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Unveiling viral–host interactions within the ‘microbial dark matter’

Authors: Martinez-Garcia, Manuel; Santos, Fernando; Moreno-Paz, Mercedes; Parro, Víctor; Anton, Josefa;

Unveiling viral–host interactions within the ‘microbial dark matter’

Abstract

Viruses control natural microbial communities. Identification of virus-host pairs relies either on their cultivation or on metagenomics and tentative assignment based on genomic signatures. Both approaches have severe drawbacks when aiming to target such pairs within the uncultured majority. Here we present an unambiguous way to assign viruses to hosts that does not rely on any previous information about either of them nor requires their cultivation. First, genomic contents of individual cells present in an environmental sample are retrieved by means of single-cell genomic technologies. Then, individual cell genomes are hybridized against a set of individual viral genomes from the same sample, previously immobilized on a microarray. Infected cells will yield positive hybridization as they carry viral genomes, which can be then sequenced and characterized. Using this method, we pinpoint viruses infecting the ubiquitous hyperhalophilic Nanohaloarchaeota, included in the so-called 'microbial dark matter' (the uncultured fraction of the microbial world).

Country
Spain
Keywords

Microbiological Phenomena, Microbial dark matter, Interactions, Molecular Sequence Data, Genome, Viral, Genomics, Microbiología, Microarray Analysis, Archaea, Viruses, Host-Pathogen Interactions, Animals, Hosts

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
61
Top 10%
Top 10%
Top 10%
28
29
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gold