Biology subjects

Mayo-Munoz, D.

Publications and source records attributed to Mayo-Munoz, D..

7 recordsLinked to original sources

bioRxiv2026

Phage-encoded single-guide RNAs subvert CRISPR-Cas9 immunity

Central to CRISPR technologies is the single-guide RNA (sgRNA), an engineered fusion of a processed CRISPR RNA and tracrRNA that directs Cas9 and many Cas12 nucleases to bind and cleave target DNA1-4. Here, we report the discovery of similarly compact viral sgRNAs (vsgRNAs) encoded by bacteriophages that counteract bacterial CRISPR-Cas9 immunity. vsgRNAs inhibit Cas9 function via two complementary routes: by sequestering the Cas9 apoenzyme, and by re-directing the Cas9 nuclease to transcriptionally silence its own promoter. vsgRNAs also can cooperate with co-encoded anti-CRISPR proteins (Acrs), including AcrIIA25.1 that blocks DNA binding by Cas9 complexed with a standard sgRNA but not with the vsgRNA. We predict that phages evolved vsgRNAs by co-opting and repurposing host-encoded long-form tracrRNAs (tracr-L) responsible for Cas9 auto-repression and a countermeasure to Acrs5,6. Our search also uncovered Cas9-regulating small CRISPR-associated RNAs (scaRNAs), which we predict were inserted upstream of tracrRNAs to form tracr-L but were also co-opted by phages as viral scaRNAs to suppress Cas9 immunity. Finally, we found that vsgRNAs can enable genome editing in mammalian cells, offering a natural guide RNA template for CRISPR technologies. Overall, these findings reveal that bacteriophages devised their own compact sgRNAs tailored to subvert Cas9 immunity, long preceding their rational design to program RNA-guided nucleases2.

microbiology↗

bioRxiv2026

Comparison of CRISPR-Cas-based knockdown of endogenous mRNA in sensory neurons

RNA-targeting CRISPR-Cas systems enable modulation of gene expression without permanent genome modification, making them useful for sensitive cell types such as neurons. While CRISPR-Cas technologies have been most extensively applied and validated in primary hippocampal and cortical neurons, their use in sensory neurons remains largely unexplored. Sensory neurons are an established cellular model for studying axon growth and regeneration, pain mechanisms, sensory transduction, and neuron-environment interactions. Here, we evaluated the performance of compact RNA-targeting CRISPR-Cas effectors Cas7-11S, hfCas13X, and hfCas13d in primary rat sensory neurons in culture. Using an endogenous mRNA as the target, we compared knockdown efficiency and assessed the effects of CRISPR-Cas expression on neuronal health. The systems showed distinct differences in performance, with Cas7-11S inducing toxicity, hfCas13X showing minimal knockdown, and hfCas13d providing robust gene silencing with minimal adverse effects on neuronal health. These findings identify hfCas13d as an effective and well-tolerated RNA-targeting CRISPR-Cas tool for sensory neurons and provide important insight into its suitability for neuroscience research and potential therapeutic applications.

cell biology↗

bioRxiv2024

Multilayered interaction between CRISPR-Cas subtype I-A and adjacently encoded Acrs of virus SIRV2

Among the >100 anti-CRISPRs (Acrs) identified to date, the vast majority inhibit CRISPR-Cas immunity on its own. Here we report a multilayered interaction between CRISPR-Cas subtype I-A immunity and two Acrs encoded adjacently in the genome of Saccharolobus virus SIRV2, gp47 (AcrIA3) and gp48 (previously known as AcrIIIB1, hence termed AcrIIIB1/AcrIA4). The host subtype I-A CRISPR-Cas interference module was shown previously to be up-regulated upon SIRV2 infection, through the release of transcriptional repressor Csa3b from the promoter. We demonstrate that AcrIIIB1/AcrIA4 on its own increases viral infectivity 4-5 orders of magnitude in the presence of the host subtype I-A CRISPR-Cas immunity. This Acr is able to completely inhibit the subtype I-A CRISPR-Cas immunity when the transcriptional activation of the latter is artificially removed, suggesting that Acrs might be one of the driving forces for the evolution of CRISPR-Cas up-regulation. Interestingly, AcrIA3 cooperates with AcrIIIB1/AcrIA4 by inhibiting transcriptional activation of the host subtype I-A CRISPR-Cas interference module through interaction with the promoter of the latter. Taken together, our data shed light on how virus-host arms race shaped the evolution of CRISPR-Cas and Acrs.

microbiology↗

bioRxiv2022

Type III CRISPR-Cas provides resistance against nucleus-forming jumbo phages via abortive infection

Bacteria have diverse defences against phages. In response, jumbo phages evade multiple DNA-targeting defences by protecting their DNA inside a nucleus-like structure. We previously demonstrated that RNA-targeting type III CRISPR-Cas systems provide jumbo phage immunity by recognising viral mRNA exported from the nucleus for translation. Here, we demonstrate that recognition of phage mRNA by the type III system activates a cyclic triadenylate-dependent accessory nuclease, NucC. Although unable to access phage DNA in the nucleus, NucC degrades the bacterial chromosome, triggers cell death, and disrupts phage replication and maturation. Hence, type III-mediated jumbo phage immunity occurs via abortive infection, with suppression of the viral epidemic protecting the population. We further show that type III systems targeting jumbo phages have diverse accessory nucleases, including RNases that provide immunity. Our study demonstrates how type III CRISPR-Cas systems overcome the inaccessibility of jumbo phage DNA to provide robust immunity.

microbiology↗

bioRxiv2021

CRISPR-Cas systems are widespread accessory elements across bacterial and archaeal plasmids

Many prokaryotes encode CRISPR-Cas systems as immune protection against mobile genetic elements (MGEs), yet, a number of MGEs also harbor CRISPR-Cas components. With a few exceptions, CRISPR-Cas loci encoded on MGEs are uncharted and a comprehensive analysis of their distribution, prevalence, diversity, and function is lacking. Here, we systematically investigated CRISPR-Cas loci across the largest curated collection of natural bacterial and archaeal plasmids. CRISPR-Cas loci are widely but heterogeneously distributed across plasmids and, in comparison to host chromosomes, their mean prevalence per Mbp is higher and their distribution is markedly distinct. Furthermore, the spacer content of plasmid CRISPRs exhibits a strong targeting bias towards other plasmids, while chromosomal arrays are enriched with virus-targeting spacers. These contrasting targeting preferences dominate across the diversity of CRISPR-Cas subtypes and host taxa, highlighting the genetic independence of plasmids and suggesting a major role of CRISPR-Cas for mediating plasmid-plasmid conflicts. Altogether, CRISPR-Cas are frequent accessory components of many plasmids, which is an overlooked phenomenon that possibly facilitates their dissemination across microbiomes.

microbiology↗

bioRxiv2020

CRISPRCasTyper: An automated tool for the identification, annotation and classification of CRISPR-Cas loci

CRISPR-Cas loci encode for highly diversified prokaryotic adaptive defense systems that have recently become popular for their applications in gene editing and beyond. The increasing demand for bioinformatic tools that systematically detect and classify CRISPR-Cas systems has been largely challenged by their complex dynamic nature and rapidly expanding classification. Here, we developed CRISPRCasTyper, a new automated software tool with improved capabilities for identifying and typing CRISPR arrays and cas loci across prokaryotic sequences, based on the latest classification and nomenclature (39 subtypes/variants) (Makarova et al. 2020; Pinilla-Redondo et al. 2019). As a novel feature, CRISPRCasTyper uses a machine learning approach to subtype CRISPR arrays based on the sequences of the direct repeats. This allows the typing of orphan and distant arrays which, for example, are commonly observed in fragmented metagenomic assemblies. Furthermore, the tool provides a graphical output, where CRISPRs and cas operon arrangements are visualized in the form of colored gene maps, thus aiding annotation of partial and novel systems through synteny. Moreover, CRISPRCasTyper can resolve hybrid CRISPR-Cas systems and detect loci spanning the ends of sequences with a circular topology, such as complete genomes and plasmids. CRISPRCasTyper was benchmarked against a manually curated set of 31 subtypes/variants with a median accuracy of 98.6%. Altogether, we present an up-to-date and freely available software pipeline for significantly improved automated predictions of CRISPR-Cas loci across genomic sequences. ImplementationCRISPRCasTyper is available through conda and PyPi under the MIT license (https://github.com/Russel88/CRISPRCasTyper), and is also available as a web server (http://cctyper.crispr.dk).

bioinformatics↗

bioRxiv2019

Type IV CRISPR-Cas systems are highly diverse and involved in competition between plasmids

CRISPR-Cas systems provide prokaryotes with adaptive immune functions against viruses and other genetic parasites by leveraging small non-coding RNAs for nuclease-dependent degradation of their nucleic acid targets. In contrast to all other types of CRISPR-Cas systems, the mechanisms and biological roles of type IV systems have remained largely overlooked. Here, we describe a previously uncharted diversity of type IV gene cassettes, distributed across diverse prokaryotic genome backgrounds, and propose their classification into subtypes and variants. Congruent with recent findings, type IV modules were primarily found on plasmid-like elements. Remarkably, via a comprehensive analysis of their CRISPR spacer content, these systems were found to exhibit a strong bias towards the targeting of other plasmids. Our data indicate that the functions of type IV systems have diverged from those of other host-related CRISPR-Cas immune systems to adopt a yet unrecognised role in mediating conflicts between plasmids that compete to monopolize their hosts. Furthermore, we find evidence for cross-talk between certain type IV and type I CRISPR-Cas systems that co-exist intracellularly, thus providing an answer to the enigmatic absence of adaptation modules in these systems. Collectively, our results lead to the expansion and reclassification of type IV systems and provide novel insights into the biological function and evolution of these elusive systems.

microbiology↗