Metabolomics investigation of recombinant mTNFaα production in Streptomyces lividans

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Abstract

Background: Whilst undergoing differentiation, Streptomyces produce a large quantity of hydrolytic enzymes and secondary metabolites, and it is this very ability that has focussed increasing interest on the use of these bacteria as hosts for the production of various heterologous proteins. However, within this genus, the exploration and understanding of the metabolic burden associated with such bio-products has only just begun. In this study our overall aim was to apply metabolomics approaches as tools to get a glimpse of the metabolic alterations within S. lividans TK24 when this industrially relevant microbe is producing recombinant murine tumour necrosis factor alpha (mTNFaα), in comparison to wild type and empty (non-recombinant protein containing) plasmid-carrying strains as controls. Results: Whilst growth profiles of all strains demonstrated comparable trends, principal component-discriminant function analysis of Fourier transform infrared (FT-IR) spectral data, showed clear separation of wild type from empty plasmid and mTNFaα-producing strains, throughout the time course of incubation. Analysis of intra- and extra-cellular metabolic profiles using gas chromatography-mass spectrometry (GC-MS) displayed similar trends to the FT-IR data. Although the strain carrying the empty plasmid demonstrated metabolic changes due to the maintenance of the plasmid, the metabolic behaviour ofthe recombinant mTNFaα-producing strain appeared to be the most significantly affected. GC-MS results also demonstrated a significant overflow of several organic acids (pyruvate, 2-ketoglutarate and propanoate) and sugars (xylitol, mannose and fructose) in the mTNFaα-producing strain. Conclusion: The results obtained in this study have clearly demonstrated the metabolic impacts of producing mTNFaα in S. lividans TK24, while displaying profound metabolic effects of harbouring the empty PIJ486 plasmid. In addition, the level of mTNFaα produced in this study, further highlights the key role of media composition towards the efficiency of a bioprocess and metabolic behaviour of the host cells, which directly influences the yield of the recombinant product.

Figures

  • Fig. 2 PC-DFA results of FT-IR spectra collected from different S. lividans TK24 strains at various time points during growth on minimal medium. Eight biological replicates and three technical replicates were used to generate the model which accounted for 99.8 % of the variance (20 PCs). Different colours represent different strains [wild (W, red), empty plasmid containing (E, green) and protein producing (T, blue) strains]. Empty symbols represent the projected validation data, and time points are displayed as different symbols (48 h circle, 72 h square and 96 h triangle). Coloured arrows represent the direction of separation according to incubation time
  • Fig. 1 Growth profiles (DCW) of different S. lividans TK24 strains grown on minimal medium, wild (W, red line), empty plasmid containing (E, green line) and protein producing (T, blue line) strains. mTNFα level produced by the protein producing strain was quantified by ELISA (orange dashed line). DCW measurements are presented as means of eight biological replicates for each strain. Errors bars indicate standard deviations. The ELISA results are presented as means of three biological replicates
  • Fig. 3 CPCA-W scores plots of the strain-blocked GC–MS metabolic profiles data. The scores plots for each of the strain-blocked data are presented on a–c plots, where samples taken at separate time points are presented by different coloured circles. The dashed arrows display the direction of the separation according to incubation time. Different letters on each plot indicate the S. lividans strains; wild (W), empty plasmid (E), and mTNF-producing (T)
  • Fig. 4 CPCA-W super scores plots of GC–MS metabolic profiles. a Super scores plot of the strain-blocked model, different coloured symbols indicate sampling time. b Super scores plot of the time-blocked model, where coloured symbols represent different S. lividans strains
  • Fig. 5 CPCA-W scores plots of the time-blocked GC–MS metabolic profiles data. The scores plots for each of the time-blocked data are presented on a–d plots, where different coloured circles present different S. lividans strains
  • Fig. 6 The relative peak areas (box plots) of the significant metabolites identified by CPCA-W of cell extracts and footprints GC–MS data are plotted onto the metabolic map of S. lividans TK24. Different colours of the box plots indicate different strains, wild (W, red), empty plasmid (E, green) and mTNFα-producer (T, blue). While the numbers 1–4 represent separate sampling time points, 24, 48, 72 and 96 h respectively. Different coloured arrows represent the potential contribution of each substrate towards various metabolites and pathways

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Muhamadali, H., Xu, Y., Ellis, D. I., Trivedi, D. K., Rattray, N. J. W., Bernaerts, K., & Goodacre, R. (2015). Metabolomics investigation of recombinant mTNFaα production in Streptomyces lividans. Microbial Cell Factories, 14(1). https://doi.org/10.1186/s12934-015-0350-1

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