Systematically attenuating DNA targeting enables CRISPR-driven editing in bacteria

Collias, Daphne; Vialetto, Elena; Yu, Jiaqi; Co, Khoa; Almási, Éva d. H.; Rüttiger, Ann-Sophie; Achmedov, Tatjana; Strowig, Till; Beisel, Chase L.

doi:10.1038/s41467-023-36283-9

Download PDF

Article
Open access
Published: 08 February 2023

Systematically attenuating DNA targeting enables CRISPR-driven editing in bacteria

Nature Communications volume 14, Article number: 680 (2023) Cite this article

6519 Accesses
7 Citations
62 Altmetric
Metrics details

Subjects

Abstract

Bacterial genome editing commonly relies on chromosomal cleavage with Cas nucleases to counter-select against unedited cells. However, editing normally requires efficient recombination and high transformation efficiencies, which are unavailable in most strains. Here, we show that systematically attenuating DNA targeting activity enables RecA-mediated repair in different bacteria, allowing chromosomal cleavage to drive genome editing. Attenuation can be achieved by altering the format or expression strength of guide (g)RNAs; using nucleases with reduced cleavage activity; or engineering attenuated gRNAs (atgRNAs) with disruptive hairpins, perturbed nuclease-binding scaffolds, non-canonical PAMs, or guide mismatches. These modifications greatly increase cell counts and even improve the efficiency of different types of edits for Cas9 and Cas12a in Escherichia coli and Klebsiella oxytoca. We further apply atgRNAs to restore ampicillin sensitivity in Klebsiella pneumoniae, establishing a resistance marker for genetic studies. Attenuating DNA targeting thus offers a counterintuitive means to achieve CRISPR-driven editing across bacteria.

A compact Cascade–Cas3 system for targeted genome engineering

Article 19 October 2020

A versatile genetic engineering toolkit for E. coli based on CRISPR-prime editing

Article Open access 01 September 2021

BacPE: a versatile prime-editing platform in bacteria by inhibiting DNA exonucleases

Article Open access 27 January 2024

Introduction

The study and engineering of bacteria have been vastly improved with CRISPR technologies and the ongoing advances in CRISPR-based editing^1,2. Traditionally, bacteriophage-derived DNA recombinases are combined with RNA-guided Cas nucleases to achieve efficient editing ranging from base changes to large deletions and insertions^3,4. The recombinases drive the homologous recombination of a DNA repair template (RT), while the Cas nucleases counterselect against unedited cells through the generation of cytotoxic double-stranded DNA breaks to the unedited bacterial chromosome³. The flexibility of this approach allows for both small and large edits and thus remains the method of choice for editing in bacteria despite a growing set of other options^5,6,7,8,9. However, CRISPR-based counterselection typically requires high transformation efficiencies and the availability of compatible phage-based recombinases unavailable in most bacteria. Even with improvements that delay counterselection with inducible DNA targeting^10,11,12,13 or limit bacterial escape with RecA inhibitors¹⁴, CRISPR-based counterselection still remains largely off-limits outside of model bacteria and, even in model bacteria, incredibly difficult for challenging edits such as larger insertions, multiplexed editing, and libraries.

Prior work reported an intriguing exception to CRISPR-based counterselection: chromosomal cleavage by Cas9 in Escherichia coli can be actively repaired through homologous recombination¹⁵. Recombination was hypothesized to come from weaker targeting at certain sites, which left uncleaved copies of the chromosome that could mediate homologous recombination and maintain cell viability. Recombination was dependent on RecA and, in one instance, drove integration of a plasmid-encoded RT in the absence of a heterologous recombinase. Under this setup, driving homologous recombination of a supplied RT would achieve flexible editing while circumventing the need for heterologous recombinases or high transformation efficiencies due to enhanced cell survival. However, survival was seemingly random and site-dependent, creating uncertainties about whether CRISPR-driven homologous recombination could be broadly achieved in bacteria.

Here, we show that CRISPR-driven homologous recombination can be systematically achieved by attenuating DNA targeting activity, in different cases boosting the number of transformants as well as the editing efficiency. The most tunable approach, which involved what we call attenuated gRNAs (atgRNAs) named based on modifications designed to interfere with gRNA function, could achieve flexible editing with Cas9 and Cas12a nucleases in different bacteria and mediate small base exchanges and large insertions. The approach obviated the need for a heterologous recombinase and greatly increased the number of recovered colonies without sacrificing editing efficiency, the two major drawbacks of traditional recombination-based editing in bacteria. The use of atgRNAs thus represents a paradigm for CRISPR-based editing in bacteria that achieves improved editing outcomes by scaling back targeting activity.

Results

Altering gRNA format and expression can boost cell counts and genome editing

We were initially intrigued why targeting some locations in the E. coli genome with the Streptococcus pyogenes Cas9 led to RecA-dependent homologous recombination rather than cell death¹⁵. One observation from this work was that the tested gRNAs were all encoded as CRISPR arrays, with each array expressed from its native promoter from S. pyogenes. The transcribed arrays are processed into CRISPR RNAs (crRNAs) through the action of a separate trans-activating crRNA (tracrRNA)¹⁶. In contrast to the CRISPR arrays, single-guide RNAs (sgRNAs), which circumvent the need for a separate tracrRNA, are commonly used for Cas9-based editing in bacteria¹⁷. Each sgRNA is also normally expressed from a heterologous promoter^11,14,18,19. We refer to the processed crRNA:tracrRNA duplex and the sgRNA as gRNAs. We thus asked if this difference in gRNA format or expression accounts for RecA-mediated cell survival, helping us work toward CRISPR-driven editing in bacteria.

Using a standard plasmid transformation assay in E. coli in which a gRNA plasmid is transformed into cells already harboring a Cas9 plasmid (Fig. 1a), we targeted genomic sites that previously yielded different extents of cell survival in the presence of recA¹⁵. Under this setup, cell counts of the WT and ΔrecA strains are expected to depend on targeting activity. Namely, strong targeting activity would outpace RecA-mediated repair, yielding low cell counts with or without recA. In contrast, weak targeting activity would allow RecA-mediated repair, resulting in higher cell counts in the WT strain compared to the ΔrecA strain. Finally, limited targeting activity would require little to no repair, resulting in high cell counts in both the WT and ΔrecA strains. Similar to the prior work¹⁵, applying the transformation assay using minimal CRISPR arrays containing a spacer flanked by full-length repeats (RSR) and driven by the native promoter (Pn RSR) yielded varying extents of survival in the presence of recA (0 - ~10⁵ transformants) and consistently low survival in the absence of recA (~10³ transformants) compared to a non-targeting (NT) control (~10⁵ transformants) (Fig. 1b). In contrast, sgRNAs driven by a constitutive synthetic promoter (Ps sgRNA) consistently yielded virtually no cell counts in the presence or absence of recA for the same genomic target sites (Fig. 1b and Supplementary Fig. 1a). Target locations alone therefore cannot explain RecA-mediated cell survival and instead point to factors related to gRNA format and expression.

**Fig. 1: The outcome of chromosomal targeting in *E. coli* depends on gRNA format and abundance.**

To tease apart gRNA format and expression, we replaced the native promoter in front of the minimal CRISPR array with a constitutive synthetic promoter (Ps RSR) (Fig. 1b). We also expressed a semi-processed crRNA containing a 20-bp spacer followed by a full-length repeat (SR) with either promoter (Ps SR, Pn SR) to interrogate any contributions from processing. Combining the synthetic promoter with the native array (Ps RSR) or the native promoter with the semi-processed crRNA (Pn SR) generally yielded elevated colony counts in the WT strain (9/11 targets with ~10⁵ transformants), while combining the synthetic promoter with the semi-processed crRNA (Ps SR) yielded low colony counts (5/5 targets with 0 - ~10³ transformants). Colony counts were consistently low in the absence of recA (15/17 targets with ~10³ transformants), underscoring the importance of RecA-mediated homologous recombination. These data suggest that changing the format and expression of the gRNA can alter the outcome of survival.

The operating hypothesis is that weaker targeting allows cells to survive through RecA-mediated recombination with replicated copies of the genome¹⁵. Following this hypothesis and the observed impact of colony counts on gRNA format, we would expect weaker targeting to derive from lower gRNA abundance that could direct fewer Cas9 molecules to cut target DNA, allowing RecA-mediated repair to outcompete extensive DNA cutting. In line with our expectation, northern blotting analysis on the complete set of gRNAs targeting lacZ1 revealed that lower final gRNA abundances were tied to improved survival in the presence of recA (Fig. 1c and Supplementary Fig. 1b). The crRNA sizes also varied, possibly due to incomplete crRNA processing in E. coli as well as differences in transcriptional start sites between promoters; the size variations could be contributing to the extent of DNA targeting. Similar trends in gRNA size and abundance were observed targeting two other locations in lacZ (Supplementary Fig. 1b, c). To explicitly evaluate the impact of expression strength, we replaced the strong constitutive promoter in front of the lacZ1- and lolD-targeting sgRNAs with two weaker versions: a medium promoter (J23116) and a weak promoter (J23109)²⁰. The weak promoter yielded similarly high colony counts (~10⁵ − 10⁶ transformants) for WT and ΔrecA cells for both sites, indicative of cell survival. In contrast, the medium promoter yielded low colony counts (0 - ~10² transformants) in WT and ΔrecA strains similar to the strong promoter, indicative of cell death (Supplementary Fig. 1d). In total, these results provide direct evidence that reduced gRNA abundance can lead to cell survival through RecA-mediated recombination in the absence of a provided RT.

If the cells survive genome targeting by Cas9 via RecA-mediated recombination, then the presence of a RT whose edit prevents targeting should lead to genome editing without sacrificing colony counts. We therefore introduced a plasmid-encoded RT to mutate part of the lacZ1 target into a restriction site, and we assessed colony counts and the editing efficiency (Fig. 1d and Supplementary Fig. 1e). All gRNA formats yielded variable colony counts (~10⁴ − 10⁶ transformants) that paralleled those in the absence of the RT, with Ps sgRNA and Ps SR yielding the fewest colonies (~10⁴ transformants) and the other formats (Pn RSR, Ps RSR, Pn SR) yielding the most colonies (~10⁵ − 10⁶ transformants). Intriguingly, Pn RSR yielded the highest editing efficiency (~97%) even above that by the sgRNA driven by a constitutive synthetic promoter (Ps sgRNA) (70%), while the other formats yielded more variable yet measurable editing (~20−60%) (Fig. 1d). In total, changing gRNA format and expression can achieve CRISPR-driven editing that boosts colony counts, obviates the need for an exogenous recombinase, and can preserve the efficiency of precise editing.

Systematically attenuating genome targeting with Cas9 can increase colony counts and editing efficiencies

The impact of gRNA format and expression suggested that purposefully attenuating DNA targeting activity could not only increase colony counts but also even improve the editing efficiency. If the goal is to attenuate targeting, we can envision multiple means that weaken or delay any step spanning gRNA and Cas9 production to DNA cleavage (Fig. 2a), including altering the expression or stability of the gRNA or Cas nuclease, slowing nuclease:gRNA complex formation, and reducing DNA target recognition or cleavage. Furthermore, we reasoned that any approach could be implemented individually or together to fine-tune the activity reduction. We therefore tested various attenuation approaches beyond modifying gRNA format to determine if any of these approaches could predictably boost cell counts and editing.

**Fig. 2: Modulating DNA targeting activity, including through attenuated gRNAs, can boost colony counts without sacrificing editing efficiencies.**

We first tested the impact of modulating gRNA expression using a tetracycline-inducible promoter (Fig. 2b). This approach offered excellent flexibility, as different concentrations of the inducer anhydrotetracycline (aTc) could be readily added to tune targeting activity. We further encoded an sgRNA, as encoding either a crRNA or tracrRNA could cause the other RNA to become limiting. Accordingly, titrating the aTc concentration in cultures transformed with the sgRNA, Cas9, and RT plasmids resulted in colony count reductions varying between ~6-fold (0 ng/ml aTc) and ~10⁵-fold (200 ng/ml aTc) compared to the NT control. When introducing mutations into the lacZ1 target to create a restriction site, consistent editing was observed even with lower aTc concentrations without sacrificing colony counts. However, the extent of editing never exceeded an average of 20% even for the highest applied aTc concentration.

Next, we tested the impact of reducing DNA targeting activity with high-fidelity Cas9 nucleases (Fig. 2c). These nucleases were evolved to more readily reject mismatches and therefore reduce off-target DNA cleavage^21,22,23. However, they also tended to exhibit lower cleavage efficiencies at otherwise perfect targets, which we hypothesized could promote RecA-mediated survival upon genome targeting even with an sgRNA conferring robust DNA targeting. We therefore tested three established high-fidelity versions of Cas9 (SpyCas9_HeF, SpyCas9_HF1, eSpyCas9(1.1)) along with the sgRNA driven by a constitutive synthetic promoter (Ps sgRNA) that resulted in extensive cell killing (Fig. 2c). We found that SpyCas9_HeF, which contains the combined mutations of both eSpCas9(1.1) and SpyCas9_HF1^22,24, exhibited much higher colony counts than the parental Cas9 (SpyCas9) and the other two variants (~10³-fold), while all variants exhibited similar average editing efficiencies (~50–60%) compared to the parental Cas9 (~43%)^25,26. In the case of SpyCas9_HeF, the colonies had a mixed genotype as determined from the restriction enzyme digests that had only faint digestion bands, suggesting that cells were still undergoing repair. Less-active nucleases, such as some high-fidelity nucleases, therefore offer a distinct means of achieving CRISPR-driven editing, although some nucleases outperform others.

As a final approach, we reasoned that modifying the gRNA itself to reduce Cas9 binding, target recognition, or target cleavage could be applied to achieve CRISPR-driven editing. Fortunately, numerous modifications are known that can have a minor to massive impact on DNA targeting, including introducing single mismatches (SM) or multiple mismatches (MM) into the guide sequence at different locations^{26,27,28,29,30}, extending the PAM-distal end of the gRNA to include an unstructured extension (UE) or a hairpin that does (IHP) or does not (EHP) extend into the guide sequence^31,32, targeting genomic sequences adjacent to non-canonical PAMs (NC)^{3,33,34,35,36}, and mutating the fixed region of the gRNA bound by Cas9 to affect RNA folding or Cas9 recognition³⁷ (Fig. 2d and Supplementary Fig. 1g). The proceeding number specifies the order in which the mutation was tested (e.g., MM3 for the third tested multiple-mismatch modification).

Using the lacZ3-targeting sgRNA as the starting point, the modifications gave varying degrees of colony counts in the presence or absence of recA (0 - ~10⁷ transformants). For most of the modifications though, at least one variant yielded elevated colony counts in the presence versus absence of recA (e.g., ~10²-fold increase for MM4), indicating attenuated targeting activity. Combining a subset of these attenuated gRNAs (atgRNAs) with the RT to introduce a restriction site in lacZ led to similar or even higher editing efficiencies compared to the original sgRNA but with modestly to greatly increased colony counts (Fig. 2e). For instance, one approach in which three target mismatches were introduced into the sgRNA guide (atgRNA1) yielded colony counts indistinguishable from a non-targeting sgRNA along with ~97% editing. Separately, atgRNA1 and atgRNA6 guiding the high fidelity eSpCas9(1.1) increased colony counts by ~10³-fold and yielded editing efficiencies of 100% and 50%, respectively (Supplementary Fig. 1f). The colonies screened for atgRNA4 and atgRNA6 resulted in only faint digestion patterns (Supplementary Fig. 1f), indicating that colonies exhibit a mixed genotype and may still be undergoing editing. In many of these cases, introducing the RT into the gRNA plasmid affected the number of transformants, although the ratio of colonies between non-targeting and targeting conditions were similar with or without the RT. In total, sufficiently attenuating DNA targeting by Cas9 through different means, either individually or in combination, can increase colony counts while preserving the editing efficiency via RecA-mediated homologous recombination.

CRISPR-driven editing with atgRNAs is generalizable beyond Cas9

While Cas9 is arguably the most widely used nuclease for genome editing in bacteria, a growing suite of DNA-targeting Cas nucleases are becoming available³⁸ whose targeting activity could be attenuated to enhance genome editing in bacteria. One increasingly popular DNA-targeting nuclease is Cas12a³⁹. Apart from being structurally and functionally distinct from Cas9, Cas12a can process a transcribed CRISPR array without any accessory factors³⁹ and recognizes T-rich PAMs³⁹ distinct from those recognized by Cas9⁴⁰. Cas12a was also employed in one bacterial application when Cas9 proved cytotoxic⁴¹. We therefore asked if atgRNAs specific to Cas12a could be generated to achieve CRISPR-driven editing in bacteria.

We focused on the widely-used Cas12a from Acidaminococcus species (AsCas12a)³⁹ given its widespread use for CRISPR technologies. After confirming that designed gRNAs consistently lead to low cell counts (~10²−10³ transformants) when targeting the E. coli genome in the absence of recA (Supplementary Fig. 2a), we generated variants of a lacZ-targeting gRNA in line with the Cas9 atgRNAs. Specifically, we appended an external hairpin on the PAM-distal end of the guide (EHP), introduced a mutation in the Cas12a repeat shown to partially inhibit DNA targeting⁴² (mutR), mutated the leader region upstream of the Cas12a repeat to introduce a hairpin that can also inhibit DNA targeting⁴³ (IRH), targeted sites with non-canonical PAMs (NC)⁴⁰, and introduced a single target mismatch (SM) or multiple target mismatches (MM)²⁷ in the guide sequence (Fig. 3a and Supplementary Fig. 2b, c). As with Cas9, at least one variant for most of the tested modifications yielded elevated colony counts in the presence versus absence of recA (~10⁴-fold for MM5). Using two of these variants (MM5, mutR6) (Fig. 3b), we assessed genome editing by introducing either a silent mutation that generates a restriction site or a two-nucleotide deletion at the lacZ target site (Fig. 3c and Supplementary Fig. 2d, e). In both cases, the atgRNAs yielded ~1000-fold greater colony counts compared to the original gRNAs. Critically, the editing efficiencies were also much higher for the atgRNAs (95–100%) versus the original gRNAs (10–30%). High colony counts and editing was lost in the absence of recA (Fig. 3d), confirming the importance of RecA-mediated homologous recombination with atgRNAs. Therefore, CRISPR-driven editing in bacteria can be achieved with atgRNAs that extend beyond Cas9.

**Fig. 3: CRISPR-driven editing with attenuated gRNAs extends to Cas12a.**

Given the superior performance of Cas12a atgRNAs over gRNAs when generating small edits, we asked how they perform when generating larger edits. We attempted two different types of large edits: the deletion of lacZ (~3.1 kb) and the replacement of lacZ with a 717-bp fragment encoding gfp (Fig. 3e and Supplementary Fig. 2f). As these types of edits are typically more difficult to create, we varied the length of the homology arms of the RT to help improve the efficiency of homologous recombination^44,45,46. While the atgRNAs did not fully recover colony counts for these large edits, they still yielded higher colony counts than the original gRNA (e.g., 13-fold for atgRNA7 and 20-fold for atgRNA8 for gfp replacement with 750-bp homology arms). The atgRNAs also yielded higher editing efficiencies than the original gRNA (e.g., ~10% vs. ~40% for gene deletion with 500-bp homology arms), with longer homology arms consistently increasing the editing efficiency (e.g., ~10% with 250-bp homology arms vs. ~70% with 750-bp homology arms for gene deletion with atgRNA8). Therefore, when testing more challenging edits, atgRNAs can outperform the original gRNA in both colony counts and editing efficiencies.

atgRNAs can improve editing performance in Klebsiella species

Building on the demonstrations of CRISPR-driven editing in E. coli, we asked how well this approach could extend to bacteria with less developed tools. As a first demonstration, we focused on Klebsiella oxytoca, a commensal bacterial species recently shown to reduce the intestinal colonization of multidrug-resistant (MDR) Klebsiella pneumoniae in various mouse models⁴⁷. While Cas9-based editing with the λ-red recombination system had been implemented in one strain of this species⁴⁸, this approach required extensive sgRNA screening and generally resulted in few transformants. Applying atgRNAs therefore offered an opportunity to expand the editing tools in this clinically relevant species while also setting the stage to further interrogate the mechanistic basis of colonization resistance.

For the test case within the K. oxytoca strain MK01, we sought to delete a 2.7-kb fragment of the cydAB operon previously shown to be important for growth under microaerophilic conditions in E. coli.⁴⁹. We began with the Cas9 editing system previously established in this species⁴⁸ (Fig. 4a) to provide a direct basis of comparison and because the absence of λ-red did not yield any detectable edits with a linear or plasmid RT (Supplementary Fig. 3b, c). The necessity of λ-red deviated from what we observed in E. coli, although this may be attributed to the different strain, the use of a linear repair template, or the larger deletion at this particular genomic site.

**Fig. 4: An attenuated gRNA enhances editing in *Klebsiella oxytoca*.**

While the four tested sgRNAs yielded different extents of colony counts, one sgRNA (sp47) yielded the lowest colony counts (~1 transformant) and no detectable edits (Fig. 4b). When considering which sgRNA modifications to introduce, we opted to introduce the hairpin EHP2 to the PAM-distal end of each sgRNA because it can be introduced independently of the target sequence (Fig. 4b and Supplementary Fig. 3d). For the sp47 sgRNA, the resulting atgRNA boosted colony counts to be consistently above the limit of detection (~10² transformants) and yielded an editing frequency of ~83% (Fig. 4b). For the other sgRNAs, addition of the external hairpin maintained colony counts and high editing frequencies (sp53) or greatly boosted the colony counts but at the expense of editing (sp51, sp55). In these cases, DNA targeting was likely too weak to drive editing, at least within the timeframe of the experiment. sp55 was particularly intriguing given the higher colony counts (~10⁴ transformants) and editing frequencies (~60%) without any modification (Fig. 4b), suggesting that the sgRNA already exhibited attenuated targeting possibly through sgRNA misfolding or poor target recognition. Overall, expedient testing of one atgRNA modification enhanced editing, although more extensive screening of atgRNA modifications could further enhance editing across target sites.

Beyond K. oxytoca, we turned to a second demonstration of CRISPR-driven editing outside of E. coli: eliminating an antibiotic resistance marker in Klebsiella pneumoniae to facilitate new genetic tools. K. pneumoniae is commonly associated with antibiotic resistance, complicating treatment of infections. In addition, resistance greatly restricts which antibiotics can be applied to select for plasmids, limiting genetic studies and efforts to combat future infections. We utilized Cas12a to explore CRISPR-driven editing outside of E. coli utilizing a nuclease besides Cas9.

We sought to reverse resistance to ampicillin by disrupting bla_SHV-1, an intrinsic β-lactamase gene common to K. pneumoniae strains⁵⁰. We focused on the commonly studied strain ATCC 10031 that is sensitive to chloramphenicol but not ampicillin (Fig. 5a). A Cas12a gRNA targeting bla_SHV-1 yielded virtually no colonies in the presence or absence of recA, offering a starting point to generate atgRNAs (Supplementary Fig. 3e). Of the tested atgRNAs, two harboring target mismatches in the guide (kpMM2, kpMM3) and one containing a mutated Cas12a repeat combined with a mutation in the constitutive gRNA promoter (mutR6P) led to elevated colony counts in the presence versus the absence of recA (e.g., ~10⁵ vs. 0 transformants) (Supplementary Fig. 3e). Proceeding with these three atgRNAs and a RT intended to generate a premature stop codon (Fig. 5b), we found that all three yielded >1000-fold increase in colony counts compared to the original gRNA (Fig. 5c). In addition, atgRNA15 yielded ~95% editing compared to ~10% editing with the original gRNA. The other two atgRNAs yielded similarly low editing as the original gRNA, albeit with much greater colony counts that facilitates finding an edited colony.

**Fig. 5: Attenuated gRNAs can be applied to reverse antibiotic resistance in multidrug-resistant Klebsiella pneumoniae.**

Continuing with the strain edited with atgRNA15, we evaluated transformation of the pAmpR plasmid conferring resistance to ampicillin (Fig. 5d). When growing cells on ampicillin plates, the edited strain yielded colonies only in the presence of pAmpR, while the wildtype strain yielded colonies in the presence or absence of pAmpR. Screening edited colonies that formed with ampicillin confirmed the presence of pAmpR. The edit therefore expands the genetic toolbox available to this strain with an additional selectable marker. Overall, we conclude that atgRNAs can be applied to achieve CRISPR-driven editing in non-model bacteria even for large edits, in some cases outperforming the more traditional CRISPR-based counterselection.

Discussion

In this work, we showed that systematically attenuating DNA targeting activity can achieve CRISPR-driven editing in bacteria, greatly boosting colony counts and even increasing the frequency of precise genome editing. This seemingly paradoxical concept—making DNA targeting weaker can improve editing—may be explained by the cells having time to repair cut genomic DNA with other copies of the chromosome or a provided RT. During exponential growth, bacteria initiate genome replication multiple times in one cell cycle to keep pace with cell division. Here, attenuated targeting would leave more genomic copies intact and thus available for templated repair. However, other mechanisms could be at work. For instance, some atgRNA modifications could promote active release of cut DNA, allowing faster access by the repair machinery. In addition, attenuated targeting may lead to nicking rather than cleavage of the DNA target^28,51, which can also be repaired through homologous recombination⁵². Within any of these mechanisms, templated repair through genomic DNA is likely more efficient, although repair with the RT prevents retargeting and thus drives the eventual build-up of edited cells in the population. Because of cell survival and the large number of resulting transformants, CRISPR-driven editing could enable the generation of edits normally challenging if not off-limits in bacteria, such as the generation of large libraries or simultaneous multiplexed edits. In contrast, efficient DNA targeting leads to rapid cutting of all genomic copies, forcing cells to undergo efficient homologous recombination immediately or eliminating cells that did not undergo recombination. Under these conditions, efficient DNA targeting would also select for escape mutants in the population that are resistant to CRISPR targeting (e.g., mutated Cas9 or gRNA plasmid, mutated target site)^53,54,55, accounting for the sometimes large fraction of unedited cells with a standard gRNA.

Achieving CRISPR-based editing in bacteria draws helpful parallels to editing in mammalian cells. There, DNA cuts engage different DNA repair pathways, allowing CRISPR to drive editing. In mammalian cells though, repair is dominated by end-joining pathways that lead to seemingly random edits. When relying on these pathways (e.g., for gene disruption), editing has proven to be highly efficient and can be readily multiplexed to disrupt numerous genes in one pass⁵⁶. Achieving precise edits through homologous recombination in mammalian cells however requires either extensive screening or a series of approaches to enhance this repair pathway or inhibit other repair pathways^57,58,59,60. As bacteria broadly lack the necessary machinery for end joining⁶¹, homologous recombination instead represents the dominant repair pathway. For this reason, attenuating DNA targeting to enhance editing is likely unique to bacteria, despite the parallels to CRISPR-driven editing in human cells.

One challenge with attenuating DNA targeting in bacteria is finding the “sweet spot” that sufficiently drives RecA-mediated homologous recombination. If targeting is too strong, then a large population of cells will be killed off; if targeting is too weak, then few of the cells will undergo editing. Our work and prior work suggest that the extent of attenuation needed to hit this sweet spot likely varies between gRNA:target site pairs as well as organisms¹⁵. Fortunately, a large set of options are available to attenuate DNA targeting as illustrated in this work, with atgRNAs posing the most flexible and fine-tuned means. In particular, we found that adding hairpins to Cas9’s sgRNA or modifying the repeat for Cas12a’s gRNA each represents the simplest gRNA modifications without needing to consider the target site or sequence. However, introducing G:U wobbles or other mismatches between the guide and target site proved to be a relatively dependable means of achieving CRISPR-driven editing with both Cas9 and Cas12a. The caveat is that new mutations would need to be created for each new target site. It is also possible that an unmodified sgRNA in itself exhibits poor targeting activity and thus would promote CRISPR-driven editing. To find the most appropriate option, we recommend first testing representative atgRNAs (e.g., target mismatches, repeat mutations, gRNA format) in the WT and recA-deletion strain to identify modifications that greatly boost colony counts in the presence of recA; if a recA deletion cannot be obtained in the strain-of-interest, a dominant-negative RecA or homologous recombination inhibitor (e.g., GamS) can be co-expressed to inhibit the endogenous repair pathways^14,62. Furthermore, we reason that, upon transformation with the selected mode of attenuated targeting and the RT, further culturing of colonies should continuously boost editing efficiencies by giving cells more opportunities to repair DSBs using the RT. In the future, we envision high-throughput screens combined with machine learning to predict the best atgRNA (or set of atgRNAs) for a given site and desired edit, paralleling work developing efficient guides for different applications^63,64,65.

Once an appropriate mode of attenuated targeting is identified, editing would follow a series of steps paralleling current use of traditional CRISPR-based editing techniques in bacteria. First, the designed atgRNA and repair template would be cloned into a plasmid construct–ideally with the CRISPR nuclease to generate an all-in-one plasmid. To ensure all constructs are removed from the edited strain for downstream use, the plasmid could be encoded with an origin-of-replication that is temperature-sensitive or can be easily cured. Non-replicating repair templates such as an oligonucleotide, linear DNA, or a non-replicating plasmid could also be used, although the editing efficiency with attenuated targeting will likely be reduced because the repaire template would not be maintained. A recombinase system, such as λ-red, can also be introduced to further improve or even achieve editing, as we observed for large deletions in K. oxytoca. Given the utility of attenuated targeting in E. coli and in Klebsiella species, we anticipate that our approach could be broadly applied across the bacterial world, facilitating future mechanistic studies and engineering efforts.

Methods

Plasmid and strain construction

Supplementary Data 1 contains all strains, plasmids, and oligonucleotides used in this work. The E. coli MG1655 ΔrecA (recA) and MG1655 ΔlacI-Z (lacI-Z) strains were produced using Flp-FRT recombination to remove the FRT-flanked kanR cassette in MG1655 ΔrecA::kanR and MG1655 ΔlacI-Z::kanR intermediate strains, respectively. All plasmids were constructed using standard cloning techniques, with all information in Supplementary Data 1.

Antibiotics

For all experiments in E. coli and K. pneumoniae, ampicillin (amp) was used at a final concentration of 100 μg/mL, kanamycin (kan) was used at a final concentration of 50 μg/mL, and chloramphenicol (cm) was used at a final concentration of 34 μg/mL. For all experiments in K. oxytoca, apramycin was used at a final concentration of 60 µg/mL and spectinomycin was used at a final concentration of 300 µg/mL.

Genome targeting transformation assay in E. coli

Cells expressing Cas9 (Figs. 1, 2, 4 and Supplementary Figs. 1, 3), or AsCas12a (Figs. 3, 5 and Supplementary Figs. 2, 3) were used to assess genome targeting in MG1655 and MG1655 ΔrecA. The strains were struck to isolation on a Luria-Bertani (LB) plate with the appropriate antibiotics. Single colonies were inoculated into liquid LB with antibiotics for overnight culturing at 37 °C shaking at 220 rpm. Each colony represents a biological replicate. The following morning, cells were back-diluted 50-fold into liquid LB with antibiotics and grown to an ABS₆₀₀ of 0.6−0.8. Subsequently, the cells were made electrocompetent and transformed via electroporation with 50 ng of the appropriate gRNA plasmid (see Supplementary Data 1 for more details). Cells were recovered in 500 μL of Super Optimal broth with Catabolite repression (SOC) medium for one hour at 37 °C shaking at 220 rpm and then plated in serial dilutions of 5-µL spots or using full plate dilutions on LB agar with appropriate antibiotics. The cells were incubated for 16 h at 37 °C. The number of colonies were counted the following morning and the number of transformants was back-calculated. One to two technical replicates of the cell dilutions were plated for the genome targeting assay to determine the number of transformants. The limit of detection was determined based on the volume of cells plated per condition.

Editing assay in E. coli

To evaluate the editing efficiencies in E. coli, the same procedure was followed as in the transformation assay with small modifications. Repair templates (RT) were introduced into the gRNA plasmids with 250-bp upstream and downstream homology arms flanking the edit unless otherwise stated (i.e., Fig. 3e where 500-bp and 750-bp upstream and downstream homology arms were also tested). The RTs were designed such that the PAM would be modified while introducing a restriction enzyme site that would either result in silent mutations or an in-frame 6 bp insertion (i.e., introducing 5′-CCTAGG-3′, the AvrII recognition site, directly downstream of the lacZ1 target site) to preserve functional lacZ upon editing. Therefore, different restriction enzymes were used to either introduce silent mutations for the particular target site or an in-frame small insertion to retain functional lacZ. The cells were made competent at an ABS₆₀₀ between 0.6−0.8 for experiments presented in Figs. 2b, 3c–e, 5c and Supplementary Figs. 1b, d, g, 2a–c. The cells were made competent at an ABS₆₀₀ of 1.4−1.6 for experiments presented in Figs. 1d, 2c, e, f and Supplementary Figs. 1f, 2d. Three to four technical replicates of the cell dilutions were plated for editing to ensure enough transformants would grow on the plates for subsequent screening. After transformation and selection on appropriate antibiotic plates, ten colonies from cells transformed with targeting gRNA plasmids and three colonies from cells transformed with the non-targeting gRNA plasmids were picked at random and re-struck onto LB plates with the appropriate antibiotics. These re-struck cells were incubated at 37 °C for 16 h. Colony PCRs were performed on the re-struck colonies using primers that flank the genomic target and anneal to the genomic DNA outside of the homology arms (i.e., prKC007 and prDC549 for experiments using WT or high-fidelity Cas9 nucleases targeting lacZ in E. coli, and oEV-775 and 776 or oEV-917 and 918 for experiments using AsCas12a to respectively insert small or bigger edits in E. coli). For editing experiments introducing a restriction enzyme site, PCR amplicons were then verified on a gel and purified with a PCR cleanup kit (DNA clean & concentrator 5, Zymo, Cat. no. D4014). 250 ng of the cleaned PCR products were then subjected to digestion by the appropriate restriction enzyme to evaluate if precise editing occurred. The digested products were resolved on a 1.5% agarose gel (or 1% for the Cas12a experiments) in Tris-acetate EDTA (TAE) buffer run at 80 V for 40 min and subsequently stained in ethidium bromide. The presence of any discernible digestion bands resulted in the colony being considered “edited”. No obvious digestion bands resulted in the colony being considered “non-edited”. For Cas12a experiments introducing a 2-bp deletion or bigger edits, 5 μL of the PCR products were directly loaded on the 1% agarose gel following the same conditions as described above for Cas9.

AvrII (NEB, Cat. no. R0174L) was used to evaluate precise editing for the RT used in Fig. 1d. BsgI (NEB, Cat. no. R0559L) was used to evaluate precise editing for the RT used in Fig. 2b, c, e. AclI was used to evaluate precise editing for the RT used in the left panel of Fig. 3c. RE digests were set up according to the manufacturer’s protocol. Sanger sequencing followed by alignment to the original sequence was performed to evaluate editing for the RT used in the right panel of Fig. 3c when deleting 2 nts. Colonies were considered edited when at least 700 bp aligned perfectly to the reference genome but with the two missing base-pairs Colony PCR was used to evaluate precise editing for the RTs used in Fig. 3e when deleting the lacZ gene or replacing lacZ with gfp. The colonies for the lacZ deletion were considered edited when the colony PCR would result in the intended ~3.1-kb deletion compared to the unedited NT control. The colonies for the gfp substitution were considered edited when the colony PCR would result in the intended ~2.4-kb deletion compared to the unedited NT control. A non-selective out-growth was used for the aTc inducible sgRNA editing experiment, Fig. 2b. The transformation assay was performed as described above (see ‘Genome targeting transformation assay in E. coli’) through the recovery step in SOC. Upon recovery, 20 μL of the recovering cells were back-diluted 100x into non-selective outgrowth medium (LB with chloramphenicol and the appropriate amount of aTc) and incubated at 37 °C shaking at 22 rpm for 16 h. The cells were then serially diluted in 1x PBS and 5-μL aliquots of each dilution were plated on LB plates with chloramphenicol and kanamycin without further aTc induction.

Editing assay in K. oxytoca

Klebsiella oxytoca MK01 overnight cultures were back-diluted 50-fold in LB medium and subsequently grown to ABS₆₀₀ of 0.6−0.8. Cells were then made electrocompetent and transformed with 50 ng of pCas9KP plasmid. 50 µL competent cells were recovered with 950 µL liquid LB for one hour at 30 °C shaking at 220 rpm. The culture was centrifuged at 8000 × g for 3 min. After the supernatant was removed, cells were resuspended with 50 µL of LB and plated on LB plates supplemented with 60 µg/mL apramycin. Three single colonies representing biological replicates were inoculated in LB with apramycin and cultured at 30 °C for 16 h. 1 mL of overnight cultures were inoculated into 100 mL of fresh LB and grown until ABS₆₀₀ of 0.15−0.2, then induced with 10 mL of 20% (w/v) L-arabinose LB supplemented with apramycin during which cultures were kept at room temperature shaking at 50 rpm for 2 h (ABS₆₀₀ of 0.6−0.8) and subsequently made electrocompetent as described above in the same paragraph.

To evaluate editing efficiencies presented in Fig. 4b, L-arabinose induced competent cells were co-transformed via electroporation with 200 ng of sgRNA plasmids and ≈500 ng of linear repair template assembled with 750 bp of upstream and downstream homology arms adjacent to the gene-of-interest using SOE-PCR. Cells were recovered with 950 µL of LB for one hour at 30 °C shaking at 220 rpm and then plated in serial dilutions on LB supplemented with apramycin (60 µg/mL) and spectinomycin (300 µg/mL). The limit-of-detection was determined based on the volume of cells plated per condition. After overnight incubation at 30 °C, 10 and 3 colonies were randomly picked from targeting sgRNA and non-targeting sgRNA containing transformation plates respectively and streaked out to fresh LB plates with the appropriate antibiotics and incubated at 30 °C for 16 h. The following day, colony PCRs were performed on the streaked-out colonies using primers targeting the genomic region outside of the homology arms (Proxy_22 and Proxy_31). Successful gene deletion was verified on 1% TAE agarose gel run at 130 V for 15 min and subsequently editing efficiencies were quantified.

Editing assay in K. pneumoniae

The transformation assay from E. coli was followed with small changes for improving transformation efficiency in Klebsiella pneumoniae ATCC 10031. Specifically, cells expressing the AsCas12a nuclease codon optimized for this bacterium have been back-diluted 50-fold in LB medium with chloramphenicol and 0.7 mM EDTA and made competent at ABS₆₀₀ ≈ 0.4. The plasmid encoding the gRNA has been transformed as previously stated. For the editing experiment, a recombineering template with homology arms of 250 bp was cloned into the AsCas12a gRNA backbone prior to transformation. Three technical replicates of the cell dilutions were plated for editing to ensure enough transformants would appear on the plates for subsequent screening. The limit of detection was determined based on the volume of cells plated per condition. Ten and three colonies for the targeting and non-targeting samples respectively were picked for each biological replicate to be struck out on agar plates with chloramphenicol and kanamycin for subsequent screening by colony PCR and Sanger sequencing. Some of these colonies were struck out on ampicillin plates in parallel to check for resistance or sensitivity to ampicillin respectively for unedited and edited colonies, Fig. 5d. One non-edited colony transformed with the NT gRNA plasmid and one edited colony obtained by using the atgRNA15 plasmid were made competent and transformed with pAmpR (i.e. CBS-3946) or with water and plated either on ampicillin or LB-only agar plates. Colony PCR was performed for three edited colonies transformed with pAmpR and three transformed with water. 10 µL of the purified PCR products were run on a 2% agarose TAE gel at 80 V for 40 min and stained for 15 min in EtBr prior to visualization.

Northern blotting analysis

MG1655 ΔlacI-Z cells were transformed with pCas9 and the appropriate gRNA plasmid (Supplementary Data 1; pDC786, pDC841, pDC876, pDC869, pDC829, pDC860, pDC889, pDC862, and pDC886) and selected for on appropriate antibiotics. Individual colonies were inoculated into LB with appropriate antibiotics and incubated at 37 °C shaking at 220 rpm overnight. Cultures were then back-diluted into 15 mL of fresh LB with antibiotics and grown to an ABS₆₀₀ of 0.6–0.8. 5 mL of this culture was mixed with 1 mL of STOP mix, 95% of 100% ethanol and 5% hot phenol (Carl Roth Cat No. A980.1). The cultures were then snap-frozen in liquid nitrogen and stored at −80 °C until analysis. The frozen cultures were then thawed on ice for 1 h. The cultures were spun down at 4700 rpm at 4 °C for 20 min. The supernatant was removed and then subsequently spun down at 4700 rpm at 4 °C for 1 min. The supernatant was removed and the pellet was mixed with 600 µL of lysozyme-solution (0.5 mg/mL in TE buffer, pH 8.0). 60 µL of 10% SDS was added and incubated at 64 °C for 1 min. 66 µL of 1 M sodium acetate (pH 5.2) was mixed into the solution and then 750 µL of phenol (Carl Roth, Cat. no. A980.1) was added. The samples were incubated at 64 °C and vortexed briefly every 30 s for 6 min. The samples were then incubated on ice for 3–5 min and spun down at 13,000 rpm at 4 °C for 15 min. The upper phase was then transferred into the 2-mL PLG tube (QuantaBio, Cat. no. 2302830). 750 µL of chloroform (Carl Roth, Cat. no. 3313.1) was then added and incubated at room temperature for 3 min. The samples were then spun down at 13,000 rpm at 12 °C for 15 min. The upper phase was then transferred into a sterile 2 mL Eppendorf tube where 1.4 mL of 30:1 ethanol: sodium acetate pH 6.5 was added. The RNA was precipitated at −20 °C for 2 h. The samples were then spun down at 13,000 rpm at 4 °C for 30 minutes. The supernatant was removed and 500 µL of 70% ethanol was added to the pellet. The samples were spun down at 13,000 rpm at 4 °C for 10 min. The supernatant was removed and pellets were allowed to air dry at room temperature with the lid open. The pellets were dissolved in 75–100 µL nuclease-free water and allowed to incubate at 70 °C shaking for 5 min. 10 µg of each RNA sample were mixed with 2x GLII loading buffer (NEB, Cat. no. B0363A) loaded on an 8% polyacrylamide (Rotiphorese® Gel 40 (19:1) Acrylamide and Bisacrylamide solution Carl Roth, Cat. no.#3030.1) 7 M Urea gel. The samples were run on the gel at 300 V for 135 minutes using a gel transfer system (Doppel-Gelsystem Twin L, PerfectBlue). The samples were transferred to a Hybond-XL membrane (GE healthcare, RPN203S) at 50 V for 1 h at 4 °C and then cross-linked using 0.12 J (UV-lamp T8C; 254 nm, 8 W). The membrane was hybridized overnight in 15 mL of Roti-Hybrid Quick buffer (Carl Roth, Cat. no. A981.1) at 42 °C with 2.5−10 pmol/µL of γ−32P end-labeled oligodeoxyribonucleotides (Supplementary Data 1), then wrapped into a clear foil and exposed in the cassette with the phosphor screen for 3 days and visualized on a Phosphorimager (Typhoon FLA 7000, GE Healthcare). prDC1416 is the lacZ1-specific probe used in Fig. 1c, prDC1417 is the lacZ2-specific probe used in Supplementary Fig. 2c, and prDC1418 is the lacZ3-specific probe used in Supplementary Fig. 2c.

Quantifying gRNA abundance

The raw northern blot images were used to quantify the relative abundance of fragments assumed to function as gRNAs. To calculate the abundance, ImageJ (https://imagej.nih.gov/ij/index.html) was used to measure the “mean gray value” for defined bands on the blot in each sample. We selected visible bands that were below 110 nts, as this was expected to represent either mature sgRNAs or crRNAs. Using ImageJ, a rectangle was drawn around a visible band and the “mean gray value” was measured. Then, the rectangle was moved horizontally to measure the mean gray value for the other samples at the same location. In total, six rectangles were used for a given sample for lacZ1, three rectangles for lacZ2, and six rectangles for lacZ3, covering all discernable bands appearing below 110 nts. This was done for each sample on the blot until each sample had a value measured for that particular RNA fragment size (e.g. ~110 nts). This process was repeated for each band size observed below 110 nts for the northern blot with a lacZ1, lacZ2, and lacZ3 probe. We used the same method of quantifying the mean gray value for the 5 S bands, which were used to normalize the quantified gRNAs from each sample. Following normalization to the 5 S, we summed the normalized gRNA abundance for each band size below 110 nts, and that is the value reported for each sample in the lower panel of Supplementary Fig. 1b.

Statistics and reproducibility

No statistical method was used to predetermine sample size. No data were excluded from the analyses. The experiments were not randomized. The Investigators were not blinded to allocation during experiments and outcome assessment.

Reporting summary

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

Data availability

The original gel images, including all replicates, generated in this study have been deposited in Mendeley data under accession code⁶⁶: https://doi.org/10.17632/f8ksz2nhd2.1. Source data are provided as a Source Data file, which also includes all original gel images as well as additional replicates. Source data are provided with this paper.

References

Luo, M. L., Leenay, R. T. & Beisel, C. L. Current and future prospects for CRISPR-based tools in bacteria. Biotechnol. Bioeng. 113, 930–943 (2016).
Article CAS Google Scholar
Choi, K. R. & Lee, S. Y. CRISPR technologies for bacterial systems: current achievements and future directions. Biotechnol. Adv. 34, 1180–1209 (2016).
Article CAS Google Scholar
Jiang, W., Bikard, D., Cox, D., Zhang, F. & Marraffini, L. A. RNA-guided editing of bacterial genomes using CRISPR-Cas systems. Nat. Biotechnol. 31, 233–239 (2013).
Article CAS Google Scholar
Li, Y. et al. Metabolic engineering of Escherichia coli using CRISPR-Cas9 meditated genome editing. Metab. Eng. 31, 13–21 (2015).
Article Google Scholar
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A. & Liu, D. R. Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature 533, 420–424 (2016).
Article ADS CAS 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 Google Scholar
Anzalone, A. V. et al. Search-and-replace genome editing without double-strand breaks or donor DNA. Nature 576, 149–157 (2019).
Article ADS CAS Google Scholar
Klompe, S. E., Vo, P. L. H., Halpin-Healy, T. S. & Sternberg, S. H. Transposon-encoded CRISPR-Cas systems direct RNA-guided DNA integration. Nature 571, 219–225 (2019).
Article CAS Google Scholar
Strecker, J. et al. RNA-guided DNA insertion with CRISPR-associated transposases. Science 365, 48–53 (2019).
Article ADS CAS Google Scholar
Iwasaki, R. S., Ozdilek, B. A., Garst, A. D., Choudhury, A. & Batey, R. T. Small molecule regulated sgRNAs enable control of genome editing in E. coli by Cas9. Nat. Commun. 11, 1394 (2020).
Article ADS CAS Google Scholar
Reisch, C. R. & Prather, K. L. J. The no-SCAR (Scarless Cas9 Assisted Recombineering) system for genome editing in Escherichia coli. Sci. Rep. 5, 15096 (2015).
Article ADS CAS Google Scholar
Jiang, Y. et al. Multigene editing in the Escherichia coli genome via the CRISPR-Cas9 system. Appl. Environ. Microbiol. 81, 2506–2514 (2015).
Article ADS CAS Google Scholar
Patinios, C. et al. Streamlined CRISPR genome engineering in wild-type bacteria using SIBR-Cas. Nucleic Acids Res. 49, 11392–11404 (2021).
Article CAS Google Scholar
Moreb, E. A. et al. Managing the SOS response for enhanced CRISPR-Cas-based recombineering in E. coli through transient inhibition of host RecA activity. ACS Synth. Biol. 6, 2209–2218 (2017).
Article CAS Google Scholar
Cui, L. & Bikard, D. Consequences of Cas9 cleavage in the chromosome of Escherichia coli. Nucleic Acids Res. 44, 4243–4251 (2016).
Article CAS Google Scholar
Deltcheva, E. et al. CRISPR RNA maturation by trans-encoded small RNA and host factor RNase III. Nature 471, 602–607 (2011).
Article ADS CAS 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 Google Scholar
Moreb, E. A., Hutmacher, M. & Lynch, M. D. CRISPR-Cas ‘non-target’ sites inhibit on-target cutting rates. CRISPR J. 3, 550–561 (2020).
Article CAS Google Scholar
Choudhury, A. et al. Determinants for efficient editing with Cas9-mediated recombineering in Escherichia coli. ACS Synth. Biol. 9, 1083–1099 (2020).
Article CAS Google Scholar
Vialetto, E. et al. A target expression threshold dictates invader defense and prevents autoimmunity by CRISPR-Cas13. Cell Host Microbe 30, 1151–1162.e6 (2022).
Article CAS Google Scholar
Slaymaker, I. M. et al. Rationally engineered Cas9 nucleases with improved specificity. Science 351, 84–88 (2016).
Article ADS CAS Google Scholar
Chen, J. S. et al. Enhanced proofreading governs CRISPR-Cas9 targeting accuracy. Nature 550, 407–410 (2017).
Article ADS CAS 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 Google Scholar
Kulcsár, P. I. et al. Crossing enhanced and high fidelity SpCas9 nucleases to optimize specificity and cleavage. Genome Biol. 18, 190 (2017).
Article Google Scholar
Schmid-Burgk, J. L. et al. Highly parallel profiling of Cas9 variant specificity. Mol. Cell 78, 794–800.e8 (2020).
Article CAS Google Scholar
Murugan, K., Suresh, S. K., Seetharam, A. S., Severin, A. J. & Sashital, D. G. Systematic in vitro specificity profiling reveals nicking defects in natural and engineered CRISPR-Cas9 variants. Nucleic Acids Res. 49, 4037–4053 (2021).
Article CAS Google Scholar
Jones, S. K. Jr et al. Massively parallel kinetic profiling of natural and engineered CRISPR nucleases. Nat. Biotechnol. 39, 84–93 (2021).
Article Google Scholar
Murugan, K., Seetharam, A. S., Severin, A. J. & Sashital, D. G. CRISPR-Cas12a has widespread off-target and dsDNA-nicking effects. J. Biol. Chem. 295, 5538–5553 (2020).
Article CAS Google Scholar
Zhang, L. et al. AsCas12a ultra nuclease facilitates the rapid generation of therapeutic cell medicines. Nat. Commun. 12, 3908 (2021).
Article ADS CAS Google Scholar
Zhang, L. et al. Systematic in vitro profiling of off-target affinity, cleavage and efficiency for CRISPR enzymes. Nucleic Acids Res. 48, 5037–5053 (2020).
Article CAS Google Scholar
Okafor, I. C. et al. Single molecule analysis of effects of non-canonical guide RNAs and specificity-enhancing mutations on Cas9-induced DNA unwinding. Nucleic Acids Res. 47, 11880–11888 (2019).
CAS Google Scholar
Mullally, G. et al. 5’ modifications to CRISPR-Cas9 gRNA can change the dynamics and size of R-loops and inhibit DNA cleavage. Nucleic Acids Res. 48, 6811–6823 (2020).
Article CAS Google Scholar
Collias, D. et al. A positive, growth-based PAM screen identifies noncanonical motifs recognized by the Cas9. Sci. Adv. 6, eabb4054 (2020).
Article ADS CAS Google Scholar
Zhang, Y. et al. Comparison of non-canonical PAMs for CRISPR/Cas9-mediated DNA cleavage in human cells. Sci. Rep. 4, 5405 (2014).
Article Google Scholar
Karvelis, T. et al. Rapid characterization of CRISPR-Cas9 protospacer adjacent motif sequence elements. Genome Biol. 16, 253 (2015).
Article Google Scholar
Leenay, R. T. et al. Identifying and visualizing functional PAM diversity across CRISPR-Cas systems. Mol. Cell 62, 137–147 (2016).
Article CAS Google Scholar
Briner, A. E. et al. Guide RNA functional modules direct Cas9 activity and orthogonality. Mol. Cell 56, 333–339 (2014).
Article CAS Google Scholar
Makarova, K. S. et al. Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants. Nat. Rev. Microbiol. 18, 67–83 (2020).
Article CAS 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 Google Scholar
Collias, D. & Beisel, C. L. CRISPR technologies and the search for the PAM-free nuclease. Nat. Commun. 12, 555 (2021).
Article ADS CAS Google Scholar
Jiang, Y. et al. CRISPR-Cpf1 assisted genome editing of Corynebacterium glutamicum. Nat. Commun. 8, 1–11 (2017).
Google Scholar
DeWeirdt, P. C. et al. Optimization of AsCas12a for combinatorial genetic screens in human cells. Nat. Biotechnol. 39, 94–104 (2021).
Article CAS Google Scholar
Creutzburg, S. C. A. et al. Good guide, bad guide: spacer sequence-dependent cleavage efficiency of Cas12a. Nucleic Acids Res. 48, 3228–3243 (2020).
Article CAS Google Scholar
Li, C., Swofford, C. A., Rückert, C. & Sinskey, A. J. Optimizing recombineering in Corynebacterium glutamicum. Biotechnol. Bioeng. 118, 2255–2264 (2021).
Article CAS Google Scholar
Shukal, S., Lim, X. H., Zhang, C. & Chen, X. Metabolic engineering of Escherichia coli BL21 strain using simplified CRISPR-Cas9 and asymmetric homology arms recombineering. Microb. Cell Fact. 21, 19 (2022).
Article CAS Google Scholar
Ji, Q. et al. Improving the homologous recombination efficiency of Yarrowia lipolytica by grafting heterologous component from Saccharomyces cerevisiae. Metab. Eng. Commun. 11, e00152 (2020).
Article Google Scholar
Osbelt, L. et al. Klebsiella oxytoca causes colonization resistance against multidrug-resistant K. pneumoniae in the gut via cooperative carbohydrate competition. Cell Host Microbe 29, 1663–1679.e7 (2021).
Article CAS Google Scholar
Wang, Y. et al. CRISPR-Cas9 and CRISPR-assisted cytidine deaminase enable precise and efficient genome editing in Klebsiella pneumoniae. Appl. Environ. Microbiol. 84, e01834–18 (2018).
Article CAS Google Scholar
Velazquez, E. M. et al. Endogenous Enterobacteriaceae underlie variation in susceptibility to Salmonella infection. Nat. Microbiol. 4, 1057–1064 (2019).
Article CAS Google Scholar
Lam, M. M. C. et al. A genomic surveillance framework and genotyping tool for Klebsiella pneumoniae and its related species complex. Nat. Commun. 12, 4188 (2021).
Article ADS CAS Google Scholar
Fu, B. X. H. et al. Target-dependent nickase activities of the CRISPR-Cas nucleases Cpf1 and Cas9. Nat. Microbiol 4, 888–897 (2019).
Article CAS Google Scholar
Maizels, N. & Davis, L. Initiation of homologous recombination at DNA nicks. Nucleic Acids Res. 46, 6962–6973 (2018).
Article CAS Google Scholar
Vercoe, R. B. et al. Cytotoxic chromosomal targeting by CRISPR/Cas systems can reshape bacterial genomes and expel or remodel pathogenicity islands. PLoS Genet. 9, e1003454 (2013).
Article CAS Google Scholar
Leenay, R. T. et al. Genome editing with CRISPR-Cas9 in Lactobacillus plantarum revealed that editing outcomes can vary across strains and between methods. Biotechnol. J. 14, e1700583 (2019).
Article Google Scholar
Gomaa, A. A. et al. Programmable removal of bacterial strains by use of genome-targeting CRISPR-Cas systems. MBio 5, e00928–13 (2014).
Article Google Scholar
Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013).
Article ADS CAS Google Scholar
Yu, C. et al. Small molecules enhance CRISPR genome editing in pluripotent stem cells. Cell Stem Cell 16, 142–147 (2015).
Article CAS Google Scholar
Pinder, J., Salsman, J. & Dellaire, G. Nuclear domain ‘knock-in’ screen for the evaluation and identification of small molecule enhancers of CRISPR-based genome editing. Nucleic Acids Res. 43, 9379–9392 (2015).
Article CAS Google Scholar
Maruyama, T. et al. Increasing the efficiency of precise genome editing with CRISPR-Cas9 by inhibition of nonhomologous end joining. Nat. Biotechnol. 33, 538–542 (2015).
Article CAS Google Scholar
Chu, V. T. et al. Increasing the efficiency of homology-directed repair for CRISPR-Cas9-induced precise gene editing in mammalian cells. Nat. Biotechnol. 33, 543–548 (2015).
Article CAS Google Scholar
Bernheim, A. et al. Inhibition of NHEJ repair by type II-A CRISPR-Cas systems in bacteria. Nat. Commun. 8, 2094 (2017).
Article ADS Google Scholar
Murphy, K. C. Lambda Gam protein inhibits the helicase and chi-stimulated recombination activities of Escherichia coli RecBCD enzyme. J. Bacteriol. 173, 5808–5821 (1991).
Article CAS Google Scholar
Chuai, G. et al. DeepCRISPR: optimized CRISPR guide RNA design by deep learning. Genome Biol. 19, 80 (2018).
Article Google Scholar
Kim, H. K. et al. Deep learning improves prediction of CRISPR-Cpf1 guide RNA activity. Nat. Biotechnol. 36, 239–241 (2018).
Article CAS Google Scholar
Xue, L., Tang, B., Chen, W. & Luo, J. Prediction of CRISPR sgRNA activity using a deep convolutional neural network. J. Chem. Inf. Model. 59, 615–624 (2019).
Article CAS Google Scholar
Collias, D. et al. Systematically attenuating DNA targeting enables CRISPR-driven editing in bacteria. Mendeley Data, V1, https://doi.org/10.17632/f8ksz2nhd2.1 (2023).

Download references

Acknowledgements

The authors thank Atul K. Singh for generating the E. coli ΔrecA strain used in this work. The pCas9 and pCRISPR plasmids were gifts from Luciano Marraffini (Addgene #: 42876 and 42875 respectively). The pCP20 plasmid was a gift from Jörg Vogel. The plasmid carrying the ampR gene used in the K. pneumoniae experiment was kindly cloned by Katharina G. Wandera and was sent to Addgene (# 184844) for a separate publication. This work was funded by the Joint Programming Initiative on Antimicrobial Resistance (01KI1824 to C.L.B. and T.S.) and the DF-AMR2 funding initiative (project DECOLONIZE, FKZ: 01KI2131).

Funding

Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations

Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080, Würzburg, Germany
Daphne Collias, Elena Vialetto, Jiaqi Yu, Khoa Co, Ann-Sophie Rüttiger, Tatjana Achmedov & Chase L. Beisel
Department of Chemical and Biomolecular Engineering, North Carolina State University, 27695, Raleigh, NC, USA
Daphne Collias & Chase L. Beisel
Helmholtz Centre for Infection Research (HZI), 38124, Braunschweig, Germany
Éva d. H. Almási & Till Strowig
German Center for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Braunschweig, Germany
Till Strowig
Medical Faculty, University of Würzburg, 97080, Würzburg, Germany
Chase L. Beisel

Authors

Daphne Collias
View author publications
You can also search for this author in PubMed Google Scholar
Elena Vialetto
View author publications
You can also search for this author in PubMed Google Scholar
Jiaqi Yu
View author publications
You can also search for this author in PubMed Google Scholar
Khoa Co
View author publications
You can also search for this author in PubMed Google Scholar
Éva d. H. Almási
View author publications
You can also search for this author in PubMed Google Scholar
Ann-Sophie Rüttiger
View author publications
You can also search for this author in PubMed Google Scholar
Tatjana Achmedov
View author publications
You can also search for this author in PubMed Google Scholar
Till Strowig
View author publications
You can also search for this author in PubMed Google Scholar
Chase L. Beisel
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

D.C., E.V., and C.L.B. devised the study. D.C., E.V. J.Y., K.C., E.A., A.R., and T.A. performed experiments. D.C. and C.L.B. wrote the manuscript with input from all other authors. E.V. generated the figures. T.S. and C.L.B acquired funding and supervised the project.

Corresponding author

Correspondence to Chase L. Beisel.

Ethics declarations

Competing interests

C.L.B. is a co-founder and member of the scientific advisory board of Locus Biosciences and a member of the scientific advisory board of Benson Hill. The other authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks the 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

Supplementary Information

Reporting Summary

Supplementary Data 1

Description of Additional Supplementary Files

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

Collias, D., Vialetto, E., Yu, J. et al. Systematically attenuating DNA targeting enables CRISPR-driven editing in bacteria. Nat Commun 14, 680 (2023). https://doi.org/10.1038/s41467-023-36283-9

Download citation

Received: 05 September 2022
Accepted: 25 January 2023
Published: 08 February 2023
DOI: https://doi.org/10.1038/s41467-023-36283-9

This article is cited by

A Hitchhiker’s guide to CRISPR editing tools in bacteria
- Nicolas Krink
- Pablo Iván Nikel
- Chase L Beisel
EMBO Reports (2024)
Flexible TAM requirement of TnpB enables efficient single-nucleotide editing with expanded targeting scope
- Xu Feng
- Ruyi Xu
- Qunxin She
Nature Communications (2024)

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.