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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (10): 1674-1682.doi: 10.3724/SP.J.1006.2010.01674

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

Mapping Quantitative Trait Loci for 100-Seed Weight in Soybean (Glycine max L. Merr.)

WANG Xia,XU Yu,LI Guang-Jun,LI He-Nan,GEN Wen-Quan,ZHANG Yuan-Ming*   

  1. National Key Laboratory of Crop Genetics and Germplasm enhancement/National Center for Soybean Improvement,Nanjing Agricultural University,Nanjing 210095,China
  • Received:2010-03-25 Revised:2010-07-05 Online:2010-10-12 Published:2010-08-04
  • Contact: ZHANG Yuan-ming，E-mail: soyzhang@njau.edu.cn E-mail:wangxiahappie@gmail.com

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Abstract: 100-seed weight is an important yield component of soybean and has been positively correlated with seed yield. A genetic linkage map using 504 F2 plants from direct and reciprocal crosses between Lishuizhongzihuang and Nannong 493-1 was constructed. 100-seed weight for these F2:4 families were measured at Jiangpu experimental station of Nanjing Agricultural University and Linyi experimental station in 2008, respectively. The above information was used to detect quantitative trait locus (QTL) for 100-seed weight using composite interval mapping (CIM) in Win QTL Cartographer V. 2.5 and joint analysis under the framework of penalized maximum likelihood. The results showed that sixteen QTLs were identified by the CIM while thirty-nine QTLs, including twenty-four main-effect QTLs, one environmental effect, one cytoplasmic effect, one environmental interaction and twelve cytoplasmic interactions, were detected by joint analysis. Ten common main-effect QTLs detected by the above two methods, three common QTLs between direct and reciprocal crosses at the two environments, and four consensus QTLs from Meta analysis showed the stability of the results. These results provide a theoretical basis for genetic analysis of soybean yield and marker-assisted breeding.

Key words: Soybean, 100-seed weight, Quantitative trait loci, Multi-marker joint analysis, Cytoplasmic interaction, Meta analysis

[1]Maughan P J, Saghai Maroof M A, Buss G R. Molecular-marker analysis of seed-weight: genomic locations, gene action, and evidence for orthologous evolution among three legume species. Theor Appl Genet, 1996, 93: 574–579
[2]Orf J H, Chase K, Jarvik T, Mansur L M, Cregan P B, Adler F R, Lark K G. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Sci, 1999, 39: 1642–1651
[3]Mian M A R, Bailey M A, Tamulonis J P, Shipe E R, Carter T E, Parrott J W A, Ashley D A, Hussey R S, Boerma H R. Molecular markers associated with seed weight in two soybean populations. Theor Appl Genet, 1996, 93: 1011–1016
[4]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
[5]Wu X-L(吴晓雷), Wang Y-J(王永军), He C-Y(贺超英), Chen S-Y(陈受宜), Gai J-Y(盖钧镒), Wang X-C(王学臣). QTL analysis of major agronomic traits in soybean. Acta Genet Sin (遗传学报), 2001, 28(10): 947–955 (in Chinese with English abstract)
[6]Reinprecht Y, Poysa V W, Yu K, Rajcan I, Ablett G R, Pauls K P. Seed and agronomic QTL in low linolenic acid, lipoxygenase-free soybean (Glycine max L. Merr.) germplasm. Genome, 2006, 49: 1510–1527
[7]Huang Z-W(黄中文), Zhao T-J(赵团结), Yu D-Y(喻德跃), Chen S-Y(陈受宜), Gai J-Y(盖钧镒). Detection of QTLs of yield related traits in soybean. Sci Agric Sin (中国农业科学), 2009, 42(12): 4155–4165 (in Chinese with English abstract)
[8]Zeng Z B. Precision mapping of quantitative trait loci. Genetics, 1994, 136: 1457–1468
[9]Zhang Y M, Xu S. A penalized maximum likelihood method for estimating epistatic effects of QTL. Heredity, 95: 96-104
[10]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
[11]Saghai-Maroof M A, Soliman K M, Jorgensen R A, Allard R W. Ribisomal DNA space-length polymorphism in barley: mendelian inheritance, chromosomal location, and population dynamics. Proc Natl Acad Sci USA, 1984, 81: 8014–8018
[12]Van Ooijen J W. JoinMap 4, Software for the Calculation of Genetic Linkage Maps in Experimental Populations. Wageningen, Netherlands, Kyazma, B.V. 2006
[13]Wang S C, Basten C J, Zeng Z B. Windows QTL Cartographer V.2.5. Department of Statistics. Raleigh, NC: North Carolina State Univesity, 2007
[14]Voorrips R E. MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered, 2002, 93: 77–78
[15]McCouch S R, Chen X, Panaud O, Temnykh S, Xu Y, Cho Y G, Huang N, Ishii T, Blair M. Microsatellite marker development, mapping and applications in rice genetics and breeding. Plant Mol Biol, 1997, 35: 89–99
[16]Shen J-B(申建斌), Jiang C-S(蒋昌顺). Application and limiting factors and improvement of crop QTL mapping. Chin Trop Agric (热带农业科学), 2006, 26(4): 59–63 (in Chinese with English abstract)
[17]Li D D, Pfeiffer T W, Cornelius P L. Soybean QTL for yield and yield components associated with Glycine soja alleles. Crop Sci, 2008, 48: 571–581
[18]Wang X-Z(王贤智), Zhou R(周蓉), Shan Z-H(单志慧), Zhang X-J(张晓娟), Sha A-H(沙爱华), Chen H-F(陈海峰), Qiu D-Z(邱德珍), Zhou X-A(周新安). Mapping QTLs associated with yield and yield components under different growing density in soybean RIL population. Chin J Oil Crop Sci (中国油料作物学报), 2009, 31: 1–8 (in Chinese with English abstract)
[19]Chen Q-S(陈庆山), Zhang Z-C(张忠臣), Liu C-Y(刘春燕), Xin D-W(辛大伟), Shan D-P(单大鹏), Qiu H-M(邱红梅), Shan C-Y(单彩云). QTL analysis of major agronomic traits in soybean. Sci Agric Sin (中国农业科学), 2007, 6(4): 399–405 (in Chinese with English abstract)
[20]Mian M A R, Bailey M A, Tamulonis J P, Shipe E R, Carter T E Jr, Parrott W A, Ashley D A, Hussey R S, Boerma H R. Molecular markers associated with seed weight in two soybean populations. Theor Appl Genet, 1996, 93: 1011–1016
[21]Maughan P J, Saghai-Maroof M A, Buss G R. Molecular-marker analysis of seed-weight: genomic locations, gene action, and evidence for orthologous evolution among three legume species. Theor Appl Genet, 1996, 93: 574–579
[22]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
[23]Chapman A, Pantalone V R, Ustun A, Allen F L, Landau-Ellis D, Trigiano R N, Gresshoff P M. Quantitative trait loci for agronomic and seed quality traits in an F2 and F4:6 soybean population. Euphytica, 2003, 129: 387–393
[24]Hyten D L, Pantalone V R, Sams C E, Saxton A M, Landau-Ellis D, Stefaniak T R, Schmidt M E. Seed quality QTL in a prominent soybean population. Theor Appl Genet, 2004, 109: 552–561
[25]Hoeck J A, Fehr W R, Shoemaker R C, Welke G A, Johnson S L, Cianzio S R. Molecular marker analysis of seed size in soybean. Crop Sci, 2003, 43: 68–74
[26]Specht J E, Chase K, Macrander M, Graef G L, Chung J, Markwell J P, Germann M, Orf J H, Lark K G. Soybean response to water: a QTL analysis of drought tolerance. Crop Sci, 2001, 41: 493–509
[27]Orf J H, Chase K, Jarvik T, Mansur L M, Cregan P B, Adler F R, Lark K G. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Sci, 1999, 39: 1642–1651
[28]Csanádi G, Vollmann J, Stift G, Lelley T. Seed quality QTLs identified in a molecular map of early maturing soybean. Theor Appl Genet, 2001, 103: 912–919
[29]Stombaugh S K, Orf J H, Jung H G, Chase K, Lark K G, Somers D A. Quantitative trait loci associated with cell wall polysaccharides in soybean seed. Crop Sci, 2004, 44: 2101–2106
[30]Arcade A, Labourdette A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J. Biomercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics, 2004, 20: 2324–2326
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