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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-12-01
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| Series: | PLoS Neglected Tropical Diseases |
| Online Access: | https://doi.org/10.1371/journal.pntd.0010993 |
| _version_ | 1827964625872748544 |
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| author | Mekala Sundaram John Paul Schmidt Barbara A Han John M Drake Patrick R Stephens |
| author_facet | Mekala Sundaram John Paul Schmidt Barbara A Han John M Drake Patrick R Stephens |
| author_sort | Mekala Sundaram |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T17:19:29Z |
| format | Article |
| id | doaj.art-799dac59f268489e8edb087e26c6ad81 |
| institution | Directory Open Access Journal |
| issn | 1935-2727 1935-2735 |
| language | English |
| last_indexed | 2024-04-09T17:19:29Z |
| publishDate | 2022-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Neglected Tropical Diseases |
| spelling | doaj.art-799dac59f268489e8edb087e26c6ad812023-04-19T05:32:21ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352022-12-011612e001099310.1371/journal.pntd.0010993Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals.Mekala SundaramJohn Paul SchmidtBarbara A HanJohn M DrakePatrick R StephensWe 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.https://doi.org/10.1371/journal.pntd.0010993 |
| spellingShingle | Mekala Sundaram John Paul Schmidt Barbara A Han John M Drake Patrick R Stephens Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals. PLoS Neglected Tropical Diseases |
| title | Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals. |
| title_full | Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals. |
| title_fullStr | Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals. |
| title_full_unstemmed | Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals. |
| title_short | Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals. |
| title_sort | traits phylogeny and host cell receptors predict ebolavirus host status among african mammals |
| url | https://doi.org/10.1371/journal.pntd.0010993 |
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