2014
DOI: 10.1038/ncomms5498
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A highly abundant bacteriophage discovered in the unknown sequences of human faecal metagenomes

Abstract: Metagenomics, or sequencing of the genetic material from a complete microbial community, is a promising tool to discover novel microbes and viruses. Viral metagenomes typically contain many unknown sequences. Here we describe the discovery of a previously unidentified bacteriophage present in the majority of published human fecal metagenomes, which we refer to as crAssphage. Its ~97 kbp genome is six times more abundant in publicly available metagenomes than all other known phages together; comprises up to 90%… Show more

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Cited by 688 publications
(861 citation statements)
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References 69 publications
(173 reference statements)
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“…Similar protein domains are encoded by ∼25% of the known members of the predominant order of phages (Caudovirales) (47). Given the enormous diversity of phages associated with mucosal surfaces, we expect many will be found to use Ig-like proteins or other carbohydrate-adherent surface proteins to increase their replicative success via subdiffusive motion (48)(49)(50). Furthermore, we speculate that their mucin-binding is finely tuned to position the phage particles in the optimal mucus zone where their bacterial hosts reside, further increasing encounter rates.…”
Section: Discussionmentioning
confidence: 99%
“…Similar protein domains are encoded by ∼25% of the known members of the predominant order of phages (Caudovirales) (47). Given the enormous diversity of phages associated with mucosal surfaces, we expect many will be found to use Ig-like proteins or other carbohydrate-adherent surface proteins to increase their replicative success via subdiffusive motion (48)(49)(50). Furthermore, we speculate that their mucin-binding is finely tuned to position the phage particles in the optimal mucus zone where their bacterial hosts reside, further increasing encounter rates.…”
Section: Discussionmentioning
confidence: 99%
“…The first step consisted in the generation of a set of contigs using as many reads as possible from 104 oceanic viromes, including 74 epipelagic and 16 mesopelagic samples from the Tara Oceans expedition 6 , and 1 mesopelagic and 13 bathypelagic from the Malaspina expedition 7 . This set of contigs was generated through an iterative cross-assembly 15 (using MOCAT 54 The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/053090 doi: bioRxiv preprint first posted online May.…”
Section: Contigs Assemblymentioning
confidence: 99%
“…Beyond better sample coverage, analytical approaches including cross-assembly 15 and genome binning 16 make the GOV dataset a much improved genomic representation of the sampled viruses. From 1,380,834 contigs generated, which recruited 67% of the reads, we identified 15,280 viral populations (Fig.…”
mentioning
confidence: 99%
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“…1D). The lower coverage of novel contigs may have kept them hidden from previous analyses, and only by pooling many samples together were these sequences found (22). Biases in read coverage across the bacterial contigs may also be used to estimate their growth dynamics (23).…”
Section: Significancementioning
confidence: 99%