Advances in gene editing for legume improvement: technologies, progress, and prospects
- Shallu Thakur1,2
- Shalini Pareek2
- G. P. Dixit2
- Geoffrey Meru1
- Alok Das2*corresponding author
- 1Tropical Research and Education Center, Horticultural Sciences Department, University of Florida, IFAS, Homestead, FL, United States
- 2ICAR- Indian Institute of Pulses Research, Kanpur, India
Abstract
Legumes are among the most important protein-rich crops in global agri-food systems. To meet the rising protein demand of a growing population, significant efforts are underway to enhance legume yield, nutritional quality, and resilience to environmental stresses through the manipulation of key genetic traits. Advanced technologies-including genetic engineering, gene editing, genomic selection, next-generation sequencing, single-cell genomics, and multi-omics-are accelerating legume improvement due to their high precision and efficiency. This review focuses on major gene-editing technologies, namely, CRISPR/Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9), TALENs (Transcription Activator-Like Effector Nucleases), ZFNs (Zinc Finger Nucleases), base editing (BE), and prime editing (PE), and their applications in key legume crops such as soybean (Glycine max), cowpea (Vigna unguiculata), chickpea (Cicer arietinum), groundnut (Arachis hypogaea), pea (Pisum sativum), barrel clover (Medicago truncatula), alfalfa (Medicago sativa), and Lotus japonicus. Among these platforms, CRISPR/Cas9 is the most widely adopted in legumes, largely due to its simplicity, versatility, and dependence on accurate genome sequence information and guide RNA (gRNA) design. Advances in next-generation sequencing and the growing availability of intuitive online gRNA design tools have streamlined CRISPR workflows, improving accessibility and precision. The present review indicates that CRISPR-P is the most used gRNA design tool in legume research, likely due to its early development for plant systems and integrated off-target prediction features. Therefore, alongside reviewing gene-editing applications, we emphasized the critical role of robust gRNA design tools as a foundation for successful genome editing. Future integration of artificial intelligence and large language models is expected to further enhance target prediction accuracy, minimize off-target effects, and enable more precise genome-editing strategies in legumes.
Keywords
1 Introduction
Legumes are the third largest family of angiosperms, encompassing more than 19,500 known species across 700 genera, and include a diverse range of economically and nutritionally important food crops (Lewis et al., 2005). They are the important source of plant-based proteins and essential amino acids (Bhowmik et al., 2021). This includes both grain legumes (Glycine max, Vigna unguiculata, Cicer arietinum, Arachis hypogaea, Pisum sativum, Cajanus cajan) and non-grain legumes (Medicago truncatula, Medicago sativa and Lotus japonicus) (Thakur et al., 2021; Baloglu et al., 2022). In addition, legumes are the important biological source of nitrogen fixation in the soil, which enhances agricultural productivity (Wang et al., 2017; Jain et al., 2023). Pulses are the dry edible seeds of grain legumes, harvested for human consumption. In recognition of their nutritional and agricultural value, the United Nations declared 2016 the “International Year of Pulses”. World Pulses Day, established by the United Nations General Assembly (2019), is observed annually on 10 February to raise awareness about the role of pulses in nutrition, food security, sustainable agriculture, and climate resilience. Despite many health benefits and ecological significance, legume productivity remains constrained by a range of abiotic and biotic stresses, underscoring the urgent need for genetic gain in yield, nutritional quality, and stress tolerance (Kumari et al., 2025).
Conventional breeding has contributed significantly to the legume improvement, but its progress is often constrained by long generation cycles, limited genetic variability, and complex polygenic traits (Afzal et al., 2020; Jain et al., 2023; Mousavi-Derazmahalleh et al., 2019; Varshney et al., 2018; Varshney et al., 2019). These challenges restrict the speed and precision of cultivar development. To overcome these limitations, molecular breeding approaches have been increasingly integrated into legume improvement programs. Over the past decade, advances in legume genomics have transformed breeding strategies. More than 35 legume species have been sequenced, and their genomic resources are now publicly available, facilitating the discovery of molecular markers and enabling marker-assisted selection (MAS) and genomic-selection (GS) for complex traits (Varshney et al., 2019). Building on these genomic advances, genomics-assisted breeding approaches have emerged as valuable complements to conventional breeding, improving the efficiency and precision of selecting desirable agronomic traits (Mousavi-Derazmahalleh et al., 2019).
Over the last decade, genome editing technologies have emerged as powerful and versatile tool, for introducing targeted genetic modifications at specific genomic loci with unprecedented accuracy (Arora and Narula, 2017). Several genome editing platforms, such as Zinc-Finger Nucleases (ZFNs), Transcription Activator-Like Effector Nucleases (TALENs), and Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-based systems, have been successfully deployed in legumes (Curtin et al., 2011; Du et al., 2016; Kumari et al., 2025). Emerging new genome editing technologies such as base editing (BE) and prime editing (PE) have further expanded the possibilities for precise nucleotide changes without introducing double strand breaks (DSBs) (Komor et al., 2016; Mishra et al., 2020; Zhong et al., 2022). Collectively, these tools have been applied across major legume species including G. max, V. unguiculata, C. arietinum, A. hypogaea, P. sativum, C. cajan, M. truncatula, M. sativa, and L. japonicus, enabling significant advancements in disease resistance, abiotic stress tolerance, nutritional enhancement, and yield improvement (Bhowmik et al., 2021; Bhowmik et al., 2023; Wolabu et al., 2024; Fukuda et al., 2024; Niu et al., 2024; Abdallah et al., 2025; Asiamah et al., 2025).
Till now, CRISPR/Cas9 has become the most widely used technology due to its simplicity, programmability, and high editing efficiency (El-Mounadi et al., 2020; Thakur et al., 2025). A key determinant of successful CRISPR/Cas9 editing, is the design of an efficient and specific guide RNA (gRNA), which directly governs editing precision and off-target activity (Liang et al., 2016). The availability of numerous online gRNA design tools has simplified this step, improving both accessibility and accuracy in genome editing workflows. Among these tools, CRISPR-P has emerged as the most widely utilized tool in plant and legume research, owing to its early development for plant genomes and its integrated off-target prediction features (Minkenberg et al., 2019). Beyond technical considerations, regulatory framework for genome-edited crops plays a pivotal role in determining their field deployment and commercialization (Asiamah et al., 2025). Regulatory landscape varies substantially across countries, influencing research translation, public acceptance, and global trade (Rose et al., 2020; Asiamah et al., 2025; Thakur et al., 2025). Therefore, understanding the evolving policy landscape is essential when evaluating the broader impact of genome editing in legumes.
Given the rapid expansion and diverse applications of genome editing platforms in legume, there is a growing need to synthesize current knowledge and evaluate the key factors, that underpin successful editing outcomes, including the availability of genome sequence information, functional understanding of genes and their roles in biochemical pathways, and the selection of appropriate gRNA design tools, all of which directly influence editing precision and efficiency. Therefore, this review brings together recent advances in genome editing across major legume species while also assessing the design tools that support CRISPR workflows. We highlight technological developments, emerging approaches (BE and PE), and key applications of genome editing platforms in legumes, and provide a critical evaluation of commonly used gRNA design tools, emphasizing their role as an essential prerequisite for achieving accurate and efficient genome modification and briefly examines regulatory landscape shaping the adoption of genome-edited legumes. Overall, this review serves as a comprehensive reference on legume genome-editing efforts and an integrated resource for future research and legume improvement initiatives.
2 Genome editing technologies in legumes
Several genome editing technologies have been used in legumes including ZFNs, TALENs, CRISPR/Cas9, BE and PE. However, apart from CRISPR/Cas9, reports of successful genome editing using other platforms remain relatively limited. In this section, we provide a brief overview of these genome-editing technologies, with particular emphasis on their application and relevance in legumes.
2.1 Zinc finger nuclease (ZFN)
In the 1900s, the first targeted genome editing tool known as ZFNs were developed, after extensive understanding of DNA repair mechanisms. ZFNs are considered as first generation of site-specific nucleases (SSNs), where zinc finger (ZF) domain is merged with nuclease domain (FokI restriction enzyme) for the DNA cleavage (Osakabe and Osakabe, 2015) (Figure 1). Together they are used in pairs to create DSBs. This cleavage induces cellular repair process resulting in efficient tailoring of the targeted locus of DNA. ZF domain consists of up to 6 proteins and binds to the DNA target. Zn+2 ions provide stability to the engineered Cys2–His2 residues of ZFs and each of these proteins interacts with three base pairs (Urnov et al., 2010). The major drawback of ZFNs compared with other genome-editing technologies is the considerable time and expertise required for their design. Constructing and optimizing ZF arrays is technically challenging, and only a limited number of well-characterized ZF pairs are currently available (Baloglu et al., 2022). In legumes, ZFN based genome editing has been reported in soybean (G. max). Curtin et al. (2011) targeted DICER-like genes (DCL4a/b and DCLb) and other RNA-silencing–related genes using ZFNs, achieving efficient mutations in seven of the nine targets. These results demonstrate the effectiveness of ZFNs for generating mutations in duplicated genes. However, relatively few ZFN studies exist in legumes because the technology is constrained by limited target-site availability and lower DNA-binding affinity (Gupta and Musunuru, 2014).

2.2 Transcription activator-like effector nucleases (TALENs)
TALENs, as a second-generation gene editing tool, comprises the FokI nuclease domain and TALE protein, containing customizable DNA-binding repeats. TALE proteins are derived from pathogenic Xanthomonas bacteria that translocate TALEs proteins into host cell cytoplasm. To enhance the bacterial colonization and infection, TALs work as host’s transcription machinery and make developmental changes in plant beneficial to infection (Boch et al., 2009). Structurally, TALEs contain a central domain of tandem repeats (33–35 amino acid long chain responsible for DNA binding) and a transcription activator domain (Figure 1). The hypervariable residues present at the 12th and 13th position (also called Repeat Variable Di-Residues) of these tandem repeats decides the specific binding with target DNA. In TALE, the transcription activator domain is replaced with nuclease FokI which forms TALEN. To achieve DSBs via FokI, TALENs are used in pairs. Each pair binds to opposite strand of target DNA and is separated by spacer domain (Zhang et al., 2014). The application of TALENs in legumes has been demonstrated primarily in M. truncatula, L. japonicus, groundnut and soybean. In L. japonicus, TALENs have been applied to functional genomics studies to improve the understanding of genes involved in indeterminate nodule development (Wang et al., 2016). In M. truncatula, the efficacy of editing system has been reported using gene knockout (MtHen1) strategy (Curtin et al., 2018). In groundnut, TALEN-mediated editing of the AhFAD2 gene successfully enhanced seed oil quality by increasing oleic acid content (Wen et al., 2018). In soybean, TALENs have been used to target several genes, including DCL (Dicer-like2), GmPDS11 and GmPDS18 resulting in albino and dwarf phenotypes (Du et al., 2016; Curtin et al., 2018). Additionally, GmDcl2b was also targeted, resulting in heritable combinatorial mutations, further demonstrating the utility of TALENs in soybean functional genomics (Curtin et al., 2017; Curtin et al., 2018; Du et al., 2016). TALEN-mediated editing of the fatty acid biosynthesis genes FAD2-1 A/B and FAD3A has been reported to improve seed quality by increasing oleic acid and decreasing linolenic acid, respectively (Haun et al., 2014; Demorest et al., 2016). Knockout of these genes led to a significant reduction in polyunsaturated fats and an increase in healthier monounsaturated oleic acid. This was the basis for the first commercialized gene-edited plant product (Calyno) in the USA. Despite these successes, the broader use of TALENs in legume remains limited due to several practical constraints. A major disadvantage is the relatively large size of the TALEN coding sequence (∼3 kb), which complicates delivery compared to ZFNs, whose cDNA is approximately 1 kb. Moreover, the highly repetitive structure of TALENs can interfere with cloning stability and may impede efficient packaging into viral vectors, further restricting their utility in certain delivery platforms (Gupta and Musunuru, 2014). Another limitation of TALENs is the difficulty of multiplex genome editing, since each target requires custom DNA-binding domains and co-delivery of multiple TALEN pairs (Malzahn et al., 2017).
2.3 CRISPR/Cas9
CRISPR is short, palindromic repeated DNA sequences found in the genomes of prokaryotes. Together with Cas9 protein, the CRISPR system functions as an adaptive immunity in prokaryotes to defend themselves against viruses or bacteriophages (Hille and Charpentier, 2016). In the following section, we discuss in detail about this technique and its applications in legume crops.
2.3.1 CRISPR/Cas9 components
The CRISPR/Cas system is grouped into two classes based on the organization of their effector proteins. Class I systems (Types I, III, IV, VII) use multi-subunit effector complexes, whereas Class II CRISPR systems (Types II, V, and VI) utilize a single, multidomain crRNA-guided effector protein such as Cas9, Cas12 that performs the functions carried out by the multi-subunit effector complexes of Class I systems (Liu Z. et al., 2020; Makarova et al., 2025) (Figure 2a). To date, seven CRISPR–Cas types and 46 subtypes have been identified (Koonin et al., 2017; Makarova et al., 2020; Makarova et al., 2025). Among these, Types I, II and III are the most extensively studied. Interestingly, the same organism can possess all three of these systems simultaneously. Type I systems use the signature nuclease–helicase Cas3 to degrade target DNA. Type II systems, characterized by the Cas9 nuclease with its RuvC and HNH domains, create targeted DSBs (Gasiunas et al., 2012; Jinek et al., 2012). Type V systems employ Cas12, which contains only a RuvC domain, while Type VI systems use Cas13, an RNA-targeting nuclease. The newly identified Type VII CRISPR systems rely on Cas14 for crRNA processing, with its ribonuclease activity dependent on the Cas5–Cas7 complex (Makarova et al., 2025). Among all, CRISPR/Cas9 type II system is the most popular due to its adaptability and advanced gene editing capabilities (Liu Z. et al., 2020).

Despite this diversity, most CRISPR systems rely on two core components, a gRNA and an associated Cas effector protein that together direct sequence-specific cleavage.
2.3.1.1 Cas9
Cas9 was first isolated from Streptococcus pyogenes (SpCas9). It is a 1,368-amino-acid, multidomain DNA endonuclease that cleaves target DNA, generating DSBs (Mei et al., 2016). Cas9 protein contains 2 lobes, one is recognition lobe (REC), and another is nuclease lobe (NUC). REC lobe contains two domains called REC1 and REC2 that bind to RNA. NUC lobe has three domains, namely, RuvC, HNH, and Protospacer Adjacent Motif (PAM) interacting domain (PID). RuvC and HNH domains cut each of the single stranded DNA and PAM interacting domains confirm the PAM specificity and initiate binding to the target DNA (Nishimasu et al., 2014) (Figure 2b).
2.3.1.2 Guide RNA (gRNA)
The gRNA is composed of two components: CRISPR RNA (crRNA) and trans-activating CRISPR RNA (tracrRNA). The crRNA contains an approximately 18–20 nucleotide sequence that is complementary to the target DNA and directs sequence-specific binding. The tracrRNA forms a structural scaffold that binds to Cas9, stabilizing the complex and enabling the nuclease to cleave the target DNA. For gene editing applications, gRNA is designed by combining crRNA and tracrRNA to form a gRNA (Mei et al., 2016) (Figure 2c).
2.3.2 CRISPR/Cas9 working mechanism
The mechanism of CRISPR/Cas9 includes three steps: target recognition, cleavage and repair (Shao et al., 2016). The designed gRNA, containing the 5'crRNA component, direct Cas9 to the complementary target sequence. The SpCas9 protein introduces DSBs, often three base pairs upstream of the PAM region, a short, conserved DNA sequence located downstream of the target site. The most used PAM sequence is 5'- NGG-3' (Ceasar et al., 2016). After binding to the PAM, Cas9 unbinds DNA and forms a DNA-RNA hybrid and activates DNA cleavage. HNH nuclease domain cleaves the DNA strand complementary to the gRNA, while RuvC domain cleaves the non-complementary strand, resulting in a blunt ended DSBs. Finally, the host cell machinery repairs the break using non-homologous end joining (NHEJ), or the homology-directed repair (HDR) pathway when a suitable repair template is available (Jiang and Doudna, 2017; Asmamaw and Zawdie, 2021). NHEJ repairs the break by directly joining the DNA ends without using a repair template and operates throughout the cell cycle. Although it is the most common and efficient repair mechanism. It is error-prone and often results in small insertions or deletions (indels) that may cause frameshift mutations or premature stop codons (Yang et al., 2020). In contrast, HDR is a more precise repair pathway that requires a homologous DNA template and is most active during the late S and G2 phases of the cell cycle. In genome editing, HDR enables accurate gene insertion or replacement by using an external donor DNA template that shares sequence similarity with the target region (Liu et al., 2019; Yang et al., 2020) (Figures 1, 2d).
2.3.3 Guide RNA (gRNA) designing workflow
Targeting efficiency of the SpCas9 nuclease in the CRISPR/Cas9 system primarily depends on the designed gRNA and the presence of an appropriate PAM near the target site (Wright et al., 2016). In plants, large gene families and repetitive sequences increase the risk of off-target binding, which can lead to unintended and unpredictable effects. Several online tools have been developed to aid in the design and evaluation of gRNAs, including CHOP-CHOP, CRISPR-P 2.0, CRISPR-PLANT, Benchling, sgRNAcas9, CRISPR Inc., CRISPRdirect, Cas-OFFinder, E-CRISP v5.4, CRISPOR, and CRISPseek (Concordet and Haeussler, 2018; Liu et al., 2017; Labun et al., 2019; Thakur et al., 2021). The differences among these tools and their relevance for legume genome editing are summarized in Table 1, while the key limitations of gRNA prediction and design tools are outlined in Supplementary Table S1. A simplified workflow for designing an effective gRNA is illustrated in Figure 3.
TABLE 1. Key differences among widely used gRNA design tools.
| Tool | Primary focus | Off-target prediction | Genome support | Plant/Legume usefulness | Primer/Validation tools | Sources |
|---|---|---|---|---|---|---|
| CHOPCHOP | sgRNA/TALEN design, visualization | Yes, with Bowtie | Broad (plants incl. Arabidopsis) | High; supports plant genomes, primers for validation | Yes, automatic primers/restriction sites | https://chopchop.cbu.uib.no |
| CRISPR-P 2.0 | Plant sgRNA design | Improved scoring | 49 plant genomes | Highest for legumes; used in legume CRISPR projects | Limited details | http://crispr.hzau.edu.cn/CRISPR2/ |
| CRISPR-PLANT | Plant-specific editing (limited info) | Unknown | Plants | Moderate; plant-focused but sparse data | Unknown | http://omap.org/crispr/ |
| Benchling | Batch gRNA design, assembly | On/off-target scores | Custom upload | High; flexible for any genome incl. legumes | Plasmid assembly | https://www.benchling.com/crispr |
| sgRNAcas9 | sgRNA design package | Minimized off targets | Any via FASTA | Moderate; software for custom genomes | Vector design | Xie et al. (2014) |
| CRISPRdirect | Highly specific gRNAs | Yes, multi-species | 350+ species, custom DB | High; add legume genomes easily | No | https://cscjp.co.jp/item/crisprdirect_en.html |
| Cas-OFFinder | Off-target search | Advanced, unlimited mismatches | Any genome | High as companion tool for plants | No | Bae et al. (2014) |
| E-CRISP v5.4 | Target site ID, libraries | Yes | Broad | Moderate; flexible for plants | Experiment-oriented | Heigwer et al. (2014) |
| CRISPOR | Guide selection, cloning | Multiple scores | Many genomes | High; non-model organisms, primers | Yes, cloning/validation primers | Concordet and Haeussler (2018) |
| CRISPseek | gRNA ID (bioconductor) | Cleavage scores | Any, R-based | Moderate; programmable for legumes | Filtering options | Zhu et al. (2014) |

According to Mohr et al. (2016) general considerations for designing an appropriate gRNA for making CRISPR knockouts via NHEJ are as follows: 1) target a gene-specific region, 2) target the exon region of the gene, 3) target the gRNAs with minimal off targets, 4) filter with a predicted efficiency score, 5) avoid promoter terminator sequence, and 6) avoid restriction sites used for cloning the gRNA.
To identify commonly used gRNA design tools in legume genome-editing studies, we conducted a manual survey of published reports summarized in Table 2. Only studies that explicitly specified the software used for gRNA design were included in the analysis. Based on the reported tools in these studies, CRISPR-P was the most frequently used (53%), followed by CHOPCHOP, CCTop, and CRISPRdirect, each accounting for approximately 8% of usage (Figure 4). The widespread adoption of CRISPR-P likely reflects its plant-specific genome databases, user friendly interface, and ability to predict targets while assessing potential off-target effects, that are particularly valuable for legume research where species-specific genome references improve guide design accuracy (Liu et al., 2017). However, CRISPR-P relies largely on mismatch-based off-target prediction and requires well-annotated genomes, highlighting the need for complementary tools to improve predictive accuracy, especially for species with complex or incomplete genome assemblies (Liu et al., 2017). More broadly, currently available gRNA design tools have distinct limitations related to off-target prediction accuracy, genome coverage, scoring systems, and lack of chromatin context consideration (Heigwer et al., 2014; Naito et al., 2015). For example, CHOPCHOP and CRISPRdirect rely primarily on mismatch-based filtering, while CRISPR-P and CRISPR-PLANT are limited to well-characterized plant genomes (Labun et al., 2019; Haeussler et al., 2016; Lei et al., 2014). In contrast, Cas-OFFinder focuses solely on off-target site identification and does not predict guide efficiency (Bae et al., 2014; Tycko et al., 2019). A summary of these limitations is provided in Supplementary Table S1.
TABLE 2. CRISPR/Cas9 applications in legumes.
| Legume | Target gene | CRISPR/Cas9 mediated strategy | Target gene function | gRNA designing software | Result | Reference |
|---|---|---|---|---|---|---|
| Medicago sativa L | MsC3H | Knockout | Lignin biosynthesis | CRISPR-P | Reduced lignin deposition and improved forage quality | Wolabu et al. (2024) |
| MsFTa1 | Knockout | Floral integrator and activator gene | CRISPR-P | Higher forage biomass yield | Wolabu et al. (2023) | |
| MsSGR | Used different promoters to drive Cas9 expression | Chlorophyll-degrading Mg++-dechelatase | CRISPR-P | Strong, mild and weak mutants | Wolabu et al. (2020) | |
| Medicago truncatula | MtLYK10 | Knockout | Nodule symbiosis | CRISPR-P 2.0 and targetDesign | Delayed nodulation in mutant plants | Zhang C. et al., 2024 |
| MtZPT2-2 | Knockout | Negatively regulates salt tolerance | - | Increased Na+ accumulation | Huang et al. (2024) | |
| ChOMT1 | Gene disruption | Produce 4,4 -dihydroxy-2 -methoxychalcone (DHMC) | CRISPR-P 2.0 | Decreased DMHC and bioreporter luminescence in rhizospheres | Wu et al. (2024b) | |
| MtSOC1 | Knockout | Promotes flowering | Geneious prime software v 2019.1.1 | No flowering | Poulet et al. (2024) | |
| MtHHO3 | Loss-of-function | Negatively regulates salt tolerance | - | Resistant to salt stress | Wang et al. (2024b) | |
| NCR086 and NCR314 | Knockout | Involved in differentiation of rhizobia | CRISPOR | Ineffective symbiotic phenotype | Saifi et al. (2024) | |
| PALM1 | Knockout | Encodes a Cys(2)His(2) zinc finger transcription factor | CRISPOR | Multifoliate phenotype | Zhao et al. (2024) | |
| NCR068, NCR089, NCR128 and NCR161 | Targeted mutagenesis (InDel) | Control terminal differentiation of endosymbiotic rhizobia in nodules | CRISPOR | NCR peptides are not essential for symbiosis | Güngör et al. (2023) | |
| MtSUP | Targeted loss-of-function | Regulate floral organ number | ARES-GT software | Multi-flower phenotype | Rodas et al. (2021) | |
| CYP93E2 and CYP72A61 | Gene disruption by indels | Soyasapogenol B biosynthesis | CRISPR-P | 51 cyp93e2 mutant plant lines | Confalonieri et al. (2021) | |
| MtPDS | Knockout | Codes for phytoene dehydrogenase/Chromoplastic protein | - | Plant obtained with 70% mutation efficiency | Wolabu et al. (2020) | |
| MtPDS | Knockout | Codes for phytoene dehydrogenase/Chromoplastic protein | - | Homozygous and biallelic mutants | Zhang et al. (2020) | |
| NPD genes | Multiplex genome editing | Responsible for nodulation | - | Smaller and ineffective nodules, earlier onset of nodule senescence | Trujillo et al. (2019) | |
| MtHen1 | Gene disruption by indels | Encodes for Hua enhancer1 gene | Broad Institute’s sgRNA designer | Efficient mutation | Curtin et al. (2018) | |
| PHO2-like, PNO1-like, and PEN3-like | Knockout (frame-shift mutations) | Responsible for rooting and nodulation | Broad Institute’s sgRNA designer v.1 | Decreased nodule production | Curtin et al. (2017) | |
| MtPDS | Targeted mutagenesis | Codes for phytoene dehydrogenase/Chromoplastic protein | - | Albino plants | Meng et al. (2017) | |
| GmGS1, GmCHI20, MtGUS | Targeted mutagenesis | - | http://stuparcrispr.cfans umn.edu/CRISPR | Mutated genes | Michno et al. (2015) | |
| Pisum sativum | PsBAS1 | Knockout | Enzyme involved is saponin biosynthesis | CCTop | 99.8% reduction of saponins in their seeds | Hodgins et al. (2024) |
| LOX | Knockout | Generate specific volatile organic compounds | CCTop | Improved aroma and fatty acid profiles | Bhowmik et al. (2023) | |
| PsPDS | Knockout | Causes albinism | - | Albino-phenotype mutants | Li G. et al. (2023) | |
| Cajanus cajan | CcPDS | Knockout | Codes for phytoene dehydrogenase/Chromoplastic protein | CHOPCHOP | Albino phenotype with 15% transformation efficiency | Prasad et al. (2024) |
| Cicer arietinum | CaPDS | Knockout | Codes for phytoene dehydrogenase/Chromoplastic protein | CHOPCHOP | Mutants with albino phenotypes | Gupta et al. (2023) |
| 4CL, RVE7 | Knockout | Drought tolerance | CHOPCHOP and CCTop | High efficiency in editing | Badhan et al. (2021) | |
| CaSal1 | Base editing | Drought tolearnce | CHOPCHOP | Improved drough tolerance | Abdallah et al. (2025) | |
| Arachis Hypogaea L | AhFAD2A and AhFAD2B | Targeted mutagenesis | Converts oleic acid to linoleic acid | CHOPCHOP | Increased ratio of oleic acid to linoleic acid in mutant plants | Rajyaguru and Tomar (2024) |
| AhPDS | Knockout | Codes for phytoene dehydrogenase/Chromoplastic protein | CHOPCHOP | Albino phenotype with 20% transformation efficiency | Prasad et al. (2024) | |
| AhALS | Base editing | Targeted by over 50 commercial herbicides | - | Herbicide resistance in peanut | Shi et al. (2023) | |
| AhNFR1 and AhNFR5 | Knockout | Nodulation | CRISPR-P | Functional validation | Shu et al. (2020) | |
| AhFAD2 | Knockout | Seed content improvement | CRISPR-P 1.0 | G448A, 441_442insA, G451T mutations | Yuan et al. (2019) | |
| Vigna unguiculata | VuSPO11-1 | Knockout | Meiosis gene | - | Mutation induced | Che et al. (2021) |
| SPO11-1, REC8 and OSD1 | Knockout | Meiosis genes | CRISPRdirect | Male and female sterilities | Juranić et al. (2020) | |
| SNF | Disruptive mutations | Symbiotic nitrogen fixation genes | CRISPR-P2.0 | Blocked nodule formation | Ji et al. (2019) | |
| Glycine max | GmGLY1 | Knockout | Biosynthesis of glycitein (GLC) | CRISPR-P and CRISPR-PLANT | Decreased glycitein and increase daidzein content | Zhang P. et al. (2024) |
| GmFATA1 and GmFATA2 | Frameshift mutations and knockouts | Encodes for oleoyl-ACP thioesterases | - | Increased beneficial fatty acid and oleic acid | Liao et al. (2024) | |
| GmOMT7 | Knockout | Regulate the isoflavone content | http://crispr.hzau.edu Cn/CRISPR2/ | Decreased isoflavone content in mutant plants | Yang et al. (2024) | |
| lincRNA lincCG1 | Larger deletions | Regulate gene expression | CRISPR-P | β-conglycinin-deficient soybean lines | Song et al. (2024) | |
| GmDMEa | Knockout | Reduces seed size | Geneious software (v8.0) | Larger seeds and greater yields | Wang W. et al. (2024) | |
| Tof4b | Reading frame disruption | Delay flowering | - | Early flowering under long-day photoperiods | Fang et al. (2024) | |
| GmCRY1 | Knockout | Regulate leaf senescence in response to blue light signals | CRISPRdirect | Show delayed leaf senescence and improve yield in fields | Li Z. et al. (2024) | |
| GmSUT4.2 | Knockout | Sucrose transport | CRISPR-GE | Small leaf phenotype | Wu X. et al. (2024) | |
| qFT13-3 | InDel | Downregulates the expression of GmELF3b-2 | CRISPR-P | qft13-3 mutants shorten the maturity period by 11 days | Li Y. F. et al. (2024) | |
| GmDWF1a and GmDWF1b | InDel | Brassinosteroid biosynthesis | CRISPR-P | Dwarf phenotype | Xiang et al. (2024) | |
| SWEET11 and SWEET21 | Knock out | Sucrose transport from the cotyledon to the hypocotyl | CRISPRdirect | Elongated hypocotyl phenotype | Su et al. (2024) | |
| GmUVR8a, b, c, d | Knock out | Receptor-perceived UV-B signal for Shoot-to-root communication | - | Leaf browning | Chen et al. (2024) | |
| GmMATE100 | InDel | Import soyasaponins A and B into vacuoles | CRISPR-P 2.0 | Decreased type-A and type-B soyasaponin contents roots | Ma et al. (2024) | |
| MutL homolog 1 | Knock out | Meiotic crossover formation | - | Reduced pollen grain viability and increased embryo sac abortion | Wu T. et al. (2024) | |
| GmNF-YC4 | Frameshift InDels | Delays flowering and maturation | CRISPR-P | Accelerated flowering and maturation under long day conditions | Cai et al. (2024) | |
| GmCEP6 | InDel | Positively regulate nodulation | - | Significantly affected nodulation | Wu et al. (2024a) | |
| J, JLa and JLb | Frameshift indels | Regulate flowering time and increase yield in soybean | - | Delayed flowering phenotype | Li H. et al. (2024) | |
| GmAP1d | Knockout causing frameshift indels | Regulates flowering time under long-day photoperiods | CRISPRdirect | Flowering promoted under long-day conditions | Guo et al. (2024) | |
| GmARM | Knockout causing frameshift indels | Hormone response and stress regulation | - | Improved resistance to multiple stresses | Luo et al. (2024) | |
| E4 gene | Knockout | Photoperiodic flowering and maturity in soybean | CRISPR-P | Promotes maturation | Wu et al. (2024a) | |
| GmHSP23.9 | Knockout | Regulate nodulation under elevated CO2 condition | CRISPR-P | Decrease in nodule number in response to elevated CO2 concentration | Niu et al. (2024) | |
| GmFAD2 | Single base deletion and substitution | Oleic acid content | CRISPR-P | Creation of high oleic acid | Zhou et al. (2023) | |
| GmPDCT | Knockout | Regulation of oil synthesis | - | Creation of high oleic acid germplasm | Li H. B. et al. (2023) | |
| GmSPL2b | Knockout | Regulation of heat tolerance during flowering | CRISPR-P 2.0 | Creation of heat-resistant varieties | Ding et al. (2023) | |
| GmTAP1 | Knockout | Regulation of resistance to soybean blast | - | Creation of blast-resistant germplasm | Liu et al. (2023) | |
| GmVPS8a | Small indels | Regulation of phenotype | CRISPR-P | Verify that the gene is a multifunctional gene | Kong et al. (2023) | |
| KAS1 | InDel mutations | Conversion of sucrose to oil | CRISPR-P | InDel mutations | Virdi et al. (2020) | |
| GmFT2a and GmFT5a | Knockout | Flowering time | CRISPR-P | ft2a, ft5a, and ft2aft5a mutants | Cai et al. (2020) | |
| GmFAD2-1A, GmFAD2-2A | Targeted mutagenesis | Peakoil biosynthesis | CRISPR-P | Increased oleic acid content | Wu et al. (2020) | |
| Pooled platform-102 candidate gene | Multiplex mutations | - | CRISPR-P | Multiplex mutations | Bai et al. (2020) | |
| GmKIX8-1 | Loss-of-function mutagenesis | Regulates organ size | CCTop | Increased leaf and seed size | Nguyen et al. (2021) | |
| FAD2-2 | Targated mutagenesis | Seed content improvement | CRISPR-P | Increased oleic acid content | Al Amin et al. (2019) | |
| GmSPL9 | Knockout | Plant architecture | CRISPR-P | Altered plant architecture | Bao et al. (2019) | |
| Glyma06g136900 | InDel mutations | Uncharacterized protein | - | InDel mutations | Di et al. (2019) | |
| Glyma03g36470 | InDel mutations | Eukaryotic translation initiation factor | - | InDel mutations | Di et al. (2019) | |
| Glyma14g04180 | InDel mutations | Late-embryogenesis abundant protein | - | InDel mutations | Di et al. (2019) | |
| GmFAD2-1A, GmFAD2-1B | Knockout using dual gRNA | Peakoil biosynthesis | CCTop | Increased oleic acid content | Do et al. (2019) | |
| Conglycinin (7S) and glycinin (11S) | Targeted knockout mutagenesis | Storage proteins | CRISPR-PLANT | Mutations in 3 of 9 genes | Li et al. (2019) | |
| GmDrb2a and GmDrb2b | Multiplexed targeting | Double-stranded RNA-binding2 | Broad Institute’s sgRNA designer | Biallelic double mutant | Curtin et al. (2018) | |
| GmFT2a and GmFT5a | Deletion mutations | Flowering time | CRISPR-P | Deletion mutations | Cai Y. et al. (2018) | |
| GmPDS11 and GmPDS18 | Targeted mutagenesis | Coding phytoene dehydrogenase/chromoplastic protei | CRISPR-P and CRISPR-PLANT | Albino and dwarf buds | Du et al. (2016) | |
| Glyma06g14180 | Knockout | Uncharacterized protein | - | Targeted mutations created | Sun et al. (2015) | |
| Glyma08g02290 | Knockout | Potassium transporter | - | Targeted mutations created | Sun et al. (2015) | |
| Glyma12g37050 | Knockout | Ethylene receptor | - | Targeted mutations created | Sun et al. (2015) | |
| GmFEI2 | Knockout to induce targeted indel mutations | LRR receptor-like serine/threonine-protein kinase FEI 2 | CRISPR-P | Targeted mutations created | Cai et al. (2015) | |
| GmSHR | Knockout to induce targeted indel mutations | Short root protein | CRISPR-P | Targeted mutations created | Cai et al. (2015) | |
| DD20 and DD43 | Knockout | Two genomic sites on chromosome 4 | - | Targeted mutations created | Li et al. (2015) | |
| Lotus japonicus | LYS6 and LYS7 | Insertional mutation | Regulate arbuscular mycorrhiza | CRISPR-P | Reduced hyphal colonization and arbuscule formation | Fukuda et al. (2024) |
| Lbs genes | Knockout | Nodule senescence | CRISPR-P | Early nodule senescence | Wang et al. (2019) | |
| CYP716A51 | Frame-disrupting indels | Triterpenoid production | CRISPRdirect | Non-production of triterpenoids | Suzuki et al. (2019) | |
| LjCZF1 and LjCZF2 | Frameshift mutations | Root nodule symbiosis | CRISPR-P | Decreased nodule formation | Cai K. K. et al. (2018) | |
| SNF gene | Knockout | Symbiotic nitrogen fixation | CRISPR-P | Mutation induced | Wang et al. (2016) |

The use of dual gRNA (dgRNA) and multiplex gRNA strategies in legumes represent an emerging trend, although published reports remain limited. The dgRNA approach employs Cas9 Nickase guided by two gRNAs binding opposite strands, enabling targeted deletions (Jin and Marquardt, 2020; Song et al., 2024). In soybean, dgRNA-mediated editing has been successfully applied in several studies. Cai Y. et al. (2018) generated targeted deletions ranging from 599 to 1618 bp in GmFT2a and GmFT5a, with deletion frequencies of 15.6% and 15.8%, respectively. Do et al. (2019) edited the homeologous genes GmFAD2–1A and GmFAD2–1B, resulting in improved fatty acid composition. More recently, Song et al. (2024) used this strategy to develop β-conglycinin-deficient soybean lines, enhancing nutritional quality. Multiplex gRNA systems have also demonstrated considerable potential. Using the polycistronic tRNA–gRNA (PTG) method in Medicago sativa, Wolabu et al. (2020) achieved up to 75% mutation efficiency when targeting the stay-green gene (MsSGR), approximately 30-fold higher than single gRNA approaches. Subsequent multiplex editing of MsFTa1 produced delayed-flowering mutants with a 78% and 76% increase in fresh weight and dry weight, respectively (Wolabu et al., 2023).
Effective gRNA design in legumes is further complicated by the fact that approximately 25% of legume species are polyploids or paleopolyploids, including alfalfa, peanut, and soybean (May et al., 2023). Polyploid genomes pose challenges beyond those encountered in diploid systems, including the need for conserved guides capable of targeting multiple alleles simultaneously, sub genome dominance, biased homeolog expression, and incomplete reference assemblies (Liu G. et al., 2020). When cultivar-specific genome sequences are unavailable, guides designed from reference genomes may fail due to SNP mismatches between the reference and target genotype, necessitating careful validation prior to experimental use (Saha et al., 2024). Incomplete assemblies may also overlook gene duplications or allelic variants, increasing the risk of missing important homologous targets (Zhang L. et al., 2021).
Finally, the efficacy of the selected guides can be tested in vivo (like protoplast transfection, hairy root transformation) or in vitro (sgRNA In Vitro Transcription and screening kit), before taking experiments at scale.
2.3.4 CRISPR/Cas9 applications in legumes
CRISPR/Cas9 genome editing is now widely used in many legume species to improve both yield and quality traits, including oil composition, forage quality, and grain yield, etc. Applications of gene editing in major legumes via CRISPR/Cas9 is presented in Table 2. However, the commercialization of gene-edited crops requires regulatory approval under existing legislative and policy frameworks (Jones, 2015). Despite the growing number of reported applications, several biological and technical challenges continue to restrict the broader adoption of genome editing in legumes. Many legume species are recalcitrant to in vitro regeneration and transformation (Yadav et al., 2017). As a result, only certain tissues, such as immature cotyledons and mature cotyledons with embryonal axis, show ability to transform while others have capability of regeneration. Obtaining successful rooting is yet another obstacle. Several legumes lack stable regeneration protocol due to poor rooting, however efficient grafting techniques were reported (Das et al., 2017; Dewir et al., 2016). Agrobacterium mediated transformation is the primary method for transformation in grain legumes with few instances of biolistic transformation (Yadav et al., 2017; Das et al., 2017; Singh et al., 2022). Among the studied legumes, soybean stands out as the species with the most successful CRISPR/Cas9 applications (Bhowmik et al., 2021). Nevertheless, the use of CRISPR/Cas9 editing has potential to overcome the mentioned obstacles due to its precision, high efficiency and targeted editing of the gene of interest (Das and Acharjee, 2024).
2.3.4.1 M. truncatula (Alfalfa)
M. truncatula serves as a key model legume because of its small, diploid genome, short life cycle, ability to reproduce by both selfing and outcrossing, production of indeterminate nodules, and the availability of a fully sequenced genome (Bottero et al., 2021). To validate genome editing efficiency and establish proof of concept, the PHYTOENE DESATURASE (PDS) gene was first targeted (Meng et al., 2017; Zhang et al., 2020). Trujillo et al. (2019) used multiplex CRISPR/Cas9 editing in M, truncatula to knock out up to five NPD (PLAT domain) genes. Mutants with multiple npd knockouts showed smaller, an early onset of nodule senescence or ineffective nodules, demonstrating that NPD proteins are essential for proper nodule development. Later, MsSGR gene was edited using CRISPR/Cas9, and the resulting mutants displayed altered coloration, which plays an important role in attracting insects and birds and may contribute to improved pollination (Wolabu et al., 2020). Researchers targeted NOD26 gene to enhance the protein levels and generated plants with different doses of alleles (Bottero et al., 2021). In another study, MtSUPERMAN (MtSUP) gene was edited and mutants showed increased number of floral organs (disrupted floral architecture) (Rodas et al., 2021). Zhu et al. (2021) showed that while single and double MtCEP knockouts had no visible effects, triple (Mtcep1/2/12C) and quintuple (Mtcep1/2/5/8/12C) mutants developed more lateral roots and fewer nodules, demonstrating that MtCEP1, 2, and 12 redundantly regulate lateral root development and symbiotic nodulation. The knockout of the key CYP450gene of the non-hemolytic saponin pathway (CYP93E2), blocked the production of soya sapogenols in the leaves, stems and roots and redirected metabolic flux toward the accumulation of valuable hemolytic sapogenins (Confalonieri et al., 2021). In addition, editing PHO2 gene using CRISPR/Cas9 led to phosphate hyperaccumulation in the mutants (Miller et al., 2022). More recently, Wolabu et al. (2023) used multiplex CRISPR/Cas9 to knock out all four copies of the flowering gene MsFTa1, producing plants that flowered later and accumulated substantially greater biomass, with increases of up to 78% and 76% fresh weight and dry weight, respectively as compared to control. These studies demonstrate the versatility of CRISPR/Cas9 in M. truncatula, supporting both tool optimization and functional analysis of key genes in nodulation, development, and secondary metabolism.
2.3.4.2 L. japonicus
L. japonicus is also a key model legume that forms determinate nodules, like soybean and cowpea. CRISPR/Cas9 has been effectively applied for this crop, beginning with Wang et al. (2016), used hairy root transformation to mutate SNF (symbiotic nitrogen fixaton)-related genes. Cai et al. (2018a) edited cytokinin receptor Lotus histidine kinazI-interacting protein (LjCZF1), showing that its knockout reduced infection threads and nodules, confirming its role as a positive regulator of symbiotic nodulation. Wang et al. (2019) further demonstrated that loss of leghemoglobins (Lbs) causes early nodule senescence. Additionally, CYP716A51 loss-of-function mutants revealed that this gene is required for producing C28-oxidized triterpenoids in L. japonicus hairy roots.
2.3.4.3 G. max L. (Soybean)
Soybean is an important crop rich in protein and oil content and widely used for human and animal consumption (Freitas-Alves et al., 2025). The use of genome-editing tools has been accelerated to improve key agronomic traits in soybean (Bao et al., 2020). Initially, CRISPR studies were performed in hairy roots and protoplasts as low efficiency has been reported for stable transformation. Two endogenous genes (GmFE12 and GmSHR) were targeted, and mutations (10%–93.3%) were detected in hairy roots (Cai et al., 2015; Li et al., 2015; Sun et al., 2015). Later, single gRNA was used to mutate GmPDS, GmFAD2 (Fatty Acid Desaturase 2), GmALS (Acetolactate Synthase) genes (Zhang D. et al., 2021). Major advances have been made in flowering regulation, editing of GmFT2a and GmFT5a created late-flowering, heritable, transgene-free lines (Cai et al., 2020). Inactivation of E1 leads to reduction in photoperiod sensitivity (Wan et al., 2022). Similarly, GmPRR3b plays a key role in flowering-time, the knockout of gmPRR3bH6, resulted in delayed growth and floral transition, whereas gmprr37-zgdd mutants flowered early under natural long-day conditions (Li et al., 2020; Wang et al., 2020). The improvement in seed quality has been achieved by knocking out GmLox1/2/3 and eliminate lipoxygenase activity in mutants, in additions glycinin and conglycinin storage-protein genes has also been targeted (Li et al., 2019; Wang et al., 2020). Plant architecture has been modified by targeting GmSPL9, increasing node and branch numbers (Bao et al., 2019). Enhancing fatty-acid composition, FAD2 family members have been targeted and achieved up to 95% efficiency and stable improvements across generations (Al Amin et al., 2019; Wu et al., 2020).
Large-scale CRISPR screens have identified several key regulators of soybean nodulation. The gmric1/gmric2 double mutants showed increased nodule production, whereas nodulation was reduced in gmrdn1 triple mutants (Bai et al., 2020). In another set of studies, optimization of sgRNA expression using soybean U6 promoters improved CRISPR/Cas9 editing efficiency (Di et al., 2019), while egg cell–specific promoter CRISPR/Cas9 systems enabled efficient recovery of heritable mutations in soybean, including edits in reporter and endogenous genes (Zheng et al., 2020). The same strategy also produced high-frequency knockout and in-frame alleles of the oil-biosynthesis gene KASI (Virdi et al., 2020). Taken together, these advances position soybean as one of the most actively edited legume crops, however, wider application will still require further gains in stable transformation efficiency. Moreover, most soybean genome-editing efforts continue to rely on Cas9, nCas9-based base editors, and Cas12a nucleases (Freitas-Alves et al., 2025).
2.3.4.4 V. unguiculata (Cowpea)
Cowpea is a nutritionally important legume valued for its high protein content and associated health benefits. It also exhibits strong symbiotic nitrogen fixation (SNF) capacity, resilience under low-rainfall conditions, and comparatively low fertilizer requirements. Owing to these agronomically important traits, cowpea has become one of the most widely cultivated and economically significant legumes worldwide (Ji et al., 2019; Che et al., 2021), thereby motivating increasing efforts to apply gene-editing technologies for crop improvement. The first demonstration of CRISPR/Cas9-mediated genome editing in cowpea targeted SNF-related genes using a transgenic hairy-root system (Ji et al., 2019). Disruption of both alleles completely abolished nodule formation, although the induced mutations were not inherited, confirming the functional relevance of these genes. Subsequently, meiosis-associated genes, including SPO11-1, REC8, and OSD1, were targeted to explore reproductive manipulation. Biallelic mutations in exon 1 and exon 3 of SPO11-1 disrupted meiosis and resulted in complete male and female sterility in T0 plants, underscoring the essential roles of these reproductive genes (Juranić et al., 2020). More recently, Che et al. (2021) targeted the VuSPO11-1 using CRISPR/Cas9 and reported efficient editing at the intended target site. A transient leaf assay was developed to assess genome-editing constructs prior to stable cowpea transformation, substantially streamlining the editing pipeline and accelerating improvement programs.
Together, these studies establish a foundation for functional-genomics and gene-editing applications in cowpea and highlight the potential of CRISPR-based tools to accelerate genetic improvement in this important legume.
2.3.4.5 C. arietinum L. (Chickpea)
Chickpea is an important legume crop, particularly among vegetarian populations, because it is a rich source of protein. Globally, India ranks first in chickpea production (Mishra, 2025). However, chickpea yield is strongly constrained by a range of biotic and abiotic stresses, with drought and extreme temperatures being among the most critical. Recent studies have demonstrated the potential of CRISPR/Cas9 for improving stress resilience in chickpea. For example, targeted editing of stress-related genes such as 4-coumarate ligase (4CL) and Reveille 7 (RVE7) in chickpea protoplasts has provided important insights into the molecular mechanisms underlying drought tolerance (Badhan et al., 2021). Similarly, casal1 mutants generated through CRISPR/Cas9 exhibited enhanced drought tolerance and altered root architecture, enabling plants to better withstand water stress (Abdallah et al., 2025). Collectively, these findings highlight CRISPR technology as a promising tool for developing chickpea varieties with improved tolerance to drought and heat stress.
2.3.4.6 A. hypogaea (Peanuts or groundnuts)
Groundnut (peanut) is a major legume crop valued for its high oleic acid content, and improving oil quality and content remains a key breeding objective due to its industrial importance, extended shelf life, and antioxidant properties. CRISPR/Cas9-based site-specific genome editing has been successfully used to modify fatty acid biosynthesis to improve oil quality. Neelakandan et al. (2022b) reduced the seed-specific expression of two homologous FAD2 genes while preserving their function in other tissues, leading to increased oleic acid content. In peanut, the genes AhFAD2A and AhFAD2B encode the FAD2 enzyme responsible for converting oleic acid to linoleic acid, and the Indian cultivar GG20 lacks natural mutations in AhFAD2B. Targeted editing of the AhFAD2B gene, which catalyzes the conversion of oleic acid to linoleic acid, was successfully achieved using CRISPR/Cas9 in groundnut protoplast cultures, leading to desirable alterations in fatty acid composition (Rajyaguru and Tomar, 2024). In addition, editing of AhFatB using CRISPR/Cas9 altered the fatty acid profile by reducing palmitic acid and increasing oleic acid levels (Tang et al., 2022). These CRISPR-derived peanut mutants with modified saturated fatty acid content show strong potential for producing healthier, higher-quality peanut oil. Beyond oil quality, CRISPR/Cas9 has also been applied to improve peanut nutritional and agronomic traits. Editing of the major allergen gene Arah2, produced lines with enhanced nutritional suitability for individuals with peanut allergies. Furthermore, Shu et al. (2020) demonstrated the utility of CRISPR/Cas9 in functional genomics by dissecting the role of Nod factor receptors (NREs) in peanut nodulation. Mutants lacking both AhNFR5 genes displayed a Nod− phenotype, whereas plants edited for AhNFR1 genes retained the ability to form nodules after rhizobial inoculation. Together, these studies highlight the versatility of CRISPR/Cas9 for improving oil quality, nutritional safety, and symbiotic nitrogen fixation.
2.3.4.7 P. sativum (Pea)
Lipoxygenase (LOX) enzymes are abundant in seeds and generate volatile organic compounds from polyunsaturated fatty acids, often causing undesirable flavors in legumes such as pea and soybean. CRISPR/Cas9 mediated mutagenesis of PsLOX2 significantly improved seed aroma and fatty acid composition in an elite Canadian pea variety (Bhowmik et al., 2023). In addition, saponins glycosylated triterpenoids responsible for bitter and astringent tastes in pea products were effectively reduced through CRISPR/Cas9 knockout of β-amyrin synthase (PsBAS1), a key enzyme initiating saponin biosynthesis. Targeted editing produced bi-allelic psbas1 mutants with a 99.8% reduction in seed saponins, along with a modest increase in protein content and a slight decrease in starch (Hodgins et al., 2024). Together, these studies demonstrate that CRISPR/Cas9 enables precise, efficient improvement of pea flavor and nutritional quality across cultivars.
2.4 Base editing (BE)
BE represents another CRISPR-derived technology that enables precise nucleotide conversions without generating DSBs. DNA base editors consist of a catalytically impaired Cas nuclease fused to a nucleobase deaminase, and in some configurations, a DNA glycosylase inhibitor. This system directly converts one nucleotide or base pair to another, minimizing unwanted by-products (Rees and Liu, 2018). Several BE systems have been developed to date, including the two foundational classes, cytosine base editors (CBEs), which convert C•G to T•A, and adenine base editors (ABEs), which convert A•T to G•C, as well as more recently engineered systems such as cytosine and guanine base editors (CGBEs), which convert C•G to G•C and dual base editors capable of simultaneous C to T and A to G conversions within a single editing window (Komor et al., 2016; Gaudelli et al., 2017; Grünewald et al., 2019; Zhao et al., 2021). The feasibility of BE in legumes has now been demonstrated across several species. In soybean, Cai et al. (2020) introduced targeted single-base substitutions in GmFT2a and GmFT4, while CBE was used in peanut to modify AhFAD2A and AhFAD2B, which encode fatty acid desaturase 2 (FAD2), a key enzyme converting oleic acid to linoleic acid (Neelakandan et al., 2022a). More recently, Bai et al. (2023) engineered a high-efficiency CBE by coupling PmCDA1 with a GmRad51 DNA-binding domain, achieving editing efficiencies up to 52.6% and generating plants with the expected non-nodulating phenotype. Advances have also extended to PAM-relaxed systems. Chen et al. (2024) reported the application of CRISPR-SpRY in soybean, demonstrating efficient mutagenesis at non-canonical PAM sites. Both the SpRY-based cytosine editor (SpRY-hA3A) and adenine editor (SpRY-ABE8e) enabled precise C to T and A to G conversions, substantially expanding the accessible target space for soybean genome editing. BE in legumes is constrained by low transformation efficiency, strong recalcitrance to plant regeneration, and limited PAM site availability, which together restrict successful delivery and targeting of editing reagents. Achieving transgene-free edited plants remains particularly difficult in legumes, often requiring multiple generations of segregation, which slows deployment and limits practical adoption (Baloglu al., 2022).
2.5 Prime editing (PE)
PE, first described by Anzalone et al. (2019), represents a versatile and precise genome editing platform. In this system, a Cas9 nickase that introduces a single-strand break is fused to a reverse transcriptase, which synthesizes new DNA using a PE gRNA (pegRNA) as a template. The pegRNA contains a spacer and scaffold region, together with a reverse-transcription template (RTT) carrying the desired edit and a prime-binding site (PBS). PE enables highly accurate sequence modification and is generally less error-prone than conventional CRISPR/Cas systems. It can introduce specific single-base substitutions, supports all 12 possible nucleotide conversions, and can generate targeted insertions and deletions without the need for donor DNA (Mikhaylova et al., 2024). Despite its promise, application of PE in legumes remains limited. To date, only one study has reported its use. Biswas et al. (2022) optimized PE in protoplasts of peanut, chickpea, and cowpea by restoring GFP activity, achieving relatively low editing efficiencies (0.2%–0.5%). PE in plants generally shows lower efficiency compared to standard CRISPR/Cas9, often requiring extensive, time-consuming optimization of the PE gRNA (pegRNA) for each specific target. In legume studies, PE adoption remains limited due to significant biological and technical constraints, primarily characterized by low editing efficiency and high recalcitrance to transformation (Maia et al., 2024). Editing efficiency can be extremely low, sometimes reported between 0.2% and 0.5% in protoplasts, far lower than in rice (Asiamah et al., 2025).
Overall, the application of gene editing techniques for legume improvement is accompanied by both technical and policy-related constraints. From a technical perspective, precision remains a central concern. Although CRISPR/Cas9 is designed to introduce targeted modifications, unintended alterations may occur at genomic sites that share partial sequence homology with the intended target. These off-target events can result in unexpected mutations, thereby raising questions about reliability, biosafety, and long-term genetic stability. In addition to technical limitations, regulatory framework across countries significantly influences the development and commercialization of genome-edited crops. The governance of gene-editing technologies differs markedly among jurisdictions, creating uncertainty for breeders, researchers, and seed companies operating in global markets (Singer et al., 2024). Regulatory framework also directly affects the role of gene editing in addressing food security challenges. The ability to rapidly deploy legumes with enhanced tolerance to biotic and abiotic stresses, improved nutritional profiles, or increased productivity depends largely on clear and predictable approval pathways. Regulation of gene-edited crops varies widely worldwide. The European Union and New Zealand apply strict Genetically Modified Organism (GMO) regulations, whereas countries such as the United States, Colombia, Canada, and Argentina follow product-based approaches. Similar policies are used in few Asian countries (India, China, Japan) and Australia (Rose et al., 2020; Asiamah et al., 2025; Thakur et al., 2025). In many countries, uncertainty remains regarding how genome-edited crops should be regulated, partly due to the rapidly evolving nature of genome-editing technologies and inconsistent use of terminology (Pixley et al., 2022). Overcoming current regulatory challenges for gene-edited crops will require coordinated efforts from researchers, investors, policymakers, and consumers. Genome editing may involve the temporary introduction of foreign DNA, may or may not result in transgenic products, and can generate plant varieties that are indistinguishable from those developed through conventional breeding (Pixley et al., 2012). These complexities make the development of clear, science-based regulatory frameworks essential. Researchers can contribute by developing more precise genome-editing technologies with reduced off-target effects and by participating in policy discussions that help establish evidence-based regulations capable of distinguishing gene-edited crops from transgenic crops (Scheben and Edwards, 2018). Investors and funding agencies also play an important role by supporting research and innovation programs that consider regulatory requirements and market needs from the outset, thereby facilitating the successful development and deployment of improved crop varieties (Pixley et al., 2022). In addition, transparent communication and public engagement are essential to inform consumers about the benefits, safety considerations, and ethical aspects of gene-edited crops, helping to build public trust and support informed regulatory decision-making (Lassoued et al., 2021; Mbaya et al., 2022). Gene editing technologies have potential to produce more resilient, nutritious, and high-yielding crops, especially improved legumes, to help meet growing demands for plant-based protein and address climate and disease pressures. Harmonized global regulations would promote responsible use, facilitate trade, and enable these crops to contribute more effectively to sustainable agriculture.
3 Conclusion and future perspectives
Gene editing is rapidly evolving from a gene-disruption tool into a precision breeding platform with significant potential for legume improvement. However, realizing this potential requires addressing the key challenges that currently limit genome editing progress in legumes. Among these challenges, efficient plant transformation and regeneration remains the most critical. The successful outcome of gene editing technologies largely rely on the development of effective pipelines and protocols for transformation and regeneration in legume crops supported by detailed molecular characterization in line with the guidelines laid by regulatory authority. Advances in transformation and regeneration technologies, including transient expression systems, morphogenic regulators, and DNA-free editing approaches, are expected to overcome long-standing genotype dependence and expand gene editing to recalcitrant and underutilized legume species. Beyond transformation barriers, the next phase of legume improvement will increasingly rely on the deployment of BE and PE, and the newly emerging third generation of CRISPR technologies that can address some of the challenges of earlier generations (Gupta and Kumar, 2025). The continued success of genome editing in legumes will also depend on improved functional understanding of gene networks and trait regulation. Expanding omics resources, including pan-genomes, transcriptomes, and epigenomics, will support the identification of high value editing targets. Emerging approaches such as de novo domestication of crop wild relatives (CWRs) and the reintroduction of beneficial alleles through re-wilding strategies provide additional opportunities to generate novel diversity that can be refined through genome editing (Cardi et al., 2023). Research especially in legumes with complex epigenomes shall unlock the full potential of epigenome engineering (Leech et al., 2026).
Major research areas for engineering in legumes are evolving with climate variability with new challenges emerging. Emphasis of higher productivity and improvement of related agronomic traits including plant ideotype, nutrient use-efficiency, machine harvestable genotypes, herbicide-tolerance, climate resilient-traits, disease resistance or tolerance, abiotic stress enhancement, nutritional enrichment and legume–rhizobia interactions are some of the crucial areas. Targeted editing of metabolic pathways (Synthetic Biology) will enable the development of nutrient-dense legumes with reduced anti-nutritional factors, supporting global food nutritional security and sustainability. Niche-specific basic and strategic research needs to be conducted to understand the biochemical basis of the phenotype and generation of omics resources to support the understanding. We advocate use of elite genotypes largely grown by legume farmers and starting genotype for improvement programs.
Looking ahead, the integration of gene editing with pan-genomics, artificial intelligence-assisted target discovery, high-throughput phenotyping and phenomics, and speed breeding will dramatically shorten breeding cycles and improve genetic gain in legumes. Software for designing intuitive gRNA is growing rapidly and newer software versions in synergy with genome sequence information are more efficient and user-friendly. Recently, Artificial Intelligence (AI) enabled design using large language models trained on biological diversity at scale presents a powerful alternative with the potential to generate editors with optimal properties for targeted species, bypassing evolutionary constraints of prokaryotic based editors (Ruffolo et al., 2025).
Ultimately, the successful deployment of gene editing in legumes will depend not only on technological innovation but also on enabling regulatory frameworks and equitable access to genomic resources and editing tools. The development of transgene-free editing approaches may facilitate broader regulatory acceptance and accelerate field deployment. Coordinated progress in technology development, regulatory harmonization, and capacity building in legume-producing regions will be essential to ensure that genome editing contributes effectively to global food security, sustainable agriculture, and resilient cropping systems.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgeed.2026.1789952/full#supplementary-material
Supplementary material Supplementary material at the source
Footnotes
Edited by: Jasmine M. Shah, Central University of Kerala, India
Reviewed by: Amjad Hussain, Huazhong Agricultural University, China
Poulami Sarkar, University of California, Riverside, United States
Zheng Gong, Adelaide University, Australia
Statements
- Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
- Funding
The author(s) declared that financial support was received for this work and/or its publication. AD and GPD are thankful to ICAR Division of Crop Science EFC Genome editing Scheme “Enhancing climate resilience and ensuring food security with genome editing tool” and CRISPR Crop Network, National Agricultural Science Fund, for financial support.
- Author contributions
ST: Writing – original draft, Investigation. SP: Writing – original draft, Investigation. GD: Writing – review and editing. GM: Writing – review and editing. AD: Writing – review and editing, Conceptualization.
References
- Abdallah N., Sabouni K. A., Hamwieh A., Abdallah A., Alsekhni N., Elarabi N. (2025). Agrobacterium rhizogenes -mediated CRISPR/Cas9 base editing of CaSal1 enhances drought tolerance in chickpea. Int. J. Agric. Biol. 33, 1 – 8. doi:10.17957/IJAB/15.2270
- Afzal M., Alghamdi S. S., Migdadi H. H., Khan M. A., Mirza S. B., El-Harty E. (2020). Legume genomics and transcriptomics: from classic breeding to modern technologies. Saudi J. Biol. Sci. 27, 543 – 555. doi:10.1016/j.sjbs.2019.11.018
- Al Amin N., Ahmad N., Wu N., Pu X., Ma T., Du Y. (2019). CRISPR-Cas9-mediated targeted disruption of FAD2-2 microsomal omega-6 desaturase in soybean (Glycine max). BMC Biotechnol. 19, 9. doi:10.1186/s12896-019-0501-2
- Anzalone A. V., Randolph P. B., Davis J. R., Sousa A. A., Koblan L. W., Levy J. M. (2019). Search-and-replace genome editing without double-strand breaks or donor DNA. Nature 576, 149 – 157. doi:10.1038/s41586-019-1711-4
- Arora L., Narula A. (2017). Gene editing and crop improvement using CRISPR-Cas9 system. Front. Plant Sci. 8, 1932. doi:10.3389/fpls.2017.01932
- Asiamah J. Y., Mahdi S. H., Tamang K. R., Carson C. B., Koirala P., Reed E. A. (2025). Genome editing in grain legumes for food security. Front. Genome 7, 1572292. doi:10.3389/fgeed.2025.1572292
- Asmamaw M., Zawdie B. (2021). Mechanism and applications of CRISPR/Cas9-mediated genome editing. Biologics 15, 353 – 361. doi:10.2147/BTT.S326422
- Badhan S., Ball A. S., Mantri N. (2021). First report of CRISPR/Cas9-mediated DNA-free editing of 4CL and RVE7 genes in chickpea protoplasts. Int. J. Mol. Sci. 22, 396. doi:10.3390/ijms22010396
- Bae S., Park J., Kim J. (2014). Cas-OFFinder: a fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases. Bioinformatics 30 (10), 1473 – 1475. doi:10.1093/bioinformatics/btu048
- Bai M., Yuan J., Kuang H., Gong P., Li S., Zhang Z. (2020). Generation of a multiplex mutagenesis population via pooled CRISPR-Cas9 in soybean. Plant Biotechnol. J. 18, 721 – 731. doi:10.1111/pbi.13239
- Bai M., Hu X., Lin W., Peng C., Kuang H., Zhong X. (2023). Development of PmCDA1-based high-efficiency cytidine base editors (ChyCBEs) incorporating a GmRad51 DNA-binding domain in soybean. New Crops 1, 100001. doi:10.1016/j.ncrops.2023.07.001
- Baloglu M. C., Celik Altunoglu Y., Baloglu P., Yildiz A. B., Türkö lmez N., Özden Çiftçi Y. (2022). Gene-editing technologies and applications in legumes: progress, evolution, and future prospects. Front. Genet. 13, 859437. doi:10.3389/fgene.2022.859437
- Bao A., Chen H., Chen L., Chen S., Hao Q., Guo W. (2019). CRISPR/Cas9-mediated targeted mutagenesis of GmSPL9 alters plant architecture in soybean. BMC Plant Biol. 19, 131. doi:10.1186/s12870-019-1746-6
- Bao A., Zhang C., Huang Y., Chen H., Zhou X., Cao D. (2020). Genome editing technology and application in soybean improvement. Oil Crop Sci. 5, 31 – 40. doi:10.1016/j.ocsci.2020.03.001
- Bhowmik P., Konkin D., Polowick P., Hodgins C. L., Subedi M., Xiang D. (2021). CRISPR/Cas9 gene editing in legume crops: opportunities and challenges. Legume Sci. 3, e96. doi:10.1002/leg3.96
- Bhowmik P., Yan W., Hodgins C., Polley B., Warkentin T., Nickerson M. (2023). CRISPR/Cas9-mediated lipoxygenase gene editing in yellow pea leads to major changes in fatty acid and flavor profiles. Front. Plant Sci. 14, 1246905. doi:10.3389/fpls.2023.1246905
- Biswas S., Bridgeland A., Irum S., Thomson M. J., Septiningsih E. M. (2022). Optimization of prime editing in rice, peanut, chickpea, and cowpea protoplasts by restoration of GFP activity. Int. J. Mol. Sci. 23, 9809. doi:10.3390/ijms23179809
- Boch J., Scholze H., Schornack S., Landgraf A., Hahn S., Kay S. (2009). Breaking the code of DNA binding specificity of TAL-type III effectors. Science 326, 1509 – 1512. doi:10.1126/science.1178811
- Bottero E., Massa G., González M., Stritzler M., Tajima H., Gómez C. (2021). Efficient CRISPR/Cas9 genome editing in alfalfa using a public germplasm. Front. Agron. 3, 661526. doi:10.3389/fagro.2021.661526
- Cai Y., Chen L., Liu X., Sun S., Wu C., Jiang B. (2015). CRISPR/Cas9-mediated genome editing in soybean hairy roots. PLoS ONE 10, e0136064. doi:10.1371/journal.pone.0136064
- Cai K. K., Yin J., Chao H., Ren Y., Jin L., Cao Y. (2018). A C3HC4-type RING finger protein regulates rhizobial infection and nodule organogenesis in Lotus japonicus. J. Integr. Plant Biol. 60, 878 – 896. doi:10.1111/jipb.12703
- Cai Y., Chen L., Sun S., Wu C., Yao W., Jiang B. (2018). CRISPR/Cas9-mediated deletion of large genomic fragments in soybean. Int. J. Mol. Sci. 19, 3835. doi:10.3390/ijms19123835
- Cai Y., Wang L., Chen L., Wu T., Liu L., Sun S. (2020). Mutagenesis of GmFT2a and GmFT5a by CRISPR/Cas9 expands regional adaptability of soybean. Plant Biotechnol. J. 18, 298 – 309. doi:10.1111/pbi.13199
- Cai Y., Chen L., Liu X., Yao W., Hou W. (2024). GmNF-YC4 delays soybean flowering and maturation by repressing GmFT2a and GmFT5a. J. Integr. Plant Biol. 66, 1370 – 1384. doi:10.1111/jipb.13668
- Cardi T., Murovec J., Bakhsh A., Boniecka J., Bruegmann T., Bull S. E. (2023). CRISPR/Cas-mediated plant genome editing: outstanding challenges a decade after implementation. Trends Plant Sci. 28 (10), 1144 – 1165. doi:10.1016/j.tplants.2023.05.012
- Ceasar S. A., Rajan V., Prykhozhij S. V., Berman J. N., Ignacimuthu S. (2016). Insert, remove or replace: a highly advanced genome editing system using CRISPR/Cas9. Biochim. Biophys. Acta Mol. Cell Res. 1863, 2333 – 2344. doi:10.1016/j.bbamcr.2016.06.009
- Che P., Chang S., Simon M. K., Zhang Z., Shaharyar A., Ourada J. (2021). A rapid and highly efficient cowpea regeneration, transformation, and genome editing system using embryonic axis explants. Plant J. 106, 817 – 830. doi:10.1111/tpj.15202
- Chen J., Xu H., Liu Q., Ke M., Zhang Z., Wang X. (2024). Shoot-to-root communication via GmUVR8–GmSTF3 photosignaling and flavonoid biosynthesis fine-tunes soybean nodulation under UV-B light. New Phytol. 241, 209 – 226. doi:10.1111/nph.19353
- Concordet J., Haeussler M. (2018). CRISPOR: intuitive guide selection for CRISPR/Cas9 genome editing experiments and screens. Nucleic Acids Res. 46 (W1), W242 – W245. doi:10.1093/nar/gky354
- Confalonieri M., Carelli M., Gianoglio S., Moglia A., Biazzi E., Tava A. (2021). CRISPR/Cas9-mediated targeted mutagenesis of CYP93E2 modulates triterpene saponin biosynthesis in Medicago truncatula. Front. Plant Sci. 12, 690231. doi:10.3389/fpls.2021.690231
- Curtin S. J., Zhang F., Sander J. D., Haun W. J., Starker C., Baltes N. J. (2011). Targeted mutagenesis of duplicated genes in soybean with zinc-finger nucleases. Plant Physiol. 156, 466 – 473. doi:10.1104/pp.111.172981
- Curtin S. J., Tiffin P., Guhlin J., Trujillo D. I., Burghardt L. T., Atkins P. (2017). Validating genome-wide association candidates controlling quantitative variation in nodulation. Plant Physiol. 173, 921 – 931. doi:10.1104/pp.16.01923
- Curtin S. J., Xiong Y., Michno J.-M., Campbell B. W., Stec A. O., Čermák T. (2018). CRISPR/Cas9 and TALENs generate heritable mutations for genes involved in small RNA processing in Glycine max and Medicago truncatula. Plant Biotechnol. J. 16, 1125 – 1137. doi:10.1111/pbi.12857
- Das D., Acharjee S. (2024). “ Application of CRISPR/Cas-mediated genome editing techniques in leguminous crops,” in A roadmap for plant genome editing. Editors Ricroch A., Eriksson D., Miladinović D., Sweet J., Van Laere K., Woźniak-Gientka E. (Cham: Springer), 1 – 24. doi:10.1007/978-3-031-46150-7_15
- Das A., Datta S., Thakur S., Shukla A., Ansari J., Sujayanand G. K. (2017). Expression of a chimeric gene encoding insecticidal crystal protein Cry1Aabc of Bacillus thuringiensis in chickpea (Cicer arietinum L.) confers resistance to gram pod borer (Helicoverpa armigera Hubner.). Front. Plant Sci. 8, 1423. doi:10.3389/fpls.2017.01423
- Demorest Z. L., Coffman A., Baltes N. J., Stoddard T. J., Clasen B. M., Luo S. (2016). Direct stacking of sequence-specific nuclease-induced mutations to produce high oleic and low linolenic soybean oil. BMC Plant Biol. 16, 1 – 8. doi:10.1186/s12870-016-0906-1
- Dewir Y. H., Murthy H. N., Ammar M. H., Alghamdi S. S., Al-Suhaibani N. A., Alsadon A. A. (2016). In vitro rooting of leguminous plants: difficulties, alternatives, and strategies for improvement. Hortic. Environ. Biotechnol. 57, 311 – 322. doi:10.1007/s13580-016-0055-8
- Di Y.-H., Sun X.-J., Hu Z., Jiang Q.-Y., Song G.-H., Zhang B. (2019). Enhancing the CRISPR/Cas9 system based on multiple GmU6 promoters in soybean. Biochem. Biophys. Res. Commun. 519, 819 – 823. doi:10.1016/j.bbrc.2019.09.074
- Ding X. L., Guo J. F., Lv M. L., Wang H. J., Sheng Y., Liu Y. (2023). The miR156b– GmSPL2b module mediates male fertility regulation of a cytoplasmic male sterility–based restorer line under high-temperature stress in soybean. Plant Biotechnol. J. 21, 1542 – 1559. doi:10.1111/pbi.14056
- Do P. T., Nguyen C. X., Bui H. T., Tran L. T. N., Stacey G., Gillman J. D. (2019). Highly efficient dual gRNA CRISPR/Cas9 editing of the homeologous GmFAD2-1A and GmFAD2-1B genes yields high oleic soybean. BMC Plant Biol. 19, 311. doi:10.1186/s12870-019-1906-8
- Du H., Zeng X., Zhao M., Cui X., Wang Q., Yang H. (2016). Efficient targeted mutagenesis in soybean by TALENs and CRISPR/Cas9. J. Biotechnol. 217, 90 – 97. doi:10.1016/j.jbiotec.2015.11.005
- El-Mounadi K., Morales-Floriano M. L., Garcia-Ruiz H. (2020). Principles, applications, and biosafety of plant genome editing using CRISPR-Cas9. Front. Plant Sci. 11, 56. doi:10.3389/fpls.2020.00056
- Fang C., Sun Z., Li S., Su T., Wang L., Dong L. (2024). Subfunctionalisation and self-repression of duplicated E1 homologues fine-tune soybean flowering and adaptation. Nat. Commun. 15, 6184. doi:10.1038/s41467-024-50623-3
- Freitas-Alves N. S., Moreira-Pinto C. E., Távora F. T., Paes-de-Melo B., Arraes F. B., Lourenço-Tessutti I. T. (2025). CRISPR/Cas genome editing in soybean: challenges and new insights to overcome existing bottlenecks. J. Adv. Res. 73, 53 – 72. doi:10.1016/j.jare.2024.08.024
- Fukuda H., Mamiya R., Akamatsu A., Takeda N. (2024). Two LysM receptor-like kinases regulate arbuscular mycorrhiza through distinct signaling pathways in Lotus japonicus. New Phytol. 243, 519 – 525. doi:10.1111/nph.19863
- Gasiunas G., Barrangou R., Horvath P., Siksnys V. (2012). Cas9-crRNA ribonucleoprotein complex mediates specific DNA cleavage for adaptive immunity in bacteria. Proc. Natl. Acad. Sci. U.S.A. 109, E2579 – E2586. doi:10.1073/pnas.1208507109
- Gaudelli N., Komor A., Rees H., Packer M. S., Badran A. H., Bryson D. I. (2017). Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage. Nature 551, 464 – 471. doi:10.1038/nature24644
- Grünewald J., Zhou R., Iyer S., Lareau C. A., Garcia S. P., Aryee M. J. (2019). CRISPR DNA base editors with reduced RNA off-target and self-editing activities. Nat. Biotechnol. 37 (9), 1041 – 1048. doi:10.1038/s41587-019-0236-6
- Güngör B., Biró J. B., Domonkos Á., Horváth B., Kaló P. (2023). Targeted mutagenesis of Medicago truncatula nodule-specific cysteine-rich genes using Agrobacterium rhizogenes -mediated CRISPR/Cas9. Sci. Rep. 13, 20676. doi:10.1038/s41598-023-47608-5
- Guo S., Li Y., Qiu H., Hu G., Zhao C., Wang R. (2024). GmAP1d regulates flowering time under long-day photo periods in soybean. Crop J. 12, 845 – 855. doi:10.1016/j.cj.2024.03.004
- Gupta P. K., Kumar S. (2025). Third-generation novel technologies for gene editing. Trends Biotechnol. 29: 633, 647. doi:10.1016/j.tibtech.2025.07.012
- Gupta R. M., Musunuru K. (2014). Expanding the genetic editing toolkit: zfns, TALENs, and CRISPR-Cas9. J. Clin. Invest. 124, 4154 – 4161. doi:10.1172/JCI72992
- Gupta S. K., Vishwakarma N. K., Malakar P., Vanspati P., Sharma N. K., Chattopadhyay D. (2023). Development of an agrobacterium -delivered codon-optimized CRISPR/Cas9 system for chickpea genome editing. Protoplasma 260, 1437 – 1451. doi:10.1007/s00709-023-01856-4
- Haeussler M., Schönig K., Eckert H., Eschstruth A., Mianné J., Renaud J.-B. (2016). Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR. Genome Biol. 17, 148. doi:10.1186/s13059-016-1012-2
- Haun W., Coffman A., Clasen B. M., Demorest Z. L., Lowy A., Ray E. (2014). Improved soybean oil quality by targeted mutagenesis of the fatty acid desaturase 2 gene family. Plant Biotechnol. J. 12, 934 – 940. doi:10.1111/pbi.12201
- Heigwer F., Kerr G., Boutros M. (2014). E-CRISP: fast CRISPR target site identification. Nat. Methods 11 (2), 122 – 123. doi:10.1038/nmeth.2812
- Hille F., Charpentier E. (2016). CRISPR–Cas: biology, mechanisms, and relevance. Philos. Trans. R. Soc. B Biol. Sci. 371, 20150496. doi:10.1098/rstb.2015.0496
- Hodgins C. L., Salama E. M., Kumar R., Zhao Y., Roth S. A., Cheung I. Z. (2024). Creating saponin-free yellow pea seeds by CRISPR/Cas9-enabled mutagenesis of β-amyrin synthase. Plant Direct 8, e563. doi:10.1002/pld3.563
- Huang R., Jiang S., Dai M., Shi H., Zhu H., Guo Z. (2024). Zinc finger transcription factor MtZPT2-2 negatively regulates salt tolerance in Medicago truncatula. Plant Physiol. 194, 564 – 577. doi:10.1093/plphys/kiad527
- Jain D., Jones L., Roy S. (2023). Gene editing to improve legume–rhizobia symbiosis in a changing climate. Curr. Opin. Plant Biol. 71, 102324. doi:10.1016/j.pbi.2022.102324
- Ji J., Zhang C., Sun Z., Wang L., Duanmu D., Fan Q. (2019). Genome editing in cowpea (Vigna unguiculata) using CRISPR-Cas9. Int. J. Mol. Sci. 20, 2471. doi:10.3390/ijms20102471
- Jiang F., Doudna J. A. (2017). CRISPR-Cas9 structures and mechanisms. Annu. Rev. Biophys. 46, 505 – 529. doi:10.1146/annurev-biophys-062215-010822
- Jin Y., Marquardt S. (2020). Dual sgRNA-based targeted deletion of large genomic regions and isolation of heritable Cas9-free mutants in Arabidopsis. Bio Protoc. 10, e3796. doi:10.21769/BioProtoc.3796
- Jinek M., Chylinski K., Fonfara I., Hauer M., Doudna J. A., Charpentier E. (2012). A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337, 816 – 821. doi:10.1126/science.1225829
- Jones H. D. (2015). Regulatory uncertainty over genome editing. Nat. Plants 1, 14011. doi:10.1038/nplants.2014.11
- Juranić M., Nagahatenna D. S. K., Salinas-Gamboa R., Hand M. L., Sánchez-León N., Leong W. H. (2020). A detached leaf assay for testing transient gene expression and gene editing in cowpea (Vigna unguiculata). Plant Methods 16, 88. doi:10.1186/s13007-020-00630-4
- Komor A., Kim Y., Packer M., Zuris J. A., Liu D. R. (2016). Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature 533, 420 – 424. doi:10.1038/nature17946
- Kong K. K., Xu M. G., Xu Z. Y., Lv W. H., Lv P. Y., Begum N. (2023). Dysfunction of GmVPS8a causes compact plant architecture in soybean. Plant Sci. 331, 111677. doi:10.1016/j.plantsci.2023.111677
- Koonin E. V., Makarova K. S., Zhang F. (2017). Diversity, classification and evolution of CRISPR-Cas systems. Curr. Opin. Microbiol. 37, 67 – 78. doi:10.1016/j.mib.2017.05.008
- Kumari S., Keshari A. K., Singh S. K., Pandey S. (2025). CRISPR-based genome editing in pulses: current approaches, challenges, and future prospects. Plant Mol. Biol. 115, 126. doi:10.1007/s11103-025-01655-w
- Labun K., Montague T. G., Krause M., Torres Cleuren Y. N., Tjeldnes H., Valen E. (2019). CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Res. 47 (W1), W171 – W174. doi:10.1093/nar/gkz365
- Lassoued R., Phillips P. W. B., Macall D. M., Hesseln H., Smyth S. J. (2021). Expert opinions on the regulation of plant genome editing. Plant Biotechnol. J. 19, 1104 – 1109. doi:10.1111/pbi.13597
- Leech D., Previtera D. A., Zhang Y., Botella J. R., Crisp P. A. (2026). Precision plant epigenome editing: what, how, and why. Trends Plant Sci. 31 (2), 192 – 204. doi:10.1016/j.tplants.2025.08.009
- Lei Y., Lu L., Liu H.-Y., Li S., Xing F., Chen L.-L. (2014). CRISPR-P: a web tool for synthetic single-guide RNA design of CRISPR-system in plants. Bioinformatics 30 (18), 2676 – 2677. doi:10.1093/bioinformatics/btu445
- Lewis G. P., Schrire B., Mackinder B., Lock M. (2005). Legumes of the world. Richmond, VA: Royal Botanic Gardens, Kew.
- Li Z., Liu Z.-B., Xing A., Moon B. P., Koellhoffer J. P., Huang L. (2015). Cas9–guide RNA directed genome editing in soybean. Plant Physiol. 169, 960 – 970. doi:10.1104/pp.15.00783
- Li C., Nguyen V., Liu J., Fu W., Chen C., Yu K. (2019). Mutagenesis of seed storage protein genes in Soybean using CRISPR/Cas9. BMC Res. Notes 12, 176. doi:10.1186/s13104-019-4207-2
- Li C., Li Y.-H., Li Y., Lu H., Hong H., Tian Y. (2020). A domestication-associated gene GmPRR3b regulates circadian clock and flowering time in soybean. Mol. Plant 13, 745 – 759. doi:10.1016/j.molp.2020.01.014
- Li G., Liu R., Xu R., Varshney R. K., Ding H., Li M. (2023). Development of an Agrobacterium -mediated CRISPR/Cas9 system in pea (Pisum sativum L.). Crop J. 11, 132 – 139. doi:10.1016/j.cj.2022.11.003
- Li H. B., Zhou R. N., Liu P. Y., Yang M. L., Xin D. W., Liu C. Y. (2023). Design of high-monounsaturated fatty acid soybean seed oil using gmpdcts knockout via CRISPR/Cas9. Plant Biotechnol. J. 21, 1317 – 1319. doi:10.1111/pbi.14060
- Li Z., Lyu X., Li H., Tu Q., Zhao T., Liu J. (2024). Low blue light–induced leaf senescence mediated by GmCRY1s in soybean. Nat. Commun. 15, 798. doi:10.1038/s41467-024-45086-5
- Li Y. F., Zhang L., Wang J., Wang X., Guo S., Xu Z. J. (2024). Flowering time regulator qFT13-3 contributes to soybean adaptation to high latitudes. Plant Biotechnol. J. 22, 1164 – 1176. doi:10.1111/pbi.14254
- Li H., Chen Z., Wang F., Xiang H., Liu S., Gou C. (2024). J-family genes redundantly regulate flowering time and increase yield in soybean. Crop J. 12 (3), 944 – 949. doi:10.1016/j.cj.2024.03.013
- Liang G., Zhang H., Lou D., Yu D. (2016). Selection of highly efficient sgRNAs for CRISPR/Cas9-based plant genome editing. Sci. Rep. 6, 21451. doi:10.1038/srep21451
- Liao W., Guo R., Qian K., Shi W., Whelan J., Shou H. (2024). Acyl–acyl carrier protein thioesterases GmFATA1 and GmFATA2 are essential for fatty acid accumulation and growth in soybean. Plant J. 118, 823 – 838. doi:10.1111/tpj.16638
- Liu H., Ding Y., Zhou Y., Jin W., Xie K., Chen L.-L. (2017). CRISPR-P 2.0: an improved CRISPR-Cas9 tool for genome editing in plants. Mol. Plant 10 (3), 530 – 532. doi:10.1016/j.molp.2017.01.003
- Liu M., Rehman S., Tang X., Gu K., Fan Q., Chen D. (2019). Methodologies for improving HDR efficiency. Front. Genet. 9, 691. doi:10.3389/fgene.2018.00691
- Liu Z., Dong H., Cui Y., Cong L., Zhang D. (2020). Application of different types of CRISPR/Cas-based systems in bacteria. Microb. Cell Fact. 19, 172. doi:10.1186/s12934-020-01431-z
- Liu G., Zhang Y., Zhang T. (2020). Computational approaches for effective CRISPR guide RNA design and evaluation. Comput. Struct. Biotechnol. J. 18, 35 – 44. doi:10.1016/j.csbj.2019.12.005
- Liu T. F., Ji J., Cheng Y. Y., Zhang S. C., Wang Z. R., Duan K. X. (2023). CRISPR/Cas9-mediated editing of GmTAP1 confers enhanced resistance to Phytophthora sojae in soybean. J. Integr. Plant Biol. 65, 1609 – 1612. doi:10.1111/jipb.13476
- Luo T., Ma C., Fan Y., Qiu Z., Li M., Tian Y. (2024). CRISPR-Cas9-mediated editing of GmARM improves resistance to multiple stresses in soybean. Plant Sci. 346, 112147. doi:10.1016/j.plantsci.2024.112147
- Ma L., Yuan J., Qin H., Zhang M., Zhang F., Yu F. (2024). GmMATE100 imports soyasaponins A and B into vacuoles in soybean. J. Agric. Food Chem. 72, 9994 – 10004. doi:10.1021/acs.jafc.4c01774
- Maia T. F., Paixão J. F. R., Vidal M. S., Szczyglowski K., De Araújo J. L. S. (2024). Advancements and challenges in CRISPR/cas genome editing for legume crops. Biotechnol. Res. Innov. 8 (1), e2024013. doi:10.4322/biori.00132023
- Makarova K. S., Shmakov S. A., Wolf Y. I., Mutz P., Altae-Tran H., Beisel C. L. (2025). An updated evolutionary classification of CRISPR-Cas systems including rare variants. Nat. Microbiol. 10, 3346 – 3361. doi:10.1038/s41564-025-02180-8
- Makarova K. S., Wolf Y. I., Iranzo J., Shmakov S. A., Alkhnbashi O. S., Brouns S. J. J. (2020). Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants. Nat. Rev. Microbiol. 18, 67 – 83. doi:10.1038/s41579-019-0299-x
- Malzahn A., Lowder L., Qi Y. (2017). Plant genome editing with TALEN and CRISPR. Cell Biosci. 7: 21. doi:10.1186/s13578-017-0148-4
- May D., Paldi K., Altpeter F. (2023). Targeted mutagenesis with sequence-specific nucleases for accelerated improvement of polyploid crops: progress, challenges, and prospects. Plant Genome 16 (2), e20298. doi:10.1002/tpg2.20298
- Mbaya H., Lillico S., Kemp S., Simm G., Raybould A. (2022). Regulatory frameworks can facilitate or hinder the potential for genome editing to contribute to sustainable agricultural development. Front. Bioeng. Biotechnol. 10, 959236. doi:10.3389/fbioe.2022.959236
- Mei Y., Wang Y., Chen H., Sun Z. S., Da J. X. (2016). Recent progress in CRISPR/Cas9 technology. J. Genet. Genomics 43, 63 – 75. doi:10.1016/j.jgg.2016.01.001
- Meng Y., Hou Y., Wang H., Ji R., Liu B., Wen J. (2017). Targeted mutagenesis by CRISPR/Cas9 in the model legume Medicago truncatula. Plant Cell Rep. 36, 371 – 374. doi:10.1007/s00299-016-2069-9
- Michno J.-M., Wang X., Liu J., Curtin S. J., Kono T. J., Stupar R. M. (2015). CRISPR/Cas mutagenesis of soybean and Medicago truncatula using a new web tool and a modified Cas9 enzyme. Gm. Crops Food 6, 243 – 252. doi:10.1080/21645698.2015.1106063
- Mikhaylova E. V., Kuluev B. R., Gerashchenkov G. A., Chemeris D. A., Garafutdinov R. R., Kuluev A. R. (2024). Prime-editing methods and pegRNA design programs. Mol. Biol. (Mosk.) 58, 22 – 39. doi:10.31857/S0026898424010023
- Minkenberg B., Zhang J., Xie K., Yang Y. (2019). CRISPR-PLANT v2: an online resource for highly specific guide RNA spacers based on improved off-target analysis. Plant Biotechnol. J. 17, 5 – 8. doi:10.1111/pbi.13075
- Mishra G. (2025). Revolution and advances in gene editing and genomics technology for developing climate-resilient legume crops: developments and prospects. Plant Mol. Biol. 115, 106. doi:10.1007/s11103-025-01637-y
- Mishra R., Joshi R. K., Zhao K. (2020). Base editing in crops: current advances, limitations, and future implications. Plant Biotechnol. J. 18, 20 – 31. doi:10.1111/pbi.13225
- Mohr S. E., Hu Y., Ewen-Campen B., Housden B. E., Viswanatha R., Perrimon N. (2016). CRISPR guide RNA design for research applications. FEBS J. 283, 3232 – 3238. doi:10.1111/febs.13777
- Mousavi-Derazmahalleh M., Bayer P. E., Hane J. K., Valliyodan B., Nguyen H. T., Nelson M. N. (2019). Adapting legume crops to climate change using genomic approaches. Plant Cell Environ. 42, 6 – 19. doi:10.1111/pce.13401
- Naito Y., Hino K., Bono H., Ui-Tei K. (2015). CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites. Bioinformatics 31 (7), 1120 – 1123. doi:10.1093/bioinformatics/btu743
- Neelakandan A. K., Subedi B., Traore S. M., Binagwa P., Wright D. A., He G. (2022a). Base editing in peanut using CRISPR/nCas9. Front. Genome 4, 901444. doi:10.3389/fgeed.2022.901444
- Neelakandan A. K., Wright D. A., Traore S. M., Chen X., Spalding M. H., He G. (2022b). CRISPR/Cas9-based site-specific modification of FAD2 cis-regulatory motifs in peanut (Arachis hypogaea). Front. Genet. 13, 843563. doi:10.3389/fgene.2022.849961
- Nguyen C. X., Paddock K. J., Zhang Z., Stacey M. G. (2021). GmKIX8-1 regulates organ size in soybean and underlies the major seed weight QTL qSw17-1. New Phytol. 229, 920 – 934. doi:10.1111/nph.16928
- Nishimasu H., Ran F. A., Hsu P. D., Konermann S., Shehata S. I., Dohmae N. (2014). Crystal structure of Cas9 in complex with guide RNA and target DNA. Cell 156, 935 – 949. doi:10.1016/j.cell.2014.02.001
- Niu B., Bai N., Liu X., Ma L., Dai L., Mu X. (2024). The role of GmHSP23.9 in regulating soybean nodulation under elevated CO 2 conditions. Int. J. Biol. Macromol. 274, 133436. doi:10.1016/j.ijbiomac.2024.133436
- Osakabe Y., Osakabe K. (2015). Genome editing with engineered nucleases in plants. Plant Cell Physiol. 56, 389 – 400. doi:10.1093/pcp/pcu170
- Pixley K. V., Falck-Zepeda J. B., Paarlberg R. L., Phillips P. W. B., Slamet-Loedin I. H., Dhugga K. S. (2022). Genome-edited crops for improved food security of smallholder farmers. Nat. Genet. 54, 364 – 367. doi:10.1038/s41588-022-01046-7
- Poulet A., Zhao M., Peng Y., Tham F., Jaudal M., Zhang L. (2024). Gene-edited Mtsoc1 triple mutant Medicago plants do not flower. Front. Plant Sci. 15, 1357924. doi:10.3389/fpls.2024.1357924
- Prasad K., Gadeela H., Bommineni P. R., Reddy P. S., Tyagi W., Yogendra K. (2024). CRISPR/Cas9-mediated mutagenesis of phytoene desaturase in pigeonpea and groundnut. Funct. Integr. Genomics 24, 57. doi:10.1007/s10142-024-01336-9
- Rajyaguru R. H., Tomar R. S. (2024). Induction of a new allelic variant of AhFAD2B in peanut cultivar GG20 through CRISPR/Cas9-mediated mutagenesis. J. Plant Biochem. Biotechnol. 33, 248 – 254. doi:10.1007/s13562-024-00887-z
- Rees H. A., Liu D. R. (2018). Base editing: precision chemistry on the genome and transcriptome of living cells. Nat. Rev. Genet. 19, 770 – 788. doi:10.1038/s41576-018-0059
- Rodas A. L., Roque E., Hamza R., Gómez-Mena C., Minguet E. G., Wen J. (2021). MtSUPERMAN plays a key role in compound inflorescence and flower development in Medicago truncatula. Plant J. 105, 816 – 830. doi:10.1111/tpj.15075
- Rose K. M., Brossard D., Scheufele D. A. (2020). Of society, nature, and health: how perceptions of specific risks and benefits of genetically engineered foods shape public rejection. Environ. Commun. 14 (7), 1017 – 1031. doi:10.1080/17524032.2019.1710227
- Ruffolo J. A., Nayfach S., Gallagher J., Bhatnagar A., Beazer J., Hussain R. (2025). Design of highly functional genome editors by modelling CRISPR–Cas sequences. Nature 645, 518 – 525. doi:10.1038/s41586-025-09298-z
- Saha D., Panda A. K., Datta S. (2024). Critical considerations and computational tools in plant genome editing. Heliyon 11 (1), e41135. doi:10.1016/j.heliyon.2024.e41135
- Saifi F., Biró J. B., Horváth B., Vizler C., Laczi K., Rákhely G. (2024). Two members of a nodule-specific cysteine-rich peptide gene cluster are required for differentiation of rhizobia in Medicago truncatula nodules. Plant J. 119, 1508 – 1525. doi:10.1111/tpj.16871
- Scheben A., Edwards D. (2018). Towards a more predictable plant breeding pipeline with CRISPR/Cas-induced allelic series to optimize quantitative and qualitative traits. Curr. Opin. Plant Biol. 45, 218 – 225. doi:10.1016/j.pbi.2018.04.013
- Shao M., Xu T., Chen C. (2016). The big bang of genome editing technology: development and application of the CRISPR/Cas9 system in disease animal models. Zool. Res. 37, 1 – 11. doi:10.13918/j.issn.2095-8137.2016.4.191
- Shi L., Li X., Xue L., Zhang J., Huang B., Sun Z. (2023). Creation of herbicide resistance in allotetraploid peanut using CRISPR/Cas9-mediated cytosine base editing. Plant Biotechnol. J. 21, 1923 – 1925. doi:10.1111/pbi.141122
- Shu H., Luo Z., Peng Z., Wang J. (2020). Application of CRISPR/Cas9 in hairy roots to explore functions of AhNFR1 and AhNFR5 during peanut nodulation. BMC Plant Biol. 20, 417. doi:10.1186/s12870-020-02614-x
- Singer S. D., Mukthar M. M., Subedi U., Poudel H., Chen G., Foroud N. (2024). CRISPR/Cas-mediated gene editing in plant immunity and its potential for the future development of fungal, oomycete, and bacterial pathogen-resistant pulse crops. Plant, Cell Environ. doi:10.1111/pce.15174
- Singh P., Shukla A., Tiwari N. N., Ansari J., Thakur S., Rathore M. (2022). Routine and efficient in vitro regeneration system amenable to biolistic particle delivery in chickpea (Cicer arietinum L.). Plant Cell Tissue Organ Cult. 148, 699 – 711. doi:10.1007/s11240-022-02230-7
- Song B., Luo T., Fan Y., Li M., Qiu Z., Tian Y. (2024). Generation of new β-conglycinin-deficient soybean lines by editing the lincRNA lincCG1 using CRISPR/Cas9. J. Agric. Food Chem. 72, 15013 – 15026. doi:10.1021/acs.jafc.4c02269
- Su T., Liu H., Wu Y., Wang J., He F., Li H. (2024). Soybean hypocotyl elongation is regulated by a MYB33–SWEET11/21–GA2ox8c module involving long-distance sucrose transport. Plant Biotechnol. J. 22, 2859 – 2872. doi:10.1111/pbi.14409
- Sun X., Hu Z., Chen R., Jiang Q., Song G., Zhang H. (2015). Targeted mutagenesis in soybean using the CRISPR-Cas9 system. Sci. Rep. 5, 10342. doi:10.1038/srep10342
- Suzuki H., Fukushima E. O., Shimizu Y., Seki H., Fujisawa Y., Ishimoto M. (2019). Triterpenoid profile of Lotus japonicus and characterization of CYP716A51 and LjCYP93E1 involved in biosynthesis. Plant Cell Physiol. 60, 2496 – 2509. doi:10.1093/pcp/pcz145
- Tang Y., Huang J., Ji H., Pan L., Hu C., Qiu X. (2022). Genome-wide identification of AhFatB genes and CRISPR/Cas9 knockout reduces saturated fatty acid content in peanut (Arachis hypogaea). Plant Sci. 319, 111247. doi:10.1016/j.plantsci.2022.111247
- Thakur S., Kushwah N., Kumar S., Singh P., Rathore M., Das A. (2021). “ Genome editing using CRISPR/Cas systems in legumes,” in Genome editing in plants. Editor Kumar A. (Cambridge: Academic Press), 89 – 107.
- Thakur S., Kaur S., Adhikari S., Sabharwal P., Fu Y., Meru G. (2025). Turning susceptibility into strength: a new era of durable resistance in plants through genome editing. Plants 14, 3080. doi:10.3390/plants14193080
- Trujillo D. I., Silverstein K. A. T., Young N. D. (2019). Nodule-specific PLAT domain proteins are expanded in the Medicago lineage and required for nodulation. New Phytol. 222, 1538 – 1550. doi:10.1111/nph.15697
- Tycko J., Myer V. E., Hsu P. D. (2019). Methods for optimizing CRISPR-Cas9 genome editing specificity. Nat. Rev. Genet. 20, 515 – 529. doi:10.1038/s41576-019-0137-0
- United Nations General Assembly (2019). World pulses day in 2018. Resolution A/RES/73/251. New York, NY: United Nations.
- Urnov F. D., Rebar E. J., Holmes M. C., Zhang H. S., Gregory P. D. (2010). Genome editing with engineered zinc finger nucleases. Nat. Rev. Genet. 11, 636 – 646. doi:10.1038/nrg2842
- Varshney R. K., Singh V. K., Kumar A., Powell W., Sorrells M. E. (2018). Can genomics deliver climate-change-ready crops? Curr. Opin. Plant Biol. 45, 205 – 211. doi:10.1016/j.pbi.2018.03.007
- Varshney R. K., Pandey M. K., Bohra A., Singh V. K., Thudi M., Saxena R. K. (2019). Toward sequence-based breeding in legumes in the post-genome sequencing era. Theor. Appl. Genet. 132, 797 – 816. doi:10.1007/s00122-018-3252-x
- Virdi K. S., Spencer M., Stec A. O., Xiong Y., Merry R., Muehlbauer G. J. (2020). Similar seed composition phenotypes from CRISPR-generated in-frame and knockout alleles of a soybean KASI ortholog. Front. Plant Sci. 11, 1006. doi:10.3389/fpls.2020.01006
- Wan Z., Liu Y., Guo D., Fan R., Liu Y., Xu K. (2022). CRISPR/Cas9-mediated targeted mutation of E1 decreases photoperiod sensitivity, alters stem growth habit, and reduces branch number in soybean. Front. Plant Sci. 13, 1066820. doi:10.3389/fpls.2022.1066820
- Wang L., Wang L., Tan Q., Fan Q., Zhu H., Hong Z. (2016). Efficient inactivation of symbiotic nitrogen fixation-related genes in Lotus japonicus using CRISPR-Cas9. Front. Plant Sci. 7, 1333. doi:10.3389/fpls.2016.01333
- Wang L., Wang L., Zhou Y., Duanmu D. (2017). “ Use of CRISPR/Cas9 for symbiotic nitrogen fixation research in legumes,” Prog. Mol. Biol. Transl. Sci. 149, 187 – 213. doi:10.1016/bs.pmbts.2017.03.010
- Wang L., Rubio M. C., Xin X., Zhang B., Fan Q., Wang Q. (2019). CRISPR/Cas9 knockout of leghemoglobin genes in Lotus japonicus uncovers their synergistic roles in symbiotic nitrogen fixation. New Phytol. 224, 818 – 832. doi:10.1111/nph.16077
- Wang L., Sun S., Wu T., Liu L., Sun X., Cai Y. (2020). Natural variation and CRISPR/Cas9-mediated mutation in GmPRR37 affect photoperiodic flowering and regional adaptation of soybean. Plant Biotechnol. J. 18, 1869 – 1881. doi:10.1111/pbi.13346
- Wang W., Zhang T., Liu C., Liu C., Jiang Z., Zhang Z. (2024). A DNA demethylase reduces seed size by decreasing DNA methylation of AT-rich transposable elements in soybean. Commun. Biol. 7, 613. doi:10.1038/s42003-024-06306-2
- Wang X., Wei C., Huang H., Kang J., Long R., Chen L. (2024b). The GARP family transcription factor MtHHO3 negatively regulates salt tolerance in Medicago truncatula. Plant Physiol. biochem. 209, 108542. doi:10.1016/j.plaphy.2024.108542
- Wen S., Liu H., Li X., Chen X., Hong Y., Li H. (2018). TALEN-mediated targeted mutagenesis of fatty acid desaturase 2 (FAD2) in peanut promotes oleic acid accumulation. Plant Mol. Biol. 97, 177 – 185. doi:10.1007/s11103-018-0731-z
- Wolabu T. W., Park J. J., Chen M., Cong L., Ge Y., Jiang Q. (2020). Improving the genome editing efficiency of CRISPR/Cas9 in Arabidopsis and Medicago truncatula. Planta 252, 15. doi:10.1007/s00425-020-03415-0
- Wolabu T. W., Mahmood K., Torres-Jerez I., Cong L., Yun J., Udvardi M. (2023). Multiplex CRISPR/Cas9-mediated mutagenesis of alfalfa FLOWERING LOCUS Ta1 (MsFTa1) leads to delayed flowering with improved forage biomass yield and quality. Plant Biotechnol. J. 21, 1383 – 1392. doi:10.1111/pbi.14042
- Wolabu T. W., Mahmood K., Chen F., Torres-Jerez I., Udvardi M., Tadege M. (2024). Mutating alfalfa coumarate 3-hydroxylase using multiplex CRISPR/Cas9 leads to reduced lignin deposition and improved forage quality. Front. Plant Sci. 15, 1363182. doi:10.3389/fpls.2024.1363182
- Wright A. V., Nunez J. K., Doudna J. A. (2016). Biology and applications of CRISPR systems: harnessing nature’s toolbox for genome engineering. Cell 164, 29 – 44. doi:10.1016/j.cell.2015.12.035
- Wu N., Lu Q., Wang P., Zhang Q., Zhang J., Qu J. (2020). Construction and analysis of GmFAD2-1A and GmFAD2-2A soybean fatty acid desaturase mutants using CRISPR/Cas9. Int. J. Mol. Sci. 21, 1104. doi:10.3390/ijms21031104
- Wu S., Chen L., Guo M., Cai Y., Gao Y., Yuan S. (2024a). CRISPR/Cas9-mediated knockout of E4 promotes maturation in soybean. Oil Crop Sci. 9, 170 – 176. doi:10.1016/j.ocsci.2024.05.001
- Wu S., Wang X., Qin J., Tian W., Wang M., Yue A. (2024b). Soybean CEP6 signaling peptides positively regulate nodulation. Agronomy 14, 988. doi:10.3390/agronomy14050988
- Wu T., Yang S., Fang J., Ye Y., Zhang Y., Gao J. (2024). MutL homolog 1 participates in interference-sensitive meiotic crossover formation in soybean. Plant Physiol. 195, 2579 – 2595. doi:10.1093/plphys/kiae165
- Wu X., Mubeen S., Luo D., Cao S., Wang C., Yue J. (2024). Functional characterization of a soybean sucrose transporter GmSUT4.2 involved in plant growth, development, and yield. Plant Growth Regul. 102, 529 – 543. doi:10.1007/s10725-023-01078-x
- Xiang X., Yang H., Yuan X., Dong X., Mai S., Zhang Q. (2024). CRISPR/Cas9-mediated editing of GmDWF1 induces dwarfism in soybean. Plant Cell Rep. 43, 116. doi:10.1007/s00299-024-03204-z
- Xie S., Shen B., Zhang C., Huang X., Zhang Y. (2014). SGRNACAS9: a software package for designing CRISPR SGRNA and evaluating potential Off-Target cleavage sites. PLoS ONE 9 (6), e100448. doi:10.1371/journal.pone.0100448
- Yadav R., Mehrotra M., Singh A. K., Niranjan A., Singh R., Sanyal I. (2017). Improvement in agrobacterium -mediated transformation of chickpea by inhibition of polyphenolics released during wounding. Protoplasma 254, 253 – 269. doi:10.1007/s00709-016-0957-9
- Yang H., Ren S., Yu S., Pan H., Li T., Ge S. (2020). Methods favoring homology-directed repair choice in response to CRISPR/Cas9 induced-double strand breaks. Int. J. Mol. Sci. 21 (18), 6461. doi:10.3390/ijms21186461
- Yang Z., Wu X., Zhu Y., Qu Y., Zhou C., Yuan M. (2024). Joint GWAS and WGCNA identify genes regulating isoflavone content in soybean seeds. J. Agric. Food Chem. 72, e03012. doi:10.1021/acs.jafc.4c03012
- Yuan M., Zhu J., Gong L., He L., Lee C., Han S. (2019). Mutagenesis of FAD2 genes in peanut using CRISPR/Cas9. BMC Biotechnol. 19, 24. doi:10.1186/s12896-019-0516-8
- Zhang X., Ferreira I. R. S., Schnorrer F. (2014). A simple TALEN-based protocol for efficient genome editing in Drosophila. Methods 69, 32 – 37. doi:10.1016/j.ymeth.2014.03.020
- Zhang H., Cao Y., Zhang H., Xu Y., Zhou C., Liu W. (2020). Efficient generation of CRISPR/Cas9-mediated homozygous/biallelic Medicago truncatula mutants using a hairy root system. Front. Plant Sci. 11, 294. doi:10.3389/fpls.2020.00294
- Zhang L., Wang Y., Li T., Qiu H., Xia Z., Dong Y. (2021). Target-specific mutation efficiency at multiple loci using a single sgRNA in soybean. Transgenic Res. 30, 51 – 62. doi:10.1007/s11248-020-00228-5
- Zhang D., Zhang Z., Unver T., Zhang B. (2021). CRISPR/Cas: a powerful tool for gene function study and crop improvement. J. Adv. Res. 29, 207 – 221. doi:10.1016/j.jare.2020.10.003
- Zhang P., Yang C., Wang J., Jiang P., Qi J., Hou W. (2024). Cytochrome GmGLY1 is involved in glycitein biosynthesis in soybean. J. Agric. Food Chem. 72, 10944 – 10957. doi:10.1021/acs.jafc.4c00968
- Zhang C. X., Li R. J., Baude L., Reinhardt D., Xie Z. P., Staehelin C. (2024). CRISPR/Cas9-mediated generation of mutant lines in Medicago truncatula indicates a symbiotic role of MtLYK10 during nodule formation. Biology 13, 53. doi:10.3390/biology13010053
- Zhao D., Li J., Li S., Xin X., Hu M., Price M. A. (2021). Glycosylase base editors enable C-to-A and C-to-G base changes. Nat. Biotechnol. 39 (1), 35 – 40. doi:10.1038/s41587-020-0592-2
- Zhao H., Zhao S., Cao Y., Jiang X., Zhao L., Li Z. (2024). Development of a single-transcript CRISPR/Cas9 toolkit for efficient genome editing in autotetraploid alfalfa. Crop J. 12, 788 – 795. doi:10.1016/j.cj.2023.12.006
- Zheng N., Li T., Dittman J. D., Su J., Li R., Gassmann W. (2020). CRISPR/Cas9-Based gene editing using egg cell-specific promoters in arabidopsis and soybean. Front. Plant Sci. 11, 800. doi:10.3389/fpls.2020.00800
- Zhong Z., Liu C., Liu B., Wang X., Li Y., Xie S. (2022). Plant genome editing using prime editing: progress and challenges. Plant Commun. 3, 100252. doi:10.1016/j.xplc.2022.100252
- Zhou J. M., Li Z. Y., Li Y., Zhao Q. Z., Luan X. C., Wang L. X. (2023). Effects of CRISPR/Cas9 editing modes on soybean fatty acid metabolism via the GmFAD2 family. Int. J. Mol. Sci. 24, 4769. doi:10.3390/ijms24054769
- Zhu L. J., Holmes B. R., Aronin N., Brodsky M. H. (2014). CRISPRSeek: a bioconductor package to identify Target-Specific guide RNAs for CRISPR-CAS9. Genome-Editing systems. PLoSONE 9 (9), e108424. doi:10.1371/journal.pone.0108424
- Zhu F., Ye Q., Chen H., Dong J., Wang T. (2021). Multigene editing reveals that MtCEP1/2/12 redundantly control lateral root and nodule number in Medicago truncatula. J. Exp. Bot. 72, 3661 – 3676. doi:10.1093/jxb/erab093
Citation
Thakur, S., et al. (2026). Advances in gene editing for legume improvement: technologies, progress, and prospects. Frontiers in Genome Editing, Volume 8. https://doi.org/
- Received
- Accepted
- Published
- Volume
- 8 - 2026
Copyright
Copyright © 2026 Thakur, Pareek, Dixit, Meru and Das.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: Alok Das
Article metrics
- Views
- 0
- Downloads
- 0
- Citations
- 0
- Shares
- 0
