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Acta Agron Sin ›› 2009, Vol. 35 ›› Issue (10): 1942-1947.doi: 10.3724/SP.J.1006.2009.01942

• RESEARCH ACTIVITIES • Previous Articles    

In silico Mapping and Structure Analysis of Key Enzyme Genesis in Fatty Acid Synthesis of Soybean

SONG Wan-Kun1,2,ZHU Ming-Xi1,2,ZHAO Yang-Lin1,WANG Jing1,LI Wen-Fu1,LIU Chun-Yan1,2,CHEN Qing-Shan2,*,HU Guo-Hua1,3,*   

  1. 1The Crop Research and Breeding Center of Land-Reclamation,Harbin 150090,China;2Agriculture College,Northeast Agricultural University,Harbin 150030,China;3The National Research Center of Soybean Engineering and Technology,Harbin 150050,China
  • Received:2009-01-15 Revised:2009-04-26 Online:2009-10-12 Published:2009-07-04
  • Contact: HU Guo-hua,E-mail:hugh757@vip.163.com;CHEN Qing-Shan,E-mail:qshchen@126.com;Tel:0451-55191945

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Abstract:

The 12 genes of key enzyme such as acyl-CoA carboxylase and fatty acid synthase in fatty acid synthesis were mapped on the newest genetic map integrating from physical map and genetic map, and the gene structure was analyzed. They were mapped on nine linkage groups, including A2, B2, C2, D1b, D2, G, I, L, M, and the flank markers of the gene on the linkage groups were obtained. At the same time, we compared the sequence information of cDNA with gDNA to get the structure information of the 12 genes, with the number of intron from 0 to 30. FAD2-1, FAD2-2, FAD2-3, and FatB were all single extron gene, but there were six introns in KASI, twelve introns in KASII, two introns in SACPD, and seven introns in FAD3. So the corresponding markers obtained from the mapping are available for molecular assisted selection, while the structure information can be better used in gene function analysis.

Key words: Soybean, Fatty acid, Gene, In silico mapping, Gene structure

[1] Lackey J A. Chromosome numbers in the Phaseoleae and their relation to taxonomy. Am J Bot, 1980, 67: 595-602

[2] Ohlrogge J, Browse J. Lipid biosynthesis. Plant Cell, 1995,7: 957-970

[3] Nikolau B J, Ohlrogge J B, Wurtele E S. Plant biotin-containing carboxylases. Arch Biochem Biophys, 2003, 414: 211-222

[4] Somerville C, Browse J, Jaworski J G, Ohlrogge J. Biochemistry and Molecular Biology of Plants. Amer. Soc. of Plant Physiologists, Rockville, MD, 2000, pp 456-527

[5] Anderson J V, Lutz S M, Gengenbach B G, Gronwald J W. Genomic sequence for a nuclear gene encoding acetyl-coenzyme A carboxylase (accession No. L42814) in soybean (95-055). Plant Physiol, 1995, 109: 338

[6] Aghoram K, Wilson R F, Burton J W, Dewey R E. A mutation in a 3-keto-acyl-ACP synthase II gene is associated with elevated palmitic acid levels in soybean seeds. Crop Sci, 2006, 46: 2453-2459

[7] Dehesh K, Tai H, Edwards P, Byrne J, Jaworski J G. Overexpression of 3-ketoacyl-acyl-carrier protein synthase IIIs in plants reduces the rate oflipid synthesis. Plant Physiol, 2001, 125: 1103-1114

[8] Cardinal A J, Burton J W, Camacho-Roger A M, Yang J H, Wilson R F, Dewey R E. Molecular analysis of soybean lines with low palmitic acid content in the seed oil. Crop Sci, 2007, 47: 304-310

[9] Chen L, Moon Y, Shanklin J, Nikolau B, Atherly A G. Cloning and sequence of a cDNA encoding stearoyl-acyl carrierprotein desaturase from Glycine Max. Plant Physiol, 1994, 109: 1498

[10] Heppard E P, Kinney A J, Stecca K L, Miao G H. Developmental and growth temperature regulation of two different microsomal omega-6 desaturase genes in soybeans. Plant Physiol, 1996, 110: 311-319

[11] Byfield G E, Upchurch R G.Effect of temperature on delta-9 stearoyl-ACP and microsomal omega-6 desaturase geneexpression and fatty acid content in developing soybean seeds. Crop Sci, 2007, 47: 1698-1704

[12] Bilyeu K D, Palavalli L, Sleper D A, Beuselinck P R. Three microsomal omega-3-fatty acid desaturase genes contribute to soybean linolenic acid levels. Crop Sci, 2003, 43: 1833-1838

[13] Choi I Y, Hyten D L, Matukumalli L K, Song Q J, Chaky J M, Quigley C V, Chase K K, Lark G, Reiter R S, Yoon M S, Hwang E Y, Yi S I, Young N D, Shoemaker R C, van Tassell C P, Specht J E, Cregan P B. A soybean transcript map: Gene distribution, haplotype and single-nucleotide polymorphism analysis. Genet Soc Am, 2007, 176: 685-696

[14] Qi Z M, Li H, Wu Q, Sun Y N, Liu C Y, Hu G H, Chen Q S. An integrated map of soybean physical map and genetic map. J Northeast Agric Univ, 2009, 16(2): 12-16

[15] Zheng Y-Z(郑永战), Gai J-Y(盖钧镒), Lu W-G(卢为国), Li W-D(李卫东), Zhou R-B(周瑞宝), Tian S-J(田少君). QTL mapping for fat and fatty acid composition contents in soybean. Acta Agron Sin (作物学报), 2006, 32(12): 1823-1830(in Chinese with English abstract)

[16] 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

[17] Yu Y G, Saghai-Maroof M A, Buss G R, Maughan P J, Tolin S A. RFLP and microsatellite mapping of a gene for soybean mosaic virus resistance. Phytopathology, 1994, 84: 60-64

[18] Mansur L M, Lark K G, Kross H, Oliveira A. Interval mapping of quantitative trait loci for reproductive, morphological and seed traits of soybean (Glycine max L.). Theor Appl Genet, 1993, 86: 907-913
Conclbido V C, Denny R L, Boutin S R, Hautea R, Orf J H, Young N D. DNA marker analysis of loci underlying resistance to soybean cyst nematode (Heterodera glycine Ichinohe). Crop Sci, 1994, 34: 240-246
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