QUALITATIVE METABOLITE PROFILING OF GENETICALLY MODIFIED Escherichia coli DURING XYLITOL PRODUCTION USING GC-MS
Keywords:
Metabolomics, Escherichia coli, GC-MS, Xylitol, Amino AcidAbstract
Many studies have been done by metabolically modifying Escherichia coli to produce elevated levels of xylitol. While there have been some positive results, the xylitol yield is still not at par with that produced via the chemical route. This study employed GC-MS, combined with multivariate analysis to qualitatively profile the metabolites found in genetically modified E. coli (pgi+xpdh) for xylitol production with glucose as substrate. It was found that over time, xylitol level increased, with the peak intensity at 24h being the highest. This was parallel with the optical density (OD) value, which also increased over time, indicating that as the cell grew, more xylitol was generated. Top contributing metabolites were identified and subjected to pathway analysis, revealing that amino acids may have a significant role in xylitol production. The findings from this study provide initial metabolomics input for enhancing recombinant E. coli strains in the biotechnological production of xylitol, whereby glucose is employed as primary substrate.
References
Queiroz, S. S., Jofre, F. M., Mussatto, S. I., & Maria das Graças, A. F. (2022). Scaling up xylitol bioproduction: challenges to achieve a profitable bioprocess. Renewable and Sustainable Energy Reviews, 154, 111789.
Rafiqul, I. S. M., & Sakinah, A. M. (2013). Processes for the production of xylitol—a review. Food Reviews International, 29, 2, 127-156.
Yu, C., Cao, Y., Zou, H., & Xian, M. (2011). Metabolic engineering of Escherichia coli for biotechnological production of high-value organic acids and alcohols. Applied microbiology and biotechnology, 89, 573-583.
Sakakibara, Y., Saha, B. C., & Taylor, P. (2009). Microbial production of xylitol from L-arabinose by metabolically engineered Escherichia coli. Journal of bioscience and bioengineering, 107, 5, 506-511.
Su, B., Wu, M., Zhang, Z., Lin, J., & Yang, L. (2015). Efficient production of xylitol from hemicellulosic hydrolysate using engineered Escherichia coli. Metabolic engineering, 31, 112-122.
Granström, T. B., Izumori, K., & Leisola, M. (2007). A rare sugar xylitol. Part II: biotechnological production and future applications of xylitol. Applied microbiology and biotechnology, 74, 273-276.
Abd Rahman, N. H., Jahim, J. M., Munaim, M. S. A., Rahman, R. A., Fuzi, S. F. Z., & Illias, R. M. (2020). Immobilization of recombinant Escherichia coli on multi-walled carbon nanotubes for xylitol production. Enzyme and microbial technology, 135, 109495.
Bed?, S., Fehér, A., Khunnonkwao, P., Jantama, K., & Fehér, C. (2021). Optimized bioconversion of xylose derived from pre-treated crop residues into xylitol by using Candida boidinii. Agronomy, 11, 1, 79.
Nitta, K., Laviña, W. A., Pontrelli, S., Liao, J. C., Putri, S. P., & Fukusaki, E. (2017). Orthogonal partial least squares/projections to latent structures regression-based metabolomics approach for identification of gene targets for improvement of 1-butanol production in Escherichia coli. Journal of bioscience and bioengineering, 124, 5, 498-505.
Ohtake, T., Pontrelli, S., Laviña, W. A., Liao, J. C., Putri, S. P., & Fukusaki, E. (2017). Metabolomics-driven approach to solving a CoA imbalance for improved 1-butanol production in Escherichia coli. Metabolic engineering, 41, 135-143.
Nitta, K., Laviña, W. A., Pontrelli, S., Liao, J. C., Putri, S. P., & Fukusaki, E. (2019). Metabolome analysis revealed the knockout of glyoxylate shunt as an effective strategy for improvement of 1-butanol production in transgenic Escherichia coli. Journal of bioscience and bioengineering, 127, 3, 301-308.
Hashim, Z., & Fukusaki, E. (2016, June). Metabolomics-based prediction models of yeast strains for screening of metabolites contributing to ethanol stress tolerance. In IOP Conference Series: Earth and Environmental Science (Vol. 36, No. 1, p. 012046). IOP Publishing.
Yoshida, R., Tamura, T., Takaoka, C., Harada, K., Kobayashi, A., Mukai, Y., & Fukusaki, E. (2010). Metabolomics?based systematic prediction of yeast lifespan and its application for semi?rational screening of ageing?related mutants. Aging cell, 9, 4, 616-625.
Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., & Xia, J. (2022). Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data. Nature protocols, 17, 8, 1735-1761.
Fuzi, S. F. Z. M., Zahari, F. A., Puay, O. H., Oon, L. K., & Abdullah, I. (2023). Screening Effect of Amino Acid on Xylitol Production By Recombinant Escherichia coli System. Journal of Bioprocessing and Biomass Technology, 2, 1, 43-47.
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