DOI: 10.1128/spectrum.00114-26 ISSN: 2165-0497
Strain-level genomic analysis of
Staphylococcus epidermidis
across multiple body sites in healthy females
Sandra Jablonska, Niru Shanbhag, Alex Kula, Catherine Putonti ABSTRACT
Staphylococcus epidermidis
is a ubiquitous skin commensal that also colonizes the nasal and oral cavities, as well as the gastrointestinal and urinary tracts. Although prior studies have found genetic variation between
S. epidermidis
from infections and commensal strains, prior studies also have found that individual strains can inhabit multiple sites within an individual. None of these studies, however, have considered urogenital isolates. Here, we collected samples from 76 healthy female participants and performed whole-genome sequencing on 114
S. epidermidis
isolates from the skin, nasal cavity, oral cavity, and urine. Pairwise average nucleotide identity (ANI) revealed instances of identical strains (>99.99% ANI) across multiple body sites within individuals and, in some cases, between individuals. Accessory genome functional profiles showed no clustering by anatomical site, indicating limited niche specialization and a broadly shared accessory gene pool. Intact prophages were shared among isolates, consistent with a fluid, mobile accessory genome. Although multinomial logistic regression using gene-cluster presence/absence identified site-associated gene enrichment, the model achieved low accuracy in predicting isolation source from publicly available genomes. The absence of strong evidence for niche-specific adaptation among isolates from healthy individuals supports the species’ generalist lifestyle and genetic diversity. This study advances our understanding of
S. epidermidis
population structure in healthy hosts, including the urinary tract.
IMPORTANCE
While traditionally considered a benign skin colonizer,
Staphylococcus epidermidis
is also a resident and transient member of the nasal, oral, gastrointestinal, and urinary microbiota. Strain-level diversity and ecological adaptations in healthy humans remain underexplored. This study reveals that the same
S. epidermidis
strains can colonize multiple body sites in the same individual, highlighting a generalist colonization strategy. This is further supported by our development of a machine-learning model, which has a relatively low accuracy in predicting the isolation source for strains that are not associated with infections. This study provides a genomic framework for distinguishing commensal adaptation from pathogenic potential.