Cited by 216Microbial Metabolic Engineering and BioproductionMicrobial metabolism and enzyme functionCatalysts for Methane Reforming

Metabolic engineering strategies to enable microbial utilization of C1 feedstocks

Jiang, Wei, Hernández Villamor, David, Peng, Huadong, Chen, Jian, Liu, Long, Haritos, Victoria, Ledesma-Amaro, Rodrigo·2021·Nature Chemical Biology

Abstract

One-carbon (C1) substrates are preferred feedstocks for the biomanufacturing industry and have recently gained attention owing to their natural abundance, low production cost and availability as industrial by-products. However, native pathways to utilize these substrates are absent in most biotechnologically relevant microorganisms. Recent advances in synthetic biology, genome engineering and laboratory evolution are enabling the first steps towards the creation of synthetic C1-utilizing microorganisms. Here, we briefly review the native metabolism of methane, methanol, CO 2, CO and formate, and how these C1-utilizing pathways can be engineered into heterologous hosts. In addition, this review analyses the potential, the challenges and the perspectives of C1-based biomanufacturing.

Integrity signals

Registry

Crossref · 10.1038/s41589-021-00836-0

Cites

121 of 121 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Metabolic engineering can enable microbial utilization of CO2, CH4, and other C1 feedstocks for production of microbial proteins rich in essential amino acids.

    “Other novel biotechnology strategies include metabolic engineering to enable microbial utilization of using CO2, CH4, and other C1 feedstocks for the production of microbial proteins rich in essential amino acids.139,140”

    From Technologies and perspectives for achieving carbon neutrality (2021) · cites this paper as [140]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Jiang, W., Hernández Villamor, D., Peng, H., Chen, J., Liu, L., Haritos, V., & Ledesma-Amaro, R.
Affiliations
  • Imperial College London (GB)
  • Jiangnan University (CN)
  • Monash University (AU)
Venue
Nature Chemical Biology
Published
2021-07-26
Volume
17
Issue
8
Pages
845-855
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W3185130928
Cited by
216
References
121
Citations by year
2026: 38 · 2025: 64 · 2024: 39 · 2023: 36 · 2022: 31 · 2021: 8
FWCI
2.99
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Chemical Biology (publishedVersion)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
  • Spiral (Imperial College London) (submittedVersion)
Funders
Biotechnology and Biological Sciences Research Council (BB/R01602X/1, BB/T011408/1, BB/T013176/1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial metabolism and enzyme function
  • Physical Sciences › Chemical Engineering › Catalysis › Catalysts for Methane Reforming
Keywords
C1 feedstock, metabolic engineering, synthetic biology, methane metabolism, methanol metabolism, CO2 fixation, carbon monoxide metabolism, formate metabolism, heterologous expression, genome editing, experimental evolution
MeSH terms
Methanol, Bacteria, Carbon Dioxide, Carbon Monoxide, Formates, Fungi, Methane, 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 ›

Are you an author, or do you see a problem with this page? Request a review