Updated Insights into the Phylogenetics, Phylodynamics, and Genetic Diversity of Nipah Virus (NiV)
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Updated: Jul 2, 2025

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Published on: August 18, 2023
Gabriel Montenegro de Campos1, Eleonora Cella2, Simone Kashima1
1Blood Center of Ribeirão Preto, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, Brazil.
Abstract:
Nipah virus (NiV), a biosafety level 4 agent, was first identified in human clinical cases during an outbreak in 1998 in Malaysia and Singapore. While flying foxes are the primary host and viral vector, the infection is associated with a severe clinical presentation in humans, resulting in a high mortality rate. Therefore, NiV is considered a virus with an elevated epidemic potential which is further underscored by its recent emergence (September 2023) as an outbreak in India. Given the situation, it is paramount to understand the molecular dynamics of the virus to shed more light on its evolution and prevent potential future outbreaks. In this study, we conducted Bayesian phylogenetic analysis on all available NiV complete genomes, including partial N-gene NiV sequences (≥1000 bp) in public databases since the first human case, registered in 1998. We observed the distribution of genomes into three main clades corresponding to the genotypes Malaysia, Bangladesh and India, with the Malaysian clade being the oldest in evolutionary terms. The Bayesian skyline plot showed a recent increase in the viral population size since 2019. Protein analysis showed the presence of specific protein families (Hendra_C) in bats that might keep the infection in an asymptomatic state in bats, which also serve as viral vectors. Our results further indicate a shortage of complete NiV genomes, which would be instrumental in gaining a better understanding of NiV's molecular evolution and preventing future outbreaks. Our investigation also underscores the critical need to strengthen genomic surveillance based on complete NiV genomes that will aid thorough genetic characterization of the circulating NiV strains and the phylogenetic relationships between the henipaviruses. This approach will better prepare us to tackle the challenges posed by the NiV virus and other emerging viruses.
Insights
Nipah virus (NiV) evolution reveals three main clades and a recent population increase. Understanding NiV molecular dynamics and genomic surveillance is crucial for preventing future outbreaks.
Area of Science:
- * Virology
- * Molecular Evolution
- * Epidemiology
Background:
- * Nipah virus (NiV) is a high-mortality biosafety level 4 agent first identified in 1998.
- * Flying foxes are primary hosts, but NiV poses a significant epidemic threat, as evidenced by recent outbreaks.
- * Understanding NiV's molecular dynamics is critical for preventing future outbreaks.
Purpose of the Study:
- * To conduct a Bayesian phylogenetic analysis of available NiV complete genomes and partial N-gene sequences.
- * To investigate the evolutionary history and population dynamics of NiV.
- * To identify factors contributing to NiV's asymptomatic state in bats and highlight the need for complete genome data.
Main Methods:
- * Bayesian phylogenetic analysis.
- * Analysis of complete NiV genomes and partial N-gene sequences (≥1000 bp) from public databases.
- * Bayesian skyline plot for viral population size estimation.
- * Protein family analysis.
Main Results:
- * NiV genomes clustered into three main clades: Malaysia, Bangladesh, and India, with the Malaysian clade being the oldest.
- * A significant increase in NiV viral population size was observed since 2019.
- * Specific protein families (Hendra_C) in bats may contribute to asymptomatic infection.
Conclusions:
- * The study highlights a shortage of complete NiV genomes, hindering a full understanding of its molecular evolution.
- * Strengthening genomic surveillance using complete NiV genomes is essential for genetic characterization and phylogenetic analysis.
- * Enhanced genomic surveillance will improve preparedness for NiV and other emerging viral threats.
Related Concept Videos
Viral Mutations
Single Nucleotide Polymorphisms-SNPs
Evolutionary Relationships through Genome Comparisons
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