Type IV CRISPR systems encode CRISPR associated (Cas)-like proteins that combine with small RNAs to form multi-subunit ribonucleoprotein complexes. However, the lack of Cas nucleases, integrases, and other genetic features commonly observed in most CRISPR systems has made it difficult to predict type IV mechanisms of action and biological function. Here we summarize recent bioinformatic and experimental advancements that collectively provide the first glimpses into the function of specific type IV subtypes. We also provide a bioinformatic and structural analysis of type IV-specific proteins within the context of multi-subunit (class 1) CRISPR systems, informing future studies aimed at elucidating the function of these cryptic systems.

Bacteria use a diverse arsenal of anti-phage immune systems, including CRISPR-Cas and restriction enzymes. Identifying the full defense repertoire of a given species is still challenging, however. Here, we developed a computational tool to broadly identify anti-phage systems, which was applied to >180,000 genomes available on NCBI, revealingPseudomonas aeruginosato possess the most diverse anti-phage arsenal of any species with >200 sequenced genomes. Using network analysis to identify the common neighbors of anti-phage systems, we surprisingly identified two highly conserved core defense hotspot loci (cDHS1 and cDHS2). Across more than 1,000 P. aeruginosa strains, cDHS1 is up to 224 kb (mean: 34 kb) with varied arrangements of at least 31 immune systems while cDHS2 has 24 distinct systems (mean: 15.4 kb). cDHS1/2 are present in mostP. aeruginosaisolates, in contrast to highly variable mobile DHSs. Most cDHS genes are of unknown function potentially representing new anti-phage systems, which we validated by identifying a novel anti-phage system (Shango) commonly encoded in cDHS1. Identification of core gene markers that flank immune islands could be a simple approach for immune system discovery and may represent popular landing spots for diverse MGEs carrying anti-phage systems.

Bacteria use a diverse arsenal of anti-phage immune systems, including CRISPR-Cas and restriction enzymes. Recent advances in anti-phage system discovery and annotation tools have unearthed many unique systems, often encoded in horizontally transferred defense islands, which can be horizontally transferred. Here, we developed Hidden Markov Models (HMMs) for defense systems and queried microbial genomes on the NCBI database. Out of the 30 species with >200 completely sequenced genomes, our analysis found Pseudomonas aeruginosa exhibits the greatest diversity of anti-phage systems, as measured by Shannon entropy. Using network analysis to identify the common neighbors of anti-phage systems, we identified two core defense hotspot loci (cDHS1 and cDHS2). cDHS1 is up to 224 kb (median: 26 kb) with varied arrangements of more than 30 distinct immune systems across isolates, while cDHS2 has 24 distinct systems (median: 6 kb). Both cDHS regions are occupied in a majority of P. aeruginosa isolates. Most cDHS genes are of unknown function potentially representing new anti-phage systems, which we validated by identifying a novel anti-phage system (Shango) commonly encoded in cDHS1. Identifying core genes flanking immune islands could simplify immune system discovery and may represent popular landing spots for diverse MGEs carrying anti-phage systems.

Genomes of bacterial and archaeal viruses are replete with fast-evolving, uncharacterized accessory genes (AGs), most of which likely antagonize host defenses or other viruses. We developed a computational pipeline to find AGs in bacteriophage genomes and built a high-throughput screening platform to assay their functions. This approach is targeted towards identifying the most salient antiviral mechanisms in any bacterial niche. We tested 200 Enterobacteriophage AGs in 20 wild Escherichia coli strains challenged with 8 phages. The most prominent AG functions we observed were antagonism of O-antigen-based barrier defense and restriction-modification (R-M) systems. In response to phage-encoded anti-R-M strategies, some Type I and III R-M systems surprisingly act as programmed-cell-death modules. Moreover, several hyper-variable AGs trigger other abortive defense systems, demonstrating that phage-associated molecular patterns that activate immunity need not be well-conserved. Our approach yields insights into the multiple levels of virus-host competition and can be rapidly deployed in various bacteria.