Comprehensive discovery of CRISPR-targeted terminally redundant sequences in the human gut metagenome: Viruses, plasmids, and more.
Ryota SugimotoLuca NishimuraPhuong Thanh NguyenJumpei ItoNicholas F ParrishHiroshi MoriKen KurokawaHirofumi NakaokaIturo InouePublished in: PLoS computational biology (2021)
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.
Keyphrases
- genome wide
- genome editing
- crispr cas
- genetic diversity
- dna methylation
- cancer therapy
- endothelial cells
- sars cov
- escherichia coli
- copy number
- randomized controlled trial
- single cell
- nucleic acid
- big data
- small molecule
- gene expression
- artificial intelligence
- induced pluripotent stem cells
- microbial community
- high throughput
- electronic health record
- transcription factor
- amino acid
- antibiotic resistance genes