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

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] Yan An, Jiang Kun-Wei, Wang Rong-Yuan, Tian Lin, Zhang Lu, Wang Yun, Xu Jian-Long. Identification and cloning of SVN7 controlling small vascular bundle number in the rice flag leaf [J]. Acta Agronomica Sinica, 2026, 52(5): 1364-1372.
[2] Yang Rui, Chen Jing-Dong, Huang Ying, Zhang Xue-Kun, Zhou Deng-Wen, Liu Qing-Yun, Xu Jin-Song, Xie Ling-Li, Xu Ben-Bo. Study on breeding and cultivation strategies for winter rapeseed to cope with climate change in the lower reaches of the Yangtze River [J]. Acta Agronomica Sinica, 2026, 52(4): 1153-1165.
[3] Zhang Chao, Guo Huan, Li Zhong-Ling, Yue Shu-Ning, Zhao Na. Mapping genes associated with anthocyanin in maize kernels using BSA-seq technology [J]. Acta Agronomica Sinica, 2026, 52(3): 780-789.
[4] LI Lu-Qi, CHENG Yu-Kun, BAI Bin, LEI Bin, GENG Hong-Wei. Genome-wide association analysis of stomatal-related traits in wheat leaves [J]. Acta Agronomica Sinica, 2025, 51(9): 2266-2284.
[5] LI Yun-Xiang, GUO Qian-Qian, HOU Wan-Wei, ZHANG Xiao-Juan. Genome-wide association analysis of drought resistance traits in wheat seedlings introduced from ICARDA [J]. Acta Agronomica Sinica, 2025, 51(9): 2387-2398.
[6] CAI Jin-Shan, LI Chao-Nan, WANG Jing-Yi, LI Ning, LIU Yu-Ping, JING Rui-Lian, LI Long, SUN Dai-Zhen. Genome-wide association study of root traits in wheat seedlings and identification of a superior allele at TaSRL-3B [J]. Acta Agronomica Sinica, 2025, 51(8): 2020-2032.
[7] 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.
[8] LI Wen-Jia, LIAO Yong-Jun, HUANG Lu, LU Qing, LI Shao-Xiong, CHEN Xiao-Ping, JIN Jing-Wei, WANG Run-Feng. Genome-wide associate analysis of flowering traits and identification of candidate genes in peanut [J]. Acta Agronomica Sinica, 2025, 51(5): 1400-1408.
[9] 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.
[10] WANG Ya-Wen, QI Zheng-Yang, YOU Jia-Qi, NIE Xin-Hui, CAO Juan, YANG Xi-Yan, TU Li-Li, ZHANG Xian-Long, WANG Mao-Jun. Preparation of cotton 60K functional locus gene chip and its application to genetic research [J]. Acta Agronomica Sinica, 2025, 51(5): 1178-1188.
[11] XU Jian-Xia, DING Yan-Qing, CAO Ning, CHENG Bin, GAO Xu, LI Wen-Zhen, ZHANG Li-Yi. Genome-wide association analysis and prediction of candidate genes for plant height and internode number in Chinese sorghum [J]. Acta Agronomica Sinica, 2025, 51(3): 568-585.
[12] GUO Shu-Hui, PAN Zhuan-Xia, ZHAO Zhan-Sheng, YANG Liu-Liu, HUANG-FU Zhang-Long, GUO Bao-Sheng, HU Xiao-Li, LU Ya-Dan, DING Xiao, WU Cui-Cui, LAN Gang, LYU Bei-Bei, TAN Feng-Ping, LI Peng-Bo. Genetic analysis of a major fiber length locus on chromosome D11 of upland cotton [J]. Acta Agronomica Sinica, 2025, 51(2): 383-394.
[13] YE Liang, ZHU Ye-Lin, PEI Lin-Jing, ZHANG Si-Ying, ZUO Xue-Qian, LI Zheng-Zhen, LIU Fang, TAN Jing. Screening candidate resistance genes to ear rot caused by Fusarium verticillioides in maize by combined GWAS and transcriptome analysis [J]. Acta Agronomica Sinica, 2024, 50(9): 2279-2296.
[14] SUN Xian-Jun, HU Zheng, JIANG Xue-Min, WANG Shi-Jia, CHEN Xiang-Qian, ZHANG Hui-Yuan, ZHANG Hui, JIANG Qi-Yan. Identification, evaluation and screening of salt-tolerant of soybean germplasm resources at seedling stage [J]. Acta Agronomica Sinica, 2024, 50(9): 2179-2186.
[15] MA Yan-Ming, LOU Hong-Yao, WANG Wei, SUN Na, YAN Guo-Rong, ZHANG Sheng-Jun, LIU Jie, NI Zhong-Fu, XU Lin. Genetic difference and genome association analysis of grain quality traits in Xinjiang winter wheat [J]. Acta Agronomica Sinica, 2024, 50(6): 1394-1405.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!