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Identification of QTL underlying isoflavone contents in soybean seeds among multiple environments

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Abstract

Soybean isoflavones are valued in certain medicines, cosmetics, foods and feeds. Selection for high-isoflavone content in seeds along with agronomic traits is a goal of many soybean breeders. The aim of the study was to identify the quantitative trait loci (QTL) underlying seed isoflavone content in soybean among seven environments in China. A cross was made between ‘Zhongdou 27’, a soybean cultivar with higher mean isoflavone content in the seven environments (daidzein, DZ, 1,865 μg g−1; genistein, GT, 1,614 μg g−1; glycitein, GC, 311 μg g−1 and total isoflavone, TI, 3,791 μg g−1) and ‘Jiunong 20’, a soybean cultivar with lower isoflavone content (DZ, 844 μg g−1; GT, 1,046 μg g−1; GC, 193 μg g−1 and TI, 2,061 μg g−1). Through single-seed-descent, 130 F5-derived F6 recombinant inbred lines were advanced. A total of 99 simple-sequence repeat markers were used to construct a genetic linkage map. Seed isoflavone contents were analyzed using high-performance liquid chromatography for multiple years and locations (Harbin in 2005, 2006 and 2007, Hulan in 2006 and 2007, and Suihua in 2006 and 2007). Three QTL were associated with DZ content, four with GT content, three with GC content, and five with TI content. For all QTL detected the beneficial allele was from Zhongdou 27. QTL were located on three (DZ), three (GC), four (GT) and five (TI) molecular linkage groups (LG). A novel QTL was detected with marker Satt144 on LG F that was associated with DZ (0.0014 > P > 0.0001, 5% < R 2 < 11%; 254 < DZ < 552 μg g−1), GT (0.0027 > P > 0.0001; 4% < R 2 < 9%; 262 < GT < 391 μg g−1), and TI (0.0011 > P > 0.0001; 4% < R 2 < 15%; 195 < TI < 871 μg g−1) across the various environments. A previously reported QTL on LG M detected by Satt540 was associated with TI across four environments and TI mean (0.0022 > P > 0.0001; 3% < R 2 < 8%; 182 < TI < 334 μg g−1) in China. Because both beneficial alleles were from Zhongdou 27, it was concluded that these two QTL would have the greatest potential value for marker-assisted selection for high-isoflavone content in soybean seed in China.

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References

  1. Aastveit AH, Aastveit K (1993) Effects of genotype–environment interactions on genetic correlations. Theor Appl Genet 86:1007–1013

  2. Allen FL (1994) Usefulness of plant genome mapping to plant breeding. In: Gresshoff P (ed) Plant genome analysis. CRC Press, Boca Raton, pp 11–18

  3. Benhamou N, Nicole M (1999) Cell biology of plant immunization against microbial infection: the potential of induced resistance in controlling plant diseases. Plant Physiol Biochem 37(10):703–719

  4. Brouns F (2002) Soya isoflavones: a new and promising ingredient for the health food sector. Food Res Int 35(2–3):187–193

  5. Carrao-Panizzi M, Kitamura K (1995) Isoflavone content in Brazilian soybean cultivars. Breed Sci 45:295–300

  6. Choi JS, Kwon TW, Kim JS (1996) Isoflavone contents in some varieties of soybean. Korean Food Biotechnol 5:167–169

  7. Cregan PB, Jarvik T, Bush AL, Shoemaker RC, Lark KG, Kahler AL, VanToai TT, Lohnes DG, Chung J, Specht JE (1999) An integrated genetic linkage map of the soybean genome. Crop Sci 39:1464–1490

  8. Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Focus 12:13–15

  9. Eldridge AC, Kwolek WF (1983) Soybean isoflavones: effect of environment and variety on composition. Agric Food Chem 31:394–396

  10. Graham MY, Graham TL (1991) Rapid accumulation of anionic peroxidases and phenolic polymers in soybean cotyledon tissues following treatment with Phytophthora megasperma f. sp. Glycinea wall glucan. Plant Physiol 97:1445–1455

  11. Griffith AP, Collison MW (2001) Improved methods for the extraction and analysis of isoflavones from soy-containing foods and nutritional supplements by reversed-phase high-performance liquid chromatography and liquid chromatography mass spectrometry. Chromatogr A 913:397–413

  12. Guo XM, Wang DH, Gordon SG, Helliwell E, Smith T, Berry SA, St Martin SK, Dorrance AE (2008) Genetic mapping of QTLs underlying partial resistance to Sclerotinia sclerotiorum in Soybean PI 391589A and PI 391589B. Crop Sci 48:1129–1139

  13. Hoeck JA, Fehr WR, Murphy PA, Welke GA (2000) Influence of genotype and environment on isoflavone contents of soybean. Crop Sci 40:48–51

  14. Holland JB, Moser HS, O’Donoughue LS, Lee M (1997) QTLs and epistasis associated with vernalization in oat. Crop Sci 37:1306–1316

  15. Kassem A, Meksem K, Njiti V, Iqbal MJ, Banz WJ, Winters TA, Wood AJ, Lightfoot DA (2004) Definition of soybean genomic regions that control seed Phytoestrogen amounts. Biotech Biomed 2:52–60

  16. Kassem MA, Shultz J, Meksem K, Cho Y, Wood AJ, Iqbal MJ, Lightfoot DA (2006) An updated ‘Essex’ by ‘Forrest’ linkage map and first composite interval map of QTL underlying six soybean traits. Theor Appl Genet 113:1015–1026

  17. Kosslak RM, Bookland R, Barkei J, Paaren H, Appelbaum ER (1987) Induction of Bradyhizobium japonicum common nod genes by isolated from Glycine max. Proc Natl Acad Sci USA 84:7428–7432

  18. Kudou S, Fleury Y, Welti D, Magnolato D, Uchida T, Kitamura K, Okubo K (1991) Malonyl isoflavone glycosides in soybean seeds (Glycine max Merrill). Agric Bio Chem 55:2227–2233

  19. Lander ES, Green P, Abrahamson J, Barlow A, Daly M, Lincoln S, Newburg L (1987) Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181

  20. Lark KG, Chase K, Adler F, Mansur LM, Orf JH (1995) Interactions between quantitative trait loci in soybean in which trait variation at one locus is conditional upon a specific allele at another. Proc Natl Acad Sci USA 92:4656–4660

  21. Latunde-Dada AO, Cabello-Hurtado F, Czittrich N, Didierjean L, Schopfer C, Hertkorn N, Werck-Reichhart D, Ebel J (2001) Flavonoid 6-hydroxylase from soybean (Glycine max L.), a novel plant P-450 monooxygenase. Biol Chem 276:1688–1695

  22. Lee SJ, Yan W, Ahn JK, Chung IM (2003) Effects of year, site, genotype and their interactions on various soybean isoflavones. Field Crops Res 81:181–192

  23. Li ZK, Yu SB, Lafitte HR, Huang N, Courtois B, Hittalmani S, Vijayakumar CHM, Liu GF, Wang GC, Shashidhar HE, ZHuang JY, Zheng KL, Singh VP, Sidhu JS, Srivantaneeyakul S, Khush GS (2003) QTL by environment interactions in rice I. heading date and plant height. Theor Appl Genet 108:141–153

  24. Li Y, Hill CB, Carlson SR, Diers BW, Hartman GL (2007) Soybean aphid resistance genes in the soybean cultivars Dowling and Jackson map to linkage group M. Mol Breed 19:25–34

  25. Lozovaya VV, Lygin AV, Zernova OV LISX, Hartman GL, Widholm JM (2004) Isoflavonoid accumulation in soybean hairy roots upon treatment with Fusarium solani. Plant Physiol and Bioch 42(7–8):671–679

  26. Meksem K, Njiti V, Banz WJ, Iqbal MJ, Kassem MM, Hyten D, Yuang J, Winters TA, Lightfoot DA (2001) Molecular markers of phytoestrogen content in soybeans. Biomed Biotechnol 1:38–44

  27. Morris PF, Savard ME, Ward EWB (1991) Identification and accumulation of isoflavonoids and isoflavone glucosides in soybean leaves and hypocotyls in resistance responses to Phytophthora megasperma f.sp. glycinea. Physiol Mol Plant Pathol 39(3):229–244

  28. Munro IC, Harwood M, Hlywka JJ, Stephen AM, Doull J, Flamm WG, Adlercreutz H (2003) Soy isoflavones: a safety review. Nutr Rev 61(1):1–33

  29. Narvel JM, Walker DR, Rector BG, All JN, Parrott WA, Boerma HR (2001) A retrospective DNA marker assessment of the development of insect resistant soybean. Crop Sci 41:1931–1939

  30. Njiti VK, Meksem Lightfoot DA, Banz WJ, Winters TA (1999) Molecular markers of phytoestrogen content in soybeans. Med Food 2:165–167

  31. Orf JH, Chase K, Adler FR, Mansur LM, Lark KG (1999) Genetics of soybean agronomic traits: II. interaction between yield quantitative trait loci in soybean. Crop Sci 39:1652–1657

  32. Price AH, Towhend J, Jones MP, Audebert A, Courtois B (2002) Mapping QTL associated with drought avoidance in upland rice grown in the Philippines and West Africa. Plant Mol Bio 48:683–695

  33. Primomo VS, Poysa V, Ablett GR, Jackson CJ, Gijzen M, Rajcan I (2005) Mapping QTL for individual and total isoflavone content in soybean seeds. Crop Sci 45:2454–2464

  34. Rauh BL, Basten C, Buckler ES IV (2002) Quantitative trait loci analysis of growth response to varying nitrogen sources in Arabidopsis thaliana. Theor Appl Genet 104:743–750

  35. Song QJ, Marek LF, Shoemaker RC, Lark KG, Concibido VC, Delannay X, Specht JE, Cregan PB (2004) A new integrated genetic linkage map of the soybean. Theor Appl Genet 109:122–128

  36. Stuber CW, Lincoln SE, Wolff DW, Helentjaris T, Lander ES (1992) Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics 132:832–839

  37. Trigizano RN, Caetano-Anolles G (1998) Laboratory exercises on DNA amplification fingerprinting for evaluating the molecular diversity of horticultural species. Hort Technol 8:413–423

  38. Vyn TJ, Yin X, Bruulsema TW, Jackson CC, Rajcan I, Brouder SM (2002) Potassium fertilization effects on isoflavone concentrations in soybean (Glycine max (L.) Merr.). Agric Food Chem 50:3501–3506

  39. Wang H, Murphy P (1994) Isoflavone composition of American and Japanese soybeans in Iowa: effects of variety, crop year, and location. Agric Food Chem 42:1674–1677

  40. Yan W (2001) GGEbiplot-a windows application for graphical analysis of multienvironment trial data and other types of two way data. Agron J 93:1111–1117

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Acknowledgments

This study was conducted in the Key Laboratory of Soybean Biology of Chinese Education Ministry and financially supported by National 863 Projects (contract No. 2006AA10Z1F and 2006AA100104-4), National 973 Project (2004CB117203-4), National Nature Foundation Program (30671318), and Science and Technology Project of Heilongjiang Province (GA06B 101-1-3).

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Correspondence to Wenbin Li.

Additional information

G. Zeng, D. Li and Y. Han have equal contributions to the paper.

Communicated by D. Lightfoot.

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Zeng, G., Li, D., Han, Y. et al. Identification of QTL underlying isoflavone contents in soybean seeds among multiple environments. Theor Appl Genet 118, 1455–1463 (2009). https://doi.org/10.1007/s00122-009-0994-5

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Keywords

  • QTL
  • SSR
  • MAS
  • Soybean
  • Isoflavone