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Neisseria meningitidis: using genomics to understand diversity, evolution and pathogenesis
Dominique A Caugant1,2, Ola B Brynildsrud3,4
1Division for Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway. dominique.caugant@fhi.no.
Abstract:
Meningococcal disease remains an important cause of morbidity and death worldwide despite the development and increasing implementation of effective vaccines. Elimination of the disease is hampered by the enormous diversity and antigenic variability of the causative agent, Neisseria meningitidis, one of the most variable bacteria in nature. These features are attained mainly through high rates of horizontal gene transfer and alteration of protein expression through phase variation. The recent availability of whole-genome sequencing (WGS) of large-scale collections of N. meningitidis isolates from various origins, databases to facilitate storage and sharing of WGS data and the concomitant development of effective bioinformatics tools have led to a much more thorough understanding of the diversity of the species, its evolution and population structure and how virulent traits may emerge. Implementation of WGS is already contributing to enhanced epidemiological surveillance and is essential to ascertain the impact of vaccination strategies. This Review summarizes the recent advances provided by WGS studies in our understanding of the biology of N. meningitidis and the epidemiology of meningococcal disease.
Insights
Whole-genome sequencing (WGS) advances understanding of Neisseria meningitidis, the bacterium causing meningococcal disease. WGS aids in tracking bacterial diversity and evolution for improved public health strategies.
Area of Science:
- Microbiology
- Genomics
- Epidemiology
Background:
- Meningococcal disease causes significant global morbidity and mortality.
- Neisseria meningitidis exhibits extensive diversity and antigenic variability, hindering disease elimination.
- High rates of horizontal gene transfer and phase variation contribute to bacterial adaptability.
Purpose of the Study:
- To review recent advances in understanding Neisseria meningitidis biology and meningococcal disease epidemiology using whole-genome sequencing (WGS).
- To highlight the impact of WGS on characterizing bacterial diversity, evolution, and virulence.
- To discuss the role of WGS in epidemiological surveillance and vaccine impact assessment.
Main Methods:
- Utilizing whole-genome sequencing (WGS) data from large collections of Neisseria meningitidis isolates.
- Employing bioinformatics tools for data analysis, storage, and sharing.
- Reviewing recent scientific literature on WGS applications in meningococcal research.
Main Results:
- WGS has significantly enhanced understanding of N. meningitidis diversity, evolution, and population structure.
- Identification of mechanisms for virulent trait emergence through genomic analysis.
- Demonstration of WGS utility in improving epidemiological surveillance and assessing vaccine impact.
Conclusions:
- Whole-genome sequencing is a powerful tool for dissecting the complexity of Neisseria meningitidis.
- WGS provides critical insights for developing and evaluating public health interventions against meningococcal disease.
- Continued implementation of WGS is essential for controlling and potentially eliminating meningococcal disease globally.
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