Frequency-dependent selection in vaccine-associated pneumococcal population dynamics

Abstract

Many bacterial species are composed of multiple lineages distinguished by extensive variation in gene content. These often co-circulate in the same habitat, but the evolutionary and ecological processes that shape these complex populations are poorly understood. Addressing these questions is particularly important for Streptococcus pneumoniae, a nasopharyngeal commensal and respiratory pathogen, as the changes in population structure associated with the recent introduction of partial-coverage vaccines have significantly reduced pneumococcal disease. Here we show pneumococcal lineages from multiple populations each have a distinct combination of intermediate frequency genes. Functional analysis suggested these loci were likely subject to negative frequency-dependent selection (NFDS) through interactions with other bacteria, hosts, or mobile elements. Correspondingly, these genes had similar frequencies in four populations with dissimilar lineage compositions. These frequencies were maintained following substantial alterations in lineage prevalences once vaccination programmes began. Fitting a multilocus NFDS model of post-vaccine population dynamics to three genomic datasets using Approximate Bayesian Computation generated reproducible estimates of the influence of NFDS on pneumococcal evolution, the strength of which varied between loci. Simulations replicated the stable frequency of lineages unperturbed by vaccination, patterns of serotype switching, and clonal replacement. This framework highlights how bacterial ecology affects the impact of clinical interventions.