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At least 19 recordsLinked to original sources

PubMed2026

Enhanced exonuclease-Cas9 systems promote multiple nucleotide deletions with higher efficiency and broader targeting scope in plants.

CRISPR-Cas9 is a widely used platform for plant genome editing, but its outcomes are typically dominated by small insertions and deletions (indels). Such limited mutation profiles restrict its utility in functional studies of non-coding RNAs and regulatory elements, such as microRNAs (miRNAs), untranslated regions (UTRs), and promoter sequences, where larger sequence disruptions are often required. Here, we developed enhanced exonuclease-Cas9 platforms, termed multiple nucleotide deletion Cas9 (MND-Cas9) systems, for efficient generation of large deletions in rice. By screening four exonucleases (RecJ, T5, TREX2, and SbcB), we established MND-Cas9v1 systems based on TREX2 or SbcB that produced substantially larger deletions without reducing editing efficiency. Further optimization with an inserted DNA-binding domain (DBD) between Cas9 and exonuclease yielded MND-Cas9v2, which simultaneously enhanced efficiency and deletion size. To expand PAM compatibility, we introduced PAM-relaxed Cas9-NG and SpG variants, generating MND-Cas9-NG/SpGv2 systems with broader targeting scope and superior performance compared to their parental nucleases. Finally, we demonstrated the utility of these systems in two applications: MND-Cas9v2 efficiently knocked out the miRNA gene OsMIR530, producing larger seeds, and generated extended deletions in the 3'UTR of OsGhd2, which upregulated its expression and increased grain size. These results demonstrate that MND-Cas9 systems enable high-efficiency generation of extended deletions and facilitate functional analyses of non-coding RNAs and regulatory sequences. Overall, this work establishes a versatile and expandable exonuclease-Cas9 platform that substantially broadens the mutational spectrum and application potential of CRISPR-Cas9 for plant genome engineering.

CRISPR-Cas Systems↗

PubMed2025

Structure-activity relationships study on inhibition of CRISPR-Cas9 by glycosaminoglycans.

The CRISPR-Cas9 system is a revolutionary genome editing system known for its precision, simplicity and efficiency, playing a crucial role in gene-editing. It has enabled applications ranging from biomedicine to agriculture. However, the uncontrollable activity of Cas9 has raised significant safety concerns in clinical settings, limiting its broader application. Consequently, regulating CRISPR-Cas9 activity holds substantial promise for enhancing the safety and efficacy of gene-editing technologies. In this study, we demonstrated that sulfated glycosaminoglycans (GAGs) exhibit inhibitory effects of Cas9. Specifically, both chondroitin sulfate (CS) and heparin (HP) can inhibit CRISPR/Cas9 activity, with heparin showing a stronger inhibitory effect that correlates positively with its concentration. Molecular dynamics simulations indicate that sulfated heparin residues might inhibit Cas9 function by binding to essential DNA-binding sites, which are crucial for functional interactions, potentially impairing activity. Additionally, higher molecular weight GAGs exhibit enhanced inhibitory effects under the same sulphation. Notably, the sulfation site also influenced activity. C6-sulfation of chondroitin sulfate is more favorable for Cas9 inhibition, and N-sulfation of heparin enhances its inhibitory effect on Cas9 activity. These findings provide valuable insights into the development of carbohydrate-based inhibitors for CRISPR-Cas9, offering a foundation for further exploration in this field.

CRISPR-Cas Systems↗

PubMed2026

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

MOTIVATION: CRISPR-Cas9 genome-editing efficiency is strongly influenced by the sequence composition and positional context of single-guide RNAs (sgRNAs). Although numerous deep learning-based models have been developed to predict Cas9 efficiency from sgRNA sequences, most operate as black boxes, offering limited insight into the sequence determinants underlying Cas9 activity. In addition, previous studies often overlook how the positional context of sequence motifs within sgRNAs influences their effects on Cas9 binding or cleavage. RESULTS: We introduce DeepCC9, an interpretable machine learning framework that combines explicit sequence feature extraction with a residual block-based deep architecture to improve interpretability and identify composition- and position-based motifs governing Cas9 genome-editing efficiency. We applied this method to multiple Cas9 variant datasets, achieving superior predictive performance compared with existing methods while enabling direct interpretation of sequence motifs and their positional effects. Our analysis uncovered 74 sequence motifs enriched or depleted at specific positions within sgRNAs and strongly associated with Cas9 efficiency, providing mechanistic insight into sequence features that influence guide performance. Together, these results establish DeepCC9 as a generalizable and interpretable framework for modeling sequence-function relationships and advancing the understanding of the sequence determinants underlying CRISPR-Cas9 genome editing. AVAILABILITY AND IMPLEMENTATION: The authors have implemented their algorithm in the Python programming language (version 3.X), which is accessible using (https://zenodo.org/records/20073890).

Deep Learning↗

PubMed2025

Quantifying Protein-Nucleic Acid Interactions for Engineering Useful CRISPR-Cas9 Genome-Editing Variants.

Numerous high-specificity Cas9 variants have been engineered for precision genome editing. These variants typically harbor multiple mutations designed to alter the Cas9-single guide RNA (sgRNA)-DNA complex interactions for reduced off-target cleavage. By dissecting the contributions of individual mutations, we attempt to derive principles for designing high-specificity Cas9 variants. Here, we computationally modeled the specificity harnessing mutations of the widely used Cas9 isolated from Streptococcus pyogenes (SpCas9) and investigated their individual mutational effects. We quantified the mutational effects in terms of energy and contact changes by comparing the wild-type and mutant structures. We found that these mutations disrupt the protein-protein or protein-DNA contacts within the Cas9-sgRNA-DNA complex. We also identified additional impacted amino acid sites via energy changes that constitute the structural microenvironment encompassing the focal mutation, giving insights into how the mutations contribute to the high-specificity phenotype of SpCas9. Our method outlines a strategy to evaluate mutational effects that can facilitate rational design for Cas9 optimization.

Gene Editing↗

PubMed2025

Visualizing the conformational landscape of CRISPR-Cas9 through kinetics-informed structural studies.

CRISPR-Cas9 has transformed genome editing through its programmability and versatility. Its DNA cleavage activity involves dynamic conformational changes during gRNA binding, DNA recognition, R-loop formation, and endonuclease activation. Understanding these molecular transitions is critical for improving the specificity and efficiency of Cas9, but this remains challenging precisely due to these rapid structural rearrangements. Early structural studies provided foundational insights but were limited to static states under catalytically inactive conditions. Cryo-EM has since enabled visualization of the dynamic nature of active Cas9, by enriching for specific conformations. This chapter introduces a kinetics-informed cryo-EM approach to capture the stepwise activation of Cas9 in real time. With thorough kinetic analyses, such as stopped-flow measurements of R-loop formation, we describe how to identify optimal timepoints to visualize key conformational states with cryo-EM. Integration of kinetic and structural data enables precise mapping of the conformational landscape of Cas9 and other dynamic enzymes, advancing our understanding of their molecular mechanisms and providing a framework for engineering enhanced variants.

Cryoelectron Microscopy↗

PubMed2025

Engineered virus-like particle-assembled Vegfa-targeting Cas9 ribonucleoprotein treatment alleviates neovascularization in wet age-related macular degeneration.

BACKGROUND: Age-related macular degeneration, particularly the wet form, is a leading cause of vision loss, characterized by vascular endothelial growth factor A (VEGFA) overproduction. Engineered virus-like particles (eVLPs) combine the efficiency of viral systems with the transient nature of non-viral platforms to offer a potential solution for delivering VEGFA-targeting genome editing enzymes in a safe and efficient manner. Here, we investigate the therapeutic efficacy of eVLPs for transient delivery of Vegfa-targeting Cas9 ribonucleoprotein in a laser-induced choroidal neovascularization mouse model of wet age-related macular degeneration. RESULTS: We find that Cas9-eVLPs enables efficient intracellular delivery in vitro, achieving up to 99% insertion and deletion frequency at Vegfa target locus and significant VEGFA protein downregulation in NIH/3T3 cells. A single subretinal injection of Cas9-eVLPs into the mouse retinal pigment epithelium effectively disrupts Vegfa expression, achieving an average indel efficiency of 16.7%. Compared to control groups, the laser-induced choroidal neovascularization mouse model exhibits significantly reduced choroidal neovascularization formation following Cas9-eVLPs intervention, and decreased VEGFA protein levels are detected in the retinal pigment epithelium. Furthermore, the retinal anatomical and functional toxicity are not affected after treatment. CONCLUSIONS: eVLPs exhibit the potential as a safe and efficient delivery platform for Cas9 ribonucleoproteins, achieving precise Vegfa downregulation and significant reduction in choroidal neovascularization in a mouse model of wet age-related macular degeneration. With transient delivery of gene editing enzymes, high editing efficiency, and minimal risk of genomic integration, eVLPs present a promising alternative to conventional delivery systems for advancing genome editing therapies in retinal diseases.

CRISPR-Associated Protein 9↗

PubMed2026

An inducer-independent, single-plasmid CRISPR-Cas9 system for genome editing in Bacillus species.

Advances in molecular biology tools are essential for streamlining and accelerating genetic engineering of cells across industrial and academic applications. While CRISPR-Cas improves genome editing efficiency, current systems have limitations and are often host specific, which restricts their versatility. This study describes a versatile CRISPR-Cas9 system for genome editing in industrially relevant Bacillus species. By adapting the well-established pJOE8999 vector-based CRISPR-Cas9 genome editing system, we constructed an inducer-independent, broad-host-range genome editing system. It maintains the benefits of low toxicity to the target cell and the cloning host as well as the ease to use of a single-plasmid CRISPR-Cas9 system. We utilized the constitutive Sigma70-type promoter from the conserved veg gene of Bacillus, to develop and test the suitability of promoter variants of different strengths for Cas9 expression. Successful gene deletions in three different Bacillus species demonstrated the versatility of the modified system for this industrially important genus. This was further confirmed by the integration of a reporter gene fusion and the introduction of a single point mutation in the genome of Bacillus licheniformis. This one-step CRISPR-based transformation protocol developed in this study enables fast genome editing workflows with minimal hands-on time. KEY POINTS: • Editing and screening of promoter variants for balanced Cas9 expression in Bacillus. • Development of a versatile inducer-independent, single-plasmid CRISPR-Cas-based system. • Verification of the modified CRISPR-based system for genome editing in different Bacilli.

CRISPR-Cas Systems↗

PubMed2025

Experimental Test of Evolutionary Safety of a CRISPR-Cas9 Gene-Drive Element.

CRISPR-Cas9 gene drives (CCGDs) are powerful tools for genetic control of wild populations, with applications from disease eradication to species conservation. However, Cas9 alone and in a complex with gRNA can cause double-stranded DNA breaks at off-target sites, which could increase the mutational load and lead to unintended loss-of-heterozygosity (LOH) events. These undesired effects raise potential concerns about the long-term evolutionary safety of CCGDs, but the magnitude of these effects is unknown. To measure how the presence of a CCGD or a Cas9 alone in the genome affects the rates of LOH events and de novo mutations, we carried out a mutation accumulation experiment in yeast Saccharomyces cerevisiae. We found no detectable effects on the genome-wide rates of mutations or LOH events. Our power calculations suggest that CCGD or Cas9 affect these rates by less than 30%, which is much less than natural variation for these traits in yeast. A more detailed examination shows that CCGD or Cas9 may alter the lengths and genomic distributions of LOH events, but the statistical support for these effects is weak. Thus, our results demonstrate that CCGDs impose at most a weak additional mutational burden in the yeast model. Although mutagenic effects of gene drives need to be further evaluated in other systems, our results add credence to the proposition that the evolutionary risks posed by well designed gene drives are likely acceptable.

Journal Article↗

PubMed2024

Non-replicative phage particles delivering CRISPR-Cas9 to target major blaCTX-M variants.

Cluster regularly interspaced short palindromic repeats and CRISPR associated protein 9 (CRISPR-Cas9) is a promising tool for antimicrobial re-sensitization by inactivating antimicrobial resistance (AMR) genes of bacteria. Here, we programmed CRISPR-Cas9 with common spacers to target predominant blaCTX-M variants in group 1 and group 9 and their promoter in an Escherichia coli model. The CRISPR-Cas9 was delivered by non-replicative phagemid particles from a two-step process, including insertion of spacer in CRISPR and construction of phagemid vector. Spacers targeting blaCTX-M promoters and internal sequences of blaCTX-M group 1 (blaCTX-M-15 and -55) and group 9 (blaCTX-M-14, -27, -65, and -90) were cloned into pCRISPR and phagemid pRC319 for spacer evaluation and phagemid particle production. Re-sensitization and plasmid clearance were mediated by the spacers targeting internal sequences of each group, resulting in 3 log10 to 4 log10 reduction of the ratio of resistant cells, but not by those targeting the promoters. The CRISPR-Cas9 delivered by modified ΦRC319 particles were capable of re-sensitizing E. coli K-12 carrying either blaCTX-M group 1 or group 9 in a dose-dependent manner from 0.1 to 100 multiplicity of infection (MOI). In conclusion, CRISPR-Cas9 system programmed with well-designed spacers targeting multiple variants of AMR gene along with a phage-based delivery system could eliminate the widespread blaCTX-M genes for efficacy restoration of available third-generation cephalosporins by reversal of resistance in bacteria.

CRISPR-Cas Systems↗

PubMed2025

General and robust sample preparation strategies for cryo-EM studies of CRISPR-Cas9 and Cas12 enzymes.

Cas9 and Cas12 are RNA-guided DNA endonucleases derived from prokaryotic CRISPR-Cas adaptive immune systems that have been repurposed as versatile genome-engineering tools. Computational mining of genomes and metagenomes has expanded the diversity of Cas9 and Cas12 enzymes that can be used to develop versatile, orthogonal molecular toolboxes. Structural information is pivotal to uncovering the precise molecular mechanisms of newly discovered Cas enzymes and providing a foundation for their application in genome editing. In this chapter, we describe detailed protocols for the preparation of Cas9 and Cas12 enzymes for cryo-electron microscopy. These methods will enable fast and robust structural determination of newly discovered Cas9 and Cas12 enzymes, which will enhance the understanding of diverse CRISPR-Cas effectors and provide a molecular framework for expanding CRISPR-based genome-editing technologies.

Cryoelectron Microscopy↗

PubMed2026

Cross-target and cell-preferential CRISPR-Cas9 inhibition with carbohydrate-tagged oligonucleotides.

Precise control of clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9) activity is important for limiting off-target effects and chromosomal rearrangements. Existing inhibitors, including anti-CRISPR proteins and spacer-targeting oligonucleotides, can be constrained by immunogenicity, target-sequence dependence, or delivery challenges. Here, we developed single-stranded DNA oligonucleotides that target conserved regions of the Streptococcus pyogenes Cas9 single-guide RNA (sgRNA) scaffold rather than the variable spacer. Screening identified single-stranded DNA 7 (ssDNA7), which targets stem-loop-1 and the adjacent linker and inhibits Cas9 activity across multiple tested spacer sequences and genomic loci without redesigning the inhibitor. Carbohydrate conjugation improved oligonucleotide stability and preferentially enhanced inhibitory activity in selected liver-derived or cancer cell models. Amplicon sequencing confirmed inhibition of endogenous editing in multiple cell models and normal liver-derived organoids, and supported cell-preferential inhibition in matched cell comparisons. These findings establish sgRNA-scaffold targeting as a strategy for cross-target inhibition of Cas9 and show that carbohydrate conjugation can tune its cellular activity.

CRISPR-Cas9↗

PubMed2026

Minimizing Off-Target Effects of CRISPR-Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region.

CRISPR-Cas9 is a widely used genetic tool with therapeutic potential in molecular biology. CRISPR-Cas9 enables precise genome editing by its ability to target specific DNA sequence. After off-target and on-target regions are identified, CRISPR-Cas9 is applied to these regions based on the match between the guide RNA (gRNA) and target DNA sequence. This study points to the off-target impact of mismatches between the gRNA and target DNA on exon regions of the TP53 gene, which are involved in regulating multiple genes and cellular functions. Off-target positions are typically evaluated using scoring methods. In this study, we have used latent class analysis to reveal subclasses of off-target positions. Thus, we have created the levels of off-target positions and evaluated the effects of mismatching positions within these classes using machine learning classifiers. The results revealed that mismatching positions could be categorized into three levels: low, middle, and high off-target positions. We have improved a computational framework to minimize off-target effects and to identify the PAM sequences in the gRNA design. Thus, carefully designed gRNAs will ensure that desired genetic edits are performed and target variants are achieved. This work will avail the future research aimed at optimizing genome editing by customizing CRISPR-Cas9 to target specific protospacer DNA through gRNA.

CRISPR-Cas Systems↗

PubMed2026

CROP: a feature-independent context-aware method for CRISPR-Cas9 frameshift prediction.

MOTIVATION: The CRISPR-Cas9 complex has revolutionized genome-editing technologies. By designing a 20 nt-long guide RNA, a Cas9 nuclease can be guided to cleave almost any genomic target site (followed by NGG). The cleavage induces double-stranded DNA breaks, which are then repaired by cellular pathways. Accurate CRISPR-Cas9 repair-outcome prediction is essential for designing guide RNAs with desired genomic effects, such as gene knockout. A central challenge is quantifying the rate of frameshifts, i.e. repair-outcomes that lead to a change in the local length that is not a multiple of three. Previous methods for frameshift-rate prediction were trained on only a few experimental or cellular contexts, mostly relied on manually defined microhomology features, and were limited by sparse features and class labels. RESULTS: We developed CROP, a feature-independent context-aware repair-outcome prediction method. By aggregating specific repair outcomes as Δlength classes, CROP overcomes class sparsity. We designed CROP to work with variable input sequence lengths and output classes to utilize multiple datasets simultaneously. We benchmarked CROP against state-of-the-art repair-outcome prediction methods over 18 datasets, which we curated and standardized from various studies. Across all datasets, CROP outperformed all competing methods in frameshift-rate prediction. We performed cross-experiment and cross-cellular frameshift-rate predictions to investigate the generalizability of repair mechanisms. Finally, we show that CROP learned microhomology principles from raw sequences without explicit feature engineering, establishing an end-to-end architecture for CRISPR-Cas9 repair-outcome prediction that learns from multiple datasets. AVAILABILITY AND IMPLEMENTATION: CROP is available at https://github.com/OrensteinLab/CROP.

CRISPR-Cas Systems↗

PubMed2025

Low-temperature embryo incubation suppresses off-target mutagenesis during CRISPR-Cas9 genome editing in medaka (Oryzias latipes) and zebrafish (Danio rerio).

Gene knockout using CRISPR-Cas9 is often employed in research aimed at elucidating gene functions in fish. However, CRISPR-Cas9 sometimes introduces unintended alterations, known as off-target mutations. These mutations can reduce the robustness of data during phenotypic analysis. In this study, we focused on the culture temperature, which is known to significantly influence mutagenesis, and examined whether low-temperature culture after introducing CRISPR-Cas9 into early embryos of medaka and zebrafish suppresses off-target mutations. Continuous incubation of medaka at 16 °C significantly reduced off-target mutation rates compared to those at 28 °C; the drawback is that it decreased the survival rate of medaka embryos. Therefore, low-temperature incubation was limited to early development in both zebrafish and medaka, and then the temperature was increased to 28 °C. Under these conditions, the mutation rates of the three off-target regions in medaka (Off-D, Off-P, and Off-A) significantly decreased, whereas those of the three target regions (DJ-1, p4hb, and avt) were unaffected. Similarly, the mutation rate of the zebrafish target region (ywhaqa) remained high, whereas the off-target (Off-Y1) mutation rate significantly reduced. Furthermore, this method effectively suppressed the germ line transmission of off-target mutations in medaka. This approach is effective to obtain more reliable data from the G0 generation of medaka and zebrafish and may reduce the screening effort required to remove individuals with off-target mutations in the F1 generation.

Animals↗

PubMed2025

Accurate serotype identification of Streptococcus pneumoniae using nanopore Cas9-targeted serotype identification (nCATSerotyping).

Streptococcus pneumoniae (pneumococcus) is a leading cause of community-acquired pneumonia and invasive diseases, particularly among children and the elderly. The introduction of pneumococcal conjugate vaccines has significantly reduced invasive pneumococcal disease, but the prevalence of non-vaccine serotypes and newly emerging serotypes is increasing globally. Thus, accurate serotyping is essential for epidemiological surveillance and the development of next-generation multivalent pneumococcal vaccines. Conventional serotyping methods, including multiplex polymerase chain reaction (mPCR), monoclonal antibody (mAb) assays, and Quellung reaction using rabbit antisera, are limited by serotype coverage and cross-reactivity, making the detection of new or emerging serotypes challenging. In this study, we developed a nanopore Cas9-targeted serotyping (nCATSerotyping) platform, which employs Cas9-mediated enrichment of the capsular polysaccharide synthesis locus followed by Oxford Nanopore sequencing. Applying this method to 276 clinical pneumococcal isolates collected in South Korea (2018-2020), we achieved a serotyping success rate of 97.10% (268/276), significantly outperforming conventional methods such as mAb and mPCR, which identified only 76.45% (211/276) of isolates. Whole-genome sequencing of the remaining eight non-typeable isolates revealed them to be non-pneumococcal (oral streptococci), confirming 100% accuracy for S. pneumoniae serotyping. Importantly, our method identified emerging and underrepresented serotypes, including serotype 13 and null capsule clade strains. nCATSerotyping offers a rapid, accurate, and comprehensive solution for pneumococcal serotyping, with significant advantages in identifying novel and non-typeable strains. This scalable platform will be a valuable tool for global serotype surveillance and next-generation multivalent pneumococcal vaccine development.IMPORTANCEAccurate pneumococcal serotyping is critical for vaccine development and epidemiological surveillance, particularly as non-vaccine serotypes emerge following widespread pneumococcal conjugate vaccine implementation. Current serotyping methods face significant limitations in coverage and accuracy, identifying around 76% of pneumococcal isolates and failing to detect emerging serotypes like serotype 13 and null capsule clades. The nanopore Cas9-targeted serotyping platform addresses these critical gaps by achieving 100% serotyping accuracy for confirmed Streptococcus pneumoniae isolates while identifying previously undetectable strains that conventional methods missed. This comprehensive approach is essential for monitoring vaccine effectiveness, understanding serotype replacement patterns, and informing next-generation vaccine development strategies. Furthermore, the identification of misclassified oral streptococci highlights the diagnostic precision needed for accurate pneumococcal surveillance, ensuring that epidemiological data accurately reflect true pneumococcal disease burden and serotype distribution patterns.

Streptococcus pneumoniae↗

PubMed2026

abCRISPR: deep learning-based design of abasic gRNA sequences for specific CRISPR-Cas9 genome editing.

SUMMARY: CRISPR-Cas9 has become a widely used tool for genome editing. However, its off-target cleavage caused by partial sequence matches with guide RNAs (gRNAs) remains a critical limitation. Recently, abasic gRNAs (ØXØ) have been developed to enhance target specificity, but their effects vary depending on the positional sequence context. Here, we present abCRISPR, a deep neural network (DNN) framework for the rational design of ØXØ sequences with minimized off-target activity. abCRISPR leverages informative few-shot training with paired datasets of abasic and unmodified gRNAs, using high-quality random mismatch target libraries, exhaustively sequenced for mismatched off-target substrates (n = 97583) in in vitro CRISPR-Cas9 cleavage experiments. Predicted off-target activities for both abasic and unmodified gRNAs showed strong correlation with experimental data (r ≥ 0.95, 10-fold cross-validation). Notably, these comprehensive training sets provide robust ground-truth negatives, enabling accurate and sensitive prediction of off-targets. For unmodified gRNAs, abCRISPR (AUC = 0.98) was validated to outperform existing deep learning-based methods (AUC = 0.45-0.68). When applied to the human genome, abCRISPR generated ØXØ sequences, covering 58 875 004 potent CRISPR-targetable sites with improved target specificity. Together, this work provides a comprehensive bioinformatics resource for safe and precise CRISPR-Cas9 genome editing. AVAILABILITY AND IMPLEMENTATION: The source code for abCRISPR and training data are available at https://doi.org/10.5281/zenodo.20398246. abCRISPR results for the human genome are available at http://clip.korea.ac.kr/abCRISPR/.

Deep Learning↗

PubMed2025

Design Rules for Expanding PAM Compatibility in CRISPR-Cas9 from the VQR, VRER and EQR variants.

Expanding the range of Protospacer Adjacent Motifs (PAMs) recognized by CRISPR-Cas9 is essential for broadening genome-editing applications. Here, we combine molecular dynamics simulations with graph-theory and centrality analyses to dissect the principles of PAM recognition in three Cas9 variants - VQR, VRER, and EQR - that target non-canonical PAMs. We show that efficient recognition is not dictated solely by direct contacts between PAM-interacting residues and DNA, but also by a distal network that stabilizes the PAM-binding domain and preserves long-range communication with REC3, a hub that relays signals to the HNH nuclease. A key role emerges for the D1135V/E substitution, which enables stable DNA binding by K1107 and preserves key DNA phosphate locking interactions via S1109, securing stable PAM engagement. In contrast, variants carrying only R-to-Q substitutions at PAM-contacting residues, though predicted to enhance adenine recognition, destabilize the PAM-binding cleft, perturb REC3 dynamics, and disrupt allosteric coupling to HNH. Together, these findings establish that PAM recognition requires local stabilization, distal coupling, and entropic tuning, rather than a simple consequence of base-specific contacts. This framework provides guiding principles for engineering Cas9 variants with expanded PAM compatibility and improved editing efficiency.

Journal Article↗

PubMed2026

CRISPR-Cas9-induced genetic mosaicism in three species of the microcrustacean Daphnia.

Genetic mosaicism can arise from in vivo CRISPR-Cas9 gene editing, especially in the embryos. This study evaluates the extent of genetic mosaicism resulted from CRISPR-Cas9-mediated knockout for 11 genes in the freshwater microcrustacean Daphnia magna, Daphnia pulex, and Daphnia sinensis. Based on extensive genotyping data of the asexually produced progenies of successfully edited females, we find strong evidence of mosaicism in 9 of these genes. The genotyping data also suggest that the gene editing activity can take place as early as the one-cell embryo stage and extends into the 32-cell and later stages. This study establishes genetic mosaicism as an important feature of Cas9-mediated gene editing in Daphnia.

Animals↗