due to market demand. In this study, we performed genetic analysis to identify quantitative trait loci (QTLs) that control rice eating quality traits using 192 recombinant inbred lines (RILs) derived from a cross between two japonica cultivars, 'Suweon365' and 'Chu-cheongbyeo'. We evaluated the stickiness (ST) and overall evaluation (OE) of cooked rice using a sensory test, the glossiness of cooked rice (GCR) using a Toyo-taste meter, and measured the amylose content (AC), protein content (PC), alkali digestion value (ADV), and days to heading (DH) of the RILs in the years 2006 and 2007. Our analysis revealed 21 QTLs on chromosomes 1, 4, 6, 7, 8, and 11. QTLs on chromosomes 6, 7, and 8 were detected for three traits related to eating quality in both years. QTLs for ST and OE were identified by a sensory test in the same region of the QTLs for AC, PC, ADV, GCR and DH on chromosome 8. QTL effects on the GCR were verified using QTL-NILs (near-isogenic lines) of BC3F4-6 in the Suweon365 background, a low eating quality variety, and some BC1F3 lines. Chucheongbyeo alleles at QTLs on chromosomes 7 and 8 increased the GCR in the NILs and backcrossed lines. The QTLs identified by our analysis will be applicable to future marker-assisted selection (MAS) strategies for improving the eating quality of japonica rice.
Keywords eating quality, japonica, MAS, QTL, rice
Mol. Cells 2011; 31(5): 437-445
Published online May 31, 2011 https://doi.org/10.1007/s10059-011-0289-y
Copyright © The Korean Society for Molecular and Cellular Biology.
Soon-Wook Kwon, Young-Chan Cho*, Jeong-Heui Lee, Jung-Pil Suh, Jeong-Ju Kim, Myeong-Ki Kim, Im-Soo Choi, Hung-Goo Hwang, Hee-Jong Koh1,*, and Yeon-Gyu Kim
National Institute of Crop Science, Rural Development Administration (RDA), Suwon 441-857, Korea, 1Department of Plant Science, Seoul National University, Seoul 151-921, Korea
Correspondence to:*Correspondence: yccho@korea.kr (YCC); heejkoh@snu.ac.kr (HJK)
Improved eating quality is a major breeding target in japonica rice due to market demand. In this study, we performed genetic analysis to identify quantitative trait loci (QTLs) that control rice eating quality traits using 192 recombinant inbred lines (RILs) derived from a cross between two japonica cultivars, 'Suweon365' and 'Chu-cheongbyeo'. We evaluated the stickiness (ST) and overall evaluation (OE) of cooked rice using a sensory test, the glossiness of cooked rice (GCR) using a Toyo-taste meter, and measured the amylose content (AC), protein content (PC), alkali digestion value (ADV), and days to heading (DH) of the RILs in the years 2006 and 2007. Our analysis revealed 21 QTLs on chromosomes 1, 4, 6, 7, 8, and 11. QTLs on chromosomes 6, 7, and 8 were detected for three traits related to eating quality in both years. QTLs for ST and OE were identified by a sensory test in the same region of the QTLs for AC, PC, ADV, GCR and DH on chromosome 8. QTL effects on the GCR were verified using QTL-NILs (near-isogenic lines) of BC3F4-6 in the Suweon365 background, a low eating quality variety, and some BC1F3 lines. Chucheongbyeo alleles at QTLs on chromosomes 7 and 8 increased the GCR in the NILs and backcrossed lines. The QTLs identified by our analysis will be applicable to future marker-assisted selection (MAS) strategies for improving the eating quality of japonica rice.
Keywords: eating quality, japonica, MAS, QTL, rice
Soon-Wook Kwon, Young-Chan Cho*, Jeong-Heui Lee, Jung-Pil Suh, Jeong-Ju Kim, Myeong-Ki Kim, Im-Soo Choi, Hung-Goo Hwang, Hee-Jong Koh*, and Yeon-Gyu Kim
Jinmi Yoon, Lae-Hyeon Cho, Sichul Lee, Richa Pasriga, Win Tun, Jungil Yang, Hyeryung Yoon, Hee Joong Jeong, Jong-Seong Jeon, and Gynheung An
Mol. Cells 2019; 42(12): 858-868 https://doi.org/10.14348/molcells.2019.0141Dae-Woo Lee, Sang-Kyu Lee, Md Mizanor Rahman, Yu-Jin Kim, Dabing Zhang, and Jong-Seong Jeon
Mol. Cells 2019; 42(10): 711-720 https://doi.org/10.14348/molcells.2019.0109