|
|
|
|
|
| Identification of QTLs Conferring Agronomic and Quality Traits in Hexaploid Wheat |
| MAJun, ZHANGCai-ying, YANGui-jun, andLIUChun-ji |
1.CSIRO Plant Industry, St Lucia QLD 4067, Australia
2.Key Laboratory for Crop Germplasm Resources of Hebei Province/College of Life Science, Agricultural University of Hebei, Baoding 071001, P.R.China
3.School of Plant Biology, The University of Western Australia, Perth WA 6009 Australia |
|
|
|
摘要 The availability of elite germplasm resources with high yield and quality potentials is very important for development of cultivars in wheat. Thus, seeking such resources has been the continuous effort of breeder community. In this study, genetic analysis of a novel resource, Triticum spelta line CSCR6, from Australia was made by use of a recombination inbred line (RIL) population of 82 individuals from the cross between CSCR6 and another Australian hexaploid wheat cultivar, Lang. Data of a multiple environmental test was employed to genetically dissect quantitative trait loci (QTL) for agronomic traits such as plant height (PH), spike length (SL), spikelet per spike (SPI), grain number per spike (GNS) and thousand grains weight (TGW) and for quality traits including grain protein content (GPC), gluten content (GC), grain hardness (GH), falling number (FN) and sedimentation value (SV). A 24 QTLs with additive effects were detected for all the investigated traits, and were located on chromosomes 1B, 1D, 2B, 3A, 3B, 3D, 4B, 5A, 5B, 7A, and 7B, respectively. Some QTLs located on 2B and 4B showed higher explanation of phenotypic variances and were not obviously interacted with environment. A QTL in the marker interval of wPT-5334-wPT-4918 (near the locus barc 0199) on 4B gave the highest contribution ratio of 30.76% on PH, while Qgpc-4B and Qgc-4B gave 13.07 and 14.70% contribution ratio on GPC and GC, respectively. Qph-2B, Qgns-2B, and Qgpc-2B showed 13.36, 10.00, and 10.79% contribution ratio on PH, GNS and GPC, respectively. Also, a QTL on 5A, Qsl- 5A, could explain 25.12% of phenotypic variance on SL. For most of agronomic and quality traits, CSCR6 alleles produced increase effects. The fact that a number of loci affecting the investigated traits were detected in T. spelta line CSCR6 revealed that it could offer a new opportunity for the manipulation of these traits in wheat breeding programs.
Abstract The availability of elite germplasm resources with high yield and quality potentials is very important for development of cultivars in wheat. Thus, seeking such resources has been the continuous effort of breeder community. In this study, genetic analysis of a novel resource, Triticum spelta line CSCR6, from Australia was made by use of a recombination inbred line (RIL) population of 82 individuals from the cross between CSCR6 and another Australian hexaploid wheat cultivar, Lang. Data of a multiple environmental test was employed to genetically dissect quantitative trait loci (QTL) for agronomic traits such as plant height (PH), spike length (SL), spikelet per spike (SPI), grain number per spike (GNS) and thousand grains weight (TGW) and for quality traits including grain protein content (GPC), gluten content (GC), grain hardness (GH), falling number (FN) and sedimentation value (SV). A 24 QTLs with additive effects were detected for all the investigated traits, and were located on chromosomes 1B, 1D, 2B, 3A, 3B, 3D, 4B, 5A, 5B, 7A, and 7B, respectively. Some QTLs located on 2B and 4B showed higher explanation of phenotypic variances and were not obviously interacted with environment. A QTL in the marker interval of wPT-5334-wPT-4918 (near the locus barc 0199) on 4B gave the highest contribution ratio of 30.76% on PH, while Qgpc-4B and Qgc-4B gave 13.07 and 14.70% contribution ratio on GPC and GC, respectively. Qph-2B, Qgns-2B, and Qgpc-2B showed 13.36, 10.00, and 10.79% contribution ratio on PH, GNS and GPC, respectively. Also, a QTL on 5A, Qsl- 5A, could explain 25.12% of phenotypic variance on SL. For most of agronomic and quality traits, CSCR6 alleles produced increase effects. The fact that a number of loci affecting the investigated traits were detected in T. spelta line CSCR6 revealed that it could offer a new opportunity for the manipulation of these traits in wheat breeding programs.
|
|
Received: 26 December 2011
Accepted:
|
| Fund: The study was partially funded by the Visiting Scientist Scholarship and Wheat Breeding Research Project of Hebei Province, China (06220114D). |
|
Corresponding Authors:
Correspondence ZHANG Cai-ying, Tel: +86-312-7521558, E-mail: zhangcaiying@hebau.edu.cn
E-mail: zhangcaiying@hebau.edu.cn
|
Cite this article:
MAJun , ZHANGCai-ying , YANGui-jun , andLIUChun-ji .
2012.
Identification of QTLs Conferring Agronomic and Quality Traits in Hexaploid Wheat. Journal of Integrative Agriculture, 12(9): 1399-1408.
|
| [1]Akbari M, Wenzl P, Caig V, Carlig J, Xia L, Yang S, Uszynski G, Mohler V, Lehmensiek A, Kuchel H, et al. 2006. Diversity arrays technology (DArT) for highthroughput profiling of the hexaploid wheat genome. Theoretical and Applied Genetics, 113, 1409-1420. [2]Blanco A, Pasqualone A, Troccoli A, Fonzo N D, Simeone R. 2002. Detection of grain protein content QTLs across environments in tetraploid wheats. Plant Molecular Biology, 48, 615-623. [3]Cadalen T, Sourdille P, Charmet G, Tixier M H, Gay G, Boeuf C, Bernard S, Leroy P, Bernard M. 1998. Molecular marker linked to genes affecting plant height in wheat using a doubled-haploid population. Theoretical and Applied Genetics, 96, 933-940. [4]Campbell B T, Baenziger P S, Gill K S, Eskridge K M, Budak H, Erayman M, Dweikat I, Yen Y. 2003. Identification of QTL and environmental interactions associated with agronomic traits on chromosome 3A of wheat. Crop Science, 43, 1493-1505. [5]Campbell K G, Bergman C J, Gualberto D G, Anderson J A, Giroux M J, Hareland G, Fulcher R G, Sorrells M E, Finney P L. 1999. Quantitative trait loci associated with kernel traits in a soft×hard wheat cross. Crop Science, 39, 1184-1195. [6]Carter A H, Garland-Campbell K, Kidwell K K. 2011. Genetic mapping of quantitative trait loci associated with important agronomic traits in the spring wheat (Triticum aestivum L.) cross ‘Louise’בPenawawa’. Crop Science, 51, 84-95. [7]Griffiths S, Simmonds J, Leverington M, Wang Y, Fish L, Sayers L, Alibert L, Orford S, Wingen L, Snape J. 2012. Meta-QTL analysis of the genetic control of crop height in elite European winter wheat germplasm. Molecular Breeding, 29, 159-171. [8]Groos C, Bervas E, Charmet G. 2004. Genetic analysis of grain protein content, grain hardness and dough rheology in a hard×hard bread wheat progeny. Journal of Cereal Science, 40, 93-100. [9]Heidari B, Sayed-Tabatabaei B E, Saeidi G, Kearsey M, Suenaga K. 2011. Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat, Genome, 54, 517-527. [10]Hong Y H, Xiao N, Zhang C, Su Y, Chen J M. 2009. Principle of diversity arrays technology (DArT) and its applications in genetic research of plants. Hereditas, 31, 359-364. [11]Huang X Q, Cloutier S, Lycar L, LRadovanovic N, Humphreys D G, Noll J S, Somers D J, Brown P D. 2006. Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theoretical and Applied Genetics, 113, 753-766. [12]Jaccoud D, Peng K, Feinstein D, Kilian A. 2001. Diversity arrays: a solid state technology for sequence information independent genotyping. Nucleic Acids Research, 29, e25. Kuchel H, Langridge P, Mosionek L, Williams K, Jefferies S P. 2006. The genetic control of milling yield, dough rheology and baking quality of wheat. Theoretical and Applied Genetics, 112, 1487-1495. [13]Kunert A, Naz A A, Dedeck O, Pillen K, Léon J. 2007. ABQTL analysis in winter wheat: I. Synthetic hexaploid wheat (T. turgidum ssp. dicoccoides×T. tauschii) as a source of favourable alleles for milling and baking quality traits. Theoretical and Applied Genetics, 115, 683-695. [14]Lehmensiek A, Eckermann P J, Verbyla A P, Appels R, Sutherland M W, Martin D, Daggard G E. 2006. Flour yield QTLs in three Australian doubled haploid wheat populations. Australian Journal of Agricultural Reseach, 57, 1115-1122. [15]Liu D C, Gao M Q, Guan R X, Li R Z, Cao S H, Guo X L, Zhang A M. 2002. Mapping quantitative trait loci for plant height in wheat (Triticum aestivum L.) using a F2:3 population. Acta Genetica Sinica, 29, 706-711. [16]Liu S B, Zhou R H, Dong Y C, Li P, Jia J Z. 2006. Development, utilization of introgression lines using a synthetic wheat as donor. Theoretical and Applied Genetics, 112, 1360-1373. [17]Ma J, Li H B, Zhang C Y, Yang X M, Liu Y X, Yan G J, Liu C J. 2010. Identification and validation of a major QTL conferring crown rot resistance in hexaploid wheat. Theoretical and Applied Genetics, 120, 1119-1128. [18]Ma W J, Sutherland M W, Kammholz S, Banks P, Brennan P, Bovill W, Daggard G. 2007. Wheat flour protein content and water absorption analysis in a doubled haploid population. Journal of Cereal Science, 45, 302-308. [19]Marza F, Bai G H, Carver B F, Zhou W C. 2006. Quantitative trait loci for yield and related traits in the wheat population Ning7840×Clark. Theoretical and Applied Genetics, 112, 688-698. [20]McCartney C A, Somers D J, Humphreys D G, Lukow O, Ames N, Noll J, Cloutier S, McCallum B D. 2005. Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452בAC Domain’. Genome, 48, 870-883. [21]McCartney C A, Somers D J, Lukow O, Ames N, Noll J, Cloutier S, Humphreys D G, McCallum B D. 2006. QTL analysis of quality traits in the spring wheat cross RL4452בAC Domain’. Plant Breeding, 125, 565-575. [22]Miura H, Parker B B, Snape J W. 1992. The location of major genes and associated quantitative trait loci on chromosome arm 5BL of wheat. Theoretical and Applied Genetics, 85, 197-204. [23]Peleg Z, Saranga Y, Suprunova T, Ronin Y, Röder M S, Kilian A, Korol A B, Fahima T. 2008. High-density genetic map of durum wheat×wild emmer wheat based on SSR and DArT markers. Theoretical and Applied Genetics, 117, 103-115. [24]Perretant M R, Cadalen T, Charmet G, Sourdille P, Nicolas P, Boeuf C, Tixier M H, Branlard G, Bernard S, Bernard M. 2000. QTL analysis of bread-making quality in wheat using a doubled haploid population. Theoretical and Applied Genetics, 100, 1168-1175. [25]Prasad M, Varshney R K, Kumar A, Balyan H S, Sharma P C, Edwards K J, Singh H, Dhaliwal H S, Roy J K, Gupta P K. 1999. A microsatellite marker associated with a QTL for grain protein content on chromosome arm 2DL of bread wheat. Theoretical and Applied Genetics, 99, 341-345. [26]Pshenichnikova T A, Ermakova M F, Chistyakova A K, Shchukina L V, Berezovskaya E V, Lochwasser U, Röder M, Börner A. 2008. Mapping of the quantitative trait loci (QTL) associated with grain quality characteristics of the bread wheat grown under different environmental conditions. Russian Journal of Genetics, 44, 74-84. [27]Quarrie S A, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C, Steele N, Pljevljakusiæ D E, Waterman E, Weyen J, et al. 2005. A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese spring×SQ1 and its use to compare QTLs for grain yield across a range of environments. Theoretical and Applied Genetics, 110, 865-880. [28]Sadeque A, Turner M A. 2010. QTL analysis of plant height in hexaploid wheat doubled haploid population. Thai Journal of Agricultural Science, 43, 91-96. [29]Semagn K, Bjørnstad Å, Skinnes H, Marøy A G, Tarkegne Y, William M. 2006. Distribution of DArT, AFLP, and SSR markers in a genetic linkage map of a doubledhaploid hexaploid wheat population. Genome, 49, 545-555. [30]Smith N, Guttieri M, Souza E, Shoots J, Sorrells M, Sneller C. 2011. Identification and validation of QTL for grain quality traits in a cross of soft wheat cultivars Pioneer Brand 25R26 and Foster. Crop Science, 51, 1424-1436. [31]Sourdille P, Perretant M R, Charmet G, Leroy P, Gautier M F, Joudrier P, Nelson J C, Sorrels M E, Bernard M. 1996. Linkage between RFLP markers and genes affecting kernel hardness in wheat. Theoretical and Applied Genetics, 93, 580-586. [32]Sourdille P, Tixier M H, Charmet G, Gay G, Cadalen T, Bernard S, Bernard M. 2000. Location of genes involved in ear compactness in wheat (Triticum aestivum) by means of molecular markers. Molecular Breeding, 6, 247-255. [33]Suenaga K, Khairallah M, William H M, Hoisington D A. 2005. A new intervarietal linkage map and its application for quantitative trait locus analysis of “gigas” features in bread wheat. Genome, 48, 65-75. [34]Sun H Y, Lü J H, Fan Y D, Zhao Y, Kong F M, Li R J, Wang H G, Li S S. 2008. Quantitative trait loci (QTLs) for quality traits related to protein and starch in wheat. Progress in Nature Science, 18, 825-831. [35]Suprayogi Y, Pozniak C J, Clarke F R, Clarke J M, Knox R E, Singh A K. 2009. Identification and validation of quantitative trait loci for grain protein concentration in adapted Canadian durum wheat populations. Theoretical and Applied Genetics, 119, 437-448. [36]Turner A S, Bradburne R P, Fish L, Snape J W. 2004. New quantitative trait loci influencing grain texture and protein content in bread wheat. Journal of Cereal Science, 40, 51-60. [37]Varshney R K, Prasad M, Roy J K, Harjit-Singh N K, Dhaliwal H S, BalyanH S, Gupta P K. 2000. Identification of eight chromosomes and a microsatellite marker on 1AS associated with QTL for grain weight in bread wheat. Theoretical and Applied Genetics, 100, 1290-1294. [38]Verma V, Worland A J, Sayers E J, Fish L, Caligari P D S, Snape J W. 2005. Identification and characterization of quantitative trait loci related to lodging resistance and associated trait in bread wheat. Plant Breeding, 124, 234-241. [39]Wang J S, Liu W H, Wang H, Li L H, Wu J, Yang X M, Li X Q, Gao A N. 2011. A QTL mapping of yield-related traits in the wheat germplasm 3228. Euphytica, 177, 277-292. [40]Wang S C, Bastes C J, Zeng Z B. 2005. Windows QTL Cartographer 2.5[CP]. Department of Statistics, North Carolina State University, Raleigh, N C, USA. Yang J, Hu C, Hu H, Yu R, Xia Z, Ye X, Zhu J. 2008. QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations. Bioinformatics, 24, 721-723. [41]Yang J, Zhu J, Williams R W. 2007. Mapping the genetic architecture of complex traits in experimental populations. Bioinformatics, 23, 1527-1536. [42]Zanetti S, Winzeler M, Feuillet C, Keller B, Messmer M. 2001. Genetic analysis of bread-making quality in wheat and spelt. Plant Breeding, 120, 13-19. [43]Zhang L P, Xu X Q, Zhao C P, Shan F H, Yuan S H, Sun H. 2011. QTL analysis of plant height in photoperiodthermo sensitive male sterile wheat. Molecular Plant Breeding, 2, 92-97. |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
