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Genetic and functional diversity of double-stranded DNA viruses in a tropical monsoonal estuary, India

The present study illustrates the genetic diversity of four uncultured viral communities from the surface waters of Cochin Estuary (CE), India. Viral diversity inferred using Illumina HiSeq paired-end sequencing using a linker-amplified shotgun library (LASL) revealed different double-stranded DNA (...

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Detalles Bibliográficos
Autores principales: Jasna, Vijayan, Parvathi, Ammini, Dash, Abhinandita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207776/
https://www.ncbi.nlm.nih.gov/pubmed/30375431
http://dx.doi.org/10.1038/s41598-018-34332-8
Descripción
Sumario:The present study illustrates the genetic diversity of four uncultured viral communities from the surface waters of Cochin Estuary (CE), India. Viral diversity inferred using Illumina HiSeq paired-end sequencing using a linker-amplified shotgun library (LASL) revealed different double-stranded DNA (dsDNA) viral communities. The water samples were collected from four stations PR1, PR2, PR3, and PR4, during the pre-monsoon (PRM) season. Analysis of virus families indicated that the Myoviridae was the most common viral community in the CE followed by Siphoviridae and Podoviridae. There were significant (p < 0.05) spatial variations in the relative abundance of dominant families in response to the salinity regimes. The relative abundance of Myoviridae and Podoviridae were high in the euryhaline region and Siphoviridae in the mesohaline region of the estuary. The predominant phage type in CE was phages that infected Synechococcus. The viral proteins were found to be involved in major functional activities such as ATP binding, DNA binding, and DNA replication. The study highlights the genetic diversity of dsDNA viral communities and their functional protein predictions from a highly productive estuarine system. Further, the metavirome data generated in this study will enhance the repertoire of publicly available dataset and advance our understanding of estuarine viral ecology.