Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2009, Vol. 35 ›› Issue (12): 2139-2149.doi: 10.3724/SP.J.1006.2009.02139

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

  QTL Mapping of Protein Related Traits in Soybean[Glycine max (L.) Merr.]

LIU Shun-Hu1,4,ZHOU Rui-Bao2,*, YU De-Yue1,CHEN Shou-Yi3,GAI Jun-Yi1,*   

  1. 1Soybean Research Institute of Nanjing Agricultural University,National Center for Soybean Improvement,and National Key Laboratory for Crop Genetics and Germplasm Enhancement,Nanjing 210095,China;2Soybean Processing Research Institute,Henan University of Technology,zhengzhou 450012,China,3Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing 100101;4Shandong Jining College,Qufu 273155,China
  • Received:2009-05-07 Revised:2009-09-24 Online:2009-12-10 Published:2009-10-13
  • Contact: GAI Jun-Yi，E-mail: sri@njau.edu.cn; Tel: 025-84395405;ZHOU Rui-Bao，E-mail: rbzhou0615@163.com

PDF

1514

Cited

10

Abstract:

Soybean processing industry places emphasis on the quality of soybean protein which is related to the protein components, mainly 11S, 7S and 11S/7S, and their subunit constituents. In the improvement of soybean protein quality, the knowledge of genetic structure of the traits related to protein quality is of great importance. Therefore, the present paper was aimed at mapping QTLs of 16 traits, including protein content, protein plus fat content, fat content, 11S, 7S, 11S/7S, and subunit groups. Two populations, RIKY population with 184 recombinant inbred lines derived from Kefeng 1×Nannong 1138-2 and BIEX population with 114 BC1F2 lines derived from (Essex×ZDD2315) ×ZDD2315, were used to map QTLs with the softwares of composite interval mapping (CIM), multiple interval mapping (MIM) of WinQTL Cartographer Ver. 2.5 and the inclusive composite interval mapping (ICIM) of IciMapping. The results showed that there were totally 17+ QTLs detected with 11 for protein content, fat content and total content of protein and fat, and 1+ and 3+ for 11S subunit groups and 7S subunit groups, respectively, in RIKY, as well as totally 21+ detected with only 2+ for protein content, fat content and protein plus fat content, but 9+ and 6+ for 11S subunit groups and 7S subunit groups, respectively, in BIEX. There was no shared QTL detected for all 16 traits in both populations, indicating that the 16 traits between RIKY and BIEX have completely different genetic systems, and there existed obvious genetic differences between two parents of RIKY in protein content, fat content and protein plus fat content but less genetic differences in 11S subunit groups and 7S subunit groups, and those of BIEX were on the contrary. The group of protein content, fat content and protein plus fat content and the group of 11S, 7S and 11S/7S had common QTLs, showing their common genetic base, but there were no common QTLs in the groups of 11S subunit and 7S subunit. The results from QTL mapping and segregation analysis showed jointly that both major genes and minor genes contributed a large part of phenotypic variations for all 16 traits, suggesting that both major genes and minor genes should be considered in the breeding for protein-related traits.

Key words: Soybean, Protein content, Protein plus fat content, 11S, 7S, 11S/7S, Subunit group, QTL mapping

[1] Diers B W, Shoemaker R C. Restriction fragment length polymorphismanalysis of soybean fatty acid content. JAOCS, 1992, 69: 1242-1244
[2] Chapman A, Pantalone V R, Ustun A. Quantitative trait loci for agronomic and seed quality traits in an F2 and F4:6 soybean population. Euphytica, 2003, 129: 387-393
[3] Hyten D L, Pantalone V R, Sams C E, Saxton A M, Landau-Ellis D, Stefaniak T R, Schmidt M E. Seed quality QTL in a prominent soybean population. Theor Appl Genet, 2004, 109: 552-561
[4] Panthee D R, Pantalone V R, West D R, Saxton A M, Sams C E. Quantitative trait loci for seed protein and oil concentration, and seed size in soybean. Crop Sci, 2005, 45: 2015-2022
[5] Zhu X-L(朱晓丽). Constructing of Genetic Linkage Map and QTL Mapping of Important Agronomic Traits in Two Soybean Populations. MS Dissertation of Northeast Agricultural University, 2006 (in Chinese with English abstract)
[6] Lü Z-Z(吕祝章). Construction of Soybean Genetic Map, QTL Mapping of Agronomic Traits, and Identification on Excellent Gene. PhD Dissertation of Shandong Agricultural University, 2006 (in Chinese with English abstract)
[7] Chen Q-S(陈庆山), Zhang Z-C(张忠臣), Liu C-Y(刘春燕), Xin D-W(辛大伟), Shan D-P(单大鹏), Qiu H-M(邱红梅), Shan C-Y(单彩云). QTL analysis of major agronomic traits in soybean. Sci Agric Sin, 2007, 40(1): 41-47 (in Chinese with English abstract)
[8] Nielsen N C, Dickinson C D, Cho T J, Thanh V H, Scallon B J, Fischer R L, Sims T L,Drews G N, Goldberg R B. Characterization of the glycinin gene family. Plant Cell, 1989, 1: 313-328
[9] Chen Z, Shoemaker R C. Four genes affecting seed traits in soybean map to linkage group F. J Hered, 1998, 89: 211-215
[10] Beilinson V, Chen Z, Shoemaker R C, Fischer R L, Goldberg R B, Nielsen N C. Genomic organization of glycinin genes in soybean. Theor Appl Genet, 2002, 104: 1132-1140
[11] Panthee D R, Kwanyuen P, Sams C E, West D R, Saxton A M, Pantalone V R. Quantitative trait loci for β-conglycinin (7S) and glycinin (11S) fractions of soybean storage protein. J Am Oil Chem Soc, 2004, 81: 1558-9331
[12] Liu S H, Zhou R B, Tian S J, Gai J Y. A Study on subunit groups of soybean protein extracts under SDS-PAGE. J Am Oil Chem Soc, 2007, 84: 793-801
[13] Wang S C, Basten C J, Zeng Z B. Cartographer Ver.2.5.
[2005]
[2009] http://statgen.ncsu.edu/ qtlcart/WQTLCart.htm

[14] Li H H, Ye G Y, Wang J K. A modi?ed algorithm for the improvement of composite interval mapping. Genetics, 2007, 175: 361-374

[15] Churchill G A, Doerge R W. Empirical threshold values for quantitative trait mapping. Genetics, 1994, 138: 963-971

[16] Doerge R W, Churchill G A. Permutation tests for multiple loci affecting a quantitative character. Genetics, 1996, 142: 285-294

[17] Collard B C Y, Jahufer M Z Z, Brouwer J B, Pang E C K. An introduction to markers, quantitative trait loci (QTL) mapping and marker assisted selection for crop improvement: The basic concepts. Euphytica, 2005, 142: 169-196

[18] Liu S-H(刘顺湖), Zhou R-B(周瑞宝), Gai J-Y(盖钧镒). Segregation Analysis for Inheritance of Protein Related Traits in Soybean
[Glycine max (L.) Merr.]. Acta Agron Sin (作物学报), 2009, 35(11)(in press) (in Chinese with English abstract)

[19] Liu Y(刘莹). Identification of tolerance to rhizosperical stresses and inheritance and QTL locating of related root traits in soybean
[Glycine max (L) Merr.]. PhD Dissertation of Nanjing Agricultural University, 2005

[20] Luo W-G(卢为国). Soybean Cyst Nematode (Heterodera glycines Ichinohe) Races and Inheritance and Gene Mapping of Resistance of Soybean to the Disease in Huang-Huai Valley. PhD Dissertation of Nanjing Agricultural University, 2005(in Chinese with English abstract)
[21] Zheng Y-Z(郑永战). Variability, Inheritance, and QTL Mapping of Fatty Traits in Chinese Germplasm of Soybean. PhD Dissertation of Nanjing Agricultural University, 2006 (in Chinese with English abstract)
[1] CHEN Ling-Ling, LI Zhan, LIU Ting-Xuan, GU Yong-Zhe, SONG Jian, WANG Jun, QIU Li-Juan. Genome wide association analysis of petiole angle based on 783 soybean resources (Glycine max L.) [J]. Acta Agronomica Sinica, 2022, 48(6): 1333-1345.
[2] YANG Huan, ZHOU Ying, CHEN Ping, DU Qing, ZHENG Ben-Chuan, PU Tian, WEN Jing, YANG Wen-Yu, YONG Tai-Wen. Effects of nutrient uptake and utilization on yield of maize-legume strip intercropping system [J]. Acta Agronomica Sinica, 2022, 48(6): 1476-1487.
[3] YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102.
[4] LI A-Li, FENG Ya-Nan, LI Ping, ZHANG Dong-Sheng, ZONG Yu-Zheng, LIN Wen, HAO Xing-Yu. Transcriptome analysis of leaves responses to elevated CO2 concentration, drought and interaction conditions in soybean [Glycine max (Linn.) Merr.] [J]. Acta Agronomica Sinica, 2022, 48(5): 1103-1118.
[5] PENG Xi-Hong, CHEN Ping, DU Qing, YANG Xue-Li, REN Jun-Bo, ZHENG Ben-Chuan, LUO Kai, XIE Chen, LEI Lu, YONG Tai-Wen, YANG Wen-Yu. Effects of reduced nitrogen application on soil aeration and root nodule growth of relay strip intercropping soybean [J]. Acta Agronomica Sinica, 2022, 48(5): 1199-1209.
[6] WANG Hao-Rang, ZHANG Yong, YU Chun-Miao, DONG Quan-Zhong, LI Wei-Wei, HU Kai-Feng, ZHANG Ming-Ming, XUE Hong, YANG Meng-Ping, SONG Ji-Ling, WANG Lei, YANG Xing-Yong, QIU Li-Juan. Fine mapping of yellow-green leaf gene (ygl2) in soybean (Glycine max L.) [J]. Acta Agronomica Sinica, 2022, 48(4): 791-800.
[7] LI Rui-Dong, YIN Yang-Yang, SONG Wen-Wen, WU Ting-Ting, SUN Shi, HAN Tian-Fu, XU Cai-Long, WU Cun-Xiang, HU Shui-Xiu. Effects of close planting densities on assimilate accumulation and yield of soybean with different plant branching types [J]. Acta Agronomica Sinica, 2022, 48(4): 942-951.
[8] DU Hao, CHENG Yu-Han, LI Tai, HOU Zhi-Hong, LI Yong-Li, NAN Hai-Yang, DONG Li-Dong, LIU Bao-Hui, CHENG Qun. Improving seed number per pod of soybean by molecular breeding based on Ln locus [J]. Acta Agronomica Sinica, 2022, 48(3): 565-571.
[9] ZHOU Yue, ZHAO Zhi-Hua, ZHANG Hong-Ning, KONG You-Bin. Cloning and functional analysis of the promoter of purple acid phosphatase gene GmPAP14 in soybean [J]. Acta Agronomica Sinica, 2022, 48(3): 590-596.
[10] WANG Juan, ZHANG Yan-Wei, JIAO Zhu-Jin, LIU Pan-Pan, CHANG Wei. Identification of QTLs and candidate genes for 100-seed weight trait using PyBSASeq algorithm in soybean [J]. Acta Agronomica Sinica, 2022, 48(3): 635-643.
[11] ZHANG Guo-Wei, LI Kai, LI Si-Jia, WANG Xiao-Jing, YANG Chang-Qin, LIU Rui-Xian. Effects of sink-limiting treatments on leaf carbon metabolism in soybean [J]. Acta Agronomica Sinica, 2022, 48(2): 529-537.
[12] SONG Li-Jun, NIE Xiao-Yu, HE Lei-Lei, KUAI Jie, YANG Hua, GUO An-Guo, HUANG Jun-Sheng, FU Ting-Dong, WANG Bo, ZHOU Guang-Sheng. Screening and comprehensive evaluation of shade tolerance of forage soybean varieties [J]. Acta Agronomica Sinica, 2021, 47(9): 1741-1752.
[13] CAO Liang, DU Xin, YU Gao-Bo, JIN Xi-Jun, ZHANG Ming-Cong, REN Chun-Yuan, WANG Meng-Xue, ZHANG Yu-Xian. Regulation of carbon and nitrogen metabolism in leaf of soybean cultivar Suinong 26 at seed-filling stage under drought stress by exogenous melatonin [J]. Acta Agronomica Sinica, 2021, 47(9): 1779-1790.
[14] ZHANG Ming-Cong, HE Song-Yu, QIN Bin, WANG Meng-Xue, JIN Xi-Jun, REN Chun-Yuan, WU Yao-Kun, ZHANG Yu-Xian. Effects of exogenous melatonin on morphology, photosynthetic physiology, and yield of spring soybean variety Suinong 26 under drought stress [J]. Acta Agronomica Sinica, 2021, 47(9): 1791-1805.
[15] YU Tao-Bing, SHI Qi-Han, NIAN-Hai , LIAN Teng-Xiang. Effects of waterlogging on rhizosphere microorganisms communities of different soybean varieties [J]. Acta Agronomica Sinica, 2021, 47(9): 1690-1702.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd