Identification of QTL for Rice Grain Size and Shape Based on Indica/Japonica RILs using SSR Markers
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
An indica rice cultivar, Milyang23 is a semidwarf plant type with long and slender grains, whereas a temperate japonica rice cultivar, Stejaree45 is a japonica cultivar with short and bold grains. Genetic analysis was carried out to determine the number of quantitative trait loci (QTL), chromosome location, gene action, and effects of QTLs controlling grain length, width, thickness, and shape. The grain traits averages in the recombinant inbred lines (RILs) were near the mid-parent value, but the standard deviations in the RILs were more than those of the parents. A linkage map based on 138 simple sequence repeat (SSR) markers from 12 linkage groups was constructed using the 143 RILs as the base population. The map, spanning 1208 cM of the rice genome with an average interval length of 12.9 cM, was used for QTL analysis. A total of 13 QTLs for grain quality traits were identified. The phenotypic variation accounted for by each QTL ranged from 4.2% to 10.4%, with an average of 6.7%. Among the 13 QTLs, only one QTL accounted for more than 10% of the total phenotypic variation. Each of the traits studied was governed by one or two major QTLs that accounted for the large proportion of the total phenotypic variation. Several minor QTLs explain a small proportion of the total phenotypic variance
Abstract
An indica rice cultivar, Milyang23 is a semidwarf plant type with long and slender grains, whereas a temperate japonica rice cultivar, Stejaree45 is a japonica cultivar with short and bold grains. Genetic analysis was carried out to determine the number of quantitative trait loci (QTL), chromosome location, gene action, and effects of QTLs controlling grain length, width, thickness, and shape. The grain traits averages in the recombinant inbred lines (RILs) were near the mid-parent value, but the standard deviations in the RILs were more than those of the parents. A linkage map based on 138 simple sequence repeat (SSR) markers from 12 linkage groups was constructed using the 143 RILs as the base population. The map, spanning 1208 cM of the rice genome with an average interval length of 12.9 cM, was used for QTL analysis. A total of 13 QTLs for grain quality traits were identified. The phenotypic variation accounted for by each QTL ranged from 4.2% to 10.4%, with an average of 6.7%. Among the 13 QTLs, only one QTL accounted for more than 10% of the total phenotypic variation. Each of the traits studied was governed by one or two major QTLs that accounted for the large proportion of the total phenotypic variation. Several minor QTLs explain a small proportion of the total phenotypic variance
참고문헌 (25)
- Akagi H, "Microsatellite DNA markers for rice chromosomes", 93, pp.1071~1077 (1996)
- Basten CJ, "QTL Cartographer: a reference manual and tutorial for QTL mapping" (1997), Department of Statistics, North Carolina State University, Raleigh
- Brondan, C, "QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice (Oryza sativa) using microsatellite markers", 104, pp.1192~1203 (2002)
- Causse MA, "Saturated molecular map of the rice genome based on an interspecific backcross population", pp.1251~138 1274
- Chen X, "Development of a microsatellite framework map providing genome-wide coverage in rice (Oryza sativa L.)", 95, pp.553~567 (1997)
- Dong Y, "Quantitative trait loci controlling steamed-rice shape in a recombinant inbred population", 27(1), pp.19~20 (2007)
- Hittalmani S, "Molecular mapping of quantitative trait loci for plant growth, yield and yield-related traits across three diverse locations in a doubled haploid rice population", 125, pp.207~214 (2002)
- Juliano BO 1985, "American Association of Cereal Chemists", Inc
- Kang HJ, "Detection of putative QTL conferring grain size and shape in rice", 31(4), pp.330~335 (1999)
- Lin HX, "RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.)", 92, pp.920~927 (1996)
- McCouch SR, "QTL mapping in rice", 11, pp.482~487 (1995)
- McCouch SR, "Report on QTL nomenclature", 14, pp.11~13 (1997)
- McCouch SR, "Development of 2243 new SSR markers for rice by the International Rice Microsatellite Initiative" (2002), China
- Nelson JC, "QGENE, software for marker-based genomic analysis and breeding", 3, pp.239~245 (1997)
- Panaud O, "Development of microsatellite markers and characterization of sample sequence length polymorphism (SSLP) in rice (Oryza sativa L.)", 252, pp.597~607 (1996)
- Paterson AH, "Mendelian factors underlying quantitative traits in tomato comparison across species", rabi(witch hd), pp.~127, Lincoln SE
- Rabiei B, "Identification of QTLs for rice grain size and shape of Iranian cultivars using SSR markers", 137, pp.325~332 (2004)
- Redona ED, "Quantitative trait locus analysis for rice panicle and grain characteristics", 96, pp.957~963 (1998)
- Tan YF, "Genetic bases of appearance quality of rice grains in Shanyou 63, an elite rice hybrid", 101, pp.823~829 (2000)
- Temnykh S, "Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.)", 100, pp.697~712 (2000)
- Tsunematsu H, "Quantitative trait locus analysis using recombinant inbred lines and restriction fragment length polymorphism markers in rice", pp.16~20 (1996), IRRI, Manila, Philippines
- Wu P, "Identification of QTLs controlling quantitative characters in rice using RFLP markers", 89, pp.349~354 (1996)
- Xiao J, "Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross", 92, pp.230~244 (1996)
- Yoon DB, "Confirmation and identification of additional QTLs for grain traits using an advanced backcross line from a cross between Oryza sativa and O", 37(2), pp.101~108 (2005)
- Yu SB, "Identification of quantitative trait loci and epistatic interactions for plant height and heading date in rice", 104, pp.619~625 (2002)