Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals

We explore how animal host traits, phylogenetic identity and cell receptor sequences relate to infection status and mortality from ebolaviruses. We gathered exhaustive databases of mortality from Ebolavirus after exposure and infection status based on PCR and antibody tests. We performed ridge regre...

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Vydáno v:PLoS neglected tropical diseases Ročník 16; číslo 12; s. e0010993
Hlavní autoři: Sundaram, Mekala, Schmidt, John Paul, Han, Barbara A., Drake, John M., Stephens, Patrick R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 21.12.2022
Public Library of Science (PLoS)
Témata:
Animals
Biology and life sciences
Carrier Proteins
Chiroptera
Complications and side effects
Computer and Information Sciences
Diagnosis
Ebola virus
Ebolavirus - physiology
Health aspects
Hemorrhagic Fever, Ebola
Mammals
Medicine and Health Sciences
Phylogeny
Physical Sciences
Receptors, Cell Surface
Sub-Saharan Africa
ISSN:1935-2735, 1935-2727, 1935-2735
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Shrnutí:We explore how animal host traits, phylogenetic identity and cell receptor sequences relate to infection status and mortality from ebolaviruses. We gathered exhaustive databases of mortality from Ebolavirus after exposure and infection status based on PCR and antibody tests. We performed ridge regressions predicting mortality and infection as a function of traits, phylogenetic eigenvectors and separately host receptor sequences. We found that mortality from Ebolavirus had a strong association to life history characteristics and phylogeny. In contrast, infection status related not just to life history and phylogeny, but also to fruit consumption which suggests that geographic overlap of frugivorous mammals can lead to spread of virus in the wild. Niemann Pick C1 (NPC1) receptor sequences predicted infection statuses of bats included in our study with very high accuracy, suggesting that characterizing NPC1 in additional species is a promising avenue for future work. We combine the predictions from our mortality and infection status models to differentiate between species that are infected and also die from Ebolavirus versus species that are infected but tolerate the virus (possible reservoirs of Ebolavirus ). We therefore present the first comprehensive estimates of Ebolavirus reservoir statuses for all known terrestrial mammals in Africa.
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The authors have declared that no competing interests exist.
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0010993