MARATTO

article · BMC Genomic Data

Phylogenetic and motif-based genomic analysis of Mokola virus: implications for regional divergence and data gaps

Abstract

Mokola virus (MOKV), a member of the Lyssavirus genus, is an understudied zoonotic pathogen endemic to Africa, with sporadic detections in humans and animals. Despite its public health relevance and resistance to rabies vaccines and post-exposure prophylaxis, comprehensive genomic data remain limited. This study explores the evolutionary diversity and phyloepidemiology of MOKV using all eleven complete genomes available as of May 2025. Complete genomes and five canonical genes (G, M, N, P, L) were analyzed through Neighbor-Joining phylogenies (1,000 bootstraps), ANI/AAI comparisons, motif discovery, and ORF annotation. Across loci, a well-supported monophyletic cluster of South African isolates was recovered (bootstrap ≥ 94%), whereas isolates from the United Kingdom and France appeared intermixed across multiple weakly to moderately supported lineages, providing no evidence for country or continent-specific monophyly. ANI/AAI heatmaps showed high intra-cluster similarity within the South African lineage and greater divergence among European isolates, with the polymerase (L) and nucleoprotein (N) being more conserved than the phosphoprotein (P) and portions of the glycoprotein (G). De novo motif discovery revealed conserved regulatory signatures within coding regions and genome termini, while ORF analysis confirmed the canonical lyssavirus gene organization across all isolates. These findings highlight the evolutionary stability of African lineages and genetic heterogeneity of European isolates, underscoring the need for expanded genomic surveillance in Africa and the application of phyloepidemiological approaches to monitor emerging lyssaviruses. Not applicable.

Research topics

  • Mosquito-borne diseases and control
  • Virology and Viral Diseases
  • Viral Infections and Immunology Research

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1186/s12863-025-01391-6

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.