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Acta Agron Sin ›› 2009, Vol. 35 ›› Issue (6): 1038-1043.doi: 10.3724/SP.J.1006.2009.01038

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Detection of Quantitative Trait Loci for Plant Height Using an Immortalized F2 Population in Wheat

WANG Yan,LI Zhuo-Kun,TIAN Ji-Chun*   

  1. Group of Quality Wheat Breeding of Key Laboratory of Crop Biology/Shandong Agricultural University Tai'an 271018,China
  • Received:2008-11-27 Revised:2009-02-17 Online:2009-06-12 Published:2009-04-16
  • Contact: TIAN Ji-Chun，E-mail:jctian@sdau.edu.cn;Tel:0538-8242040

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Abstract:

To study the genetic mechanism of wheat plant height, a set of doubled haploid (DH) lines were used to construct an immortalized F2 (IF2) population comprising 168 different crosses. The IF2 population was evaluated for plant height in 2007 cropping seasons in Tai’an and Liaocheng, Shandong province. Linkage map was constructed with 324 SSR markers covering the whole wheat genome, including 284 SSR, 37 ESTs loci, 1 ISSR loci and 2 HMW-GS loci, was constructed. This linkage map covered a total length of 2 485.7 cM with an average distance of 7.67 cM between adjacent markers. QTL analyses were performed using the software QTLNetwork version 2.0 based on the mixed linear model at P < 0.05. Four additive QTLs, 1 dominance QTL and pair of epistatic QTLs were detected, the total QTL effects detected for the plant height explained 20% of the phenotypic variation. One QTL qPh4D for plant height was identified on chromosome 4D, was identified on chromosome 2D, explaining 7.5% of the phenotypic variances. Dominance effect loci qPh2D was identified on chromosome 2D, explaining 1.6% of the phenotypic variances；Epistatic effects of loci was identified on chromosome 5B–6D, explaining 1.7% of the phenotypic variances . The results indicate additive effects, dominance effects and epistatic effects are important in genetics of wheat for plant height, which are also subjected to environmental modifications. These results further demonstrate that the use of IF2 groups QTL positioning research methods contribute to the molecular marker-assisted breeding.

Key words: Common wheat, IF2, Plant height, QTL


[1] Sears E R. The aneuploids of common wheat. Univ Missouri Res Bull, 1954, 572: 1-58

[2] Kuspira J, Unrau J. Genetic analyses of certain characters in common wheat using whole chromosome substitution lines. Can J Plant Sci, 1957, 37: 300-326

[3] Snape J W, Law C N, Worland A J. Whole chromosome analysis of height in wheat. Heredity, 1977, 38: 25-36

[4] McIntosh R A, Hart G E, Devos K M, Gale M D, Rogers W J. Catalogue of gene symbols for wheat, proceedings of the 9th international wheat genetics symposium. Saskatoon, Canada: University Extension Press, 1998. pp 77-78

[5] Huang X Q, Coster H, Ganal M W, Roder M S. Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet, 2003, 106:1379-1389

[6] Liu D-C(刘冬成), Gao M-Q(高睦枪), Guan R-X(关荣霞), Li R-Z(李润枝), Cao S H(曹双河), Guo X L(郭小丽), Zhang A M(张爱民). Mapping quantitative trait loci for plant height in wheat (Triticum aestivum L.) using a F2:3 population. Acta Genet Sin(遗传学报), 2002, 29: 706-711 (in English with Chinese abstract)

[7] Cadalen T, Sourdille P, Charmet G, Tixier M H, Gay G, Boeuf C, Bernard S, Leroy P, Bernard M. Molecular markers linked to genes affecting plant height in wheat using a double haploid population. Theor Appl Genet, 1998, 96: 933-940

[8] Sourdille P, Cadalen T, Guyomarc H H, Snape J W, Perretant M R, Charmet G, Boeuf C, Bernard S, Bernard M. An update of the Courtot × Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat. Theor Appl Genet, 2003, 106: 530-538

[9] Zhang K P, Tian J C, Zhao L, Wang S S. Mapping QTLs with epistatic effects and QTL × environment interactions for plant height using a doubled haploid population in cultivated wheat.JGenetGenomics, 2008, 35: 119-127

[10] Keller M, Karutz C H, Schmid J E, Stamp P, Winzeler M, Keller B, Messmer M M. Quantitative trait loci for lodging resistance in a segregating wheat × spelt population. Theor Appl Genet, 1999, 98: 1171-1182

[11] Borner A, Schumann E, Furste A, Coster H, Leithold B, Röder M S, Weber W E. Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet, 2002, 105: 921-936

[12] Shah M M, Gill K S, Baenziger P S, Yen Y, Kaeppler S M, Ariyarathne H M. Molecular mapping of loci for agronomic traits on chromosome 3A of bread wheat. Crop Sci, 1999, 39: 1728-1732

[13] Araki E, Miura H, Sawada S. Identification of genetic loci affecting amylose content and agronomic traits on chromosome 4A of wheat. Theor Appl Genet, 1999, 98: 977-984

[14] Kato K, Miura H, Sawada S. QTL mapping of genes controlling ear emergence time and plant height on chromosome 5A of wheat. Theor Appl Genet, 1999, 98: 472-477

[15] Hua JP, Xing YZ, Xu CG, Sun XL, Yu SB, Zhang QF. Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance. Genetics, 2002, 162: 1885-1895

[16] Tang J-H(汤继华), Yan J-B(严建兵), Ma X-Q(马西青), Teng W-T(滕文涛), Meng Y-J(孟义江), Dai J-R(戴景瑞), Li J-S(李建生). Genetic dissection for grain yield and its components using an immortalized F2 population in maize. Acta Agron Sin(作物学报), 2007, 33: 1299-1303(in Chinese with English abstract)

[17] Chen W, Zhang Y, Liu X P, Chen B Y, Tu J X, Fu T D. Detection of QTL for six yield-related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations. Theor Appl Genet, 115: 849-858

[18] Ma Z Q, Zhao D M, Zhang C Q, Zhang Z Z, Xue S L, Lin F, Kong Z X, Tian D G, Luo Q Y. Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F2 populations. Mol Gen Genet, 277: 31-42

[19] Wang D L, Zhu J, Li Z K, Paterson A H. Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet,1999, 99: 1255-1264

[20] Yang J, Zhu J. Predicting superior genotypes in multiple environments based on QTL effects. Theor Appl Genet, 2005, 110: 1268-1274

[21] Hai Y(海燕), Kang M-H(康明辉). Breeding of a new wheat variety Huapei 3 with high yield and early maturing. Henan Agric Sci (河南农业科学), 2007, (5): 36-37 (in Chinese)

[22] Guo C-Q(郭春强), Bai Z-A(柏志安), Liao P-A(廖平安), Jin W-K(靳文奎). New high quality and yield wheat variety Yumai 57. China Seed Ind(中国种业), 2004, (4): 54 (in Chinese)

[23] Hua J P, Xing Y Z, Wu W R, Xu C G, Sun X L, Yu S B, Zhang Q F. Single-locus heterotic effects and dominance by dominance interaction can adequately explain the genetic basis of heterosis in an elite hybrid. Proc Natl Acad Sci USA, 2003, 100: 2574-2579

[24] Lincoln S, Daly M, Lander E. Mapping genetic mapping with MAPMAKER/EXP3.0b. Cambridge: MA: Whitehead Institute Technical Report, 1992
Cao G, Zhu J, He C, Gao Y, Yan J, Wu P. Impact of epistasis and QTL × environment interaction on the developmental behavior of plant height in rice (Oryza sativa L.). Theor Appl Genet, 2001, 103: 153-160
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