Translational activity is uncoupled from nucleic acid content in bacterial cells of the human gut microbiota

Abstract Background Changes in bacterial diversity in the human gut microbiome, characterized primarily though DNA sequencing methods, have been associated with many different adverse health conditions. However, these changes do not always reflect changes in bacterial activity, and thus how the gut microbiome is implicated in disease is still not often understood. New methods that link together bacterial function to bacterial identity are needed to further explore the role of the gut microbiome in health and disease. We optimized bioorthogonal non-canonical amino acid tagging (BONCAT) for the gut microbiota and combined it with fluorescently activated cell sorting and sequencing (FACS-Seq) to identify the translationally active members of the community. We then used this novel technique to compare and contrast to other methods of bulk community measurements of activity and viability: physiological staining of relative nucleic acid content and membrane damage. Relative nucleic acid content has previously been linked to metabolic activity, yet remains currently undefined for the human gut microbiota. Results Ten healthy, unrelated individuals were sampled to determine the proportion and diversity of distinct physiological fractions of their gut microbiota. The translationally active bacteria represent about half of the gut microbiota, and are not distinct from the whole community. The high nucleic acid content (HNA) bacteria also represent about half of the gut microbiota, but are distinct from the whole community and correlate with the damaged subset. Perturbing the community with xenobiotics previously shown to alter bacterial activity but not diversity resulted in stronger changes in the distinct physiological fractions than in the whole community. Conclusions BONCAT is a suitable method to probe the translationally active members of the human gut microbiota, and combined with FACS-Seq, allows for their identification. The high nucleic acid content bacteria are not necessarily the protein-producing bacteria in the community, and so further work is needed to understand the relationship between nucleic acid content and bacterial metabolism in the human gut. Taking into account physiologically distinct subsets of the gut microbiota may be more informative than relying on whole community profiling.