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Characterization of endogenous pararetroviruses in yam (Dioscorea spp.) genomes revealed four pararetrovirus groups, including a dioscovirus-like lineage: implications for diagnostics and yam germplasm exchange.

Yams (Dioscorea spp.) are an important vegetatively propagated food security crop grown for their starchy tubers. Yams are susceptible to several viruses, and their genomes harbor a diverse array of endogenous pararetroviral sequences (EPRVs), which complicate diagnostics and germplasm exchange because of their similarity to episomal viruses. To better characterize EPRV diversity, we analyzed 86 publicly available whole-genome sequences from five Dioscorea species (D. rotundata, D. alata, D. praehensilis, D. abyssinica, and D. dumetorum). Assembled genomes were screened for endogenous pararetrovirus sequences (EPRVs) using the CAULIFINDER pipeline, targeting conserved RT/RNase H domains of the Caulimoviridae family. Our analyses revealed four major EPRV groups in D. rotundata: Yendovirus, Badnavirus, Yam Endovirus 1, and a Dioscovirus-like lineage. While most insertions were fragmented, we found full-length putative viral genomes corresponding to the Yam Badnavirus and Dioscovirus-like clades. These findings expand knowledge of yam EPRV diversity, contribute to the development of improved diagnostic tools to differentiate endogenous and episomal forms, and promote a science-based, risk-proportionate approach to yam phytosanitation that facilitates global germplasm exchange while maintaining biosecurity.

Dioscorea

Transcriptome mining and comparative genomics reveal 36 putative novel marafivirus species and conserved evolution of the marafibox regulatory element.

BACKGROUND: Marafiviruses are plant-infecting RNA viruses associated with several economically important crops, but their genomic diversity remains incompletely characterized. OBJECTIVE: This study aimed to identify previously unrecognized marafivirus genomes and investigate their genomic features and evolutionary relationships. METHODS: Publicly available plant transcriptome datasets were systematically mined to detect marafivirus-like sequences. Recovered genomes were analyzed using comparative sequence analysis, phylogenetic reconstruction, and genome organization characterization. RESULTS: A total of 62 marafivirus-like genomes were recovered from 33 independent sources representing diverse plant hosts. Polyprotein-based comparative and phylogenetic analyses grouped these genomes into 36 lineages likely representing novel species. All newly identified viruses clustered within the Marafivirus clade. Genome organization analysis revealed conserved polyprotein architecture and widespread presence of the marafibox promoter element. Conservation of additional open reading frames among closely related isolates aided identification of potentially functional genes. CONCLUSION: These findings substantially expand the known diversity of marafiviruses and demonstrate the effectiveness of transcriptome mining for discovering previously unrecognized plant viruses.

Phylogeny