How bacteria get spacers from invaders

Role of free DNA ends and protospacer adjacent motifs for CRISPR DNA uptake in Pyrococcus furiosus

To acquire CRISPR–Cas immunity against invasive mobile genetic elements, prokaryotes must first integrate fragments of foreign DNA into their genomic CRISPR arrays for use in future invader silencing. Here, we found that the hyperthermophilic archaeaon, Pyrococcus furiosus, actively incorporates DNA fragments (spacers) from both plasmid (foreign) and host genome (self) sequences into its seven CRISPR loci. The majority of new spacers were derived from DNA immediately downstream from a 5′-CCN-3′ protospacer adjacent motif (PAM) that is critical for invader targeting. Interestingly, spacers were preferentially acquired from genome or plasmid regions corresponding to active transposons, CRISPR loci, ribosomal RNA genes, rolling circle origins of replication, and areas where plasmids recombined with the host chromosome. A common feature of the highly sampled spacers is that they arise from DNA regions expected to undergo DNA nicking and/or double-strand breaks. Taken together with recent results from bacterial systems, our findings indicate that free DNA termini and PAMs are conserved features important for CRISPR spacer uptake in diverse prokaryotes and CRISPR–Cas systems. Moreover, lethal self-targeting by CRISPR systems may contribute to host genome stability by eliminating cells undergoing active transposon mobility or chromosomal uptake of autonomously replicating foreign mobile genetic elements.

CRISPR1 analysis of naturalized surface water and fecal Escherichia coli suggests common origin

Clustered regularly interspaced short palindromic repeats (CRISPRs) are part of an acquired bacterial immune system that functions as a barrier to exogenous genetic elements. Since naturalized Escherichia coli are likely to encounter different genetic elements in aquatic environments compared to enteric strains, we hypothesized that such differences would be reflected within the hypervariable CRISPR alleles of these two populations. Comparison of CRISPR1 alleles from naturalized and fecal phylogroup B1 E. coli strains revealed that the alleles could be categorized into four major distinct groups (designated G6–G9), and all four allele groups were found among naturalized strains and fecal strains. The distribution of CRIPSR G6 and G8 alleles was similar among strains of both ecotypes, while naturalized strains tended to have CRISPR G7 alleles rather than G9 alleles. Since CRISPR G7 alleles were not specific to naturalized strains, they, however, would not be useful as a marker for identifying naturalized strains. Notably, CRISPR alleles from naturalized and fecal strains also had similar spacer repertoires. This indicates a shared history of encounter with mobile genetic elements and suggests that the two populations were derived from common ancestors.

Computational prediction of CRISPR cassettes in gut metagenome samples from Chinese type-2 diabetic patients and healthy controls

Background

CRISPR has been becoming a hot topic as a powerful technique for genome editing for human and other higher organisms. The original CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeats coupled with CRISPR-associated proteins) is an important adaptive defence system for prokaryotes that provides resistance against invading elements such as viruses and plasmids. A CRISPR cassette contains short nucleotide sequences called spacers. These unique regions retain a history of the interactions between prokaryotes and their invaders in individual strains and ecosystems. One important ecosystem in the human body is the human gut, a rich habitat populated by a great diversity of microorganisms. Gut microbiomes are important for human physiology and health. Metagenome sequencing has been widely applied for studying the gut microbiomes. Most efforts in metagenome study has been focused on profiling taxa compositions and gene catalogues and identifying their associations with human health. Less attention has been paid to the analysis of the ecosystems of microbiomes themselves especially their CRISPR composition.

Results

We conducted a preliminary analysis of CRISPR sequences in a human gut metagenomic data set of Chinese individuals of type-2 diabetes patients and healthy controls. Applying an available CRISPR-identification algorithm, PILER-CR, we identified 3169 CRISPR cassettes in the data, from which we constructed a set of 1302 unique repeat sequences and 36,709 spacers. A more extensive analysis was made for the CRISPR repeats: these repeats were submitted to a more comprehensive clustering and classification using the web server tool CRISPRmap. All repeats were compared with known CRISPRs in the database CRISPRdb. A total of 784 repeats had matches in the database, and the remaining 518 repeats from our set are potentially novel ones.

Conclusions

The computational analysis of CRISPR composition based contigs of metagenome sequencing data is feasible. It provides an efficient approach for finding potential novel CRISPR arrays and for analysing the ecosystem and history of human microbiomes.

Electronic supplementary material

The online version of this article (doi:10.1186/s12918-015-0248-x) contains supplementary material, which is available to authorized users.