Signaling from pathogen sensing to effector activation is a fundamental principle of cellular immunity. Whereas cyclic (oligo)nucleotides have emerged as key signaling molecules, the existence of other messengers remains largely unexplored. In this study, we reveal a bacterial antiphage system that mediates immune signaling through nucleobase modification.
View Article and Find Full Text PDFCas13-containing type VI CRISPR-Cas systems specifically target RNA; however, the mechanism of spacer acquisition remains unclear. We have previously reported the association of reverse transcriptase-Cas1 (RT-Cas1) fusion proteins with certain types of VI-A systems. Here, we show that RT-Cas1 fusion proteins are also recruited by type VI-B systems in bacteria from gut microbiomes, constituting a VI-B1 variant system that includes a CorA-encoding locus in addition to the CRISPR array and the RT-Cas1/Cas2 adaptation module.
View Article and Find Full Text PDFThe evolutionary arms race between bacteria and phages has driven the development of diverse anti-phage defense mechanisms. Recent studies have identified noncoding RNAs (ncRNAs) as key players in bacteria-phage conflicts, including CRISPR-Cas, toxin-antitoxin (TA), and reverse transcriptase (RT)-based defenses; however, our understanding of their roles in immunity is still emerging. In this review, we explore the multifaceted roles of ncRNAs in bacterial immunity, offering insights into their contributions to defense and anti-defense mechanisms, their influence on immune regulatory networks, and potential biotechnological applications.
View Article and Find Full Text PDFRetrons are toxin-antitoxin systems protecting bacteria against bacteriophages via abortive infection. The Retron-Eco1 antitoxin is formed by a reverse transcriptase (RT) and a non-coding RNA (ncRNA)/multi-copy single-stranded DNA (msDNA) hybrid that neutralizes an uncharacterized toxic effector. Yet, the molecular mechanisms underlying phage defense remain unknown.
View Article and Find Full Text PDFPlasmid-encoded type IV-A CRISPR-Cas systems lack an acquisition module, feature a DinG helicase instead of a nuclease, and form ribonucleoprotein complexes of unknown biological functions. Type IV-A3 systems are carried by conjugative plasmids that often harbor antibiotic-resistance genes and their CRISPR array contents suggest a role in mediating inter-plasmid conflicts, but this function remains unexplored. Here, we demonstrate that a plasmid-encoded type IV-A3 system co-opts the type I-E adaptation machinery from its host, Klebsiella pneumoniae (K.
View Article and Find Full Text PDFReverse transcriptases (RTs) are enzymes capable of synthesizing DNA using RNA as a template. Within the last few years, a burst of research has led to the discovery of novel prokaryotic RTs with diverse antiviral properties, such as DRTs (Defense-associated RTs), which belong to the so-called group of unknown RTs (UG) and are closely related to the Abortive Infection system (Abi) RTs. In this work, we performed a systematic analysis of UG and Abi RTs, increasing the number of UG/Abi members up to 42 highly diverse groups, most of which are predicted to be functionally associated with other gene(s) or domain(s).
View Article and Find Full Text PDFFEMS Microbiol Rev
November 2021
Reverse transcriptases (RTs) catalyze the polymerization of DNA from an RNA template. These enzymes were first discovered in RNA tumor viruses in 1970, but it was not until 1989 that they were found in prokaryotes as a key component of retrons. Apart from RTs encoded by the 'selfish' mobile retroelements known as group II introns, prokaryotic RTs are extraordinarily diverse, but their function has remained elusive.
View Article and Find Full Text PDFBacterial retrons consist of a reverse transcriptase (RT) and a contiguous non-coding RNA (ncRNA) gene. One third of annotated retrons carry additional open reading frames (ORFs), the contribution and significance of which in retron biology remains to be determined. In this study we developed a computational pipeline for the systematic prediction of genes specifically associated with retron RTs based on a previously reported large dataset representative of the diversity of prokaryotic RTs.
View Article and Find Full Text PDFType VI CRISPR-Cas systems contain a single effector nuclease (Cas13) that exclusively targets single-stranded RNA. It remains unknown how these systems acquire spacers. It has been suggested that type VI systems with adaptation modules can acquire spacers from RNA bacteriophages, but sequence similarities suggest that spacers may provide immunity to DNA phages.
View Article and Find Full Text PDFProkaryotic genomes harbour a plethora of uncharacterized reverse transcriptases (RTs). RTs phylogenetically related to those encoded by group-II introns have been found associated with type III CRISPR-Cas systems, adjacent or fused at the C-terminus to Cas1. It is thought that these RTs may have a relevant function in the CRISPR immune response mediating spacer acquisition from RNA molecules.
View Article and Find Full Text PDFReverse transcriptases (RTs) closely related to those encoded by group II introns but lacking the intron RNA structure have been found associated with type III clustered regularly interspaced short palindromic repeats (CRISPR)-Cas systems, a prokaryotic immune system against invading viruses and foreign genetic elements. Two models have been proposed to explain the origin and evolutionary relationships of these RTs: (i) the "single point of origin" model, according to which these RTs originated from a single acquisition event in bacterial, with the various protein domains (RT, RT-Cas1, and Cas6-RT-Cas1 fusions) corresponding to single points in evolution; and (ii) the "various origins" model, according to which, independent acquisition events in different evolutionary episodes led to these fusions. We tested these alternative hypotheses, by analyzing and integrating published datasets of RT sequences associated with CRISPR-Cas systems and inferring phylogenetic trees by maximum likelihood (ML) methods.
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