Genetic characterisation of Malawian pneumococci prior to the roll-out of the PCV13 vaccine using a high-throughput whole genome sequencing approach

  • Dean B. Everett
  • , Jennifer Cornick
  • , Brigitte Denis
  • , Claire Chewapreecha
  • , Nicholas Croucher
  • , Simon Harris
  • , Julian Parkhill
  • , Stephen Gordon
  • , Enitan D. Carrol
  • , Neil French
  • , Robert S. Heyderman
  • , Stephen D. Bentley

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Background: Malawi commenced the introduction of the 13-valent pneumococcal conjugate vaccine (PCV13) into the routine infant immunisation schedule in November 2011. Here we have tested the utility of high throughput whole genome sequencing to provide a high-resolution view of pre-vaccine pneumococcal epidemiology and population evolutionary trends to predict potential future change in population structure post introduction.

Methods: One hundred and twenty seven (127) archived pneumococcal isolates from randomly selected adults and children presenting to the Queen Elizabeth Central Hospital, Blantyre, Malawi underwent whole genome sequencing.

Results: The pneumococcal population was dominated by serotype 1 (20.5% of invasive isolates) prior to vaccine introduction. PCV13 is likely to protect against 62.9% of all circulating invasive pneumococci (78.3% in under-5-year-olds). Several Pneumococcal Molecular Epidemiology Network (PMEN) clones are now in circulation in Malawi which were previously undetected but the pandemic multidrug resistant PMEN1 lineage was not identified. Genome analysis identified a number of novel sequence types and serotype switching.

Conclusions: High throughput genome sequencing is now feasible and has the capacity to simultaneously elucidate serotype, sequence type and as well as detailed genetic information. It enables population level characterization, providing a detailed picture of population structure and genome evolution relevant to disease control. Post-vaccine introduction surveillance supported by genome sequencing is essential to providing a comprehensive picture of the impact of PCV13 on pneumococcal population structure and informing future public health interventions.

Original languageBritish English
Article numbere44250
JournalPLoS ONE
Volume7
Issue number9
DOIs
StatePublished - 10 Sep 2012

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