Evidence map›Paper›PMID 41697148›Full record

ArticleJournal of industrial microbiology & biotechnology2026

Multicriteria evaluation of ethylene glycol assimilation pathways.

Michelle Feigis, Radhakrishnan Mahadevan

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Michelle FeigisUniversity of Toronto, Department of Chemical Engineering and Applied Chemistry, Toronto, Ontario M5S 3E4, Canada.ORCID 0000-0002-7202-8366
Radhakrishnan MahadevanUniversity of Toronto, Department of Chemical Engineering and Applied Chemistry, Toronto, Ontario M5S 3E4, Canada.ORCID 0000-0002-1270-9063

Funding

Natural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Biomanufacturing can play a pivotal role in the transition away from fossil fuel dependence for the production of chemicals and fuels. There is growing interest in inexpensive alternative bioproduction feedstocks from renewable sources that avoid competing with food production for land use. Ethylene glycol (EG), a C2 compound that can be recovered from plastic waste or derived from carbon dioxide, is gaining attention as a carbon source for microbial processes. Here, we systematically evaluate natural and synthetic metabolic pathways for EG assimilation using theoretical modeling approaches. We analyzed five pathways for their maximum theoretical yields, thermodynamic favourability, enzyme costs, and orthogonality to cell growth and identify favourable traits for each of these pathways for a given product. Our results reveal distinct trade-offs between pathway types. Synthetic pathways achieved higher theoretical yields for biomass and most bioproducts, with synthetic glycolaldehyde assimilation (SAGA) pathways showing the best overall yields and the synthetic acetyl-CoA assimilation (SACA) pathway demonstrating the highest thermodynamic favourability and lowest enzyme costs. Among natural pathways, the glycerate pathway exhibited favourable thermodynamics and moderate enzyme costs comparable to synthetic alternatives, while being particularly advantageous for glycolate production despite carbon losses. The β-hydroxyaspartate cycle (BHAC) showed the poorest thermodynamic performance and highest enzyme burden. However, natural pathways exhibited equal or higher orthogonality to growth-associated reactions, making them potentially suitable for dynamically controlled production systems. These findings provide guidance for selecting optimal EG assimilation strategies based on target products and process requirements, supporting the development of sustainable bioprocesses utilizing this promising unconventional feedstock. One-sentence summary This article reviews and compares metabolic pathways for the utilization of the compound EG in the context of bioproduction.

Indexed as

Ethylene GlycolMetabolic Networks and PathwaysBiomassMetabolic EngineeringThermodynamicsEthylene Glycolalternative feedstocksethylene glycolmetabolic engineeringsynthetic biology

Identifiers

PMID41697148
PMCPMC12994477

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.