Metabolomics investigation of recombinant mTNFaα production in Streptomyces lividans

Muhamadali, Howbeer and Xu, Yun and Ellis, David I. and Trivedi, Drupad K. and Rattray, Nicholas J. W. and Bernaerts, Kristel and Goodacre, Royston (2015) Metabolomics investigation of recombinant mTNFaα production in Streptomyces lividans. Microbial Cell Factories, 14. 157. ISSN 1475-2859 (https://doi.org/10.1186/s12934-015-0350-1)

[thumbnail of Muhamadali-etal-MCF-2015-Metabolomics-investigation-of-recombinant-mTNFa-production]
Preview
Text. Filename: Muhamadali_etal_MCF_2015_Metabolomics_investigation_of_recombinant_mTNFa_production.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (2MB)| Preview

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.