AI Article Synopsis

  • The study focuses on a gram-negative bacterium linked to serious infections, specifically invasive meningococcal disease, prevalent in Lithuania from 2009 to 2021, and aims to enhance national molecular surveillance.
  • Researchers analyzed 321 bacterial isolates using multilocus restriction typing (MLRT) and found 83 different strains, including three novel strains, with ST34 being the most common.
  • The study also revealed unique virulence factors in the strains and noted no significant geographic relationships between the strains when assessed using a cgMLST scheme.

Article Abstract

Introduction: is a gram-negative bacterium responsible for life-threatening invasive infections known as invasive meningococcal disease and is associated with high fatality rates and serious lifelong disabilities among survivors.

Methods: This study aimed to characterize isolates cultured from blood and cerebrospinal fluid collected between 2009 and 2021 in Lithuania, assess their genomic relationships with European strains, and evaluate the possibility of using a cost-effective method for strain characterization, thus improving the national molecular surveillance of invasive meningococcal disease. In total, 321 isolates were collected and analyzed using multilocus restriction typing (MLRT). Amplification of the gene and restriction fragment length polymorphism analysis were performed to identify the modified genes. Based on the MLRT genotyping results, we selected 10 strains for additional analysis using whole-genome sequencing. The sequenced genomes were incorporated into a dataset of publicly available genomes to evaluate genomic diversity and establish phylogenetic relationships within the Lithuanian and European circulating strains.

Results: We identified 83 different strains using MLRT genotyping. Genomic diversity of genomes analysed revealed 21 different sequence types (STs) circulating in Lithuania. Among these, ST34 was the most prevalent. Notably, three isolates displayed unique combinations of seven housekeeping genes and were identified as novel STs: ST16969, ST16901, and ST16959. The analyzed strains were found to possess virulence factors not commonly found in . Six distinct profiles were identified, each with different frequencies. In the present study, we also identified strains with new , NEIS0123, NEIS1320, NEIS1525, NEIS1600, and NEIS1753 loci variants. In our study, using the cgMLST scheme, Minimum Spanning Tree (MST) analysis did not identify significant geographic relationships between Lithuanian isolates and strains from Europe.

Discussion: Discussion: To our knowledge, this is the first study to employ whole genome sequencing (WGS) method for a comprehensive genetic characterization of invasive isolates from Lithuania. This approach provides a more detailed and precise analysis of genomic relationships and diversity compared to prior studies relying on traditional molecular typing methods and antigen analysis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513629PMC
http://dx.doi.org/10.3389/fcimb.2024.1432197DOI Listing

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