Accounting for population structure reveals ambiguity in the Zaire Ebolavirus reservoir dynamics.
Journal
PLoS neglected tropical diseases
ISSN: 1935-2735
Titre abrégé: PLoS Negl Trop Dis
Pays: United States
ID NLM: 101291488
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
10
04
2019
accepted:
05
02
2020
revised:
16
03
2020
pubmed:
5
3
2020
medline:
14
5
2020
entrez:
5
3
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32130210
doi: 10.1371/journal.pntd.0008117
pii: PNTD-D-19-00601
pmc: PMC7075637
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0008117Subventions
Organisme : Wellcome Trust
ID : 206298/B/17/Z
Pays : United Kingdom
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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