Accounting for population structure reveals ambiguity in the zaire ebolavirus reservoir dynamics

Bram Vranckenid, Tony Wawina-Bokalanga, Bert Vanmechelen, Joan Martí-Carreras, Miles Carroll, Justus Nsio, Jimmy Kapetshi, Sheila Makiala-Mandanda, Jean Jacques Muyembe-Tamfum, Guy Baeleid, Kurt Vermeire, Valentijn Vergote, Steve Ahuka-Mundeke, Piet Maesid

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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 vari-ants is in line with latency as a survival mechanism and with bats as the natural reservoir host.

Original languageEnglish
Article numbere0008117
JournalPLoS Neglected Tropical Diseases
Volume14
Issue number3
DOIs
Publication statusPublished - Mar 2020

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