The global challenge of water resource availability is exacerbated by anthropogenic influences that promote the emergence of pollutants. Among these pollutants are microbiological agents, including viruses, which are ubiquitous in the biosphere and play a pivotal role in both ecological balance and the occurrence of diseases in animals and plants. Consequently, monitoring viruses in water sources becomes indispensable for the establishment of effective prevention, promotion, and control strategies. Within this context, the study focuses on the identification of novel viruses belonging to the Picornavirales order in freshwater from the Guarapiranga Reservoir in the state of São Paulo, Brazil. The samples were subjected to viral metagenomics. Our analysis led to the characterization of four distinct sequences (GinkV-05, AquaV_10, MarV_14, and MarV_64), which exhibited significant divergence compared to other members of the Picornavirales order. This remarkable diversity prompted the identification of a potential new genus within the Marnaviridae family, tentatively named Ginkgonavirus. Additionally, we characterized four sequences in a very distinct clade and propose the recognition of a novel family (named Aquaviridae) within the Picornavirales order. Our findings contribute valuable insights into the previously uncharted diversity of Picornavirales present in water sources, shedding light on an important facet of viral ecology and evolution in aquatic environments.
In April 2023, an outbreak of acute hepatitis was reported amongst internally displaced persons in the Nazareth community of South Sudan. IgM serology-based screening suggested the likely etiologic agent to be Hepatitis E virus (HEV). In this study, plasma specimens collected from anti-HEV IgM-positive cases were subjected to additional RT-qPCR testing and sequencing of extracted nucleic acids, resulting in the recovery of five full and eight partial HEV genomes. Maximum likelihood phylogenetic reconstruction confirmed the genomes belong to HEV genotype 1. Using distance-based methods, we show that genotype 1 is best split into three sub-genotypes instead of the previously proposed seven, and that these sub-genotypes are geographically restricted. The South Sudanese sequences confidently cluster within sub-genotype 1e, endemic to northeast, central, and east Africa. Bayesian Inference of phylogeny incorporating sampling dates shows that this new outbreak is not directly descended from other recent local outbreaks for which sequence data is available. However, the analysis suggests that sub-genotype 1e has been consistently and cryptically circulating locally for at least the past half century and that the known outbreaks are often not directly descended from one another. The ongoing presence of HEV, combined with poor sanitation and hygiene in the conflict-affected areas in the region, place vulnerable populations at risk for infection and its more serious effects, including progression to fulminant hepatitis.