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Viruses of the Nahant Collection, characterization of 251 marine Vibrionaceae viruses
- Source :
- Scientific Data, Nature
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Viruses are highly discriminating in their interactions with host cells and are thought to play a major role in maintaining diversity of environmental microbes. However, large-scale ecological and genomic studies of co-occurring virus-host pairs, required to characterize the mechanistic and genomic foundations of virus-host interactions, are lacking. Here, we present the largest dataset of cultivated and sequenced co-occurring virus-host pairs that captures ecologically representative fine-scale diversity. Using the ubiquitous and ecologically diverse marine Vibrionaceae as a host platform, we isolate and sequence 251 dsDNA viruses and their hosts from three time points within a 93-day time-series study. The virus collection includes representatives of the three Caudovirales tailed virus morphotypes, a novel family of nontailed viruses, and the smallest (10,046 bp) and largest (348,911 bp) Vibrio virus genomes described. We provide general characterization and annotation of the viruses and describe read-mapping protocols to standardize genome presentation. The rich ecological and genomic contextualization of hosts and viruses make the Nahant Collection a unique platform for high-resolution studies of environmental virus-host infection networks.<br />National Science Foundation (U.S.) (OCE 1435993)
- Subjects :
- 0301 basic medicine
Statistics and Probability
Data Descriptor
viruses
030106 microbiology
Vibrionaceae
Genome, Viral
Library and Information Sciences
Genome
DNA sequencing
Virus
Mobile elements
Education
03 medical and health sciences
Caudovirales
Virology
14. Life underwater
Marine biology
biology
Ecology
Host (biology)
biology.organism_classification
Vibrio
Computer Science Applications
030104 developmental biology
Evolutionary biology
Host-Pathogen Interactions
Viruses
Mobile genetic elements
Statistics, Probability and Uncertainty
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....5ffff648df7b66600961fc4fbb2dabe8
- Full Text :
- https://doi.org/10.1038/sdata.2018.114