Browse > Article

Mapping QTL for Grain Quality Traits Using an Introgression Line Population from a Cross between Ilpumbyeo and Moroberekan in Rice  

Ju, Hong-Guang (College of Agriculture & Life Sciences, Chungnam National University)
Kim, Dong-Min (College of Agriculture & Life Sciences, Chungnam National University)
Oh, Chang-Sik (College of Agriculture & Life Sciences, Chungnam National University)
Kim, Myung-Ki (Rice Research Division, National Institute of Crop Science)
Kim, Kee-Jong (Rice Research Division, National Institute of Crop Science)
Ahn, Sang-Nag (College of Agriculture & Life Sciences, Chungnam National University)
Publication Information
Korean Journal of Breeding Science / v.41, no.4, 2009 , pp. 429-436 More about this Journal
Abstract
We conducted a QTL analysis of grain quality traits using 117 $BC_3F_4$ and $BC_3F_5$ lines developed from a cross between Ilpumbyeo and Moroberekan. Genotypes of 117 $BC_3F_5$ lines were determined using 134 simple sequence repeat (SSR) markers. A linkage map constructed using 134 SSR markers was employed to characterize quantitative trait loci (QTL). The 117 $BC_3F_4$ and $BC_3F_5$ lines were evaluated for eleven grain quality traits in 2005 and 2006. A total of 18 QTLs were identified for eleven traits, and the phenotypic variance explained by each QTL ranged from 9.9% to 35.2%. Moroberekan alleles contributed positive effects in the Ilpumbyeo background at two QTL loci for 1,000 grain weight. Four QTLs, two for chalky rice and one each for 1,000 grain weight and head rice were consistently detected in two consecutive years indicating that these QTLs are stable. Clusters of QTLs were observed in three chromosome regions. One cluster harboring five QTLs including head rice and brown rice ratio near SSR markers RM190 and RM314 was detected on chromosome 6. Another cluster harboring grain weight and white belly was detected on chromosome 2. Increase in white belly at this locus might be due to the increase in grain weight due to the presence of the Moroberekan allele. The Moroberekan alleles at two QTL loci, gw3 and gw4 associated with increased grain weight might be useful in breeding programs to develop high-yielding cultivars.
Keywords
Introgression lines; QTL; MAS; grain quality; rice;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Juliano BO. 1982. Properties of rice starch related to varietal differences in processing quality of rice grain. J. Jap. Soc. Starch Sci. 29:305-317   DOI
2 Li ZF, Wan JM, Xia JF, Zhai HQ, and Ikehashi H. 2004. Identification of quantitative trait loci underlying milling qualty of rice grains. Plant breeding 123:229-234   DOI   ScienceOn
3 Panaud O, Chen X, and McCouch SR. 1996. Development of microsatellite markers and characterization of simple sequence length polymorphism in rice (Oryza sativa). Mol. Gen. Genet. 252:597-607   DOI
4 Temnykh S, De CLerck G, Lukashova A, Lipovitch L, Cartinhour S and McCouch SR. 2001. Computational and experimental analysis of microsatellite in rice (Oryza sativa L.): frequency length cariation, transposon associations, and genetic marker potential. Genome Res. 11:1441-1452   DOI   ScienceOn
5 Thomson MJ, Tai TH, Mcclung AM, Lai XH, Hinga ME, Lobos KB, Xu Y, Martinez CP, and McCouch SR. 2003. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theor. Appl. Genet. 107:479-493   DOI   ScienceOn
6 Yano M, and Sasaki T. 1997. Genetic and molecular dissection of quantitative trait in rice. Plant Mol. Biol. 4:130-135.30   DOI   ScienceOn
7 Zheng TQ, Xu JL, Li ZK, Zhai HQ, and Wan JM. 2007. Genomic regions associated with millingquality and grain shape identified in set of random introgression lines of rice. Plant breeding 126:158-163   DOI   ScienceOn
8 Septimingsih EM, Prasetiyono J, Lubis E, Tai TH, Tjubaryat T, Moeljopawiro S and McCouch SR. 2003. Identification of quantitative trait loci for yield and yield components in an advaced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theor. Appl. Genet. 107:1419-1432   DOI   ScienceOn
9 Tian R, Jiang GH, Shen LH, Wang LQ, and He YQ 2005a. Mapping quantitativa trait loci underlying the cooking and eating quality of rice using a DH population. Mol. Breeding 15:117-124   DOI   ScienceOn
10 Kim DM, Ju HG, Kwon TR, Oh CS, and Ahn SN. 2009. Mapping quantitative trait loci related to salt tolerance in an introgression line population between japonica cultivars in rice. Submitted to Journal of Crop Sci. & Biotec   DOI   ScienceOn
11 Juliano BO. 1971. A simplified assay for milled rice amylose. Cereal Science Today 16:334-340
12 Ju HG, Yoon DB, Xie XB, Ahn SN, Jeong OY, Jeong EG, and Choi KJ. 2004. Evaluation of agronomic traits of an Ilpumbyeo ${\times}$ Moroberekan $BC_3F_2$ population. Korean J. Breed. 36(5):338-344
13 Cho SY, Park RK, and Heu MH .1988. Breeding Strategies for the 21st Century. Proceedings of the Annual Symposium of the Korean Breeding Society. pp. 3-8
14 Gur A and Zamir D. 2004. Unused natural variation can lift yield barriers in plant breeding. PLoS Biology 2(10):1610-1615   DOI   ScienceOn
15 Yano M, Kojima S, Takahashi Y, Lin H and Sasaki T. 2001. Genetic control of flowering time in rice, a short-day plant. Plant Physiology 117:1425-1429
16 Association of Official Analytical Chemists. 1995. AOAC. Method 990.03. In: Official Methods of Analysis. 16th ed. AOAC., Washington D.C., USA
17 Moncada P, Martines CP, Borrero J, Chatel H, Tohme J and McCouch SR. 2001. Quantitative trait loci yield and yield components in an Oryza sativa X Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor. Appl. Genet. 102:41-52   DOI   ScienceOn
18 Xiao JH, Li JM, Grandillo S, Ahn SN, Yuan RP, Tanksley SD, and McCouch SR. 1998. Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon. Genetics .150:899-909   PUBMED
19 Aluko G, Martinez C, Tohme J, Castano C, Bergman C, and Oard JH. 2004. QTL mapping of grain quality traits from the interspecific cross Oryza sativa x O. glaberrima. Theor. Appl. Genet. 109:630-639   DOI
20 Ge XJ, Xing YZ, Xu CG and He YQ (2005) QTL analysis of cooked rice grain elongation volume expansion, and water absorption using a recombinant inbred population. Plant Breeding 124:121-126   DOI   ScienceOn
21 Tian F, Li DJ, Fu Q, Zhu Z, Fu YC, Wang XK, and Sun CQ. 2005b. Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits. Theor. Appl. Genet. 112:570-580   DOI   ScienceOn
22 Amarawathi YL, Singh R, Singh AK et al. 2008. Mapping of quantitative trait loci for basmati quality traits in rice. Mol. Breeding 21:49-65   DOI   ScienceOn
23 Tanksley SD. 1993. Mapping polygenes. Ann. Rev. Genet. 27:205-233   DOI   PUBMED   ScienceOn
24 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 Sci. 58:427-435   DOI   ScienceOn
25 Ju HG, Kim DM, Kang JW, Kim MK, Kim YG and Ahn SN. 2008. Mapping QTLs for agronomic traits using an introgression line population from a cross between Ilpumbyeo and Moroberekan in rice. Korean J. Breeding Sci. 40:414-421
26 McCouch SR, Teyetlman 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, Scheider D, Cartinhour S, Ware D and Stein L. 2002. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res. 9:199-207   DOI   ScienceOn
27 Nelson JC. 1997. Qgene manual. Electronic address: greengenes. Cit. cornell. Edu port 70; directory “Software for genetics /qGene.”
28 Causse MA, Fulton TM, Cho YG, Ahn SN, Chunwongse J, Wu KS, Xiao JH, Yu ZH, Ronald PC, Harrington SE, Secind G, McCouch SR and Tanksley SD 1994. Saturated molecular map of the rice genome based on an interspecific backcross population. Genetics 138:1251-1274   PUBMED