Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2009, Vol. 35 ›› Issue (7): 1268-1273.doi: 10.3724/SP.J.1006.2009.01268

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

Genotype Analysis and QTL Mapping for Tolerance to Low Temperature in Germination by Introgression Lines in Soybean

JIANG Hong-Wei1,2,LI Can-Dong1,2,LIU Chun-Yan1,2,ZHANG Wen-Bo2,QIU Peng-Cheng2,LI Wen-Fu12,GAO Yun-Lai12,HU Guo-Hua13*,CHEN Qing-Shan2*   

  1. 1Land Reclamation Research & Breeding Centre of Heilongjiang,Harbin 150090,China;2College of Agriculture,Northeast Agricultural University,Harbin 150030 China;3 The National Research Center of Soybean Engineering and Technology,Harbin 150050,China
  • Received:2008-10-30 Revised:2009-03-23 Online:2009-07-12 Published:2009-05-19
  • Contact: HU Guo-Hua, E-mail: Hugh757@vip.163.com, Tel: 0451-55199475; CHEN Qing-Shan, E-mail: qshchen@126.com, Tel: 0451-55191945
  • About author:E-mail: j444444@yahoo.cn

PDF

1740

Cited

31

Abstract:

Northeast of China is the main soybean production area. Low temperature is one of the main factors to reduce soybean yield and to limit soybean production spreading to north regions. Shortening the growth stage is considered as one way of solving the problem, but the effective way is to breed cultivars with low temperature to tolerance. The identification of low-temperature tolerance germplasm is the basis for soybean breeding. A set of backcross introgression lines were constructed with Hongfeng 11 as recurrent parent and Clark as donor parent, 46 individuals were screened out, which were more tolerant than recurrent parent Hongfeng 11 under low temperature condition. Fifty individuals from BC1F4 were used as control (random population). Fourteen QTLs on ten linkage groups for tolerance to low temperature in germination were detected with genotype analysis by chi-test and one-way ANOVA. Twelve excessive-introgression alleles from donor parent with positive effect were acquired by chi-square and 5 alleles by ANOVA. Satt237, SOYPRP1, and Satt540 were detected by the two methods, so the three loci should be the main effect QTL and more believable. Introgression lines were used for mapping QTL related with tolerance to low temperature in germination, and the molecular mechanism could be studied in the further research on the platform established in this study for molecular assisted breeding.

Key words: Soybean, Introgression lines, Germination stage, Low temperature tolerance, QTL mapping

[1] Shan C-Y(单彩云). Screening and Proteomics Research of Soybean Low Temperature Tolerance Germplasm. MS Dissertation of Northeast Agricultural University, 2008. pp 30-31 (in Chinese with English abstract)
[2] Hu G-Y(胡国玉). Genetic Analysis and Molecular Marker on Chilling Tolerance of Soybean in Early Stage. MS Dissertation of Nanjing Agricultural University, 2005. pp 44-46 (in Chinese with English abstract)
[3] Song Y(宋友), Wang J-A(王继安). Identification of chilling tolerance: In: Early soybean varieties at germination and seeding growth stages. Soybean Sci (大豆科学), 2006, 25(3): 99-303 (in Chinese with English abstract)
[4] Wang P(王萍), Tao D(陶丹), Song H-X(宋海星), Song L-Q(宋立泉), Zhang Y-H(张玉华), Yuan Y(袁鹰), Ran Y-Z(冉彦中), Yin T-F(尹田夫). The response of soybeans to low temperature at blooming stage. Crops (作物杂志), 2000, (2): 5-6 (in Chinese)
[5] Eshed Y, Zamir D. An introgression line population of Lycopersicon pernellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL. Genetics, 1995, 141: 1147-1162
[6] Fulton T M, Nelson J C, Tanksley S D. Introgression and DNA marker analysis of Lycopersicon peruvianum, a wild relative of the cultivated tomato into Lycopersicon esculentum, followed through three successive backcross generations. Theor Appl Genet, 1997, 95: 895-902
[7] Zamir D, Eshed Y. Tomato Genetics and Breeding Using Nearly Isogenic Introgression Lines Derived from Wild Species. In: Paterson A H ed. Molecular Dissection of Complex Traits. Boca Raton, FL: CRC Press, 1998. pp 207-217
[8] Zhang Y S, Luo L J, Xu C G, Zhang Q F, Xing Y Z. Quantitative trait loci for panicle size, heading date and plant height co-segregating in trait-performance derived near-isogenic lines of rice (Oryza sativa). Theor Appl Genet, 2006, 113: 361-368
[9] Steele K A, Price A H, Shashidhar H E, Witcombe J R. Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety. Theor Appl Genet,2006, 112: 208-221
[10] Chen B-X(陈冰嬬), Shi Y-R(石英尧), Cui J-T(崔金腾), Qian Y-L(钱益亮), Liu H-Y(刘海燕), Zhang L-K(张力科), Wang H(王辉), Gao Y-M(高用明), Zhu L-H(朱苓华), Li Z-K(黎志康). QTL detection of grain size and shape with BC2F2 advanced backcross population of rice (Oryza sativa L.). Acta Agron Sin(作物学报), 2008, 34(8): 1299-1307 (in Chinese with English abstract)

[11] Sun Y(孙勇), Zang J-P(藏金萍), Wang Y(王韵), Zhu L-H(朱苓华), Xu J-L(徐建龙), Li Z-K(黎志康). Mining favorable salt-tolerant QTL from rice germplasm using a backcrossing introgression line population. Acta AgronSin (作物学报), 2007, 33(10): 1611-1617 (in Chinese with English abstract)
[12] Zhao Y-F(赵永锋), Chen J-T(陈景堂), Zhu L-Y(祝丽英), Jia X-Y(贾晓艳), Huang Y-Q(黄亚群), Liu Z-Z(刘志增). Status of research on application and establishment of SSILs in maize. J Maize Sci (玉米科学), 2006, 14(3): 17-19(in Chinese with English abstract)
[13] Fu D-X (傅大雄), Ruan R-W(阮仁武), Liu D-J(刘大军), Zong X-F(宗学凤), Yin J-M(殷家明), Hu K(胡奎). Study of dwarfing wheat sources using near isogenic lines. Sci Agric Sin (中国农业科学), 2007, 40(4): 655-664 (in Chinese with English abstract)
[14] Ramsay L D, Jennings D E, Bohuon E J R, Arthur A E, Lydiate D J, Kearsey M J, Marshall D F. The construction of a substitution library of recombinant backcross lines in Brassica oleracea for the precision mapping of quantitative trait loci. Genome, 1996, 39: 558-567
[15] Howell P M, Marshall D J. Towards developing intervarietal substitution lines in Brassica napus using marker-assisted selection. Genome, 1996, 39: 348-358
[16] Burns M J, Barnes S R, Boeman J C X. QTL analysis of an intervarietal set of substitution line in Brassica napus: (i) Seed oil content and fatty acid composition. Heredity, 2003, 90: 39-48
[17] Schlotterer C. Hitchhiking mapping-functional genomics from the population genetics from the population genetics perspective. Trends Genet, 2003, 19: 32-38
[18] Choi I Y, Hyten D L, Matukumalli L K, Song Q J, Chaky J M, Quigley C V, Chase K, Lark K G, Reiter R S, Yoon M S, Hwang E Y, Yi S I, Young N D, Shoemaker R C, van Tassell C P, Specht J E, Cregan P B. A soybean transcript map: Gene distribution, haplotype and single-nucleotide polymorphism analysis. Genetics, 2007, 176: 685-696
[19] Harr B, Kauer M, Schlotterer C, Hitchhiking mapping: A population-based fine-mapping strategy for adaptive mutations in Drosophilamelanogaster. Proc Natl Acad Sci USA, 2002, 99: 32-28
Zheng T-Q(郑天清), Xu J-L(徐建龙), Fu B-Y(傅彬英), Gao Y-M(高用明), Veruka S, Lafitte H R, Zhai H-Q(瞿虎渠), Wan J-M(万建民), Li Z-K(黎志康). Application of Genetic hitch-hiking and ANOVA in identification of loci for drought tolerance in populations of rice from directional selection. Acta Agron Sin (作物学报), 2007, 33(5): 799-804 (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] 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.
[13] 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.
[14] 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.
[15] 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.
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