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Ifeanyi-omah/Project-metagenomics

Domain:

healthcare

Record type:

dataset
Creator:
Ife
Host:
Metagenomics of animal reveals cryptic zoonotic viruses in Nigeria Zoonotic spillover events pose an ongoing threat to global health, with historic and recent viral diseases of international concern emerging from animal reservoirs 1–6. In Nigeria, limited surveillance of animal hosts at the human and animal interface continues to hinder our understanding of viruses that are cryptically circulating in animals near human dwellings with potential for consequential spillover events. We performed unbiased metagenomic next‑generation sequencing (mNGS) on tissue and swab samples collected from 240 individual animals across 11 taxa (rodents, shrews, bats, goats, sheep, pigs, dogs, cats, chickens, cattle egrets, and lizards) in two Lassa‑affected Nigerian states (Ondo and Ebonyi). Host‑depleted sequencing reads were assembled into contigs, taxonomically classified, and subjected to phylogenetic analyses to characterize viral diversity, host associations, and evidence of cross‑species transmission. Across all samples, we identified 214 distinct viral taxa spanning 33 families, of which 41% (n = 83) represent novel species by ICTV criteria. Positive‑sense RNA viruses dominated (Coronaviridae, Picornaviridae, Astroviridae), followed by negative‑sense RNA, single‑ and double‑stranded DNA, and double‑stranded RNA viruses. Notably, human‑associated enteroviruses—including Hepatitis A virus (genotype 1b), echoviruses, coxsackieviruses, and noroviruses—were detected in goats, pigs, dogs, and chickens, indicating cryptic circulation of human pathogens in peridomestic and domesticated animals. Phylogenetic reconstructions revealed multiple cross‑species viral sharing events, particularly among rodents, goats, sheep, and pigs, and extensive recombination within Nigerian Betacoronavirus 1 lineages. Interestingly we found a putative novel avian like coronavirus in rodents, goats and sheep. Ecological modelling demonstrated that host species identity, sample type, and sampling effort were primary drivers of viral richness and abundance, and that higher o …