2011
DOI: 10.1111/j.1574-6941.2011.01090.x
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Using CRISPRs as a metagenomic tool to identify microbial hosts of a diffuse flow hydrothermal vent viral assemblage

Abstract: Metagenomic analyses of viruses have revealed widespread diversity in the viriosphere, but it remains a challenge to identify specific hosts for a viral assemblage. To address this problem, we analyze the viral metagenome of a northeast Pacific hydrothermal vent with a comprehensive database of spacers derived from the clustered regularly interspaced short palindromic repeat (CRISPR) putative immune system. CRISPR spacer matches to the marine vent virome suggest that viruses infecting hosts from diverse taxono… Show more

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Cited by 121 publications
(117 citation statements)
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References 62 publications
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“…3). Consistent with the idea that the CRISPR system is better when the risk of infection is low, thermophiles tend to have more and longer CRISPRs (147,148) and have lower host and parasite population densities (149). Similar effects are expected in the context of other immune mechanisms that have inducible costs.…”
Section: Costs Of Resistance Can Help To Explain Diversity In Immune supporting
confidence: 67%
“…3). Consistent with the idea that the CRISPR system is better when the risk of infection is low, thermophiles tend to have more and longer CRISPRs (147,148) and have lower host and parasite population densities (149). Similar effects are expected in the context of other immune mechanisms that have inducible costs.…”
Section: Costs Of Resistance Can Help To Explain Diversity In Immune supporting
confidence: 67%
“…CRISPR systems potentially provide haloarchaea with a dynamic means to respond and defend against specific haloarchaeoviruses (for example, Andersson and Banfield, 2008;Tyson and Banfield, 2008;Heidelberg et al, 2009;Anderson et al, 2010;Held et al, 2010;Emerson et al, 2013;Maier et al, 2013;Vestergaard et al, 2014). Spacers are incorporated into loci between short direct repeat sequences and, along with the CRISPR-associated (Cas) proteins, are characteristic of the host in which they evolved.…”
Section: Introductionmentioning
confidence: 99%
“…Of three provirus-matching spacers in Aca_3, two spacers showed synonymous and nonsynonymous substitutions compared with their corresponding putative protospacers in proviruses ( Table 4), indicating that A. camini interacted with viruses that were closely related to APSV1 and APOV1. All CRISPR spacers did not show a significant match with any other nucleotide sequences in the nr database or viral metagenomes from Yellowstone hot springs (21) and the Juan de Fuca ridge (22) other than the APSV1 and APOV1 genomes. It is noteworthy that none of the CRISPR spacers matched the nonorthologous genes of Aeropyrum spp., which are extrachromosomal elements in most cases (described below).…”
Section: Resultsmentioning
confidence: 99%
“…The spacer sequences were clustered by using CD-HIT-EST (20), with a local sequence identity threshold of 90%, an alignment coverage threshold for a shorter sequence of 60%, and a word size set at 7. Two available viral metagenomes from Yellowstone hot springs (21) and from the Juan de Fuca ridge (22) were retrieved from the GenBank trace archive and from the CAMERA database (23), respectively. A similarity search of spacer sequences was performed against the NCBI nonredundant (nr) database and the viral metagenomes by using BLASTN (24), with an E value threshold of 10 Ϫ5 and a word size set at 7.…”
Section: Methodsmentioning
confidence: 99%