Overall, the gut microbiome turned out to be pretty stable. The mix of microbes—in terms of how many different kinds were there and how balanced they were—didn’t change all that much over time (within the same person). Some metrics, like “species richness”, stayed remarkably consistent from year to year. So, if someone had a diverse gut microbiome when the study started, they likely still did two years later. But when the team looked more closely at specific microbes, things got a little more nuanced. Some bacterial species were solid and predictable, showing up at steady levels in sample after sample. Others, however, were more variable Take a specific bug called Faecalibacterium prausnitzii, for example — this species showed up in almost every sample, but its abundance bounced all over the place. Thus, even a well-known gut resident can be a bit inconsistent.
And then there’s what the bacteria were genetically equipped to do. The team looked at the functional potential of the microbiome — the genes and metabolic pathways present in the DNA — involved in processes including breaking down carbohydrates or producing vitamins. While many core genes (those shared across most microbes) were pretty stable, the relative abundance of genes contributing to specific functions varied more. For example, the pathway for biotin production was relatively stable, while those involved in amino acid metabolism fluctuated more between time points.
One reason the gut microbiome manages to stay so stable is that many microbes can carry out the same functions —a concept known as functional redundancy. If one species dips in number, others with similar metabolic capabilities can pick up the slack, often because they access the same nutrients or produce overlapping metabolites. It’s like having several players who all know the same tune—even if one takes a break, the music doesn’t stop.
These findings have real implications for science and medicine. If a researcher wants to know whether someone has bacteria that can help fight inflammation, for example, one stool sample might give them a decent answer, but only for the most abundant or consistent bacteria. However, for detecting more subtle, variable microbial processes or transient taxa, sampling over time may be necessary to capture the full functional potential of the microbiome.