Next Article in Journal
Amphibian (Xenopus laevis) Macrophage Subsets Vary in Their Responses to the Chytrid Fungus Batrachochytrium dendrobatidis
Previous Article in Journal
Characterizing the Soil Microbial Community Associated with the Fungal Pathogen Coccidioides immitis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Gene Editing in Ganoderma lucidum: Development, Challenges, and Future Prospects

1
National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
2
Guangdong Yuewei Biotechnology Co., Ltd., Shaoguan 512029, China
*
Author to whom correspondence should be addressed.
J. Fungi 2025, 11(4), 310; https://doi.org/10.3390/jof11040310
Submission received: 10 March 2025 / Revised: 5 April 2025 / Accepted: 9 April 2025 / Published: 14 April 2025

Abstract

:
As an emerging and innovative technology, gene-editing technology has been widely applied in crop breeding, human disease treatment, animal model research, drug and vaccine development, and microbial engineering. We mainly introduce the development of gene-editing technology, the application of clustered regularly interspaced short palindromic repeat/Cas9 (CRISPR/Cas9) in Ganoderma lucidum breeding, the current challenges and optimization strategies in the use of gene-editing technology in Ganoderma breeding, as well as the current status of gene-editing technology in Ganoderma breeding. Finally, the future research directions and innovative strategies that gene editing may explore in Ganoderma breeding are prospects given the existing background, future research directions, and innovative strategies that gene editing may explore in Ganoderma breeding prospects.

1. Introduction

Ganoderma lucidum, a valuable medicinal macro fungus, produces bioactive compounds, including polysaccharides, ganoderic acids (GA), and triterpenoids, with demonstrated immunomodulatory, antitumor, and antioxidant properties [1,2]. These bioactive metabolites have established its importance in pharmaceutical applications and health maintenance. Current research prioritizes functional gene identification and metabolic engineering to enhance bioactive compound production.
Traditional breeding approaches (artificial domestication, mutagenesis, and hybridization) have been employed for strain improvement but are limited by: (i) prolonged breeding cycles, (ii) unpredictable mutagenesis outcomes, (iii) inefficient mutant screening, and (iv) technical complexity [2,3]. These constraints necessitate the development of precise breeding technologies to generate strains with improved yield, stability, and stress resistance.
Gene-editing technologies have revolutionized G. lucidum breeding by enabling precise genetic modifications and significantly accelerating strain development compared to conventional methods. This review systematically examines: (i) the evolution of gene editing platforms, (ii) optimization strategies for fungal applications, and (iii) current implementations and persistent challenges in G. lucidum genetic improvement programs. The integration of these advanced tools has transformed the pace and precision of medicinal mushroom breeding.

2. The Development of Gene-Editing Technology

Gene-editing technology primarily refers to the application of genetic engineering techniques that enable precise modifications to an organism’s genome. This technology facilitates the insertion, deletion, replacement, or modification of DNA, thereby altering specific traits of the organism. In the practical application of G. lucidum breeding, gene-editing technology is predominantly utilized to achieve gene silencing of particular genes for research purposes.

2.1. First Generation: Zinc Finger Nucleases (ZFNs)

Initially developed in the mid-1990s, ZFNs represented the first programmable gene editing tool. Created by fusing zinc finger proteins with the cleavage domain of Fok I restriction endonuclease, ZFNs enabled targeted DNA double-strand breaks (DSBs) [4]. Despite their innovation, ZFNs were limited by design complexity, high production costs, and significant off-target effects, restricting their widespread application [5,6].

2.2. Second Generation: Transcription Activator-like Effector Nucleases (TALENs)

Emerging in 2011, TALENs offered improved design flexibility and an improved targeting range [7]. Composed of TALE domains fused with Fok I nuclease, TALENs demonstrated lower cytotoxicity compared to ZFNs while maintaining similar editing efficiency [8]. However, challenges persisted in the complexity of their construction, delivery efficiency, and production costs [9].

2.3. Third Generation: Clusters of Regularly Spaced Short Palindromic Repeats/Cas9 Protein Systems (CRISPR/Cas9 Systems)

The revolutionary CRISPR/Cas9 system, particularly popularized after 2012, transformed gene editing through its simplicity, versatility, and efficiency [10]. Utilizing RNA-guided DNA recognition, this system significantly reduced the complexity of targeting genetic sequences. CRISPR/Cas9 systems operate through DNA cleavage followed by repair through non-homologous end joining (NHEJ) or homology-directed repair (HDR), with the potential for precise genomic modifications [11,12].

2.4. Precision Gene Editing Tools

Recent advances have produced more precise editing technologies (see Table S1):
Base Editors (BEs): Developed in 2016–2017, cytosine and adenine base editors enable single nucleotide conversions (C-to-T or A-to-G) without requiring DSBs, substantially reducing indel formation [13,14]. Further optimizations have enhanced editing efficiency while maintaining high product purity [15,16,17,18].
Prime Editors (PEs): Introduced in 2019, prime editing combines Cas9 nickase with reverse transcriptase to enable all types of genetic modifications without DSBs or donor DNA templates [19]. Successive generations (PE1 to PE7) have achieved enhanced efficiency and reduced off-target effects through enzyme optimization and the incorporation of DNA repair modulators [20,21,22].
Now, gene-editing technologies have revolutionized multiple fields, including biomedical research (disease modeling, gene therapy, and drug discovery) [23,24,25,26], agriculture (crop improvement and livestock genetic enhancement) [27,28,29], and fungal research (functional genomics and metabolic engineering in species like G. lucidum) [30].
Despite remarkable progress, several challenges remain, such as delivery methods for in vivo applications, off-target effects, and editing precision. Research now focuses on enhancing delivery systems, improving specificity, expanding targeting scope, and addressing ethical implications. These advancements promise to further expand the applications of gene editing in biomedicine, agriculture, and biotechnology.
In this section, the developmental trajectory of genome editing technologies is briefly reviewed, encompassing ZFNs, TALENs, the CRISPR/Cas9 system, and precision editing platforms derived from CRISPR/Cas architectures. The operational mechanisms of these genome editing tools, along with the evolutionary progression of precision editing systems, are systematically summarized (see Figure 1 and Table 1).

3. Application of CRISPR/Cas9 System in G. lucidum

In 2017, the CRISPR/Cas9 system was first implemented in G. lucidum through protoplast transformation using a codon-optimized construct containing the endogenous gpd promoter, Trichoderma reesei terminator, and carboxin resistance marker [37]. The ura3 gene, encoding orotidine-5′-phosphate decarboxylase, was targeted using in vitro transcribed sgRNA, enabling the selection of transformants via 5′-FOA resistance [38]. While this pioneering study demonstrated successful gene editing, the reliance on in vitro transcribed sgRNA introduced potential efficiency limitations due to nucleic acid degradation during synthesis and delivery. The development of continuous in vivo gRNA transcription systems has been pursued to overcome the limitations of in vitro approaches. Pol III promoters have been identified as potential candidates for sgRNA expression in G. lucidum, offering advantages in transcript stability and editing efficiency. However, the characteristic T-stretch termination signals of Pol III promoters generate heterogeneous transcripts with poly-U tails, which may impair CRISPR/Cas9 functionality. Consequently, the systematic evaluation of Pol III promoter variants is required to identify optimal configurations for efficient genome editing [39].
In 2019, through the comparative analysis of U6 promoter sequences across species, conserved regulatory elements were identified and employed to drive sgRNA expression in G. lucidum by Wang et al. [40]. The engineered system, incorporating HDV ribozyme for transcript processing, achieved 21.5% editing efficiency at the ura3 locus, with improved performance relative to non-optimized controls. Successful application was demonstrated in ganoderic acid biosynthesis genes (cyp5150l8, cyp505d13), establishing the U6 promoter’s utility for fungal genome editing. The further exploration of regulatory elements is required to expand the genetic toolbox for G. lucidum.
In 2020, the functional characterization of calcineurin-responsive transcription factors (glcrz1 and glcrz2) in G. lucidum was achieved through CRISPR/Cas9-mediated knockout [41]. While glcrz1 disruption specifically impaired calcium-mediated GA biosynthesis regulation, glcrz2 knockout significantly reduced both mycelial growth and GA production, revealing distinct metabolic roles for these paralogs. Concurrently, editing efficiency was enhanced through strategic intron incorporation in the Cas9 expression cassette, with the endogenous gpd intron increasing ura3 targeting efficiency 10.6-fold [42]. The feasibility of multiplexed editing was demonstrated through dual sgRNA delivery, achieving 36.7% efficiency at the ura3 locus. These studies established critical methodologies for transcriptional regulator analysis and editing optimization in G. lucidum.
In 2022, a CRISPR/Cas9-based in situ complementation system was developed to functionally characterize gl26097, a C2H2-type zinc finger transcription factor in the calmodulin-calcineurin pathway [43]. Knockout strains were generated and subsequently complemented via HDR-mediated reintegration, restoring GA production to wild-type levels. The targeted complementation of cyp5150l8 (lanosterol to GA conversion) increased GA yields, confirming its biosynthetic role. While demonstrating precise genetic restoration, the system requires optimization to address off-target effects and low complementation efficiency.
In 2023, the implementation of ribonucleoprotein (RNP) complexes in G. lucidum genome editing was demonstrated to overcome the limitations of plasmid-based systems [44,45]. RNP delivery achieved 100% editing efficiency at the ura3 locus, with superior performance relative to plasmid transformation (4–18 mutants/107 protoplasts). While RNP efficacy showed sgRNA-dependent variability, membrane permeability enhancement through Triton X-100 treatment significantly improved editing outcomes [38]. Notably, plasmid degradation artifacts were observed to potentially impact fungal viability, underscoring the advantage of RNP approaches for clean genetic modification.
In 2024, efficient genome editing (about 7–8%) was achieved in G. lucidum through optimized protoplast transformation conditions, including 0.2 μM sorbitol buffer (pH 7.0) and a 10:1 protoplast-to-RNP ratio during catA gene targeting [46].
In 2025, a CRISPR/Cas9 RNP delivery system was employed to target mating-type genes (A1/A2) in G. lucidum, enabling cross-nuclear editing, as evidenced by 26 binucleate and 5 mononucleate transformants [47]. However, progressive resistance loss was observed during subculturing, indicating CRISPR-induced genomic instability and declining editing efficiency over time.

4. The Limitations of Gene-Editing Technology in Fungi at Present

4.1. Low Genetic Transformation Efficiency

The complex genetic background and low regeneration efficiency of G. lucidum present significant challenges for CRISPR/Cas system implementation, necessitating the optimization of transformation methodologies. Two primary approaches have been established: (i) Agrobacterium tumefaciens-mediated transformation (ATMT) enables efficient large-fragment integration but requires extensive labor, and (ii) protoplast-mediated transformation (PMT) facilitates multi-copy insertion yet suffers from low regeneration rates and stringent enzyme requirements [30,48].
Transformation efficiency is highly dependent on recipient materials, with mycelia demonstrating superior performance in Agaricus bisporus [49] and protoplasts demonstrating superior performance in Hypsizygus marmoreus [50] when using optimized AMAT conditions. Critical parameters affecting efficiency include: (i) Agrobacterium-protoplast ratios (optimal 1000:1) and co-culture conditions (26 °C with 0.3 mM acetosyringone) [50], and (b) membrane permeability enhancers (0.006% Triton X-100) and the incubation time of RNPs with stain [51]. Selection markers must be carefully chosen to avoid regeneration inhibition [52].
These findings underscore the necessity of species-specific protocol optimization, recipient material selection, and parameter standardization to maximize editing efficiency in fungal systems.

4.2. Low Efficiency of Gene Editing

The multicellular nature of edible fungi presents unique challenges for genome editing, particularly when targeting dikaryotic strains where simultaneous nuclear editing is required to achieve complete modification. Monokaryon isolation through spore suspension plating or protoplast regeneration remains technically demanding and resource-intensive. Transformation material selection critically impacts editing outcomes, necessitating optimized delivery strategies. Three principal delivery approaches have been established for fungal gene editing systems, each offering distinct advantages for overcoming these multicellular constraints.
Three principal delivery strategies have been developed for fungal genome editing applications. First, single-vector systems incorporating both CRISPR/Cas9 and sgRNA components enable efficient plasmid transformation, reducing delivery complexity while permitting multiplexed targeting through co-transformation [53]. Second, stable Cas9-expressing strains can be combined with in vitro transcribed sgRNAs, allowing flexible target switching through sgRNA replacement [38]. Third, RNP complexes offer transient activity through post-editing degradation, eliminating persistent foreign genetic material [44].
Several limitations persist across current delivery approaches. Plasmid-based systems require extensive promoter optimization and codon adaptation to ensure functional protein expression, with large vector sizes potentially compromising transformation efficiency. In addition, the requirements for selectable markers and the labor-intensive optimization process remain significant constraints for plasmid-based approaches [45]. Furthermore, plasmid degradation through endogenous nuclease activity may lead to genomic instability or reduced editing efficiency [45,54]. In G. lucidum, these challenges have been partially addressed through the use of endogenous regulatory elements, with the Pol III-type U6 promoter driving sgRNA expression and the gpd promoter controlling Cas9 transcription [53].
The transformation of in vitro transcribed sgRNA into Cas9-expressing cells presents multiple technical challenges, including costly sgRNA synthesis, complex assembly procedures, and susceptibility to nucleic acid degradation during delivery, all of which significantly impair editing efficiency [37,40]. In contrast, RNP delivery overcomes limitations associated with variable Cas9 expression and sgRNA transcription rates. The transient nature of RNPs prevents host persistence and minimizes off-target effects through post-editing degradation [55,56]. However, residual DNA contaminants in Cas9 protein preparations may cause unintended genomic insertions in G. lucidum, necessitating optimized purification protocols to ensure editing precision [45].
The molar ratio of RNPs critically influences transformation efficiency across fungal species. In Pleurotus ostreatus, RNP concentrations of 5 μg, 10 μg, and 20 μg yielded transformant efficiencies of 100%, 50%, and 27%, respectively [57]. Similarly, Trichoderma reesei required suitable concentration (100 and 170 nM) for detectable editing, achieving 100% efficiency at optimal concentrations [51]. In other research, dose-dependent effects were consistently observed, with maximal ura3 editing in G. lucidum requiring 1000 ng Cas9 per 0.5 μg sgRNA [45]. Systematic optimization identified 220.6 and 294 nM as the ideal RNP range in G. lucidum, producing 35 transformants per 107 protoplasts [44]. These findings demonstrate the necessity of species-specific RNP titration to balance delivery efficiency and resource utilization.

4.3. Low Precision of DNA Repair

The DNA repair landscape in filamentous fungi exhibits distinct characteristics, with NHEJ representing the dominant pathway despite HDR’s superior accuracy [58,59]. The genetic disruption of NHEJ mechanisms, while increasing HDR frequency, often results in growth defects and genomic instability [52]. In G. lucidum, RNP-induced DSBs are primarily repaired via NHEJ, generating variable indels and potential ectopic insertions from host- or vector-derived sequences [45]. Notably, NHEJ inhibition fails to sufficiently activate HDR components, maintaining low HDR: NHEJ ratios [60]. A comparative analysis of G. lucidum revealed that HDR efficiency (4.2 times higher than NHEJ)when offered donor DNA is constrained by donor DNA length (>2 kb reduces efficiency) [61]. The targeted knockout of ku70 confirmed NHEJ predominance, with its silencing significantly enhancing HDR utilization [59]. These findings underscore the necessity for (i) optimized donor DNA design (<2 kb), (ii) NHEJ pathway modulation, and (iii) species-specific repair mechanism characterization to improve editing precision.

5. Optimization Strategies to Overcome the Limitations of Gene Editing in G. lucidum

CRISPR/Cas9 technology has emerged as a transformative genome editing platform, enabling precise DNA sequence modifications with unprecedented efficiency. Currently, the CRISPR/Cas9 system and its derivative editors have been widely applied in mammals [62,63,64], yeast [65,66,67], Arabidopsis thaliana [68,69,70], Oryza sativa [27,71,72,73], Taraxacum mongolicum, and Rehmannia glutinosa [74]. Compared to these species, applying this gene-editing technology in G. lucidum breeding still holds significant potential and room for development.

5.1. Gene Silencing

In the field of gene silencing, researchers have successfully utilized CRISPR/Cas9 technology to achieve gene knockout in the G. lucidum genome. Following the silencing of target genes, functional studies are conducted through phenotypic screening or by analyzing the expression levels of the target gene and related genes within the same pathway [37,40,42,43,75].
However, several technical constraints persist in CRISPR/Cas applications for G. lucidum, including limited targeting scope, suboptimal editing efficiency, off-target effects, and low protoplast regeneration rates. Current optimization strategies focus on: (i) expanding targetable sequences through Cas protein engineering, (ii) enhancing precision via codon optimization and nuclear localization signal incorporation, and (iii) improving fidelity using high-specificity Cas variants. These approaches aim to address the key challenges in fungal genome editing while maintaining editing efficacy.

5.1.1. Lift the Restriction of PAM

The targeting scope of CRISPR systems has been substantially expanded through protein engineering approaches. The directed evolution of SpCas9 yielded variants with relaxed PAM requirements: (i) NG-PAM recognizing variants [76], (ii) SpG/SpRY with broadened recognition (NRN > NYN) [77], and (iii) specialized variants (VQR/VRQR for NGA-PAM; VRER for NGCG-PAM; and xCas9 for NGN-PAM) [78,79,80]. Additional Cas orthologs have been harnessed to further diversify targeting options, including: (a) SaCas9 (NNGRRT-PAM) and its KKH variant (NNNRRT-PAM) [81,82,83], (b) LbCas12a (TTTV-PAM) [84,85], (c) BthCas12b (ATTN-PAM) [86], and (d) AacCas12b (TTN-PAM) [86]. These engineered nucleases have collectively overcome PAM constraints while maintaining editing precision.

5.1.2. Improve Gene Editing Efficiency

Editing efficiency in G. lucidum can be enhanced through codon optimization and nuclear localization signal (NLS) engineering. Species-specific codon adaptation is critical, as demonstrated by the failure of human-optimized Cas9 in Trichoderma reesei [87]. Optimal editing requires: (i) codon usage frequency matching to G. lucidum’s translational machinery and (ii) NLS optimization (copy number, type selection, and insertion site) to ensure proper nuclear localization, with reported ninefold efficiency improvements [15]. These strategies, validated in mammalian and plant systems, provide a framework for G. lucidum genome editing optimization.

5.1.3. Reduce Off-Target Effects

Off-target effects in CRISPR/Cas systems represent a significant challenge: that unintended editing caused by sgRNA mismatches at non-target sequences and random editing mismatches at non-target sequences independent of sgRNA, which can induce genomic instability and unintended phenotypic consequences [88]. The development of high-fidelity Cas variants such as SpCas9-HF has substantially improved editing specificity through engineered reductions in non-target DNA binding affinity [79]. Optimal sgRNA design remains critical, with parameters including GC content below 35% to minimize mismatch potential [89] and computational screening using tools like Cas-Offinder [90], GUIDE-seq [91], and Digenome-seq [92] to eliminate sequences with predicted off-target activity. Delivery method selection further influences specificity, where RNP complexes offer advantages over plasmid-based systems through transient activity and avoidance of overexpression artifacts [93,94]. These combined approaches provide a comprehensive framework for minimizing off-target effects while maintaining editing efficiency in fungal systems.

5.2. Gene Overexpression

G. lucidum contains numerous beneficial metabolites, and one of its breeding objectives is to achieve efficient and stable production of these compounds. Therefore, the CRISPR/Cas9 system can silence inhibitory genes within metabolic synthesis pathways, activating the expression of upstream and downstream genes in a specific pathway. However, limited research has employed the CRISPR/Cas9 system to target and activate specific genes directly. Moreover, indirectly activating other genes through the CRISPR/Cas9 system may inadvertently affect gene expression in different pathways. Consequently, additional strategies can be explored to achieve targeted gene overexpression within shorter growth cycles, including constructing overexpression vectors for transformation, developing suitable chassis cells, and establishing CRISPR activation systems.

5.2.1. Construct Overexpression Vectors to Improve Gene Expression Level

The first strategy involves constructing overexpression plasmids and achieving gene overexpression through PMT or AMT methods. The plasmid-based overexpression of G. lucidum endogenous genes, including HMGR (2-fold GA increase) [95], D9desA (1.2-fold GA enhancement) [96], and LS (6.1-fold GA elevation) [97], has demonstrated significant metabolic engineering potential. In addition, the gpd promoter has been particularly effective at driving gene expression, as evidenced by 75.73% increased triterpenoid production through Gl-aact and CYP51 overexpression [98]. Chassis cell systems offer complementary advantages for recombinant protein production, combining genetic stability with rapid growth and cost efficiency [30]. Escherichia coli has been successfully employed for the high-yield expression of G. lucidum polysaccharide biosynthesis enzymes (PGM, UGPG), with culture conditions systematically optimized to maximize enzyme yield and characterize structural properties [99]. The heterologous expression of Vitreoscilla hemoglobin further enhanced oxygen-dependent bioprocesses in G. lucidum, enabling subsequent increases in extracellular polysaccharide production through the coordinated overexpression of glycosyltransferase genes [100].

5.2.2. Develop CRISPR Activation System for Overexpression

CRISPR-based transcriptional activation systems have been developed by fusing catalytically inactive dCas9 with multiple activation domains, enabling the simultaneous upregulation of target genes without repeated vector construction [101]. The CRISPR-Act 2.0 system demonstrated enhanced activation (3–4-fold) through the MCP-MS2-mediated recruitment of additional VP64 copies to dCas9-VP64 complexes [102]. Further optimization led to CRISPR-Act 3.0, which combined dCas9-VP64 with 10xGCN4-SunTag and TAD modules, achieving 60-fold activation of the rice OsTPR gene and up to 140-fold activation of proanthocyanidin pathway genes when using the gRNA 2.0 scaffold [103]. These systems provide powerful tools for multiplexed gene activation in eukaryotic systems. They also provide a reference solution for the dilemma of G. lucidum breeding.

6. Conclusions and Perspectives

G. lucidum is valued in medicine for its bioactive compounds exhibiting anti-inflammatory, anticancer, antioxidant, and hypoglycemic properties [104]. Therapeutically relevant metabolites include (i) ethanol-extractable fermentation products (GFE) demonstrating hepatoprotective effects [105]; (ii) polysaccharides (GLP) with neuroprotective potential against neurodegenerative disorders [106]; and (iii) triterpenoids, glycoproteins, and unsaturated fatty acids [107]. Current metabolic engineering strategies employ either the heterologous expression of biosynthetic genes in microbial systems [99,108,109] or co-culture with Lactobacillus plantarum for enhanced production [110]. Advanced genome editing technologies are now being implemented to optimize strain development and metabolic output.
CRISPR/Cas9 is now widely used for functional genomics and metabolic engineering in G. lucidum, offering advantages over ZFNs/TALENs in design simplicity, cost, efficiency, and specificity. However, technical limitations remain for its application in G. lucidum breeding programs.
Monokaryotic strain isolation is typically performed prior to genetic transformation to ensure complete nuclear genome targeting, as dikaryotic strains may yield reduced editing efficiency due to partial genome modification. In G. lucidum, monokaryon screening remains technically challenging, commonly involving spore plating or protoplast isolation coupled with clamp connection analysis for verification. Critical optimization parameters include: (i) dikaryotic transition monitoring identification, (ii) microscopic observation protocol optimization, (iii) spore concentration standardization system construction, and (iv) protoplast regeneration efficiency enhancement. Additional considerations encompass species confirmation via ITS sequencing during spore-based methods and the maintenance of protoplast integrity during isolation procedures. The post-mitotic dilution effects must be accounted for when editing dikaryotic strains, while monokaryon isolation from established dikaryons presents significant technical hurdles.
Additionally, the mating-type genes of filamentous fungi can be analyzed to verify monokaryotic status in isolated strains. However, genetic transformation efficiency limitations often complicate positive transformant screening and reduce editing efficacy. Imprecise DNA repair mechanisms may introduce frameshift, missense, or synonymous mutations, potentially causing genomic instability. Off-target effects further compromise editing specificity through the unintended modification of non-target genes. Current optimization strategies include: (i) experimental condition refinement, (ii) codon optimization, (iii) nuclear localization signal incorporation, (iv) delivery system improvement, and (v) homology-directed repair enhancement to increase both editing efficiency and precision.
Base editing enables precise nucleotide conversions in G. lucidum without donor DNA or DSBs, exhibiting higher specificity than CRISPR/Cas9 [111,112,113]. This approach facilitates gene silencing via stop codon introduction [114] and expression modulation through ORF targeting [115]. Optimal sgRNA design using computational tools (CRISPRscan, CRISPR-BETS, and PE-Designer) is essential. In addition, fusion transposons also have the potential to become a new and efficient gene-editing method. For example, Tn7-like transposases can be guided to target sites by the CRISPR/Cas9 system to insert DNA fragments of up to 10 kb [116].
Artificial intelligence (AI) is increasingly being integrated with gene-editing technologies to enhance their precision and efficiency. Machine learning algorithms can analyze multi-omics data (proteomic, transcriptomic, and epigenetic) along with nucleic acid structural predictions to optimize several key aspects: (i) Cas protein-directed evolution, (ii) sgRNA sequence design, and (iii) effector complex engineering. Such AI-guided approaches enable the development of improved editing systems through the computational prediction of optimal protein-RNA configurations, significantly enhancing target recognition while minimizing off-target effects. Furthermore, the AI-assisted optimization of editing components has been shown to increase editing efficiency and product yield in later-stage applications.
In summary, this article provides a comprehensive overview of existing gene-editing technologies. It also elaborates on the applications of the CRISPR/Cas9 system in G. lucidum, the current challenges encountered, and the proposed optimization strategies to overcome these limitations. Finally, innovative ideas and unique perspectives for future research directions are presented based on the current research context, offering scientific evidence and theoretical support for designing future G. lucidum breeding strategies.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof11040310/s1, Table S1: The development overview and optimization strategies of base editors and prime editors.

Author Contributions

Conceptualization, methodology, and writing—original draft, S.H.; review and editing, Y.L., M.C. and Y.H.; and conceptualization, methodology, funding acquisition, and review, H.H. and Z.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was financially supported by the Guangdong Provincial Department of Agriculture and Rural Affairs “Special Support Plan” Project (NYQN2024016), the Guangdong Provincial Science and Technology Special Fund Project (210909154531306), the National Key R&D Program of China (2023YFF1000801), and the GDAS’Project of Science and Technology Development (2022GDASZH-2022010101).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

Authors Zhi Zhang and Huiping Hu were employed by the company Guangdong Yuewei Biotechnology Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Zhou, X.-W.; Su, K.-Q.; Zhang, Y.-M. Applied modern biotechnology for cultivation of Ganoderma and development of their products. Appl. Microbiol. Biotechnol. 2011, 93, 941–963. [Google Scholar] [CrossRef] [PubMed]
  2. Wang, S.; Li, Q.; Lin, X.; Chen, Y.; Zhong, Y.; Zhong, X.; Wang, B.; Liang, X. Application research progress of Ganoderma lucidum breeding technology. Agric. Eng. 2024, 14, 29–34. [Google Scholar] [CrossRef]
  3. Tang, M.; Yao, Y.; Rong, D.; Jiang, M. Research Progress of Edible Fungi Breeding Technology. Edible Fungi China 2022, 41, 1–6+10. [Google Scholar] [CrossRef]
  4. Kim, Y.G.; Cha, J.; Chandrasegaran, S. Hybrid restriction enzymes: Zinc finger fusions to Fok I cleavage domain. Proc. Natl. Acad. Sci. USA 1996, 93, 1156–1160. [Google Scholar] [CrossRef]
  5. Porteus, M.H.; Carroll, D. Gene targeting using zinc finger nucleases. Nat. Biotechnol. 2005, 23, 967–973. [Google Scholar] [CrossRef]
  6. Joung, J.K.; Sander, J.D. TALENs: A widely applicable technology for targeted genome editing. Nat. Rev. Mol. Cell Biol. 2012, 14, 49–55. [Google Scholar] [CrossRef]
  7. Wood, A.J.; Lo, T.-W.; Zeitler, B.; Pickle, C.S.; Ralston, E.J.; Lee, A.H.; Amora, R.; Miller, J.C.; Leung, E.; Meng, X.; et al. Targeted Genome Editing Across Species Using ZFNs and TALENs. Science 2011, 333, 307. [Google Scholar] [CrossRef]
  8. Boch, J.; Bonas, U. Xanthomonas AvrBs3 Family-Type III Effectors: Discovery and Function. Annu. Rev. Phytopathol. 2010, 48, 419–436. [Google Scholar] [CrossRef]
  9. Chandrasegaran, S.; Carroll, D. Origins of Programmable Nucleases for Genome Engineering. J. Mol. Biol. 2016, 428, 963–989. [Google Scholar] [CrossRef]
  10. Jinek, M.; Chylinski, K.; Fonfara, I.; Hauer, M.; Doudna, J.A.; Charpentier, E. A Programmable Dual-RNA-Guided DNA Endonuclease in Adaptive Bacterial Immunity. Science 2012, 337, 816–821. [Google Scholar] [CrossRef]
  11. Yeh, C.D.; Richardson, C.D.; Corn, J.E. Advances in genome editing through control of DNA repair pathways. Nat. Cell Biol. 2019, 21, 1468–1478. [Google Scholar] [CrossRef] [PubMed]
  12. Chang, H.H.Y.; Pannunzio, N.R.; Adachi, N.; Lieber, M.R. Non-homologous DNA end joining and alternative pathways to double-strand break repair. Nat. Rev. Mol. Cell Biol. 2017, 18, 495–506. [Google Scholar] [CrossRef] [PubMed]
  13. Gaudelli, N.M.; Komor, A.C.; Rees, H.A.; Packer, M.S.; Badran, A.H.; Bryson, D.I.; Liu, D.R. Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage. Nature 2017, 551, 464–471. [Google Scholar] [CrossRef] [PubMed]
  14. Komor, A.C.; Kim, Y.B.; Packer, M.S.; Zuris, J.A.; Liu, D.R. Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature 2016, 533, 420–424. [Google Scholar] [CrossRef]
  15. Koblan, L.W.; Doman, J.L.; Wilson, C.; Levy, J.M.; Tay, T.; Newby, G.A.; Maianti, J.P.; Raguram, A.; Liu, D.R. Improving cytidine and adenine base editors by expression optimization and ancestral reconstruction. Nat. Biotechnol. 2018, 36, 843–846. [Google Scholar] [CrossRef]
  16. Richter, M.F.; Zhao, K.T.; Eton, E.; Lapinaite, A.; Newby, G.A.; Thuronyi, B.W.; Wilson, C.; Koblan, L.W.; Zeng, J.; Bauer, D.E.; et al. Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activity. Nat. Biotechnol. 2020, 38, 883–891. [Google Scholar] [CrossRef]
  17. Komor, A.C.; Zhao, K.T.; Packer, M.S.; Gaudelli, N.M.; Waterbury, A.L.; Koblan, L.W.; Kim, Y.B.; Badran, A.H.; Liu, D.R. Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T: A base editors with higher efficiency and product purity. Sci. Adv. 2017, 3, eaao4774. [Google Scholar] [CrossRef]
  18. Gaudelli, N.M.; Lam, D.K.; Rees, H.A.; Solá-Esteves, N.M.; Barrera, L.A.; Born, D.A.; Edwards, A.; Gehrke, J.M.; Lee, S.-J.; Liquori, A.J.; et al. Directed evolution of adenine base editors with increased activity and therapeutic application. Nat. Biotechnol. 2020, 38, 892–900. [Google Scholar] [CrossRef]
  19. Anzalone, A.V.; Randolph, P.B.; Davis, J.R.; Sousa, A.A.; Koblan, L.W.; Levy, J.M.; Chen, P.J.; Wilson, C.; Newby, G.A.; Raguram, A.; et al. Search-and-replace genome editing without double-strand breaks or donor DNA. Nature 2019, 576, 149–157. [Google Scholar] [CrossRef]
  20. Chen, P.J.; Hussmann, J.A.; Yan, J.; Knipping, F.; Ravisankar, P.; Chen, P.-F.; Chen, C.; Nelson, J.W.; Newby, G.A.; Sahin, M.; et al. Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell 2021, 184, 5635–5652.e29. [Google Scholar] [CrossRef]
  21. Yan, J.; Oyler-Castrillo, P.; Ravisankar, P.; Ward, C.C.; Levesque, S.; Jing, Y.; Simpson, D.; Zhao, A.; Li, H.; Yan, W.; et al. Improving prime editing with an endogenous small RNA-binding protein. Nature 2024, 628, 639–647. [Google Scholar] [CrossRef] [PubMed]
  22. Doman, J.L.; Pandey, S.; Neugebauer, M.E.; An, M.; Davis, J.R.; Randolph, P.B.; McElroy, A.; Gao, X.D.; Raguram, A.; Richter, M.F.; et al. Phage-assisted evolution and protein engineering yield compact, efficient prime editors. Cell 2023, 186, 3983–4002.e26. [Google Scholar] [CrossRef] [PubMed]
  23. Gillmore, J.D.; Gane, E.; Taubel, J.; Kao, J.; Fontana, M.; Maitland, M.L.; Seitzer, J.; O’Connell, D.; Walsh, K.R.; Wood, K.; et al. CRISPR-Cas9 In Vivo Gene Editing for Transthyretin Amyloidosis. N. Engl. J. Med. 2021, 385, 493–502. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, P.J.; Liu, D.R. Prime editing for precise and highly versatile genome manipulation. Nat. Rev. Genet. 2022, 24, 161–177. [Google Scholar] [CrossRef]
  25. Blaeschke, F.; Chen, Y.Y.; Apathy, R.; Daniel, B.; Chen, A.Y.; Chen, P.A.; Sandor, K.; Zhang, W.; Li, Z.; Mowery, C.T.; et al. Modular pooled discovery of synthetic knockin sequences to program durable cell therapies. Cell 2023, 186, 4216–4234.e33. [Google Scholar] [CrossRef]
  26. Haley, B.; Roudnicky, F. Functional Genomics for Cancer Drug Target Discovery. Cancer Cell 2020, 38, 31–43. [Google Scholar] [CrossRef]
  27. Zong, Y.; Liu, Y.; Xue, C.; Li, B.; Li, X.; Wang, Y.; Li, J.; Liu, G.; Huang, X.; Cao, X.; et al. An engineered prime editor with enhanced editing efficiency in plants. Nat. Biotechnol. 2022, 40, 1394–1402. [Google Scholar] [CrossRef]
  28. Tao, Y.; Chen, Z.; Xu, Y.; Wang, F.; Jiang, Y.; Fan, F.; Li, W.; Zhu, J.; Li, X.; Wang, J.; et al. CRISPR-mediated targeted mutagenesis for improving nitrogen use efficiency in japonica rice. Plant Commun. 2025, 6, 101189. [Google Scholar] [CrossRef]
  29. Srila, W.; Pangjantuk, A.; Kunhorm, P.; Chaicharoenaudomrung, N.; Noisa, P. Development of CRISRP/Cas9-based TP53-knockout pig muscle stem cells for use in the cultured meat industry. 3 Biotech 2025, 15, 92. [Google Scholar] [CrossRef]
  30. Li, W.; Zou, G.; Bao, D.; Wu, Y. Current Advances in the Functional Genes of Edible and Medicinal Fungi: Research Techniques, Functional Analysis, and Prospects. J. Fungi 2024, 10, 311. [Google Scholar] [CrossRef]
  31. Mani, M.; Kandavelou, K.; Dy, F.J.; Durai, S.; Chandrasegaran, S. Design, engineering, and characterization of zinc finger nucleases. Biochem. Biophys. Res. Commun. 2005, 335, 447–457. [Google Scholar] [CrossRef] [PubMed]
  32. Geurts, A.M.; Cost, G.J.; Freyvert, Y.; Zeitler, B.; Miller, J.C.; Choi, V.M.; Jenkins, S.S.; Wood, A.; Cui, X.; Meng, X.; et al. Knockout Rats via Embryo Microinjection of Zinc-Finger Nucleases. Science 2009, 325, 433. [Google Scholar] [CrossRef]
  33. Curtin, S.J.; Zhang, F.; Sander, J.D.; Haun, W.J.; Starker, C.; Baltes, N.J.; Reyon, D.; Dahlborg, E.J.; Goodwin, M.J.; Coffman, A.P.; et al. Targeted Mutagenesis of Duplicated Genes in Soybean with Zinc-Finger Nucleases. Plant Physiol. 2011, 156, 466–473. [Google Scholar] [CrossRef] [PubMed]
  34. Cermak, T.; Doyle, E.L.; Christian, M.; Wang, L.; Zhang, Y.; Schmidt, C.; Baller, J.A.; Somia, N.V.; Bogdanove, A.J.; Voytas, D.F. Efficient design and assembly of custom TALEN and other TAL effector-based constructs for DNA targeting. Nucleic Acids Res. 2011, 39, e82. [Google Scholar] [CrossRef]
  35. Carlson, D.F.; Tan, W.; Lillico, S.G.; Stverakova, D.; Proudfoot, C.; Christian, M.; Voytas, D.F.; Long, C.R.; Whitelaw, C.B.A.; Fahrenkrug, S.C. Efficient TALEN-mediated gene knockout in livestock. Proc. Natl. Acad. Sci. USA 2012, 109, 17382–17387. [Google Scholar] [CrossRef]
  36. Mussolino, C.; Morbitzer, R.; Lütge, F.; Dannemann, N.; Lahaye, T.; Cathomen, T. A novel TALE nuclease scaffold enables high genome editing activity in combination with low toxicity. Nucleic Acids Res. 2011, 39, 9283–9293. [Google Scholar] [CrossRef]
  37. Qin, H.; Xiao, H.; Zou, G.; Zhou, Z.; Zhong, J.-J. CRISPR-Cas9 assisted gene disruption in the higher fungus Ganoderma species. Process Biochem. 2017, 56, 57–61. [Google Scholar] [CrossRef]
  38. Zhang, Z.; Zhang, J.; Zou, G.; Tang, C.; Feng, J.; Bao, D.; Chen, J.; Tan, Y. Construction of a CRISPR/Cas9-Based Genome Editing System in Ganoderma lucidum ‘Hunong No.1’ Cultivar. Acta Edulis Fungi 2023, 30, 9–18. [Google Scholar] [CrossRef]
  39. Gao, Z.; Herrera-Carrillo, E.; Berkhout, B. Delineation of the Exact Transcription Termination Signal for Type 3 Polymerase III. Mol. Ther. Nucleic Acids 2018, 10, 36–44. [Google Scholar] [CrossRef]
  40. Wang, P.-A.; Xiao, H.; Zhong, J.-J. CRISPR-Cas9 assisted functional gene editing in the mushroom Ganoderma lucidum. Appl. Microbiol. Biotechnol. 2019, 104, 1661–1671. [Google Scholar] [CrossRef]
  41. Li, H.; Zhong, J.-J. Role of calcineurin-responsive transcription factor CRZ1 in ganoderic acid biosynthesis by Ganoderma lucidum. Process Biochem. 2020, 95, 166–173. [Google Scholar] [CrossRef]
  42. Liu, K.; Sun, B.; You, H.; Tu, J.L.; Yu, X.; Zhao, P.; Xu, J.W. Dual sgRNA-directed gene deletion in basidiomycete Ganoderma lucidum using the CRISPR/Cas9 system. Microb. Biotechnol. 2020, 13, 386–396. [Google Scholar] [CrossRef] [PubMed]
  43. Wang, P.-A.; Zhang, J.-M.; Zhong, J.-J. CRISPR-Cas9 assisted in-situ complementation of functional genes in the basidiomycete Ganoderma lucidum. Process Biochem. 2022, 121, 689–697. [Google Scholar] [CrossRef]
  44. Tan, Y.; Yu, X.; Zhang, Z.; Tian, J.; Feng, N.; Tang, C.; Zou, G.; Zhang, J. An Efficient CRISPR/Cas9 Genome Editing System for a Ganoderma lucidum Cultivated Strain by Ribonucleoprotein Method. J. Fungi 2023, 9, 1170. [Google Scholar] [CrossRef]
  45. Eom, H.; Choi, Y.-J.; Nandre, R.; Han, H.-G.; Kim, S.; Kim, M.; Oh, Y.-L.; Nakazawa, T.; Honda, Y.; Ro, H.-S. The Cas9-gRNA ribonucleoprotein complex-mediated editing of pyrG in Ganoderma lucidum and unexpected insertion of contaminated DNA fragments. Sci. Rep. 2023, 13, 11133. [Google Scholar] [CrossRef]
  46. Kim, M.; Oh, M.J.; Im, J.-H.; Lee, E.-J.; Woo, S.-I.; Oh, Y.-L. Optimization of RNP/Nanoparticle Systems for Enhanced CRISPR/Cas9-Based Gene Editing in Ganoderma lucidum. J. Mushrooms 2024, 22, 231–235. [Google Scholar] [CrossRef]
  47. Choi, Y.-J.; Eom, H.; Nandre, R.; Kim, M.; Oh, Y.-L.; Kim, S.; Ro, H.-S. Simultaneous gene editing of both nuclei in a dikaryotic strain of Ganoderma lucidum using Cas9-gRNA ribonucleoprotein. J. Microbiol. 2025, 63, e.2409006. [Google Scholar] [CrossRef]
  48. Li, J.; Liu, Q.; Liu, D.; Wu, M.; Tian, C. Advances in metabolic engineering of filamentous fungi. Chin. J. Biotechnol. 2021, 37, 1637–1658. [Google Scholar] [CrossRef]
  49. Liu, J.; Song, C.; Li, Q.; Xu, Z.; Zhang, D.; Zhang, M.; Tan, Q.; Shang, X. A colonized millet grain method for Agrobacterium-mediated transformation of the button mushroom Agaricus bisporus. J. Microbiol. Methods 2018, 152, 148–153. [Google Scholar] [CrossRef]
  50. Zhang, J.j.; Shi, L.; Chen, H.; Sun, Y.q.; Zhao, M.w.; Ren, A.; Chen, M.j.; Wang, H.; Feng, Z.y. An efficient Agrobacterium-mediated transformation method for the edible mushroom Hypsizygus marmoreus. Microbiol. Res. 2014, 169, 741–748. [Google Scholar] [CrossRef]
  51. Zou, G.; Xiao, M.; Chai, S.; Zhu, Z.; Wang, Y.; Zhou, Z. Efficient genome editing in filamentous fungi via an improved CRISPR-Cas9 ribonucleoprotein method facilitated by chemical reagents. Microb. Biotechnol. 2020, 14, 2343–2355. [Google Scholar] [CrossRef] [PubMed]
  52. Zhang, J.; Mao, Z.; Xue, W.; Li, Y.; Tang, G.; Wang, A.; Zhang, Y.; Wang, H. Ku80 Gene is Related to Non-Homologous End-Joining and Genome Stability in Aspergillus niger. Curr. Microbiol. 2011, 62, 1342–1346. [Google Scholar] [CrossRef] [PubMed]
  53. Sugano, S.S.; Suzuki, H.; Shimokita, E.; Chiba, H.; Noji, S.; Osakabe, Y.; Osakabe, K. Genome editing in the mushroom-forming basidiomycete Coprinopsis cinerea, optimized by a high-throughput transformation system. Sci. Rep. 2017, 7, 1260. [Google Scholar] [CrossRef] [PubMed]
  54. Kim, S.; Kim, D.; Cho, S.W.; Kim, J.; Kim, J.-S. Highly efficient RNA-guided genome editing in human cells via delivery of purified Cas9 ribonucleoproteins. Genome Res. 2014, 24, 1012–1019. [Google Scholar] [CrossRef]
  55. Lin, S.; Staahl, B.T.; Alla, R.K.; Doudna, J.A. Enhanced homology-directed human genome engineering by controlled timing of CRISPR/Cas9 delivery. eLife 2014, 3, e04766. [Google Scholar] [CrossRef]
  56. Ramakrishna, S.; Kwaku Dad, A.-B.; Beloor, J.; Gopalappa, R.; Lee, S.-K.; Kim, H. Gene disruption by cell-penetrating peptide-mediated delivery of Cas9 protein and guide RNA. Genome Res. 2014, 24, 1020–1027. [Google Scholar] [CrossRef]
  57. Boontawon, T.; Nakazawa, T.; Xu, H.; Kawauchi, M.; Sakamoto, M.; Honda, Y. Gene targeting using pre-assembled Cas9 ribonucleoprotein and split-marker recombination in Pleurotus ostreatus. FEMS Microbiol. Lett. 2021, 368, fnab080. [Google Scholar] [CrossRef]
  58. Kück, U.; Hoff, B. New tools for the genetic manipulation of filamentous fungi. Appl. Microbiol. Biotechnol. 2010, 86, 51–62. [Google Scholar] [CrossRef]
  59. Tu, J.L.; Bai, X.Y.; Xu, Y.L.; Li, N.; Xu, J.W. Targeted Gene Insertion and Replacement in the Basidiomycete by Inactivation of Nonhomologous End Joining Using CRISPR/Cas9. Appl. Environ. Microbiol. 2021, 87, e0151021. [Google Scholar] [CrossRef]
  60. De Jong, J.F.; Ohm, R.A.; De Bekker, C.; Wösten, H.A.B.; Lugones, L.G. Inactivation of ku80 in the mushroom-forming fungus Schizophyllum commune increases the relative incidence of homologous recombination. FEMS Microbiol. Lett. 2010, 310, 91–95. [Google Scholar] [CrossRef]
  61. Eom, H.; Choi, Y.-J.; Nandre, R.; Kim, M.; Oh, Y.-L.; Kim, S.; Nakazawa, T.; Honda, Y.; Ro, H.-S. Targeted insertion of heterogenous DNA using Cas9-gRNA ribonucleoprotein-mediated gene editing in Ganoderma lucidum. Bioengineered 2025, 16, 2458376. [Google Scholar] [CrossRef] [PubMed]
  62. Fei, J.; Zhao, D.; Pang, C.; Li, J.; Li, S.; Qiao, W.; Tan, J.; Bi, C.; Zhang, X. Mismatch prime editing gRNA increased efficiency and reduced indels. Nat. Commun. 2025, 16, 139. [Google Scholar] [CrossRef] [PubMed]
  63. Huai, G.; Wang, Y.; Du, J.; Cheng, Z.; Xie, Y.; Zhou, J.; Tang, H.; Jiang, Y.; Xing, X.; Deng, S.; et al. The generation and evaluation of TKO/hCD55/hTM/hEPCR gene-modified pigs for clinical organ xenotransplantation. Front. Immunol. 2025, 15, 1488552. [Google Scholar] [CrossRef] [PubMed]
  64. Konishi, C.T.; Mulaiese, N.; Butola, T.; Zhang, Q.; Kagan, D.; Yang, Q.; Pressler, M.; Dirvin, B.G.; Devinsky, O.; Basu, J.; et al. Modeling and correction of protein conformational disease in iPSC-derived neurons through personalized base editing. Mol. Ther. Nucleic Acids 2025, 36, 102441. [Google Scholar] [CrossRef]
  65. Tan, J.J.; Zhang, F.; Karcher, D.; Bock, R. Expanding the genome-targeting scope and the site selectivity of high-precision base editors. Nat. Commun. 2020, 11, 629. [Google Scholar] [CrossRef]
  66. Mitsui, R.; Yamada, R.; Ogino, H. CRISPR system in the yeast Saccharomyces cerevisiae and its application in the bioproduction of useful chemicals. World J. Microbiol. Biotechnol. 2019, 35, 111. [Google Scholar] [CrossRef]
  67. Tan, J.; Zhang, F.; Karcher, D.; Bock, R. Engineering of high-precision base editors for site-specific single nucleotide replacement. Nat. Commun. 2019, 10, 439. [Google Scholar] [CrossRef]
  68. Si, X.; Zhang, H.; Wang, Y.; Chen, K.; Gao, C. Manipulating gene translation in plants by CRISPR–Cas9-mediated genome editing of upstream open reading frames. Nat. Protoc. 2020, 15, 338–363. [Google Scholar] [CrossRef]
  69. Pan, C.; Li, G.; Malzahn, A.A.; Cheng, Y.; Leyson, B.; Sretenovic, S.; Gurel, F.; Coleman, G.D.; Qi, Y. Boosting plant genome editing with a versatile CRISPR-Combo system. Nat. Plants 2022, 8, 513–525. [Google Scholar] [CrossRef]
  70. Papikian, A.; Liu, W.; Gallego-Bartolomé, J.; Jacobsen, S.E. Site-specific manipulation of Arabidopsis loci using CRISPR-Cas9 SunTag systems. Nat. Commun. 2019, 10, 729. [Google Scholar] [CrossRef]
  71. Molla, K.A.; Shih, J.; Wheatley, M.S.; Yang, Y. Predictable NHEJ Insertion and Assessment of HDR Editing Strategies in Plants. Front. Genome Ed. 2022, 4, 825236. [Google Scholar] [CrossRef] [PubMed]
  72. Wang, A.; Cheng, Q.; Li, W.; Kan, M.; Zhang, Y.; Meng, X.; Guo, H.; Jing, Y.; Chen, M.; Liu, G.; et al. Creation of high-resistant starch rice through systematic editing of amylopectin biosynthetic genes in rs4. Plant Biotechnol. J. 2024, 23, 480–488. [Google Scholar] [CrossRef] [PubMed]
  73. Chen, D.-b.; Zhou, R.; Wang, H.-m.; Zhang, P.-p.; Yang, Z.-f.; Xuan, D.-d.; Zhang, Y.-x.; Zhan, X.-d.; Cao, L.-y.; Cheng, S.-h.; et al. OsLAP3/OsSTRL2, encoding a rice strictosidine synthase, is required for anther cuticle formation and pollen exine patterning in rice. Front. Plant Sci. 2025, 15, 1508828. [Google Scholar] [CrossRef] [PubMed]
  74. Cao, X.; Xie, H.; Song, M.; Zhao, L.; Liu, H.; Li, G.; Zhu, J.K. Simple method for transformation and gene editing in medicinal plants. J. Integr. Plant Biol. 2024, 66, 17–19. [Google Scholar] [CrossRef]
  75. Fang, X.; Shi, L.; Xu, Y.; Zhao, M. Cloning of a sterol 14α-demethylase gene and the effects of over-expression of the gene on biological synthesis of triterpenes in Ganoderma lucidum. Mycosystema 2011, 30, 242–248. [Google Scholar] [CrossRef]
  76. Nishimasu, H.; Shi, X.; Ishiguro, S.; Gao, L.Y.; Hirano, S.; Okazaki, S.; Noda, T.; Abudayyeh, O.O.; Gootenberg, J.S.; Mori, H.; et al. Engineered CRISPR-Cas9 nuclease with expanded targeting space. Science 2018, 361, 1259–1262. [Google Scholar] [CrossRef]
  77. Walton, R.T.; Christie, K.A.; Whittaker, M.N.; Kleinstiver, B.P. Unconstrained genome targeting with near-PAMless engineered CRISPR-Cas9 variants. Science 2020, 368, 290–296. [Google Scholar] [CrossRef]
  78. Kleinstiver, B.P.; Prew, M.S.; Tsai, S.Q.; Topkar, V.V.; Nguyen, N.T.; Zheng, Z.; Gonzales, A.P.W.; Li, Z.; Peterson, R.T.; Yeh, J.-R.J.; et al. Engineered CRISPR-Cas9 nucleases with altered PAM specificities. Nature 2015, 523, 481–485. [Google Scholar] [CrossRef]
  79. Kleinstiver, B.P.; Pattanayak, V.; Prew, M.S.; Tsai, S.Q.; Nguyen, N.T.; Zheng, Z.; Joung, J.K. High-fidelity CRISPR–Cas9 nucleases with no detectable genome-wide off-target effects. Nature 2016, 529, 490–495. [Google Scholar] [CrossRef]
  80. Hu, J.H.; Miller, S.M.; Geurts, M.H.; Tang, W.; Chen, L.; Sun, N.; Zeina, C.M.; Gao, X.; Rees, H.A.; Lin, Z.; et al. Evolved Cas9 variants with broad PAM compatibility and high DNA specificity. Nature 2018, 556, 57–63. [Google Scholar] [CrossRef]
  81. Ran, F.A.; Cong, L.; Yan, W.X.; Scott, D.A.; Gootenberg, J.S.; Kriz, A.J.; Zetsche, B.; Shalem, O.; Wu, X.; Makarova, K.S.; et al. In vivo genome editing using Staphylococcus aureus Cas9. Nature 2015, 520, 186–191. [Google Scholar] [CrossRef] [PubMed]
  82. Gu, T.; Zhao, S.; Pi, Y.; Chen, W.; Chen, C.; Liu, Q.; Li, M.; Han, D.; Ji, Q. Highly efficient base editing in Staphylococcus aureus using an engineered CRISPR RNA-guided cytidine deaminase. Chem. Sci. 2018, 9, 3248–3253. [Google Scholar] [CrossRef] [PubMed]
  83. Kleinstiver, B.P.; Prew, M.S.; Tsai, S.Q.; Nguyen, N.T.; Topkar, V.V.; Zheng, Z.; Joung, J.K. Broadening the targeting range of Staphylococcus aureus CRISPR-Cas9 by modifying PAM recognition. Nat. Biotechnol. 2015, 33, 1293–1298. [Google Scholar] [CrossRef]
  84. Zetsche, B.; Gootenberg, J.S.; Abudayyeh, O.O.; Slaymaker, I.M.; Makarova, K.S.; Essletzbichler, P.; Volz, S.E.; Joung, J.; Van Der Oost, J.; Regev, A.; et al. Cpf1 Is a Single RNA-Guided Endonuclease of a Class 2 CRISPR-Cas System. Cell 2015, 163, 759–771. [Google Scholar] [CrossRef]
  85. Li, X.; Wang, Y.; Liu, Y.; Yang, B.; Wang, X.; Wei, J.; Lu, Z.; Zhang, Y.; Wu, J.; Huang, X.; et al. Base editing with a Cpf1–cytidine deaminase fusion. Nat. Biotechnol. 2018, 36, 324–327. [Google Scholar] [CrossRef]
  86. Ming, M.; Ren, Q.; Pan, C.; He, Y.; Zhang, Y.; Liu, S.; Zhong, Z.; Wang, J.; Malzahn, A.A.; Wu, J.; et al. CRISPR–Cas12b enables efficient plant genome engineering. Nat. Plants 2020, 6, 202–208. [Google Scholar] [CrossRef]
  87. Liu, R.; Chen, L.; Jiang, Y.; Zhou, Z.; Zou, G. Efficient genome editing in filamentous fungus Trichoderma reesei using the CRISPR/Cas9 system. Cell Discov. 2015, 1, 15007. [Google Scholar] [CrossRef]
  88. Tan, J.; Forner, J.; Karcher, D.; Bock, R. DNA base editing in nuclear and organellar genomes. Trends Genet. 2022, 38, 1147–1169. [Google Scholar] [CrossRef]
  89. Peng, R.; Lin, G.; Li, J. Potential pitfalls of CRISPR/Cas9-mediated genome editing. FEBS J. 2015, 283, 1218–1231. [Google Scholar] [CrossRef]
  90. Bae, S.; Park, J.; Kim, J.-S. Cas-OFFinder: A fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases. Bioinformatics 2014, 30, 1473–1475. [Google Scholar] [CrossRef]
  91. Tsai, S.Q.; Zheng, Z.; Nguyen, N.T.; Liebers, M.; Topkar, V.V.; Thapar, V.; Wyvekens, N.; Khayter, C.; Iafrate, A.J.; Le, L.P.; et al. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases. Nat. Biotechnol. 2014, 33, 187–197. [Google Scholar] [CrossRef] [PubMed]
  92. Kim, D.; Bae, S.; Park, J.; Kim, E.; Kim, S.; Yu, H.R.; Hwang, J.; Kim, J.-I.; Kim, J.-S. Digenome-seq: Genome-wide profiling of CRISPR-Cas9 off-target effects in human cells. Nat. Methods 2015, 12, 237–243. [Google Scholar] [CrossRef]
  93. Kruminis-Kaszkiel, E.; Juranek, J.; Maksymowicz, W.; Wojtkiewicz, J. CRISPR/Cas9 Technology as an Emerging Tool for Targeting Amyotrophic Lateral Sclerosis (ALS). Int. J. Mol. Sci. 2018, 19, 906. [Google Scholar] [CrossRef]
  94. Zhang, X.-H.; Tee, L.Y.; Wang, X.-G.; Huang, Q.-S.; Yang, S.-H. Off-target Effects in CRISPR/Cas9-mediated Genome Engineering. Mol. Ther. Nucleic Acids 2015, 4, e264. [Google Scholar] [CrossRef]
  95. Xu, J.-W.; Xu, Y.-N.; Zhong, J.-J. Enhancement of Ganoderic Acid Accumulation by Overexpression of an N-Terminally Truncated 3-Hydroxy-3-Methylglutaryl Coenzyme A Reductase Gene in the Basidiomycete Ganoderma lucidum. Appl. Environ. Microbiol. 2012, 78, 7968–7976. [Google Scholar] [CrossRef]
  96. Liu, Y.N.; Zhang, T.J.; Lu, X.X.; Ma, B.L.; Ren, A.; Shi, L.; Jiang, A.L.; Yu, H.S.; Zhao, M.W. Membrane fluidity is involved in the regulation of heat stress induced secondary metabolism in Ganoderma lucidum. Environ. Microbiol. 2017, 19, 1653–1668. [Google Scholar] [CrossRef]
  97. Zhang, D.-H.; Li, N.; Yu, X.; Zhao, P.; Li, T.; Xu, J.-W. Overexpression of the homologous lanosterol synthase gene in ganoderic acid biosynthesis in Ganoderma lingzhi. Phytochemistry 2017, 134, 46–53. [Google Scholar] [CrossRef]
  98. Fang, X.; Shi, L.; Ren, A.; Jiang, A.-L.; Wu, F.-L.; Zhao, M.-W. The cloning, characterization and functional analysis of a gene encoding an acetyl-CoA acetyltransferase involved in triterpene biosynthesis in Ganoderma lucidum. Mycoscience 2013, 54, 100–105. [Google Scholar] [CrossRef]
  99. Li, Y.; Zhao, L.; Gu, Z.; Li, Y.-R.; Shi, G.; Ding, Z. Heterologous expression and characterization of the key enzymes involved in sugar donor synthesis of polysaccharide in Ganoderma lucidum. Microbiol. China 2019, 46, 3233–3247. [Google Scholar] [CrossRef]
  100. Liu, K.; Li, H.; Zhang, D.; Yue, T.; LIi, N.; Xu, J. Heterologous Expression of Vitreoscilla Hemoglobin in Ganoderma lingzhi for Increased Exopolysaccharide Production. Acta Edulis Fungi 2017, 24, 35–41. [Google Scholar] [CrossRef]
  101. Chavez, A.; Scheiman, J.; Vora, S.; Pruitt, B.W.; Tuttle, M.; Iyer, E.P.R.; Lin, S.; Kiani, S.; Guzman, C.D.; Wiegand, D.J.; et al. Highly efficient Cas9-mediated transcriptional programming. Nat. Methods 2015, 12, 326–328. [Google Scholar] [CrossRef] [PubMed]
  102. Malzahn, A.; Zhang, Y.; Qi, Y. CRISPR-Act2.0: An Improved Multiplexed System for Plant Transcriptional Activation. In Plant Genome Editing with CRISPR Systems; Methods in Molecular Biology; Springer: Berlin/Heidelberg, Germany, 2019; pp. 83–93. [Google Scholar] [CrossRef]
  103. Pan, C.; Wu, X.; Markel, K.; Malzahn, A.A.; Kundagrami, N.; Sretenovic, S.; Zhang, Y.; Cheng, Y.; Shih, P.M.; Qi, Y. CRISPR–Act3.0 for highly efficient multiplexed gene activation in plants. Nat. Plants 2021, 7, 942–953. [Google Scholar] [CrossRef] [PubMed]
  104. Azi, F.; Wang, Z.; Chen, W.; Lin, D.; Xu, P. Developing Ganoderma lucidum as a next-generation cell factory for food and nutraceuticals. Trends Biotechnol. 2024, 42, 197–211. [Google Scholar] [CrossRef] [PubMed]
  105. Zhao, Z.; Ma, X.; Li, M.; Chen, G.; Qi, L.; Song, S.; Li, Z.; Yan, C. Alcoholic Extracts from the Ganoderma Lucidum Fermentation Product Alleviated Ethanol-Induced Liver Injury, Gut Leakiness, and Gut Dysbiosis in Mice. Plant Foods Hum. Nutr. 2024, 80, 2. [Google Scholar] [CrossRef]
  106. Jiang, Y.; Wang, Z.; Wang, W.; Liu, Y.; Meng, Y.; Wang, Y.; Fan, M.; Cai, C. Ganoderma lucidum polysaccharide alleviates cognitive dysfunction by inhibiting neuroinflammation via NLRP3/NF-κB signaling pathway. J. Ethnopharmacol. 2025, 338, 119065. [Google Scholar] [CrossRef]
  107. Chen, S. Clinical Uses of Botulinum Neurotoxins: Current Indications, Limitations and Future Developments. Toxins 2012, 4, 913–939. [Google Scholar] [CrossRef]
  108. Wang, W.F.; Xiao, H.; Zhong, J.J. Biosynthesis of a novel ganoderic acid by expressing CYP genes from Ganoderma lucidum in Saccharomyces cerevisiae. Appl. Microbiol. Biotechnol. 2022, 106, 523–534. [Google Scholar] [CrossRef]
  109. Lan, X.; Yuan, W.; Wang, M.; Xiao, H. Efficient biosynthesis of antitumor ganoderic acid HLDOA using a dual tunable system for optimizing the expression of CYP5150L8 and a Ganoderma P450 reductase. Biotechnol. Bioeng. 2019, 116, 3301–3311. [Google Scholar] [CrossRef]
  110. Azi, F.; Hong, Y.; Wu, Z.; Xu, P. Synthetic consortium of Ganoderma lucidum and Lactobacillus plantarum for enhanced natural products biosynthesis. Biochem. Eng. J. 2023, 196, 108950. [Google Scholar] [CrossRef]
  111. Chen, L.; Park, J.E.; Paa, P.; Rajakumar, P.D.; Prekop, H.-T.; Chew, Y.T.; Manivannan, S.N.; Chew, W.L. Programmable C:G to G:C genome editing with CRISPR-Cas9-directed base excision repair proteins. Nat. Commun. 2021, 12, 1384. [Google Scholar] [CrossRef]
  112. Kurt, I.C.; Zhou, R.; Iyer, S.; Garcia, S.P.; Miller, B.R.; Langner, L.M.; Grünewald, J.; Joung, J.K. CRISPR C-to-G base editors for inducing targeted DNA transversions in human cells. Nat. Biotechnol. 2020, 39, 41–46. [Google Scholar] [CrossRef] [PubMed]
  113. Tong, H.; Wang, X.; Liu, Y.; Liu, N.; Li, Y.; Luo, J.; Ma, Q.; Wu, D.; Li, J.; Xu, C.; et al. Programmable A-to-Y base editing by fusing an adenine base editor with an N-methylpurine DNA glycosylase. Nat. Biotechnol. 2023, 41, 1080–1084. [Google Scholar] [CrossRef] [PubMed]
  114. Wu, Y.; He, Y.; Sretenovic, S.; Liu, S.; Cheng, Y.; Han, Y.; Liu, G.; Bao, Y.; Fang, Q.; Zheng, X.; et al. CRISPR-BETS: A base-editing design tool for generating stop codons. Plant Biotechnol. J. 2021, 20, 499–510. [Google Scholar] [CrossRef] [PubMed]
  115. Xue, C.; Qiu, F.; Wang, Y.; Li, B.; Zhao, K.T.; Chen, K.; Gao, C. Tuning plant phenotypes by precise, graded downregulation of gene expression. Nat. Biotechnol. 2023, 41, 1758–1764. [Google Scholar] [CrossRef]
  116. Klompe, S.E.; Vo, P.L.H.; Halpin-Healy, T.S.; Sternberg, S.H. Transposon-encoded CRISPR–Cas systems direct RNA-guided DNA integration. Nature 2019, 571, 219–225. [Google Scholar] [CrossRef]
Figure 1. Working principle of gene-editing technologies. (A) ZFN: zinc finger nuclease; (B) TALEN: transcription activator-like effector nuclease; (C) CRISPR/Cas9: Clusters of Regularly Spaced Short Palindromic Repeats/Cas9 Protein Systems; NHEJ: non-homologous end joining (a type of DNA repair mechanism); HDR: homology-directed repair (a type of DNA repair mechanism); PAM: protospacer adjacent motif (used for Cas9 protein recognition of target DNA sequences); and sgRNA: single guide RNA (used to recruit Cas9 protein to the target site); (D) CBE: cytosine base editor; UGI: uracil glycosylase inhibitor; (E) ABE: adenine base editor; (F) PE: prime editor; PBS: primer binding site; RT Template: reverse transcript template; and pegRNA: prime editing guide RNA.
Figure 1. Working principle of gene-editing technologies. (A) ZFN: zinc finger nuclease; (B) TALEN: transcription activator-like effector nuclease; (C) CRISPR/Cas9: Clusters of Regularly Spaced Short Palindromic Repeats/Cas9 Protein Systems; NHEJ: non-homologous end joining (a type of DNA repair mechanism); HDR: homology-directed repair (a type of DNA repair mechanism); PAM: protospacer adjacent motif (used for Cas9 protein recognition of target DNA sequences); and sgRNA: single guide RNA (used to recruit Cas9 protein to the target site); (D) CBE: cytosine base editor; UGI: uracil glycosylase inhibitor; (E) ABE: adenine base editor; (F) PE: prime editor; PBS: primer binding site; RT Template: reverse transcript template; and pegRNA: prime editing guide RNA.
Jof 11 00310 g001
Table 1. Overview of Gene-Editing Technology.
Table 1. Overview of Gene-Editing Technology.
Gene-Editing TechnologyWorking PrincipleAdvantageDisadvantageApplication
ZFNsZinc finger domains recognize and bind to specific DNA sequences, followed by dimerization of the Fok I endonuclease domain to execute cleavage activity.Specific, targeting specific sequences for cleavage.Constrained targeting range due to sequence recognition preferences; Complex design requirements for multi-finger arrays; cytotoxicity from excessive DNA damage response activation; and off-target effects from promiscuous heterodimer formation.Human disease treatment and crop trait improvement, etc. [31,32,33].
TALENsTALE domain specifically recognizes and binds to target DNA sequences, followed by dimerization of the Fok I nuclease domain to induce site-specific DNA
cleavage at the predetermined genomic locus.
Simpler for design requirements and higher targeting specificity.Complexity in design and construction; prohibitive production costs; low delivery efficiency of TALENs systems; and cytotoxic effects.Disease modeling, plants, and livestock improvement, etc. [34,35,36].
CRISPR/Cas9The target DNA sequence is recognized and bound by the Cas protein under the guidance of sgRNA, resulting in the induction of double-strand breaks at the designated genomic locus.Higher specificity and simpler design.High dependency on PAM sequences; off-target effects; and inability to achieve precise single-base editing.Crop trait improvement, drug development, and disease treatment, etc. [23,24,25,26,27,28,29,30].
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

He, S.; Liu, Y.; Zhang, Z.; Cai, M.; Hao, Y.; Hu, H. Gene Editing in Ganoderma lucidum: Development, Challenges, and Future Prospects. J. Fungi 2025, 11, 310. https://doi.org/10.3390/jof11040310

AMA Style

He S, Liu Y, Zhang Z, Cai M, Hao Y, Hu H. Gene Editing in Ganoderma lucidum: Development, Challenges, and Future Prospects. Journal of Fungi. 2025; 11(4):310. https://doi.org/10.3390/jof11040310

Chicago/Turabian Style

He, Shiqi, Yuanchao Liu, Zhi Zhang, Manjun Cai, Yufan Hao, and Huiping Hu. 2025. "Gene Editing in Ganoderma lucidum: Development, Challenges, and Future Prospects" Journal of Fungi 11, no. 4: 310. https://doi.org/10.3390/jof11040310

APA Style

He, S., Liu, Y., Zhang, Z., Cai, M., Hao, Y., & Hu, H. (2025). Gene Editing in Ganoderma lucidum: Development, Challenges, and Future Prospects. Journal of Fungi, 11(4), 310. https://doi.org/10.3390/jof11040310

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop