Insights into the population structure and pan-genome of Haemophilus influenzae.


Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
01 2019
Historique:
received: 06 07 2018
revised: 20 10 2018
accepted: 30 10 2018
pubmed: 6 11 2018
medline: 28 11 2019
entrez: 5 11 2018
Statut: ppublish

Résumé

The human-restricted bacterium Haemophilus influenzae is responsible for respiratory infections in both children and adults. While colonization begins in the upper airways, it can spread throughout the respiratory tract potentially leading to invasive infections. Although the spread of H. influenzae serotype b (Hib) has been prevented by vaccination, the emergence of infections by other serotypes as well as by non-typeable isolates (NTHi) have been observed, prompting the need for novel prevention strategies. Here, we aimed to study the population structure of H. influenzae and to get some insights into its pan-genome. We studied 305H. influenzae strains, enrolling 217 publicly available genomes, as well as 88 newly sequenced H. influenzae invasive strains isolated in Portugal, spanning a 24-year period. NTHi isolates presented a core-SNP-based genetic diversity about 10-fold higher than the one observed for Hib. The analysis of key factors involved in pathogenesis, such as lipooligosaccharides, hemagglutinating pili and High Molecular Weight-adhesins, suggests that NTHi shape its virulence repertoire, either by acquisition and loss of genes or by SNP-based diversification, likely towards host immune evasion and persistence. Discreet NTHi subpopulations structures are proposed based on core-genome supported with 17 candidate genetic markers identified in the accessory genome. Additionally, this study provides two bioinformatics tools for in silico rapid identification of H. influenzae serotypes and NTHi clades previously proposed, obviating laboratory-based demanding procedures. The present study constitutes an important genomic framework that could lay way for future studies on the genetic determinants underlying invasiveness and disease and population structure of H. influenzae.

Identifiants

pubmed: 30391557
pii: S1567-1348(18)30484-2
doi: 10.1016/j.meegid.2018.10.025
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

126-135

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

M Pinto (M)

Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health, Lisbon, Portugal.

A González-Díaz (A)

Microbiology Department, Hospital Universitari Bellvitge, IDIBELL, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain.

M P Machado (MP)

Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

S Duarte (S)

Technology and Innovation Unit, Department of Human Genetics, National Institute of Health, Lisbon, Portugal.

L Vieira (L)

Technology and Innovation Unit, Department of Human Genetics, National Institute of Health, Lisbon, Portugal; Centre for Toxicogenomics and Human Health (ToxOmics), Genetics, Oncology and Human Toxicology, Nova Medical School, New University of Lisbon, Portugal.

J A Carriço (JA)

Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.

S Marti (S)

Microbiology Department, Hospital Universitari Bellvitge, IDIBELL, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain.

M P Bajanca-Lavado (MP)

Haemophilus influenzae Reference Laboratory, Department of Infectious Diseases, National Institute of Health, Lisbon, Portugal.

J P Gomes (JP)

Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health, Lisbon, Portugal. Electronic address: j.paulo.gomes@insa.min-saude.pt.

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Classifications MeSH