Comparative genome analysis of Streptococcus strains to identify virulent genes causing neonatal meningitis.


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 2023
Historique:
received: 03 11 2022
revised: 19 12 2022
accepted: 22 12 2022
pubmed: 27 12 2022
medline: 12 1 2023
entrez: 26 12 2022
Statut: ppublish

Résumé

To determine Streptococcus agalactiae genes responsible for causing neonatal meningitis. Streptococcus agalactiae strain 2603 V/R is causative agent of neonatal meningitis, maternal infection and sepsis in young children. World health organisation reported high burden of new born death caused by this bacterium. Streptococcus agalactiae colonizing epithelial cells of vagina and endothelial cells have high resistance to available antibiotic drugs which makes it essential to determine new drug targets. To compare the genome of selected strain with the non-pathogenic strains of streptococcus and identify the virulent and antibiotic resistant genes for adaptation in host environment. The whole genome of human pathogen Streptococcus agalactiae strain 2603 V/R was analysed and compared with Streptococcus dysgalactiae strains using visualization and annotation tools. Genomic islands, mobile genetic elements, virulent and resistant genes were studied. Genetically pathogenic strain is most similar to Streptococcus dysgalactiae subsp. equisimilis strain NCTC 7136. Comparative analysis revealed the importance of capsular polysaccharides and surface proteins responsible for avoiding immune system attachment to host epithelial cells and virulent behaviour. High number of genes coding for antibiotics resistance may provide a competitive advantage for survival of pathogenic Streptococcus agalactiae strain 2603 V/R in its niche. The comparative analysis of pathogenic strain Streptococcus agalactiae with non-pathogenic strains of Streptococcus dysgalactiae provided new insights in pathogenicity that could aid in recognization for new regions and genes for development of new drug development strategies considering presence of high number of resistance genes.

Sections du résumé

AIM
To determine Streptococcus agalactiae genes responsible for causing neonatal meningitis.
BACKGROUND
Streptococcus agalactiae strain 2603 V/R is causative agent of neonatal meningitis, maternal infection and sepsis in young children. World health organisation reported high burden of new born death caused by this bacterium. Streptococcus agalactiae colonizing epithelial cells of vagina and endothelial cells have high resistance to available antibiotic drugs which makes it essential to determine new drug targets.
OBJECTIVES
To compare the genome of selected strain with the non-pathogenic strains of streptococcus and identify the virulent and antibiotic resistant genes for adaptation in host environment.
METHOD
The whole genome of human pathogen Streptococcus agalactiae strain 2603 V/R was analysed and compared with Streptococcus dysgalactiae strains using visualization and annotation tools. Genomic islands, mobile genetic elements, virulent and resistant genes were studied.
RESULTS
Genetically pathogenic strain is most similar to Streptococcus dysgalactiae subsp. equisimilis strain NCTC 7136. Comparative analysis revealed the importance of capsular polysaccharides and surface proteins responsible for avoiding immune system attachment to host epithelial cells and virulent behaviour. High number of genes coding for antibiotics resistance may provide a competitive advantage for survival of pathogenic Streptococcus agalactiae strain 2603 V/R in its niche.
CONCLUSIONS
The comparative analysis of pathogenic strain Streptococcus agalactiae with non-pathogenic strains of Streptococcus dysgalactiae provided new insights in pathogenicity that could aid in recognization for new regions and genes for development of new drug development strategies considering presence of high number of resistance genes.

Identifiants

pubmed: 36572056
pii: S1567-1348(22)00195-2
doi: 10.1016/j.meegid.2022.105398
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105398

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Jasmine Arya (J)

Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, India.

Divya Sharma (D)

Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, India.

Dev Kumar (D)

Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, India.

Ritu Jakhar (R)

Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, India.

Alka Khichi (A)

Centre for Biotechnology, Maharshi Dayanand University, Rohtak, Haryana, India.

Mehak Dangi (M)

Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, India. Electronic address: mehak.bioinfo@mdurohtak.ac.in.

Anil Kumar Chhillar (AK)

Centre for Biotechnology, Maharshi Dayanand University, Rohtak, Haryana, India. Electronic address: dir.research@mdurohtak.ac.in.

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Classifications MeSH