Unknown

Dataset Information

Implementation of a <i>Clostridium luticellarii</i> genome-scale model for upgrading syngas fermentations.


ABSTRACT: Syngas fermentation is a powerful platform for converting waste streams into sustainable carboxylic acid precursors for value-added biochemicals. Steel mills produce significant syngas, yet industrial microbial syngas valorization remains unrealized. The most promising syngas-converting biocatalysts consist of Clostridia species, such as Clostridium kluyveri, Clostridium autoethanogenum, and Clostridium ljungdahlii. Clostridium luticellarii, a recently discovered species, shares close phylogenetic ties with these organisms. Preliminary metabolic studies suggest its potential for syngas acetogenesis as well as chain elongation. In this study, we create iSJ444, a constraint-based metabolic model of C. luticellarii using iHN637 of a clos

SUBMITTER: Scott WT 

PROVIDER: S-EPMC11880719 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature