Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (07): 1151-1158.doi: 10.3724/SP.J.1006.2011.01151

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

QTL Analysis of Root Traits of Soybean at Seedling Stage

ZHOU Rong,CHEN Hai-Feng,WANG Xian-Zhi,WU Bao-Duo,CHEN Shui-Lian,ZHANG Xiao-Juan,WU Xue-Jun,YANG Zhong-Lu,QIU De-Zhen,JIANG Mu-Lan,ZHOU Xin-An*   

  1. Oil Crops Research Institute, Chinese Academy of Agricultural Sciences / Key Laboratory of Oil Crops Biology of the Ministry of Agriculture, Wuhan 430062, China
  • Received:2010-12-28 Revised:2011-03-27 Online:2011-07-12 Published:2011-05-11
  • Contact: 周新安, E-mail: xazhou@public.wh.hb.cn, Tel: 027-86711563

PDF

1446

Cited

8

Abstract: Root system plays important roles in plant growth and development, including uptaking water and nutrient, resisting biotic and abiotic stresses, and finally influencing yield and quality. A number of QTLs for shoot traits have been detected using different populations in soybean [Glycine max (L.) Merr], but rarely for root trait. The aim of the present study was to identify QTLs for some root traits at seedling stage in soybean. A total of 165 recombinant inbred lines (RILs) derived from the cross between Zhongdou 29 and Zhongdou 32 were used. Soybean seedlings were hydroponically cultured,root traits including main root length, number of lateral roots, root weight, root volume, and aerial part traits such as plant weight, shoot weight per plant, and ratio of root weight to shoot weight were measured at the stage of V2 (first trifoliolate leaf fully expanded). By composite interval mapping (CIM) method, twenty QTLs for roots and aerial part traits were mapped on eight chromosomes, including nine major-effect QTLs on chromosome 11 and 14 with 10.5–26.1% of the phenotypic variation. On chromosome 11 and 14, some QTLs for root traits and aerial part traits were clustered, which was consistent with the correlation analysis of phenotypic traits, indicating that the root traits are associated with the shoot traits.

Key words: Soybean, Root traits, Seedling stage, QTL mapping

[1]Keller M, Karutz Ch, 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
[2]Menchey E K, Aycock Jr M K. Anther-derived dihaploids for lodging improvement in tobacco. Crop Sci, 1998, 38: 698–701
[3]Tar’an B, Warkentin T, Somers D J, Miranda D, Vandenberg A, Blade S, Woods S, Bing D, Xue A, DeKoeyer D, Penner G. Quantitative trait loci for lodging resistance, plant height and partial resistance to mycosphaerella blight in field pea (Pisum sativum L.). Theor Appl Genet, 2003, 107: 1482–1491
[4]Inoue M, Gao Z S, Cai H W. QTL analysis of lodging resistance and related traits in Italian ryegrass (Lolium multiflorum Lam.). Theor Appl Genet, 2004, 109:1576–1585
[5]Zhou R(周蓉), Wang X-Z(王贤智), Chen H-F(陈海峰), Zhang X-J(张晓娟), Shan Z-H(单志慧), Wu X-J(吴学军), Cai S-P(蔡淑平), Qiu D-Z(邱德珍), Zhou X-A(周新安), Wu J-S(吴江生). QTL analysis of lodging and related traits in soybean. Acta Agron Sin (作物学报), 2009, 35(1): 57–65 (in Chinese with English abstract)
[6]Liu Y(刘莹), Gai J-Y(盖钧镒), Lü H-N(吕慧能), Wang Y-J(王永军), Chen S-Y(陈受宜). Identification of drought tolerance germplasm and inheritance and QTL Mapping of related root traits in soybean
[Glycine max (L) Merr.]. Acta Genet Sin (遗传学报), 2005, 32(8): 855–863 (in Chinese with English abstract)
[7]Caradus J R. Genetic control of phosphorus uptake and phosphorus status in plants. In: Genetic Manipulation of Crop Plants to Enhance Integrated Nutrient Management in Cropping System. Patancheru, India: ICRISAT Asia Centre, 1995. pp 55–74
[8]Pantalone V R, Buton J W, Carter T E Jr. Soybean fibrous root heritability and genotypic correlations with agronomic and seed quality traits. Crop Sci, 1996, 36: 1120–1125
[9]Tian P-Z(田佩占). Ecotypes of root system in soybean cultivars. Acta Agron Sin (作物学报), 1984, 10(3): 173–178 (in Chinese with English abstract)
[10]Liu Y(刘莹), Gai J-Y(盖钧镒), Lü H-N(吕慧能). Identification of rhizosphere abiotic stress tolerance and related root traits in soybean
[Glycine max (L) Merr.]. Acta Agron Sin (作物学报), 2005, 31(9): 1132–1137 (in Chinese with English abstract)
[11]Hudak C M, Patterson R P. Vegetative growth analysis of a drought-resistant soybean plant introduction. Crop Sci, 1995, 35: 464–471
[12]Hudak C M, Patterson R P. Root distribution and soil moisture depletion pattern of a drought-resistant soybean plant introduction. Agron J, 1996, 88: 478–485
[13]Pantalone V R, Rebetzke G J, Burton J W, Carter T E Jr. Phenotypic evaluation of root traits in soybean and applicability to plant breeding. Crop Sci, 1996, 36: 456–459
[14]Sloane R J, Patterson R P, Carter T E Jr. Field drought tolerance of a soybean plant introduction. Crop Sci, 1990, 30: 118–123
[15]Hoogenboom G M, Huck C M, Peterson R P. Root growth rate of soybean as affected by drought stress. Agron J, 1987, 79: 607–614
[16]King C A, Purcell L C, Brye K R. Differential wilting among soybean genotypes in response to water deficit. Crop Sci, 2009, 49: 290–291
[17]Sinclair T R, Zwieniecki M A, Holbrook N M. Low leaf hydraulic conductance associated with drought tolerance in soybean. Physiol Plant, 2008, 132: 446–451
[18]Manavalan L P, Guttikonda S K, Tran L S P, Nguyen H T. Physiological and molecular approaches to improve drought resistance in soybean. Plant Cell Physiol, 2009, 50: 1260–1276
[19]Liang Q(梁泉), Yin Y-P(尹元萍), Yan X-L(严小龙), Liao H(廖红). Genetic analysis of root characters in soybean using a recombinant inbred line population at two phosphorus levels. Mol Plant Breed (分子植物育种), 2009, 7(2): 321–329 (in Chinese with English abstract)
[20]Zhang Y L, Jia J H, Zhao Y Q, Gu S Y, XU J G. Screening index for low phosphorus tolerance at seedling stage. Agric Sci Technol, 2010, 11 :87–89
[21]Wang H-L(王宏林), Yu D-Y(喻德跃), Wang Y-J(王永军), Chen S-Y(陈受宜), Gai J-Y(盖钧镒). Mapping QTLs of soybean root weight with RIL population NJRIKY. Hereditas (遗传), 2004, 26(3): 333–336 (in Chinese with English abstract)
[22]Cui S-Y(崔世友), Geng L-Y(耿雷跃), Meng Q-C(孟庆长), Yu D-Y(喻德跃). QTL mapping of phosphorus deficiency tolerance in soybean (Glycine max L.) during seedling stage. Acta Agron Sin (作物学报), 2007, 33(3): 378–383 (in Chinese with English abstract)
[23]Liu Y(刘莹), Zhang M-C(张孟臣). Study on root trait related yield in soybean growing in summer and QTL mapping. J Hebei Univ Eng (Nat Sci Edn)(河北工程大学学报•自然科学版), 2010, 27(1): 65–69 (in Chinese with English abstract)
[24]Sun G-Y(孙广玉), He Y(何庸), Zhang R-H(张荣华), Zhang D-P(张代平). Studies on growth and activities of soybean root. Soybean Sci (大豆科学), 1996, 15(4): 317–321 (in Chinese with English abstract)
[25]Zhou R(周蓉), Chen H-F(陈海峰), Wang X-Z(王贤智), Zhang X-J(张晓娟), Shan Z-H(单志慧), Wu X-J(吴学军), Cai S-P(蔡淑平), Qiu D-Z(邱德珍), Zhou X-A(周新安), Wu J-S(吴江生). QTL analysis of yield, yield components, and lodging in soybean. Acta Agron Sin (作物学报), 2009, 35(5): 821–830 (in Chinese with English abstract)
[26]Zhou R(周蓉), Chen H-F(陈海峰), Wang X-Z(王贤智), Zhang X-J(张晓娟), Shan Z-H(单志慧), Wu X-J(吴学军), Qiu D-Z(邱德珍), Wu B-D(武宝朵), Sha A-H(沙爱华), Yang Z-L(杨中路), Zhou X-A(周新安). Dynamic analysis of QTL for plant height and stem diameter at different developmental stages in soybean. J Plant Genet Resour (植物遗传资源学报), 2010, 11(3): 349–359 (in Chinese with English abstract)
[27]Gai J-Y(盖钧镒). Experimentation Methods(试验统计方法), 3rd edn. Beijing: China Agriculture Press, 2000. pp 248–252 (in Chinese)
[28]Ma Y-H(马育华). Foundation of Statistical Genetics and Plant Breeding (植物育种的数量遗传学基础). Jiangsu: Jiangsu Sci & Tech Press, 1984. pp 442–445 (in Chinese)
[29]Wang S C, Basten C J, Zeng Z B. Windows QTL Cartographer 2.5 User Manual. Department of Statistics, North Carolina State University, Raleigh, NC, 2005 (http://statgen.ncsu.edu/qtlcart/ WQTLCart.htm)
[30]McCouch S R, Cho Y G, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T. Report o QTL nomenclature. Rice Genet Newsl, 1997, 14: 11–13
[31]Ray J D, Yu L X, Mccouch S R, Mackill D J, Toole T C O, Huang N, MeCouch S R. Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.). Theor Appl Genet, 1996, 92: 627–636
[32]Fang P(方萍), Wu P(吴平), Tao Q-N(陶勤南). QTLs for rice root morphological characters. Acta Agron Sin (作物学报), 1999, 25(2): 181–185 (in Chinese with English abstract)
[33]Li Z-K(李卓坤), Peng T(彭涛), Zhang W-D(张卫东), Xie Q-G(谢全刚), Tian J-C(田纪春). Analysis of QTLs for root trait at seedling stage using an “immortalized F2” population of wheat. Acta Agron Sin (作物学报), 2010, 36(3): 442–448 (in Chinese with English abstract)
[34]Lü C-X(吕彩霞), Guo J-Q(郭建秋), Wang Y(王英), Leng J-T(冷建田), Yang G-M(杨光明), Hou W-S(侯文胜), Wu C-X(吴存祥), Han T-F(韩天富). Identification, inheritance analysis, and QTL mapping of root and shoot traits in soybean variety PI471938 with tolerance to wilting. Acta Agron Sin (作物学报), 2010, 36(9): 1476–1483 (in Chinese with English abstract)
[35]Yang X-H(杨秀红), Wu Z-P(吴宗璞), Zhang G-D(张国栋). Study on soybean root system. J Northeast Agric Univ (东北农业大学学报), 2002, 33(2): 203–208 (in Chinese with English abstract)
[36]Lee S H, Park K Y, Lee H S, Park E H, Boerma H R. Genetic mapping of QTLs conditioning soybean sprout yield and Quality. Theor Appl Genet, 2001, 103: 702–709
[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] XU De-Rong, SUN Chao, BI Zhen-Zhen, QIN Tian-Yuan, WANG Yi-Hao, LI Cheng-Ju, FAN You-Fang, LIU Yin-Du, ZHANG Jun-Lian, BAI Jiang-Ping. Identification of StDRO1 gene polymorphism and association analysis with root traits in potato [J]. Acta Agronomica Sinica, 2022, 48(1): 76-85.
[13] 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.
[14] 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.
[15] 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.
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