Skip to main content
Log in

Enhanced succinic acid production by Actinobacillus succinogenes after genome shuffling

  • Bioenergy/Biofuels/Biochemicals
  • Published:
Journal of Industrial Microbiology & Biotechnology

Abstract

Succinic acid is an important platform chemical for synthesis of C4 compounds. We applied genome shuffling to improve fermentative production of succinic acid by A. succinogenes. Using a screening strategy composed of selection in fermentation broth, cultured in 96-deep-well plates, and condensed HPLC screening, a starting population of 11 mutants producing a higher succinic acid concentration was selected and subjected to recursive protoplasts fusion. After three rounds of genome shuffling, strain F3-II-3-F was obtained, producing succinic acid at 1.99 g/l/h with a yield of 95.6 g/l. The genome shuffled strain had about a 73 % improvement in succinic acid production compared to the parent strain after 48 h in fed-batch fermentation. The genomic variability of F3-II-3-F was confirmed by amplified fragment-length polymorphism. The activity levels of key enzymes involved in end-product formation from glucose and metabolic flux distribution during succinic acid production were compared between A. succinogenes CGMCC 1593 and F3-II-3-F. Increased activity of glucokinase, fructose-1,6-bisphosphate aldolase, PEP carboxykinase and fumarase, as well as decreased activity of pyruvate kinase, pyruvate formate-lyase, and acetate kinase explained the enhanced succinic acid production and decreased acetic acid formation. Metabolic flux analysis suggested that increased flux to NADH was the main reason for increased activity of the C4 pathway resulting in increased yields of succinic acid. The present work will be propitious to the development of a bio-succinic acid fermentation industry.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Beauprez J, Mey MD, Soetaert W (2010) Microbial succinic acid production: natural versus metabolic engineered producers. Process Biotech 45:1103–1114

    CAS  Google Scholar 

  2. Corona-Gonzalez RI, Bories A, Gonzalez-Alvarez V (2008) Kinetic study of succinic acid production by Actinobacillus succinogenes ZT-130. Process Biotech 43:1047–1053

    CAS  Google Scholar 

  3. Gong JX, Zheng HJ, Wu ZJ (2009) Genome shuffling: progress and applications for phenotype improvement. Biotechnol Adv 27:996–1005

    Article  PubMed  Google Scholar 

  4. Guettler MV, Jain MK, Rumler D (1996) Method for making succinic acid, bacterial variants for use in the process and methods for obtaining variants. US 5(573):931

    Google Scholar 

  5. Guettler MV, Rumler D, Jain MK (1999) Actinobacillus succinogenes sp. nov., a novel succinic-acid-producing strain from the bovine rumen. Int J Syst Bacteriol 49:207–216

    Google Scholar 

  6. Jantama K, Haupt MJ, Svoronos SA, Zhang XL, Moore JC (2008) Combining metabolic engineering and metabolic evolution to develop nonrecombinant strains of Escherichia coli C that produce succinate and malate. Biotechnol Bioeng 99:1140–1153

    Article  PubMed  CAS  Google Scholar 

  7. Jantama K, Zhang X, Moore JC, Svoronus SA, Ingram LO (2008) Eliminating side products and increasing succinate yields in engineered strains of Escherichia coli C. Biotechnol Bioeng 101:881–893

    Article  PubMed  CAS  Google Scholar 

  8. Jasmina N, Kevin DB, Jo-Anne C (2003) High-frequency transformation of the Amphotericin-producing bacterium Streptomyces nodosus. J Microbiol Methods 55:273–277

    Article  Google Scholar 

  9. Lin H, Bennett GN, San KY (2005) Fed-batch culture of a metabolically engineered Escherichia coli strain designed for high-level succinate production and yield under aerobic conditions. Biotech Bioeng 90:775–779

    Article  CAS  Google Scholar 

  10. Lin SKC, Du C, Koutinas A, Wang R, Webb C (2008) Substrate and product inhibition kinetics in succinic acid production by Actinobacillus succinogenes. Bioche Eng J 41:128–135

    Article  CAS  Google Scholar 

  11. Liu X, Zheng P, Ni Y, Dong J, Sun Z (2009) Breeding Actinobacillus succinogenes with acid-tolerance by genome shuffling. Bull Microbiol (in Chinese) 36:1676–1681

    CAS  Google Scholar 

  12. Lu Y, Cheng YF, He XP, Guo XN, Zhang BR (2012) Improvement of robustness and ethanol production of ethanologenic Saccharomyces cerevisiae under co-stress of heat and inhibitors. J Ind Microbiol Biotechnol 39:73–804

    Article  PubMed  CAS  Google Scholar 

  13. Liu Y, Zheng P, Sun Z, Ni Y, Dong J, Zhu L (2008) Economical succinic acid production from cane molasses by Actinobacillus succinogenes. Bioresource Technol 99:1736–1742

    Article  CAS  Google Scholar 

  14. Liu YP, Zheng P, Sun ZH, Ni Y (2008) Strategies of pH control and glucose fed batch fermentation for production of succinic acid by Actinobacillussuccinogenes CGMCC1593. J Chem Technol Biot 87:722–729

    Google Scholar 

  15. McKinlay JB, Vieille C, Zeikus JG (2007) Prospects for a bio-based succinate industry. Appl Microbiol Biotechnol 76:727–740

    Article  PubMed  CAS  Google Scholar 

  16. McKinlay JB, Shachar-Hill Y, Zeikus JG, Vieille C (2007) Determining Actinobacillus succinogenes metabolic pathways and fluxes by NMR and GC-MS analyses of 13C-labeled metabolic product isotopomers. Metab Eng 9:177–192

    Article  PubMed  CAS  Google Scholar 

  17. McKinlay JB, Laivenieks M, Schindler BD, Mckinlay AA, Siddaeamappa S (2010) A genomic perspective on the potential of Actinobacillus succinogenes for industrial succinate production. BMC Genomics 11:680–695

    Article  PubMed  CAS  Google Scholar 

  18. Miller JH (1972) Experiments in molecular genetics. Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, pp 125–129

  19. Nordhoff S, Hocker H, Gebhardt H (2007) Renewable resources in the chemical industry—breaking away from oil? Biotechnol J 2:1505–1513

    Article  PubMed  CAS  Google Scholar 

  20. Otte B, Grunwaldt E, Mahmoud O, Jennewein S (2009) Genome Shuffling in Clostridium diolis DSM 15410 for improved 1,3-propanediol production. Appl Environ Microbiol 75:7610–7616

    Article  PubMed  CAS  Google Scholar 

  21. Okino S, Noburyu R, Suda M, Jojima T, Inui M, Yukawa H (2008) An efficient succinic acid production process in a metabolically engineered Corynebacterium glutamicumstrain. Appl Microbiol Biotechnol 81:459–4648

    Article  PubMed  CAS  Google Scholar 

  22. Patnaik R, Louie S, Gavrilovic V, Perry K, Stemmer WPC, Ryan CM, Cardayré S (2002) Genome shuffling of Lactobacillus for improved acid tolerance. Nat Biotech 20:707–712

    Article  CAS  Google Scholar 

  23. Patnaik R (2008) Engineering complex phenotypes in industrial strains. Biotechnol Prog 24:38–47

    Article  PubMed  CAS  Google Scholar 

  24. Sánchez AM, Bennett GN, San KY (2005) Novel pathway engineering design of the anaerobic central metabolic pathway in Escherichia coli to increase succinate yield and productivity. Metab Eng 7:229–239

    Article  PubMed  Google Scholar 

  25. Song H, Lee SY (2006) Production of succinic acid by bacterial fermentation. Enzyme Microbial Technol 39:353–361

    Google Scholar 

  26. Vemuri GN, Eiteman MA, Altman E (2002) Succinate production in dual-phase Escherichia coli fermentations depends on the time of transition from aerobic to anaerobic conditions. J Ind Microbiol Biot 28:325–332

    Article  CAS  Google Scholar 

  27. Vallino JJ, Stephanopoulos G (1993) Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction. Biotechnol Bioeng 41:633–646

    Article  PubMed  CAS  Google Scholar 

  28. Werf VMJD, Guettler MV, Jain MK, Zeikus JG (2007) Environmental and physiological factors affecting the succinate product ratio during carbohydrate fermentation by Actinobacillus sp. 130Z. Arch Microbiol 167:332–342

    Article  Google Scholar 

  29. Zhang YX, Perry K, Vinci VA, Powell K, Stemmer WPC, Cardayré SBd (2002) Genome shuffling leads to rapid phenotypic improvement in bacteria. Nature 415:414–416

    Google Scholar 

  30. Zhang Y, Liu JZ, Huang JS, Mao ZW (2010) Genome shuffling of Propionibacterium shermanii for improving vitamin B12 production and comparative proteome analysis. J Biotechnol 148:139–143

    Article  PubMed  CAS  Google Scholar 

  31. Zhao JF, Li YH, Zhang C, Yao ZY, Zhang L, Bie XM, Lu FX, Lu ZX (2012) Genome shuffling of Bacillus amyloliquefaciens for improving antimicrobial lipopeptide production and an analysis of relative gene expression using FQ RT-PCR. J Ind Microbiol Biotechnol 39:889–896

    Article  PubMed  CAS  Google Scholar 

  32. Zheng P, Dong JJ, Sun ZH, Ni Y, Fang L (2009) Fermentative production of succinic acid from straw hydrolysate by Actinobacillussuccinogenes. Bioresource Technol 100:2425–2429

    Article  CAS  Google Scholar 

  33. Zheng P, Liu M, Liu XD, Qiao Y, Du Ni Y, Sun ZH (2012) Genome shuffling improves thermotolerance and glutamic acid production of Coryn1ebacteria glutamicum. World J Microb Biot 28:1035–1043

    Article  CAS  Google Scholar 

  34. Zhu LL, Liu YP, Zheng P, Sun ZH (2007) Screening and identification of a strain of Actinobacillus succinogenes producing succinic acid by anaerobic fermentation. Bull Microbiol (in Chinese) 34:87–91

    Google Scholar 

  35. Zeikus JG, Jain MK, Elankovan P (1999) Biotechnology of succinic acid production and markets for derived industrial products. Appl Microbiol Biotechnol 51:545–552

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was financially supported by a grant from the Priority Academic Program Development of Jiangsu Higher Education Institutions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pu Zheng.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zheng, P., Zhang, K., Yan, Q. et al. Enhanced succinic acid production by Actinobacillus succinogenes after genome shuffling. J Ind Microbiol Biotechnol 40, 831–840 (2013). https://doi.org/10.1007/s10295-013-1283-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10295-013-1283-5

Keywords

Navigation