Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (4): 590-595.doi: 10.3724/SP.J.1006.2010.00590

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

Inheritance and QTL Mapping of Waterlogging Tolerance at Seedling Stage of Soybean

SUN Hui-Min,ZHAO Tuan-Jie*,GAI Jun-Yi*   

  1. Soybean Research Institute / Nanjing Agricultural University / National Center for Soybean Improvement / National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing 210095, China
  • Received:2009-11-23 Revised:2010-02-08 Online:2010-04-12 Published:2010-03-03
  • Contact: ZHAO Tuan-Jie,GAI Jun-Yi,Tel:025-84395405;E-mail:sri@njau.edu.cn E-mail:sunhuimin81@163.com

Abstract:

Flooding is a serious problem for soybean production in eastern and southern China. Development of cultivars with tolerance to waterlogging is one of the effective ways to cope with the stress problem. For which, the genetic knowledge of waterlogging tolerance is of essential importance. The present study was aimed at revealing the inheritance and mapping the QTLs for waterlogging tolerance of soybean at seedling stage. The materials used were 175 recombinant inbred lines (RILs) derived from the cross Su88-M21 (Tolerant) × Xinyixiaoheidou (Highly sensitive), designated as NJRISX. A pot experiment was held under 5–7 cm waterlogging stress for 20 days at V2 stage. Based on the correlation and principal component analysis of eight traits, we calculated the joint waterlogging tolerance index from the average of individual tolerance index of plant height increment, number of leaves at the end of waterlogging and plant height at maturity to evaluate the tolerances of the materials. There existed obvious transgressive segregation and significant differences among the RIL lines. The segregation analysis under major gene plus polygene mixed inheritance model showed that waterlogging tolerance of soybean was controlled by two linked major genes plus polygenes with major gene heritability of 62.83% and polygene heritability of 8.90%. By using composite interval mapping (CIM) and multiple interval mapping (MIM) of WinQTL Cartographer Version 2.5, two QTLs conferring waterlogging tolerance were mapped in the marker regions of Satt229–Satt527 and Satt527–satt286 on linkage groups L2, explaining 11.76% and 12.34% of the total phenotypic variation, respectively. Accordingly, the results from segregation analysis and QTL mapping are relatively consistent in NJRISX population.

Key words: Soybean, Waterlogging tolerance, Recombinant inbred line(RIL), Segregation analysis, QTL mapping

[1] Reyna N, Cornelious B, Shamnon J G, Sneller C H. Evaluation of a QTL for waterlogging tolerance in southern soybean germplasm. Crop Sci, 2003, 43: 2077–2082

[2] Cornelious B, Chen P, Chen Y, Leon N de, Shannon J G, Wang D. Identification of QTLs underlying water-logging tolerance in soybean. Mol Breed, 2005, 16: 103–112

[3]  Wang F(王芳), Zhao T-J(赵团结), Gai J-Y(盖钧镒). Evaluation, eco-region characterization and elite germplasm identification of submergence tolerance at seeding stage in wild and cultivated soybeans. Soybean Sci (大豆科学), 2007, 26(6): 828–834 (in Chinese with English abstract)

[4] Githiri S M, Watanabe S, Harada K, Takahashi R. QTL analysis of flooding tolerance in soybean at an early vegetative growth stage. Plant Breed, 2006, 125: 613–618

[5] Li L(李林), Zou D-S(邹冬生), Liu D-W(刘登望), Liu F(刘飞), Zhang W-H(张武汉), Sun Y-T(孙玉桃), Yang G-L(杨光立). Research progress on waterlogging in peanut and other crops. Chin J Oil Crop Sci (中国油料作物学报), 2004, 26(3): 105–110 (in Chinese with English abstract)

[6] Boru G, Ginkel M V, Kronstad W E, Boersma L. Expression and inheritance of tolerance to waterlogging stress in wheat. Euphytica, 2001, 117: 91–98

[7] Setter T L, Ellis M, Lourance E V, Ella E S, Senadhira S B M, Sarkarung S, Datta S. Physiology and genetics of submergence tolerance of rice. Ann Bot, 1997, 79(suppl): 61–71

[8]   VanToai T T, Martin S S K, Chase K, Boru G, Schnipke V, Schmitthenner A F, Lark K G. Identification of a QTL associated with tolerance of soybean to soil waterlogging. Crop Sci, 2001, 41: 1247–1252

[9]         Wang F(王芳), Yu D-Y(喻德跃), Chen S-Y(陈受宜), Gai J-Y(盖钧镒). Inheritance and QTL analysis of submergence tolerance at seedling stage in soybean

[Glycine max (L.) Merr.]. Acta Agron Sin (作物学报), 2008, 34(5): 748–753 (in Chinese with English abstract)

[10] Gai J-Y(盖钧镒). Methods of Experimental Statistics (试验统计方法). Beijing: China Agriculture Press, 2000 (in Chinese)

[11] Gai J-Y(盖钧镒), Zhang Y-M(章元明), Wang J-K(王建康). Genetic System of Quantitative Traits in Plants (植物数量性状遗传体系). Beijing: Science Press, 2003 (in Chinese)

[12] Zhang H-M(张红梅), Zhou B(周斌), Zhao T-J(赵团结), Xing H(邢邯), Chen S-Y(陈受宜), Gai J-Y(盖钧镒). QTL mapping of tofu and soymilk output in RIL population NJRISX of soybean. Acta Agron Sin (作物学报), 2008, 34(1): 67–75 (in Chinese with English abstract)

[13] Wang S C, Basten C J, Zeng Z B. Windows QTL Cartographer Version 2.5, Department of Statistics, North Carolina State University, Raleigh, NC, 2001–2006

[14] Churchill G A, Doerge R W. Empirical threshold values for quantitative trait mapping. Genetics, 1994, 138: 963–971
Doerge R W, Churchill G A. Permutation tests for multiple loci affecting a quantitative character. Genetics, 1996, 142: 285–294
[1] Tang Kuan-Qiang, Li Gong-Yun, Song Mei-Yi, Zhao Xue, Chang Chun-Ling. Genome-wide association analysis and prediction model construction for soybean plant height [J]. Acta Agronomica Sinica, 2026, 52(6): 1743-1756.
[2] Zheng Yu-Zhen, Qi Fei-Yan, Sun Zi-Qi, Liu Hua, Qin Li, Shi Lei, Wang Juan, Wang Meng-Meng, Han Suo-Yi, Xu Jing, Miao Li-Juan, Huang Bing-Yan, Dong Wen-Zhao, Zheng Zheng, Zhang Xin-You. QTL mapping of total very long-chain fatty acids and seven fatty acid components in peanut seeds [J]. Acta Agronomica Sinica, 2026, 52(6): 1646-1657.
[3] Yao Shu, Guo Kai-Yue, Zhai Hui-Hui, Yao Jia-Hui, Deng Wen-Qi, Yan Ling, Huang Chi, Gao Yang, Yu Yan-Ran, Zhao Zhen-Bang, Li Ying-Hui, Wang Xiao-Bo, Li Jia-Jia. Comprehensive evaluation of low-iron tolerance and screening of elite germplasm at the soybean seedling stage [J]. Acta Agronomica Sinica, 2026, 52(5): 1373-1387.
[4] Tan Wen-Qing, Hui Rong-Kui, Zhang Fan-Li, Qin Lei, Mao Shu-Xiang, Deng Li-Chao, Guo Yi-Ming, Qu Liang, Yan Ming-Li. Rapid identification of waterlogging tolerance and selection of high waterlogging tolerance germplasm resources of rapeseed (Brassica napus L.) [J]. Acta Agronomica Sinica, 2026, 52(4): 1035-1045.
[5] Liu Chang-You, Wang Shen, Shi Hui-Ying, Shen Ying-Chao, Sun Lei, Wang Yan, Zhang Zhi-Xiao, Su Qiu-Zhu, Tian Jing, Fan Bao-Jie. QTL mapping for bruchid resistance in an adzuki bean distant hybridization population using rice bean genetic resources [J]. Acta Agronomica Sinica, 2026, 52(3): 936-944.
[6] Zhang Qing, Yang Yu, Guo Qian, Yue Pei-Yao, Yin Cong-Cong, Niu Jing-Ping, Zhao Jin-Zhong, Du Wei-Jun, Yue Ai-Qin. Cloning and functional analysis of the soybean GmARA6a gene in response to salt stress [J]. Acta Agronomica Sinica, 2026, 52(2): 480-493.
[7] WANG Ke-Jing, LI Xiang-Hua. Endangerment assessment of the perennial species G. tabacina and G. tomentella of the genus Glycine Willd. in China [J]. Acta Agronomica Sinica, 2025, 51(8): 2009-2019.
[8] MENG Ran, LI Zhao-Jia, FENG Wei, CHEN Yue, LIU Lu-Ping, YANG Chun-Yan, LU Xue-Lin, WANG Xiu-Ping. Comprehensive evaluation of salt tolerance at different growth stages of soybean and screening of salt-tolerant germplasm [J]. Acta Agronomica Sinica, 2025, 51(8): 1991-2008.
[9] HE Hong-Li, ZHANG Yu-Han, YANG Jing, CHENG Yun-Qing, ZHAO Yang, LI Xing-Nuo, SI Hong-Liang, ZHANG Xing-Zheng, YANG Xiang-Dong. Creation and physiological analysis of an e1-as gene mutant in soybean [J]. Acta Agronomica Sinica, 2025, 51(8): 2228-2239.
[10] SHAO Shun-Wei, CHEN Zhuo, LAN Zhen-Dong, CAI Xing-Kui, ZOU Hua-Fen, LI Chen-Xi, TANG Jing-Hua, ZHU Xi, ZHANG Yu, DONG Jian-Ke, JIN Hui, SONG Bo-Tao. QTL mapping of tuber eye depth based on BSA-seq technique [J]. Acta Agronomica Sinica, 2025, 51(7): 1725-1735.
[11] YANG Hai-Yang, WU Lin-Xuan, LI Bo-Wen, SHI Han-Feng, YUAN Xi-Long, LIU Jin-Zhao, CAI Hai-Rong, CHEN Shi-Yi, GUO Tao, WANG Hui. OsWRI3, identified based on QTL mapping, regulates seed shattering in rice [J]. Acta Agronomica Sinica, 2025, 51(7): 1712-1724.
[12] HU Meng, SHA Dan, ZHANG Sheng-Rui, GU Yong-Zhe, ZHANG Shi-Bi, LI Jing, SUN Jun-Ming, QIU Li-Juan, LI Bin. QTL mapping and candidate gene screening for branch number in soybean [J]. Acta Agronomica Sinica, 2025, 51(7): 1747-1756.
[13] WANG Qiong, ZOU Dan-Xia, CHEN Xing-Yun, ZHANG Wei, ZHANG Hong-Mei, LIU Xiao-Qing, JIA Qian-Ru, WEI Li-Bin, CUI Xiao-Yan, CHEN Xin, WANG Xue-Jun, CHEN Hua-Tao. Genome-wide association analysis and candidate genes prediction of flowering time and maturity date traits in soybean (Glycine max L.) [J]. Acta Agronomica Sinica, 2025, 51(6): 1558-1568.
[14] YIN Cong-Cong, LI Rui-Qi, YUE Pei-Yao, LI Chen, NIU Jing-Ping, ZHAO Jin-Zhong, DU Wei-Jun, YUE Ai-Qin. Establishment and application of a visual detection method for soybean mosaic virus SC15 based on closed dumbbell mediated isothermal amplification [J]. Acta Agronomica Sinica, 2025, 51(5): 1248-1260.
[15] ZHANG Jin-Ze, ZHOU Qing-Guo, XIAO Li-Jing, JIN Hai-Run, OU-YANG Qing-Jing, LONG Xu, YAN Zhong-Bin, TIAN En-Tang. QTL mapping and candidate gene analysis of glucosinolate content in various tissues of Brassica juncea [J]. Acta Agronomica Sinica, 2025, 51(5): 1166-1177.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!