Journal of Microbiology and Biotechnology

  • 제27권7호
  • /
  • Pages.1345-1358
  • /
  • 2017
  • /
  • 1017-7825(pISSN)
  • /
  • 1738-8872(eISSN)
한국미생물·생명공학회 (The Korean Society for Microbiology and Biotechnology)
권호 표지
DOI QR코드

DOI QR Code

Impact of High-Level Expression of Heterologous Protein on Lactococcus lactis Host

  • Kim, Mina (Department of Food and Nutrition, Chungnam National University) ;
  • Jin, Yerin (Graduate School of Analytical Science and Technology, Chungnam National University) ;
  • An, Hyun-Joo (Graduate School of Analytical Science and Technology, Chungnam National University) ;
  • Kim, Jaehan (Department of Food and Nutrition, Chungnam National University)
  • 투고 : 2017.03.30
  • 심사 : 2017.04.27
  • 발행 : 2017.07.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The impact of overproduction of a heterologous protein on the metabolic system of host Lactococcus lactis was investigated. The protein expression profiles of L. lactis IL1403 containing two near-identical plasmids that expressed high- and low-level of the green fluorescent protein (GFP) were examined via shotgun proteomics. Analysis of the two strains via high-throughput LC-MS/MS proteomics identified the expression of 294 proteins. The relative amount of each protein in the proteome of both strains was determined by label-free quantification using the spectral counting method. Although expression level of most proteins were similar, several significant alterations in metabolic network were identified in the high GFP-producing strain. These changes include alterations in the pyruvate fermentation pathway, oxidative pentose phosphate pathway, and de novo synthesis pathway for pyrimidine RNA. Expression of enzymes for the synthesis of dTDP-rhamnose and N-acetylglucosamine from glucose was suppressed in the high GFP strain. In addition, enzymes involved in the amino acid synthesis or interconversion pathway were downregulated. The most noticeable changes in the high GFP-producing strain were a 3.4-fold increase in the expression of stress response and chaperone proteins and increase of caseinolytic peptidase family proteins. Characterization of these host expression changes witnessed during overexpression of GFP was might suggested the metabolic requirements and networks that may limit protein expression, and will aid in the future development of lactococcal hosts to produce more heterologous protein.

키워드

참고문헌

  1. Metchnikoff E. 1995. Prolongation of Life. William Heinemann, London. UK.
  2. Sanders ME. 1998. Overview of functional foods: emphasis on probiotic bacteria. Int. Dairy J. 8: 341-347. https://doi.org/10.1016/S0958-6946(98)00056-9
  3. Wells JM, Robinson K, Chamberlain LM, Schofield KM, Le Page RW. 1996. Lactic acid bacteria as vaccine delivery vehicles. Antonie Van Leeuwenhoek 70: 317-330. https://doi.org/10.1007/BF00395939
  4. Steidler L, Hans W, Schotte L, Neirynck S, Obermeier F, Falk W, et al. 2000. Treatment of murine colitis by Lactococcus lactis secreting interleukin-10. Science 289: 1352-1355. https://doi.org/10.1126/science.289.5483.1352
  5. Le Loir Y, Azevedo V, Oliveira SC, Freitas DA, Miyoshi A, Bermudez-Humaran LG, et al. 2005. Protein secretion in Lactococcus lactis: an efficient way to increase the overall heterologous protein production. Microb. Cell Fact. 4: 2. https://doi.org/10.1186/1475-2859-4-2
  6. Yeh CM, Huang XH, Sue CW. 2008. Functional secretion of a type 1 antifreeze protein analogue by optimization of promoter, signal peptide, prosequence, and terminator in Lactococcus lactis. J. Agric. Food Chem. 56: 8442-8450. https://doi.org/10.1021/jf801580s
  7. Berlec A, Tompa G, Slapar N, Fonovic UP, Rogelj I, Strukelj B. 2008. Optimization of fermentation conditions for the expression of sweet-tasting protein brazzein in Lactococcus lactis. Lett. Appl. Microbiol. 46: 227-231. https://doi.org/10.1111/j.1472-765X.2007.02297.x
  8. Morello E, Bermudez-Humaran LG, Llull D, Sole V, Miraglio N, Langella P, Poquet I. 2008. Lactococcus lactis, an efficient cell factory for recombinant protein production and secretion. J. Mol. Microbiol. Biotechnol. 14: 48-58. https://doi.org/10.1159/000106082
  9. Le Loir Y, Azevedo V, Oliveira SC, Freitas DA, Miyoshi A, Bermudez-Humaran LG, et al. 2005. Protein secretion in Lactococcus lactis: an efficient way to increase the overall heterologous protein production. Microb. Cell Fact. 4: 2. https://doi.org/10.1186/1475-2859-4-2
  10. Kim JH, Mills DA. 2007. Improvement of a nisin-inducible expression vector for use in lactic acid bacteria. Plasmid. 58: 275-283. https://doi.org/10.1016/j.plasmid.2007.05.004
  11. Lan CQ, Oddone G, Mills DA, Block DE. 2006. Kinetics of Lactococcus lactis growth and metabolite formation under aerobic and anaerobic conditions in the presence or absence of hemin. Biotechnol. Bioeng. 95: 1070-1080. https://doi.org/10.1002/bit.21070
  12. Mierau I, Olieman K, Mond J, Smid EJ. 2005. Optimization of the Lactococcus lactis nisin-controlled gene expression system NICE for industrial applications. Microb. Cell Fact. 4: 16. https://doi.org/10.1186/1475-2859-4-16
  13. Oddone GM, Lan CQ, Rawsthorne H, Mills DA, Block DE. 2007. Optimization of fed-batch production of the model recombinant protein GFP in Lactococcus lactis. Biotechnol. Bioeng. 96: 1127-1138. https://doi.org/10.1002/bit.21192
  14. Rawsthorne H, Turner KN, Mills DA. 2006. Multicopy integration of heterologous genes, using the lactococcal group II intron targeted to bacterial insertion sequences. Appl. Environ. Microbiol. 72: 6088-6093. https://doi.org/10.1128/AEM.02992-05
  15. Zhang GY, Mills DA, Block DE. 2009. Development of chemically defined media supporting high-cell-density growth of lactococci, enterococci, and streptococci. Appl. Environ. Microbiol. 75: 1080-1087. https://doi.org/10.1128/AEM.01416-08
  16. Zhang GY, Block DE. 2009. Using highly efficient nonlinear experimental design methods for optimization of Lactococcus lactis fermentation in chemically defined media. Biotechnol. Prog. 25: 1587-1597.
  17. Samoilis G, Psaroulaki A, Vougas K, Tselentis Y, Tsiotis G. 2007. Analysis of whole cell lysate from the intercellular bacterium Coxiella burnetii using two gel-based protein separation techniques. J. Proteome Res. 6: 3032-3041. https://doi.org/10.1021/pr070077n
  18. Schmid AK, Lipton MS, Mottaz H, Monroe ME, Smith RD, Lidstrom ME. 2005. Global whole-cell FTICR mass spectrometric proteomics analysis of the heat shock response in the radioresistant bacterium Deinococcus radiodurans. J. Proteome Res. 4: 709-718. https://doi.org/10.1021/pr049815n
  19. de Godoy LMF, Olsen JV, Cox J, Nielsen ML, Hubner NC, Frohlich F, et al. 2008. Comprehensive mass spectrometry based proteome quantification of haploid versus diploid yeast. Nature 455: 1251-1260. https://doi.org/10.1038/nature07341
  20. Jerez CA. 2008. The use of genomics, proteomics and other OMICS technologies for the global understanding of biomining microorganisms. Hydrometallurgy 94: 162-169. https://doi.org/10.1016/j.hydromet.2008.05.032
  21. Shah HN, Keys CJ, Schmid O, Gharbia SE. 2002. Matrix assisted laser desorption/ionization time-of-flight mass spectrometry and proteomics: a new era in anaerobic microbiology. Clin. Infect. Dis. 35: S58-S64. https://doi.org/10.1086/341922
  22. Blow N. 2008. Mass spectrometry and proteomics: hitting the mark. Nat. Methods 5: 741-747. https://doi.org/10.1038/nmeth0808-741
  23. Ahrends R, Pieper S, Kuhn A, Weisshoff H, Hamester M, Lindemann T, et al. 2007. A metal-coded affinity tag approach to quantitative proteomics. Mol. Cell. Proteomics 6: 1907-1916. https://doi.org/10.1074/mcp.M700152-MCP200
  24. Delahunty CM, Yates JR. 2007. MudPIT: multidimensional protein identification technology. Biotechniques 43: 563.
  25. Gerber SA, Rush J, Stemman O, Kirschner MW, Gygi SP. 2003. Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS. Proc. Natl. Acad. Sci. USA 100: 6940-6945. https://doi.org/10.1073/pnas.0832254100
  26. Old WM, Meyer-Arendt K, Aveline-Wolf L, Pierce KG, Mendoza A, Sevinsky JR, et al. 2005. Comparison of labelfree methods for quantifying human proteins by shotgun proteomics. Mol. Cell. Proteomics 4: 1487-1502. https://doi.org/10.1074/mcp.M500084-MCP200
  27. Ong SE, Blagoev B, Kratchmarova I, Kristensen DB, Steen H, Pandey A, Mann M. 2002. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol. Cell. Proteomics 1: 376-386. https://doi.org/10.1074/mcp.M200025-MCP200
  28. Putz S, Reinders J, Reinders Y, Sickmann A. 2005. Mass spectrometry-based peptide quantification: applications and limitations. Expert Rev. Proteomics 2: 381-392. https://doi.org/10.1586/14789450.2.3.381
  29. Bolotin A, Wincker P, Mauger S, Jaillon O, Malarme K, Weissenbach J, et al. 2001. The complete genome sequence of the lactic acid bacterium Lactococcus lactis ssp. lactis IL1403. Genome Res. 11: 731-753. https://doi.org/10.1101/gr.GR-1697R
  30. Paoletti AC, Parmely TJ, Tomomori-Sato C, Sato S, Zhu DX, Conaway RC, et al. 2006. Quantitative proteomic analysis of distinct mammalian mediator complexes using normalized spectral abundance factors. Proc. Natl. Acad. Sci. USA 103: 18928-18933. https://doi.org/10.1073/pnas.0606379103
  31. Sardiu ME, Cai Y, Jin JJ, Swanson SK, Conaway RC, Conaway JW, et al. 2008. Probabilistic assembly of human protein interaction networks from label-free quantitative proteomics. Proc. Natl. Acad. Sci. USA 105: 1454-1459. https://doi.org/10.1073/pnas.0706983105
  32. Zybailov BL, Florens L, Washburn MP. 2007. Quantitative shotgun proteomics using a protease with broad specificity and normalized spectral abundance factors. Mol. Biosyst. 3: 354-360. https://doi.org/10.1039/b701483j
  33. Quadri LEN. 2002. Regulation of antimicrobial peptide production by autoinducer-mediated quorum sensing in lactic acid bacteria. Antonie Van Leeuwenhoek 82: 133-145. https://doi.org/10.1023/A:1020624808520
  34. Simon D, Chopin A. 1988. Construction of a vector plasmid family and its use for molecular-cloning in Streptococcus lactis. Biochimie 70: 559-566. https://doi.org/10.1016/0300-9084(88)90093-4
  35. Lechatelier E, Ehrlich SD, Janniere L. 1994. The pAM${\beta}$1 CopF repressor regulates plasmid copy number by controlling transcription of the repE gene. Mol. Microbiol. 14: 463-471. https://doi.org/10.1111/j.1365-2958.1994.tb02181.x
  36. Wang Z, Xiang L, Shao J, Wegrzyn A, Wegrzyn G. 2006. Effects of the presence of ColE1 plasmid DNA in Escherichia coli on the host cell metabolism. Microb. Cell Fact. 5: 34. https://doi.org/10.1186/1475-2859-5-34
  37. Bentley WE, Mirjalili N, Andersen DC, Davis RH, Kompala DS. 1990. Plasmid encoded protein - the principal factor in the metabolic burden associated with recombinant bacteria. Biotechnol. Bioeng. 35: 668-681. https://doi.org/10.1002/bit.260350704
  38. Chapot-Chartier MP, Vinogradov E, Sadovskaya I, Andre G, Mistou MY, Trieu-Cuot P, et al. 2010. Cell surface of Lactococcus lactis is covered by a protective polysaccharide pellicle. J. Biol. Chem. 285: 10464-10471. https://doi.org/10.1074/jbc.M109.082958
  39. Frees D, Ingmer H. 1999. ClpP participates in the degradation of misfolded protein in Lactococcus lactis. Mol. Microbiol. 31: 79-87. https://doi.org/10.1046/j.1365-2958.1999.01149.x
  40. Oddone GM, Mills DA, Block DE. 2009. Dual inducible expression of recombinant GFP and targeted antisense RNA in Lactococcus lactis. Plasmid 62: 108-118. https://doi.org/10.1016/j.plasmid.2009.06.002