Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (07): 1196-1204.doi: 10.3724/SP.J.1006.2012.01196

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

Relationship of Leaf Shape, Pod Traits and Association with SSR Markers in Soybean Germplasm

WU Bao-Duo**,CHEN Hai-Feng**,GUO Dan-Dan,SHA Ai-Hua,SHAN Zhi-Hui,ZHANG Xiao-Juan,YANG Zhong-Lu,QIU De-Zhen,CHEN Shui-Lian,ZHU Xiao-Ling,ZHANG Chan-Juan,ZHOU Rong*,ZHOU Xin-An*   

  1. Oil Crops Research Institute of Chinese Academy of Agricultural Sciences / Key Laboratory of Oil Crop Biology, Ministry of Agriculture, Wuhan 430062, China
  • Received:2011-10-17 Revised:2012-02-22 Online:2012-07-12 Published:2012-05-11
  • Contact: 周蓉, E-mail: zhourong@oilcrops.cn, Tel: 027-86735887; 周新安, E-mail: xazhou@public.wh.hb.cn, Tel: 027-86711563

PDF

1321

Abstract: Pod traits are important factors affecting soybean yield, and they have been identified to tightly associate with leaf shape. In present study, leaf shape/pod traits were analyzed using 167 soybean accessions, which were classified into two types (broad and narrow leaflets) based on the ratio of leaf length/width. Correlation analysis was carried out between leaf shape related traits and pod traits; ANOVA analysis was also performed using 65 SSR markers, evenly distributed in 20 linkage groups; association analysis was carried out using 13 SSR markers on the target regions. Marker 20-285, locating on chromosome I, highly associated with number of seeds per pod, indicating that the gene controlling number of seeds per pod may co-locate with marker 20-285. Almost all markers between 20-26 and 20-45 were associated with ratio of leaf length/width. We speculated that the genes controlling leaf shape were located in the region from marker 20-26 to 20-45. Hence, it was proved the target region harboring candidate genes of leaf shape and pod number was narrowed. Our study may provide a potential approach in molecular marker-assisted breeding of seeds per pod, and a theoretical guide for cloning the gene of seeds per pod.

Key words: Soybean [Glycine max (L.) Merri], Leaf shape, Pod traits, Correlation analysis, Association analysis

[1]Domingo W E. Inheritance of number of seeds per pod and leaflet shape in the soybean. J Agric Sci, 1945, 70: 251–268

[2]Takahashi N. Linkage relation between the genes for the form of leaves and the number of seeds per pod of soybeans. Jpn J Genet, 1934, 9: 208–225

[3]Porter C. Inheritance of the Gene(s) Controlling Leaflet Shape in Soybean. MS thesis of Virginia Polytechnic Institute and State University, 2000

[4]Weiss M G. Genetic linkage in soybeans: linkage group IV. Crop Sci, 1970, 10: 368–370

[5]Bernard R L, Weiss M G. Qualitative genetics. In: Caldwell B E, ed. Soybeans: Improvement, Production and Uses. Madison, WI, American Society of Agronomy, 1973. pp 117–154

[6]Sawada S. Inheritance of leaflet shape in soybeans. Soybean Genet Newsl, 1988, 15: 61–65

[7]Mandl F A, Buss G R. Comparison of narrow and broad leaflet isolines of soybean. Crop Sci, 1981, 21: 25–27

[8]You M G, Liu Y B, Zhao T J, Gai J Y. Effects of leaf shape on seed yield and its components in soybeans. Soybean Genet Newsl, 1995, 22: 66–70

[9]Wilcox J R, Abney T S. Inheritance of a narrow, rugose-leaf mutant in Glycine max. J Hered, 1991, 82: 421–423

[10]Balaiah C, Reddy P S, Reddi M V. Genic analysis in groundnut: I. Inheritance studies on 18 morphological characters in crosses with Gujarat narrow leaf mutant. Proc Indian Acad Sci, 1977, 85B(5): 340–350

[11]Nagel L, Brewster R, Riedell W E, Reese R N. Cytokinin regulation of flower and pod set in soybeans (Glycine max (L.) Merr.). Ann Bot, 2001, 88: 27–31

[12]Ikeda T, Ohnishi S, Senda M, Miyoshi T, Ishimoto M, Kitamura K, Funatsuki H. A novel major quantitative trait locus controlling seed development at low temperature in soybean (Glycine max). Theor Appl Genet, 2009, 118: 1477–1488

[13]Kantolic A G, Slafer G A. Development and Seed Number in Indeterminate Soybean as Affected by Timing and Duration of Exposure to Long Photoperiods after Flowering. Annals of Botany, 2007, 99: 925–933

[14]Mathew J P, Herbert S J, Zhang S H, Rautenkranz A A F, Litchfield G V. Differential Response of Soybean Yield Components to the Timing of Light Enrichment. Agron J, 2000, 92: 1156–1161

[15]Flint-Garcia S, Thornsberry J M, Buckler E S. Structure of linkage disequilibrium in plants. Annu Rev Plant Biol, 2003, 54: 357–374

[16]Hansen M, Kraft T, Ganestam S, Sall T, Nilsson N O. Linkage disequilibrium mapping of the bolting gene in sea beet using AFLP markers. Genet Res, 2001, 77: 61–66

[17]Wilson L M, Whitt S R , Ibanez A M, Rocheford T R, Goodman M M, Buckler E S. Dissection of maize kernel composition and starch production by candidate associations. Plant Cell, 2004, 16: 2719–2733

[18]Lam H M, Xu X, Liu X, Chen W B, Yang G H, Wong F L, Li M W, He W M, Qin N, Wang B, Li J, Jian M, Wang J, Shao G H, Wang J, Sun S S M, Zhang G Y. Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nat Genet, 2010, 42: 1053–1059

[19]Jun T H, Van K J, Kim M Y, Lee S H, Walker D R. Association analysis using SSR markers to find QTL for seed protein content in soybean. Euphytica, 2008, 162: 179–191

[20]Wand X-Z(王贤智), Zhang X-J(张晓娟), Zhou R(周蓉), Sha A-H(沙爱华), Wu X-J(吴学军), Cai S-P(蔡淑平), Qiu D-Z(邱德珍), Zhou X-A(周新安). QTL analysis of seed and pod traits in soybean RIL population. Acta Agron Sin (作物学报), 2007, 33(3): 441–448 (in Chinese with English abstract)

[21]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)

[22]Chen H F, Shan Z H, Sha A H, Wu B D, Yang Z L, Chen S L, Zhou R, Zhou X A. Quantitative trait loci analysis of stem strength and related traits in soybean. Euphytica, 2011, 179: 485–497

[23]Qiu L-J(邱丽娟), Chang R-Z(常汝镇), Liu Z-X(刘章雄). Soybean Germplasm Description Specifications and Data Standards (大豆种质资源描述规范和数据标准). Beijing: China Agriculture Press, 2006 (in Chinese)

[24]Wei Chen W, Zhang Y, Liu X P, Chen B Y, Tu J X, Fu T D. Detection of QTL for six yield-related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations. Theor Appl Genet, 2007, 115: 849–858

[25]Evanno G, Regnaut S, Goudet J: Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol, 2005, 14: 2611–2620

[26]Andersen J R, Schrag T, Melchinger A E, Zein I, Lubberstedt T. Validation of dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maize (Zea mays L.). Theor Appl Genet, 2005, 111: 206–217

[27]Ingvarsson P K, Street N R. Association genetics of complex traits in plants. New Phytol, 2011, 189: 909–922

[28]Yu J, Buckler E S. Genetic association mapping and genome organization of maize. Curr Opinion Biotechnol, 2006, 17: 155–160

[29]Gupta P K, Rustgi S, Kulwal P L. Linkage disequilibrium and association studies in higher plants:Present status and future prospects. Plant Mol Biol, 2005, 57: 461–485

[30]Andersen J R, Lübberstedt T. Functional markers in plants. TRENDS in Plant Science, 2003, 8: 554–560

[31]Gupta P K, Rustgi S. Molecular markers from the transcribed/expressed region of the genome in higher plants. Funct Integr Genomics, 2004, 4: 139–162

[32]Lund M S, Sorensen P, Guldbrandtsen B, Sorensen D A. Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis. Genetics, 2003, 163: 405–410

[33]Meuwissen T H E, Goddard M E. Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data. Genet. Sel. Evol., 2004, 6: 261–279

[34]Dinkins R D, Keim K R, Farno L, Edwards L H. Expression of the narrow leaflet gene for yield and agronomic traits in soybean. Am Genet Assoc, 2002, 93: 346–351

[35]Kunta T, Edwards L H, Keim K R. Heterosis, inbreeding depression, and combining ability in soybeans [Glycine max (L.) Merr.]. SABRAO J Breed Genet, 1997, 29: 21–32

[36]Gadag R N, Upadhyaya H D. Heterosis in soybean [Glycine max (L.) Merr.]. Indian J Genet, 1995, 55: 308–314

[37]Johnson H W, Bernard R L. Soybean genetics and breeding. Adv Agron, 1962, 14: 149–221

[38]Jeong N, Moon J K, Kim H S, Kim C G, Jeong S C. Fine genetic mapping of the genomic region controlling leaflet shape and number of seeds per pod in the soybean. Theor Appl Genet, 2011, 122: 865–874
[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] 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.
[3] YU Rui-Su, TIAN Xiao-Kang, LIU Bin-Bin, DUAN Ying-Xin, LI Ting, ZHANG Xiu-Ying, ZHANG Xing-Hua, HAO Yin-Chuan, LI Qin, XUE Ji-Quan, XU Shu-Tu. Dissecting the genetic architecture of lodging related traits by genome-wide association study and linkage analysis in maize [J]. Acta Agronomica Sinica, 2022, 48(1): 138-150.
[4] 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.
[5] TANG Jing-Quan, WANG Nan, GAO Jie, LIU Ting-Ting, WEN Jing, YI Bin, TU Jin-Xing, FU Ting-Dong, SHEN Jin-Xiong. Bioinformatics analysis of SnRK gene family and its relation with seed oil content of Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(3): 416-426.
[6] HAN Bei, WANG Xu-Wen, LI Bao-Qi, YU Yu, TIAN Qin, YANG Xi-Yan. Association analysis of drought tolerance traits of upland cotton accessions (Gossypium hirsutum L.) [J]. Acta Agronomica Sinica, 2021, 47(3): 438-450.
[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] JIANG Wei, PAN Zhe-Chao, BAO Li-Xian, ZHOU Fu-Xian, LI Yan-Shan, SUI Qi-Jun, LI Xian-Ping. Genome-wide association analysis for late blight resistance of potato resources [J]. Acta Agronomica Sinica, 2021, 47(2): 245-261.
[9] 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.
[10] XIE Lei, REN Yi, ZHANG Xin-Zhong, WANG Ji-Qing, ZHANG Zhi-Hui, SHI Shu-Bing, GENG Hong-Wei. Genome-wide association study of pre-harvest sprouting traits in wheat [J]. Acta Agronomica Sinica, 2021, 47(10): 1891-1902.
[11] LI Jing-Cai, WANG Qiang-Lin, SONG Wei-Wu, HUANG Wei, XIAO Gui-Lin, WU Cheng-Jin, GU Qin, SONG Bo-Tao. Association analysis of dormancy QTL in tetraploid potato via candidate gene markers [J]. Acta Agronomica Sinica, 2020, 46(9): 1380-1387.
[12] PENG Bo,ZHAO Xiao-Lei,WANG Yi,YUAN Wen-Ya,LI Chun-Hui,LI Yong-Xiang,ZHANG Deng-Feng,SHI Yun-Su,SONG Yan-Chun,WANG Tian-Yu,LI Yu. Genome-wide association studies of leaf orientation value in maize [J]. Acta Agronomica Sinica, 2020, 46(6): 819-831.
[13] HASAN Umut,SAWUT Mamat,Shui-Sen CHEN,Dan LI. Inversion of leaf area index of winter wheat based on GF-1/2 image [J]. Acta Agronomica Sinica, 2020, 46(5): 787-797.
[14] 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.
[15] Yun-Fu LI,Jing-Xian WANG,Yan-Fang DU,Hua-Wen ZOU,Zu-Xin ZHANG. Identification of indeterminate domain protein family genes associated with flowering time in maize [J]. Acta Agronomica Sinica, 2019, 45(4): 499-507.
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