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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Synthetic methylotrophy - engineering microbes to live on one-carbon compounds

Authors: Bharath. S, Neelesh Mishra;

Synthetic methylotrophy - engineering microbes to live on one-carbon compounds

Abstract

Synthetic methylotrophy is an innovative approach that enables microbes to use methanol—a low-cost, non-food carbon source—for the production of fuels, chemicals, and pharmaceuticals. By engineering well-known microorganisms, such as Escherichia coli and Corynebacterium glutamicum, to utilize methanol through the ribulose monophosphate (RuMP) cycle, researchers have significantly improved methanol incorporation into central metabolites. Adaptive Laboratory Evolution (ALE) has further optimized these strains, enhancing their ability to grow and tolerate methanol. This advancement opens up new opportunities for sustainable bio-manufacturing, reducing dependence on sugar-based feedstocks and offering an environmentally friendly alternative. As research continues, the integration of gene editing and metabolic control will drive the development of robust, high-performance methylotrophic platforms, making methanol a key feedstock for a circular, carbon-neutral bio-economy.

Keywords

Methylobacterium, Adaptive Laboratory Evolution, methylotrophy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average