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Metabolomics for industrial fermentation

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Abstract

Metabolomics is essential to understand the metabolism and identify engineering targets to improve the performances of strains and bioprocesses. Although numerous metabolomics techniques have been developed and applied to various organisms, the metabolome of Saccharopolyspora erythraea, a native producer of erythromycin, had never been studied. The 2017 best paper of Bioprocess and Biosystems Engineering reports examination of three methods for quenching and extraction to analyze the intracellular metabolome of S. erythraea, and identified the most reliable methods for studying different groups of the metabolites. Subsequent studies on the dynamics of the intracellular metabolome of S. erythraea during the fed-batch fermentation identified a positive correlation between the specific erythromycin production rate and the pool size of intracellular propionyl-CoA and other precursors of erythromycin. A series of follow-up studies, such as demonstrating the applicability of the quenching/extraction methods in other related antibiotic producers, demonstrating the generality of the best matches between the quenching/extraction methods and the metabolite groups, and combining metabolomics approaches with the fluxomics and systems metabolic engineering approaches, will facilitate the metabolomics studies on important antibiotic producers, enable standardization of the quenching/extraction protocols, and improve the performance of the antibiotic production with deeper insight into their metabolism.

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References

  1. Timmis K, de Vos WM, Ramos JL, Vlaeminck SE, Prieto A, Danchin A, Verstraete W, de Lorenzo V, Lee SY, Brussow H, Timmis JK, Singh BK (2017) The contribution of microbial biotechnology to sustainable development goals. Microb Biotechnol 10(5):984–987. https://doi.org/10.1111/1751-7915.12818

    Article  PubMed  PubMed Central  Google Scholar 

  2. Stephens E, Ross IL, Mussgnug JH, Wagner LD, Borowitzka MA, Posten C, Kruse O, Hankamer B (2010) Future prospects of microalgal biofuel production systems. Trends Plant Sci 15(10):554–564. https://doi.org/10.1016/j.tplants.2010.06.003

    Article  CAS  PubMed  Google Scholar 

  3. Yang D, Cho JS, Choi KR, Kim HU, Lee SY (2017) Systems metabolic engineering as an enabling technology in accomplishing sustainable development goals. Microb Biotechnol 10(5):1254–1258. https://doi.org/10.1111/1751-7915.12766

    Article  PubMed  PubMed Central  Google Scholar 

  4. Choi S, Song CW, Shin JH, Lee SY (2015) Biorefineries for the production of top building block chemicals and their derivatives. Metab Eng 28:223–239. https://doi.org/10.1016/j.ymben.2014.12.007

    Article  CAS  PubMed  Google Scholar 

  5. Majidian P, Tabatabaei M, Zeinolabedini M, Naghshbandi MP, Chisti Y (2017) Metabolic engineering of microorganisms for biofuel production. Renew Sustain Energy Rev 82:3863–3885

    Article  CAS  Google Scholar 

  6. Wilson SA, Roberts SC (2014) Metabolic engineering approaches for production of biochemicals in food and medicinal plants. Curr Opin Biotechnol 26:174–182. https://doi.org/10.1016/j.copbio.2014.01.006

    Article  CAS  PubMed  Google Scholar 

  7. Yadav VG, Stephanopoulos G (2014) Metabolic engineering: the ultimate paradigm for continuous pharmaceutical manufacturing. ChemSusChem 7(7):1847–1853. https://doi.org/10.1002/cssc.201301219

    Article  CAS  PubMed  Google Scholar 

  8. Lee SY, Kim HU (2015) Systems strategies for developing industrial microbial strains. Nat Biotechnol 33(10):1061–1072. https://doi.org/10.1038/nbt.3365

    Article  CAS  PubMed  Google Scholar 

  9. Lee SY, Lee DY, Kim TY (2005) Systems biotechnology for strain improvement. Trends Biotechnol 23(7):349–358. https://doi.org/10.1016/j.tibtech.2005.05.003

    Article  CAS  PubMed  Google Scholar 

  10. Hasunuma T, Sanda T, Yamada R, Yoshimura K, Ishii J, Kondo A (2011) Metabolic pathway engineering based on metabolomics confers acetic and formic acid tolerance to a recombinant xylose-fermenting strain of Saccharomyces cerevisiae. Microb Cell Fact 10(1):2. https://doi.org/10.1186/1475-2859-10-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Gold ND, Gowen CM, Lussier FX, Cautha SC, Mahadevan R, Martin VJ (2015) Metabolic engineering of a tyrosine-overproducing yeast platform using targeted metabolomics. Microb Cell Fact 14:73. https://doi.org/10.1186/s12934-015-0252-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Fiehn O (2002) Metabolomics—the link between genotypes and phenotypes. Plant Mol Biol 48(1–2):155–171

    Article  CAS  Google Scholar 

  13. Mashego MR, Rumbold K, De Mey M, Vandamme E, Soetaert W, Heijnen JJ (2007) Microbial metabolomics: past, present and future methodologies. Biotechnol Lett 29(1):1–16. https://doi.org/10.1007/s10529-006-9218-0

    Article  CAS  PubMed  Google Scholar 

  14. Wu L, Mashego MR, van Dam JC, Proell AM, Vinke JL, Ras C, van Winden WA, van Gulik WM, Heijnen JJ (2005) Quantitative analysis of the microbial metabolome by isotope dilution mass spectrometry using uniformly 13C-labeled cell extracts as internal standards. Anal Biochem 336(2):164–171. https://doi.org/10.1016/j.ab.2004.09.001

    Article  CAS  PubMed  Google Scholar 

  15. Hong M, Mou H, Liu X, Huang M, Chu J (2017) 13C-assisted metabolomics analysis reveals the positive correlation between specific erythromycin production rate and intracellular propionyl-CoA pool size in Saccharopolyspora erythraea. Bioprocess Biosyst Eng 40(9):1337–1348. https://doi.org/10.1007/s00449-017-1792-0

    Article  CAS  PubMed  Google Scholar 

  16. Barka EA, Vatsa P, Sanchez L, Gaveau-Vaillant N, Jacquard C, Meier-Kolthoff JP, Klenk HP, Clement C, Ouhdouch Y, van Wezel GP (2016) Taxonomy, physiology, and natural products of Actinobacteria. Microbiol Mol Biol Rev 80(1):1–43. https://doi.org/10.1128/MMBR.00019-15

    Article  PubMed  Google Scholar 

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Funding

This paper was prepared by the support of the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea.

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Correspondence to Sang Yup Lee.

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The authors declare that they have no conflict of interest.

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Choi, K.R., Kim, W.J. & Lee, S.Y. Metabolomics for industrial fermentation. Bioprocess Biosyst Eng 41, 1073–1077 (2018). https://doi.org/10.1007/s00449-018-1967-3

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  • DOI: https://doi.org/10.1007/s00449-018-1967-3

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