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Marker-assisted breeding for transgressive seed protein content in soybean [Glycine max (L.) Merr.]

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After two cycles of marker-assisted breeding on three loci, lines with transgressive segregation of 8.22–9.32 % protein content were developed based on four original soybean parents with 35.35–44.83 % protein content.

Abstract

Marker-assisted breeding has been an innovative approach in conventional breeding, which is to be further demonstrated, especially for quantitative traits. A study on continuous transgressive breeding for seed protein content (SPC) in soybean using marker-assisted procedures is reported here. The SPC of the recombinant inbred line (RIL) population XG varied in 38.04–47.54 % under five environments with P 1 of 35.35 %, P 2 of 44.34 % and total heritability of 89.11 %. A transgressive segregant XG30 with SPC 45.53 % was selected for further improvement. The linkage mapping of XG showed its genetic constitution composed of five additive QTL (32.16 % of phenotypic variation or PV) and two pairs of epistatic QTL (2.96 % PV) using 400 SSR markers with the remnant heritability 53.99 % attributed to the undetected collective of minor QTL. Another transgressive segregant WT133 with SPC 48.39 % was selected from the RIL population WT (44.83 % SPC for both parents). XG30 and WT133 were genotyped on the three major additive QTL (Prot-08-1, Prot-14-1 and Prot-19-2) as A 2 A 2 B 2 B 2 L 1 L 1 and A 1 A 1 B 1 B 1 L 2 L 2 , respectively. From WT133×XG30, surprising transgressive progenies were obtained, among which the recombinants with all three positive alleles A 2 _B 2 _L 2 _ performed the highest SPC, especially that of Prot-08-1. The five F 2-derived superior families showed their means higher than the high parent value in F 2:3 and F 2:4 and more transgressive effect in F 2:5:6, with the highest as high as 54.15 %, or 4.82 and 9.32 % more than WT133 and its original high parent, respectively. This study demonstrated the efficiency of marker-assisted procedure in breeding for transgressive segregation of quantitative trait.

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References

  • Chen QS, Zhang ZC, Liu CY, Xin DW, Qiu HM, Shan DP, Shan CY, Hu GH (2007) QTL Analysis of Major Agronomic Traits in Soybean. Agr Sci China 6:399–405

    Article  CAS  Google Scholar 

  • Collard BCY, Mackill DJ (2008) Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philos T Roy Soc B 363:557–572

    Article  CAS  Google Scholar 

  • Diers BW, Keim P, Fehr WR, Shoemaker RC (1992) RFLP analysis of soybean seed protein and oil content. Theor Appl Genet 83:608–612

    Article  CAS  PubMed  Google Scholar 

  • Gai JY, Chen L, Zhang YH, Zhao TJ, Xing GN, Xing H (2012) Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean. Breed Sci 61:495–510

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Hanson C, Robinson H, Comstock R (1956) Biometrical studies of yield in segregating populations of Korean Lespedeza. Agronomy J 48:268–272

    Article  Google Scholar 

  • Hwang EY, Song Q, Jia G, Specht JE, Hyten DL, Costa J, Cregan PB (2014) A genome-wide association study of seed protein and oil content in soybean. BMC Genom 15:1

    Article  Google Scholar 

  • Kim H, Xing G, Wang Y, Zhao T, Yu D, Yang S, Li Y, Chen S, Palmer R, Gai J (2014) Constitution of resistance to common cutworm in terms of antibiosis and antixenosis in soybean RIL populations. Euphytica 196:137–154

    Article  Google Scholar 

  • Korir PC, Qi B, Wang Y, Zhao T, Yu D, Chen S, Gai J (2011) A study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean. Plant Breed 130:551–562

    Article  CAS  Google Scholar 

  • Liang HZ, Yu YL, Wang SF, Lian Y, Wang TF, Wei YL, Gong PT, Liu XY, Fang XJ, Zhang MC (2010) QTL Mapping of Isoflavone, Oil and Protein Contents in Soybean [Glycine max (L). Merr.]. Agr Sci China 9:1108–1116

    Article  CAS  Google Scholar 

  • Liu SH, Zhou RB, Gai JY (2009) A comparative analysis of protein and fat content between wild and cultivated soybean in China. Soybean Sci 28:566–573

    Google Scholar 

  • Murray MG, Thompson WF (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res 8:4321–4325

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Orf JH, Chase K, Jarvik T, Mansur LM, Cregan PB, Adler FR, Lark KG (1999) Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Sci 39:1642–1651

    Article  Google Scholar 

  • Peleman JD, van der Voort JR (2003) Breeding by design. Trend Plant Sci 8:330–334

    Article  CAS  Google Scholar 

  • Schmutz J, Cannon SB, Schlueter J, Ma J, Mitros T, Nelson W, Hyten DL, Song Q, Thelen JJ, Cheng J, Xu D, Hellsten U, May GD, Yu Y, Sakurai T, Umezawa T, Bhattacharyya MK, Sandhu D, Valliyodan B, Lindquist E, Peto M, Grant D, Shu S, Goodstein D, Barry K, Futrell-Griggs M, Abernathy B, Du J, Tian Z, Zhu L, Gill N, Joshi T, Libault M, Sethuraman A, Zhang X-C, Shinozaki K, Nguyen HT, Wing RA, Cregan P, Specht J, Grimwood J, Rokhsar D, Stacey G, Shoemaker RC, Jackson SA (2010) Genome sequence of the palaeopolyploid soybean. Nature 463:178–183

    Article  CAS  PubMed  Google Scholar 

  • Sebastian SA, Streit LG, Stephens PA, Thompson JA, Hedges BR, Fabrizius MA, Soper JF, Schmidt DH, Kallem RL, Hinds MA, Feng L, Hoeck JA (2010) Context-specific marker-assisted selection for improved grain yield in elite soybean populations. Crop Sci 50:1196–1206

    Article  Google Scholar 

  • Sebolt AM, Shoemaker RC, Diers BW (2000) Analysis of a quantitative trait locus allele from wild soybean that increases seed protein concentration in soybean. Crop Sci 40:1438–1444

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  PubMed  Google Scholar 

  • Song Q, Jia G, Zhu Y, Grant D, Nelson RT, Hwang EY, Hyten DL, Cregan PB (2010) Abundance of SSR Motifs and Development of Candidate Polymorphic SSR Markers (BARCSOYSSR_1.0) in Soybean. Crop Sci 50:1950–1960

    Article  CAS  Google Scholar 

  • Su CF, Zhao TJ, Gai JY (2010) Simulation comparisons of effectiveness among QTL mapping procedures of different statistical genetic models. Acta Agron Sinica 36:1100–1107

    Article  CAS  Google Scholar 

  • Tajuddin T, Watanabe S, Yamanaka N, Harada K (2003) Analysis of quantitative trait loci for protein and lipid contents in soybean seeds using recombinant inbred lines. Breed Sci 53:133–140

    Article  CAS  Google Scholar 

  • Wang YF (2009) Genomic characterization of simple sequence repeats and establishment, integration and application of high density genetic linkage map in soybean. Ph.D. dissertation, Nanjing Agricultural University, Nanjing, People’s Republic of China

  • Wang HW (2011) Genetic dissection and elite allele identification of seed traits in soybean culivars released from Huang-huai valleys and southern China. Master dissertation, Nanjing Agricultural University, Nanjing, People’s Republic of China

  • Wang YF, Lu JJ, Chen SY, Shu LP, Palmer RG, Xing GN, Li Y, Yang SP, Yu DY, Zhao TJ, Gai JY (2014) Exploration of presence/absence variation and corresponding polymorphic markers in soybean genome. J Integrat Plant Biol 56:1009–1019

    Article  CAS  Google Scholar 

  • Xing GN, Zhou B, Wang YF, Zhao TJ, Yu DY, Chen SY, Gai JY (2012) Genetic components and major QTL confer resistance to bean pyralid (Lamprosema indicata Fabricius) under multiple environments in four RIL populations of soybean. Theor Appl Genet 125:859–875

    Article  PubMed  Google Scholar 

  • Yan JB, Warburton M, Crouch J (2011) Association mapping for enhancing maize (Zea mays L.) genetic improvement. Crop Sci 51:433–449

    Article  Google Scholar 

  • Yang J, Hu C, Hu H, Yu R, Xia Z, Ye X, Zhu J (2008) QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations. Bioinformatics 24:721–723

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This research was supported by the National Key Basic Research Program of China (2011CB1093), the National Hightech R&D Program of China (2011AA10A105, 2012AA101106), the MOE 111 Project (B08025), the MOE Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT13073), the MOA Public Profit Program (201203026-4), the Jiangsu Higher Education PAPD Program and the Jiangsu JCIC-MCP program.

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The authors have declared that no competing or conflicts of interest exist.

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Correspondence to Tuan Jie Zhao or Jun Yi Gai.

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Communicated by I. Rajcan.

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Zhang, Y.H., Liu, M.F., He, J.B. et al. Marker-assisted breeding for transgressive seed protein content in soybean [Glycine max (L.) Merr.]. Theor Appl Genet 128, 1061–1072 (2015). https://doi.org/10.1007/s00122-015-2490-4

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