Evidence map›Paper›PMID 39090985›Full record

ArticleJournal of industrial microbiology & biotechnology2024

Evaluating the feasibility of medium-chain oleochemical synthesis using microbial chain elongation.

Ethan Agena, Ian M Gois, Connor M Bowers, Radhakrishnan Mahadevan, Matthew J Scarborough, Christopher E Lawson

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ethan AgenaDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON M5T 3E5, Canada.
Ian M GoisDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON M5T 3E5, Canada.
Connor M BowersDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON M5T 3E5, Canada.
Radhakrishnan MahadevanDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON M5T 3E5, Canada.ORCID 0000-0002-1270-9063
Matthew J ScarboroughDepartment of Civil and Environmental Engineering, University of Vermont, Burlington, VT 05405-0156, USA.
Christopher E LawsonDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON M5T 3E5, Canada.ORCID 0000-0002-3473-1640

Funding

Natural Sciences and Engineering Research Council of Canada ALLRP 580897-22
6 · The paper itself

Abstract

Chain elongating bacteria are a unique guild of strictly anaerobic bacteria that have garnered interest for sustainable chemical manufacturing from carbon-rich wet and gaseous waste streams. They produce C6-C8 medium-chain fatty acids, which are valuable platform chemicals that can be used directly, or derivatized to service a wide range of chemical industries. However, the application of chain elongating bacteria for synthesizing products beyond C6-C8 medium-chain fatty acids has not been evaluated. In this study, we assess the feasibility of expanding the product spectrum of chain elongating bacteria to C9-C12 fatty acids, along with the synthesis of C6 fatty alcohols, dicarboxylic acids, diols, and methyl ketones. We propose several metabolic engineering strategies to accomplish these conversions in chain elongating bacteria and utilize constraint-based metabolic modelling to predict pathway stoichiometries, assess thermodynamic feasibility, and estimate ATP and product yields. We also evaluate how producing alternative products impacts the growth rate of chain elongating bacteria via resource allocation modelling, revealing a trade-off between product chain length and class versus cell growth rate. Together, these results highlight the potential for using chain elongating bacteria as a platform for diverse oleochemical biomanufacturing and offer a starting point for guiding future metabolic engineering efforts aimed at expanding their product range. ONE-SENTENCE SUMMARY: In this work, the authors use constraint-based metabolic modelling and enzyme cost minimization to assess the feasibility of using metabolic engineering to expand the product spectrum of anaerobic chain elongating bacteria.

Indexed as

Fatty AcidsMetabolic EngineeringBacteriaFatty AlcoholsFeasibility StudiesMetabolic Networks and PathwaysFatty AcidsFatty AlcoholsAnaerobic bioproductionChain elongationCircular bioeconomyMetabolic engineeringMetabolic modellingResource allocation

Identifiers

PMID39090985
PMCPMC11388927

What OpenQuestion holds

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Registered trials

None linked

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.