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Carbohydrates, including starches, are an important energy source for humans, and are known for their interactions with the microbiota in the digestive tract. Largely, those interactions are thought to promote human health. Using 16S ribosomal RNA (rRNA)-based stable isotope probing (SIP), we identified starch-fermenting bacteria under human colon-like conditions. To the microbiota of the TIM-2 in vitro model of the human colon 7.4 g l−1 of [U-13C]-starch was added. RNA extracted from lumen samples after 0 (control), 2, 4 and 8 h was subjected to density-gradient ultracentrifugation. Terminal-restriction fragment length polymorphism (T-RFLP) fingerprinting and phylogenetic analyses of the labelled and unlabelled 16S rRNA suggested populations related to Ruminococcus bromii, Prevotella spp. and Eubacterium rectale to be involved in starch metabolism. Additionally, 16S rRNA related to that of Bifidobacterium adolescentis was abundant in all analysed fractions. While this might be due to the enrichment of high-GC RNA in high-density fractions, it could also indicate an active role in starch fermentation. Comparison of the T-RFLP fingerprints of experiments performed with labelled and unlabelled starch revealed Ruminococcus bromii as the primary degrader in starch fermentation in the studied model, as it was found to solely predominate in the labelled fractions. LC-MS analyses of the lumen and dialysate samples showed that, for both experiments, starch fermentation primarily yielded acetate, butyrate and propionate. Integration of molecular and metabolite data suggests metabolic cross-feeding in the system, where populations related to Ruminococcus bromii are the primary starch degrader, while those related to Prevotella spp., Bifidobacterium adolescentis and Eubacterium rectale might be further involved in the trophic chain. [ABSTRACT FROM AUTHOR]

16S rRNA-based stable isotope probing (SIP) and nuclear magnetic resonance (NMR) spectroscopy-based metabolic profiling were used to identify bacteria fermenting glucose under conditions simulating the human intestine. The TIM-2 in vitro model of the human intestine was inoculated with a GI tract microbiota resembling that of the small intestine, to which subsequently 4, 20 or 40 mM of [U-13C]-glucose were added. RNA was extracted from lumen samples after 0 (control), 1, 2 and 4 h and subjected to density-gradient ultracentrifugation. Phylogenetic analysis of unlabeled 16S rRNA revealed a microbial community dominated by lactic acid bacteria and Clostridium perfringens. Distinct 13C-incorporation into bacterial RNA was only observed for the 40-mM addition. 16S rRNA fingerprinting showed an activity drop of Lactobacillus fermentum after glucose addition, while Streptococcus bovis and C. perfringens were identified as the most active glucose-fermenters. Accordingly, NMR analysis identified lactate, acetate, butyrate and formate as the principal fermentation products, constituting up to 91% of the 13C-carbon balance. RNA-SIP combined with metabolic profiling allowed us to detect differential utilization of a general model carbohydrate, indicating that this approach holds great potential to identify bacteria involved in the fermentation of dietary relevant oligo- and polymeric carbohydrates in the human intestine. [ABSTRACT FROM AUTHOR]