Abstract
A quantitative trait locus (QTL) for grain weight (GW) was detected near SSR marker RM210 on chromosome 8 in backcross populations derived from a cross between the Korean japonica cultivar Hwaseongbyeo and Oryza rufipogon (IRGC 105491). The O. rufipogon allele increased GW in the Hwaseongbyeo background despite the fact that O. rufipogon was the small-seeded parent. Using sister BC3F3 near-isogenic lines (NILs), gw8.1 was validated and mapped to a 6.1 cM region in the interval between RM42 and RM210 (P≤0.0001). Substitution mapping with eight BC3F4 sub-NILs further narrowed the interval containing gw8.1 to about 306.4 kb between markers RM23201.CNR151 and RM30000.CNR99. A yield trial using homozygous BC3F4 sister sub-NILs and the Hwaseongbyeo recurrent parent indicated that the NIL carrying an O. rufipogon chromosome segment across the entire gw8.1 target region out-yielded its sister NIL (containing Hwaseongbyeo chromosome in the RM42–RM210 interval) by 9% (P=0.029). The higher-yielding NIL produced 19.3% more grain than the Hwaseongbyeo recurrent parent (P=0.018). Analysis of a BC3F4 NIL indicated that the variation for GW is associated with variation in grain shape, specifically grain length. The locus, gw8.1 is of particular interest because of its independence from undesirable height and grain quality traits. SSR markers tightly linked to the GW QTL will facilitate cloning of the gene underlying this QTL as well as marker-assisted selection for variation in GW in an applied breeding program.
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References
Brondani C, Rangel PHN, Brondani RPV, Ferreira ME (2002) QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice (Oryza sativa) using microsatellite markers. Theor Appl Genet 104:1192–1203
Chen X, Temnykh S, Xu Y, Cho YG, McCouch SR (1997) Development of a microsatellite framework map providing genome-wide coverage in rice (Oryza sativa L.). Theor Appl Genet 95:553–567
Cho YC, Suh JP, Choi IS, Hong HC, Baek MK, Kang KH, Kim YG, Ahn SN, Choi HC, Hwang HG, Moon HP (2003) QTLs analysis of yield and its related traits in wild rice relative Oryza rufipogon. Treat Crop Res Korea 4:19–29
Cui KH, Peng SB, Xing YZ, Yu SB, Xu CG, Zhang Q (2003) Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice. Theor Appl Genet 106:649–658
Doganlar S, Frary A, Tanksley SD (2000) The genetic basis of seed-weight variation: tomato as a model system. Theor Appl Genet 100:1267–1273
Elouafi I, Nachit MM (2004) A genetic linkage map of the Durum × Triticum dicoccoides backcross population based on SSRs and AFLP markers, and QTL analysis for milling traits. Theor Appl Genet 108:401–413
Eshed Y, Zamir D (1995) An introgression-line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTLs. Genetics 141:1147–1162
Huang XQ, Cöster H, Ganal MW, Röder MS (2003) Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet 106:1379–1389
International Rice Genome Sequencing Project (2005) The map-based sequence of the rice genome. Nature 436:793–800
Ishimaru K (2003) Identification of a locus increasing rice yield and physiological analysis of its function. Plant Physiol 133:1083–1090
Juliano BO (1971) A simplified assay for milled-rice amylose. Cereal Sci Today 16:334–360
Juliano BO, Villareal CP (1993) Grain quality evaluation of world rices. International Rice Research Institute, Manila, pp 205
Korff MV, Wang H, Léon J, Pillen K (2004) Development of candidate introgression lines using an exotic barley accession (Hordeum vulgare ssp. Spontaneum) as donor. Theor Appl Genet 109:1736–1745
Lee SJ, Oh CS, Suh JP, McCouch SR, Ahn SN (2005) Identification of QTLs for domestication-related and agronomic traits in an Oryza sativa × O. rufipogon BC1F7 population. Plant Breed 124:209–219
Li Z, Pinson SRM, Stansel JW, Paterson AH (1998) Genetic dissection of the source–sink relationship affecting fecundity and yield in (Oryza sativa L.). Mol Breed 4:419–426
Li C, Zhang Y, Ying K, Liang XL, Han B (2004a) Sequence variations of simple sequence repeats on chromosome-4 in two subspecies of Asian cultivated rice. Theor Appl Genet 108:392–400
Li JM, Thomson M, McCouch SR (2004b) Fine mapping of a grain-weight quantitative trait locus in the pericentromeric region of rice chromosome 3. Genetics 168:2187–2195
Li CB, Zhou AL, Sang T (2006) Genetic analysis of rice domestication syndrome with the wild annual species, Oryza nivara. New Phytol 170:185–194
Lin HX, Qian HR, Zhuang JY, Lu J, Min SK, Xiong ZM, Huang N, Zheng KL (1996) RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.). Theor Appl Genet 92:920–927
Lu CF, Shen LH, Tan ZB, Xu YB, He P, Chen Y, Zhu LH (1997) Comparative mapping of QTLs for agronomic traits of rice across environments by using a doubled-haploid population. Theor Appl Genet 94:145–150
McCouch SR, Kochert G, Yu ZH, Wang ZY, Khush GS, Coffman WR, Tanksley SD (1988) Molecular mapping of rice chromosomes. Theor Appl Genet 76:815–829
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
Moncada P, Martinez CP, Borrero J, Chatel M, Gauch H, Guimaraes E, Tohme J, McCouch SR (2001) Quantitative trait loci for yield and yield components in an Oryza sativa × Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor Appl Genet 102:41–52
Nelson JC (1997) QGENE: software for marker-based genomic analysis and breeding. Mol Breed 3:239–245
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
Paterson AH, DeVerna JW, Lanini B, Tanksley SD (1990) Fine mapping of quantitative trait loci using selected overlapping recombinant chromosomes in an interspecies cross of tomato. Genetics 124:735–742
Pillen K, Zacharias A, Léon J (2003) Advanced backcross QTL analysis in barley (Hordeum vulgare L.). Theor Appl Genet 107:340–352
Septiningsih EM, Prasetiyono J, Lubis E, Tai TH, Tjubaryat T, Moeljopawiro S, McCouch SR (2003) Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theor Appl Genet 107:1419–1432
Simmonds NW (1979) Principles of crop improvement. Longman Inc., New York, pp 16–19
Sorrells ME, Rota ML, Bermudez-Kandianis CE, Greene RA, Kantety R, Munkvold JD, Miftahudin, Mahmoud A, Ma X, Gustafson PJ, Qi LL, Echalier B, Gill BS, Matthews DE, Lazo GR, Chao S, Anderson OD, Edwards H, Linkiewicz AM, Dubcovsky J, Akhunov ED, Dvorak J, Zhang D, Nguyen HT, Peng J, Lapitan NL, Gonzalez-Hernandez JL, Anderson JA, Hossain K, Kalavacharla V, Kianian SF, Choi DW, Close TJ, Dilbirligi M, Gill KS, Steber C, Walker-Simmons MK, McGuire PE, Qualset CO (2003) Comparative DNA sequence analysis of wheat and rice genomes. Genome Res 13:1818–1827
Takeda K (1990) Heritability for grain size of rice estimated from parent–offspring correlation and selection response. Jpn J Breed 40:313–320
Takeda K (1991) Inheritance of grain size and its implications for rice breeding. In: Rice genetics II. IRRI, Manila, pp. 181–189
Takeda K, Saito K (1977) The inheritance and character expression of the minute gene derived from a rice genetic tester “Minute”. Bull Fac Agric Hirosaki Univ 271:1–29
Takeda K, Saito K (1980) Major genes controlling grain size of rice. Jpn J Breed 30:280–282
Takeda K, Saito K (1983) Heritability and genetic correlation of kernel weight and white belly frequency in rice. Jpn J Breed 33:468–480
Temnykh S, Park W, Ayres N, Cartinhour S, Hauck N, Lipovich L, Cho YG, Ishii T, McCouch SR (2000) Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theor Appl Genet 100:697–712
Temnykh S, DeClerk G, Lukashova A, Lipovich L, Cartinhour S, McCouch SR (2001) Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length, transposon associations, and genetic marker potential. Genome Res 11:1441–1452
Thomson MJ, Tai TH, McClung AM, Lai XH, Hinga ME, Lobos KB, Xu Y, Martinez CP, 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
Webb BB (1991) Rice quality and grades. In: Luh BS (ed) Rice, vol 2, Utilization, 2nd edn. An AVI Book, New York, pp. 89–119
Williams VR, Wu WT, Tsai HY, Bates HG (1958) Varietal differences in amylose content of rice starch. J Agric Food Chem 8:47–48
Wissuwa M, Wegner J, Ae N, Yano M (2002) Substitution mapping of Pup1: a major QTL increasing phosphorus uptake of rice from a phosphorus-deficient soil. Theor Appl Genet 105:890–897
Xiao J, Li J, Grandillo S, Ahn SN, Yuan L, Tanksley SD, McCouch SR (1998) Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon. Genetics 150:899–909
Yu J, Hu S, Wang J, Wong GK, Li S, Liu B, Deng Y, Dai L, Zhou Y, Zhang X, Cao M, Liu J, Sun J, Tang J, Chen Y, Huang X, Lin W, Ye C, Tong W, Cong L, Geng J, Han Y, Li L, Li W, Hu G, Huang X, Li W, Li J, Liu Z, Li L, Liu J, Qi Q, Liu J, Li L, Li T, Wang X, Lu H, Wu T, Zhu M, Ni P, Han H, Dong W, Ren X, Feng X, Cui P, Li X, Wang H, Xu X, Zhai W, Xu Z, Zhang J, He S, Zhang J, Xu J, Zhang K, Zheng X, Dong J, Zeng W, Tao L, Ye J, Tan J, Ren X, Chen X, He J, Liu D, Tian W, Tian C, Xia H, Bao Q, Li G, Gao H, Cao T, Wang J, Zhao W, Li P, Chen W, Wang X, Zhang Y, Hu J, Wang J, Liu S, Yang J, Zhang G, Xiong Y, Li Z, Mao L, Zhou C, Zhu Z, Chen R, Hao B, Zheng W, Chen S, Guo W, Li G, Liu S, Tao M, Wang J, Zhu L, Yuan L, Yang H (2002) A draft sequence of the rice genome (Oryza sativa L. ssp. indica). Science 296:79–92
Zhuang JY, Lin HX, Lu J, Qian HR, Hittalmani S, Huang N, Zheng KL (1997) Analysis of QTL × environment interaction for yield components and plant height in rice. Theor Appl Genet 95:799–808
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This study was supported by grants from the Bio Green 21 project of the Rural Development Administration and from the Crop Functional Genomics Center of the 21st Century Frontier Research Program (Project code no. CG3112) funded by the Ministry of Science and Technology, Republic of Korea.
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Xie, X., Song, MH., Jin, F. et al. Fine mapping of a grain weight quantitative trait locus on rice chromosome 8 using near-isogenic lines derived from a cross between Oryza sativa and Oryza rufipogon . Theor Appl Genet 113, 885–894 (2006). https://doi.org/10.1007/s00122-006-0348-5
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DOI: https://doi.org/10.1007/s00122-006-0348-5