Back

Exploring the Evolution of the Cariogenic Oral Pathobiont Streptococcus mutans Using Ancient DNA

Michel, M.; Valuena, A. A.; Akar, M.; Alonso-Fernandez, C.; Calmet, M. A.; Andreadaki-Vlazaki, M.; Jimenez, G. A.; Banffy, E.; Barquera, R.; Barreto-Romero, M.; Fuello, P. B.; Bedford, S.; Belinkskiy, A. B.; Berezina, N.; Boyadzhiev, K.; Boyadzhiev, Y.; Buzhilova, A.; Cappuccini, L.; Huamani, J. E. C.; Beltran, E. C.; Clark, G.; Daubaras, M.; Ibanez, P. d. M.; Bonilla, M. D.-Z.; Dobes, M.; Dresely, V.; Erdal, Y. S.; Ernee, M.; Ferraz, T.; Figuti, L.; Farre, J. F.; Flexner, J. L.; Friederich, S.; Gaffney, D.; Atienzar, G. G.; Pena, R. G.; Gomez-Valdes, J. A.; Gradoli, M. G.; Guardia i Llorens,

2025-12-04 evolutionary biology
10.64898/2025.12.02.691581 bioRxiv
Show abstract

The oral pathobiont Streptococcus mutans can contribute to dental caries development through metabolism of dietary carbohydrates. Adoption of carbohydrate-rich agricultural diets is associated with increased prevalence of dental caries in archaeological populations; however, the evolutionary impact of changing subsistence strategies on cariogenic microbes like S. mutans remains to be explored. Here, we use a novel hybridization capture reagent to generate genome-wide ancient DNA data from a global set of 75 S. mutans strains spanning the last 8,000 years. Most virulence-associated genes predate the origins of agriculture; however, we highlight loci regulating genetic competence, bacteriocin production, and biofilm formation which are absent in 5 strains from pre-agricultural ancient hunter-gatherers, suggesting that their acquisition may have been associated with adaptation to carbohydrate-rich agricultural diets. Together, our study highlights ancient DNA as a promising tool for exploring the dynamic interplay between subsistence strategy, microbes, and dental pathology in human populations through time.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.