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Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals
by
Sundaram, Mekala
, Schmidt, John Paul
, Drake, John M.
, Stephens, Patrick R.
, Han, Barbara A.
in
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
2022
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Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals
by
Sundaram, Mekala
, Schmidt, John Paul
, Drake, John M.
, Stephens, Patrick R.
, Han, Barbara A.
in
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
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals
by
Sundaram, Mekala
, Schmidt, John Paul
, Drake, John M.
, Stephens, Patrick R.
, Han, Barbara A.
in
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
2022
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Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals
Journal Article
Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals
2022
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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