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Functional disruption of cell wall invertase inhibitor by genome editing increases sugar content of tomato fruit without decrease fruit weight

Production of cell wall INVINH knock-out tomato

Two genes encoding cell wall INVINHs, SlINVINH1 (Solyc12g099200) and SlINVINH2 (Solyc12g099210), are present in the genome of tomato Solanum lycopersicum ‘Heinz 1706’ (Sol Genomics Network, https://solgenomics.net/). SlINVINH1 and SlINVINH2 have high sequence homology with each other at both the nucleotide and amino acid levels, and both genes consist of two exons and one intron. SlINVINH1 and SlINVINH2 are tandemly present in the tomato genome, and the distance between them is only 3,809 bp (Fig. 1a). Therefore, these two genes may have appeared due to gene duplication. The expression level of SlINVINH2 shown by the Tomato eFP browser (http://bar.utoronto.ca/efp2/Tomato/Tomato_eFPBrowser2.html, 28) was lower in all organs and tissues. A study reported that specific silencing of SlINVINH1 increased hexose levels in tomato fruits11. Therefore, we considered that SlINVINH2 is a pseudogene or does not play an important role in tomato fruit. To be sure, we selected three consensus sequences between SlINVINH1 and SlINVINH2 as target sequences for CRISPR/Cas9 and Target-AID, expecting knock-out of not only SlINVINH1 but also of SlINVINH2 (Fig. 1a,d). The efficiency of mutations by CRISPR/Cas9 was reported to depend on the target sequence29. In this study, two target sequences in the first exon (Target 1 and Target 2) and one target sequence in the second exon (Target 3), a total of three target sequences were used for multiplex genome editing (Fig. 1a,d). The proline-lysine-phenylalanine (PKF) motif in INVINH competes with sucrose in the binding site of INV; thus, the PKF motif in INVINH is important for the inhibition of INV activity6. Target 1 and Target 2 exist upstream of the PKF motif (Fig. 1a); therefore, the mutation in Target 1 or Target 2 can lead to loss of function of INVINH.

Figure 1
figure1

Schematic diagram of CRISPR/Cas9 and Target-AID target sites in SlINVINHs and vector construction. (a) Position of SlINVINH1, SlINVINH2 and three guide RNA targets in SlINVINHs. Boxes indicate exons. The black arrowhead indicates the PKF (proline-lysine-phenylalanine) motif. (b) Schematic map of the CRISPR/Cas9 vector, and (c) Target-AID vector. RB: right border. LB: left border. U6pro: AtU6-26 promoter. gRNA: guide RNA. PcUbi: Petroselinum crispum ubiquitin promoter. Cas9: Streptococcus pyogenes Cas9 gene. nCas9: nickase Cas9 gene. PmCDA1: Petro myzontiformes cytidine deaminase 1 gene. PeathreeAter: 3A terminator. 35S pro: Cauliflower mosaic virus 35S promoter. NPTII: Kanamycin resistance gene. Hspter: heat shock protein gene terminator. (d) Sequences of the three targets. The PAM sequences (NGG) are underlined.

To produce SlINVINH knock-out tomato lines, cotyledon explants of tomato ‘Suzukoma’ were transformed with Agrobacterium tumefaciens GV2260 harbouring CRISPR/Cas9 vector (Fig. 1b, Fig. S1) or Target-AID vector (Fig. 1c, Fig. S2). Gene transformation in the differentiated shoots from callus was checked by PCR, and only transformants were selected. Tomato frequently produces polyploid plants during de-differentiation and differentiation processes. Therefore, ploidy of the transformants was confirmed, and only diploid plants were selected. Furthermore, considering the selection efficiency of vector-free plants (null segregant plants) in the next generation, the copy number of the transformed gene was determined by qPCR, and only transformants with single copy transformed gene were selected.

Mutation patterns in SlINVINH1 by CRISPR/Cas9 or Target-AID

The mutation pattern of SlINVINH1 by CRISPR/Cas9 or Target-AID was confirmed by direct sequencing of SlINVINH1 in the transformants. Therefore, five transformants by CRISPR/Cas9 and eight transformants by Target-AID, which have nucleotide(s) insertion or deletion in the exon of SlINVINH1, were obtained. These transformants (T0 generation) were self-pollinated and T1 seeds were obtained. Among the T1 plants, null segregants with homozygous mutations in SlINVINH1 were selected.

In the CRISPR/Cas9 genome-edited lines, nucleotide(s) insertion or deletion at 3 bp downstream from the Proto-spacer Adjacent Motif (PAM) sequence occurred frequently, such as the adenine insertion 3 bp downstream of the PAM sequence of Target 1 in line 247–2 (Fig. 2). This trend was consistent with the report by Jinek et al.21, which shows that the mutations by CRISPR/Cas9 occurred frequently around 3 bp downstream of the PAM sequence.

Figure 2
figure2

Mutations in SlINVINH1 of the genome edited lines. Target sequence in original cultivar ‘Suzukoma’ is shown at the top in each panel and the sequence in three genome edited lines (193–3, 199–2, and 247–2) are shown below. Grey shade indicates PAM sequence. Red shade, blue shade or red small letter show insertion, deletion, or substitution of nucleotide(s), respectively.

In contrast, in the genome-edited lines by Target-AID using nCas9, insertion or deletion at 3 bp downstream of the PAM sequence, but also substitution of cytosine around 18 bp downstream of PAM sequence occurred frequently, such as the substitution from cytosine to guanine of Target 1 in line 193–3 (Fig. 2). This trend was consistent with the report by Nishida et al.26, where mutations by Target-AID using nCas9 occurred frequently around 3 bp downstream of the PAM sequence and at 15–19 bp downstream from the PAM sequence.

Phenotyping of the SlINVINH1 knock-out tomato

In 13 of the genome-edited lines (T1 generation), which are null segregants with homozygous mutations in SlINVINH1, fruit weight and soluble solid content (SSC) of mature fruit were measured. Although the SSC average was higher in the genome-edited lines than the original cultivar ‘Suzukoma’ (Fig. S3a), fruit weight differed among the genome-edited lines (Fig. S3b). From the 13 genome-edited lines, three lines (193–3, 199–2, and 247–2), whose SSC average was higher than ‘Suzukoma’ and fruit weight almost equal to ‘Suzukoma’ (Fig. S3) were selected for further analysis.

Overall plant growth and visual vegetative phenotype of the three selected genome-edited lines (T2 generation) showed no difference compared with the original cultivar (Fig. 3). On comparison with ‘‘Suzukoma’, lines 193–3, 199–2, and 247–2 showed 37.6%, 14.5%, and 21.4% significantly higher SSC, respectively (Fig. 4a), while no significant difference, 13.7% significantly lower, and no significant difference in fruit weight was observed, respectively (Fig. 4b). Thus, we succeeded in producing tomato lines with high sugar content (193–2 and 247–2) without a decrease in fruit weight and deterioration of plant growth. These results indicate that knock-out of SlINVINH1 by genome editing is an effective approach to produce high-sugar content tomato cultivars.

Figure 3
figure3

Phenotypes of the SlINVNH1 genome edited lines. (a) Visual vegetative phenotype of original cultivar ‘Suzukoma’ and the SlINVINH1 genome edited lines (193–3, 199–2, and 247–2). Scale bar = 15 cm. (b) Fruits at mature stage from ‘Suzukoma’ and the SlINVINH1 genome edited lines. Scale bar = 1 cm.

Figure 4
figure4

SSC and weight of fruits from the SlINVINH1 genome edited lines. (a) SSC of fruits at mature stage from original cultivar ‘Suzukoma’ and the SlINVINH1 genome edited lines (193–3, 199–2, and 247–2). Error bars indicate standard error for 15 fruits from 5 plants. An asterisk indicates a significant difference (Dunnett’s test, *P < 0.05; **P < 0.01). (b) Fruit weight at mature stage from original cultivar ‘Suzukoma’ and the SlINVINH1 genome edited lines (193–3, 199–2, and 247–2). Error bars indicate standard error for 15 fruits from 5 plants. An asterisk indicates a significant difference (Dunnett’s test, *P < 0.05).

Mutation patterns of SlINVINH1 and SlINVINH2 in the three genome-edited lines (193–3, 199–2, and 247–2) are shown in Fig. 2 and Figure S4, respectively. As described above, frameshift mutations presumably lead to loss of function in SlINVINH1 in the three lines (Fig. 2), and in SlINVINH2 in lines 199–2 and 247–2 (Fig. S4). Only base substitution occurred in SlINVINH2 in line 193–3, in which SSC of mature fruit was the highest among the three lines. These results reinforce our hypothesis that SlINVINH2 does not play an important role, and the knock-out of only SlINVINH1 is sufficient to increase the sugar content of tomato fruit.

Knock-down of SlINVINH1 by RNAi technology in tomato increases the hexose content of fruits11. Among the three genome-edited lines (193–3, 199–2, and 247–2), two lines (193–3 and 247–2) showed significantly higher fructose and glucose content in mature fruits than the original cultivar ‘Suzukoma’ (Fig. 5). The mature fruits of line 193–3 showed the highest sugar content in mature fruit with fructose and glucose contents 29% and 36% higher than ‘Suzukoma’, respectively (Fig. 5). The increase in hexose content of the SlINVINH1 genome-edited lines might have been caused by higher sucrose hydrolysis in the apoplast of fruits by retention of high cell wall INV activity, as reported in earlier studies11.

Figure 5
figure5

Sugar content of fruits from the SlINVINH1 genome edited lines. Sucrose, glucose and fructose content in mature fruits from original cultivar ‘Suzukoma’ and the SlINVINH1 genome edited lines (193–3, 199–2, and 247–2). Error bars indicate standard error for 15 fruits from 5 plants. An asterisk indicates a significant difference (Dunnett’s test, *P < 0.05; **P < 0.01).

Transcript level of SlINVINH1 and mutation in the SlINVINH1 transcript

To determine the transcript level of SlINVINH1 in the genome-edited lines, quantitative RT-PCR analysis of SlINVINH1 was performed using RNA from mature fruit, which showed high SlINVINH1 expression. Therefore, the transcript level of SlINVINH1 decreased in the genome-edited lines compared to the original cultivar ‘Suzukoma’. However, the difference in SlINVINH1 transcript levels between the genome-edited lines and ‘Suzukoma’ was not significant (Fig. S5). This was expected because the target sequences of genome editing were chosen in the coding region of SlINVINH1, but not in the promoter region.

To prove that the transcript of SlINVINH1 lost its function in the genome-edited lines, the sequence of the SlINVINH1 transcript was determined. Similar patterns of insertions, deletions, and substitutions, which were found in the genome of the genome-edited lines (Fig. 2), were found in the SlINVINH1 transcripts of the genome-edited lines (Fig. S6), indicating that SlINVINH1 mRNA lost its function. This result supported that the phenotypic effect was due to genome editing of the SlINVINH1 gene.

Off-target mutation analysis of the SlINVINH1 knock-out tomato

Genome editing by CRISPR/Cas9 can induce off-target mutations as well as in the sequences similar to those of the target sequence29. Therefore, to confirm the presence of any off-target mutations in the genome-edited lines (193–3, 199–2, and 247–2), whole genome sequencing was performed and the sequences with mismatches of three bases or less with the target sequences (Target 1, Target 2, and Target 3) in the tomato genome were checked. Therefore, no off-target mutations were found in the SlINVINH1 genome-edited lines in the checked sequences (Table S1).

Non-target metabolome analysis of the SlINVINH1 knock-out tomato

To evaluate the fruit quality of the SlINVINH1 knock-out tomato, non-target metabolome analysis was performed using GC-TOF/MS and fruit metabolites between the SlINVINH1 genome editing line 193–3 and the original cultivar ‘Suzukoma’ were compared. Metabolome analysis revealed 148 metabolite peaks, including unidentified peaks. Among them, 76 metabolites were identified, and 19 metabolite levels, including fructose, glucose, and sucrose levels, were significantly different between the genome-edited line and the original cultivar ‘Suzukoma’. The relative abundance of the 19 metabolites were 0.51–4.01 fold-change (Table S2). Among the 16 metabolites, excluding fructose, glucose, and sucrose, 10 metabolites significantly increased and 6 metabolites significantly decreased in the genome-edited line compared to the original cultivar (Table S2). Metabolites, such as Trehalose, glucose-6-phosphate, isomaltose, and myo-inositol were found to increase in the genome-edited line. These metabolites are synthesised from glucose. Therefore, the higher glucose levels may have increased the biosynthesis of these metabolites in the genome-edited line (Fig. 5). Two amino acids (asparagine and glutamine) and one organic acid (malic acid) were found to be the decreased metabolites in the genome-edited line. Although the reason for the decrease in these metabolites is unclear, the taste of tomato fruits may be affected because these metabolites are associated to taste30,31. No unexpected metabolite peak appeared in the genome-edited line, indicating that no unexpected metabolite accumulated in the fruits of the genome-edited line.

The metabolome data obtained were subjected to variable standardisation and principal component analysis (PCA). In the PCA score scatter plot, SlINVINH1 genome-edited line 193–3 and original cultivar ‘Suzukoma’ were separated in the direction of the first principal component axis (Fig. 6a). In the PCA loading scatter plot, fructose was found to have the highest loading factor (80.2%) and the other metabolites had a low loading factor (less than 30%) in the first principal component separation (Fig. 6b). These results show that fructose was the highest contributing factor for principal component separation between SlINVINH1 genome edited line 193–3 and ‘Suzukoma’.

Figure 6
figure6

Principal component analysis (PCA) of metabolites in mature fruits from the SlINVINH1 genome edited line. Metabolite levels in mature fruits obtained from original cultivar ‘Suzukoma’ and the SlINVINH1 genome edited line (193–3) were determined by GC-TOF/MS. (a) Score scatter plot of the PCA. Black symbol indicates ‘Suzukoma’ and red symbol indicate the SlINVINH1 genome edited lines (n = 5 for each sample). (b) Loading scatter plot of the PCA analysis (n = 148 metabolite peaks). Numbers indicate unknown peak of metabolites.

Approaches to produce high sugar content tomato

For the production of tomato with high sugar content, two approaches, including breeding and cultivation, have been applied.

Under cultivation approach, water stress and salt stress have been applied to tomato cultivation to increase starch accumulation in fruit at an early developmental stage32 and to induce the concentration effect of metabolites in fruit at a later developmental stage33. However, the application of water stress or salt stress induces cracking of fruit and blossom-end rot. Therefore, a high cultivation technique to control water status and labour for this control is necessary for such cultivation. The most serious disadvantage of water stress or salt stress in cultivation to produce high sugar content tomato is a large decrease in fruit weight34, with more than 50% decrease in some cases. However, in the case of SlINVINH1 genome-edited tomato, no high cultivation technique and labour are necessary, and there was no decrease in fruit weight (Fig. 4b).

Cross breeding and mutation breeding have been performed as breeding approaches. By gamma ray irradiation, the mutant of tomato dwarf cultivar ‘Micro-Tom’, whose SSC in fruit is four degrees higher than the original cultivar, was screened35. Among the introgression lines of S. lycopersicum ‘M82’ containing chromosome fragments of the wild tomato species S. pennellii, the lines with higher sugar content in the fruit were screened35. Later, cell wall INV37,38 and ADP-glucose pyrophosphorylase (AGPase)39 from S. pennellii were identified as the genes responsible for high sugar content of the introgression lines.

Transgenic technology has also been used to produce tomato cultivars with high sugar content. Introduction of the apple hexose transporter gene (MdHT2.2)40 or peach sucrose non-fermenting-1-related protein kinase 1 gene (SnRK1)41 into tomato increased the sugar content of fruit. Overexpression of the tomato phosphoenolpyruvate carboxykinase gene (SlPEPCK)42 or auxin response factor 10 gene (SlARF10)43 also promoted sugar accumulation in fruits.

Advantages of the SlINVINH1 knock-out tomato

Jin et al.11 reported an increase in the hexose content of tomato fruit by knock-down of SlINVINH1 using RNAi technology. In this study, we succeeded in producing tomatoes with high sugar content by knock-out of SlINVINH1 using genome editing technology, without deterioration in plant growth and decrease in fruit weight. The SlINVINH1 knock-out tomato can produce high sugar content fruit without a high cultivation technique that needs control water and labour. These characteristics of the SlINVINH1 knock-out tomato show that it can be a useful high sugar content tomato cultivar, and the knock-out of SlINVINH1 by genome editing technology is an effective approach to produce them.

To sell genome-edited crops on the market, it is necessary to provide sufficient and reliable information to consumers. In this study, we confirmed that the SlINVINH1 knock-out tomato lines are transgene-free and free of off-target mutations using whole genome sequencing. In addition, to confirm metabolome equivalence between the genome-edited line and the original cultivar, non-target metabolome analysis was performed. Therefore, although the levels of 19 metabolites, including fructose, glucose, and sucrose, were significantly different between the genome-edited line and the original cultivar ‘Suzukoma’, the differences were not so large, and no unexpected metabolite accumulation appeared in the genome-edited line. These data may help consumers accept genome-edited tomatoes.

In this study, we succeeded in producing high sugar content tomato by knock-out of cell wall INVINH using genome editing technology. Cell wall INVINH is highly conserved among various plant species. Hence, knock-out of cell wall INVINH by genome editing can increase the sugar content of various other fruits, and this technology is expected to be widely used in breeding to produce high sugar content fruit crops.

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