Quantitative Trait Loci for Grain Chalkiness and Endosperm Transparency Detected in Three Recombinant Inbred Line Populations of Indica Rice

doi:10.1016/S2095-3119(13)60199-9

Journal of Integrative Agriculture ›› 2013, Vol. 12 ›› Issue (1): 1-11.DOI: 10.1016/S2095-3119(13)60199-9

• 论文 • 下一篇

Quantitative Trait Loci for Grain Chalkiness and Endosperm Transparency Detected in Three Recombinant Inbred Line Populations of Indica Rice

MEI De-yong, ZHU Yu-jun, YU Yong-hong, FAN Ye-yang, HUANG De-run, ZHUANG Jie-yun

China National Rice Research Institute, Hangzhou 310006, P.R.China

收稿日期:2012-02-07 出版日期:2013-01-01 发布日期:2013-01-24
通讯作者: Correspondence ZHUANG Jie-yun, Tel: +86-571-63370369, Fax: +86-571-63370364, Email:jz1803@hzcnc.com
作者简介:MEI De-yong, Tel: +86-571-63370364, E-mail: mdyand333@foxmail.com
基金资助:
This work was supported by the National 863 Program of China (2011AA10A101), the Chinese High-Yielding Transgenic Program (2011ZX08001-004), and a project of the State Key Laboratory of Rice Biology, China (ZZKT201101).

Quantitative Trait Loci for Grain Chalkiness and Endosperm Transparency Detected in Three Recombinant Inbred Line Populations of Indica Rice

MEI De-yong, ZHU Yu-jun, YU Yong-hong, FAN Ye-yang, HUANG De-run, ZHUANG Jie-yun

China National Rice Research Institute, Hangzhou 310006, P.R.China

Received:2012-02-07 Online:2013-01-01 Published:2013-01-24
Contact: Correspondence ZHUANG Jie-yun, Tel: +86-571-63370369, Fax: +86-571-63370364, Email:jz1803@hzcnc.com
About author:MEI De-yong, Tel: +86-571-63370364, E-mail: mdyand333@foxmail.com
Supported by:
This work was supported by the National 863 Program of China (2011AA10A101), the Chinese High-Yielding Transgenic Program (2011ZX08001-004), and a project of the State Key Laboratory of Rice Biology, China (ZZKT201101).

摘要/Abstract

摘要： Quantitative trait loci (QTL) for percentage of chalky grain, degree of chalkiness, and endosperm transparency were detected using 3 recombinant inbred line populations derived from crosses between parental lines of commercial three-line hybrids of indica rice. Two of the populations showed great variations on heading date, and the other had a short range of heading date variation. A total of 40 QTLs were detected and fell into 15 regions of 10 chromosomes, of which 5 regions were detected for 1 or more same traits over different populations, 2 were detected for different traits in different populations, 3 were detected for 2 or all the 3 traits in a single population, and 5 were detected for a single trait in a single population. Most of these QTLs have been reported previously, but a region located on the long arm of chromosome 10 showing significant effects in all the 3 populations has not been reported before. It was shown that a number of gene cloned, including the Wx and Alk for the physiochemical property of rice grain, and GW2, GS3 and GW5 for grain weight and grain size, could have played important roles for the genetic control of grain chalkiness in rice, but there are many more QTLs exerting stable effects for rice chalkiness over different genetic backgrounds. It is worth paying more attentions to these regions which harbor QTL such as the qPCG5.2/qDC5.2/qET5.2 and qPCG10/qDC10/qET10 detected in our study. Our results also showed that the use of segregating populations having high-uniform heading date could greatly increase the efficiency of the identification of QTL responsible for traits that are subjected to great environmental influence.

关键词: percentage of chalky grain, degree of chalkiness, endosperm transparency, quantitative trait locus, headingdate variation, indica rice (Oryza sativa L. subsp. indica)

Abstract: Quantitative trait loci (QTL) for percentage of chalky grain, degree of chalkiness, and endosperm transparency were detected using 3 recombinant inbred line populations derived from crosses between parental lines of commercial three-line hybrids of indica rice. Two of the populations showed great variations on heading date, and the other had a short range of heading date variation. A total of 40 QTLs were detected and fell into 15 regions of 10 chromosomes, of which 5 regions were detected for 1 or more same traits over different populations, 2 were detected for different traits in different populations, 3 were detected for 2 or all the 3 traits in a single population, and 5 were detected for a single trait in a single population. Most of these QTLs have been reported previously, but a region located on the long arm of chromosome 10 showing significant effects in all the 3 populations has not been reported before. It was shown that a number of gene cloned, including the Wx and Alk for the physiochemical property of rice grain, and GW2, GS3 and GW5 for grain weight and grain size, could have played important roles for the genetic control of grain chalkiness in rice, but there are many more QTLs exerting stable effects for rice chalkiness over different genetic backgrounds. It is worth paying more attentions to these regions which harbor QTL such as the qPCG5.2/qDC5.2/qET5.2 and qPCG10/qDC10/qET10 detected in our study. Our results also showed that the use of segregating populations having high-uniform heading date could greatly increase the efficiency of the identification of QTL responsible for traits that are subjected to great environmental influence.

Key words: percentage of chalky grain, degree of chalkiness, endosperm transparency, quantitative trait locus, headingdate variation, indica rice (Oryza sativa L. subsp. indica)

MEI De-yong, ZHU Yu-jun, YU Yong-hong, FAN Ye-yang, HUANG De-run, ZHUANG Jie-yun. Quantitative Trait Loci for Grain Chalkiness and Endosperm Transparency Detected in Three Recombinant Inbred Line Populations of Indica Rice[J]. Journal of Integrative Agriculture, 2013, 12(1): 1-11.

参考文献

[1]Cheng F M, Zhong L J. 2001. Variation of rice quality traitsunder different climate conditions and its main affectedfactors. Chinese Journal of Rice Science, 15, 187-191

[2](in Chinese)Jin J, Sun S Y, ZhuMZ, Lin H X. 2006. Constructionof chromosome segment substitution lines carryingoverlapping chromosome segments of the whole wildrice genome and identification of quantitative trait locifor rice quality. Journal of Plant Physiology andMolecular Biology, 32, 354-362

[3](in Chinese)Hao W, Zhu M Z, Gao J P, Sun S Y, Lin H X. 2009.Identification of quantitative trait loci for rice quality ina population of chromosome segment substitution lines.Journal of Integrative Plant Biology, 51, 500-512

[4]He P, Li S G, Qian Q, Ma Y Q, Li J Z, Wang W M, Chen Y,Zhu L H. 1999. Genetic analysis of rice grain quality.Theoretical and Applied Genetics, 98, 502-508

[5]Gao Z, Zeng D, Cheng F, Tian Z, Guo L, SuY, Yan M, JiangH, Dong G, Huang Y, et al. 2011. ALK, the key gene forgelatinization temperature is a modifier gene for gelconsistency in rice. Journal of Integrative PlantBiology, 53, 756-765

[6]Guo T, Liu X,Wan X,Weng J, Liu S, Liu X, ChenM, Li J, SuN, Wu F, et al. 2011. Identification of a stablequantitative trait locus for percentage grains with whitechalkiness in rice (Oryza sativa). Journal of IntegrativePlant Biology, 53, 598-607

[7]Kobayashi A, Bao G, Ye S, Tomita K T. 2007. Detection ofquantitative trait loci for white-back and basal-whitekernels under high temperature stress in japonica ricevarieties. Breeding Science, 57, 107-116

[8]Lander E, Green P, Abrahamson J, Barlow A, Daley M,Lincoln S, Newburg L. 1987. MAPMAKER: aninteractive computer package for constructing primarygenetic maps of experimental and natural populations.Genomics, 1, 174-181

[9]Lei D Y, Xie F M, Chen L Y. 2007. QTL mapping for grainappearance quality traits of advanced backcrossingintrogression lines in rice. Journal of HunanAgricultural University (Natural Sciences), 35, 1-4 (inChinese)

[10]Li J, Xiao J, Grandillo S, Jiang L, Wan Y, Deng Q, Yuan L,McCouch S R. 2004. QTL detection for rice grain qualitytraits using an interspecific backcross populationderived from cultivated Asian (O. sativa L.) and African(O. glaberrima S.) rice. Genome, 47, 697-704

[11]Li Z F, Wan J M, Xia J F, Zhai H Q. 2003. Mappingquantitative trait loci underlying appearance quality ofrice grains (Oryza sativa L.). Acta Genetica Sinica, 30,251-259

[12]Liu J F, Kui LM, Zhu Z F, Tan L B, Wang G J, Li Q Q, ShuJ H, Sun C Q. 2007. Identification of QTLs associatedwith processing quality and appearance quality ofcommon wild rice (Oryza rufipogon Griff.). Journal ofAgricultural Biotechnology, 15, 90-96 (in Chinese)

[13]McCouch S R, CGSNL (Committee on Gene Symbolization,Nomenclature and Linkage, Rice Genetics Cooperative).2008. Gene nomenclature system for rice. Rice, 1, 72-84

[14]Mu P, Guo YM, Liu J F, Lu Y X, Li Z C. 2007. QTLmappingand QTL×environments interactions of grain milling andappearance quality traits in rice under upland andlowland environments. Journal of AgriculturalBiotechnology, 15, 654-660. (in Chinese)

[15]NSPRC (The National Standard of the People’s Republicof China). 2009. High Quality Paddy. CB/T17891-1999 (in Chinese)

[16]Song X J, HuangW, DhiM, Zhu MZ, Lin H X. 2007. AQTLfor rice grain wifth and weight encodes a previouslyknown RING-type E3 ubiquitin ligase. Nature Genetics,39, 623-630

[17]Tabata M, Hirabayashi H, Takeuchi Y, Ando I, Lida Y,Ohsawa. 2007. Mapping of quantitative trait loci for theoccurrence of white-back kernals associated with hightemperature during the ripening period of rice (Oryzasativa L.). Breeding Science, 57, 47-52

[18]Tan Y F, Xing Y Z, Li J X, Yu S B, Xu C G, Zhang Q. 2000.Genetic bases of appearance quality of rice grains inShanyou 63, an elite rice hybrid. Theoretical andApplied Genetics, 101, 823-829

[19]Wan X Y, Wan J M, Weng J F, Jiang L, Bi J C, Wang C M,Zhai HQ. 2005. Stability of QTLs for rice grain dimensionand endosperm chalkiness characteristics across eightenvironments. Theoretical and Applied Genetics, 110,1334-1346

[20]Wang D Y, Zhang X F, Zhu Z W, Chen N, Min J, Yao Q, YanJ L, Liao X Y. 2005. Correlation analysis of rice grainquality characteristics. Acta Agronomica Sinica, 31,1086-1091

[21](in Chinese)Weng J, Gu S, Wan X, Gao H, Guo T, Su N, Lei C, Zhang X,Cheng Z, Guo X, et al. 2008. Isolation and initialcharacterization of GW5, a major QTL associated withrice grain width and weight. Cell Research, 18, 1199-1209

[22]Yang J, Hu C, Hu H, Yu R, Xia Z, Ye X, Zhu J. 2008.QTLNetwork: mapping and visualizing geneticarchitecture of complex traits in experimentalpopulations. Bioinformatics, 24, 721-723

[23]Yang S H, Cheng B Y, Wu J L, Shen W F, Cheng S H. 2006.Review and prospects on rice breeding and extensionin China. Rice Science, 13, 1-8

[24]Yoshida S, Ikegami M, Kuze J, Sawada K, Hashimoto Z,Ishii T, Nakamura C, Kamijima O. 2002. QTL analysisfor plant and grain characters of sake-brewing rice usinga doubled haploid population. Breeding Science, 52,309-317

[25]Yu Y H, Li G, Fan YY, Zhang K Q, Min J, Zhu Z W, ZhuangJ Y. 2009. Genetic relationship between grain yield andthe contents of protein and fat in a recombinant inbredpopulation of rice. Journal of Cereal Science, 50, 121-125

[26]Zeng D L, Qian Q, Ruan LQ, Teng S, Yasufumi K, Hiroshi F,Zhu L H. 2002. QTL analysis of chalkiness size in threedimensions. Chinese Journal of Rice Science, 16, 11-14 (in Chinese)

[27]Zhang Z H, Guo L, Zhu Y J, Fan Y Y, Zhuang J Y. 2011.Mapping of quantitative trait loci for heading date andplant height in two populations of indica rice. ScientiaAgricultura Sinica, 44, 3069-3077 (in Chinese)

[28]Zhou L, Chen L, Jiang L, Zhang W, Liu L, Liu X, Zhao Z,Liu S, Zhang L, Wang J, et al. 2009. Fine mapping of thegrain chalkiness QTL qPGWC-7 in rice (Oryza sativaL.). Theoretical and Applied Genetics, 118, 581-590

[29]Zhou P H, Tan Y F, He Y Q, Xu C G, Zhang Q. 2003.Simultaneous improvement for four quality traits ofZhenshan 97, an elite parent of hybrid rice, by molecularmarker-assisted selection. Theoretical and AppliedGenetics, 106, 326-331

[30]Zhu Y J, Tu G Q, Ying J Z, Fan Y Y, Zhuang J Y. 2010. F1performance and heterosis of late-season indica hybridrice as revealed in testcrosses between Zhong 9A andrecombinant inbred restorer lines. Hybrid Rice, 25(Special issue), 131-133 (in Chinese)

[31]Zhuang J Y, Zhu Y J, Tu G Q, Ying J Z, Fan Y Y. 2010. Genepyramiding assisted breeding of hybrid ricecombination Zhongyou 161 with high yield and highgrain quality. Hybrid Rice, 25, 12-14. (in Chinese)

Quantitative Trait Loci for Grain Chalkiness and Endosperm Transparency Detected in Three Recombinant Inbred Line Populations of Indica Rice

Quantitative Trait Loci for Grain Chalkiness and Endosperm Transparency Detected in Three Recombinant Inbred Line Populations of Indica Rice

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