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Identification of quantitative trait loci associated with soybean seed protein content using two populations derived from crosses between Glycine max and Glycine soja

Published online by Cambridge University Press:  16 July 2014

Long Yan ,
Li-Li Xing ,
Chun-Yan Yang ,
Ru-Zhen Chang ,
Meng-Chen Zhang  and
Li-Juan Qiu
Long Yan
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing100081, People's Republic of China Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang050035, People's Republic of China
Li-Li Xing
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing100081, People's Republic of China
Chun-Yan Yang
Affiliation:
Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang050035, People's Republic of China
Ru-Zhen Chang
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing100081, People's Republic of China
Meng-Chen Zhang
Affiliation:
Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang050035, People's Republic of China
Li-Juan Qiu*
Affiliation:
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing100081, People's Republic of China
*
* Corresponding author. E-mail: qiulijuan@caas.cn
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Abstract

Seed protein content is one of the most important traits controlled by quantitative trait loci (QTLs) in soybean. In this study, a Glycine soja accession (ZYD2738) was crossed with two elite cultivars Jidou 12 and Jidou 9 separately and subsequently the resulting F2:3 populations were used to identify QTLs associated with seed protein content. Protein contents in either population appeared to have a normal distribution with transgressive segregation. A total of five QTLs associated with high protein content were identified and mapped to chromosomes 2, 6, 13, 18 and 20, respectively. Of these QTLs, three (qPRO_2_1, qPRO_13_1 and qPRO_20_1) were identified in the same region in both the populations, whereas the other two (qPRO_6_1 and qPRO_18_1) were mapped in two different regions. qPRO_2_1 appears to be a novel protein QTL. qPRO_6_1, qPRO_18_1 and qPRO_20_1 had additive effects on seed protein content, while qPRO_13_1 had an over-dominant effect on seed protein content. These QTLs and their linked markers could serve as effective tools for marker-assisted selection to increase seed protein content.

Keywords

Glycine maxGlycine sojaQTLsseed protein content
Type
Research Article
Information
Plant Genetic Resources , Volume 12 , Issue S1: Special issue on the 3rd International Symposium on “Genomics of Plant Genetic Resources” , July 2014 , pp. S104 - S108
Copyright
Copyright © NIAB 2014 

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References

Bolon, YT, Joseph, B, Cannon, SB, Graham, MA, Diers, BW, Farmer, AD, May, GD, Muehlbauer, GJ, Specht, JE, Tu, ZJ, Weeks, N, Xu, WW, Shoemaker, RC and Vance, CP (2010) Complementary genetic and genomic approaches help characterize the linkage group I seed protein QTL in soybean. BMC Plant Biology 10: 41.CrossRefGoogle Scholar
Brummer, EC, Graef, GL, Orf, J, Wilcox, JR and Shoemaker, RC (1997) Mapping QTL for seed protein and oil content in eight soybean populations. Crop Science 37: 370–378.CrossRefGoogle Scholar
Chapman, A, Pantalone, VR, Ustun, A, Allen, FL, Landau-Ellis, D, Trigiano, RN and Gresshoff, PM (2003) Quantitative trait loci for agronomic and seed quality traits in an F2 and F4:6 soybean population. Euphytica 129: 387–393.Google Scholar
Chung, J, Babka, HL, Graef, GL, Staswick, PE, Lee, DJ, Cregan, PB, Shoemaker, RC and Specht, JE (2003) The seed protein, oil, and yield QTL on soybean linkage group I. Crop Science 43: 1053–1067.Google Scholar
Churchill, GA and Doerge, RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138: 963–971.Google Scholar
Concibido, VC, La Vallee, B, Mclaird, P, Pineda, N, Meyer, J, Hummel, L, Yang, J, Wu, K and Delannay, X (2003) Introgression of a quantitative trait locus for yield from Glycine soja into commercial soybean cultivars. Theoretical and Applied Genetics 106: 575–582.CrossRefGoogle ScholarPubMed
Csanádi, G, Vollmann, J, Stift, G and Lelley, T (2001) Seed quality QTLs identified in a molecular map of early maturing soybean. Theoretical and Applied Genetics 103: 912–919.Google Scholar
Diers, BW, Keim, P, Fehr, WR and Shoemaker, RC (1992) RFLP analysis of soybean seed protein and oil content. Theoretical and Applied Genetics 83: 608–612.CrossRefGoogle ScholarPubMed
Fasoula, VA, Harris, DK and Boerma, HR (2004) Validation and designation of quantitative trait loci for seed protein, seed oil, and seed weight from two soybean populations. Crop Science 44: 1218–1225.CrossRefGoogle Scholar
Funatsuki, H, Kawaguchi, K, Matsuba, S, Sato, Y and Ishimoto, M (2005) Mapping of QTL associated with chilling tolerance during reproductive growth in soybean. Theoretical and Applied Genetics 111: 851–861.CrossRefGoogle ScholarPubMed
Hymowitz, T, Dudley, JW, Collins, FI and Brown, CM (1974) Estimations of protein and oil concentration in corn, soybean, and oat seed by near-infrared light reflectance. Crop Science 14: 713–715.CrossRefGoogle Scholar
Hyten, DL, Pantalone, VR, Sams, CE, Saxton, AM, Landau-Ellis, D, Stefaniak, TR and Schmidt, ME (2004) Seed quality QTL in a prominent soybean population. Theoretical and Applied Genetics 109: 552–561.CrossRefGoogle Scholar
Hyten, DL, Song, QJ, Zhu, YL, Choi, IY, Nelson, RL, Costa, JM, Specht, JE, Shoemaker, RC and Cregan, PB (2006) Impacts of genetic bottlenecks on soybean genome diversity. Proceedings of the National Academy of Sciences of the United States of America 103: 16666–16671.CrossRefGoogle ScholarPubMed
Jun, TH, Van, K, Kim, MY, Lee, SH and Walker, DR (2008) Association analysis using SSR markers to find QTL for seed protein content in soybean. Euphytica 162: 179–191.Google Scholar
Kim, KS, Diers, BW, Hyten, DL, Rouf Mian, MA, Shannon, JG and Nelson, RL (2012) Identification of positive yield QTL alleles from exotic soybean germplasm in two backcross populations. Theoretical and Applied Genetics 125: 1353–1369.CrossRefGoogle ScholarPubMed
Lee, SH, Bailey, MA, Mian, MAR, Carter, TE Jr, Shipe, ER, Ashley, DA, Parrott, WA, Hussey, RS and Boerma, HR (1996) RFLP loci associated with soybean seed protein and oil content across populations and locations. Theoretical and Applied Genetics 93: 649–657.CrossRefGoogle ScholarPubMed
Lestari, P, Van, K, Lee, J, Kang, YJ and Lee, SH (2013) Gene divergence of homeologous regions associated with a major seed protein content QTL in soybean. Front Plant Science 4: 176.CrossRefGoogle Scholar
Li, DD, Pfeiffer, TW and Cornelius, PL (2008a) Soybean QTL for yield and yield components associated with Glycine soja alleles. Crop Science 48: 571–581.Google Scholar
Li, YH, Guan, RX, Liu, ZX, Ma, YS, Wang, LX, Li, LH, Lin, FY, Luan, WJ, Chen, PY, Yan, Z, Guan, Y, Zhu, L, Ning, XC, Smulders, MJM, Li, W, Piao, RH, Cui, YH, Yu, ZM, Guan, M, Chang, RZ, Hou, AF, Shi, AN, Zhang, B, Zhu, SL and Qiu, LJ (2008 b) Genetic structure and diversity of cultivated soybean (Glycine max (L.) Merr.) landraces in China. Theoretical and Applied Genetics 117: 857–871.CrossRefGoogle ScholarPubMed
Liu, BH, Fujita, T, Yan, ZH, Sakamoto, S, Xu, DH and Abe, J (2007) QTL mapping of domestication-related traits in soybean (Glycine max). Annals of Botany 100: 1027–1038.Google Scholar
Nichols, DM, Glover, KD, Carlson, SR, Specht, JE and Diers, BW (2006) Fine mapping of a seed protein QTL on soybean linkage group I and its correlated effects on agronomic traits. Crop Science 46: 834–839.Google Scholar
Orf, JH, Chase, K, Jarvik, T, Mansur, LM, Cregan, PB, Adler, FR and Lark, KG (1999) Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Science 39: 1642–1651.Google Scholar
Panthee, DR, Pantalone, VR, West, DR, Saxton, AM and Sams, CE (2005) Quantitative trait loci for seed protein and oil concentration, and seed size in soybean. Crop Science 45: 2015–2022.Google Scholar
Qiu, BX, Arelli, PR and Sleper, DA (1999) RFLP markers associated with soybean cyst nematode resistance and seed composition in a ‘Peking’ × ‘Essex’ population. Theoretical and Applied Genetics 98: 356–364.Google Scholar
Sebolt, AM, Shoemaker, RC and Diers, BW (2000) Analysis of a quantitative trait locus allele from wild soybean that increases seed protein concentration in soybean. Crop Science 40: 1438–1444.Google Scholar
Song, QJ, Marek, LF, Shoemaker, RC, Lark, KG, Concibido, VC, Delannay, X, Specht, JE and Cregan, PB (2004) A new integrated genetic linkage map of the soybean. Theoretical and Applied Genetics 109: 122–128.Google Scholar
Wang, JL, Meng, QX, Yang, QK, Zhao, SW and Wu, TL (1986) Effect of backcrossing on overcoming viny and lodging habit of cultivated × wild and cultivated × semi-wild crosses. Soybean Science 5: 181–187 (in Chinese with English abstract).Google Scholar
Wang, D, Shoemaker, RC, Arelli, PR and Diers, BW (2001) Loci underlying resistance to Race 3 of soybean cyst nematode in Glycine soja plant introduction 468916. Theoretical and Applied Genetics 103: 561–566.Google Scholar
Wang, D, Graef, GL, Procopiuk, AM and Diers, BW (2004) Identification of putative QTL that underlie yield in interspecific soybean backcross populations. Theoretical and Applied Genetics 108: 458–467.Google Scholar
Wang, SC, Basten, CJ and Zeng, ZB (2007) Windows QTL Cartographer V2.5. Raleigh, NC: Department of Statistics, North Carolina State University.Google Scholar
Winter, SMJ, Shelp, BJ, Anderson, TR, Welacky, TW and Rajcan, I (2007) QTL associated with horizontal resistance to soybean cyst nematode in Glycine soja PI464925B. Theoretical and Applied Genetics 114: 461–472.Google Scholar
Wolf, R, Cavins, J, Kleiman, R and Black, L (1982) Effect of temperature on soybean seed constituents: oil, protein, moisture, fatty acids, amino acids and sugars. Journal of the American Oil Chemists' Society 59: 230–232.Google Scholar
Yesudas, CR, Bashir, R, Geisler, MB and Lightfoot, DA (2013) Identification of germplasm with stacked QTL underlying seed traits in an inbred soybean population from cultivars Essex and Forrest. Molecular Breeding 31: 693–703.CrossRefGoogle Scholar
Yu, SB, Li, JX, Xu, CG, Tan, YF, Gao, YJ, Li, XH, Zhang, QF and Saghai Maroof, MA (1997) Importance of epistasis as the genetics basis of heterosis in an elite rice hybrid. Proceedings of the National Academy of Sciences of the United States of America 94: 9226–9331.Google Scholar