Summary
The development of CRISPR‐based editors recognizing distinct protospacer‐adjacent motifs (PAMs), or having different spacer length/structure requirements broadens the range of possible genomic applications. We evaluated the natural and engineered variants of Cas12a (FnCas12a and LbCas12a) and Cas9 for their ability to induce mutations in endogenous genes controlling important agronomic traits in wheat. Unlike FnCas12a, LbCas12a‐induced mutations in the wheat genome, even though with a lower rate than that reported for SpCas9. The eight‐fold improvement in the gene editing efficiency was achieved for LbCas12a by using the guides flanked by ribozymes and driven by the RNA polymerase II promoter from switchgrass. The efficiency of multiplexed genome editing (MGE) using LbCas12a was mostly similar to that obtained using the simplex RNA guides and showed substantial increase after subjecting transgenic plants to high‐temperature treatment. We successfully applied LbCas12a‐MGE for generating heritable mutations in a gene controlling grain size and weight in wheat. We showed that the range of editable loci in the wheat genome could be further expanded by using the engineered variants of Cas12a (LbCas12a‐RVR) and Cas9 (Cas9‐NG and xCas9) that recognize the TATV and NG PAMs, respectively, with the Cas9‐NG showing higher editing efficiency on the targets with atypical PAMs compared to xCas9. In conclusion, our study reports a set of validated natural and engineered variants of Cas12a and Cas9 editors for targeting loci in the wheat genome not amenable to modification using the original SpCas9 nuclease.
Keywords: Wheat, genome editing, Cas12a, Cas9, protospacer‐adjacent motif, multiplex gene editing, grain size
Introduction
Amongst considerations for designing genome editing experiments using an easily customizable CRISPR‐Cas system, one of the important factors is the availability of target sequences with specific protospacer‐adjacent motifs (PAMs). The Cas9‐based editor’s specificity is defined by the 20 nt‐long target sequence located next to G‐rich NGG PAM (Jinek et al., 2012), which limits availability of target sequences. The discovery of Cas12a nuclease (Zetsche et al., 2015) and engineered SpCas9 variants (Hu et al., 2018a; Nishimasu et al., 2018) allows to expand the number of editable target sites. The T‐rich PAMs of Cas12a (TTTV or TTV) and the atypical NG PAMs of xCas9 and Cas9‐NG allows for genome editing in the regions that might lack the G‐rich PAMs needed for SpCas9. The Cas12a nucleases isolated from different sources, MbCas12a from Moraxella bovoculi 237, FnCas12a from Francisella novicida U112, AsCas12a from Acidaminococcus sp. BV3L6 and LbCas12a from Lachnospiraceae bacterium ND2006 were shown to induce detectable mutations in human and mammalian cells (Toth et al., 2018; Tu et al., 2017; Zetsche et al., 2015). In most cases, LbCas12a demonstrated the highest gene editing efficiency (Toth et al., 2018). All four Cas12a orthologues recognize the TTTV PAM (Toth et al., 2018), except for FnCpf1, which also recognizes the TTV PAM (Tu et al., 2017). The development of engineered AsCas12a (carrying mutations S542R/K607R or S542R/K548V/N552R) and LbCas12a (carrying mutations G532R/K595R or G532R/K538V/Y542R) with altered PAMs (TYCV or TATV) further broadened the utility of the Cas12a system for genome engineering applications (Gao et al., 2017).
The application of CRISPR‐Cas12a system has been widely studied in different plant species including Arabidopsis, rice, soybean and tobacco (Begemann et al., 2017; Endo et al., 2016; Hu et al., 2017; Kim et al., 2017; Tang et al., 2017; Xu et al., 2017; Yin et al., 2017). In rice, the efficiency of genome editing with LbCas12a was comparable to that observed for Cas9, whilst mutations induced by AsCas12a were hardly detectable (Li et al., 2018b; Tang et al., 2017). In addition, the LbCas12a‐mediated sequence replacement was also achieved in rice (Li et al., 2018a, 2019b, 2020). FnCas12a, which has shorter PAM (TTV), was proved to induce robust DNA cleavage in multiple species, including such model species as rice and tobacco (Begemann et al., 2017; Endo et al., 2016; Wang et al., 2017, 2018a; Zhong et al., 2018). Recently, the Cas12a orthologues ErCas12a, Lb5Cas12a, BsCas12a, Mb2Cas12a, TsCas12a and MbCas12a were shown to be highly effective for gene editing in rice (Zhang et al., 2021). In wheat, until now, only two target sites in the exogenous gene GUS (β‐glucuronidase) were edited using LbCas12a (Liu et al., 2020), with one of the targets showing the genome editing efficiency lower than that of Cas9.
The efficiency of multiplex genome editing (MGE) is another important consideration when choosing the CRISPR‐Cas system. To edit multiple targets in a genome using the CRISPR‐Cas9 system, multiple guide RNAs (gRNAs) should either be expressed each from its own independent promoter or be expressed as a long tandem gRNA array with individual units separated by spacers, which should undergo endogenous or exogenous RNA processing to produce functional RNA guides (Wang et al., 2016; Xing et al., 2014). The ability of Cas12a to process a precursor crRNA array (Fonfara et al., 2016; Zetsche et al., 2017) permits using it without need to separate each guide by a spacer sequence. Additionally, the short length of crRNAs makes the CRISPR‐Cas12a system an ideal MGE tool, which was successfully applied to editing the genome of different species, including rice (Wang et al., 2017; Zhang et al., 2021).
To expand the range of editable targets, one of the most broadly used nucleases, SpCas9, was engineered to recognize the NG PAM instead of NGG. The two engineered variants, referred to as xCas9 and Cas9‐NG, were initially tested in human/mammalian cells (Hu et al., 2018a; Nishimasu et al., 2018), and later in other species, including some crops (Li et al., 2019a; Ren et al., 2019; Zeng et al., 2019; Zhong et al., 2019). The xCas9 nuclease was substantially less effective than SpCas9 for editing the exogenous GUS gene in wheat (Liu et al., 2020), and less effective than Cas9‐NG for editing the endogenous targets in rice (Zeng et al., 2019; Zhong et al., 2019). However, the application of both xCas9 and Cas9‐NG for engineering the endogenous gene targets in wheat was not reported.
In this study, we investigated the ability of the natural and engineered variants of Cas12a and Cas9 to target sites with the canonical and non‐canonical PAMs in the wheat genome using the simplex and multiplex gene editing constructs. We showed that high‐temperature treatment of transgenic wheat substantially improves the efficiency of MGE with the Cas12a system. Using Cas12a, we have produced a stable mutant with heritable mutations in a gene affecting grain size and weight in wheat. We sought to improve the performance of the Cas12a system in wheat by evaluating constructs with human and plant codon‐optimized variants of Cas12a expressing guide RNAs under the control of the PvUbip promoter from switchgrass, and assessing the effect of ribozyme‐based guide processing on the efficiency of genome editing. We have demonstrated the ability of the engineered Cas12a and Cas9 nucleases with the altered PAMs to induce mutations at targets inaccessible to Cas9, expanding further the range of editable loci in the wheat genome.
Results
Comparison of LbCas12a and FnCas12a genome editing efficiency in wheat
Because AsCas12a showed lower gene editing (GE) efficiency in both rice and tobacco compared to LbCas12a (Bernabe‐Orts et al., 2019; Tang et al., 2017), in this study, we focussed on evaluating the GE efficiency of LbCas12a and FnCas12a, which recognize the TTTV and TTV PAMs, respectively (Figure 1a). In total, 17 RNA guides were designed for LbCas12a to target eight genes including TaAn‐1, TaGASR7, TaGS3, TaGSE5, TaGW2, TaGW7, TaPDS and TaSPL16 (Table S1). These genes, except TaPDS, have orthologues in rice and other crops that control the grain number, grain size or grain weight traits. The TaPDS encodes phytoene desaturase, an important enzyme in the carotenoid biosynthesis pathway. Two LbCas12a constructs, 9LCC, which has only the C‐terminal nuclear localization signal (NLS), and 9LCCnv, which has both the N‐ and C‐terminal NLSs on Cas12a (Figure 1a and Figure S1), were used for assessing the GE efficiency. The constructs 9LCC and 9LCCnv showed no significant difference (Student’s t test P > 0.05) in GE efficiency for targets GSE5T10 and GS3T11 (Table S2). The efficiency of GE for 11 gene targets assessed separately for each homoeologous genome in the wheat protoplast, after correcting for transformation efficiency, was higher than 1% in at least one genome (Figure 1b; Table S2), with the highest mean editing efficiency reaching 23.8%. Most of the mutations induced by LbCas12a were deletions longer than 3 bp located at the 3′ end of protospacers distal from PAMs (Figure 1c).
Due to overlap of PAM sequences, the guides designed for LbCas12a should target the same genes when used with FnCas12a. However, using 16 guide sequences designed for LbCas12a and two guides specifically designed for the targets carrying the TTV PAM, we could not identify FnCas12a‐induced mutations at the target sites in the wheat protoplasts (Figure 1b; Table S3).
We compared the proportion of targets that could be edited by LbCas12a and Cas9 with the efficiency of ≥1%. For this purpose, we designed the CRISPR‐Cas9 gRNAs to target the coding sequences of the TaGS3, TaGSE5 and TaPDS genes, subcloned them into the CRISPR‐Cas9 construct pA9Cas9sg (Figure 1a) and evaluated their performance in the protoplasts isolated form cv. Bobwhite. In addition, we used the previously reported GE efficiency data for the CRISPR‐Cas9 RNA guides targeting the TaGW7 gene (Wang et al., 2019) to compare with the performance of the LbCas12a RNA guides targeting the same gene. In total, 21 Cas9 guides targeting 58 loci and 12 LbCas12a guides targeting 34 loci were compared. The results show that 37 of 58 (64%) Cas9‐targeted loci and 14 of 34 (41%) LbCas12a‐targeted loci had mutation rates higher than 1% (Table S2 and S4). The highest GE efficiencies observed for the LbCas12a targets within genes TaGW7, TaGS3, TaGSE5 and TaPDS were 6.7%, 13.8%, 8.4% and 3.74%, respectively, after 48 h of the protoplast transformation. The highest GE efficiencies for the Cas9 targets within the TaGW7, TaGS3, TaGSE5 and TaPDS genes were 28.4%, 7.7%, 12.1% and 24.2%, respectively (Table S2 and S4). Overall, Cas9 has higher chance to find better performing guides compared to LbCas12a (Figure 1d).
Effect of high‐temperature treatment on CRISPR‐Cas12a‐based multiplex gene editing
The MGE efficiency of the CRISPR‐Cas12a system was investigated by transforming the wheat protoplasts using the constructs with the tandem arrays of three, four or eight crRNA units (Figure 2a and Figure S2). The LbCas12a‐induced mutations were detected for all multiplexed targets (Table S5). The editing efficiency of the multiplexed guides from the LbCas12a MGE constructs was largely comparable to that of the LbCas12a constructs carrying only one guide (Figure 2b and Figure S2, t‐test P > 0.05). Compared to constructs expressing single guides, the GE efficiencies of GS3T11 in the construct expressing 4 crRNAs (9LCCnv4T), GW7T13 in the construct expressing 8 crRNAs (9LCCnv8T), and GW2T6 in all tested MGE constructs were significantly increased (Figure 2b and Figure S2, t‐test P < 0.05). For unknown reasons, we observed increase in the GE efficiency of GW2T6 with increase in the number of crRNA units in the LbCas12a MGE constructs (Figure 2b and Figure S2). No similar increase in editing efficiency was observed for other guides.
To validate the CRISPR‐Cas12a system in wheat, we created 35 and 51 transgenic plants with the 9LCCnvGS3T11 (guide targeting the GS3T11 site subcloned into 9LCCnv) and 9LCCnv8T constructs, respectively. Genotyping by NGS detected no mutations in the 35 plants with 9LCCnvGS3T11. Amongst 51 with the 9LCCnv8T construct, two lines (5384‐1 and C3137‐1) had mutations at the target site GW7T14, with no mutations detected in the remaining target sites (Table S6). These results indicate the low editing efficiency of CRISPR‐Cas12a in wheat. The T0 plant 5384‐1 was heterozygous for 1‐bp deletion in TaGW7‐B1, and the T0 plant C3137‐1 was heterozygous for 3‐bp deletion in TaGW7‐D1 (Figure 3a). This was confirmed by the segregation ratio of the mutated alleles in the T1 progeny of 5384‐1 and C3137‐1 plants (Figure 3b).
Previously, we reported that due to the transgenerational activity of CRISPR‐Cas9 new mutations could be recovered in the progeny of transgenic plants (Wang et al., 2018b, 2019). We genotyped by NGS all remaining seven targets (beside GW7T14) in 62 T1 lines of 5384‐1 and 153 T1 lines of C3137‐1. No new mutations were detected at any of these seven targets (Table S6).
To assess the effect of the Cas12a expression levels on GE in the T1 plants, we performed quantitative PCR analysis of Cas12a in 47 T1 lines derived from 39 T0 plants carrying 9LCCnv8T, and 10 T1 lines derived from 8 T0 plants carrying 9LCCnvGS3T11 (Figure S3). The T1 plants showing the high Cas12a expression levels were screened for CRISPR‐Cas12a‐induced mutations. In total, we screened 121 T1 plants derived from 8 T0 plants carrying 9LCCnv8T (LbCas12a expression level relative to TaActin ≥ 1) and 12 T1 plants derived from 4 T0 plants carrying 9LCCnvGS3T11 (LbCas12a expression level relative to TaActin ≥ 0.4). All T0 plants had no edited targets detected. Amongst all screened T1 lines, only one line derived from T0 plant 6920‐1 (LbCas12a expression level relative to TaActin ˜ 2.5) was shown to carry heterozygous mutation in the TaGW2‐B1 gene targeted by the GW2T6 guide (Figure 3c; Table S7).
Previously, it was shown that high‐temperature treatment increases the Cas12a GE efficiency in rice, maize and Arabidopsis (Malzahn et al., 2019). To assess the effect of high‐temperature treatment on the GE efficiency in wheat, the selected set of T1 lines with highly expressed Cas12a was genotyped before and after the treatment. The 2‐week seedlings were treated for 2 weeks under 35 °C during the day (16 h) and 30 °C during the night (8 h). The T1 plants derived from one out of four T0 plants carrying 9LCCnvGS3T11 showed substantial improvement in GE efficiency at target site GS3T11 (Figure 3d; Table S7); the average editing efficiency increased from 0.1% before treatment to 2.2% after treatment. Likewise, after high‐temperature treatment, the T1 plants derived from three out of eight T0 plants carrying 9LCCnv8T showed improvement in GE efficiency at all multiplexed targets, except for GSE5T10 (Figure 3e‐h and Figure S4, Table S7). For example, the GE efficiency of both GW2T6 and GW7T13 targets was ˜0.3% before treatment. After treatment, the GW2T6 site showed the highest average GE efficiency of 5.8% and 2.5% in the T1 progeny of two T0 plants; GW7T13 showed the highest average GE efficiency of 2.5% in the T1 progeny of one T0 plant (Figure 3e, g and Figure S4, Table S7).
A CRISPR‐Cas12a‐induced mutation in the TaGW7‐B1 gene changed grain shape and weight
The effects of CRISPR‐LbCas12a‐induced mutations in TaGW7‐B1 on grain size and thousand grain weight (TGW) were assessed in the T1 and T2 lines derived from 5384‐1. The C3137‐1 was excluded from further analyses because the 3‐bp deletion does not cause frameshift in the coding sequence. In T1 lines, the TGW of TaGW7‐B1 homozygous mutants was increased by 6.2% compared to the wild‐type lines segregated from the same T0 plants (t test, P < 0.05; Figure 3i). This result was confirmed by the 2% increase of TGW in the TaGW7‐B1 homozygous mutants compared to the wild‐type plants in the T2 generation, though difference was not statistically significant (Figure 3j). Whilst the grain length of TaGW7‐B1 homozygous mutants was not increased compared to the wild‐type plants, the grain width was increased by 1.1% and 1.4% in the T1 and T2 lines, respectively. This increase of grain width was accompanied by the slight increase of grain area in the T1 and T2 lines. Though these increases in grain size were not statistically significant in both the T1 and T2 lines, the direction of phenotypic change in the mutants from both populations was similar, and also was consistent with the changes in the TaGW7‐B1 mutants previously created by our group using the CRISPR‐Cas9‐based editing (Wang et al., 2019).
Improving the CRISPR‐Cas12a‐based genome editing efficiency in wheat
The performance of the CRISPR‐LbCas12a construct 9LCCnv for most genes was significantly lower than that of the CRISPR‐Cas9 constructs (Figures 1d and 2b). Here, we explored the effect of various construct designs on the CRISPR‐LbCas12a performance. In rice, the editing efficiency of the LbCas12a system was significantly improved using the maize ubiquitin promoter to express RNA guides flanked by ribozymes (Tang et al., 2017). We created a construct pA9LbCas12acr‐enhanced (9LCCe) where the expression of a crRNA unit composed of direct repeat (DR) and spacer flanked by two ribozymes is driven by the switchgrass ubiquitin promoter (PvUbip; Figure 4a). Previously, it was also suggested that reduced GE efficiency of LbCas12a in rice for the last crRNA unit within the multiplex constructs could be associated with the lack of DR flanking the last spacer from the 3′ end (Wang et al., 2017). We evaluated whether the addition of DR to the 3′ end of the spacer could further improve GE efficiency using a construct referred to as pA9LbCas12acr‐enhanced2 (9LCCe2; Figure 4a). In addition, we compared human codon‐optimized LbCas12a with the plant codon‐optimized version (Tang et al., 2017) using constructs 9LCCop and 9LCCop2 (Figure 4a).
The DR and guides targeting SPL16T2 and GW2T6 were subcloned into these modified constructs (Figure 4a). Compared to the guides driven by the TaU6 promoter (9LCCnv construct), the editing efficiency of the SPL16T2 and GW2T6 crRNA flanked by ribozymes expressed from the PvUbip promoter was improved by 3‐ and 8‐fold, respectively (Figure 4b; Table S8). However, guides driven by the PvUbip promoter without the flanking ribozymes but carrying additional DR from the guides’ 3′ ends did not show improvement in editing efficiency (Figure 4b; Table S8). These results confirm the positive combined impact of the Pol II promoter and ribozyme usage on the performance of LbCas12a‐based GE system recently demonstrated in rice (Zhang et al., 2021). The observed improvement in GE efficiency is likely linked with the double ribozyme system rather than with the PvUbip promoter usage, because in our study, the combination of DR addition with the PvUbip promoter had little impact on editing efficiency. The plant codon‐optimized Cas12a slightly improved the GE efficiency at target SPL16T2, but no improvement was observed at target GW2T6 (Figure 4b; Table S8), which suggests that codon optimization did not substantially affect the performance of the CRISPR‐LbCas12a system.
The LbCas12a variant with the altered PAM induces mutations in the wheat genome
To broaden the editing capability of LbCas12a, we created a variant carrying mutations G532R, K538V and Y542R (henceforth LbCas12a‐RVR) that could recognize targets sites with the TATV PAMs (Figure 5a). As expected, the GE using LbCas12a‐RVR at three target sites, GSE5T9, GW2T6 and PDST16, each having the TTTV PAM, resulted in low mutation rate (Table S9). On contrary, by using LbCas12a‐RVR in combination with two guides targeting sites with the TATV PAMs in the TaAn‐1 gene (Table S1), we detected mutations at both sites (Figure 5b) with the highest GE efficiency reaching 3.1% (Table S9).
Off‐target gene editing activity of LbCas12a and LbCas12a‐RVR
It has been reported that both AsCas12a and LbCas12a show lower off‐target activity in human cells compared to Cas9 (Kim et al., 2016), likely due to the long PAM sequence. Here, we identified the possible off‐target sites for the LbCas12a by comparing the target sequences with the reference genome IWGSC RefSeq v1.0 (The International Wheat Genome Sequencing Consortium (IWGSC) 2018). Amongst the analysed 10 targets for LbCas12a and two targets for LbCas12a‐RVR, only six targets had matching PAMs (Figure S5). Most of these possible off‐target sequences were highly divergent within the 8 ˜ 10 bp from the PAM‐distal end, and one of the possible off‐target regions had SNPs located three and ten base‐pairs after PAM (Figure S5). These mutations are expected to prevent LbCas12a from inducing mutations at the off‐target sites. By sequencing these possible off‐target sites, we demonstrated the lack of off‐target editing activity for both CRISPR‐LbCas12a and CRISPR‐ LbCas12a‐RVR constructs (Table S10).
Cas9‐NG and xCas9 expand the range of genome editing targets in wheat
To investigate whether the xCas9 and Cas9‐NG enzymes engineered to recognize NG PAMs could edit genes in the wheat genome, the maize codon‐optimized Cas9 in construct pBUN421 was replaced by the synthesized maize codon‐optimized xCas9 and Cas9‐NG, henceforth referred to as pBUN421x and pBUN421NG, respectively. The GE ability of xCas9 and Cas9‐NG was investigated by transforming them into the wheat protoplasts isolated from a wheat line constitutively expressing green fluorescent protein (GFP). Seven targets with the ‘NGN’ PAMs were designed for the GFP coding sequence (Table S1). Whilst both xCas9 and Cas9‐NG nucleases induced mutations in the targets with the NGG PAMs, they showed preference for different targets. Compared to xCas9, Cas9‐NG showed eight times higher editing efficiency for target GFPT4 (Figure 6a). In contrast, xCas9 showed four times higher editing efficiency than Cas9‐NG for target GFPT5 (Figure 6a). When compared to wild‐type Cas9, both xCas9 and Cas9‐NG had lower editing efficiency for target GFPT13 with the NGG PAM (Figure 6a). For all four targets with the NGH PAMs, xCas9 showed lower editing efficiency than Cas9‐NG (Figure 6a). The highest editing efficiency of 5.8% and 26% was observed for xCas9 and Cas9‐NG on target site GFPT9 (Figure 6a; Table [Link], [Link]). Whilst Cas9‐NG induced mutations in targets GFPT7 and GFPT10 with the editing efficiency of 13.2% and 4.6%, respectively, no mutations were induced by xCas9 in these targets (Figure 6a; Table [Link], [Link]).
The ability of xCas9 and Cas9‐NG to edit the wheat genome was evaluated by targeting three regions with the NGG PAMs and three regions with the NGA PAMs in the TaARF4 gene (Table S1). Similar to target region GFPT13, both xCas9 and Cas9‐NG showed lower editing efficiency than the wild‐type Cas9 for target regions ARF4T1 and ARF4T2, both with the NGG PAM (Figure 6b; Table [Link], [Link]). Mutations were induced by xCas9 in one of the three targets with the NGA PAM, ARF4T5, with the editing efficiency of 5%. Cas9‐NG induced mutations in the two NGA PAM targets, ARF4T6 and ARF4T9, with the editing efficiency of 16.7% and 3.4%, respectively (Figure 6b; Table [Link], [Link]).
Discussion
In the current study, we successfully applied the natural and engineered variants of the Cas12a and Cas9 nucleases for genome editing in wheat. Even though FnCas12a was reported to be effective for genome editing in rice (Zhong et al., 2018), FnCas12a did not induce detectable mutations in our experiments, making it unsuitable for wheat genome engineering. This observation indicates that further optimization of newly CRISPR‐Cas systems is usually required to improve their portability across species, even for those that belong to the same clade. On contrary, LbCas12a was capable of inducing double strand breaks in the wheat genome, albeit at the lower rates than those previously observed in our studies for Cas9 (Wang et al., 2016, 2018b, 2019). Both the LbCas12a and engineered LbCas12a‐RVR variants showed no off‐target activities and ability to support highly specific genome editing in wheat.
The recovery of mutant lines with the loss‐of‐function mutations in the TaGW7‐B1 gene, demonstrating the expected effects on the grain size and weight traits (Wang et al., 2019), suggests that the Cas12a‐based editors are effective tool for modifying the wheat genome, especially in the regions that lack the NGG PAMs recognized by Cas9. To our best knowledge, this is the first report on the usage of Cas12a for producing heritable mutations in the wheat genome with the validated effect on phenotypic traits. We also found that the efficiency of Cas12a‐based MGE assessed in the protoplasts was not directly related to that obtained in the transgenic plants. Consistent with this observation, our prior work based on Cas9 showed that even though the protoplast‐based screening is critical for selecting guide RNAs for robust genome editing, the genome editing efficiencies assessed using this approach show relatively low correlation with the number of transgenic plants carrying mutations at the target loci (Wang et al., 2018b).
We show that a crRNA array without spacers in combination with Cas12a could be applied for the multiplexed wheat genome editing. In agreement with our previous study comparing the efficiency of simplex and MGE using CRISPR‐Cas9 in wheat (Wang et al., 2018b), most Cas12a targets were edited with the efficiency equal to that of the simplex guide RNAs. In addition, in the wheat protoplasts, we observed increase in the GW2T6 target editing efficiency following the increase in the level of multiplexing. Whilst this trend could be explained by various factors, including the increased Cas12a recruiting capacity of the crRNA arrays with the higher levels of multiplexing, the position of protospacers within the crRNA array or the higher accessibility of this locus in the wheat genome, it is currently hard to discern a specific reason for this observation.
Contrary to earlier work conducted in rice (Xing et al., 2014), the codon optimization of LbCas12a did not improve the efficiency of wheat genome editing. However, modifications introduced into the guide RNA‐processing system had a substantial effect on the LbCas12a’s editing ability. Even though the Cas12a nuclease is capable of processing crRNA arrays to produce mature crRNAs (Fonfara et al., 2016), its natural crRNA processing capability appears to limit the efficiency of genome editing in wheat, which could be substantially enhanced by supplementing crRNA constructs with ribozymes (Tang et al., 2017). Although most Cas12a targets had editing efficiency lower than 5%, some exhibited high mutation rates, as high as 24%, indicating that genome editing efficiency could be further improved by optimizing the CRISPR‐LbCas12a system. Consistent with a previous study (Malzahn et al., 2019), our results showed that the low editing activity exhibited by Cas12a under normal plant growth conditions could be overcome by high‐temperature treatment. The improvement of the Cas12a tolerance to low temperature was proposed as another strategy for increasing its editing activity. The potential of this approach was successfully demonstrated for LbCas12a (Schindele and Puchta, 2020) and Mb2Cas12a (Zhang et al., 2021). Further studies are warranted to assess the utility of these approaches for editing the wheat genome.
The engineered variants of Cas12a and Cas9 (LbCas12a‐RVR, Cas9‐NG and xCas9) recognizing non‐canonical PAMs (TATV and NG) further expand the scope of editable loci in the wheat genome. The application of engineered Cas12a variants to plant genome editing was until recently limited (Zhong et al., 2018). The successful modification of the targets located next to the TATC PAM using the altered LbCas12a‐RVR nuclease provides great addition to the wheat genome editing toolbox and broaden the range of species whose genomes could be modified using LbCas12a. We showed that the xCas9 and Cas9‐NG nucleases targeting minimal NG PAM were effective at generating double strand breaks within the endogenous gene targets that could not be edited using other editors. Though both xCas9 and Cas9‐NG recognized targets with the NG PAMs, in wheat, we observed some bias in the target preference, with Cas9‐NG being more effective at targets followed by the NGH PAM than xCas9 (Zeng et al., 2019; Zhong et al., 2019). Compared to xCas9 and Cas9‐NG, the recently engineered near‐PAMless SpCas9 variants SpG and SpRY, which recognize sites with non‐canonical NGN and NAN PAMs and many sites with NCN and NTN PAMs, have demonstrated the ability to target even broader range of genomic sites (Walton et al., 2020). The optimization of these nucleases for wheat has potential to fully eliminate constraints imposed by PAM recognition in genome editing applications.
Conclusion
Here, we evaluated the ability of the natural (FnCas12a, LbCas12a) and engineered (LbCas12a‐RVR, xCas9 and Cas9‐NG) variants of the CRISPR‐based DNA editors to induce mutations within the endogenous gene targets with the canonical and altered PAMs in the complex wheat genome. We demonstrated the improved target editing efficiency in the wheat genome using the LbCas12a constructs with crRNA units flanked by ribozymes. We showed that the multiplex gene editing efficiency mediated by LbCas12a substantially increases after subjecting transgenic plants to high‐temperature treatment. By using the LbCas12a nuclease in combination with the multiplexed RNA guides, we created stable wheat mutants with increased grain size and weight. We showed that the scope of editable loci in the wheat genome could be expanded by using the engineered LbCas12a‐RVR, xCas9 and Cas9‐NG nucleases recognizing targets with altered PAMs. Our study also highlights the importance of the systematic testing and optimization of newly developed CRISPR‐Cas‐based genome editing technologies to create a crop‐specific customized toolkits to effectively implement diverse genome editing strategies for improving agronomic traits.
Experimental procedures
Plasmid construction
To construct the plasmids for this study, all the DNA oligoes and fragments were synthesized by Integrated DNA Technologies. All the PCR was performed using NEBNext® High‐Fidelity 2× PCR Master Mix (Catalogue number: M0541L, New England Biolabs Inc., Ipswich, MA USA) following the manufacturer’s instructions. All DNA fragments were assembled using the NEBuilder® HiFi DNA Assembly Cloning Kit (Catalogue number: E5520S, New England Biolabs) following the manufacturer’s instructions. All the newly constructed plasmids were confirmed by Sanger sequencing.
A plasmid with AsCas12a crRNA (CRISPR RNA of Cas12a from Acidaminococcus sp. BV3l6) expression cassette was firstly constructed. The NOS terminator and wheat U6 promoter in plasmid pA9Cas9sg (Wang et al., 2016, 2019) were amplified using primers NOS‐F and DR‐AsCas12aF1 (Table S12). The direct repeat sequence of AsCas12a crRNA, two BsaI cutting sites, and seven ‘T’ bases were added by the second round of PCR using the NOS‐F and DR‐AsCas12aF2 primers (Table S12). The final PCR products were subcloned into pA9FeYFP (Figure S1) between the XmaI and SacI cutting sites by replacing the eYFP and NOS terminator. Henceforth, the resulting construct is referred to as pA9Ascr.
To construct plasmid pA9LbCas12acr (9LCC for short) that expressed the human codon‐optimized LbCas12a and crRNA, the plasmid pA9Ascr was amplified using the primer pair LbCrF and LbCrR. The PCR product was self‐ligated using NEBuilder® HiFi DNA Assembly Cloning Kit, and henceforth is referred to as pA9LbCr. The human codon‐optimized LbCas12a CDS and the 3′ end NLS were amplified using the LbCas12aF and LbCas12aR primers from plasmid pY016 (pcDNA3.1‐hLbCas12a). The PCR product was subcloned into pA9Lbcr to create the plasmid 9LCC (Figure S1). To add one more NLS peptide to the 5′ end of human codon‐optimized LbCas12a CDS, a primer pair SV40NLS_LbCas12a_F and LbCas12aR was used to amplify the human codon‐optimized LbCas12a CDS and the 3′ end NLS. Then the resulting PCR product was amplified again using a primer pair pA9_SV40NLS_F and LbCas12aR, followed by subcloning into pA9Lbcr to create a plasmid pA9LbCas12acr‐new‐version, or 9LCCnv for short (Figure S1). To create plasmid pA9 LbCas12aRVRcr, the plasmid pA9LbCas12acr was amplified using a primer pair pA9_SV40NLS_F and LbCas12aRVR‐R, and a primer pair LbCas12aRVR‐F and LbCas12aR. The resulting PCR products were ligated and amplified using a primer pair pA9_SV40NLS_F and LbCas12aR followed by subcloning into KpnI and XmaI digested pA9LbCas12acr‐new‐version to replace the wild‐type Cas12a.
To construct pA9FnCas12acr (9FCC for short) expressing a wheat codon‐optimized FnCas12a and its crRNA, the FnCas12a coding sequence with NLS and 3× HA tag on the 3′ ends was synthesized (Figure S1), and amplified using a primer pair SV40NLS_FnCas12a_F and FnCas12aR (Table S12). The resulting DNA fragment was amplified again using a primer pair pA9_SV40NLS_F and FnCas12aR to finalize the addition of SV40 NLSs. The PCR product was subcloned into pA9Ascr between KpnI and XmaI cut sites, resulting in plasmid pA9FnCas12aAscr. To change the crRNA direct repeat sequence from AsCas12a to FnCas12a, the plasmid was amplified using two primer pairs: NOS‐F and FnCrR, and FnCrF and FnCas12aR. The resulting two PCR products were assembled. This created the plasmid 9FCC.
To construct the pA9LbCas12a‐enhanced (9LCCe for short), the hammerhead ribozyme and hepatitis delta virus ribozyme sequences were added to the 5′ and 3′ ends of LbCas12a crRNA direct repeat, respectively, using the two rounds of PCR. Two BsaI cutting sites were embedded between the crRNA direct repeat and delta virus ribozyme. The first round of PCR was conducted using the primer pair Hammer‐crF and HDVribo‐crR with plasmid 9LCC as a template. The second PCR was done using the primer pair Hammer‐F and HDVriboR. The PCR product was assembled with PstI + XhoI digested pMOD_B2312 (Cermak et al., 2017). The new construct, designated as pMODLBcr, was then amplified using the primer pair PvUbi1pF4 and 35SterR2, and the 9LCC was amplified using the primer pair NOS‐F5 and NOS‐R followed by digestion with BamHI. The first PCR product and the digested product were assembled and amplified again using primer NOS‐F5 and 35SterR2. The new PCR product was assembled together with the 9LCC construct digested with XmaI and SacI to generate plasmid 9LCCe, which was then amplified using the two primer pairs, PvUbi1pF4 and PvUbi1pR1, and 35SterF2 and 35SterR2. These two PCR products were assembled and amplified using the primer pair PvUbi1pF4 and 35SterR2. The new PCR product was assembled with SpeI and SacI digested 9LCCe to form the plasmid pA9LbCas12a‐enhanced2 (9LCCe2 for short). Then the plant codon‐optimized LbCas12a was amplified from plasmid pYPQ230 (Tang et al., 2017) and used to replace the human codon‐optimized LbCas12a in 9LCCe and 9LCCe2, henceforth pA9LbCas12a‐optimized (9LCCop for short) and pA9LbCas12a‐optimized2 (9LCCop2 for short), respectively.
To obtain xCas9 and Cas9‐NG constructs, mutations were introduced into the maize codon‐optimized zCas9 in plasmid pBUN421 (Xing et al., 2014), resulting in the pBUN421x and pBUN421NG constructs, respectively. To construct pBUN421x, zCas9 was amplified with the two primer pairs, zCas9F3 and zCas9seq4, and zCas9R3 and zCas9seq5. Both PCR products were assembled along with the synthesized DNA fragment zxCas9_741‐3740. The assembled DNA fragment was amplified using the pair of primers zCas9F3 and zCas9R3, followed by assembling the resulting PCR product with XmaI and StuI digested pBUN421 to replace the wild‐type Cas9. To construct pBUN421NG, zCas9 was amplified using the primers zCas9F3 and zCas9seq19, and the resulting product was assembled along with the synthesized DNA fragment zCas9‐NG_R. The assembled product was amplified using the primers zCas9F3 and zCas9R3, followed by assembling the PCR product with XmaI and StuI digested pBUN421 to replace the wild‐type Cas9.
The sequences of the wheat orthologues of six rice genes, including OsGW2 (Song et al., 2007), OsGS3 (Mao et al., 2010), OsGSE5 (Duan et al., 2017), OsAn‐1 (Luo et al., 2013), OsSPL16 (Wang et al., 2012), OsARF4 (Hu et al., 2018b), were identified by comparing with the IWGSC RefSeq v2.0 reference genome on Ensembl Plants (https://plants.ensembl.org/index.html). The crRNA protospacers were selected from the cDNA sequences of the TaPDS, TaGASR7 (Ling et al., 2013), TaGW2, TaGS3, TaGSE5, TaAn‐1, TaSPL16 and TaGW7 genes (Wang et al., 2019). Both forward and reverse sequences of the protospacers along with the 4‐nucleotide 5′ overhangs were synthesized and subcloned into pA9FnCas12acr, pA9LbCas12acr, pA9 LbCas12aRVRcr, pBUN421x and pBUN421NG, as previously described (Wang et al., 2018b). To create the MGE constructs with three, four or eight tandem crRNA units, we synthesized one or two ultra‐DNA oligonucleotides (Table S12). These oligonucleotides were assembled and amplified by PCR, and resulting amplicons were subcloned into plasmid 9LCCnv.
Protoplast transformation
The wheat protoplast transient expression assay was performed as previously described with some modifications (Wang et al., 2018b). About 100 seedlings of wheat cultivar Bobwhite were grown in the dark for 2 weeks, shoot tissues were finely sliced and vacuumed at −600 mbar for 30 min in a 30 mL of W5 solution (0.1% glucose, 0.08% KCl, 0.9% NaCl, 1.84% CaCl2·2H2O, 2 mM MES‐KOH, pH 5.7). Then the tissues were digested for 2.5 h in a 30 mL enzymic mix containing 1.5% Cellulase R10 (from Trichoderma viride, 7.5 U/mg), 0.75% Macerozyme R10 (from Rhizopus sp.), 0.6 m mannitol, 10 mm MES pH 5.7, 10 mm CaCl2 and 0.1% BSA. After digestion, protoplasts were filtered through 40 μm nylon meshes. The remaining tissues were washed with the 30 mL of W5 solution followed by filtering through the nylon meshes. The resulting cell suspension was mixed gently, and protoplasts were collected by centrifugation at 100 g for 5 min, and then washed twice with the 10 mL of W5 solution. The final protoplast pellet was re‐suspended in the 5 mL of W5 solution, cell was counted using a haemocytometer. The re‐suspended protoplasts were kept on ice for 30 min to allow for the natural sedimentation. Then protoplast cell count was adjusted to 106 cells/mL in MMG solution (0.4 m mannitol, 15 mm MgCl2, 4 mm MES, pH 5.7).
The 10 µg of plasmid DNA and 100 µL of protoplasts were mixed with the 130 µL of PEG solution (40% (W/V) PEG 4000, 0.2 m mannitol and 0.1 m CaCl2). After 30‐min incubation at room temperature in the dark, 500 µL of W5 solution was added. The protoplasts were collected by centrifugation at 100 g for 2 min, re‐suspended in 1 mL of W5 solution and incubated in the dark at room temperature. The transformation efficiency was assessed by counting the fraction of fluorescent‐positive protoplasts transformed with pA9mRFP. Protoplasts were collected 48 h after transformation and DNA was isolated with PureLink Genomic DNA Mini Kit (Thermo Fisher Scientific, Catalogue number: K182002) following the manufacture’s protocol.
Gene editing efficiency calculation by the next generation sequencing (NGS) of PCR amplicon library
To detect mutations induced by the CRISPR‐Cas12a or CRISPR‐Cas9 variants, genomic regions harbouring the crRNA targets were amplified by PCR. The Illumina’s TruSeq adaptors on both ends of the amplicons were added using two rounds of PCR as described (Wang et al., 2016). PCR products were purified with MinElute PCR Purification Kit (Qiagen), pooled in equimolar ratio, and sequenced on a MiSeq Sequencer using the MiSeq Reagent Nano Kit v2 (500 cycles, 2 × 250 bp run) at the K‐State Integrated Genomics Facility. The Illumina reads passing quality control were aligned to the wild‐type reference sequences of targeted genes from each homoeologous chromosome separately. The GE efficiency was calculated for each homoeologous gene target by dividing the total number of mutated reads by the total number of all aligned reads.
Transgenic plants regeneration and genotyping
Wheat immature embryo transformation and plant regeneration were performed as previously described (Saintenac et al., 2013). To isolate DNA, leaf tissues were sampled and homogenized in 500 μL of TPS buffer, then incubated for 20 min at 75 °C. After centrifugation for 5 min, 140 μL of the supernatant was mixed with 140 μL isopropanol and incubated for 20 min at room temperature. DNA was precipitated, washed with 70% ethanol and re‐suspended in 100 μL of deionized water.
The presence of CRISPR/Cas12a or CRISPR‐Cas9 variants constructs in the transgenic plants was validated by PCR using four pairs of primers amplifying different regions of the Cas12a and crRNA expression cassettes (Table S12). The CRISPR/Cas12a‐induced mutations were examined only in the plants showing the presence of three PCR products. The mutations were detected using the NGS‐based procedure described above.
Plant growth and high‐temperature treatment
The CRISPR‐Cas12a induced mutant plants were grown and phenotyped as described previously with slight modifications (Wang et al., 2018c). Briefly, the T1 generation plants were grown in a growth chamber under 16‐h light/8‐h dark cycle. The temperature was set to 24 °C during the day and 20 °C during the night. The T2 generation plants were grown in the Kansas State University’s greenhouses under natural conditions supplemented by additional light sources to maintain 16‐h light/8‐h dark cycle. The room temperature was set as 24 °C during the day and 20 °C during the night.
To better evaluate the GE activity of CRISPR‐Cas12a in the transgenic lines, five or more seeds derived from each tiller of T0 plants carrying 9LCCnvGS3T11 and 9LCCnv8T were planted into the 16 × 8 well plastic tray (277.9 mm × 544.6 mm × 32.0 mm). Plants were grown under normal conditions as described above. The DNA and RNA were isolated from the leaves collected from the 2‐week seedlings (Wang et al., 2019). The presence of CRISPR‐Cas12a was tested by PCR using primers LB_25_F and LB_197_R. The RNA of one Cas12a positive T1 line from each T0 plant tiller was isolated and used to assess the expression levels of Cas12a by qPCR using primers LB_25_F/LB_197_R and Power SYBR™ Green PCR Master Mix (Thermo Fisher Scientific, catalogue# 4368706). T1 plants with the highest Cas12a expression level derived from 4 T0 plants carrying 9LCCnvGS3T11 and 8 T0 plants carrying 9LCCnv8T were selected for high‐temperature treatment. The plants were transplanted into the 1 L square pots and grown for 2 weeks in the growth chamber at 35 °C during the day (16 h) and 30 °C during the night (8 h). The NGS‐based genotyping of CRISPR‐Cas12a targets was performed with DNA isolated from the leaves of high‐temperature treated plants.
Grain morphometric data collection
To collect the grain morphometric data, three main spikes from each plant were harvested separately. A MARVIN seed analyzer (GTA Sensorik GmbH, Germany) was used to measure the grain morphometric traits (grain width, length, area), and TGW for each spike. The mean of three spikes from each plant was calculated and used for further analyses.
Statistical analysis
The two‐tailed Student’s t test was applied to assess the significance of differences between the simplex and multiplex GE efficiencies in the wheat protoplasts.
Conflict of interest
The authors declared that they do not have conflict of interests.
Author contributions
W.W. designed and conducted gene editing experiments, genotyped and phenotyped transgenic plants, collected and analysed phenotyping data and drafted the manuscript; B.T. conducted plant transformation experiments, provided the transgenic wheat with GFP, helped to design the gene editing experiments; Q.P. analysed gene editing events using NGS; Y.C. performed biolistic transformation of wheat embryos; F.H. developed NGS analysis pipeline; G.B. performed Sanger sequencing; A.A. designed and conducted NGS experiments; H.T. coordinated biolistic transformation part of the project; E.A. conceived idea, interpreted results, coordinated project and wrote the manuscript. All authors read the manuscript and approved the final version.
Supporting information
Acknowledgements
This project was supported by the Agriculture and Food Research Initiative Competitive Grants 2017‐67007‐25932 and 2020‐67013‐30906 from the USDA National Institute of Food and Agriculture, and grants from the Bill and Melinda Gates Foundation (INV‐004430) and Kansas Wheat Commission. We thank Dwight Davidson for the greenhouse management and phenotyping data collection. We thank Feng Zhang, Yiping Qi, Qi‐Jun Chen, and Daniel Voytas for providing plasmids pY016, pYPQ230, pBUN421, and pMOD_B2312, respectively.
Wang, W. , Tian, B. , Pan, Q. , Chen, Y. , He, F. , Bai, G. , Akhunova, A. , Trick, H. N. and Akhunov, E. (2021) Expanding the range of editable targets in the wheat genome using the variants of the Cas12a and Cas9 nucleases. Plant Biotechnol. J., 10.1111/pbi.13669
References
- Begemann, M.B. , Gray, B.N. , January, E. , Gordon, G.C. , He, Y. , Liu, H. , Wu, X. et al. (2017) Precise insertion and guided editing of higher plant genomes using Cpf1 CRISPR nucleases. Sci. Rep. 7, 11606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bernabé‐Orts, J.M. , Casas‐Rodrigo, I. , Minguet, E.G. , Landolfi, V. , Garcia‐Carpintero, V. , Gianoglio, S. and Vázquez‐Vilar, M. (2019) Assessment of Cas12a‐mediated gene editing efficiency in plants. Plant Biotechnol J., 17, 1971–1984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cermak, T. , Curtin, S.J. , Gil‐Humanes, J. , Cegan, R. , Kono, T.J.Y. , Konecna, E. , Belanto, J.J. et al. (2017) A multipurpose toolkit to enable advanced genome engineering in plants. Plant Cell, 29, 1196–1217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duan, P. , Xu, J. , Zeng, D. , Zhang, B. , Geng, M. , Zhang, G. , Huang, K. et al. (2017) Natural variation in the promoter of GSE5 contributes to grain size diversity in rice. Mol. Plant, 10, 685–694. [DOI] [PubMed] [Google Scholar]
- Endo, A. , Masafumi, M. , Kaya, H. and Toki, S. (2016) Efficient targeted mutagenesis of rice and tobacco genomes using Cpf1 from Francisella novicida . Sci. Rep. 6, 38169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fonfara, I. , Richter, H. , Bratovic, M. , Le Rhun, A. and Charpentier, E. (2016) The CRISPR‐associated DNA‐cleaving enzyme Cpf1 also processes precursor CRISPR RNA. Nature, 532, 517–521. [DOI] [PubMed] [Google Scholar]
- Gao, L. , Cox, D.B.T. , Yan, W.X. , Manteiga, J.C. , Schneider, M.W. , Yamano, T. , Nishimasu, H. et al. (2017) Engineered Cpf1 variants with altered PAM specificities. Nat. Biotechnol. 35, 789–792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hu, J.H. , Miller, S.M. , Geurts, M.H. , Tang, W. , Chen, L. , Sun, N. , Zeina, C.M. et al. (2018a) Evolved Cas9 variants with broad PAM compatibility and high DNA specificity. Nature, 556, 57–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hu, X. , Wang, C. , Liu, Q. , Fu, Y. and Wang, K. (2017) Targeted mutagenesis in rice using CRISPR‐Cpf1 system. J. Genet. Genomics, 44, 71–73. [DOI] [PubMed] [Google Scholar]
- Hu, Z. , Lu, S.J. , Wang, M.J. , He, H. , Sun, L. , Wang, H. , Liu, X.H. et al. (2018b) A novel QTL qTGW3 encodes the GSK3/SHAGGY‐like kinase OsGSK5/OsSK41 that interacts with OsARF4 to negatively regulate grain size and weight in rice. Mol. Plant, 11, 736–749. [DOI] [PubMed] [Google Scholar]
- Jinek, M. , Chylinski, K. , Fonfara, I. , Hauer, M. , Doudna, J.A. and Charpentier, E. (2012) A programmable dual‐RNA‐guided DNA endonuclease in adaptive bacterial immunity. Science, 337, 816–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim, D. , Kim, J. , Hur, J.K. , Been, K.W. , Yoon, S.H. and Kim, J.S. (2016) Genome‐wide analysis reveals specificities of Cpf1 endonucleases in human cells. Nat Biotechnol. Nature Publishing Group, 34, 863–868. [DOI] [PubMed] [Google Scholar]
- Kim, H. , Kim, S.T. , Ryu, J. , Kang, B.C. , Kim, J.S. and Kim, S.G. (2017) CRISPR/Cpf1‐mediated DNA‐free plant genome editing. Nat. Commun. 8, 14406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, J. , Luo, J. , Xu, M. , Li, S. , Zhang, J. , Li, H. , Yan, L. et al. (2019a) Plant genome editing using xCas9 with expanded PAM compatibility. J. Genet. Genomics, 46, 277–280. [DOI] [PubMed] [Google Scholar]
- Li, S. , Li, J. , Zhang, J. , Du, W. , Fu, J. , Sutar, S. , Zhao, Y. et al. (2018a) Synthesis‐dependent repair of Cpf1‐induced double strand DNA breaks enables targeted gene replacement in rice. J. Exp. Bot. 69, 4715–4721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, S. , Li, J. , He, Y. , Xu, M. , Zhang, J. , Du, W. , Zhao, Y. et al. (2019b) Precise gene replacement in rice by RNA transcript‐templated homologous recombination. Nat. Biotechnol. 37, 445–450. [DOI] [PubMed] [Google Scholar]
- Li, S. , Zhang, X. , Wang, W. , Guo, X. , Wu, Z. , Du, W. , Zhao, Y. et al. (2018b) Expanding the scope of CRISPR/Cpf1‐mediated genome editing in rice. Mol. Plant, 11, 995–998. [DOI] [PubMed] [Google Scholar]
- Li, S. , Zhang, Y. , Xia, L. and Qi, Y. (2020) CRISPR‐Cas12a enables efficient biallelic gene targeting in rice. Plant Biotechnol. J. 18, 1351–1353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ling, H.Q. , Zhao, S. , Liu, D. , Wang, J. , Sun, H. , Zhang, C. , Fan, H. et al. (2013) Draft genome of the wheat A‐genome progenitor Triticum urartu . Nature, 496, 87–90. [DOI] [PubMed] [Google Scholar]
- Liu, H. , Wang, K. , Jia, Z. , Gong, Q. , Lin, Z. , Du, L. , Pei, X. et al. (2020) Efficient induction of haploid plants in wheat by editing of TaMTL using an optimized Agrobacterium‐mediated CRISPR system. J. Exp. Bot. 71, 1337–1349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luo, J. , Liu, H. , Zhou, T. , Gu, B. , Huang, X. , Shangguan, Y. , Zhu, J. et al. (2013) An‐1 encodes a basic helix‐loop‐helix protein that regulates awn development, grain size, and grain number in rice. Plant Cell, 25, 3360–3376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Malzahn, A.A. , Tang, X. , Lee, K. , Ren, Q. , Sretenovic, S. , Zhang, Y. , Chen, H. et al. (2019) Application of CRISPR‐Cas12a temperature sensitivity for improved genome editing in rice, maize, and Arabidopsis. BMC Biol. 17, 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mao, H. , Sun, S. , Yao, J. , Wang, C. , Yu, S. , Xu, C. , Li, X. et al. (2010) Linking differential domain functions of the GS3 protein to natural variation of grain size in rice. Proc. Natl Acad. Sci. USA, 107, 19579–19584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nishimasu, H. , Shi, X. , Ishiguro, S. , Gao, L. , Hirano, S. , Okazaki, S. , Noda, T. et al. (2018) Engineered CRISPR‐Cas9 nuclease with expanded targeting space. Science, 361, 1259–1262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ren, B. , Liu, L. , Li, S. , Kuang, Y. , Wang, J. , Zhang, D. , Zhou, X. et al. (2019) Cas9‐NG greatly expands the targeting scope of the genome‐editing toolkit by recognizing NG and other atypical PAMs in rice. Mol. Plant, 12, 1015–1026. [DOI] [PubMed] [Google Scholar]
- Saintenac, C. , Zhang, W. , Salcedo, A. , Rouse, M.N. , Trick, H.N. , Akhunov, E. and Dubcovsky, J. (2013) Identification of wheat gene Sr35 that confers resistance to Ug99 stem rust race group. Science, 341, 783–786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schindele, P. and Puchta, H. (2020) Engineering CRISPR/LbCas12a for highly efficient, temperature‐tolerant plant gene editing. Plant Biotechnol. J. 18, 1118–1120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Song, X.J. , Huang, W. , Shi, M. , Zhu, M.Z. and Lin, H.X. (2007) A QTL for rice grain width and weight encodes a previously unknown RING‐type E3 ubiquitin ligase. Nat. Genet. 39, 623–630. [DOI] [PubMed] [Google Scholar]
- Tang, X. , Lowder, L.G. , Zhang, T. , Malzahn, A.A. , Zheng, X. , Voytas, D.F. , Zhong, Z. et al. (2017) A CRISPR‐Cpf1 system for efficient genome editing and transcriptional repression in plants. Nat. Plants, 3, 17018. [DOI] [PubMed] [Google Scholar]
- The International Wheat Genome Sequencing Consortium (IWGSC) . (2018) Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science. 361:eaar7191. [DOI] [PubMed] [Google Scholar]
- Toth, E. , Czene, B.C. , Kulcsar, P.I. , Krausz, S.L. , Talas, A. , Nyeste, A. , Varga, E. et al. (2018) Mb‐ and FnCpf1 nucleases are active in mammalian cells: activities and PAM preferences of four wild‐type Cpf1 nucleases and of their altered PAM specificity variants. Nucleic Acids Res. 46, 10272–10285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tu, M. , Lin, L. , Cheng, Y. , He, X. , Sun, H. , Xie, H. , Fu, J. et al. (2017) A 'new lease of life': FnCpf1 possesses DNA cleavage activity for genome editing in human cells. Nucleic Acids Res. 45, 11295–11304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walton, R.T. , Christie, K.A. , Whittaker, M.N. and Kleinstiver, B.P. (2020) Unconstrained genome targeting with near‐PAMless engineered CRISPR‐Cas9 variants. Science, 368, 290–296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, M. , Mao, Y. , Lu, Y. , Tao, X. and Zhu, J.K. (2017) Multiplex gene editing in rice using the CRISPR‐Cpf1 system. Mol. Plant, 10, 1011–1013. [DOI] [PubMed] [Google Scholar]
- Wang, M. , Mao, Y. , Lu, Y. , Wang, Z. , Tao, X. and Zhu, J.K. (2018a) Multiplex gene editing in rice with simplified CRISPR‐Cpf1 and CRISPR‐Cas9 systems. J. Integr. Plant Biol. 60, 626–631. [DOI] [PubMed] [Google Scholar]
- Wang, S. , Wu, K. , Yuan, Q. , Liu, X. , Liu, Z. , Lin, X. , Zeng, R. et al. (2012) Control of grain size, shape and quality by OsSPL16 in rice. Nat. Genet. 44, 950–954. [DOI] [PubMed] [Google Scholar]
- Wang, W. , Akhunova, A. , Chao, S. and Akhunov, E. (2016) Optimizing multiplex CRISPR/Cas9‐based genome editing for wheat. BioRxiv.1–34. 10.1101/051342 [DOI] [Google Scholar]
- Wang, W. , Pan, Q. , He, F. , Akhunova, A. , Chao, S. , Trick, H. and Akhunov, E. (2018b) Transgenerational CRISPR‐Cas9 activity facilitates multiplex gene editing in allopolyploid wheat. CRISPR J. 1, 65–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, W. , Pan, Q. , Tian, B. , He, F. , Chen, Y. , Bai, G. , Akhunova, A. et al. (2019) Gene editing of the wheat homologs of TONNEAU1‐recruiting motif encoding gene affects grain shape and weight in wheat. Plant J. 100, 251–264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, W. , Simmonds, J. , Pan, Q. , Davidson, D. , He, F. , Battal, A. , Akhunova, A. et al. (2018c) Gene editing and mutagenesis reveal inter‐cultivar differences and additivity in the contribution of TaGW2 homoeologues to grain size and weight in wheat. Theor. Appl. Genet. 131, 2463–2475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xing, H.L. , Dong, L. , Wang, Z.P. , Zhang, H.Y. , Han, C.Y. , Liu, B. , Wang, X.C. et al. (2014) A CRISPR/Cas9 toolkit for multiplex genome editing in plants. BMC Plant Biol. 14, 327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu, R. , Qin, R. , Li, H. , Li, D. , Li, L. , Wei, P. and Yang, J. (2017) Generation of targeted mutant rice using a CRISPR‐Cpf1 system. Plant Biotechnol. J. 15, 713–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yin, X. , Biswal, A.K. , Dionora, J. , Perdigon, K.M. , Balahadia, C.P. , Mazumdar, S. , Chater, C. et al. (2017) CRISPR‐Cas9 and CRISPR‐Cpf1 mediated targeting of a stomatal developmental gene EPFL9 in rice. Plant Cell Rep. 36, 745–757. [DOI] [PubMed] [Google Scholar]
- Zeng, D. , Li, X. , Huang, J. , Li, Y. , Cai, S. , Yu, W. , Li, Y. et al. (2019) Engineered Cas9 variant tools expand targeting scope of genome and base editing in rice. Plant Biotechnol. J. 18, 1348–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zetsche, B. , Gootenberg, J.S. , Abudayyeh, O.O. , Slaymaker, I.M. , Makarova, K.S. , Essletzbichler, P. , Volz, S.E. et al. (2015) Cpf1 is a single RNA‐guided endonuclease of a class 2 CRISPR‐Cas system. Cell, 163, 759–771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zetsche, B. , Heidenreich, M. , Mohanraju, P. , Fedorova, I. , Kneppers, J. , DeGennaro, E.M. , Winblad, N. et al. (2017) Multiplex gene editing by CRISPR‐Cpf1 using a single crRNA array. Nat. Biotechnol. 35, 31–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang, Y. , Ren, Q. , Tang, X. , Liu, S. , Malzahn, A.A. , Zhou, J. , Wang, J. et al. (2021) Expanding the scope of plant genome engineering with Cas12a orthologs and highly multiplexable editing systems. Nat. Commun. 12, 1944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhong, Z. , Sretenovic, S. , Ren, Q. , Yang, L. , Bao, Y. , Qi, C. , Yuan, M. et al. (2019) Improving plant genome editing with high‐fidelity xCas9 and non‐canonical PAM‐targeting Cas9‐NG. Mol. Plant, 12, 1027–1036. [DOI] [PubMed] [Google Scholar]
- Zhong, Z. , Zhang, Y. , You, Q. , Tang, X. , Ren, Q. , Liu, S. , Yang, L. et al. (2018) Plant genome editing using FnCpf1 and LbCpf1 nucleases at redefined and altered PAM sites. Mol. Plant, 11, 999–1002. [DOI] [PubMed] [Google Scholar]
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