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The type V-A Cas12a protein can process its CRISPR array, a feature useful for multiplexed gene editing and regulation. However, CRISPR arrays often exhibit unpredictable performance due to interference between multiple guide RNA (gRNAs). Here, we report that Cas12a array performance is hypersensitive to the GC content of gRNA spacers, as high-GC spacers can impair activity of the downstream gRNA. We analyze naturally occurring CRISPR arrays and observe that natural repeats always contain an AT-rich fragment that separates gRNAs, which we term a CRISPR separator . Inspired by this observation, we design short, AT-rich synthetic separators ( synSeparators ) that successfully remove the disruptive effects between gRNAs. We further demonstrate enhanced simultaneous activation of seven endogenous genes in human cells using an array containing the synSeparator. These results elucidate a previously underexplored feature of natural CRISPR arrays and demonstrate how nature-inspired engineering solutions can improve multi-gene control in mammalian cells.

The global race against antimicrobial resistance requires novel antimicrobials that are not only effective in killing specific bacteria, but also minimize the emergence of new resistances. Recently, CRISPR/Cas-based antimicrobials were proposed to address killing specificity with encouraging results. However, the emergence of target sequence mutations triggered by Cas-cleavage was identified as an escape strategy, posing the risk of generating new antibiotic-resistance gene (ARG) variants. Here, we evaluated an antibiotic re-sensitization strategy based on CRISPR interference (CRISPRi), which inhibits gene expression without damaging target DNA. The resistance to four antibiotics, including last resort drugs, was significantly reduced by individual and multi-gene targeting of ARGs in low- to high-copy numbers in recombinant E. coli . Escaper analysis confirmed the absence of mutations in target sequence, corroborating the harmless role of CRISPRi in the selection of new resistances. E. coli clinical isolates carrying ARGs of severe clinical concern were then used to assess the robustness of CRISPRi under different growth conditions. Meropenem, colistin and cefotaxime susceptibility was successfully increased in terms of MIC (up to > 4-fold) and growth delay (up to 11 h) in a medium-dependent fashion. ARG repression also worked in a pathogenic strain grown in human urine, as a demonstration of CRISPRi-mediated re-sensitization in host-mimicking media. This study laid the foundations for further leveraging CRISPRi as antimicrobial agent or research tool to selectively repress ARGs and investigate resistance mechanisms.

Abstract Clustered Regularly Interspersed Short Palindromic Repeats and CRISPR-associated genes (CRISPR-Cas) is a bacterial immune system also famous for its use in genome editing. The diversity of known systems could be significantly increased by metagenomic data. Here we present the Metagenomic CRISPR Array Analysis Tool (MCAAT), a highly sensitive algorithm for finding CRISPR arrays in unassembled metagenomic data. It takes advantage of the properties of CRISPR arrays that form multicycles in de Bruijn graphs. We show that MCAAT reliably predicts CRISPR arrays in bacterial genome sequences and that its assembly-free graph-based strategy outperforms assembly-based workflows and other assembly-free methods on synthetic and real metagenomes. Our new approach will help to increase the diversity of known CRISPR-Cas systems and enable studies of spacer evolution within metagenomic data sets. Schematic representation of a CRISPR locus (L: leader, DR: direct repeat, Si: spacers) and its De Bruijn graph representation forming a tangle with three distinct cycles (orange, purple and green) connected at the repeat nodes (blue).

CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR associated) system exists in archaeal and bacterial cells as an adaptive immune system, offering acquired resistance against plasmids and bacteriophages. In recent years, the field of basic and applied biology has seen remarkable progress by targeted gene editing using the CRISPR-Cas system in eukaryotic genomes. CRISPR-Cas system based technologies have revolutionized crop improvement, medicines and novel energy resources. Bioinformatics techniques have been and continue to be the significant means to understand the intricacies and evolution of CRISPR-Cas systems. Numerous tools covering various aspects of CRISPR-Cas systems have already been developed to advanced levels of performance over time. Understanding these computational tools and techniques is important for advancements in both experimental and bioinformatics fields. In this review we have presented CRISPR-Cas systems and bioinformatics tools and techniques for CRISPR-Cas system prediction, gRNA (guide RNA) design, and PAM (Protospacer Adjacent Motif) prediction and also described CRISPR databases.

Tn7 family transposons are mobile genetic elements known for precise target site selection, with some co-opting CRISPR-Cas systems for RNA-guided transposition. We identified a novel group of Tn7-like transposons in Cyanobacteria that preferentially target CRISPR arrays, suggesting a new functional interaction between these elements and CRISPR-Cas systems. Using bioinformatics tools, we characterized their phylogeny, target specificity, and sub-specialization. The array-targeting elements are phylogenetically close to tRNA-targeting elements. The distinct target preference coincides with loss of a C-terminal region in the TnsD protein which is responsible for recognizing target sites when compared to closely related elements. Notably, elements are found integrated into a fixed position within CRISPR spacer regions, a behavior that might minimize negative impacts on the host defense system. These transposons were identified in both plasmid and genomic CRISPR arrays, indicating that their preferred target provides a means for both safe insertion in the host chromosome and a mechanism for dissemination. Attempts to reconstitute these elements in E. coli were unsuccessful, indicating possible dependence on native host factors. Our findings expand the diversity of interactions between Tn7-like transposons and CRISPR systems.

Escherichia coli is one of the most common causes of mastitis on dairy farms around the world, but its clinical severity is determined by a combination of virulence factors. Recently, clustered regularly interspaced short palindromic repeat (CRISPR) arrays have been reported as a novel typing method because of their usefulness in discriminating pathogenic bacterial isolates. Therefore, this study aimed to investigate the virulence potential of E. coli isolated from bulk tank milk, not from mastitis, and to analyze its pathogenic characterization using the CRISPR typing method. In total, 164 (89.6%) out of 183 E. coli isolated from the bulk tank milk of 290 farms carried one or more of eighteen virulence genes. The most prevalent virulence gene was fimH (80.9%), followed by iss (38.3%), traT (26.8%), ompT (25.7%), afa/draBC (24.0%), and univcnf (21.9%). Moreover, the phylogenetic group with the highest prevalence was B1 (64.0%), followed by A (20.1%), D (8.5%), and C (7.3%) (p < 0.05). Among the four CRISPR loci, only two, CRISPR 1 and CRISPR 2, were found. Interestingly, the distribution of CRISPR 1 was significantly higher in groups A and B1 compared to that of CRISPR 2 (p < 0.05), but there were no significant differences in groups C and D. The prevalence of CRISPR 1 by virulence gene ranged from 91.8% to 100%, whereas that of CRISPR 2 ranged from 57.5% to 93.9%. The distribution of CRISPR 1 was significantly higher in fimH, ompT, afa/draBC, and univcnf genes than that of CRISPR 2 (p < 0.05). The most prevalent E. coli sequence types (EST) among 26 ESTs was EST 22 (45.1%), followed by EST 4 (23.2%), EST 16 (20.1%), EST 25 (19.5%), and EST 24 (18.3%). Interestingly, four genes, fimH, ompT, afa/draBC, and univcnf, had a significantly higher prevalence in both EST 4 and EST 22 (p < 0.05). Among the seven protospacers derived from CRISPR 1, protospacer 163 had the highest prevalence (20.4%), and it only existed in EST 4 and EST 22. This study suggests that the CRISPR sequence-typing approach can help to clarify and trace virulence potential, although the E. coli isolates were from normal bulk tank milk and not from mastitis.

Fire Blight, an economically relevant disease of apple, pear, and quince trees that is caused by the Gram-negative bacterium Erwinia amylovora, was first reported from Kyrgyzstan in 2008. One decade later, the disease has spread across the northern part of the country, affecting fruit orchards mainly in Chuy and Issyk-kul regions. Using semi-selective cultural media, bacteria have been isolated from plant material sampled in infested orchards from different locations in Kyrgyzstan, and 16S rRNA gene sequence determination together with diagnostic PCR have been used to identify E. amylovora bacteria among isolates. The assignment to this taxonomic species has been corroborated by phylogenetic reconstruction using multilocus sequence analysis, and a short-sequence repeat (SSR) marker has been employed to estimate genetic diversity across the isolates. CRISPR analysis has revealed both a previously unreported CRISPR-2 array pattern and a close relationship of Kyrgyz E. amylovora isolates to strains present in Europe and the Middle East. This study presents the first consistent molecular taxonomic characterization of E. amylovora bacteria from Kyrgyzstan.

Background Many bacteria and archaea possess a defense system called clustered regularly interspaced short palindromic repeats (CRISPR) associated proteins (CRISPR-Cas system) against invaders such as phages or plasmids. This system has not been demonstrated in Helicobacter pylori . The numbers of spacer in CRISPR array differ among bacterial strains and can be used as a genetic marker for bacterial typing. Results A total of 36 H. pylori isolates were collected from patients in three hospitals located in the central (PBH) and southern (SKH) regions of Thailand. It is of interest that CRISPR-like sequences of this bacterium were detected in vlpC encoded for VacA-like protein C. Virulence genes were investigated and the most pathogenic genotype ( cagA vacA s1m1) was detected in 17 out of 29 (58.6%) isolates from PBH and 5 out of 7 (71.4%) from SKH. vapD gene was identified in each one isolate from PBH and SKH. CRISPR-like sequences and virulence genes of 20 isolates of H. pylori obtained in this study were analyzed and CRISPR-virulence typing was constructed and compared to profiles obtained by the random amplification of polymorphic DNA (RAPD) technique. The discriminatory power (DI) of CRISPR-virulence typing was not different from RAPD typing. Conclusion CRISPR-virulence typing in H. pylori is easy and reliable for epidemiology and can be used for inter-laboratory interpretation.

CRISPR-Cas systems of adaptive immunity in prokaryotes consist of CRISPR arrays (clusters of short repeated genomic DNA fragments separated by unique spacer sequences) and cas (CRISPR-associated) genes that provide cells with resistance against bacteriophages and plasmids containing protospacers, i.e. sequences complementary to CRISPR array spacers. CRISPR-Cas systems are responsible for two different cellular phenomena: CRISPR adaptation and CRISPR interference. CRISPR adaptation is cell genome modification by integration of new spacers that represents a unique case of Lamarckian inheritance. CRISPR interference involves specific recognition of protospacers in foreign DNA followed by introduction of breaks into this DNA and its destruction. According to the mechanisms of action, CRISPR-Cas systems have been subdivided into two classes, five types, and numerous subtypes. The development of techniques based on CRISPR interference mediated by the Type II system Cas9 protein has revolutionized the field of genome editing because it allows selective, efficient, and relatively simple introduction of directed breaks into target DNA loci. However, practical applications of CRISPR-Cas systems are not limited only to genome editing. In this review, we focus on the variety of CRISPR interference and CRISPR adaptation mechanisms and their prospective use in biotechnology.

Lineage relationships among the large number of heterogeneous cell types generated during development are difficult to reconstruct in a high-throughput manner. We recently established a method, scGESTALT, that combines cumulative editing of a lineage barcode array by CRISPR–Cas9 with large-scale transcriptional profiling using droplet-based single-cell RNA sequencing (scRNA-seq). The technique generates edits in the barcode array over multiple timepoints using Cas9 and pools of single-guide RNAs (sgRNAs) introduced during early and late zebrafish embryonic development, which distinguishes it from similar Cas9 lineage-tracing methods. The recorded lineages are captured, along with thousands of cellular transcriptomes, to build lineage trees with hundreds of branches representing relationships among profiled cell types. Here, we provide details for (i) generating transgenic zebrafish; (ii) performing multi-timepoint barcode editing; (iii) building scRNA-seq libraries from brain tissue; and (iv) concurrently amplifying lineage barcodes from captured single cells. Generating transgenic lines takes 6 months, and performing barcode editing and generating single-cell libraries involve 7 d of hands-on time. scGESTALT provides a scalable platform to map lineage relationships between cell types in any system that permits genome editing during development, regeneration, or disease.