Advances and prospects in metabolic engineering of Zymomonas mobilis
Open accessAbstract
Biorefinery of biomass-based biofuels and biochemicals by microorganisms is a competitive alternative of traditional petroleum refineries. Zymomonas mobilis is a natural ethanologen with many desirable characteristics, which makes it an ideal industrial microbial biocatalyst for commercial production of desirable bioproducts through metabolic engineering. In this review, we summarize the metabolic engineering progress achieved in Z. mobilis to expand its substrate and product ranges as well as to enhance its robustness against stressful conditions such as inhibitory compounds within the lignocellulosic hydrolysates and slurries. We also discuss a few metabolic engineering strategies that can be applied in Z. mobilis to further develop it as a robust workhorse for economic lignocellulosic bioproducts. In addition, we briefly review the progress of metabolic engineering in Z. mobilis related to the classical synthetic biology cycle of "Design-Build-Test-Learn", as well as the progress and potential to develop Z. mobilis as a model chassis for biorefinery practices in the synthetic biology era.
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Z. mobilis naturally converts up to 96% of glucose into ethanol.
“It naturally converts up to 96% of glucose into ethanol and can be engineered to produce other valuable bioproducts, such as isobutanol and isoprenoids (5–11).”
From Physiological and metabolic responses of <i>Zymomonas mobilis</i> to lignocellulosic hydrolysate (2025) · cites this paper as [11]
Z. mobilis can be engineered to produce other valuable bioproducts, such as isobutanol and isoprenoids.
“It naturally converts up to 96% of glucose into ethanol and can be engineered to produce other valuable bioproducts, such as isobutanol and isoprenoids (5–11).”
From Physiological and metabolic responses of <i>Zymomonas mobilis</i> to lignocellulosic hydrolysate (2025) · cites this paper as [11]
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Self-citation
- Authors
- Wang, X., He, Q., Yang, Y., Wang, J., Haning, K., Hu, Y., Wu, B., He, M., Zhang, Y., Bao, J., Contreras, L. M., & Yang, S.
- Affiliations
- Hubei University (CN)
- The University of Texas at Austin (US)
- Biogas Institute of Ministry of Agriculture (CN)
- University of Wisconsin–Madison (US)
- East China University of Science and Technology (CN)
- Corresponding author
- Contreras, Lydia M.
- Yang, Shihui
- ORCID
- Venue
- Metabolic Engineering
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 50
- Pages
- 57-73
- ISSN
- 1096-7176 (ISSN-L)
- OpenAlex
- W2796406316
- Cited by
- 154
- References
- 248
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 20 · 2023: 16 · 2022: 16 · 2021: 37 · 2020: 23 · 2019: 18 · 2018: 3
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Metabolic Engineering (acceptedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation (CBET-1254754)
- Welch Foundation (F-1756, DGE-1610403)
- Office of Science (DE-SC0018409, BER DE-FC02-07ER64494)
- Great Lakes Bioenergy Research Center
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Biochemical and biochemical processes
- Keywords
- Zymomonas mobilis, lignocellulosic biomass, biofuels, bio-based chemicals, ethanol production, inhibitors, lignocellulosic hydrolysates, synthetic biology, chassis organisms, biorefinery, microbial biocatalysts
- MeSH terms
- Lignin, Zymomonas, Synthetic Biology, Metabolic Engineering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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