|
|
|
Comparison and Analysis of QTLs, Epistatic Effects and QTL×Environment Interactions for Yield Traits Using DH and RILs Populations in Rice |
ZHAO Xin-hua, QIN Yang, JIA Bao-yan, Suk-Man Kim, Hyun-Suk Lee, Moo-Young Eun, Kyung-Min |
1.Department of Agronomy, Shenyang Agricultural University, Shenyang 110866, P.R.China
2.School of Applied Biosciences, College of Agriculture & Life Science, Kyungpook National University, Daegu 702-701, Republic of Korea
3.Bio Safety Division, Department of Agricultural Biotechnology, National Academy of Agricultural Sciences, Rural Development
Administration, Suwon 441-707, Republic of Korea
4.C/O IRRI-Korea office, National Institute of Crop Science, Rural Development Administration, Suwon 441-857, Republic of Korea |
|
|
摘要 Two genetic linkage maps, constructed by DH and RILs populations derived from the same parents, were carried out for the identification and comparison of QTLs controlling yield traits across different years in rice (Oryza sativa L.). A total of 194 SSR and STS markers were used in two maps, of which 114 markers were same. The distribution of Samgang allele was higher in RILs population than it in DH population. Comparing with DH population, RILs population has more lines with higher yield and wider phenotypic transgressive segression for yield traits. Although most of QTLs for the same trait were different in two populations across different years, 8 QTLs (including gwp11.1, spp5.1, spp10.1, spp11.2, ssr1.1, ssr11.1, tgw9.1 and tgw11.1) were detected over 2 yr. It is important to note that ppp10.1, spp10.1 and tgw9.1 were identified in two populations, while spp10.1 and tgw9.1 were simultaneity observed across different years. Epistatic effects were more important than additive effects for PPP, SPP, yield in DH population and TGW, yield in RILs population. Epistatic effects of DH and RILs populations were different on the same genetic background in the present study, which illuminated the QE interaction played an important role on epistatic effect. Identification and comparison of QTLs for yield traits in DH and RILs populations should provide various and more precise information. The QTLs identified in present study would be valuable in marker-assisted selection program for improving rice yield.
Abstract Two genetic linkage maps, constructed by DH and RILs populations derived from the same parents, were carried out for the identification and comparison of QTLs controlling yield traits across different years in rice (Oryza sativa L.). A total of 194 SSR and STS markers were used in two maps, of which 114 markers were same. The distribution of Samgang allele was higher in RILs population than it in DH population. Comparing with DH population, RILs population has more lines with higher yield and wider phenotypic transgressive segression for yield traits. Although most of QTLs for the same trait were different in two populations across different years, 8 QTLs (including gwp11.1, spp5.1, spp10.1, spp11.2, ssr1.1, ssr11.1, tgw9.1 and tgw11.1) were detected over 2 yr. It is important to note that ppp10.1, spp10.1 and tgw9.1 were identified in two populations, while spp10.1 and tgw9.1 were simultaneity observed across different years. Epistatic effects were more important than additive effects for PPP, SPP, yield in DH population and TGW, yield in RILs population. Epistatic effects of DH and RILs populations were different on the same genetic background in the present study, which illuminated the QE interaction played an important role on epistatic effect. Identification and comparison of QTLs for yield traits in DH and RILs populations should provide various and more precise information. The QTLs identified in present study would be valuable in marker-assisted selection program for improving rice yield.
|
Received: 27 February 2012
Accepted: 06 February 2013
|
Fund: This work was supported by the Biogreen 21 R&D Program, Rural Development Administration, Republic of Korea (20100301-061-239-001-09-00) and the National Agriculture Science Technology Achievement Transformation Fund of China (2011GB2B000006). |
Corresponding Authors:
Correspondence Jae-Keun Sohn, Tel: +82-53-9505711, Fax: +82-53-9586880, E-mail: jhsohn@knu.ac.kr
E-mail: jhsohn@knu.ac.kr
|
About author: ZHAO Xin-hua, Mobile: 13840010478, E-mail: zxh0427@126.com |
Cite this article:
ZHAO Xin-hua, QIN Yang, JIA Bao-yan, Suk-Man Kim, Hyun-Suk Lee, Moo-Young Eun, Kyung-Min .
2013.
Comparison and Analysis of QTLs, Epistatic Effects and QTL×Environment Interactions for Yield Traits Using DH and RILs Populations in Rice. Journal of Integrative Agriculture, 12(2): 198-208.
|
[1]Baenziger P S, Wesenberg D M, Smail V M, Alexander W L,Schaeffer G W. 1989. Agronomic performanceperformance of wheat wheat doubleddoubled-haploidhaploid lines lines derived derived from cultivarscultivars by anther anther cultureculture. PlantBreeding, 103, 101-109[2]Basten C J, Weir B S, Zeng Z B 2005. QTL Cartographer,Version 1.17. Department of Statistics, North CarolinaState University, Raleigh.Brondani C, Rangel N, Brondani V, Ferreira E. 2002. QTLmapping and introgression of yield-related traits fromOryza glumaepatula to cultivated rice (Oryza sativa)using microsatellite markers. Theoretical and AppliedGenetics, 104, 1192-1203[3]Burr B, Burr F A. 1991. Recombinant inbreds for molecularmapping in maize: theoretical and practicalconsiderations. Trends in Genetics, 7, 55-60[4]Cho Y G, Kang H J, Lee J S, Lee Y T, Lim S J, Gauch H, EunM Y, McCouch S R. 2007. Identification of quantitativetrait loci in rice for yield, yield components, andagronomic traits across years and locations. CropScience, 47, 2403-2417[5]Collard B C Y, Mackill D J. 2008. Marker-assisted selection:an approach for precision plant breeding in the twentyfirstcentury. Philosophical Transactions of the RoyalSociety (B: Biological Sciences), 363, 557-572[6]Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, Li X, Zhang Q.2006. GS3 , a major QTL for grain length and weight andminor QTL for grain width and thickness in rice,encodes a putative transmembrane protein. Theoreticaland Applied Genetics, 112, 1164-1171[7]He P, Li J Z, Zheng X W, Shen L S, Lu C F, Chen Y, Zhu LH. 2001. Comparison of molecular linkage maps andagronomic trait loci between DH and RIL populationsderived from the same rice cross. Crop Science, 41,1240-1246[8]Hittalmani S, Huang N, Courtois B, Venuprasad R,Shashidhar H E, Zhuang J Y, Zheng K L, Liu G F, WangG C, Sidhu J S, et al. 2003. Identification of QTL forgrowth- and grain yield-related traits in rice across ninelocations of Asia. Theoretical and Applied Genetics, Baenziger P S, Wesenberg D M, Smail V M, Alexander W L,Schaeffer G W. 1989. Agronomic performanceperformance of wheat wheat doubleddoubled-haploidhaploid lines lines derived derived from cultivarscultivars by anther anther cultureculture. PlantBreeding, 103, 101-109[9]Basten C J, Weir B S, Zeng Z B. 2005. QTL Cartographer,Version 1.17. Department of Statistics, North CarolinaState University, Raleigh.Brondani [10]C, Rangel N, Brondani V, Ferreira E. 2002. QTLmapping and introgression of yield-related traits fromOryza glumaepatula to cultivated rice (Oryza sativa)using microsatellite markers. Theoretical and AppliedGenetics, 104, 1192-1203[11]Burr B, Burr F A. 1991. Recombinant inbreds for molecularmapping in maize: theoretical and practicalconsiderations. Trends in Genetics, 7, 55-60[12]Cho Y G, Kang H J, Lee J S, Lee Y T, Lim S J, Gauch H, EunM Y, McCouch S R. 2007. Identification of quantitativetrait loci in rice for yield, yield components, andagronomic traits across years and locations. CropScience, 47, 2403-2417[13]Collard B C Y, Mackill D J. 2008. Marker-assisted selection:an approach for precision plant breeding in the twentyfirstcentury. Philosophical Transactions of the RoyalSociety (B: Biological Sciences), 363, 557-572[14]Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, Li X, Zhang Q.2006. GS3 , a major QTL for grain length and weight andminor QTL for grain width and thickness in rice,encodes a putative transmembrane protein. Theoreticaland Applied Genetics, 112, 1164-1171[15]He P, Li J Z, Zheng X W, Shen L S, Lu C F, Chen Y, Zhu LH. 2001. Comparison of molecular linkage maps andagronomic trait loci between DH and RIL populationsderived from the same rice cross. Crop Science, 41,1240-1246[16]Hittalmani S, Huang N, Courtois B, Venuprasad R,Shashidhar H E, Zhuang J Y, Zheng K L, Liu G F, WangG C, Sidhu J S, et al. 2003. Identification of QTL forgrowth- and grain yield-related traits in rice across ninelocations of Asia. Theoretical and Applied Genetics, rice (Oryza sadva L.). Genes & Genomics, 31, 155-164[17]Rahman M L, Chu S H, Choi M, Li Q Y, Jiang W, Piao R,Khanam S, Cho Y, Jeung J, Jena K K. 2007. Identificationof QTLs for some agronomic traits in rice using anintrogression line from Oryza minuta. Molecules andCells, 24, 16-26[18]Redona E D, Mackill D J. 1998. Quantitative trait locusanalysis for rice panicle and grain characteristics.Theoretical and Applied Genetics, 96, 957-963[19]Ribaut J M, Hoisington D. 1998. Marker-assisted selection:new tools and strategies. Trends in Plant Science, 3,236-239[20]Septiningsih E M, Trijatmiko K R, Moeljopawiro S,McCouch S R. 2003. Identification of quantitative traitloci for grain quality in an advanced backcrosspopulation derived from the Oryza sativa variety IR64and the wild relative O. rufipogon. Theoretical andApplied Genetics, 107, 1433-1441[21]Tan L B, Zhang P J, Liu F X, Wang G J, Ye S, Zhu Z F, Fu YC, Cai H W, Sun C Q. 2008. Quantitative trait lociunderlying domestication and yield-related traits in anOryza sativa×Oryza rufipogon advanced backcrosspopulation. Genome, 51, 692-704[22]Tanksley S. 1993. Mapping polygenes. Annual Review ofGenetics, 27, 205-233[23]Thomson M J, Tai T H, McClung A M, Lai X H, Hinga M E,Lobos K B, Xu Y, Martinez C P, McCouch S R. 2003.Mapping quantitative trait loci for yield, yieldcomponents and morphological traits in an advancedbackcross population between Oryza rufipogon andthe Oryza sativa cultivar Jefferson. Theoretical andApplied Genetics, 107, 479-493[24]Wang D L, Zhu J, Li Z K, Paterson A H. 1999. MappingQTLs with epistatic effects and QTL×environmentinteractions by mixed linear model approaches.Theoretical and Applied Genetics, 99, 1255-1264[25]Xiao J, Li J, Grandillo S, Ahn S N, Yuan L, Tanksley S D,McCouch S R. 1998. Identification of trait-improvingquantitative trait loci alleles from a wild rice relative,Oryza rufipogon. Genetics, 150, 899-909[26]Xiao J, Li J, Yuan L, Tanksley S D. 1996. Identification ofQTLs affecting traits of agronomic importance in arecombinant inbred population derived from asubspecific rice cross. Theoretical and AppliedGenetics, 92, 230-244[27]Xie X, Jin F, Song M H, Suh J P, Hwang H G, Kim Y G,McCouch S, Ahn S N. 2008. Fine mapping of a yieldenhancingQTL cluster associated with transgressivevariation in an Oryza sativa×O. rufipogon cross.Theoretical and Applied Genetics, 116, 613-622[28]Xing Y, Tan Y, Hua J P, Sun X, Xu C, Zhang Q. 2002.Characterization of the main effects, epistatic effectsand their environmental interactions of QTLs on thegenetic basis of yield traits in rice. Theoretical andApplied Genetics, 105, 248-257[29]Xing Y, Zhang Q. 2010. Genetic and molecular bases of riceyield. Annual Review of Plant Biology, 61, 421-442[30]Xu J L, Yu S B, Luo L J, Zhong D B, Mei H W, Li Z K. 2004.Molecular dissection of the primary sink size and itsrelated traits in rice. Plant Breeding, 123, 43-50[31]Xu Y, Zhu L, Xiao J, Huang N, McCouch S R. 1997.Chromosomal regions associated with segregationdistortion of molecular markers in F2, backcross,doubled haploid, and recombinant inbred populationsin rice (Oryza sativa L.). Molecular and GeneralGenetics, 253, 535-545[32]Yan J B, Tang H, Huang Y Q, Zheng Y L, Li J S. 2006.Quantitative trait loci mapping and epistatic analysis forgrain yield and yield components using molecular markerswith an elite maize hybrid. Euphytica, 149, 121-131[33]Yano M, Sasaki T. 1997. Genetic and molecular dissectionof quantitative traits in rice. Plant Molecular Biology,35, 145-153[34]You A, Lu X, Jin H, Ren X, Liu K, Yang G, Yang H, Zhu L,He G. 2006. Identification of quantitative trait loci acrossrecombinant inbred lines and testcross populations fortraits of agronomic importance in rice. Genetics, 172,1287-1300[35]Yu S B, Li J X, Xu C G, Tan Y F, Gao Y J, Li X H, Zhang Q F,Saghai Maroof M A. 1997. Importance of epistasis asthe genetic basis of heterosis in an elite rice hybrid.Proceedings of the National Academy of Sciences ofthe United States of America, 94, 9226-9231[36]Yu S B, Li J X, Xu C G, Tan Y F, Li X H, Zhang Q F. 2002 .Identification of quantitative trait loci and epistaticinteractions for plant height and heading date in rice.Theoretical and Applied Genetics, 104, 619-625[37]Zeng Z B. 1994. Precision mapping of quantitative traitloci. Genetics, 136, 1457-1468[38]Zhang K P, Tian J C, Zhao L, Wang S S. 2008. MappingQTLs with epistatic effects and QTL×environmentinteractions for plant height using a doubled haploidpopulation in cultivated wheat. Journal of Genetics andGenomics, 35, 119-127[39]Zhang Q. 2007. Strategies for developing green super rice.Proceedings of the National Academy of Sciences ofthe United States of America, 104, 16402-16409[40]Zhang Z H, Li P, Wang L X, Hu Z L, Zhu L H, Zhu Y G. 2004.Genetic dissection of the relationships of biomassproduction and partitioning with yield and yield relatedtraits in rice. Plant Science, 167, 1-8[41]Zhao X, Qin Y, Sohn J K. 2010. Identification of main effects,epistatic effects and their environmental interactions ofQTLs for yield traits in rice. Genes & Genomics, 32, 37-45[42]Zhuang J Y, Fan Y Y, Rao Z M, Wu J L, Xia Y W, Zheng KL. 2002. Analysis on additive effects and additive-byadditiveepistatic effects of QTLs for yield traits in arecombinant inbred line population of rice. Theoreticaland Applied Genetics, 105, 1137-1145[43]Zhuang J Y, Lin H X, Lu J, Qian H R, Hittalmani S, Huang N,Zheng K L. 1997. Analysis of QTL×environmentinteraction for yield components and plant height inrice. Theoretical and Applied Genetics, 95, 799-808. |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|