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Multiplex Gene Editing and Effect Analysis of Yield, Fragrance, and Blast Resistance Genes in Rice

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12 December 2025

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15 December 2025

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Abstract

Background: The coordinated improvement of yield, quality and resistance is a primary goal in rice breeding. Gene editing technology is a novel method for precise multiplex gene improvement. Methods: In this study, we constructed a multiplex CRISPR/Cas9 vector targeting yield-related genes (GS3, OsPIL15, Gn1a), fragrance gene (OsBADH2), and rice blast resistance gene (Pi21) to pyramid traits for enhanced yield, quality, and disease resistance in rice. A tRNA-assisted CRISPR/Cas9 multiplex gene editing vector, M601-OsPIL15/GS3/Gn1a/OsBADH2/Pi21-gRNA, was constructed. Genetic transformation was performed via Agrobacterium-mediated method. Mutation editing efficiency was detected in T0 transgenic plants. Grain length, grain number per panicle, 2-acetyl-1-pyrroline (2-AP) content, and rice blast resistance of homozygous lines were measured in the T2 generations. Results: Effectively edited plants were obtained in the T0 generation. The simultaneous editing efficiency for all five genes reached 9.38%. The individual gene editing efficiencies for Pi21, GS3, OsBADH2, Gn1a, and OsPIL15 were 78%, 63%, 56%, 54%, and 13%, respectively. Five five-gene homozygous edited lines with two genotypes were selected in the T2 generation. Compared with the wild-type (WT), the edited homozygous lines showed increased grain length (2.46%–8.62%), increased grain length-width ratio (3.31%–5.67%), increased grain number per panicle (14.47%–27.11%), a 42–64 folds increase in the fragrant substance 2-AP content, and significantly enhanced rice blast resistance. Meanwhile, there were no significant changes in other agronomic traits. Conclusions: CRISPR/Cas9-mediated multiplex gene editing technology enabled the simultaneous editing of genes related to rice yield, quality, and disease resistance. This provides an effective approach for obtaining new japonica rice germplasm with blast resistance, long grains, and fragrance.

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1. Introduction

Rice (Oryza sativa L.) is one of the world’s most important food crops. Global rice cultivation area exceeds 160 million hectares, supplying staple food for 3.5 billion people. However, population growth, the reduction of arable land, and intensifying climate change are presenting rice production with unprecedented challenges. Addressing biotic and abiotic stresses to ensure rice yield and meet food demand is currently crucial, as is improving rice quality to satisfy demand for high-quality agricultural products.
Rice yield is a complex trait influenced by various factors and genes [1]. Key factors affecting rice yield formation include grain number per panicle and grain weight, while grain size is a critical trait that not only affects grain weight, but also appearance quality [2]. Several quantitative trait loci (QTLs) that regulate grain size have been reported, such as GW2 [3], CLG1 [4], DEP1 [5], MOG1 [6] and OsMKK4 [7,8]. Loss-of-function mutations in the grain size regulatory genes GS3 and GW5 can significantly increase the grain length-width ratio [9,10]. OsPIL15 knockout lines can increase grain size and weight [11]. The Gn1a gene primarily regulates grain number per panicle in rice. Lower expression of Gn1a leads to cytokinin accumulation, which promotes the division and differentiation of panicle cells, thereby increasing grain number per panicle [12]. Fragrance has become an important quality indicator of high-quality rice and a key trait for achieving high added value. The aromatic character is primarily due to the accumulation of 2-acetyl-1-pyrrolidine (2-AP), the synthesis of which is regulated by the OsBADH2 gene [13]. The enzyme activity encoded by OsBADH2 decreases or disappears in mutant plants, leading to the accumulation of 2-AP in rice and affecting its fragrance [14]. Thus, rice with slender grains and rich aroma is highly favored by consumers. However, rice also faces different biotic and abiotic stresses during its growth, which is also an important focus in the study of rice yield and quality regulation mechanisms. The biotic stress factors often severely restrict rice yield potential. Among them, the rice blast, known as the “number one killer” of rice, caused 10-30% yield loss globally every year. Rice blast is a disease caused by filamentous fungi that can occur throughout the entire growth period of rice, causing significant economic losses if severe. The rice blast resistance gene was identified within the QTL Pi21, and the loss of function of the Pi21 gene in rice varieties susceptible to rice blast endows most rice varieties with disease resistance [15]. Key genes or QTLs controlling yield, quality, and resistance are usually scattered across different germplasm resources. Although traditional breeding methods can gradually accumulate some favorable gene alleles, they cannot simultaneously improve multiple complex traits due to the difficulty in breaking unfavorable gene linkage relationships and longer breeding cycles. Gene editing technology can accurately and efficiently integrate multiple favorable allelic variations, thereby improving rice resistance, yield and quality synergistically.
Gene editing is the process of modifying specific targets in an organism’s genome. CRISPR/Cas (Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated) technology is an effective gene editing tool that enables RNA-guided DNA recognition and editing. Conventional crossbreeding struggles to fix multiple beneficial recessive traits simultaneously, whereas CRISPR-mediated targeted editing provides a solution [16,17]. The introduction of the CRISPR/Cas system has significantly lowered the barrier to gene editing, enabling scientists to perform targeted genome modifications more rapidly and precisely [18,19]. This technology has been widely applied in crops, such as rice [20,21], maize [22,23], wheat [24,25] and soybeans [26,27]. Key agronomic traits, such as crop yield, disease resistance, stress tolerance, and nutritional quality, are controlled by different genes. Multiplex gene editing can stack beneficial alleles and remove yield-limiting factors, playing a crucial role in crop genetic improvement. Editing three genes, OsPIN5b (a panicle length gene), GS3 (a grain weight gene), and OsMYB30 (a cold tolerance gene), simultaneously using the CRISPR/Cas9 system resulted in high-yield, cold-tolerant mutants, and the T2 generations of mutants exhibited higher yield and better cold tolerance [28]. Knocking out homologs of the rice salicylic acid 5-hydroxylase gene (OsS5H) using CRISPR/Cas9-mediated gene editing generated an oss5h1oss5h2oss5h3 triple mutant that enhanced resistance to pathogens by accumulating salicylic acid and activating defense genes [29]. In summary, CRISPR/Cas9 system, with its characteristics of precision, efficiency, and multiple editing capabilities, is driving crop breeding into a new era. It can effectively overcome the bottlenecks of long cycle and low efficiency in the pyramid formation of multiple excellent traits in traditional breeding, but also provide an effective technical approach for the coordinated improvement of various agronomic traits, such as yield, resistance, and quality.
In this study, the japonica rice cultivar Xindao53 was used as the recipient material for genetic transformation. It has low resistance to rice blast, short and round grains, and no fragrance. Using CRISPR/Cas9 technology, we constructed a multiplex gene editing vector simultaneously targeting the grain length gene GS3, grain size gene OsPIL15, grain number per panicle gene Gn1a, fragrance gene OsBADH2, and rice blast resistance gene Pi21. The vector was introduced into the cultivar Xindao53 to generate new rice germplasm with rice blast resistance, high yield, slender grains, and fragrance. This study provided genetic resources for breeding blast-resistant, long-grain, fragrant japonica rice varieties.

2. Materials and Methods

2.1. Experimental Materials and Cultivation Methods

The conventional japonica rice variety Xindao53 (XD53), which was bred by Xinxiang Academy of Agricultural Sciences, was used as the transgenic receptor material. XD53 is suitable for planting as wheat stubble rice in the Huang-Huai rice region of China. It possesses strong tillering ability, moderate plant type, and good ripening appearance. However, it susceptible to rice blast, the grains are short and round, and the rice has no fragrance. Gene-edited progeny materials and the wild-type XD53 were planted in Xinxiang, Henan. Plants were spaced 25 cm apart within rows, which were spaced 15 cm apart. Plants were grown under natural sunlight conditions and conventional water and fertilizer management practices were employed.

2.2. Construction of CRISPR/Cas9 Expression Vector

The vector used in the experiment was the M601 vector. The CDS sequences of OsPIL15 (Os01g0286100), GS3 (Os03g0407400), Gn1a (Os01g0197700), OsBADH2 (Os08g0424500) and Pi21 (Os04g0401000) were obtained from the NCBI website. The target sequence was selected as the first or second exon. The detailed positions and sequence information were shown in Figure 1. Then, the sgRNA sequences of yield-related genes (OsPIL15, GS3, and Gn1a), fragrance gene (OsBADH2), and rice blast resistance gene (Pi21) were tandemly connected by multiple tRNAs. The M601 vector was linearized using BsaI, and the linearized vector was ligated with the tRNA-tandem sgRNA sequence using T4 DNA ligase to obtain the five-gene editing vector (Figure 2). The primers used are listed in Table S1.

2.3. Acquisition and Detection of Transgenic Plants

The M601-OsPIL15/GS3/Gn1a/OsBADH2/Pi21-gRNA vector was introduced into the callus XD53 using Agrobacterium-mediated transformation. Following hygromycin selection, the T0 regenerated plants were differentiated, acclimatized, and transplanted into the greenhouse. At the tillering stage, the DNA of leaf from T0 plants was extracted using the CTAB method. PCR detection was then performed using Cas9-F/R primers. Plants showing a 578 bp PCR product were identified as positive transgenic plants. The editing results of OsPIL15, GS3, Gn1a, OsBADH2, and Pi21 genes were detected using Seq1-F/R, Seq2-F/R, Seq3-F/R, Seq4-F/R and Seq5-F/R, respectively. The editing efficiency of positive T0 generation seedlings was determined, and homozygous mutants were identified in the T1 and T2 generations through sequencing results. The primers are listed in Table S1.

2.4. Investigation of Yield-Related Traits

At maturity, the plant height of wild-type XD53 plants and gene-edited plants was investigated. Representative individual plants were harvested, and the following traits were measured: panicle number per plant, panicle length, grain number per panicle, seed setting rate, grain length, grain width, grain length-width ratio, thousand-grain weight, and grain yield per plant.

2.5. Determination of Fragrance Substance Content

The content of fragrance substance, 2-acetyl-1-pyrrolidine (2-AP), was measured using gas chromatography-mass spectrometry (GC-MS). 2,4,6-Trimethylpyridine (TMP) was used as an internal standard during measurement process. GC conditions: HP-5MS column, inlet temperature 240 °C; temperature program: hold at 50 °C for 1 min; then ramp to 160 °C at 10 °C/min, hold for 1 min; finally ramp to 300 °C at 40 °C/min. MS conditions: electron impact ion source, ion source temperature 250 °C; full scan mode, scan range m/z 35-500. Multiple Reaction Monitoring (MRM) technology was used to generate product ions via collision-induced dissociation, and these ion signals were monitored in the third quadrupole. The molecular ion peak for 2-AP was m/z 111, with characteristic fragment ion peaks at m/z 83 and 69. The molecular ion peak for TMP was m/z 121, with characteristic fragment ion peaks at m/z 106 and 79. Qualitative analysis of 2-AP and TMP was performed using NIST library search.

2.6. Identification of Rice Blast Resistance

Circles of filter paper, approximately 8 cm in diameter, were placed flat inside 9 cm diameter plastic Petri dishes, and moistened with sterile water. The leaves from rice seedlings at the 4-6 leaf stage were used. When 90% of the seedling heart leaves were unfolded, a leaf segment approximately 5 cm long was cut from the middle and lower parts. Two to three wounds were made on the main vein using a dissecting needle, taking care not to penetrate the leaf. A 0.01% (v/v) Tween 20 solution was sprayed onto the leaves to form a thin mist. Mycelium blocks (0.5 cm × 0.5 cm) were taken from the edge of colonies cultured on an oat tomato agar medium and placed face down on the leaf wounds. The inoculated rice leaves were then incubated in darkness at 28 ℃ with 100% relative humidity for 30-32 h, followed by a light incubation period of 72-96 h. The symptoms on the inoculated rice leaves were observed periodically and the lesion types were recorded. Inoculation of Nipponbare (NIP) was used as the control. Strains 23-JGS-12 and 23-JGS-13 were isolated from paddy fields in Jinggangshan, China. Strain PY-DS-1-1 was isolated from paddy fields in Yuanyang, China.

3. Results

3.1. Analysis of Editing Efficiency of T0 Generation Transgenic Plants

Based on the identification results of the edited plants in T0 generation, the simultaneous editing efficiency for all five genes was 9.38%. The highest single-gene editing efficiency was Pi21 (78%), followed by GS3 (63%), OsBADH2 (56%), and Gn1a (54%), while OsPIL15 has the lowest efficiency, only 13%. Of all plants that were successfully edited, the highest homozygous editing efficiency was for Pi21 (12.90%), followed by Gn1a and GS3 (both 15.63%), and OsBADH2 (6.25%), while OsPIL15 has no homozygous editing (Figure 3).

3.2. Screening and Identification of Homozygous Mutant Lines of Five Genes

The sequences containing the target site of each individual plant in the T2 generation were amplified using sequencing primers, Seq1-F/R, Seq2-F/R, Seq3-F/R, Seq4-F/R and Seq5-F/R. Five lines with all 5 genes homozygous, namely fm-1, fm-2, fm-3, fm-4, and fm-5, were identified by sequencing analysis. And two genotypes were identified (Figure 4). The genotypic difference between fm-1 and fm-2 versus fm-3, fm-4, and fm-5 was the mutation type in OsBADH2, which is a single-base insertion of G or C (Figure 4A). Both insertions result in premature translation termination. The other four genes showed no difference between genotypes. The mutation type of OsPIL15 was a base insertion and deletion (+T; -48 bp) (Figure 4B); GS3 exhibits a single-base deletion (-G) (Figure 4C), Gn1a a double-base deletion (-GA) (Figure 4D), and Pi21 a triple-base deletion (-GGT) (Figure 4E). The mutation types of OsPIL15, GS3, and Gn1a all resulted in premature translation termination, whereas the protein sequence of Pi21 lacked one amino acid (KV-N) compared to that of wild-type (Figure 4).

3.3. Analysis of Yield Traits of Homozygous Edited Lines

The yield traits of five five-gene homozygous mutant lines were measured. Compared to wild-type, the grain number per panicle in the five homozygous lines significantly increased by 14.47%, 15.46%, 20.49%, 27.11%, and 14.93%, respectively (Figure 5A, 6A). The grain yield per plant in the five homozygous lines also significantly increased by 20.94%, 14.68%, 11.21%, 18.74%, and 8.82%, respectively (Figure 5B). However, there were no significant difference in panicle number per plant (Figure 5C), panicle length (Figure 5D), and seed setting rate (Figure 5E). In addition, there was also no significant change in plant height of the homozygous lines (Figure 5F and Figure 6B). These results indicated that simultaneous editing all five genes did not affect normal growth, but editing of the Gn1a gene significantly increased grain number per panicle and grain yield per plant in rice without altering other yield traits.

3.4. Analysis of Grain Phenotype of Homozygous Edited Lines

Compared with the wild-type, the grain length and length-width ratio significantly increased in all five edited lines. The grain lengths of edited lines, fm-1, fm-2, fm-3, fm-4, and fm-5, were 7.75 mm, 7.94 mm, 7.49 mm, 7.60 mm, and 7.57 mm, respectively, representing increases of 2.46-8.62% compared to that of the wild-type (Figure 7A). The grain length-width ratio of the same lines was 2.23, 2.23, 2.18, 2.19, and 2.20, respectively, representing an increase of 3.31-5.67% compared to that of the wild-type (Figure 7B). Regarding grain width, only fm-2 showed a significant increase, while the other lines showed no significant difference (Figure 7C). Regarding grain thickness, there was no significant difference only in fm-5 (Figure 7D), while the others showed a significant decrease. Thousand-grain weight showed no significant difference in all lines (Figure 7E). These results indicated that the editing of the GS3 and OsPIL15 genes significantly increased grain length and length-width ratio.

3.5. Fragrance Analysis of Homozygous Edited Lines

The contents of 2-AP in grains of wild-type and the edited lines, fm-1, fm-2, fm-3, fm-4, and fm-5, were analyzed. The results showed that the contents of 2-AP in all five lines were significantly higher than that in the wild-type (Figure 8). The highest content of 2-AP was detected in fm-1, reaching 4.56 μg/g, followed by fm-5, fm-4, and fm-3, while fm-2 had the lowest content, 3.01 μg/g. It showed an increase of 42-64 folds compared with wild-type. These results indicated that the editing of OsBADH2 gene effectively increased the content of fragrant substances, 2-AP.

3.6. Rice Blast Resistance Analysis of Homozygous Edited Lines

Three strains were used to identify rice blast resistance. When inoculated with strain PY-DS-1-1, NIP showed susceptibility, whereas XD53 and its edited lines showed no disease symptoms (Figure 9A), indicating that XD53 was resistant to strain PY-DS-1-1, and that editing Pi21 did not affect the resistance. When inoculated with strain 23-JGS-13, XD53 were more severely infected, with obvious lesions spreading, at 5 dpi (days post-inoculation), while the lesions on the homozygous mutant lines were significantly smaller than those of XD53, especially fm-4 and fm-5 (Figure 9B). Similar to the infection results of 23-JGS-13, XD53 also showed severe infection symptoms when inoculated with 23-JGS-12, while the lesions in the homozygous mutant line were smaller than those in XD53. Among them, fm-4 and fm-5 showed significantly stronger resistance (Figure 9C). These results indicated that editing for Pi21 gene by CRISPR/Cas9 system had enhanced resistance to certain rice blast strains at the seedling stage compared to wild-type.

4. Discussion

4.1. Innovation and Comparison of Multiplex gene Editing Vector Construction Strategies

The tRNA-assisted tandem multiplex gene knockout vector system was used to construct a vector that targeting OsPIL15, GS3, Gn1a, OsBADH2 and Pi21 simultaneously. The achieved co-editing of the five genes via Agrobacterium-mediated transformation, with a simultaneous five-gene editing efficiency of 9.38% (Figure 3). Compared with traditional multi-vector systems [28,30], this design significantly simplified the process of vector construction and avoided the risk of gene silencing associated with multiple promoters. The core innovation of this vector design lies in utilizing the self-cleaving property of tRNA to express multiple sgRNAs in tandem. It avoided issues that related to larger vector size and variation in expression efficiency caused by tandem promoters [31]. The vector used in this study solved the problems of unstable editing efficiency and higher off-target effects that exist traditional CRISPR/Cas9 vectors [32,33]. Its characteristic was the inclusion of independent but cooperative expression units, namely the Ubi promoter (driving Cas9) and the U6 promoter (driving sgRNA) (Figure 2). The design of vector ensured balanced expression of the two core components, achieving efficient and high-fidelity gene editing. This method has significant advantages in vector construction complexity, conversion efficiency, and editing throughput. Furthermore, the vector using the Ubi promoter for Cas9 and the U6 promoter for sgRNA showed good expression stability and editing specificity.

4.2. Mechanism Analysis and Optimization Strategies for Differences in Multiplex Gene Editing Efficiency

In this study, the simultaneous five-gene editing efficiency in T0 plants was 9.38%, while single-gene efficiencies showed varied significantly. Pi21 has the highest efficiency (78%), while OsPIL15 has the lowest efficiency (13%) (Figure3). These differences in editing efficiency may be related to several factors, such as the rationality of gRNA design, the chromatin accessibility of the target region, the stability of the Cas9/sgRNA complex, and the preferences of DNA repair mechanism [34]. For example, OsPIL15 was located near the end of chromosome, which could lead to low editing efficiency due to its heterochromatin state [35]. The coding region structure, exon position, and PAM sequence availability of different genes also affect editing efficiency [36]. To improve multiplex gene editing efficiency, the following strategies can be considered: (1) Optimizing target selection by prioritizing targets located in conserved gene domains with a higher GC content to improve gRNA binding efficiency and specificity [37,38]; (2) Using chromatin openers, such as histone deacetylase inhibitors, to increase chromatin accessibility in the target region and thereby enhance Cas9/sgRNA binding capacity [24]; (3) Employing a “dual-target cleavage” strategy by designing two adjacent target sites within the same gene and cutting them simultaneously to significantly increase the probability of frameshift mutations [39]; (4) Using highly active Cas9 variants, such as xCas9, which have a broader PAM recognition range and higher editing precision, and are especially suitable for editing difficult-to-target genomic regions [18]. The strategy of increasing the probability of effective editing through the synergistic effect of multiple targets has been successfully applied in plant multiplex gene editing systems [29]. Therefore, one or more additional target sites may be designed within the gene to address the issue of low editing efficiency for OsPIL15.

4.3. Effects of Multiplex gene Editing on Phenotypes

This study successfully improved grain length, grain number per panicle, fragrance substance content, and rice blast resistance of rice through multiplex gene editing. The increase in grain length and grain length-width ratio in the edited lines was primarily due to the loss-of-function of GS3 [9,40]. However, the increase in grain length was not particularly high (2.46-8.62%), possibly due to the genetic background of XD53, which may have limited the effect of GS3 [41]. However, although grain length increased in all edited lines, grain weight did not increase in edited lines, which potentially due to the genetic background or balance among target genes, GS3 and OsPIL15. In the future, in multiplex gene editing targeting multiple traits, it is necessary to analyze the regulatory relationships and associated effects between target genes, which will help to minimize the antagonistic or compensatory effects between genes. The increase in grain number per panicle in the edited lines (14.47-27.11%) was caused by the accumulation of cytokinin in the inflorescence meristem due to the loss of function of Gn1a, thereby increasing the number of spikelets, consistent with the phenotype of grain number per panicle in OsCKX2/Gn1a gene silenced lines [12,42]. The enhancement of fragrance in grains was due to the accumulation of 2-AP, which is caused by a mutation in the OsBADH2 [13]. Here, the contents of 2-AP in the homozygous edited lines increased by 42 to 64 folds (Figure 8). It indicated that the fragrance controlled by OsBADH2 was a key gene for modulating rice fragrance, and editing it has a good effect on improving rice fragrance, which could be effectively applied in high-quality molecular breeding. The Pi21 edited lines showed enhanced resistance to the rice blast strains, 23-JGS-12 and 23-JGS-12, which is similar to the previously reported results [15]. However, the edited lines showed varying resistance to different rice blast strains, and the gene editing of Pi21 has limited effectiveness in enhancing rice blast resistance (Figure 9). It may be because the edited Pi21 mutation only resulted in a single amino acid deletion in this study. Although this amino acid deletion affects Pi21 protein function and partially improves rice blast resistance, it is insufficient to meet the requirements of disease resistance. More Pi21 mutation types need to be identified in the future to screen for homozygous lines with more significant improvement in rice blast resistance.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Table S1: The primers used in this study.

Author Contributions

Conceptualization, J.L. and Y.D.; validation, S.G.; formal analysis, S.G.; investigation, S.G. and J.Z.; resources, J.L.; data curation, S.G.; writing—original draft preparation, S.G.; writing—review and editing, J.L. and Y.H.; visualization, S.G.; supervision, J.L. and Y.H.; project administration, Y.H., C.M. and Z.C; funding acquisition, Z.C. and J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the following funding sources: Key R&D projects of Henan, China (231111110500), Modern Agricultural Industry Technology System Projects of Henan, China (HARS-22-03-G3), Key Scientific Research Projects of Colleges and Universities in Henan, China (26A210020), and Henan Science and Technology Tackling Project (252102110241).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the data generated or analyzed during this study are included in this published article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Xing, Y.Z.; Zhang, Q.F. Genetic and molecular bases of rice yield. Annu Rev Plant. Biol. 2010, 61, 421–442. [Google Scholar] [CrossRef]
  2. Du, Y.X.; Ye, C.; Han, P.J.; Sheng, Y.L.; Li, F.; Sun, H.Z.; Zhang, J.; Li, J.Z. The molecular mechanism of transcription factor regulation of grain size in rice. Plant Sci. 2025, 354, 112434. [Google Scholar] [CrossRef]
  3. Choi, B.S.; Kim, Y.J.; Markkandan, K.; Koo, Y.J.; Song, J.T.; Seo, H.S. GW2 Functions as an E3 ubiquitin ligase for rice expansin-like 1. Int. J. Mol. Sci. 2018, 19, 1904. [Google Scholar] [CrossRef] [PubMed]
  4. Yang, W.S.; Wu, K.; Wang, B.; Liu, H.H.; Guo, S.Y.; Guo, X.Y.; Luo, W.; Sun, S.Y.; Ouyang, Y.D.; Fu, X.D.; et al. The RING E3 ligase CLG1 targets GS3 for degradation via the endosome pathway to determine grain size in rice. Mol. Plant 2021, 14, 1699–1713. [Google Scholar] [CrossRef] [PubMed]
  5. Sun, S.Y.; Wang, L.; Mao, H.L.; Shao, L.; Li, X.H.; Xiao, J.H.; Ouyang, Y.D.; Zhang, Q.F. A G-protein pathway determines grain size in rice. Nat. Commun. 2018, 9, 851. [Google Scholar] [CrossRef]
  6. Han, Y.C.; Hu, Q.F.; Gong, N.; Yan, H.M.; Khan, N.U.; Du, Y.X.; Sun, H.Z.; Zhao, Q.Z.; Peng, W.X.; Li, Z.C.; et al. Natural variation in MORE GRAINS 1 regulates grain number and grain weight in rice. J. Integr. Plant Biol. 2024, 66, 1440–1458. [Google Scholar] [CrossRef]
  7. Duan, P.G.; Rao, Y.C.; Zeng, D.L.; Yang, Y.L.; Xu, R.; Zhang, B.L.; Dong, G.J.; Qian, Q.; Li, Y.H. SMALL GRAIN 1, which encodes a mitogen-activated protein kinase kinase 4, influences grain size in rice. Plant J. 2014, 77, 547–557. [Google Scholar] [CrossRef]
  8. Guo, T.; Chen, K.; Dong, N.Q.; Shi, C.L.; Ye, W.W.; Gao, J.P.; Shan, J.X.; Lin, H.X. GRAIN SIZE AND NUMBER1 negatively regulates the OsMKKK10-OsMKK4-OsMPK6 cascade to coordinate the trade-off between grain number per panicle and grain size in rice. Plant Cell 2018, 30, 871–888. [Google Scholar] [CrossRef]
  9. Fan, C.C.; Xing, Y.Z.; Mao, H.L.; Lu, T.T.; Han, B.; Xu, C.G.; Li, X.H.; Zhang, Q.F. GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet. 2006, 112, 1164–1171. [Google Scholar] [CrossRef] [PubMed]
  10. Liu, J.F.; Chen, J.; Zheng, X.M.; Wu, F.Q.; Lin, Q.B.; Heng, Y.Q.; Tian, P.; Cheng, Z.J.; Yu, X.W.; Zhou, K.N.; et al. GW5 acts in the brassinosteroid signalling pathway to regulate grain width and weight in rice. Nat. Plants 2017, 3, 17043. [Google Scholar] [CrossRef]
  11. Ji, X.; Du, Y.X.; Li, F.; Sun, H.Z.; Zhang, J.; Li, J.Z.; Peng, T.; Xin, Z.Y.; Zhao, Q.Z. The basic helix-loop-helix transcription factor, OsPIL15, regulates grain size via directly targeting a purine permease gene OsPUP7 in rice. Plant Biotechnol J. 2019, 17, 1527–1537. [Google Scholar] [CrossRef]
  12. Ashikari, M.; Sakakibara, H.; Lin, S.Y.; Yamamoto, T.; Takashi, T.; Nishimura, A.; Angeles, E.R.; Qian, Q.; Kitano, H.; Matsuoka, M. Cytokinin oxidase regulatesrice grain production. Science 2005, 309, 741–745. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, S.H.; Yang, Y.; Shi, W.W.; Ji, Q.; He, F.; Zhang, Z.D.; Cheng, Z.K.; Liu, X.N.; Xu, M.L. Badh2, encoding betaine aldehyde dehydrogenase, inhibits the biosynthesis of 2-acetyl-1-pyrroline, a major component in rice fragrance. Plant Cell 2008, 20, 1850–1861. [Google Scholar] [CrossRef] [PubMed]
  14. Shan, Q.W.; Zhang, Y.; Chen, K.L.; Zhang, K.; Gao, C.X. Creation of fragrant rice by targeted knockout of the OsBADH2 gene using TALEN technology. Plant Biotechnol J. 2015, 13, 791–800. [Google Scholar] [CrossRef]
  15. Fukuoka, S.; Saka, N.; Koga, H.; Ono, K.; Shimizu, T.; Ebana, K.; Hayashi, N.; Takahashi, A.; Hirochika, H.; Okuno, K.; Yano, M. Loss of function of a proline-containing protein confers durabledisease resistance in rice. Science 2009, 325, 998–1001. [Google Scholar] [CrossRef]
  16. Liu, X.T.; Fu, Y.; Li, M.; Xiong, S.T.; Huang, L.; Zhang, S.; Zhang, W.; Liang, X.Y.; Wang, W.L.; Tang, K.X.; et al. Biofortification of tomatoes with beta-carotene through targeted gene editing. Int. J. Biol. Macromol 2025, 327, 147396. [Google Scholar] [CrossRef] [PubMed]
  17. Luo, J.M.; Li, S.Y.; Xu, J.J.; Yan, L.; Ma, L.Q.; Xia, L.Q. Pyramiding favorable alleles in an elite wheat variety in one generation by CRISPR-Cas9-mediated multiplex gene editing. Mol. Plant 2021, 14, 847–850. [Google Scholar] [CrossRef]
  18. Eggers, A.R.; Chen, K.; Soczek, K.M.; Tuck, O.T.; Doherty, E.E.; Xu, B.; Trinidad, M.I.; Thornton, B.W.; Yoon, P.H.; Doudna, J.A. Rapid DNA unwinding accelerates genome editing by engineered CRISPR-Cas9. Cell 2024, 187, 3249–3261. [Google Scholar] [CrossRef]
  19. Li, F.; Hou, H.N.; Song, M.L.; Chen, Z.; Peng, T.; Du, Y.X.; Zhao, Y.F.; Li, J.Z.; Miao, C.B. Targeted insertion of large DNA fragments through template-jumping prime editing in rice. Plant Biotechnol J. 2025, 23, 2645–2647. [Google Scholar] [CrossRef]
  20. Song, X.G.; Meng, X.B.; Guo, H.Y.; Cheng, Q.; Jing, Y.H.; Chen, M.J.; Liu, G.F.; Wang, B.; Wang, Y.H.; Li, J.Y.; et al. Targeting a gene regulatory element enhances rice grain yield by decoupling panicle number and size. Nat. Biotechnol 2022, 40, 1403–1411. [Google Scholar] [CrossRef]
  21. Zhu, X.Y.; Gou, Y.J.; Heng, Y.Q.; Ding, W.Y.; Li, Y.J.; Zhou, D.G.; Li, X.Q.; Liang, C.R.; Wu, C.Y.; Wang, H.Y.; et al. Targeted manipulation of grain shape genes effectively improves outcrossing rate and hybrid seed production in rice. Plant Biotechnol J. 2023, 21, 381–390. [Google Scholar] [CrossRef]
  22. Li, L.N.; Fu, X.; Qi, X.T.; Xiao, B.; Liu, C.L.; Wu, Q.Y.; Zhu, J.J.; Xie, C.X. Harnessing haploid-inducer mediated genome editing for accelerated maize variety development. Plant Biotechnol J. 2025, 23, 1604–1614. [Google Scholar] [CrossRef]
  23. Tian, J.G.; Wang, C.L.; Chen, F.Y.; Qin, W.C.; Yang, H.; Zhao, S.H.; Xia, J.L.; Du, X.; Zhu, Y.F.; Wu, L.S.; et al. Maize smart-canopy architecture enhances yield at high densities. Nature 2024, 632, 576–584. [Google Scholar] [CrossRef]
  24. Wang, Z.X.; Zhang, Y.F.; Kang, Z.S.; Mao, H.D. Improvement of wheat drought tolerance through editing of TaATX4 by CRISPR/Cas9. J. Genet. Genomics 2023, 50, 913–916. [Google Scholar] [CrossRef]
  25. Zhang, R.Z.; Zhang, S.J.; Li, J.H.; Gao, J.; Song, G.Q.; Li, W.; Geng, S.F.; Liu, C.; Lin, Y.X.; Li, Y.L.; et al. CRISPR/Cas9-targeted mutagenesis of TaDCL4, TaDCL5 and TaRDR6 induces male sterility in common wheat. Plant Biotechnol J. 2023, 21, 839–853. [Google Scholar] [CrossRef]
  26. Asa, H.; Kuwabara, C.; Matsumoto, K.; Shigeta, R.; Yamamoto, T.; Masuda, Y.; Yamada, T. Simultaneous site-directed mutagenesis for soybean β-amyrin synthase genes via DNA-free CRISPR/Cas9 system using a single gRNA. Plant Cell Rep. 2025, 44, 40. [Google Scholar] [CrossRef] [PubMed]
  27. Kuwabara, C.; Miki, R.; Maruyama, N.; Yasui, M.; Hamada, H.; Nagira, Y.; Hirayama, Y.; Ackley, W.; Li, F.; Imai, R.; et al. A DNA-free and genotype-independent CRISPR/Cas9 system in soybean. Plant Physiol. 2024, 196, 2320–2329. [Google Scholar] [CrossRef] [PubMed]
  28. Zeng, Y.F.; Wen, J.Y.; Zhao, W.B.; Wang, Q.; Huang, W.C. Rational improvement of rice yield and cold tolerance by editing the three genes OsPIN5b, GS3, and OsMYB30 with the CRISPR-Cas9 system. Front Plant Sci. 2019, 10, 1663. [Google Scholar] [CrossRef]
  29. Liu, X.; Yu, Y.; Yao, W.; Yin, Z.L.; Wang, Y.B.; Huang, Z.J.; Zhou, J.Q.; Liu, J.L.; Lu, X.D.; Wang, F.; et al. CRISPR/Cas9-mediated simultaneous mutation of three salicylic acid 5-hydroxylase (OsS5H) genes confers broad-spectrum disease resistance in rice. Plant Biotechnol J. 2023, 21, 1873–1886. [Google Scholar] [CrossRef] [PubMed]
  30. Xu, R.F.; Yang, Y.C.; Qin, R.Y.; Li, H.; Qiu, C.H.; Li, L.; Wei, P.C.; Yang, J.B. Rapid improvement of grain weight via highly efficient CRISPR/Cas9-mediated multiplex genome editing in rice. Journal of Genetics and Genomics 2016, 43, 529–532. [Google Scholar] [CrossRef]
  31. Engler, C.; Gruetzner, R.; Kandzia, R.; Marillonnet, S. Golden gate shuffling: A one-pot DNA shuffling method based on type IIs restriction enzymes. PLoS One 2009, 4, e5553. [Google Scholar] [CrossRef]
  32. Kleinstiver, B. P.; Pattanayak, V.; Prew, M.S.; Tsai, S.Q.; Nguyen, N.T.; Zheng, Z.L.; Joung, J.K. High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects. Nature 2016, 529, 490–495. [Google Scholar] [CrossRef]
  33. Kleinstiver, B.P.; Tsai, S.Q.; Prew, M.S.; Nguyen, N.T.; Welch, M.M.; Lopez, J.M.; McCaw, Z.R.; Aryee, M.J.; Joung, J.K. Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells. Nat. Biotechnol 2016, 34, 869–874. [Google Scholar] [CrossRef]
  34. Belhaj, K.; Chaparro-Garcia, A.; Kamoun, S.; Patron, N.J.; Nekrasov, V. Editing plant genomes with CRISPR/Cas9. Curr. Opin. Biotechnol 2015, 32, 76–84. [Google Scholar] [CrossRef]
  35. Li, W.; Teng, F.; Li, T.D.; Zhou, Q. Simultaneous generation and germline transmission of multiple gene mutations in rat using CRISPR-Cas systems. Nat. Biotechnol 2013, 31, 684–686. [Google Scholar] [CrossRef] [PubMed]
  36. Knott, G.J.; Doudna, J.A. CRISPR-Cas guides the future of genetic engineering. Science 2018, 361, 866–869. [Google Scholar] [CrossRef]
  37. Doench, J.G.; Hartenian, E.; Graham, D.B.; Tothova, Z.; Hegde, M.; Smith, I.; Sullender, M.; Ebert, B.L.; Xavier, R.J.; Root, D.E. Rational design of highly active sgRNAs for CRISPR-Cas9-mediated gene inactivation. Nat. Biotechnol 2014, 32, 1262–1267. [Google Scholar] [CrossRef]
  38. Liu, X.; Wu, S.R.; Xu, J.; Sui, C.; Wei, J.H. Application of CRISPR/Cas9 in plant biology. Acta Pharm Sin B 2017, 7, 292–302. [Google Scholar] [CrossRef]
  39. Zhang, Y.; Pribil, M.; Palmgren, M.; Gao, C.X. A CRISPR way for accelerating improvement of food crops. Nature Food 2020, 1, 200–205. [Google Scholar] [CrossRef]
  40. Chen, Y.Y.; Zhu, A.; Xue, P.; Wen, X.X.; Cao, Y.R.; Wang, B.F.; Zhang, Y.; Shah, L.; Cheng, S.H.; Cao, L.Y.; et al. Effects of GS3 and GL3.1 for grain size editing by CRISPR/Cas9 in rice. Rice Science 2020, 27, 405–413. [Google Scholar] [CrossRef]
  41. Peng, Y.B.; Du, C.Y.; He, Y.N.; Zheng, C.K.; Sun, W.; Zhou, J.J.; Xie, L.X.; Jiang, C.H.; Xu, J.D.; Wang, F.; et al. Natural variation of Grain size 3 allele differentially functions in regulating grain length in xian/indica and geng/japonica rice. Euphytica 2024, 220, 44. [Google Scholar] [CrossRef]
  42. Yeh, S.Y.; Chen, H.W.; Ng, C.Y.; Lin, C.Y.; Tseng, T.H.; Li, W.H.; Ku, M.S.B. Down-Regulation of cytokinin oxidase 2 expression increases tiller number and improves rice yield. Rice 2015, 8, 36. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The target sites of OsPIL15, GS3, Gn1a, OsBADH2, and Pi21. (A-E) Schematic diagram of the gene structure and target site of OsPIL15 (A), GS3 (B), Gn1a (C), OsBADH2 (D) and Pi21 (E).
Figure 1. The target sites of OsPIL15, GS3, Gn1a, OsBADH2, and Pi21. (A-E) Schematic diagram of the gene structure and target site of OsPIL15 (A), GS3 (B), Gn1a (C), OsBADH2 (D) and Pi21 (E).
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Figure 2. The vector construction of M601-OsPIL15/GS3/Gn1a/OsBADH2/Pi21-gRNA.
Figure 2. The vector construction of M601-OsPIL15/GS3/Gn1a/OsBADH2/Pi21-gRNA.
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Figure 3. Efficiency of five-gene editing of T0 generation.
Figure 3. Efficiency of five-gene editing of T0 generation.
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Figure 4. The mutant sites of homozygous edited lines. (A-E) The mutation sites of OsBADH2 (A), OsPIL15 (B), GS3 (C), Gn1a (D), and Pi21 (E) in the homozygous edited lines.
Figure 4. The mutant sites of homozygous edited lines. (A-E) The mutation sites of OsBADH2 (A), OsPIL15 (B), GS3 (C), Gn1a (D), and Pi21 (E) in the homozygous edited lines.
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Figure 5. Performance of key agronomic traits in wild-type and edited lines. (A) Grain number per panicle. (B) Grain yield per plant. (C) Panicle number per plant. (D) Panicle length. (E) Seed setting rate. (F) Plant height.
Figure 5. Performance of key agronomic traits in wild-type and edited lines. (A) Grain number per panicle. (B) Grain yield per plant. (C) Panicle number per plant. (D) Panicle length. (E) Seed setting rate. (F) Plant height.
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Figure 6. Phenotypes of panicles and whole plants in wild-type and edited lines. (A) Morphology of the panicles of wild-type and edited lines. Scale bar: 2 cm. (B) Performances of whole plant of wild-type and edited lines. Scale bar: 10 cm.
Figure 6. Phenotypes of panicles and whole plants in wild-type and edited lines. (A) Morphology of the panicles of wild-type and edited lines. Scale bar: 2 cm. (B) Performances of whole plant of wild-type and edited lines. Scale bar: 10 cm.
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Figure 7. Performance of grain size in wild-type and edited lines. (A-E) The grain length (A), grain length-width ratio (B), grain width (C), grain thickness (D), and thousand-grain weight (E) of wild-type and edited lines. (F) Phenotypes of grains of wild-type and edited lines. Scale bar: 1 cm.
Figure 7. Performance of grain size in wild-type and edited lines. (A-E) The grain length (A), grain length-width ratio (B), grain width (C), grain thickness (D), and thousand-grain weight (E) of wild-type and edited lines. (F) Phenotypes of grains of wild-type and edited lines. Scale bar: 1 cm.
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Figure 8. The content of 2-AP of wild-type and edited lines.
Figure 8. The content of 2-AP of wild-type and edited lines.
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Figure 9. The inoculation phenotypes after inoculation with rice blast in control, wild-type and edited lines. (A-C) The inoculation phenotypes after inoculation with PY-DS-1-1 (A), 23-JGS-13 (B) and 23-JGS-12 (C). Scale bar: 1 cm.
Figure 9. The inoculation phenotypes after inoculation with rice blast in control, wild-type and edited lines. (A-C) The inoculation phenotypes after inoculation with PY-DS-1-1 (A), 23-JGS-13 (B) and 23-JGS-12 (C). Scale bar: 1 cm.
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