Microbial GenomicsGenomicsPeer-reviewed journal article
Nasopharyngeal competition dynamics are likely to be altered following vaccine introduction: bacteriocin prevalence and diversity among Icelandic and Kenyan pneumococci
Madeleine EB Butler, Melissa J. Jansen van RensburgiD, Angela KaraniiD, Benedict Mvera, Donald O. AkechiD, Asma AkteriD, Calum Forrest, Andries J. van TonderiD, Sigríður Júlía QuirkiD, Gunnsteinn HaraldssoniD, Stephen D. BentleyiD, Helga Erlendsdóttir, Ásgeir HaraldssoniD, Karl Gustaf KristinssoniD, J. Anthony G. ScottiD, Angela B. BrueggemanniD
Abstract
Bacteriocins are antimicrobial peptides produced by bacteria to inhibit other bacteria in the surrounding environment. Streptococcus pneumoniae is a leading cause of disease worldwide and colonises the healthy human nasopharynx, where it competes for space and nutrients. Pneumococcal conjugate vaccines have reduced the incidence of disease, but they also restructure the bacterial population, and this restructuring likely alters the nasopharyngeal competition dynamics. Here, the distribution of bacteriocins was examined in over 5000 carriage and disease-causing pneumococci from Iceland and Kenya, recovered before and after the introduction of pneumococcal vaccination. Overall, up to eleven different bacteriocin gene clusters were identified per pneumococcus. Significant differences in the prevalence of bacteriocins were observed before and after vaccine introduction, and among carriage and disease-causing pneumococci, which were largely explained by the bacterial population structure. Genetically similar pneumococci generally harboured the same bacteriocins although sometimes different repertoires of bacteriocins were observed, which suggested that horizontal transfer of bacteriocin clusters had occurred. These findings demonstrated that vaccine-mediated changes in the pneumococcal population altered the prevalence and distribution of bacteriocins. The consequences of this for pneumococcal colonisation and disease remain to be determined.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 2
- FWCI
- 0.40
- Field percentile
- top 39%
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