Evidence map›Paper›PMID 34673779›Full record

ArticlePLoS computational biology2021

Comprehensive discovery of CRISPR-targeted terminally redundant sequences in the human gut metagenome: Viruses, plasmids, and more.

Ryota Sugimoto, Luca Nishimura, Phuong Thanh Nguyen, Jumpei Ito, Nicholas F Parrish, Hiroshi Mori, Ken Kurokawa, Hirofumi Nakaoka, Ituro Inoue

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Bacteriophages of the OrderBiomolecules · 2023
    Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Ryota SugimotoHuman Genetics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.ORCID 0000-0003-4281-7871
Luca NishimuraHuman Genetics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.ORCID 0000-0003-2144-7867
Phuong Thanh NguyenHuman Genetics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.ORCID 0000-0002-1451-1317
Jumpei ItoDivision of Systems Virology, Department of Infectious Disease Control, International Research Center for Infectious Diseases, Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.ORCID 0000-0003-0440-8321
Nicholas F ParrishGenome Immunobiology RIKEN Hakubi Research Team, Center for Integrative Medical Sciences, RIKEN, Tsurumi-ku, Yokohama, Kanagawa, Japan.ORCID 0000-0002-6971-8016
Hiroshi MoriGenome Diversity Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.
Ken KurokawaGenome Evolution Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.ORCID 0000-0001-8662-9958
Hirofumi NakaokaDepartment of Cancer Genome Research, Sasaki Institute, Chiyoda-ku, Tokyo, Japan.ORCID 0000-0002-8454-1159
Ituro InoueHuman Genetics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.ORCID 0000-0001-7373-3043
National Institute of Genetics · JPNational Institute of Infectious Diseases · JPRIKEN Center for Integrative Medical Sciences · JPSasaki Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are the most numerous biological entity, existing in all environments and infecting all cellular organisms. Compared with cellular life, the evolution and origin of viruses are poorly understood; viruses are enormously diverse, and most lack sequence similarity to cellular genes. To uncover viral sequences without relying on either reference viral sequences from databases or marker genes that characterize specific viral taxa, we developed an analysis pipeline for virus inference based on clustered regularly interspaced short palindromic repeats (CRISPR). CRISPR is a prokaryotic nucleic acid restriction system that stores the memory of previous exposure. Our protocol can infer CRISPR-targeted sequences, including viruses, plasmids, and previously uncharacterized elements, and predict their hosts using unassembled short-read metagenomic sequencing data. By analyzing human gut metagenomic data, we extracted 11,391 terminally redundant CRISPR-targeted sequences, which are likely complete circular genomes. The sequences included 2,154 tailed-phage genomes, together with 257 complete crAssphage genomes, 11 genomes larger than 200 kilobases, 766 genomes of Microviridae species, 56 genomes of Inoviridae species, and 95 previously uncharacterized circular small genomes that have no reliably predicted protein-coding gene. We predicted the host(s) of approximately 70% of the discovered genomes at the taxonomic level of phylum by linking protospacers to taxonomically assigned CRISPR direct repeats. These results demonstrate that our protocol is efficient for de novo inference of CRISPR-targeted sequences and their host prediction.

Indexed as

ArchaeaClustered Regularly Interspaced Short Palindromic RepeatsGastrointestinal MicrobiomeHumansMetagenomeMetagenomicsPlasmidsSequence Analysis, DNAViruses

Identifiers

PMID34673779
PMCPMC8530359
OpenAlexW3205578922

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.