FrCas9 is a CRISPR/Cas9 system with high editing efficiency and fidelity

Cui, Zifeng; Tian, Rui; Huang, Zhaoyue; Jin, Zhuang; Li, Lifang; Liu, Jiashuo; Huang, Zheying; Xie, Hongxian; Liu, Dan; Mo, Haiyan; Zhou, Rong; Lang, Bin; Meng, Bo; Weng, Haiyan; Hu, Zheng

doi:10.1038/s41467-022-29089-8

Download PDF

Article
Open access
Published: 17 March 2022

FrCas9 is a CRISPR/Cas9 system with high editing efficiency and fidelity

Zifeng Cui¹^na1,
Rui Tian^2,3^na1,
Zhaoyue Huang¹^na1,
Zhuang Jin¹,
Lifang Li¹,
Jiashuo Liu¹,
Zheying Huang¹,
Hongxian Xie⁴,
Dan Liu⁴,
Haiyan Mo⁴,
Rong Zhou⁴,
Bin Lang⁵,
Bo Meng⁶,
Haiyan Weng⁶ &
…
Zheng Hu ORCID: orcid.org/0000-0001-9306-9442^1,3

Nature Communications volume 13, Article number: 1425 (2022) Cite this article

9128 Accesses
19 Citations
7 Altmetric
Metrics details

Subjects

Abstract

Genome editing technologies hold tremendous potential in biomedical research and drug development. Therefore, it is imperative to discover gene editing tools with superior cutting efficiency, good fidelity, and fewer genomic restrictions. Here, we report a CRISPR/Cas9 from Faecalibaculum rodentium, which is characterized by a simple PAM (5′-NNTA-3′) and a guide RNA length of 21–22 bp. We find that FrCas9 could achieve comparable efficiency and specificity to SpCas9. Interestingly, the PAM of FrCas9 presents a palindromic sequence, which greatly expands its targeting scope. Due to the PAM sequence, FrCas9 possesses double editing-windows for base editor and could directly target the TATA-box in eukaryotic promoters for TATA-box related diseases. Together, our results broaden the understanding of CRISPR/Cas-mediated genome engineering and establish FrCas9 as a safe and efficient platform for wide applications in research, biotechnology and therapeutics.

PAM-flexible genome editing with an engineered chimeric Cas9

Article Open access 04 October 2023

An engineered hypercompact CRISPR-Cas12f system with boosted gene-editing activity

Article 03 July 2023

Two high-fidelity variants: efSaCas9 and SaCas9-HF, which one is better?

Article 31 January 2022

Introduction

Repurposing the prokaryotic immune system CRISPR-Cas for genome engineering has revolutionized the field of biological technology, enabling extensive applications in scientific research, biomedicine and agriculture¹. Among many CRISPR proteins, SpCas9 with the NGG PAM is the most widely-used gene editing tool due to (i) it is the first CRISPR system investigated and reported, and more importantly, (ii) it is considered to possess the highest editing efficiency, which is the key factor of effective gene modifications^2,3. However, accompanied by high cutting efficiency, SpCas9 also generates off-targets, which occur in genomic sites resembling the target sequences⁴. These unwanted side-effects may cause catastrophe effects in the genome and severely hinder the utility of SpCas9 in basic and clinical applications⁴. Several strategies have been developed to reduce the off-target effects. The first is to develop algorithms based on massive off-target data to select the optimal sgRNAs but may restrict the targetable genomic loci^5,6. The second is to engineer SpCas9 protein functional domains to improve its specificity but may reduce the efficiency of the nuclease^7,8,9. The third is to engineer guide RNA, including truncated gRNAs⁸, extended gRNAs¹⁰ and chemically modified gRNAs¹¹.

To identify CRISPR proteins with advantages in both specificity and size, more orthologs were reported, including Type II-A Cas9 (Staphylococcus aureus, SaCas9), Type II-C Cas9 (Neisseria meningitidis, NmeCas9; Campylobacter jejuni, CjCas9; Geobacillus stearothermophilus, GeoCas9; Pasteurella pneumotropica, PpCas9)^12,13,14,15 and Type V Cpf1^16,17,18,19. However, these CRISPR nucleases showed weakened cleavage activity, making them less competitive for highly efficiency-required applications. Therefore, to find CRISPR systems with comparable efficiency as SpCas9, at the same time possessing improved specificity and distinct PAM requirements is in urgent need.

In this study, a Type II-A FrCas9, derived from Faecalibaculum rodentium²⁰, is identified with distinct biochemical characteristics from reported CRISPR systems. We find that FrCas9 can efficiently edit target DNA sequences with a 5′-NNTA-3′ PAM in both prokaryotic and eukaryotic genomes. The palindromic PAM increases the densities of sgRNA distributions in various organisms and has advantage in targeting TATA box within eukaryotic promoters. Further, we show that FrCas9 could achieve comparable efficiency and specificity to SpCas9, providing a powerful platform for biomedical research and drug development.

Results

FrCas9 edits distinct 5′-NNTA-3′ PAM

By bioinformatic screening, we identified the Type II-A system in the genomes of Faecalibaculum rodentium. The phylogenetic analysis showed that FrCas9 is dissimilar to SpCas9 at a distance of 1.80 (Fig. 1a and Supplementary Table 1), indicating it may possess different characteristics. The FrCas9 locus included a CRISPR array composed of 31 spacer-direct repeat units (Supplementary Table 2), locating adjacent to cas1, cas2, csn2 and cas9 genes (Fig. 1b). By searching sequences complementary to the direct repeats²¹, we identified a 71 nt tracrRNA sequence (not included the poly T) upstream the cas9 gene (Fig. 1b and Supplementary Table 3). Next, we predicted 7 catalytic residues in FrCas9 HNH and RuvC domains (Fig. 1b and Supplementary Table 4).

To confirm the prediction of tracrRNA, we validated its expression from small RNA-seq of E. coli that contained simplified FrCas9 locus. The tracrRNA sequences were actively transcribed in an opposite orientation to the cas genes, while the crRNA sequences were transcribed in the same direction as the cas genes (Fig. 1b). Further analysis indicated that the spacers and direct repeats of mature crRNA products mainly distributed in 21-22 nt and 20 nt, respectively (Fig. 1c, d).

Next, we conducted a depletion assay to determine PAM requirement of FrCas9²². A plasmid library containing a 30 bp target site following 6 bp random PAM sequences was constructed and electroporated into E. coli containing FrCas9 plasmid (Fig. 1e and Supplementary Table 5). Only the targets meeting PAM requirements would be depleted from E. coli. The weblogo and PAM wheel showed that FrCas9 may have potential 5′-NRTA-3′ PAM (Fig. 1e and Supplementary Fig. 1, N: A, T, C, G; R: A, G). Repeated depletion assay (n = 4) revealed that the 2^nd PAM position had slight preference for G (mean log2 fold-change = 0.21) or A (mean log2 fold-change = 0.11) (Fig. 1f). Then, we specifically validated the 2^nd PAM preference by the plasmid interference assay²³. Compared to control vectors, four 5′-NNTA-3′ groups all displayed inhibited cell growth under the dual-antibiotic screening (Fig. 1g and h), indicating that there was no 2^nd preference in the PAM of FrCas9. Together, FrCas9 edited DNA sequences with a 5′-NNTA-3′ PAM in prokaryotic cells.

FrCas9 is active in eukaryotic cells

To test the genome editing activity of FrCas9 in mammalian cells, we joined the whole 71 nt tracrRNA and the 42 nt crRNA as a single guide RNA (sgRNA) by GAAA-tetraloop³. Then, above sgRNA and synthesized human codon optimized FrCas9 sequences were cloned into the PX330 plasmid vector.

We developed the puromycin depletion assay to confirm the PAM sequence of FrCas9 in HEK293T cell lines (Fig. 2a and Supplementary Table 5). As a positive control, the 5′-NGG-3′ PAM of SpCa9 validated our workflow (Fig. 2b). FrCas9 had an obvious preference for 3^rd T (Log2 fold-change = 0.17) and 4^th A (Log2 fold-change = 0.23), validating the 5′-NNTA-3′ PAM requirements in prokaryotic cells (Fig. 2c). To further characterize the PAM preference of FrCas9 in living human cells, we conducted high-throughput PAM determination assay (HT-PAMDA)²⁴, which showed that FrCas9 had a canonical 5′-NNTA-3′ PAM with scattered NNTG, NNAN and NNGT non-canonical PAMs (Supplementary Fig. 2b).

**Fig. 2: FrCas9 is active in eukaryotic cells.**

To further confirm the editing rates on 5′-NNTA-3′ PAM sequences in human cells, we first tested the genome editing ability of FrCas9 targeting 12 sites in 3 human endogenous genes (Supplementary Table 5). The 12 sites included all four nucleotides in the 2^nd position of PAMs (NGTA, NATA, NCTA, NTTA). The TIDE assay showed that all sites with cleavage activities to various extents (Fig. 2d). Further, we validated the 5′-NNTA-3′ editing events at additional 32 sites in 8 gene loci, indicating the FrCas9 had efficient cleavage on 5′-NNTA-3′ PAM sequences in human cells (Supplementary Fig. 3). After the double-stranded breaks (DSBs), Cas9s commonly result in the non-homologous end joining (NHEJ) repair events, for instance, incorporating end-protected double-stranded oligonucleotides (dsODNs), which was used in GUIDE-seq⁴. We further detected the incorporation of dsODNs of 4 sgRNAs targeting the RNF2 gene through dsODN-PCR²⁵, and successfully verified the FrCas9 on-target modification (Fig. 2e and Supplementary Fig. 4). Therefore, FrCas9 required a 5′-NNTA-3′ PAM in eukaryotic cells.

The optimal sgRNA designs for FrCas9

Previous studies showed that the sgRNA consisting of full-length crRNA and tracrRNA may not achieve the best editing efficiency^5,26. Therefore, we further investigated the optimal sgRNA architecture of FrCas9 by truncating both the 3′ terminal of crRNA (referred as repeat:antirepeat truncation) and tracrRNA (referred as tracrRNA truncation) (Fig. 2f). The ability of the truncated sgRNAs to generate indels in human RNF2 gene (Supplementary Table 5) was tested and compared with SpCas9⁵. Similar to other Cas9 orthologs^5,15, our data showed that the truncations of 3′ tracrRNA tails decreased the efficiency of FrCas9 dramatically (Fig. 2g). Meanwhile, the truncation of 3′ crRNA affected the cleavage ability modestly when truncated from +18 to +12 (Fig. 2g). The gene editing by FrCas9 at other two endogenous sites (GRIN2B-T3 and GRIN2B-T9) confirmed above conclusions (Supplementary Fig. 5). Notably, in RNF2 site, the editing efficiency of FrCas9 was higher than that of SpCas9 (Fig. 2g, 70.08% vs. 38.36%).

Next, to test the optimal length of FrCas9 guide RNAs, we designed the 19–23 bp guide sequences at three sites (Fig. 2h and Supplementary Table 5). All 5 lengths effectively edited the targets, but the highest genome editing efficiencies were achieved in 21-22 bp (Fig. 2h, DNMT1-T3 21 bp = 21.0%, RNF2-T6 21 bp = 54.39%, HEK293 SITE-T2 22 bp = 34.45%). To compare the editing efficiencies of 21 bp and 22 bp, we involved additional 5 targets and observed that 22 bp showed better editing efficiency than 21 bp at 3 sites (Fig. 2i, GRIN2B-T6, 8.95% vs. 7.3%; DNMT1-T2, 2.9% vs. 1.2%; ANAPC15, 2.1% vs. 1.2%). Therefore, the optimal length of FrCas9 guide RNA was 22 bp, which was in consistent with the small RNA-seq results (Fig. 1d).

The tolerance of mutations in guide sequences was related to the specificity of Cas9 orthologs. Next, we investigated the sgRNA specificity of FrCas9 using 22 sgRNAs, all of which contained a single nucleotide mutation (Supplementary Fig. 6 and Supplementary Table 5). The results showed that mutated sgRNAs had no obvious cleavage, suggesting that FrCas9 has long seed region and possesses high specificity (Supplementary Fig. 6).

FrCas9 genome editing shows high specificity and activity

Since SpCas9 and FrCas9 both have 2-nuleotide PAMs (SpCas9: 5′-NGG-3′, FrCas9: 5′-NNTA-3′), we compared their genome editing efficiency and specificity in sequence with 5′-GGTA-3′. Based on this principle, we selected 11 human endogenous sites with 5′-GGTA-3′ PAM (Supplementary Table 6) and compared the cutting efficiency and off-target effect of SpCas9 and FrCas9 using GUIDE-seq⁴.

First, we detected dsODN integration in all 11 sites by dsODN-breakpoint PCR (Supplementary Fig. 7). The GUIDE-seq experiments confirmed the most frequent locations of dsODN incorporation of FrCas9 and SpCas9 were both the 3^rd or 4^th base upstream of PAM (Fig. 3a, FrCas9 3^rd: n = 5, 4^th: n = 5; SpCas9, 3^rd: n = 3, 4^th: n = 4). Totally, among the 11 sites, only one FrCas9 off-target was detected in GRIN2B-T3 site, while 2-3 SpCas9 off-targets per sgRNA were detected in HEK293 SITE-T2, DYRK1A-T2, GRIN2B-T8, GRIN2B-T9 sites (Fig. 3d). Importantly, we observed a significant higher on:off ratio (defined as on:off target reads) of FrCas9 than SpCas9 at 11 sites (Fig. 3e, P < 0.05, paired Wilcox test). The above results indicated that FrCas9 genome editing showed high specificity and activity. The same trend was also observed in U2OS cell line (Supplementary Fig. 8).

**Fig. 3: The genome-wide specificities of FrCas9 and SpCas9.**

Further, we compared the efficiency and specificity of FrCas9 with SpCas9 and its high-fidelity version (SpCas9-HF1, HiFi-Cas9 and eSpCas9) on DYRK1A-T2 and GRIN2B-T9 sites. In DYRK1A-T2 site, the off-targets of each variant were FrCas9 (0), SpCas9 (15), SpCas9-HF1 (2), HiFi-Cas9 (2) and eSpCas9 (1), respectively. The off-targets in GRIN2B-T9 site were as below: FrCas9 (0), SpCas9 (8), SpCas9-HF1 (6), HiFi-Cas9 (12) and eSpCas9 (7) (Fig. 3f, g). As expected, the FrCas9 exhibited the highest on:off ratio in both sites (Fig. 3h).

FrCas9 can be used to target HPV genomes

We next set out to test the efficiency and specificity of FrCas9 as a potential in targeting HPV genomes²⁷. For HPV 18 genome, we observed a nearly 100% target coverage of FrCas9 with sgRNA distributed per of 5.65 bp in average (Fig. 4a, b), which was greater than SpCas9 (81.17% coverage and 8.32 bp mean distances of sgRNA distribution).

**Fig. 4: FrCas9 is promising in anti-HPV18 treatments.**

To evaluate the efficacy of SpCas9 and FrCas9 in HPV 18, we conducted GUIDE-seq in 19 HPV sites and each site contained overlapping sgRNAs for SpCas9 and FrCas9 (Fig. 4d, e). All 19 sites showed editing activities with both SpCas9 and FrCas9 and the efficiencies were comparable between two Cas9 (Fig. 4f). SpCas9 sgRNAs had average 35.58 off-targets per sgRNA while FrCas9 sgRNAs had average 1.68 off-targets per sgRNA (Fig. 4g). Based on the on/off-target ratios represented by the GUIDE-seq reads, FrCas9 exhibited high efficiency and specificity in HPV 18 gene editing (Fig. 4h, P < 0.0001, two-sided paired Wilcox test).

Further, we selected the sgRNAs targeting HPV URR and E7 to investigate the apoptosis induced by FrCas9 in HPV 18 positive HeLa cell line. Compared to the 13.74% apoptosis rate of the negative controls, FrCas9 with the URR and E7 sgRNAs achieved 26.89% and 36.7% apoptosis rates, respectively (Fig. 4i). Therefore, FrCas9 can be used in targeting HPV 18.

FrCas9 has characteristics for wide applications in genome engineering

Since the 5′-NNTA-3′ PAM of FrCas9 has distinct targets for correcting human pathogenic variants, we repurposed FrCas9 for application of base editing. First, three point-mutations of E796A, H1010A and D1013A were respectively incorporated to generate different FrCas9 nickases (nFrCas9)²⁸ (Supplementary Fig. 9a). Then, we combined E796A nFrCas9 with the optimized fourth-generation cytidine base editor BE4Gam²⁹ and seventh-generation adenine base editor ABE7.10³⁰. We observed that the editing window of FrCas9-BE4Gam was 6^th–10^th bases and that of FrCas9-ABE7.10 was 6^th–8^th bases (Supplementary Fig. 9b, c). Based on the above characteristics, we calculated the targeting scopes of FrCas9-BE4Gam and FrCas9-ABE7.10 in ClinVar databases³¹. For pathogenic mutations that could be precisely corrected by FrCas9-BE4Gam, 90.38% (235/260) events were different from SpCas9-BE4Gam. For pathogenic mutations that could be precisely corrected by FrCas9-ABE7.10, 92.21% (1196/1297) events were different from SpCas9-ABE7.10 (Fig. 5a). Therefore, the TA-rich PAM greatly expanded the targets in human genome for base-editor to correct human disease-associated mutations.

**Fig. 5: The wide applications of FrCas9 due to its 5′-NNTA-3′ PAM.**

Notably, the PAM of FrCas9 (5′-NNTA-3′) is palindromic, which offers pairwise “back-to-back” existence of sgRNAs (Fig. 5b). This feature could broaden the scopes of FrCas9 base-editors by modifying two close editing windows at the same time (Fig. 5b) and increase the target distribution and density of FrCas9 sgRNAs. We calculated the 5′-GG-3′ (represented for SpCas9 PAM) and 5′-TA-3′ (represented for FrCas9 PAM) distributions in human genomes (Fig. 5c, d). Compared to SpCas9 (median = 5 bp, mean = 8.66 bp)⁵, FrCas9 showed more intensive distributions (median = 1 bp, mean = 6.16 bp) in human genomes, providing additional applicable loci.

Interestingly, the TA palindromic PAM also has multiple sites on TATA box (Fig. 5e), which is a crucial promoter element for eukaryotic organisms^32,33. We tested FrCas9 CRISPR interference (CRISPRi) in three TATA-box promoted genes, ABCA1, UCP3 and RANKL (Fig. 5e). By cleaving the TATA-box, FrCas9 reduced ABCA1, UCP3 and RANKL expression by 31.37%, 49.91% and 39.62%, respectively. Meanwhile, the expression of ABCA1, UCP3 and RANKL decreased 61.67%, 45.61% and 42.60% by dFrCas9 directly binding to the TATA-box, respectively (Fig. 5f). Together, FrCas9 possesses potential for efficient genome engineering of TATA-box related genetic diseases.

Further, we tested FrCas9 CRISPR activation (CRISPRa) using dFrCas9-VP64 directly targeting the TATA-box, and compared its performance with dSpCas9-VP64 targeting the upstream of TATA-box. The CRISPRa experiments were conducted in ABCA1, SOD1, GH1 and MBL2 genes. The results showed that dFrCas9-VP64 enables effective transcriptional activation. Moreover, the fold activation of dFrCas9-VP64 in ABCA1, GH1 and MBL2 was higher than that of dSpCas9-VP64, while the fold activation of SOD1 gene was comparable to that of dSpCas9-VP64 (Fig. 5g). Therefore, FrCas9 is a promising tool for CRISPR screening due to its 5′-NNTA-3′ PAM.

Discussion

The editing efficiency and specificity are two important factors for the applications of genome engineering tools. In this study, the FrCas9 from Faecalibaculum rodentium Type II-A CRISPR/Cas systems was fully characterized and validated. FrCas9 hold high efficiency and specificity with simple 2-nuleotide PAM sequences (5′-NNTA-3′). Therefore, FrCas9 will be a powerful and safe platform for biotechnological and clinical research.

Interestingly, the PAM of FrCas9 (5′-NNTA-3′) was palindromic, which resulted in the special advantage that its targets occurred in pairwise with two opposite orientations. This characteristic expands FrCas9 targeting scope in genomes, decreases the distances between average two PAMs, and increases the editing coverage window (Figs. 4a–c and 5b, c), enabling greater potentials in genome therapeutics. For instance, the target coverages of FrCas9 in HPV 16 and HPV 18 achieved 98.92% and 97.63%, respectively, which were wider than SpCas9 (HPV 16 = 70.35%, HPV 18 = 81.17%). For precise modification including base editing and prime editing, the palindromic PAM may provide more targeting flexibility and editing range, both are crucial factors for therapeutic efficacy.

It is worth noting that the 5′-NNTA-3′ PAM has optimal targets in TATA box (core sequence: 5′-TATAAATAAT-3′), which is a conserved promoter element for eukaryotic organisms and is related to various kinds of human hereditary diseases^32,33. On the one hand, this TA-containing PAM could help FrCas9 block the abnormal upregulation of pathogenic genes by decreasing or destroying the TATA box-induced transcription. On the other hand, if mutated TATA box downregulated the expressions of normal functional genes, FrCas9 may repair the TATA box by homologous recombination (HDR) or prime editing to correct the genetic disorders. Future investigations are warranted in this direction.

Taken together, FrCas9 with 5′-NNTA-3′ PAM sequence has high efficiency and specificity. We envision that this CRISPR system will not only benefit the biological and clinical research in this field, but will also provide deeper understanding toward the mechanism of CRISPR-mediated genome engineering.

Methods

Bioinformatical predictions of FrCas9 functions and features

FrCas9 was first detected and deposited in the CasPDB database³⁴ but full characterization of this Type II-A CRISPR/Cas system has not been studied. First, we downloaded the genome of Faecalibaculum rodentium strain NYU-BL-K8 (Accession code: NZ_MPJZ01000004.1). Then, we annotated the genome with standalone CRISPRCasFinder software (version: 2.0.2)³⁵. After locating the cas genes and CRISPR arrays, we built python scripts to search the potential tracrRNA expression regions based on reported protocol²¹. By predicting the secondary structures of crRNA and tracrRNA with NUPACK software³⁶ (http://www.nupack.org), we confirmed the tracrRNA located upstream cas9 gene. For FrCas9 protein, we used the HHpred software (https://toolkit.tuebingen.mpg.de/tools/hhpred)³⁷ to predict the functional domains, and based on the prediction results we extracted FrCas9 PAM Interaction (PI) domain. The phylogenetic trees of Cas9 orthologs and PI domains were constructed using FastTree software (version: 2.1.11)³⁸ with the “-wag -gamma” parameter after alignment by MAFFT software (version: 7.490)³⁹. The PAM sequences of each Cas9 ortholog in phylogenetic trees were made by Weblogo3 (http://weblogo.threeplusone.com/) using matrixs^40,41,42.

Bacterial RNA sequencing and analysis

The E. coli carrying the pET-28A-FrCas9 locus was grown 16 h at 37 °C in LB (Luria Bertani) medium supplemented with 50 µg/ml kanamycin. Total RNA was purified using Direct-Zol RNA kit, followed by DNase I treatment, 3′ dephosphorylated by T4 PNK (M0201L) and ribosomal removal by Ribo-Zero rRNA Removal Kit. Finally, the small RNA Library Prep Set was used for sample preparation. The library was then sequenced using illumina platform with pair-end 150 mode. The RNA sequencing data was then aligned to the reference of pET-28A-FrCas9 plasmid using STAR software⁴³. The stranded bedGraph format was then transformed from alignment results to generate the visualization of tracrRNA and crRNA expression by Sushi R package (version: 3.14)⁴⁴.

Cell culture

HeLa (CCL2, ATCC), U2OS (HTB-96, ATCC) and HEK293T (CRL3216, ATCC) cell lines were purchased from ATCC (American Type Culture Collection, VA, USA). Short tandem repeat (STR) testing was performed to confirm cell identity. These cells were cultured in Dulbecco’s Modified Eagle Medium (C11995500BT, GIBCO) supplemented with 10% fetal bovine serum (10270-106, GIBCO) and incubated at 37 °C and 5% CO₂ in a constant temperature incubator. Cell passaging was performed at a 1:3 split ratio when the cells reached 90% confluence.

DNA extraction

Genomic DNA in this study was extracted with a Kit (EE101-11, TransGen, China).

Plasmid depletion assay and analysis

To generate the plasmid library, single-stranded DNA oligonucleotides containing a protospacer flanked with 6-nucleotide (6 N) randomized PAM sequences were synthesized (Genewiz, China) and extended with Klenow Fragment (3′→5′ exo-) (M0212S, NEB). Then, the plasmid library (n = 4096) was assembled to pACYC184 backbone (AmpR+) by Gibson assembly⁴⁵. After assembly, the plasmid library was transformed into E. coli DH5α followed by the extraction of plasmids. We transfected 200 ng above plasmid library into electrocompetent E. coli which harbored a pET-28A-FrCas9-array locus or a pET-28A control plasmid (Kana+). Then, the transfected E. coli was selected with dual-antibiotics (50 µg/ml kanamycin and 100 µg/ml ampicillin) on LB medium for 30 h at 25 °C. Finally, plasmid DNA was extracted, and the PAM region was PCR amplified and sequenced using illumina platform in pair-end 150 mode. The targets and primers used were listed in Supplementary Tables 5 and 7.

For analysis, we extracted 6 N PAM sequences with in-house scripts and for each PAM sequence we calculated the Post-selection PAM Depletion Value (PPDV), which was the ratio of the post-selection frequency of a PAM in the pET-28A-FrCas9 population divided by the frequency of that PAM in control library⁴⁶. For PAM weblogo visualization, Weblogo3 was used to generate logo based on top 10% depleted PAM sequences ranked by the depletion efficacy (reversely correlated with PPDVs). For PAM wheel construction, the positive depleted PAMs were used to calculate the relative depletion of three nucleotides (2-4 PAM positions) as a previous study reported¹⁴.

Plasmid interference assay

The same protospacer used in plasmid depletion assay flanked by the identified “NRTA (GGTA)” PAM was synthesized (Genewiz, China) and cloned into pUC19 backbone (AmpR+) by Gibson assembly. Then, 10 ng plasmid was transfected into the electrocompetent E. coli which carried the pACYC184-FrCas9-array locus or pACYC184 control plasmid. A series dilution was plated on dual-antibiotics selective medium (25 µg/ml chloramphenicol and 100 µg/ml ampicillin) at 37 °C for 16 h. The growth of colony units was then observed between groups. The targets primers used for Gibson assembly were listed in Supplementary Tables 5 and 7.

Plasmid constructions for eukaryotic validation

The SpCas9 plasmid used in this study was purchased from Addgene (Plasmid #42229). Then, the SpCas9 sequence was amplified and cloned into PX330 vector. The sgRNA sequences were synthesized by GENEWIZ Biotech Co. (Suzhou, China) and cloned into PXZ vector.

Puromycin depletion assay in vivo and analysis

A lentiviral plasmid containing SV40 promoter and expressing puromycin-N-acetyltransferase (PAC) was used to generate the pooled library for puromycin depletion assay. Specifically, the 66 bp sequences (consisting of 30 bp protospacer, 6N randomized PAM sequences and 30 bp homology arms sequences) were inserted after the initial codon (ATG) by Gibson assembly, which caused the in-frame mutation and did not influence the function of PAC puromycin resistant gene⁴⁷. Lentiviral products were obtained by co-transfection of library plasmids with three viral packaging plasmids into HEK293T using the polyethylenimine (PEI) method. HEK293T cells were grown in 10 cm dishes to 80–90% confluency. For each dish, transfection was performed using 30 µl of PEI (Promega), 4.2 μg of pLP1, 2.1 μg of pLP2, 3.1 μg of pVSVG, and 4 μg of library plasmids. After 30 min of incubation at room temperature, the mixture was added to the HEK293T cells. After 72 h of infection, the virus supernatant was harvested and passed through a 0.45 μm filter. Then, the HEK293T cell line was seeded at 400,000 cells in six-well plates and the next day transduced with a mixture of DMEM and virus supernatant at a ratio of 1:1. After 12–16 h of incubation, the cells were selected in the presence of puromycin (1 μg/ml) for 3 days.

The transduced cells were split into three groups according to the transfected plasmids: control (2.5 μg empty PX330 vector), SpCas9 (2.5 μg PX330-SpCas9-sgRNA plasmid), and FrCas9 (2.5 μg PX330-FrCas9-sgRNA plasmid), respectively, each with three replicates. To avoid the correct repair after the PAC gene was edited, we also co-transfected 1.5 μl dsODN (carried with stop codon) by using SF Cell Line 4D-Nucleofector™ X Kit (V4XC-2024, Lonza, Germany) in above experiment groups. After puromycin selection (1.5 μg/ml) for 5 days, cells were collected separately for genomic DNA extraction, followed by PCR amplification of the protospacer-PAM region and deep-sequencing. The targets and primers used were listed in Supplementary Tables 5 and 7. The PPDV calculation method from deep-sequencing data was the same as that of plasmid depletion assay.

HT-PAMDA experiments and data analysis

We purchased the p11-Cas9_random_PAM-site1 plasmid (Addgene #160132) and pCMV-T7-SpCas9-P2A-EGFP plasmid (Addgene #139987). Further, we constructed the pCMV-T7-FrCas9-P2A-EGFP plasmid and synthesized the in vitro transcription templates of SpCas9 and FrCas9 sgRNAs for PAM-site1. Then, we conducted the HT-PAMDA experiments with timepoints including 1 min, 8 min and 32 min. The PAMDA procedures were performed according to the protocol²⁴. We generated high-throughput data with about sequencing depth of ~15,000,000 reads per timepoint, assuring sufficient coverage to resolve up to 5 nt of PAM preference. The data analysis was used the scripts deposited in Github (https://github.com/kleinstiverlab/HT-PAMDA).

TIDE assay and analysis

TIDE analysis was performed using available software (tide.nki.nl). The targets and primers used for PCR reactions were listed in Supplemental Tables 5 and 7.

dsODN breakpoint-PCR

The PCR reaction was conducted with one primer upstream/downstream target sites and the other primer attached to dsODN sequences (Green Taq Mix, P131-01, Vazyme). The targets and primers used were listed in Supplementary Tables 5 and 7.

Targeted amplicon sequencing and Indel frequency analysis

We used illumina Hiseq2500 platform to generate paired-end sequencing data with read length of 150 bp. For data analysis, after quality control of the raw sequencing data by fastp with default parameters⁴⁸, pair-end reads were merged into one read by FLASH software⁴⁹. Then, all merged reads were aligned to the references consisted of product sequences with BWA-MEM⁵⁰. The rewritten python script from CRISPRMatch package⁵¹ was used to extract sequences of the targets ±10 bp flanking regions and calculate the indel (insertion and deletions) rates. Control experiments were conducted without adding nucleases to exclude the indels caused by background mutation or sequence errors. The cutting efficiency of each site was represented by mean indel rate of experiment group subtracting that of control group. The targets and primers used were listed in Supplementary Tables 5 and 7.

Lentiviral library generation of point mutation sgRNAs

To test the specificity of FrCas9, we generated a lentiviral library for sgRNAs containing single-point mutated guide sequences. A plasmid of hU6 promoter expressing puromycin resistant gene was used to construct a sgRNA-target plasmid library by Gibson assembly. Then, the lentiviral transduced HEK293T cells were obtained and maintained by the same approach in puromycin depletion assy.

For comparison, transduced cells were split into two groups according to transfection plasmids: control (2.5 μg empty PX330 vector) and FrCas9 (2.5 μg PX330-FrCas9 plasmid), each with three replicates. Transfection was performed using SF Cell Line 4D-Nucleofector™ X Kit (V4XC-2024, Lonza, Germany). After 72 h, cells were collected separately for genomic DNA extraction, followed by PCR amplification of the sgRNA-target region and deep-sequencing. The targets and primers used were listed in Supplementary Tables 5 and 7.

For analysis, the indel rate of each single-point mutated sgRNA was calculated and corrected by multiplying the sgRNA evenness index derived from amplification sequencing data of sgRNA region in the transduced HEK293T cells:

$${\rm sgRNA}\; {\rm evenness}\; {\rm index}=\frac{{Total\, read}}{{N\,\,x\,\,sgRNA\,\,Reads}}({{{\rm{N}}}}\,\,{{{\rm{represented}}}}\,\,{{{\rm{for}}}}\,\,{{{\rm{sgRNA}}}}\,\,{{{\rm{counts}}}})$$

GUIDE-seq experiments and analysis

The same double-stranded oligodeoxynucleotide (dsODN) was synthesized by Sangon Biotech Co. (Shanghai, China). First, we co-transfected 5 μl dsODN and 10 μg PX330-SpCas9-sgRNA/PX330-FrCas9-sgRNA plasmids into HEK293T cell line using SF Cell Line 4D-Nucleofector™ X Kit (V4XC-2024, Lonza, Germany) or into U2OS cell line using SE Cell Line 4D-Nucleofector™ X Kit (V4XC-1024, Lonza, Germany).

After 72 h, cells were harvested for DNA extraction, followed by dsODN-PCR verification of effective cleavage. Then, GUIDE-seq libraries were constructed as previous study reported⁵². Briefly, the DNA went through shearing, adding Y adapters and two round of PCR, and were finally sequenced using MGISEQ-2000RS sequencer with customized settings for 16 bp UMI. Data was first demultiplexed using in-house python scripts and then analyzed using guideseq v1.1⁵³. The off-targets were identified using the original standards with mismatches ≤ 7⁴. The targets and primers used were listed in the Supplementary Tables 5 and 7.

Apoptosis analysis

HeLa cells were seeded into 12-well plates and transfected with 2.5 μg FrCas9-gRNA plasmid using SE Cell Line 4D-Nucleofector™ X Kit. At 48 h post transfection, cells were collected and stained using an Annexin V-APC/PI Apoptosis detection kit (KGA1030, Key GEN BioTECH, China).

Real-time PCR (qPCR)

The PCR was conducted using the Bio-Rad CFX96 system with PowerUp™ SYBR™ Green Master Mix (A25742, Applied Biosystems, USA). The relative expression change was calculated using the comparative Ct method, which compared the Ct value of the no sgRNA group and the TATA-box targeting sgRNA group. The primers used were listed in Supplementary Table 7.

Statistical analysis

Comparison between groups were using R Programming Language 3.5.2. P < 0.05 was statistically significant (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001).

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

Source data are provided with this paper. The genome of Faecalibaculum rodentium strain NYU-BL-K8 is available in NCBI database under accession code NZ_MPJZ01000004.1. The sequencing data generated in this study has been deposited in the NCBI Sequence Read Archive (SRA) database under the accession code PRJNA766437. Source data are provided with this paper.

Code availability

The FrCas9 identification pipeline was deposited in Github (https://github.com/Freya-Cui-2020/FrCas9).

References

Hsu, P. D., Lander, E. S. & Zhang, F. Development and applications of CRISPR-Cas9 for genome engineering. Cell 157, 1262–1278 (2014).
Article CAS PubMed PubMed Central Google Scholar
Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013).
Article ADS CAS PubMed PubMed Central Google Scholar
Jinek, M. et al. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337, 816–821 (2012).
Article ADS CAS PubMed PubMed Central Google Scholar
Tsai, S. Q. et al. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases. Nat. Biotechnol. 33, 187–197 (2015).
Article CAS PubMed Google Scholar
Hsu, P. D. et al. DNA targeting specificity of RNA-guided Cas9 nucleases. Nat. Biotechnol. 31, 827–832 (2013).
Article CAS PubMed PubMed Central Google Scholar
Doench, J. G. et al. Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. Nat. Biotechnol. 34, 184–191 (2016).
Article CAS PubMed PubMed Central Google Scholar
Kleinstiver, B. P. et al. High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects. Nature 529, 490–495 (2016).
Article ADS CAS PubMed PubMed Central Google Scholar
Fu, Y., Sander, J. D., Reyon, D., Cascio, V. M. & Joung, J. K. Improving CRISPR-Cas nuclease specificity using truncated guide RNAs. Nat. Biotechnol. 32, 279–284 (2014).
Article CAS PubMed PubMed Central Google Scholar
Slaymaker, I. M. et al. Rationally engineered Cas9 nucleases with improved specificity. Science 351, 84–88 (2016).
Article ADS CAS PubMed Google Scholar
Cho, S. W. et al. Analysis of off-target effects of CRISPR/Cas-derived RNA-guided endonucleases and nickases. Genome Res 24, 132–141 (2014).
Article CAS PubMed PubMed Central Google Scholar
Yin, H. et al. Partial DNA-guided Cas9 enables genome editing with reduced off-target activity. Nat. Chem. Biol. 14, 311–316 (2018).
Article CAS PubMed PubMed Central Google Scholar
Hou, Z. et al. Efficient genome engineering in human pluripotent stem cells using Cas9 from Neisseria meningitidis. Proc. Natl Acad. Sci. USA 110, 15644–15649 (2013).
Article ADS CAS PubMed PubMed Central Google Scholar
Kim, E. et al. In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni. Nat. Commun. 8, 14500 (2017).
Article ADS CAS PubMed PubMed Central Google Scholar
Fedorova, I. et al. PpCas9 from Pasteurella pneumotropica - a compact Type II-C Cas9 ortholog active in human cells. Nucleic Acids Res 48, 12297–12309 (2020).
Article CAS PubMed PubMed Central Google Scholar
Harrington, L. B. et al. A thermostable Cas9 with increased lifetime in human plasma. Nat. Commun. 8, 1424 (2017).
Article ADS PubMed PubMed Central Google Scholar
Chen, P. et al. A Cas12a ortholog with stringent PAM recognition followed by low off-target editing rates for genome editing. Genome Biol. 21, 78 (2020).
Article CAS PubMed PubMed Central Google Scholar
Zetsche, B. et al. Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system. Cell 163, 759–771 (2015).
Article CAS PubMed PubMed Central Google Scholar
Teng, F. et al. Enhanced mammalian genome editing by new Cas12a orthologs with optimized crRNA scaffolds. Genome Biol. 20, 15 (2019).
Article PubMed PubMed Central Google Scholar
Zetsche, B., Abudayyeh, O. O., Gootenberg, J. S., Scott, D. A. & Zhang, F. A survey of genome editing activity for 16 Cas12a orthologs. Keio J. Med 69, 59–65 (2020).
Article CAS PubMed Google Scholar
Cox, L. M. et al. Description of two novel members of the family Erysipelotrichaceae: Ileibacterium valens gen. nov., sp. nov. and Dubosiella newyorkensis, gen. nov., sp. nov., from the murine intestine, and emendation to the description of Faecalibaculum rodentium. Int J. Syst. Evol. Microbiol 67, 1247–1254 (2017).
Article CAS PubMed PubMed Central Google Scholar
Briner, A.E., Henriksen, E.D. & Barrangou, R. Prediction and validation of native and engineered Cas9 guide sequences. Cold Spring Harb Protoc, https://doi.org/10.1101/pdb.prot086785 (2016).
Esvelt, K. M. et al. Orthogonal Cas9 proteins for RNA-guided gene regulation and editing. Nat. Methods 10, 1116–1121 (2013).
Article CAS PubMed PubMed Central Google Scholar
Burstein, D. et al. New CRISPR-Cas systems from uncultivated microbes. Nature 542, 237–241 (2017).
Article ADS CAS PubMed Google Scholar
Walton, R. T., Hsu, J. Y., Joung, J. K. & Kleinstiver, B. P. Scalable characterization of the PAM requirements of CRISPR-Cas enzymes using HT-PAMDA. Nat. Protoc. 16, 1511–1547 (2021).
Article CAS PubMed PubMed Central Google Scholar
Niu, G. et al. An effective vaginal gel to deliver CRISPR/Cas9 system encapsulated in poly (beta-amino ester) nanoparticles for vaginal gene therapy. EBioMedicine 58, 102897 (2020).
Article PubMed PubMed Central Google Scholar
Nishimasu, H. et al. Crystal structure of Cas9 in complex with guide RNA and target DNA. Cell 156, 935–949 (2014).
Article CAS PubMed PubMed Central Google Scholar
Hu, Z. et al. TALEN-mediated targeting of HPV oncogenes ameliorates HPV-related cervical malignancy. J. Clin. Invest 125, 425–436 (2015).
Article PubMed Google Scholar
Mali, P. et al. CAS9 transcriptional activators for target specificity screening and paired nickases for cooperative genome engineering. Nat. Biotechnol. 31, 833–838 (2013).
Article CAS PubMed PubMed Central Google Scholar
Komor, A. C. et al. Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T:A base editors with higher efficiency and product purity. Sci. Adv. 3, eaao4774 (2017).
Article PubMed PubMed Central Google Scholar
Gaudelli, N. M. et al. Programmable base editing of A*T to G*C in genomic DNA without DNA cleavage. Nature 551, 464–471 (2017).
Article ADS CAS PubMed PubMed Central Google Scholar
Landrum, M. J. et al. ClinVar: public archive of interpretations of clinically relevant variants. Nucleic Acids Res 44, D862–D868 (2016).
Article CAS PubMed Google Scholar
Drachkova, I. et al. The mechanism by which TATA-box polymorphisms associated with human hereditary diseases influence interactions with the TATA-binding protein. Hum. Mutat. 35, 601–608 (2014).
Article CAS PubMed Google Scholar
Savinkova, L. K. et al. TATA box polymorphisms in human gene promoters and associated hereditary pathologies. Biochem. (Mosc.) 74, 117–129 (2009).
Article CAS Google Scholar
Tang, Z. et al. CasPDB: an integrated and annotated database for Cas proteins from bacteria and archaea. Database https://doi.org/10.1093/database/baz093 (2019).
Couvin, D. et al. CRISPRCasFinder, an update of CRISRFinder, includes a portable version, enhanced performance and integrates search for Cas proteins. Nucleic Acids Res 46, W246–W251 (2018).
Article CAS PubMed PubMed Central Google Scholar
Zadeh, J. N. et al. NUPACK: Analysis and design of nucleic acid systems. J. Comput Chem. 32, 170–173 (2011).
Article CAS PubMed Google Scholar
Soding, J., Biegert, A. & Lupas, A. N. The HHpred interactive server for protein homology detection and structure prediction. Nucleic Acids Res 33, W244–W248 (2005).
Article PubMed PubMed Central Google Scholar
Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol. Biol. Evol. 26, 1641–1650 (2009).
Article CAS PubMed PubMed Central Google Scholar
Katoh, K., Misawa, K., Kuma, K. & Miyata, T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res 30, 3059–3066 (2002).
Article CAS PubMed PubMed Central Google Scholar
Gasiunas, G. et al. A catalogue of biochemically diverse CRISPR-Cas9 orthologs. Nat. Commun. 11, 5512 (2020).
Article ADS CAS PubMed PubMed Central Google Scholar
Magadan, A. H., Dupuis, M. E., Villion, M. & Moineau, S. Cleavage of phage DNA by the Streptococcus thermophilus CRISPR3-Cas system. PLoS ONE 7, e40913 (2012).
Article ADS CAS PubMed PubMed Central Google Scholar
Chatterjee, P., Jakimo, N. & Jacobson, J. M. Minimal PAM specificity of a highly similar SpCas9 ortholog. Sci. Adv. 4, eaau0766 (2018).
Article ADS CAS PubMed PubMed Central Google Scholar
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013).
Article CAS PubMed Google Scholar
Phanstiel, D. H., Boyle, A. P., Araya, C. L. & Snyder, M. P. Sushi.R: flexible, quantitative and integrative genomic visualizations for publication-quality multi-panel figures. Bioinformatics 30, 2808–2810 (2014).
Article CAS PubMed PubMed Central Google Scholar
Gibson, D. G. et al. Enzymatic assembly of DNA molecules up to several hundred kilobases. Nat. Methods 6, 343–345 (2009).
Article CAS PubMed Google Scholar
Kleinstiver, B. P. et al. Engineered CRISPR-Cas9 nucleases with altered PAM specificities. Nature 523, 481–485 (2015).
Article ADS PubMed PubMed Central Google Scholar
Smargon, A. A. et al. Cas13b is a type VI-B CRISPR-associated RNA-guided RNase differentially regulated by accessory proteins Csx27 and Csx28. Mol. Cell 65, 618–630 e617 (2017).
Article CAS PubMed PubMed Central Google Scholar
Chen, S., Zhou, Y., Chen, Y. & Gu, J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, i884–i890 (2018).
Article PubMed PubMed Central Google Scholar
Magoc, T. & Salzberg, S. L. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27, 2957–2963 (2011).
Article CAS PubMed PubMed Central Google Scholar
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
Article CAS PubMed PubMed Central Google Scholar
You, Q. et al. CRISPRMatch: an automatic calculation and visualization tool for high-throughput CRISPR genome-editing data analysis. Int J. Biol. Sci. 14, 858–862 (2018).
Article CAS PubMed PubMed Central Google Scholar
Chen, Y. et al. In vitro and in vivo growth inhibition of human cervical cancer cells via human papillomavirus E6/E7 mRNAs’ cleavage by CRISPR/Cas13a system. Antivir. Res 178, 104794 (2020).
Article CAS PubMed Google Scholar
Tsai, S. Q., Topkar, V. V., Joung, J. K. & Aryee, M. J. Open-source guideseq software for analysis of GUIDE-seq data. Nat. Biotechnol. 34, 483 (2016).
Article PubMed Google Scholar

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (grant no. 32171465, Z.Hu. and 82102392, R.T.); The National Science and Technology Major Project of the Ministry of science and technology of China (grant no. 2018ZX10301402, Z.Hu.); General Program of Natural Science Foundation of Guangdong Province of China (grant no. 2021A1515012438, Z.Hu.); the National Postdoctoral Program for Innovative Talent (grant no. BX20200398, R.T.); the China Postdoctoral Science Foundation (grant no. 2020M672995, R.T.); Guangdong Basic and Applied Basic Research Foundation (grant no. 2020A1515110170, R.T.); Characteristic Innovation Research Project of University Teachers (grant no. 2020SWYY07, R.T.); the National Ten Thousand Plan-Young Top Talents of China (Z.Hu.).

Author information

These authors contributed equally: Zifeng Cui, Rui Tian, Zhaoyue Huang.

Authors and Affiliations

Department of Gynecological oncology, the First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Yuexiu, Guangzhou, 510080, Guangdong, China
Zifeng Cui, Zhaoyue Huang, Zhuang Jin, Lifang Li, Jiashuo Liu, Zheying Huang & Zheng Hu
Center for Translational Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
Rui Tian
Sun Yat-sen University Nanchang Research Institution, Nanchang, 330200, Jiangxi, China
Rui Tian & Zheng Hu
Generulor Company Bio-X Lab, Zhuhai, 519000, Guangdong, China
Hongxian Xie, Dan Liu, Haiyan Mo & Rong Zhou
School of Health Sciences and Sports, Macao Polytechnic Institute, Macao, 999078, China
Bin Lang
Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
Bo Meng & Haiyan Weng

Authors

Zifeng Cui
View author publications
You can also search for this author in PubMed Google Scholar
Rui Tian
View author publications
You can also search for this author in PubMed Google Scholar
Zhaoyue Huang
View author publications
You can also search for this author in PubMed Google Scholar
Zhuang Jin
View author publications
You can also search for this author in PubMed Google Scholar
Lifang Li
View author publications
You can also search for this author in PubMed Google Scholar
Jiashuo Liu
View author publications
You can also search for this author in PubMed Google Scholar
Zheying Huang
View author publications
You can also search for this author in PubMed Google Scholar
Hongxian Xie
View author publications
You can also search for this author in PubMed Google Scholar
Dan Liu
View author publications
You can also search for this author in PubMed Google Scholar
Haiyan Mo
View author publications
You can also search for this author in PubMed Google Scholar
Rong Zhou
View author publications
You can also search for this author in PubMed Google Scholar
Bin Lang
View author publications
You can also search for this author in PubMed Google Scholar
Bo Meng
View author publications
You can also search for this author in PubMed Google Scholar
Haiyan Weng
View author publications
You can also search for this author in PubMed Google Scholar
Zheng Hu
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

Z.Hu., Z.C., R.T., Z.Huang., Z.J. and H.X. identified CRISPR loci using bioinformatic pipeline. H.X., D.L., R.Z. and H.M. performed the experiments. Z. Hu., Z.C. and H.X. drafted the manuscript. L.L., J.L., Zhe.H., B.L., B.M. and H.W. revised the manuscript.

Corresponding authors

Correspondence to Haiyan Weng or Zheng Hu.

Ethics declarations

Competing interests

A related patent application on the pipeline of identifying potential CRISPRs has been filed (patent applicant: Sun Yat-sen University; the First Affiliated Hospital of Sun Yat-sen University, inventors: Z.Hu., Z.C., R.T., Z.J., Z.Huang. and M.L., application number: 202110589533.8). The remaining authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks Pranam Chatterjee and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Reporting Summary

Peer Review File

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Cui, Z., Tian, R., Huang, Z. et al. FrCas9 is a CRISPR/Cas9 system with high editing efficiency and fidelity. Nat Commun 13, 1425 (2022). https://doi.org/10.1038/s41467-022-29089-8

Download citation

Received: 29 July 2021
Accepted: 28 February 2022
Published: 17 March 2022
DOI: https://doi.org/10.1038/s41467-022-29089-8

This article is cited by

Developing a CRISPR/FrCas9 system for core promoter editing in rice
- Hui Wang
- Jian Ding
- Juan Li
aBIOTECH (2024)
Recent advances in therapeutic CRISPR-Cas9 genome editing: mechanisms and applications
- Lifang Zhou
- Shaohua Yao
Molecular Biomedicine (2023)
Versatile and efficient genome editing with Neisseria cinerea Cas9
- Zhiquan Liu
- Siyu Chen
- Zhanjun Li
Communications Biology (2022)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.