Technical versus biological variability in a synthetic human gut community.
Charlotte van de VeldeClémence JosephKenneth SimoensJeroen RaesKristel BernaertsKaroline FaustPublished in: Gut microbes (2023)
Synthetic communities grown in well-controlled conditions are an important tool to decipher the mechanisms driving community dynamics. However, replicate time series of synthetic human gut communities in chemostats are rare, and it is thus still an open question to what extent stochasticity impacts gut community dynamics. Here, we address this question with a synthetic human gut bacterial community using an automated fermentation system that allows for a larger number of biological replicates. We collected six biological replicates for a community initially consisting of five common gut bacterial species that fill different metabolic niches. After an initial 12 hours in batch mode, we switched to chemostat mode and observed the community to stabilize after 2-3 days. Community profiling with 16S rRNA resulted in high variability across replicate vessels and high technical variability, while the variability across replicates was significantly lower for flow cytometric data. Both techniques agree on the decrease in the abundance of Bacteroides thetaiotaomicron , accompanied by an initial increase in Blautia hydrogenotrophica . These changes occurred together with reproducible metabolic shifts, namely a fast depletion of glucose and trehalose concentration in batch followed by a decrease in formic acid and pyruvic acid concentrations within the first 12 hours after the switch to chemostat mode. In conclusion, the observed variability in the synthetic bacterial human gut community, as assessed with 16S rRNA gene sequencing, is largely due to technical variability. The low variability seen in HPLC and flow cytometry data suggests a highly deterministic system.
Keyphrases
- mental health
- endothelial cells
- healthcare
- induced pluripotent stem cells
- flow cytometry
- pluripotent stem cells
- single cell
- ms ms
- big data
- electronic health record
- genome wide
- gene expression
- weight loss
- blood pressure
- dna methylation
- metabolic syndrome
- insulin resistance
- copy number
- adipose tissue
- high performance liquid chromatography