Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2013, Vol. 39 ›› Issue (01): 12-20.doi: 10.3724/SP.J.1006.2013.00012

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

QTL Mapping of Pubescence Density and Length on Leaf Surface of Soybean

XING Guang-Nan,LIU Ze-Xi-Nan,TAN Lian-Mei,YUE Han,WANG Yu-Feng,KIM Hyun-Jee,ZHAO Tuan-Jie,GAI Jun-Yi*   

  1. Soybean Research Institute / National Center for Soybean Improvement / Key Laboratory for Biology and Genetic Improvement of Soybean (General), Ministry of Agriculture / National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2012-10-09 Revised:2012-11-14 Online:2013-01-12 Published:2012-11-14
  • Contact: 盖钧镒, E-mail: sri@njau.edu.cn, Tel: 025-84395405

Abstract:

Soybean pubescences are known to play important roles in resistance to pests and tolerance to drought stress. QTL mapping of leaf pubescence density and length was conducted in recombinant inbred line populations of NJRIKY (KY) and NJRIXG (XG). The results obtained were as follows: (1) There existed great variation and certain transgressive segregation in leaf pubescence density and length among lines; highly significant negative correlations (r= −0.49 and −0.62, respectively) between the two traits were observed; the heritability values for pubescence density ranged from 75.7% to 76.8%, higher than that for pubescence length ranged from 45.2% to 62.9% in the two populations. (2) Two major QTL for pubescence density detected were PD1-1 accounted for 20.7% of phenotypic variation in XG, and PD12-1 contributed 21.7% of phenotypic variation in KY. The genetic constitution of pubescence density was composed of additive QTL (20.7−36.2% of phenotypic variation), epistatic QTL pairs (0−1.4%) and collective unmapped minor QTL (38.1−56.1%) in the two populations. Here the unmapped minor QTL was the most important part for the trait, which was not recognized if only using mapping procedures without the consideration of the total genetic variation among the lines. (3) The phenotypic variation of pubescence length in KY was accounted for by epistatic QTL pairs (4.2%) and collective unmapped minor QTL (58.7%) without additive QTL (0%), while that in XG mainly by additive QTL, including Pl1-1 and Pl12-1 on chromosomes 1 and 12 accounting for 18.3% and 22.5% of phenotypic variation, respectively, with very small contribution by epistatic QTL pair and collective unmapped minor QTL. Therefore, the genetic constitutions of pubescence length in the two populations were different from each other. The genetic mechanisms of leaf pubescence density and length in soybean are complicated and involve many genes/QTL with different effects.

Key words: Soybean [Glycine max (L.) Merr.], Pubescence density, Pubescence length, QTL mapping

[1]Norris D M, Kogan M. Biochemical and morpholgical basis of resistance. In: Maxwell F G, Jennings P R, eds. Breeding Plants Resistant to Insects. New York: John Wiley and Sons, 1980. pp 23–62



[2]Bhattacharyya P K, Ram H H. Pubescence as a plant resistance character against Spilosoma obliqua Walker in the interspecific crosses of soybean. Trop Agric Res Ext, 2001, 4: 20–23



[3]Turnipseed S G. Influence of trichome density on populations of small phytophagous insects on soybean. Environ Entomol, 1977, 6: 815–817



[4]Liu X-Y(刘学义), Li S-X(李淑香). Study on insect-resistance of soybean to red spider. J Shanxi Agric Univ (山西农业大学学报), 1994, 14(4): 391–393 (in Chinese with English abstract)



[5]Khan Z R, Ward J T, Norris D M. Role of trichomes in soybean resistance to cabbage looper, Trichoplusia ni. Entomol Exp Appl, 1986, 42: 109–117



[6]Xing G-N(邢光南), Zhao T-J(赵团结), Wang J-R(王柬人), Gai J-Y(盖钧镒). Variation of leaf pubescence status and its association with resistance to bean pyralid (Lamprosema indicata Fabricius) in soybean. Soybean Sci (大豆科学), 2009, 28(5): 768–773 (in Chinese with English abstract)



[7]Boerma H R, Specht J E. Soybeans: Improvement, Production, and Uses (third edition). Madison, Wisconsin USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2004



[8]Cregan P B, Jarvik T, Bush A L, Shoemaker R C, Lark K G, Kahler A L, Kaya N, VanToai T T, Lohnes D G, Chung J, Specht J E. An integrated genetic linkage map of the soybean genome. Crop Sci, 1999, 39: 1464–1490



[9]Song Q J, Marek L F, Shoemaker R C, Lark K G, Concibido V C, Delannay X, Specht J E, Cregan P B. A new integrated genetic linkage map of the soybean. Theor Appl Genet, 2004, 109: 122–128



[10]Lee J M, Bush A L, Specht J E, Shoemaker R C. Mapping of duplicate genes in soybean. Genome, 1999, 42: 829–836



[11]Hulburt D J. Identifying Additional Insect Resistance Quantitative Trait Loci in Soybean Using Simple Sequence Repeats. MS Thesis of University of Georgia, 2002



[12]Hulburt D J, Boerma H R, All J N. Effect of pubescence tip on soybean resistance to lepidopteran insects. J Econ Entomol, 2004, 97: 621–627



[13]Komatsu K, Okuda S, Takahashi M, Matsunaga R, Nakazawa Y. Quantitative trait loci mapping of pubescence density and flowering time of insect-resistant soybean (Glycine max L. Merr.). Genet Mol Biol, 2007, 30: 635–639



[14]Oki N, Komatsu K, Sayama T, Ishimoto M, Takahashi M, Takahashi M. Genetic analysis of antixenosis resistance to the common cutworm (Spodoptera litura Fabricius) and its relationship with pubescence characteristics in soybean (Glycine max (L.) Merr.). Breed Sci, 2012, 61: 608–617



[15]Xing G N, Zhou B, Wang Y F, Zhao T J, Yu D Y, Chen S Y, Gai J Y. Genetic components and major QTL confer resistance to bean pyralid (Lamprosema indicata Fabricius) under multiple environments in four RIL populations of soybean. Theor Appl Genet, 2012, 125: 859–875



[16]Du W J, Yu D Y, Fu S X. Analysis of QTLs for the trichome density on the upper and downer surface of leaf blade in soybean [Glycine max (L.) Merr.]. Agric Sci China, 2009, 8: 529–537



[17]Lander E S, Green P. Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics, 1987, 1: 174–181



[18]Xing G-N(邢光南), Zhao T-J(赵团结), Gai J-Y(盖钧镒). Application technique of marker grouping and ordering in genetic linkage map construction using Mapmaker/Exp. Acta Agron Sin (作物学报), 2008, 34(2): 217–223 (in Chinese with English abstract)



[19]Xing G-N(邢光南). Identification, Inheritance and QTL Analysis of Resistance of Soybean to Lamprosema Indicata (Fabricius) and Megacopta Cribraria (Fabricius). PhD Dissertation of Nanjing Agricultural University, 2007 (in Chinese with English abstract)



[20]Zhang W K, Wang Y J, Luo G Z, Zhang J S, He C Y, Wu X L, Gai J Y, Chen S Y. QTL mapping of ten agronomic traits on the soybean (Glycine max L. Merr.) genetic map and their association with EST markers. Theor Appl Genet, 2004, 108: 1131–1139



[21]Wang Y-F(王宇峰). Genomic Characterization of Simple Sequence Repeats and Establishment, Integration and Application of High Density Genetic Linkage Map in Soybean. PhD Dissertation of Nanjing Agricultural University, 2009 (in Chinese with English abstract)



[22]Ooijen J W van, Voorrips R E. JoinMap 3.0 Software for the Calculation of Genetic Linkage Maps. Wageningen, The Netherlands: Plant Research International, 2001



[23]Yang J, Hu C C, Hu H, Yu R D, Xia Z, Ye X Z, Zhu J. QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations. Bioinformatics, 2008, 24: 721–723



[24]Zhao Y-H(赵彦宏), Zhu J(朱军), Xu H-M(徐海明), Yang J(杨剑), Gao Y-M(高用明), Song Y-S(宋佑胜), Shi C-H(石春海), Xing Y-Z(邢永忠). Predicting heterosis of effective panicle number per plant based on QTL mapping in rice. Chin J Rice Sci (中国水稻科学), 2007, 21(4): 350–354 (in Chinese with English abstract)



[25]Wang S C, Basten C J, Zeng Z B. Windows QTL Cartographer 2.5. Raleigh, NC: Statistical Genetics, North Carolina State University, 2001–2005



[26]Voorrips R E. MapChart: Software for the graphical presentation of linkage maps and QTLs. J Hered, 2002, 93: 77–78

[1] 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.
[2] ZHANG Bo, PEI Rui-Qing, YANG Wei-Feng, ZHU Hai-Tao, LIU Gui-Fu, ZHANG Gui-Quan, WANG Shao-Kui. Mapping and identification QTLs controlling grain size in rice (Oryza sativa L.) by using single segment substitution lines derived from IAPAR9 [J]. Acta Agronomica Sinica, 2021, 47(8): 1472-1480.
[3] ZHOU Xin-Tong, GUO Qing-Qing, CHEN Xue, LI Jia-Na, WANG Rui. Construction of a high-density genetic map using genotyping by sequencing (GBS) for quantitative trait loci (QTL) analysis of pink petal trait in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 587-598.
[4] LI Shu-Yu, HUANG Yang, XIONG Jie, DING Ge, CHEN Lun-Lin, SONG Lai-Qiang. QTL mapping and candidate genes screening of earliness traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(4): 626-637.
[5] LUO Kai, XIE Chen, WANG Jin, WANG Tian, HE Shun, YONG Tai-Wen, YANG Wen-Yu. Effect of exogenous plant growth regulators on carbon-nitrogen metabolism and flower-pod abscission of relay strip intercropping soybean [J]. Acta Agronomica Sinica, 2021, 47(4): 752-760.
[6] SHEN Wen-Qiang, ZHAO Bing-Bing, YU Guo-Ling, LI Feng-Fei, ZHU Xiao-Yan, MA Fu-Ying, LI Yun-Feng, HE Guang-Hua, ZHAO Fang-Ming. Identification of an excellent rice chromosome segment substitution line Z746 and QTL mapping and verification of important agronomic traits [J]. Acta Agronomica Sinica, 2021, 47(3): 451-461.
[7] LIAN Yun, WANG Jin-She, WEI He, LI Jin-Ying, GONG Gui-Ming, WANG Shu-Feng, ZHANG Jing-Peng, LI Mao-Lin, GUO Jian-Qiu, LU Wei-Quo. Distribution survey of soybean cyst nematode of new race X12 in Gujiao city, Shanxi province [J]. Acta Agronomica Sinica, 2021, 47(2): 237-244.
[8] QIN Xiao-Min, PAN Hao-Nan, XIAO Jing-Xiu, TANG Li, ZHENG Yi. Effects of maize and soybean intercropping on nodule growth, nitrogen fixation of soybean under low phosphorus condition [J]. Acta Agronomica Sinica, 2021, 47(11): 2268-2277.
[9] Dai-Ling LIU,Jun-Feng XIE,Qian-Rui HE,Si-Wei CHEN,Yue HU,Jia ZHOU,Yue-Hui SHE,Wei-Guo LIU,Wen-Yu YANG,Xiao-Ling WU. QTL analysis for relative contents of glycinin and β-conglycinin fractions from storage protein in soybean seeds under monoculture and relay intercropping [J]. Acta Agronomica Sinica, 2020, 46(3): 341-353.
[10] WU Hai-Tao, ZHANG Yong, SU Bo-Hong, Lamlom F Sobhi, QIU Li-Juan. Development of molecular markers and fine mapping of qBN-18 locus related to branch number in soybean (Glycine max L.) [J]. Acta Agronomica Sinica, 2020, 46(11): 1667-1677.
[11] WANG Cun-Hu,LIU Dong,XU Rui-Neng,YANG Yong-Qing,LIAO Hong. Mapping of QTLs for leafstalk angle in soybean [J]. Acta Agronomica Sinica, 2020, 46(01): 9-19.
[12] YANG Xiao-Meng, LI Xia, PU Xiao-Ying, DU Juan, Muhammad Kazim Ali, YANG Jia-Zhen, ZENG Ya-Wen, YANG Tao. QTL mapping for total grain anthocyanin content and 1000-kernel weight in barley recombinant inbred lines population [J]. Acta Agronomica Sinica, 2020, 46(01): 52-61.
[13] WANG Da-Chuan,WANG Hui,MA Fu-Ying,DU Jie,ZHANG Jia-Yu,XU Guang-Yi,HE Guang-Hua,LI Yun-Feng,LING Ying-Hua,ZHAO Fang-Ming. Identification of rice chromosome segment substitution Line Z747 with increased grain number and QTL mapping for related traits [J]. Acta Agronomica Sinica, 2020, 46(01): 140-146.
[14] Li-Juan WEI,Rui-Ying LIU,Li ZHANG,Zhi-You CHEN,Hong YANG,Qiang HUO,Jia-Na LI. Detection of stem height QTL and integration of the loci for plant height- related traits in B. napus [J]. Acta Agronomica Sinica, 2019, 45(6): 818-828.
[15] YAN Chao,ZHENG Jian,DUAN Wen-Jing,NAN Wen-Bin,QIN Xiao-Jian,ZHANG Han-Ma,LIANG Yong-Shu. Locating QTL controlling yield traits in overwintering cultivated rice [J]. Acta Agronomica Sinica, 2019, 45(4): 522-537.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!