Summary
Kiwifruit is an important fruit crop; however, technologies for its functional genomic and molecular improvement are limited. The clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR‐associated protein (Cas) system has been successfully applied to genetic improvement in many crops, but its editing capability is variable depending on the different combinations of the synthetic guide RNA (sgRNA) and Cas9 protein expression devices. Optimizing conditions for its use within a particular species is therefore needed to achieve highly efficient genome editing. In this study, we developed a new cloning strategy for generating paired‐sgRNA/Cas9 vectors containing four sgRNAs targeting the kiwifruit phytoene desaturase gene (AcPDS). Comparing to the previous method of paired‐sgRNA cloning, our strategy only requires the synthesis of two gRNA‐containing primers which largely reduces the cost. We further compared efficiencies of paired‐sgRNA/Cas9 vectors containing different sgRNA expression devices, including both the polycistronic tRNA‐sgRNA cassette (PTG) and the traditional CRISPR expression cassette. We found the mutagenesis frequency of the PTG/Cas9 system was 10‐fold higher than that of the CRISPR/Cas9 system, coinciding with the relative expressions of sgRNAs in two different expression cassettes. In particular, we identified large chromosomal fragment deletions induced by the paired‐sgRNAs of the PTG/Cas9 system. Finally, as expected, we found both systems can successfully induce the albino phenotype of kiwifruit plantlets regenerated from the G418‐resistance callus lines. We conclude that the PTG/Cas9 system is a more powerful system than the traditional CRISPR/Cas9 system for kiwifruit genome editing, which provides valuable clues for optimizing CRISPR/Cas9 editing system in other plants.
Keywords: kiwifruit, genome editing, PTG/Cas9, CRISPR/Cas9, chromosomal fragment deletion, paired‐sgRNA
Introduction
Creation of mutants is an important procedure in investigating gene function and crop improvement (Gaj et al., 2013). Compared to traditional mutagenesis, targeted genome editing mediated by site‐specific nucleases (SSNs) is precise, convenient and time‐saving (Gaj et al., 2013). Three SSNs, namely, zinc‐finger nucleases (ZFNs), transcription activator‐like effector nucleases (TALENs) and the clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR‐associated protein (Cas) system (CRISPR/Cas), are widely used in targeted genome editing, particularly in crop improvement (Carroll, 2014; Chen and Gao, 2014). These SSNs induce DNA double‐strand breaks (DSBs) at specific sites and trigger in vivo DNA repair pathways, including homologous recombination (HR) and nonhomologous end‐joining (NHEJ) pathways (Carroll, 2014). Comparatively, ZFNs and TALENs are constructed by designing and fusing customizable ZF/TALE DNA‐binding domains with the FokI cleavage domain, and their use is limited by the need to engineer a specific protein pair for each new target. The CRISPR/Cas system, which developed from the adaptive immunity of bacteria and archaea, is relatively versatile and highly efficient in targeted genome editing, in particular for multiplex engineering and fewer limitations on selections of target sites (Komor et al., 2016).
The CRISPR/Cas system can be divided into six types (type I–VI) (Mohanraju et al., 2016). The type II system, which consists of a single Cas9 protein, has been widely adapted as a simple and highly efficient targeted genome editing tool (Hayward et al., 2013; Shan et al., 2013). In this system, the mature dual CRISPR RNA (crRNA) consists of a crRNA and small trans‐activating CRISPR RNA (tracrRNA), which forms a functional complex with the endonuclease Cas9 (Deltcheva et al., 2011; Jinek et al., 2012). The Cas9 ribonucleoprotein complex then binds to DNA at a typical protospacer adjacent motif (PAM) sequence and a protospacer matching the crRNA. Cleavage occurs at the targeted site in relation to the PAM on both strands, which is mediated by the Cas9 endonuclease domains RuvC and HNH, introducing precise DSBs that cause targeted DNA degradation (Deltcheva et al., 2011).
Optimization of a single synthetic guide RNA (sgRNA) to replace the mature dual crRNA makes it easy to utilize the CRISPR/Cas9 system for genome editing in both prokaryotes and eukaryotes (Hsu et al., 2014; Jinek et al., 2012). To achieve editing at a single gene/target, both the Cas9 protein and a single sgRNA needed to be expressed in cells. In plants, Cas9 nucleases are usually fused with a nuclear localization signal (NLS) and expressed by the RNA polymerase II (Pol II) promoter (the cauliflower mosaic virus (CaMV) 35S promoter or gene‐specific promoters, such as the maize ubiquitin promoter), whereas sgRNAs are normally expressed by the RNA polymerase III (Pol III) promoter, including the commonly used U3 and U6 promoters (Li et al., 2013). The CRISPR/Cas9 system can be further applied to multiple genes/target modifications mediated by the co‐expressions of several different sgRNAs (Ma et al., 2015). The sgRNA expression cassette comprises a Pol III promoter, the sgRNA and a Pol III terminator, and the co‐expression of several sgRNAs can be achieved by connecting multiple sgRNA expression cassettes tandemly to simultaneously modify multiple genomic targets (Ma et al., 2015). However, this approach would be a challenge for most organisms due to the limitation of delivery method and plasmid vector capacity.
Recently, a scheme mediated by the endogenous tRNA‐processing system has been designed to boost the multiplex editing capability of the CRISPR/Cas9 system (Xie et al., 2015). In this scheme, the sgRNA expression cassette consists of a Pol III promoter, multiple tandemly arrayed tRNA‐sgRNA units and a Pol III terminator that form a polycistronic tRNA‐sgRNA (PTG) gene. The start and end sites of the tRNA in the tandemly arrayed tRNA‐sgRNA transcripts are precisely recognized and cleaved by endogenous RNases (RNase P and RNase Z in plants) to simultaneously produce multiple functional sgRNAs (Xie et al., 2015). Additionally, the tRNA gene contains internal promoter elements, suggesting that it may work as a potential transcriptional enhancer, as verified in a recent study involving rice, which showed that the relative expression level of the sgRNA in the PTG/Cas9 system is higher than in the CRISPR/Cas9 system (Minkenberg et al., 2016; Xie et al., 2015). Compared to the traditional CRISPR/Cas9 system, the PTG/Cas9 system is simpler and more efficient for multiplex targeted genome modifications.
The CRISPR/Cas9 system has been utilized for targeted genomic alternations in many plants, including Arabidopsis thaliana (Lowder et al., 2015), Nicotiana benthamiana (Li et al., 2013), rice (Shan et al., 2013), wheat (Li et al., 2013), maize (Feng et al., 2016), orange (Jia and Nian, 2014), apple (Nishitani et al., 2016), tomato (Pan et al., 2016), grape (Wang et al., 2017b) and Populus (Fan et al., 2015). However, the mutagenesis frequencies of the CRISPR/Cas9 system can vary significantly in plants even within the same species (e.g. 1.1%–90.4% in Arabidopsis) (Bortesi et al., 2016). The efficiency of the CRISPR/Cas9 system is influenced by many factors, especially the expression of the components in the CRISPR/Cas9 system and the nature of the sgRNA (Bortesi et al., 2016). For example, high expression levels of sgRNA and Cas9 can increase the editing efficiency at least in tomato (Pan et al., 2016), Arabidopsis (Ma et al., 2015) and rice (Xie et al., 2015). Moreover, sgRNAs with high GC content (greater than 50%) often have high editing efficiency (Bortesi et al., 2016). Optimization was therefore needed for each particular species to achieve high editing efficiency.
Kiwifruit (Actinidia Lindl.) is an economically and nutritionally important fruit crop that has high vitamin C content as well as minerals, dietary fibre and health‐promoting metabolites (Huang et al., 2013; Park et al., 2013). The worldwide yield of kiwifruit in 2014 reached 5 287 605 tons (http://www.fao.org/). However, the current kiwifruit industry is facing great challenges, including the outbreak of bacterial canker disease (McCann et al., 2017). Rapidly breeding new germplasm/cultivars with desired traits are therefore needed to solve the problems affecting the global kiwifruit industry. Because generating new kiwifruit germplasm/cultivars using conventional breeding programs is generally tedious and time‐consuming (Huang, 2014), the recently developed CRISPR/Cas9 system provides a favourable opportunity for perennial crop improvement based on its highly efficient first‐generation genome editing scheme (Shan et al., 2013). In particular, with the accumulation of whole‐genome sequencing data, more functional genomics studies and generation of engineered kiwifruit mutants for both breeding and production need to be conducted.
In this study, we characterized and compared the efficiencies of the CRISPR/Cas9 and the PTG/Cas9 systems in kiwifruit using Agrobacterium‐mediated kiwifruit transformation. We also present a rapid, efficient and inexpensive approach to generate paired‐sgRNA/Cas9 binary vectors for both the CRISPR/Cas9 and the PTG/Cas9 systems. We designed four sgRNAs (sgRNA1 to sgRNA4) that target different sites within the kiwifruit phytoene desaturase gene (AcPDS). We have determined that both the CRISPR/Cas9 and the PTG/Cas9 systems can be used for single and multiple site‐specific mutagenesis in kiwifruit, with efficiencies significantly higher in the PTG/Cas9 system at all four targets. The PTG/Cas9 system also induced large chromosomal fragment deletions using the paired‐sgRNA/Cas9 binary vector, and no similar mutation was found by the CRISPR/Cas9 system. Our results prove that the PTG/Cas9 system is more efficient for site‐specific mutagenesis in kiwifruit.
Results
Site‐specific mutagenesis strategy in kiwifruit
The disruption of phytoene desaturase gene (PDS) causes albino and dwarf phenotypes in Arabidopsis (Qin et al., 2007). We identified the PDS homologous gene Ach19g199631 (AcPDS) in kiwifruit from the kiwifruit information resource database (http://bdg.hfut.edu.cn/kir/index.html) and validated the annotation of AcPDS using BLASTP with the nonredundant (Nr) protein sequences database (https://www.ncbi.nlm.nih.gov/protein). A fragment of the AcPDS gene was amplified using the primer pair F1 and R2 (Table S1; Figure 1a) and then validated by Sanger sequencing. To design sgRNAs targeting the AcPDS gene, four sgRNAs (sgRNA1 to sgRNA4, Table S1) were designed to target different sites within the amplified AcPDS fragment using the software Cas‐Designer (Figure 1a; Park et al., 2015). The sgRNA1 and sgRNA2 were located on the first and second exons of the AcPDS gene, respectively, and both were further constructed into the same paired‐sgRNA/Cas9 binary vector (Figure 1a). The sgRNA3 and sgRNA4 were located at the intron 7 and exon 8, respectively (Figure 1a). Based on the backbone of the pYLCRISPR/Cas9P35S‐N vector (which were kindly provided by Prof. Yaoguang Liu, South China Agricultural University, Guangzhou, China), we inserted a fragment containing the AtU6‐1 promoter, two BsaI sites, the sgRNA scaffold and the Pol III terminator to replace the sequence between the two AscI sites to form a new Cas9 binary construct, which we designated as pHLW‐sgRNA‐Cas9‐AtU6‐1 (Figure S1a). Similarly, we used a fragment consisting of the AtU6‐1 promoter, tRNAGly, two BsaI sites, sgRNA scaffold and Pol III terminator to replace those between the two AscI sites to construct another new Cas9 binary vector, pPTG‐sgRNA‐Cas9‐AtU6‐1 (Figure S1b). To construct the sgRNA intermediate vector for the PTG/Cas9 system, we used the fragment (containing the sgRNA scaffold and the tRNAGly) to replace the sequence between the HindIII and BamHI sites of the construct pYLsgRNA‐AtU6‐1 (Figure S1c) to form a new sgRNA intermediate construct pHLW‐sgRNA‐tRNA (Figure S1d) (Ma et al., 2015).
To compare the mutagenesis efficiencies of the CRISPR/Cas9 and the PTG/Cas9 systems in kiwifruit, we inserted paired‐sgRNA expressing cassettes of both systems into the Cas9 binary vectors (pHLW‐sgRNA‐Cas9‐AtU6‐1/pPTG‐sgRNA‐Cas9‐AtU6‐1, Figure 1b) to construct sgRNA/Cas9 binary vectors for further Agrobacterium‐mediated kiwifruit transformation (A1 and A2 for the CRISPR/Cas9 system; B1 and B2 for the PTG/Cas9 system; Figure 1c,d). We designed a rapid and inexpensive paired‐sgRNA cloning strategy for both the CRISPR/Cas9 and the PTG/Cas9 systems (Figure 2). This cloning strategy included two steps: the first involved routine PCR, in which primers specifically designed for both systems (Figure 2) were used to amplify sequences on the templates in relation to the sgRNA intermediate vectors pYLsgRNA‐AtU6‐1 and pHLW‐sgRNA‐tRNA for both systems, respectively (Figure 2). The second step was a cleavage and ligation reaction. Here, the PCR products and both Cas9 binary vectors (pHLW‐sgRNA‐Cas9‐AtU6‐1 for the CRISPR/Cas9 system and pPTG‐sgRNA‐Cas9‐U6‐1 for the PTG/Cas9 system) were digested with BsaI, and the digestion products were then ligated with T4 DNA ligase. This generated the final paired‐sgRNA/Cas9 binary vectors (Figure 2). We used the four sgRNAs (sgRNA1 to sgRNA4) that targeted the AcPDS gene and tested whether this strategy can correctly and efficiently work. We successfully amplified fragments for both the CRISPR/Cas9 and the PTG/Cas9 systems using the corresponding primers (Table S1). The PCR products of both systems were of the expected lengths (508 and 227 bp for the CRISPR/Cas9 and the PTG/Cas9 systems, respectively; Figure S2). We used the primer pair SP‐DL and SP‐R to amplify the final paired‐sgRNA/Cas9 binary vectors for the CRISPR/Cas9 and PTG/Cas9 systems, followed by validation using Sanger sequencing (Table S1; Figure S2). These results revealed that the paired‐sgRNA cloning strategy can efficiently and correctly work for constructing paired‐sgRNA/Cas9 binary vectors.
High‐efficiency multiplex editing in kiwifruit using sgRNA/Cas9 constructs
A previous study has described a highly efficient Agrobacterium‐mediated kiwifruit transformation system (Wang et al., 2010). On the basis of this system, the paired‐sgRNA/Cas9 binary vectors (A1/A2 for the CRISPR/Cas9 system and B1/B2 for the PTG/Cas9 system, Figure 1) were transferred into Agrobacterium strain EHA105 cells, which were further used to transfer kiwifruit leaf discs. After G418 resistance screening, the G418‐resistant callus lines were retained and further analysed to identify mutations. The genomic DNA (gDNA) of resistant callus lines was also extracted for subsequent identification. To validate the T‐DNA insertions, the specific primers SP‐DL/SP‐R of the T‐DNA region were used in PCR amplification, which revealed that the T‐DNA region was successfully and efficiently inserted into the kiwifruit genome using the CRISPR/Cas9 and the PTG/Cas9 systems, respectively (Figure S3). PCR was performed using site‐specific primers (Table S1), and the PCR products were denatured and reannealed for the subsequent T7 endonuclease I (T7E1) assay. To precisely identify the mutations in the resistant callus lines, the PCR products were purified using a HiPure gel pure DNA mini kit (Magen, Guangzhou, China) and cloned using a pClone007 simple vector kit (TsingKe, Beijing, China), followed by validation of Sanger sequencing.
Mutagenesis frequencies at the sgRNA1 and sgRNA2 targets in G418‐resistant callus lines transferred with vectors A1 of the CRISPR/Cas9 and B1 of the PTG/Cas9 systems were examined. For both targets, 7.50% (9 of 120) positive clones contained fragments harbouring indels amplified from callus lines transferred with vector A1, and the ratio of positive clones in relation to vector B1 reached 90.83% (109 of 120) (Table S2). And approximately 8.33% (1 of 12) of the callus lines of A1 harboured indels (Table 1; Figure 3a), whereas 91.67% (11 of 12) of the callus lines of B1 were mutated (Table 1; Figure 3b). Additionally, 8.33% (1 of 12) and 83.33% (10 of 12) of the callus lines of A1 and B1, respectively, harboured indels at both sgRNA1 and sgRNA2 (Table 1; Figure 3a,b). Similarly, mutagenesis frequencies at the sgRNA3 and sgRNA4 targets (from A2 of the CRISPR/Cas9 and B2 of the PTG/Cas9 systems) were also estimated. 6.78% (19 of 280) positive clones associated with vector A2 and 73.84% (192 of 260) positive clones related to vector B2 attained amplified fragments harbouring indels (Table S2). No mutations were detected at sgRNA3 target of the callus lines transformed with A2, and 7.14% (2 of 28) of the callus lines transformed with A2 were mutated at the sgRNA4 target (Table 1; Figure 3c). In contrast, 76.92% (20 of 26) and 65.38% (17 of 26) of the B2 callus lines harboured indels at the sgRNA3 and sgRNA4 targets, respectively (Table 1; Figure 3d). No A2 callus line was edited at both sgRNA3 and sgRNA4 simultaneously, whereas 65.38% (17 of 26) of the B2 callus lines were edited at both sgRNA3 and sgRNA4 simultaneously (Table 1; Figure 1c,d). These results indicate that the CRISPR/Cas9 and the PTG/Cas9 systems can induce mutations in kiwifruit (Table 1; Figure 3).
Table 1.
Vector ID | sgRNA | Number of callus lines analysed | Number of mutated callus lines | Mutation frequency (%) |
---|---|---|---|---|
A1 | sgRNA1 | 12 | 1 | 8.33 |
sgRNA2 | 1 | 8.33 | ||
sgRNA1&sgRNA2 | 1 | 8.33 | ||
A2 | sgRNA3 | 28 | 0 | 0.00 |
sgRNA4 | 2 | 7.14 | ||
sgRNA3&sgRNA4 | 0 | 0.00 | ||
B1 | sgRNA1 | 12 | 11 | 91.67 |
sgRNA2 | 11 | 91.67 | ||
sgRNA1&sgRNA2 | 10 | 83.33 | ||
B2 | sgRNA3 | 26 | 20 | 76.92 |
sgRNA4 | 17 | 65.38 | ||
sgRNA3&sgRNA4 | 17 | 65.38 |
Interestingly, the mutagenesis frequencies at all four targets of the PTG/Cas9 system were about 10‐fold higher than those of the CRISPR/Cas9 system in kiwifruit (Table 1), indicating that the PTG/Cas9 system was more effective in achieving highly efficient site‐specific editing in kiwifruit than the CRISPR/Cas9 system. Additionally, the multiplex target editing efficiency of the PTG/Cas9 system was also 10‐fold greater than that of the CRISPR/Cas9 system (Table 1). In agreement with the findings of a previous report that tRNAs may function as transcriptional enhancers for the Pol III promoter (Xie et al., 2015), the relative expression levels of sgRNA1 and sgRNA2 in the PTG/Cas9 system were about 38‐ and 32‐fold higher than those in the CRISPR/Cas9 system, respectively (Figure S4a). Similarly, the relative expression levels of sgRNA3 and sgRNA4 in the PTG/Cas9 system were about 17‐ and 19‐fold higher than those in the CRISPR/Cas9 system, respectively (Figure S4b). We further found that different sgRNA targets in the same system had diverse editing frequencies, whereas sgRNA targets constructed into the same vector had similar editing frequencies (Table 1).
Chromosomal fragment deletion induced by paired‐sgRNA/Cas9 vector
To validate the capacity of the sgRNA/Cas9 system to induce chromosomal fragment deletion between two targets (sgRNA1‐sgRNA2/sgRNA3‐sgRNA4) in kiwifruit, we used the constructs A1/A2/B1/B2 to transform kiwifruit leaf discs as previously described. We used site‐specific PCR and subsequent Sanger sequencing to precisely identify chromosomal fragment deletion. We designed site‐specific primers (F1/R1 for A1/B1 and F2/R2 for A2/B2, Table S1) for PCR amplification. We successfully identified chromosomal fragment deletion through amplification of truncated PCR products for callus lines transformed with B1 and B2 (544 bp for B1 and 630 bp for B2, Figure 4a,b). However, no chromosomal fragment deletion was detected in the CRISPR/Cas9 system (A1 and A2). Sanger sequencing further revealed that fragments between two sgRNA targets were excised from the expected sites with or without additional indels for callus lines transformed with B1 or B2 (Figure 4c,d). The length of the fragment between sgRNA1 and sgRNA2 was 755 bp, and callus line #8 transformed with B1 harboured a 755‐bp deletion that occurred at the expected sites (Figure 4c). Similarly, a 271‐bp expected fragment deletion between sgRNA3 and sgRNA4 target was identified in callus line #5, which was transformed with B2 (Figure 4d). Approximately 16.67% (2 of 12) of the callus lines transformed with B1 and 3.84% (1 of 26) of the callus lines transformed with B2 harboured the expected chromosomal fragment deletion (Figure 4). Consequently, the paired‐sgRNA/Cas9 vector of the PTG/Cas9 system can successfully induce chromosomal fragment deletion in kiwifruit (Figure 4).
Albino phenotype induced by the sgRNA/Cas9 system in kiwifruit
After mutation detection using T7E1 array and Sanger sequencing, we retained mutant‐positive callus lines for subsequent regeneration. Figure 5a shows that after 4 weeks, albino leaves regenerated from mutation‐positive callus lines transformed with A1/A2/B1/B2, similar to that observed in other plants (Shan et al., 2013). This finding indicates that both the CRISPR/Cas9 and the PTG/Cas9 systems can successfully induce albino phenotypes in kiwifruit (Figure 5a). To precisely determine the mutation responsible for this specific phenotype, gDNA was extracted from the albino leaves, and target regions were amplified using site‐specific primers (F1/R1 for sgRNA1/sgRNA2 and F2/R2 for sgRNA3/sgRNA4, Table S1), followed by sequencing of the resulting PCR products. For the sgRNA1 and sgRNA2 targets, no mutation was identified in the wild‐type plantlets that did not express the albino phenotype, whereas a 1‐bp insertion (the sgRNA1 target) and 1‐bp deletion (the sgRNA2 target) were identified in the albino young leaves that regenerated from callus lines transformed with A1, and an 11‐bp (the sgRNA1 target) and 3‐bp deletion (the sgRNA2 target) were identified in the albino young leaves regenerated from callus lines transformed with B1 (Figure 5a,b). For the sgRNA3 and sgRNA4 targets, no mutation was identified in the wild‐type plants, whereas a 1‐bp insertion (the sgRNA4 target) was identified in the young albino leaves that regenerated from the callus lines that were transformed with A2, and 8‐bp deletions (sgRNA3 and sgRNA4 targets) were identified in the young albino leaves regenerated from callus lines that were transformed with B2 (Figure 5a,c). Our results revealed that the albino phenotype in kiwifruit can be precisely induced by site‐specific genome editing using both the CRISPR/Cas9 and the PTG/Cas9 systems.
Off‐target analysis
To perform the off‐target analysis, we used the online tool Cas‐OFFinder (http://www.rgenome.net/cas-offinder/) to predict the potential off‐target sites of four sgRNAs, leading to four putative off‐target sites that were identified for further analysis (Table 2). All PCR products amplified from gDNA of all kiwifruit G418‐resistant callus lines using specific primers (OT1‐4, Table S1) were cloned and sequenced. No mutation was found in any putative off‐target sites in all callus lines selected (Table 2).
Table 2.
Target | Off‐target sites | Putative off‐target sequences | Putative off‐target loci | Number of examined lines | Number of lines with off‐targets |
---|---|---|---|---|---|
gRNA1 | 1 | tAGGTCTtTCCCATCAAGAT | Chr23: ‐318123 | 78 | 0 |
2 | ACTCGATGGAcGAaGATATA | Chr23: ‐307000 | 78 | 0 | |
gRNA3 | 3 | ATGGgTTAACTGTTAAAGAC | Chr23: ‐306730 | 78 | 0 |
gRNA4 | 4 | ATGGTTTAACTGTTtgAGAC | Chr28: ‐392519 | 78 | 0 |
Discussion
Recently, the CRISPR/Cas system has been successfully applied in site‐specific genome editing in diverse taxa in both prokaryotes and eukaryotes (Doench et al., 2016; Dow et al., 2015; Kleinstiver et al., 2016; Makarova et al., 2011; Shan et al., 2013). This system had been modified to precisely control gene transcription, including transcriptional activation and repression (Chavez et al., 2015; Kiani et al., 2014, 2015), and it is considered a robust and versatile toolkit for functional genomic research, including crop improvement and molecular breeding in plants (Komor et al., 2016). Our application of the CRISPR/Cas9 system in the genus Actinidia will broaden its applications to the plant kingdom and improve functional genomic research and germplasm enhancement in Actinidia.
A previous research described a method for paired‐sgRNA cloning (Vidigal and Ventura, 2015). This strategy requires the synthesis of a 110‐bp DNA oligo and two primers (Vidigal and Ventura, 2015). In the present study, we developed a new strategy for paired‐sgRNA cloning, which just requires the synthesis of two sgRNA‐containing primers (Figure 2). Comparatively, the cost of synthesizing the 110‐bp DNA oligo was about sevenfold higher than that of synthesizing two sgRNA‐containing primers. Moreover, our strategy did not include the step of Gibson ligation and only comprised two steps of PCR and ligation (Figure 2), resulting into a time‐saving process of cloning sgRNA pairs. Although the earlier method mentioned was more suitable for high‐throughput vector construction on the basis of a pair of universal primers, our strategy with two sgRNA‐containing primers was simpler and cheaper which are more useful for paired‐sgRNA cloning in site‐specific genomic editing (Figure S2).
To evaluate the performance of the CRISPR/Cas system in kiwifruit, we compared the editing efficiencies of both the CRISPR/Cas9 and the PTG/Cas9 systems. We observed that the PTG/Cas9 system offers a 10‐fold higher target‐editing efficiency than that of the CRISPR/Cas9 system (Table 1). Our results were also in agreement with the findings of the previous report, in which the PTG/Cas9 system was shown to be more efficient than the CRISPR/Cas9 system in rice (Xie et al., 2015). The relatively high efficiency of the PTG/Cas9 system may be attributable to the transcriptional enhancer in the tRNA sequence (Xie et al., 2015). In rice, the relative expression of sgRNAs in the PTG/Cas9 system was higher than that in the CRISPR/Cas9 system, which indicates that transcriptional enhancement is induced by tRNA (Xie et al., 2015). In our study, we estimated the relative expression of sgRNAs in both the CRISPR/Cas9 and the PTG/Cas9 systems, which revealed that the expression level of all four sgRNAs in the PTG/Cas9 system was higher than those in the CRISPR/Cas9 system, further supporting the hypothesis that tRNA may function as a transcriptional enhancer of the Pol III promoter (Figure S4).
For multiplex target editing in kiwifruit, the efficiency of the PTG/Cas9 system was also higher than that of the CRISPR/Cas9 system (Table 1). Moreover, chromosomal fragment deletions induced by paired‐sgRNA/Cas9 vectors of the PTG/Cas9 system were detected (Figure 4). No chromosomal fragment deletion was induced by the paired‐sgRNA/Cas9 vectors of the CRISPR/Cas9 system, which may have been caused by the inefficient site‐specific editing at each target (Table 1). A previous study showed that fragment deletion efficiency is negatively correlated with the distance between two paired cut sites (Xie et al., 2015); however, our results were contrary to this finding (Figure 4), in which a closer distance between two paired sites showing a relatively higher fragment deletion efficiency, suggesting a positive relationship. This discordance may be attributable to the context of the sgRNAs and neighbouring genomic sequence (Doench et al., 2016), leading to the likelihood of species‐dependent outcomes. The different DNA cleavage efficiency at both target sites is also possibly related it. In grape, variation in mutation frequency among four targets seems to result in different frequency of large deletions between them (Wang et al., 2017b). Accumulating more data is definitely needed to identify the key factors determining the efficiency of large fragment deletion.
Historically, the kiwifruit breeding is mainly limited by the direct or indirect selections from natural populations in the wild, which was resource‐ and time‐consuming (Liu et al., 2010). The utilizations of genomic data for kiwifruit germplasm creation or cultivar improvement, however, are less carried out. In crops, the CRISPR/Cas9 system has become into a powerful tool for crop improvement and molecular breeding, such as the simultaneous editing of three homoeoalleles in hexaploid bread wheat confers broad‐spectrum resistance to powdery mildew (Wang et al., 2014), and a recent study engineering quantitative trait variation by genome editing in tomato (Rodríguez‐Leal et al., 2017). In rice, the CRISPR/Cas9‐based screening of mutant library is greatly accelerating its research and breeding (Lu et al., 2017; Wang et al., 2017a). The highly efficient, robust and precise genome editing capacity of the CRISPR/Cas9 system presented here therefore encourages us to broaden its application to genomic research and molecular breeding in kiwifruit, including systematically identifying both functional genes and mutant phenotypes in future.
Experimental procedures
Construct modification for rapid paired‐sgRNA cloning
For the rapid paired‐sgRNA cloning strategy, the sgRNA intermediate construct and Cas9 binary construct were modified. For the CRISPR/Cas9 system, the sgRNA intermediate construct was the vector pYLsgRNA‐AtU6‐1 (Ma et al., 2015), and the Cas9 binary construct was modified as follows. Fragment 1 containing the AtU6‐1 promoter and two BsaI sites was amplified from vector pYLsgRNA‐AtU6‐1 using the primers U6‐1‐F and U6‐1‐R‐C (Table S1), and Fragment 2 containing two BsaI sites, the sgRNA scaffold and the Pol III terminator was amplified from vector pYLsgRNA‐AtU6‐1 using primers GF and GR (Table S1). Fragment 1, fragment 2 and pYLCRISPR/Cas9P35S‐N linearized with AscI were fused to form the Cas9 binary vector pHLW‐sgRNA‐Cas9‐AtU6‐1 using a pEASY‐Uniseamless cloning and assembly kit (Transgen, Beijing, China). For the PTG/Cas9 system, the sgRNA intermediate vector was pHLW‐sgRNA‐tRNA, and the Cas9 binary vector was pPTG‐sgRNA‐Cas9‐AtU6‐1, which were modified based on vectors pYLsgRNA‐AtU6‐1 and pYLCRISPR/Cas9P35S‐N, respectively. For vector pHLW‐sgRNA‐tRNA, a 177‐bp DNA oligo containing a BamHI site, the sgRNA scaffold, tRNAGly and a HindIII site was synthesized and inserted into vector pYLsgRNA‐AtU6‐1 that was linearized with BamHI and HindIII. Fragment 3 containing the AtU6‐1 promoter was amplified from the vector pYLsgRNA‐AtU6‐1 using primers U6‐1‐F and U6‐1‐R (Table S1). Fragment 4 containing the tRNAGly and a BsaI site was amplified from the vector pHLW‐sgRNA‐tRNA using primers TF and TR (Table S1). Fragment 5, which contained two BsaI sites, the sgRNA scaffold and the Pol III terminator, was amplified from the vector pYLsgRNA‐AtU6‐1 using primers GF and GR (Table S1). Fragments 3, 4 and 5 and pYLCRISPR/Cas9P35S‐N linearized with AscI were fused to form the Cas9 binary vector pPTG‐sgRNA‐Cas9‐AtU6‐1 using a pEASY‐Uniseamless cloning and assembly kit (Transgen, Beijing, China).
Paired‐sgRNA cloning and paired‐sgRNA/Cas9 expression vector construction
To test the efficiency of the CRISPR/Cas system in kiwifruit, we designed four sgRNAs targeting the AcPDS gene, namely, sgRNA1 to sgRNA4. Every two targets were cloned into a single Cas9 binary vector to construct paired‐sgRNA/Cas9 binary vectors. The fragment containing the first BsaI site, sgRNA1, the AtU6‐1 promoter, sgRNA2 and the second BsaI site was amplified from pYLsgRNA‐AtU6‐1 using primers crispr‐sgRNA1‐F and crispr‐sgRNA2‐R and inserted into vector pHLW‐sgRNA‐Cas9‐AtU6‐1 that was linearized with BsaI to construct vector A1 of the CRISPR/Cas9 system (Table S1; Figure 1b). Similarly, vector A2 containing sgRNA3 and sgRNA4 of the CRSIPR/Cas9 system was constructed using primers crispr‐sgRNA3‐F and crispr‐sgRNA4‐R (Table S1; Figure 1b). The fragment containing the first BsaI site, sgRNA1, tRNAGly, sgRNA2 and the second BsaI site was amplified from pHLW‐sgRNA‐tRNA using primers ptg‐sgRNA1‐F and ptg‐sgRNA2‐R and inserted into vector pPTG‐sgRNA‐Cas9‐AtU6‐1 that was linearized with BsaI to construct vector B1 of the PTG/Cas9 system (Table S1; Figure 1b). Similarly, vector B2 containing sgRNA3 and sgRNA4 of the PTG/Cas9 system was constructed using primers ptg‐sgRNA3‐F and ptg‐sgRNA4‐R (Table S1; Figure 1b).
Kiwifruit tissue culture and Agrobacterium‐mediated transformation
Kiwifruit tissue culture was performed as previously described (Akba and Namli, 2009; Yuan, 2011). The leaf discs of kiwifruit cultivar Hongyang were used for tissue culture and Agrobacterium‐mediated transformation. The high‐efficiency transformation platform for kiwifruit was also previously constructed (Wang et al., 2010). Plantlets regenerated from calli under G418 screening were grown in a tissue culture room with 12‐h light/12‐h dark conditions at 26 °C.
Mutation detection
Genomic DNA was extracted from kiwifruit G418‐resistant callus lines and regenerated plants using the cetyltrimethyl ammonium bromide (CTAB) method (Murray and Thompson, 1980). To validate T‐DNA insertions, specific primers SP‐DL/SP‐R of the T‐DNA region were used in PCR amplification (Ma et al., 2015). The target‐specific primers (F1/R1 for sgRNA1/2 and F2/R2 for sgRNA3/4; Figure 1a) were used in the amplification of fragments containing the sgRNA targets. The PCR products were cloned into the pClone007 vector using a pClone007 simple vector kit (TsingKe, Beijing, China). The ligated products were transformed into Escherichia coli strain DH5α cells, and 10 positive clones were selected for Sanger sequencing. The DNAMAN software (version 4.0; Lynnon Corporation, Canada) was used for alignment analysis. The mutation efficiencies were examined as a ratio of callus lines with mutation. The fragments encompassing each target were separately amplified using the appropriate primers (Table S1). About 500 ng of the respective PCR product was used for the T7E1 array using T7 endonuclease I (NEB, Ipswich) according to the manufacturer's instruction. After the T7E1 array, the reaction products were analysed by 1.5% agarose gel electrophoresis.
Off‐target analysis
All kiwifruit G418‐resistant callus lines used for mutation detection were also used for off‐target analysis. The potential off‐target sites of four sgRNAs were predicted using the online tool Cas‐OFFinder (http://www.rgenome.net/cas-offinder/), and four potential off‐target sites were retained (Table 2). Specific primers were designed and used for the further off‐target analysis (Table S1). The amplified products were cloned, and 10 positive clones were selected for Sanger sequencing. The alignment analysis was also performed using the DNAMAN software.
RNA extraction, reverse transcription PCR and quantitative PCR
To validate the relative expression of four sgRNAs of both the CRISPR/Cas9 and the PTG/Cas9 systems in kiwifruit, we designed four pair primers (sgRNA1‐F/sgRNA‐R, sgRNA2‐F/sgRNA‐R, sgRNA3‐F/sgRNA‐R and sgRNA4‐F/sgRNA‐R) using the online software Primer3Plus, which were then synthesized commercially (Sangon Biotech Co., Ltd., Shanghai, China) (Table S1). RNA was extracted from callus lines transformed with A1/A2/B1/B2 using HiPure plant RNA kits (Magen, Guangzhou, China). The cDNA was prepared from all samples using a one‐step gDNA removal and cDNA Synthesis SuperMix Kit (TransGen, Beijing, China) and was then used as the input for quantitative PCR (qPCR) experiments. Each qPCR was performed in a total volume of 20 μL, containing 10 μL of Tip Green qPCR SuperMix (TransGen, Beijing, China), 0.2 μm of each primer, 1 μL of 1 : 5 diluted cDNA and 8.2 μL ddH2O. Thermal cycling consisted of a hold at 94 °C for 30 s, followed by 40 cycles of 94 °C for 5 s and 60 °C for 30 s. The temperature was then gradually raised by 0.5 °C every 10 s for performing melting curve analysis. Each sample was amplified in triplicate, and all qPCRs were performed on a LightCycler 480 system (Roche, Basel, Switzerland). The ΔΔCt method was employed with Achn107181 (kiwifruit actin gene) and Achn381211 (protein phosphatase 2A, PP2A‐like gene) as endogenous controls (Petriccione et al., 2015).
Conflict of interest
The authors declare that they have no competing interests.
Author contributions
HH and YL directed the study. ZW and YL designed the experiments. LL, DL and CZ contributed to sample and tissue collection. ZW and SW performed the tissue culture and mutation identification. ZW, YL, QZ and SW performed the data processing. ZW performed the quantitative RT‐PCR experiments. ZW and YL drafted the manuscript. All authors approved the final draft.
Supporting information
Acknowledgements
We thank Professor Yaoguang Liu (South China Agricultural University) for providing the sgRNA intermediate vector pYLsgRNA‐AtU6‐1 and Cas9 binary vector pYLCRISPR/Cas9P35S‐N. We also thank Li Jiang (South China Botanical Garden, Chinese Academy of Sciences) for providing assistance and helpful comments during the molecular experiments. This work was supported by the National Natural Science Foundation of China (31471847 and 31572092), and the Science and Technology Service Network Initiative of the Chinese Academy of Sciences (KFJ‐EW‐STS‐076).
Contributor Information
Yifei Liu, Email: liuyifei@scbg.ac.cn.
Hongwen Huang, Email: huanghw@scbg.ac.cn.
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