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Accounting for population structure reveals ambiguity in the Zaire Ebolavirus reservoir dynamics.
- Source :
-
PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2020 Mar 04; Vol. 14 (3), pp. e0008117. Date of Electronic Publication: 2020 Mar 04 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- Ebolaviruses pose a substantial threat to wildlife populations and to public health in Africa. Evolutionary analyses of virus genome sequences can contribute significantly to elucidate the origin of new outbreaks, which can help guide surveillance efforts. The reconstructed between-outbreak evolutionary history of Zaire ebolavirus so far has been highly consistent. By removing the confounding impact of population growth bursts during local outbreaks on the free mixing assumption that underlies coalescent-based demographic reconstructions, we find-contrary to what previous results indicated-that the circulation dynamics of Ebola virus in its animal reservoir are highly uncertain. Our findings also accentuate the need for a more fine-grained picture of the Ebola virus diversity in its reservoir to reliably infer the reservoir origin of outbreak lineages. In addition, the recent appearance of slower-evolving variants is in line with latency as a survival mechanism and with bats as the natural reservoir host.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Africa
Animal Diseases virology
Animals
Ebolavirus classification
Ebolavirus genetics
Genotype
Hemorrhagic Fever, Ebola epidemiology
Hemorrhagic Fever, Ebola virology
Humans
Phylogeny
Animal Diseases epidemiology
Chiroptera virology
Disease Reservoirs virology
Ebolavirus isolation & purification
Hemorrhagic Fever, Ebola veterinary
Subjects
Details
- Language :
- English
- ISSN :
- 1935-2735
- Volume :
- 14
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- PLoS neglected tropical diseases
- Publication Type :
- Academic Journal
- Accession number :
- 32130210
- Full Text :
- https://doi.org/10.1371/journal.pntd.0008117