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An evolutionary insight into emerging Ebolavirus strains isolated in Africa
- Source :
- Journal of Medical Virology. 92:988-995
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- On July 19, 2019, the World Health Organization declared the current Ebolavirus (EBOV) outbreak in Congo Democratic Republic (COD) a public health emergency of international concern. To address the potential threat of EBOV evolution outpacing antibody treatment and vaccine efforts, a detailed evolutionary analysis of EBOV strains circulating in different African countries was performed. Genome composition of EBOV strains was studied using multivariate statistical analysis. To investigate the patterns of evolution of EBOV strains, a Bayesian Markov Chain Monte Carlo approach was used. Two different genetic lineages, with a distinct genome composition gave rise to the recent EBOV outbreaks in central and western Africa. Strains isolated in COD in 2018 fall into two different genetic clusters, according to their geographical location of isolation. Different amino acid substitutions among strains from these two clusters have been found, particularly in NP, GP, and L proteins. Significant differences in codon and amino acid usage among clusters were found. Strains isolated in COD in 2018 belong to two distinct genetic clusters, with distinct codon and amino acid usage. Geographical diversity plays an important role in shaping the molecular evolution of EBOV populations.
- Subjects :
- Genome, Viral
Biology
medicine.disease_cause
Genome
World health
Disease Outbreaks
Evolution, Molecular
03 medical and health sciences
0302 clinical medicine
Viral Envelope Proteins
Molecular evolution
Virology
medicine
Humans
Africa, Central
030212 general & internal medicine
Codon Usage
Genetics
Ebolavirus
Outbreak
Bayes Theorem
Geographical diversity
Hemorrhagic Fever, Ebola
Nucleocapsid Proteins
RNA-Dependent RNA Polymerase
Markov Chains
Africa, Western
Infectious Diseases
Amino Acid Substitution
Codon usage bias
030211 gastroenterology & hepatology
Multivariate statistical
Monte Carlo Method
Subjects
Details
- ISSN :
- 10969071 and 01466615
- Volume :
- 92
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Virology
- Accession number :
- edsair.doi.dedup.....e04e5c02b245ea630463d0f21eefaf53
- Full Text :
- https://doi.org/10.1002/jmv.25627