Sign in
Synthetic BiologyComputational and Structural Biotechnology Journal
Peer-reviewed journal article

Modeling a co-culture of Clostridium autoethanogenum and Clostridium kluyveri to increase syngas conversion to medium-chain fatty-acids

Sara Benito-VaquerizoiD, Martijn DienderiD, Ivette Parera OlmiD, Vítor A. P. Martins dos SantosiD, Peter J. SchaapiD, Diana Zita SousaiD, Maria Suarez DieziD

Abstract

Microbial fermentation of synthesis gas (syngas) is becoming more attractive for sustainable production of commodity chemicals. To date, syngas fermentation focuses mainly on the use of Clostridium species for the production of small organic molecules such as ethanol and acetate. The cocultivation of syngas-fermenting microorganisms with chain-elongating bacteria can expand the range of possible products, allowing, for instance, the production of medium-chain fatty acids (MCFA) and alcohols from syngas. To explore these possibilities, we report herein a genome-scale, constraint-based metabolic model to describe growth of a co-culture of Clostridium autoethanogenum and Clostridium kluyveri on syngas for the production of valuable compounds. Community flux balance analysis was used to gain insight into the metabolism of the two strains and their interactions, and to reveal potential strategies enabling production of butyrate and hexanoate. The model suggests that addition of succinate is one strategy to optimize the production of medium-chain fatty-acids from syngas with this co-culture. According to the predictions, addition of succinate increases the pool of crotonyl-CoA and the ethanol/acetate uptake ratio in C. kluyveri, resulting in the flux of up to 60% of electrons into hexanoate. Other potential way to optimize butyrate and hexanoate is to increase ethanol production by C. autoethanogenum. Deletion of either formate transport, acetaldehyde dehydrogenase or formate dehydrogenase (ferredoxin) from the metabolic model of C. autoethanogenum leads to a (potential) increase in ethanol production up to 150%, which is clearly very attractive.Competing Interest StatementThe authors have declared no competing interest.View Full Text

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
53
FWCI
2.35
Field percentile
top 10%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISScott '25Carneiro '26Benito-Vaqu '22Afzal '26Baleeiro '22Heffernan '20
78% semantic matchSystems Biology
William T. Scott, Siemen Rockx, Quinten Mariën+5 more·Computational and Structural Biotechnology Journal·Jan 1, 2025· 7 citations