The DOI matches its Crossref record; 356 of the 363 references it cites were found in a registry or an index.
Recent advances in synthetic biology toolkits and metabolic engineering of Ralstonia eutropha H16 for production of value-added chemicals
Abstract
Ralstonia eutropha H16, a facultative chemolithoautotrophic Gram-negative bacterium, demonstrates remarkable metabolic flexibility by utilizing either diverse organic substrates or CO 2 as the sole carbon source, with H 2 serving as the electron donor under aerobic conditions. The capacity of carbon and energy metabolism of R. eutropha H16 enabled development of synthetic biology technologies and strategies to engineer its metabolism for biosynthesis of value-added chemicals. This review firstly outlines the development of synthetic biology tools tailored for R. eutropha H16, including construction of expression vectors, regulatory elements, and transformation techniques. The availability of comprehensive omics data (i.e., transcriptomic, proteomic, and metabolomic) combined with the fully annotated genome sequence provides a robust genetic framework for advanced metabolic engineering. These advancements facilitate efficient reprogramming metabolic network of R. eutropha. The potential of R. eutropha as a versatile microbial platform for industrial biotechnology is further underscored by its ability to utilize a wide range of carbon sources for the production of value-added chemicals through both autotrophic and heterotrophic pathways. The integration of state-of-the-art genetic and genomic engineering tools and strategies with high cell-density fermentation processes enables engineered R. eutropha as promising microbial cell factories for optimizing carbon fluxes and expanding the portfolio of bio-based products.
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“Any future advancement from the current conceptual stage is entirely contingent upon extensive and high-risk fundamental research and development across numerous areas.These include significantly more advanced synthetic biology toolkits, breakthroughs in metabolic engineering for precise and efficient target molecule synthesis, entirely new reactor designs for these novel bioprocesses, highly”
From Biofuels, E-Fuels, and Waste-Derived Fuels: Advances, Challenges, and Future Directions (2025) · cites this paper as [187]
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“Third-generation (algal [392]) and later-generation biofuels remain largely in R&D, with current production costs significantly higher than other options [179,180,187].”
From Biofuels, E-Fuels, and Waste-Derived Fuels: Advances, Challenges, and Future Directions (2025) · cites this paper as [187]
Citations
Cites
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Simon, R., Priefer, U. B., & Pühler, A. (1983) · Nature Biotechnology · doi:10.1038/nbt1183-784 · Cited by 7,171
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016
In Situ Formation of an Oxygen-Evolving Catalyst in Neutral Water Containing Phosphate and Co 2+
Kanan, M. W., & Nocera, D. G. (2008) · Science · doi:10.1126/science.1162018 · Cited by 4,124
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696
Kovach, M. E., Elzer, P. H., Hill, D. S., Robertson, G. T., Farris, M. A., Roop, R. M., & Peterson, K. M. (1995) · Gene · doi:10.1016/0378-1119(95)00584-1 · Cited by 3,384
Figurski, D. H., & Helinski, D. R. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.4.1648 · Cited by 3,284
Research works printed but not linked: 4
- Gottschalk, 1964, Verwertung von Fructose durch Hydrogenomonas H16 (I.), Archiv. Mikrobiol., 48, 95, 10.1007/BF00406600 · DOI
- Grunwald, 2015, Kinetic and stoichiometric characterization of organoautotrophic growth of R alstonia eutropha on formic acid in fed-batch and continuous cultures: Organoautotrophic growth of Ralstonia eutropha, J. Microbial. Biotechnol., 8, 155, 10.1111/1751-7915.12149 · DOI
- Lee, 2009, Diverse protein regulations on PHA formation in Ralstonia eutropha on short chain organic acids, Int. J. Biol. Sci., 215–225
- Ward, 2015, Chapter 11 - bacterial energy metabolism, 201
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Zhang, A., Cai, Y., Guo, L., Wang, C., Wa, Q., Xu, Y., Zhou, J. H., Fan, H., Li, Z., Long, X., et al. (2025) · SmartMat · doi:10.1002/smm2.70058 · Cited by 36
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Sun, S., Yang, S., Qiu, Y., Ding, J., Wang, W., Wu, F., & Chen, G. (2025) · National Science Review · doi:10.1093/nsr/nwaf517 · Cited by 19
Ma, C., Cheng, X., Wang, Y., Chen, K., Yihua, M., Lin, Y., Guo, K., & Zhu, Z. (2026) · Green Chemistry · doi:10.1039/d5gc05791d · Cited by 4
Self-citationYou, X., Zhang, L., Chen, L., Wang, H., Zou, H., Zhu, Z., & Zhao, G. (2026) · Foods · doi:10.3390/foods15101813 · Cited by 3
Metadata
- Authors
- Wang, Y., Tian, Y., Xu, D., Cheng, S., Li, W.-W., & Song, H.
- Affiliations
- Tianjin University (CN)
- Shenyang National Laboratory for Materials Science (CN)
- Zhejiang University (CN)
- University of Science and Technology of China (CN)
- Corresponding author
- Song, Hao
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2025-03
- Volume
- 79
- Pages
- 108516
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W4406229950
- Cited by
- 17
- References
- 363
- Citations by year
- 2026: 12 · 2025: 5
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biotechnology Advances (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Key Technologies Research and Development Program
- National Natural Science Foundation of China
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Physical Sciences › Environmental Science › Pollution › Microbial bioremediation and biosurfactants
- Keywords
- Ralstonia eutropha H16, synthetic biology toolkit, metabolic engineering, value-added chemicals, expression vectors, regulatory elements, transformation techniques, carbon metabolism, energy metabolism, omics data, genome annotation, microbial cell factories, bioproducts, industrial biotechnology
- MeSH terms
- Cupriavidus necator, Synthetic Biology, Metabolic Engineering
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