Unknown

Dataset Information

0

Predicting the potential for zoonotic transmission and host associations for novel viruses.


ABSTRACT: Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses.

SUBMITTER: Pandit PS 

PROVIDER: S-EPMC9390964 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Predicting the potential for zoonotic transmission and host associations for novel viruses.

Pandit Pranav S PS   Anthony Simon J SJ   Goldstein Tracey T   Olival Kevin J KJ   Doyle Megan M MM   Gardner Nicole R NR   Bird Brian B   Smith Woutrina W   Wolking David D   Gilardi Kirsten K   Monagin Corina C   Kelly Terra T   Uhart Marcela M MM   Epstein Jonathan H JH   Machalaba Catherine C   Rostal Melinda K MK   Dawson Patrick P   Hagan Emily E   Sullivan Ava A   Li Hongying H   Chmura Aleksei A AA   Latinne Alice A   Lange Christian C   O'Rourke Tammie T   Olson Sarah S   Keatts Lucy L   Mendoza A Patricia AP   Perez Alberto A   de Paula Cátia Dejuste CD   Zimmerman Dawn D   Valitutto Marc M   LeBreton Matthew M   McIver David D   Islam Ariful A   Duong Veasna V   Mouiche Moctar M   Shi Zhengli Z   Mulembakani Prime P   Kumakamba Charles C   Ali Mohamed M   Kebede Nigatu N   Tamoufe Ubald U   Bel-Nono Samuel S   Camara Alpha A   Pamungkas Joko J   Coulibaly Kalpy J KJ   Abu-Basha Ehab E   Kamau Joseph J   Silithammavong Soubanh S   Desmond James J   Hughes Tom T   Shiilegdamba Enkhtuvshin E   Aung Ohnmar O   Karmacharya Dibesh D   Nziza Julius J   Ndiaye Daouda D   Gbakima Aiah A   Sajali Zikankuba Z   Wacharapluesadee Supaporn S   Robles Erika Alandia EA   Ssebide Benard B   Suzán Gerardo G   Aguirre Luis F LF   Solorio Monica R MR   Dhole Tapan N TN   Nga Nguyen T T NTT   Hitchens Peta L PL   Joly Damien O DO   Saylors Karen K   Fine Amanda A   Murray Suzan S   Karesh William B WB   Daszak Peter P   Mazet Jonna A K JAK   Johnson Christine K CK  

Communications biology 20220819 1


Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildli  ...[more]

Similar Datasets

| S-EPMC4973921 | biostudies-literature
| S-EPMC9297979 | biostudies-literature
| S-EPMC5485959 | biostudies-literature
| S-EPMC4390999 | biostudies-literature
| S-EPMC11685428 | biostudies-literature
| S-EPMC7914986 | biostudies-literature
| S-EPMC2562341 | biostudies-literature
| S-EPMC11741233 | biostudies-literature
| S-EPMC4595845 | biostudies-literature
| S-EPMC7542779 | biostudies-literature