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Related Experiment Videos

Frequency-dependent selection in vaccine-associated pneumococcal population dynamics.

Jukka Corander1,2,3, Christophe Fraser4, Michael U Gutmann5

  • 1Helsinki Institute for Information Technology, Department of Mathematics and Statistics, University of Helsinki, 00014, Helsinki, Finland.

Nature Ecology & Evolution
|October 18, 2017
PubMed
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This summary is machine-generated.

Bacterial populations, like Streptococcus pneumoniae, evolve due to gene variations and negative frequency-dependent selection (NFDS). This study reveals how NFDS shapes pneumococcal evolution and maintains lineage stability, even after vaccination.

Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Genomics

Background:

  • Bacterial species exhibit significant genetic diversity within populations, influencing their evolutionary trajectories.
  • Understanding the ecological and evolutionary drivers of bacterial population structure is crucial, especially for pathogens like Streptococcus pneumoniae.
  • The introduction of vaccines has altered pneumococcal population dynamics, necessitating further investigation into underlying mechanisms.

Purpose of the Study:

  • To investigate the role of intermediate-frequency genes in shaping Streptococcus pneumoniae population structure.
  • To determine if negative frequency-dependent selection (NFDS) influences the evolution of pneumococcal lineages.
  • To model the impact of NFDS on pneumococcal population dynamics post-vaccination.

Main Methods:

Related Experiment Videos

  • Comparative genomic analysis of pneumococcal lineages to identify distinct gene combinations.
  • Functional analysis of intermediate-frequency genes to infer potential selective pressures.
  • Application of a multilocus NFDS model with Approximate Bayesian Computation to genomic datasets.
  • Simulations to replicate observed population dynamics and evolutionary patterns.

Main Results:

  • Pneumococcal lineages possess unique sets of intermediate-frequency genes, potentially under NFDS.
  • These genes maintained similar frequencies across diverse populations and persisted despite significant lineage shifts post-vaccination.
  • The NFDS model provided reproducible estimates of selection strength, varying by gene locus.
  • Simulations successfully replicated lineage stability, serotype switching, and clonal replacement patterns.

Conclusions:

  • Negative frequency-dependent selection is a significant factor in pneumococcal evolution, maintaining population structure and lineage stability.
  • Bacterial ecology, influenced by NFDS, plays a critical role in the effectiveness and impact of clinical interventions like vaccines.
  • The developed modeling framework offers insights into bacterial population dynamics and response to interventions.