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Journal of Integrative Agriculture  2013, Vol. 12 Issue (6): 951-961    DOI: 10.1016/S2095-3119(13)60315-9
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
QTL Mapping for Dough Mixing Characteristics in a Recombinant Inbred Population Derived from a Waxy×Strong Gluten Wheat (Triticum aestivum L.)
 ZHENG Fei-fei, DENG Zhi-ying, SHI Cui-lan, ZHANG Xin-ye , TIAN Ji-chun
State Key Laboratory of Crop Biology, /Key Laboratory of Crop Biology of Shandong Province, Education Department of Shandong Province/Agronomy College, Shandong Agricultural University, Tai’an 271018, P.R.China
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摘要  Protein and starch are the most important traits in determining processing quality in wheat. In order to understand the genetic basis of the influence of Waxy protein (Wx) and high molecular weight gluten subunit (HMW-GS) on processing quality, 256 recombinant inbred lines (RILs) derived from the cross of waxy wheat Nuomai 1 and Gaocheng 8901 were used as mapping population. DArT (diversity arrays technology), SSR (simple sequence repeat), HMW-GS, and Wx markers were used to construct the molecular genetic linkage map. QTLs for mixing peak time (MPT), mixing peak value (MPV), mixing peak width (MPW), and mixing peak integral (MPI) of Mixograph parameters were evaluated in three different environments. The genetic map comprised 498 markers, including 479 DArT, 14 SSR, 2 HMW-GS, and 3 Wx protein markers, covering 4 229.7 cM with an average distance of 9.77 cM. These markers were identified on 21 chromosomes. Eighteen additive QTLs were detected in three different environments, which were distributed on chromosomes 1A, 1B, 1D, 4A, 6A, and 7D. QMPT-1D.1 and QMPT-1D.2 were close to the Glu-D1 marker accounting for 35.2, 22.22 and 36.57% of the phenotypic variance in three environments, respectively. QMPV-1D and QMPV-4A were detected in all environments, and QMPV-4A was the nearest to Wx-B1. One minor QTL, QMPI-1A, was detected under three environments with the genetic distances of 0.9 cM from the nearest marker Glu-A1, explaining from 5.31 to 6.67% of the phenotypic variance. Three pairs of epistatic QTLs were identified on chromosomes 2D and 4A. Therefore, this genetic map is very important and useful for quality trait related QTL mapping in wheat. In addition, the finding of several major QTLs, based on the genetic analyses, further suggested the importance of Glu-1 loci on dough mixing characteristics.

Abstract  Protein and starch are the most important traits in determining processing quality in wheat. In order to understand the genetic basis of the influence of Waxy protein (Wx) and high molecular weight gluten subunit (HMW-GS) on processing quality, 256 recombinant inbred lines (RILs) derived from the cross of waxy wheat Nuomai 1 and Gaocheng 8901 were used as mapping population. DArT (diversity arrays technology), SSR (simple sequence repeat), HMW-GS, and Wx markers were used to construct the molecular genetic linkage map. QTLs for mixing peak time (MPT), mixing peak value (MPV), mixing peak width (MPW), and mixing peak integral (MPI) of Mixograph parameters were evaluated in three different environments. The genetic map comprised 498 markers, including 479 DArT, 14 SSR, 2 HMW-GS, and 3 Wx protein markers, covering 4 229.7 cM with an average distance of 9.77 cM. These markers were identified on 21 chromosomes. Eighteen additive QTLs were detected in three different environments, which were distributed on chromosomes 1A, 1B, 1D, 4A, 6A, and 7D. QMPT-1D.1 and QMPT-1D.2 were close to the Glu-D1 marker accounting for 35.2, 22.22 and 36.57% of the phenotypic variance in three environments, respectively. QMPV-1D and QMPV-4A were detected in all environments, and QMPV-4A was the nearest to Wx-B1. One minor QTL, QMPI-1A, was detected under three environments with the genetic distances of 0.9 cM from the nearest marker Glu-A1, explaining from 5.31 to 6.67% of the phenotypic variance. Three pairs of epistatic QTLs were identified on chromosomes 2D and 4A. Therefore, this genetic map is very important and useful for quality trait related QTL mapping in wheat. In addition, the finding of several major QTLs, based on the genetic analyses, further suggested the importance of Glu-1 loci on dough mixing characteristics.
Keywords:  bread wheat       RIL population       genetic map       mixograph       QTL  
Received: 08 September 2012   Accepted:
Fund: 

This research was supported by the National Natural Science Foundation of China (31171554), the National Basic Research Program of China (2009CB118301), and the Natural Science Foundation of Shandong Province, China (ZR2009DQ009).

Corresponding Authors:  Correspondence TIAN Ji-chun, Tel/Fax: +86-538-8242040, E-mail: jctian@sdau.edu.cn, jctiansd@126.com     E-mail:  jctian@sdau.edu.cn
About author:  ZHENG Fei-fei, E-mail: feifeizh8620@163.com

Cite this article: 

ZHENG Fei-fei, DENG Zhi-ying, SHI Cui-lan, ZHANG Xin-ye , TIAN Ji-chun. 2013. QTL Mapping for Dough Mixing Characteristics in a Recombinant Inbred Population Derived from a Waxy×Strong Gluten Wheat (Triticum aestivum L.). Journal of Integrative Agriculture, 12(6): 951-961.

[1]Ainsworth C, Arvis M, Clark J. 1993. Isolation and analysisof cDNA clone encoding the small subunit of ADPglucosepyrophosphorylase from wheat. PlantMolecular Biology, 23, 23-33

[2]Akbari M, Wenzl P, Caig V, Carling J, Xia L, Yang S,Uszynski G, Mohler V, Lehmensiek A, Kuchel H, et al.2006. Diversity arrays technology (DArT) for highthroughputprofiling of the hexaploid wheat genome.Theoretical and Applied Genetics, 113, 1409-1420

[3]Arbelbide M, Bernardo R. 2006. Mixed-model QTL mappingfor kernel hardness and dough strength in bread wheat.Theoretical and Applied Genetics, 112, 885-890

[4]Campbell K G, Finney P L, Bergman C J, Gualberto D G,Anderson J A, Giroux M J. 2001. Quantitative trait lociassociated with milling and baking quality in a soft × hardcross. Crop Science, 41, 1275-1285

[5]Clark J R, Robertson M, Anisworth C C. 1991. Nucleotidesequence of a wheat (Triticum aestivum L.) cDNA cloneencoding the waxy protein. Plant Molecular Biology,16, 1099-1101

[6]Cui F. 2011. Construction of high-density wheat moleculargenetic map and QTL analysis for yield-related traits.Ph D thesis, Shandong Agricultural University, China.(in Chinese)Deng Z Y, Tian J C, Sun G X. 2005. Influence of highmolecular weight glutenin subunit substitution onrheological behavior and bread-baking quality of nearisogeniclines developed from Chinese wheats. PlantBreeding, 124, 428-431

[7]Guo X J. 2003. The Construction of wheat molecular linkagemap. MSc thesis, Shanxi Agricultural University, China.(in Chinese)Elangovan M, Rai R, Oak M, Dholakia B B, Lagu M D,Tiwari R, Gupta R K, Tamhankar S, Röder M S, Gupta VS. 2008. Revealing the genetic relationship of doughmechanical properties with loaf volume using QTLanalysis of mixograph traits in wheat. Journal of CerealScience, 47, 587-598

[8]Hong Y H, Xiao N, Zhang C, Su Y, Chen J M. 2009. Principleof diversity arrays technology (DArT) and itsapplications in genetic research of plants. Hereditas,31, 359-364 (in Chinese)

[9]Hsam S L K, Kieffer R, Zeller F J. 2001. Significance ofAegilops tauschii glutenin genes on bread makingproperties of wheat. Cereal Chemistry, 78, 521-525

[10]Huang X Q, Cloutier S, Lycar L, Radovanovic N, HumphreysD G, Noll J S, Somers D J, Brown P D. 2006. Moleculardetection of QTLs for agronomic and quality traits in adoubled haploid population derived from two Canadianwheats (Triticum aestivum L.). Theoretical and AppliedGenetics, 113, 753-766

[11]Huebner F R, Wall J S. 1976. Fractionation and quantitativedifferences of glutenin from wheat varieties varying inbaking quality. Cereal Chemistry, 53, 258-269

[12]Jaccoud D, Peng K, Feinstein D, Kilian A. 2001. Diversityarrays: a solid state technology for sequenceinformation independent genotyping. Nuclear AcidsResearch, 29, 25.Karakousis A, Gustafson J P, Chalmers K J, Barr A R,Langridge P. 2003. A consensus map of barleyintegrating SSR, RFLP, and AFLP markers. AustralianJournal of Agricultural Research, 54, 1173-1185

[13]Kerfal S, Giraldo P, Rodríguez-Quijano M, Francisco V J,Adams K, Lukow O M, Röder M S, Somers D J, CarrilloJ M. 2010. Mapping quantitative trait loci (QTLs)associated with dough quality in a soft × hard breadwheat progeny. Journal of Cereal Science, 52, 46-52

[14]Kosami D D. 1994. The estimation of map distance fromrecombination values. Annals of Eugenics, 12, 172-175

[15]Kunerth W H, D’Appolonia B L. 1985. Use of the mixographand farinograph in wheat quality evaluation. In: HamedF, ed., Rheology of Wheat Products. AmericanAssociation of Cereal Chemists, USA. pp. 27-49

[16]Lincoln S E, Daly M J, Lander E S. 1993. Constructinglinkage maps with MAPMAKER/Exp ver. 3.0. WhiteheadInstitute for Medical Report. Cambridge, MA.Mantovani P, Maccaferri M, Sanguineti M C, Tuberosa R,Catizone I, Wenzl P, Thomson B, Carling J, Huttner E,Ambrogio E D, et al. 2008. A ed DArT-SSRlinkage map of durum wheat. Molecular Breeding, 22,629-648

[17]Nelson J C, Andreescu C, Breseghello F, Finney P L, GualbertoD G, Bergman C J, Peña R J, Perretant M R, Leroy P, QualsetC O, et al. 2006. Quantitative trait locus analysis of wheatquality traits. Euphytica, 149, 145-159

[18]Payne P L, Lawrence G J. 1983. Catalogue of alleles for thecomplex gene loci, Glu-A1, Glu-B1, Glu-D1, which codefor high molecular weight subunits of glutenin inhexaploid wheat. Cereal Research Communications,11, 29-35

[19]Peleg Z, Saranga Y, Suprunova T, Ronin Y, Röder M S,Kilian A, Korol A B, Fahima T. 2008. High-densitygenetic map of durum wheat × wild emmer wheat basedon SSR and DArT markers. Theoretical and AppliedGenetics, 117, 103-115

[20]Pestsova E, Ganal M W, Röder M S. 2000. Isolation andmapping of microsatellite markers specific for the Dgenome of bread wheat. Genome, 43, 689-697

[21]Röder M S, Korzun V, Wendehake K, Plaschke J, Tixier MH, Leroy P, Ganal M W. 1998. A microsatellite map ofwheat. Genetics, 149, 2007-2023

[22]Somers D J, Isaac P, Edwards K. 2004. A high-densitymicrosatellite consensus map for bread wheat (Triticumaestivum L.). Theoretical and Applied Genetics, 109,1105-1114

[23]Song J M, Li B Y, You M S, Liang R Q, Chang C, Liu S B,Tang Z H, Liu G T. 2004. Molecular identification of wheatgranule bound starch synthase gene polymorphism.Acta Genetica Sinica, 31, 81-86

[24]Song X L, Sun X Z, Zhang T Z. 2006. Segregation distortionand its effect on genetic mapping in plants. Journal ofAgricultural Biotechnology, 14, 286-292

[25]Sun H Y, Lü J H, Fan Y D, Zhao Y, Kong F M, Li R J, WangH G, Li S S. 2008. Quantitative trait loci (QTLs) for qualitytraits related to protein and starch in wheat. Progressin Natural Science, 18, 825-831

[26]Tsilo T J, Simsek S, Ohm J B, Hareland G A, Chao S,Anderson J A. 2011. Quantitative trait loci influencingendosperm texture, dough-mixing strength, and breadmakingproperties of the hard red spring wheat breedinglines. Genome, 54, 460-470

[27]Voorrips R E. 2002. MapChart software for the graphicalpresentation of linkage maps and QTLs. Journal ofHeredity, 93, 77-78

[28]Wang D L, Zhu J, Li Z K, Paterson A H. 1999. MappingQTLs with epistatic effects and QTL × environmentinteractions by mixed linear modelapproaches.Theoretical and Applied Genetics, 99, 1255-1264

[29]Wenzl P, Carling J, Kudrna D, Jaccoud D, Huttner E,Kleinhofs A, Kilian A. 2004. Diversity arrays technology(DArT) for whole-genome profiling of barley.Proceedings of the National Academy of Sciences ofthe United States of Ameria, 101, 9915-9920

[30]Wittenberg A H J, van der Lee T, Cayla C, Kilian A, Visser RG F, Schouten H J. 2005. Validation of the highthroughputmarker technology DArT using the modelplant Arabidopsis thaliana. Molecular Genetics andGenomics, 274, 30-39

[31]Wu Y P, Zhang Y L, Xiao Y G, Yan J, Zhang Y, Zhang X K,Zhang L M, Xia X C, He Z H. 2008. QTL mapping forimportant quality traits in common wheat. ScientiaAgricultura Sinica, 41, 331-339

[32](in Chinese)Xia L, Yang S Y, Wenzl P, Vicente M C D, Fregene M, KilianA. 2005. DArT for high-throughput genotyping ofCassava (Manihot esculenta) and its wild relatives.Theoretical and Applied Genetics, 110, 1092-1098

[33]Yang J, Zhu J. 2005. Methods for predicting superiorgenotypes under multiple environments based on QTLeffects. Theoretical and Applied Genetics, 110, 1268-1274

[34]Yao Q, Zhou R H, Pan Y M, Fu T H, Jia J Z. 2010. Constructionof genetic linkage map and QTL analysis of agronomicimportant traits based on a RIL population derived fromcommon wheat variety Yanzhan 1 and Zaosui 30. ScientiaAgricultura Sinica, 43, 4130-4139 (in Chinese)

[35]Zanetti S, Winzeler M, Feuillet C, Keller B, Messmer M.2001. Genetic analysis of bread-making quality in wheatand spelt. Plant Breeding, 120, 13-19

[36]Zhai H M, Tian J C. 2007. Development of wheat mutantscarrying diferent null Wx alleles and their starch properties.Acta Agronomica Sinica, 33, 1059-1066 (in Chinese)

[37]Zhang K P, Zhao L, Tian J C, Chen G F, Jiang X L, Liu B.2008. A genetic map constructed using a doubledhaploid population derived from two elite Chinesecommon wheat varieties. Journal of Integrative PlantBiology, 50, 941-950

[38]Zhang Y L, Wu Y P, Xiao Y G, Yan J, Zhang Y, Zhang Y, MaC X, Xia X C, He Z H. 2009. QTL mapping for milling,gluten quality and flour pasting properties in arecombinant inbred line population derived from aChinese soft × hard wheat cross. Crop & Pasture Science,60, 587-597

[39]Zhao X C, Sharp P J. 1996. An improved 1-D SDS-PAGEmethod for identification of three bread wheat ‘waxy’proteins. Journal of Cereal Science, 23, 191-193

[40]Zheng S S, Byrne P F, Shan X Y, Reid S D, Haley S D,Seabourn B W. 2009. Association analysis revealseffects of wheat glutenin alleles and rye translocationson dough-mixing properties. Journal of Cereal Science,50, 283-290

[41]Zhu Z D, Jia J Z. 2003. Microsatellite marker developmentand applications in wheat genetic and breeding.Hereditas, 25, 355-360.
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