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Updated: Dec 21, 2025
09:13
Using Reverse Genetics to Manipulate the NSs Gene of the Rift Valley Fever Virus MP-12 Strain to Improve Vaccine Safety and Efficacy
Published on: November 1, 2011
17.8K
Comparative analysis of codon usage patterns in Rift Valley fever virus
Hayeon Kim1, Myeongji Cho2, Hyeon S Son2,3
1Department of Biomedical Laboratory Science, Kyungdong University, Wonju, Gangwondo, Korea.
Genetics and Molecular Biology
|May 19, 2020
Summary
Rift Valley fever virus (RVFV) genomic analysis reveals the S (NP) segment
Area of Science:
- Virology
- Genomics
- Epidemiology
Background:
- Rift Valley fever virus (RVFV) is a significant vector-borne pathogen in the genus Phlebovirus.
- RVFV has expanded its geographic range beyond traditional endemic areas, with ongoing infections in new regions.
- Understanding RVFV genomic diversity is crucial for tracking its spread and predicting future outbreaks.
Purpose of the Study:
- To analyze genomic patterns of Rift Valley fever virus (RVFV) in relation to its infection properties.
- To investigate codon usage and nucleotide composition across RVFV genomic segments.
- To explore the correlation between genomic features and geographic expansion of RVFV.
Main Methods:
- Comparative genomic analysis of RVFV isolates.
- Analysis of nucleotide composition, GC content, and %GC3 across viral segments.
- Codon Adaptation Index (CAI) analysis of the S (NP) segment.
Main Results:
- The S (NP) segment exhibited the largest variations in nucleotide composition, GC content, and %GC3 among RVFV segments.
- Viruses from newly infected regions showed higher CAI values in the S (NP) segment, suggesting enhanced adaptability.
- Distinct codon usage patterns were identified in genomic regions associated with specific infection properties.
Conclusions:
- Mutations in the RVFV S (NP) segment appear to co-evolve with hosts, potentially driving geographic range expansion.
- Unique codon usage patterns in specific genomic regions may correlate with increased RVFV infection likelihood in new areas.
- Genomic analysis provides insights into RVFV adaptability and its expanding epidemiology.
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