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Gao, W., Hu, L., Yang, L., Dong, C., Yin, P., and Zhou, Z. (2025). "Transcriptome analysis reveals key genes and pathways in borneol biosynthesis of a new Borneol-chemotype Cinnamomum camphora," BioResources 20(4), 10906–10921.

Abstract

Natural borneol, a valuable monoterpenoid, is primarily derived from Cinnamomum camphora chvar. borneol. This unique Chinese tree was studied using the high-borneol cultivar ‘Ganlong 2’ and common camphor trees as material. Multi-location trials over three years confirmed that ‘Ganlong 2’ stably exhibits high borneol content, high essential oil yield, and low camphor content, presenting an ideal system for biosynthesis research. Transcriptomic analysis identified key differentially expressed genes (DEGs), and KEGG enrichment outlined the (+)-borneol biosynthesis pathway. Critical genes, including CcBPPSCcNUDX1, and CcDXS1, were highlighted, with the MEP pathway confirmed as the primary biosynthetic route. These findings advance the understanding of monoterpenoid biosynthesis regulation and provide a theoretical and genetic basis for improving natural borneol production via synthetic biology and breeding high-quality varieties.


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Transcriptome Analysis Reveals Key Genes and Pathways in Borneol Biosynthesis of a New Borneol-Chemotype Cinnamomum camphora

Wei Gao,a Lifang Hu,b Chen Dong,a Liang Yang,Peng Yin,a,* and Zengliang Zhou , a,*

Natural borneol, a valuable monoterpenoid, is primarily derived from Cinnamomum camphora chvar. borneol. This unique Chinese tree was studied using the high-borneol cultivar ‘Ganlong 2’ and common camphor trees as material. Multi-location trials over three years confirmed that ‘Ganlong 2’ stably exhibits high borneol content, high essential oil yield, and low camphor content, presenting an ideal system for biosynthesis research. Transcriptomic analysis identified key differentially expressed genes (DEGs), and KEGG enrichment outlined the (+)-borneol biosynthesis pathway. Critical genes, including CcBPPSCcNUDX1, and CcDXS1, were highlighted, with the MEP pathway confirmed as the primary biosynthetic route. These findings advance the understanding of monoterpenoid biosynthesis regulation and provide a theoretical and genetic basis for improving natural borneol production via synthetic biology and breeding high-quality varieties.

DOI: 10.15376/biores.20.4.10906-10921

Keywords: C. camphora chvar. borneol; New variety; Natural borneol; Transcriptome

Contact information: a: Jiangxi Academy of Forestry, Nanchang 330032, China; b: Institute for Quality & Safety and Standards of Agricultural, Products Research, Jiangxi Academy of Agricultural Sciences, Nanchang 330299, China; c: Ji’an Forestry Science Research Institute, Ji’an 343000‌, China;

* Corresponding authors: 13141165522@163.com; zjqtzzl1010@163.com

INTRODUCTION

Cinnamomum camphora chvar. borneol, an evergreen tree belonging to the family Lauraceae and genus Cinnamomum, is a precious aromatic species endemic to the regions south of the Yangtze River in China. Its leaves are rich in natural borneol (primarily composed of (+)-borneol), which exhibits significant pharmacological activities such as anti-inflammatory, analgesic, and antibacterial effects. As a result, it is widely used in pharmaceuticals, perfumery, and cosmetics (Huang et al. 2023; Huang et al. 2024; Zhou et al. 2025). The natural borneol is a white crystalline solid with a boiling point of approximately 212 ℃ at standard atmospheric pressure. It exhibits sublimation characteristics and is slightly soluble in water but readily dissolves in various organic solvents (Mei et al. 2023). Chemically, borneol is sensitive to light, heat, and oxygen, and improper storage conditions – such as prolonged exposure to air and light – can lead to its oxidation to camphor (Mei et al. 2023). Its most common chemical reactions include: oxidation, where it converts to camphor in the presence of air or oxidizing agents, which is a critical consideration during storage and processing; and esterification, in which the hydroxyl group of borneol reacts with organic acids (e.g., acetic acid) to form ester derivatives such as bornyl acetate, which is a significant pathway in fragrance synthesis (Gu et al. 2025). These key physicochemical properties directly influence the storage conditions, processing techniques, stability, and application performance of natural borneol in pharmaceutical and fragrance products (Zhou et al. 2025). With the growing market demand for natural borneol, conventional extraction methods – constrained by high resource consumption and low yield – have become increasingly inadequate. There is an urgent need to enhance the production efficiency of natural borneol through the breeding of high-yielding varieties.

Significant progress has been made in understanding the biosynthetic mechanisms of plant secondary metabolites, particularly monoterpenoids. The synthesis of monoterpenes primarily involves three stages: First, the mevalonic acid (MVA) pathway in the cytoplasm and the 2-C-methyl-D-erythritol-4-phosphate (MEP) pathway in plastids synthesize the universal precursors isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP), respectively. Subsequently, these two compounds condense to form geranyl diphosphate (GPP), which is the common direct precursor of monoterpenes. Finally, bornyl diphosphate synthase (BPPS) catalyzes the cyclization of GPP to form bornyl diphosphate (BPP), which is subsequently hydrolyzed and dephosphorylated to yield borneol (Pu et al. 2021).

As a monoterpenoid essential oil compound, the synthesis of (+)-borneol also relies on both the MVA and MEP pathways. Numerous studies have indicated that key enzyme genes in these pathways, such as phosphomevalonate kinase (PMK), 1-deoxy-D-xylulose-5-phosphate synthase (DXS), and DXR, serve as rate-limiting factors regulating the synthesis of IPP, DMAPP, and downstream products. These genes are important targets for genetic improvement in monoterpenoid biosynthesis (Singh and Sharma 2015; Tholl 2015). For instance, overexpression of DXS and DXR genes in Arabidopsis and tomato significantly increased monoterpenoid production (Estévez et al. 2001; Enfissi et al. 2005). Additionally, enzyme genes such as BPPS and NUDX play crucial roles in the biosynthesis and modification of borneol. Homologs of BPPS have been reported in various plant species, including SoBPPS (Salvia officinalis), WvBPPS (Wurfbainia villosa), LaBPPS (Lavandula angustifolia), CbBPPS (Cinnamomum burmannii), and DgTPS1 (Dipterocarpus gracilis) (Despinasse et al. 2017; Ma et al. 2021a,b; Tian et al. 2022). Furthermore, enzyme kinetics and tobacco transient expression experiments demonstrated for the first time that WvNUDX24 from Wurfbainia villosa specifically and efficiently catalyzes the hydrolysis of BPP to generate BP, thereby participating in borneol biosynthesis (Yang et al. 2024).

Although C. camphora chvar. borneol serves as a valuable source of natural borneol, research on its biosynthesis remains relatively limited. The overall regulatory network of borneol biosynthesis has not yet been fully elucidated, and systematic identification and functional characterization of key genes are still pending. In this study, the high-borneol-type ‘Ganlong 2’ and a common borneol camphor tree obtained through directional breeding were used as experimental materials. By integrating biochemical and transcriptomic analysis, the metabolic pathway of borneol biosynthesis in C. camphora chvar. borneol was constructed. For the first time, a series of key enzyme genes including GPPSBPPS, and NUDX were identified. These findings lay a foundation for further deciphering the regulatory mechanisms underlying natural borneol biosynthesis and hold significant implications for promoting the sustainable development of the camphor tree industry and alleviating the supply-demand imbalance in the natural borneol market.

EXPERIMENTAL

Plant Materials and Essential Oil Determination

From 2022 to 2024, regional trials were conducted in the Ji’an, Jiujiang, and Ganzhou, areas of Jiangxi Province. The new borneol camphor variety ‘Ganlong 2’ was used as the test material, with common borneol camphor trees as the control. Fresh leaves were collected from November to December each year, and volatile oils were extracted using steam distillation. The essential oil yield was determined, and the borneol and camphor contents were analyzed by gas chromatography (GC) (Pragadheesh et al. 2013).

Statistical Analysis: All data are presented as the mean ± standard deviation. A three-factorial experimental design was employed with two cultivars (‘Ganlong 2’ vs. common C. camphora chvar. borneol). Additional fixed factors were the locations (Ji’an, Jiujiang, Ganzhou), and years (2022, 2023, 2024). Initially, a multi-way ANOVA was used to examine the effects of these three main factors on essential oil yield, borneol content, and camphor content, and to assess their interactions (Liland and Færgestad 2009). Where the ANOVA indicated significant differences, Tukey’s Honest Significant Difference (HSD) post-hoc test was applied for multiple comparisons to identify specific differences among the treatment groups across cultivars, locations, and years (Bita and Indreica 2016). All statistical analyses were performed using R software (version 4.3.0), and the significance level was set at p < 0.05.

The plant materials used in this study were obtained from the Ji’an Forestry Science Research Institute. In November 2024, three healthy individuals with uniform growth vigor were selected randomly from ‘Ganlong 2’ and common borneol camphor trees as sampling plants. Mature leaves were collected, immediately frozen in liquid nitrogen, and stored at -80°C in an ultra-low temperature freezer for subsequent analysis.

RNA Extraction, Library Construction, and Sequencing Assembly

The total RNA extraction from samples and cDNA library construction were completed by Huazhi Biotechnology Co., Ltd., and qualified libraries were sequenced using the Illumina HiSeq platform after passing quality control. After obtaining the raw sequencing data, adapter sequences and low-quality reads (containing >5% N bases or Q<20) were first filtered out, followed by trimming bases with quality scores below 20 at read ends using a sliding window approach (window size 4bp), and finally removing reads shorter than 100 nt along with their paired reads to obtain high-quality clean reads. After completing quality control of the data, de novo transcriptome assembly was performed on the clean reads using Trinity v2.4.0 software (Haas et al. 2013) to obtain transcript sequences.

Unigene Functional Annotation

The Unigenes were aligned against multiple databases including NT (NCBI nucleotide sequences), NR (NCBI non-redundant protein sequences), COG/KOG (Clusters of Orthologous Groups of proteins/euKaryotic Ortholog Groups), Swiss-Prot (a manually annotated and reviewed protein sequence database), TrEMBL, GO (Gene Ontology), and KEGG (Kyoto Encyclopedia of Genes and Genomes) using NCBI Blast+ 2.14 (Altschul et al. 1997). Based on the annotation results from SwissProt and TrEMBL, GO annotations were obtained through Uniprot annotation information, while KEGG annotations were acquired using the KEGG Automatic Annotation Server, thereby establishing comprehensive functional characterization of the transcriptome data through these systematic bioinformatics analyses.

qRT-PCR Validation

Using cDNA templates synthesized from three independent biological replicates per cultivar and with Actin2 as the internal reference gene (Shen et al. 2022), eight candidates differentially expressed genes were selected, and specific primers were designed using Primer 3 software (Untergasser et al. 2012) (Table 1). The expression levels of these candidate genes in leaves of ‘Ganlong 2’ and ordinary C. camphora chvar. borneol were detected by PCR using the SYBR Green method with a 10 μL reaction system run in technical triplicates. The thermal cycling protocol consisted of initial denaturation at 95 ℃ for 2 min, followed by 40 cycles of 95 ℃ for 15 s (denaturation), 60 ℃ for 15 s (annealing), and 72 ℃ for 1 min (extension). Relative expression levels were calculated with use of the 2-ΔΔCT method to ensure accurate quantification of gene expression differences between the two varieties.

Table 1. Primer Sequence of qRT-PCR

RESULTS AND DISCUSSION

Analysis of Differences in Essential Oil Content between ‘Ganlong 2’ and Common C. camphora chvar. borneol

A comparative study was conducted on the essential oil yield, borneol content, and camphor content in fresh leaves of ‘Ganlong 2’ and common C. camphora across three trial sites (Ji’an, Jiujiang, and Ganzhou) from 2022 to 2024 (Table 2). The results indicated that, except for a non-significant difference in essential oil yield in Jiujiang in 2022, ‘Ganlong 2’ consistently demonstrated significantly higher essential oil yield and borneol content, along with significantly lower camphor content, in all other years and locations. The three-year averages showed that the essential oil yield of ‘Ganlong 2’ was 1.39 times that of the common variety, the borneol content was 6.8% higher, and the camphor content was only 45.9% of that in the common variety, highlighting the distinct novelty and specificity of this new cultivar. Furthermore, no significant differences were detected in the essential oil characteristics of ‘Ganlong 2’ across different years or geographical regions, demonstrating its high stability.

The marked contrast in borneol content between ‘Ganlong 2’ and common C. camphora chvar. borneol provides an ideal basis for transcriptome sequencing to identify key differentially expressed genes involved in the biosynthetic pathway of borneol.

Sequencing and Quality Assessment of ‘Ganlong 2’ and C. camphora chvar. borneol

To systematically understand the key signaling pathways in ‘Ganlong 2’ and to identify critical genes responding to natural borneol biosynthesis, 6 cDNA libraries were constructed and subjected to high-throughput sequencing, including the ‘Ganlong 2’ leaf sections (GL001, GL002, GL003) and common C. camphora chvar. borneol leaf sections (LN001, LN002, LN003). In total, approximately 38.56 Gb clean data were obtained in this study (Table 3), with an average of about 5.80 Gb clean reads per sample. The GC content for each sample ranged from 44.6% to 45.7%, and the Q30 values all were higher than 97%. These results directly illustrated that the sequencing data were authentic and reliable for further analysis. The mapping rate of reads for all samples exceeded 96.8%, with uniquely mapped reads ranging between 60.9% and 63.1%, and multiply mapped reads ranging between 34.2% and 36.1%.

Table 2. Essential Oil Content Determination Results

Table 3. RNA Sequencing Results

Identification of DEGs between ‘Ganlong 2’ and Common C. camphora chvar. borneol

Based on the threshold criteria of qValue < 0.05 and |log₂(fold change)| > 1, a total of 3,471 differentially expressed genes (DEGs) were identified between ‘Ganlong 2’ and common C. camphora chvar. borneol (Fig. 1), including 1,598 up-regulated and 1,873 down-regulated genes. Among these, expression levels of CcFRS5 (TRINITY_DN3028_c0_g1), CcBPPS (TRINITY_DN22089_c0_g1), and CcRGA1 (TRINITY_DN12683_c0_g1) in ‘Ganlong 2’ were 426.16-, 315.41-, and 166.88-fold higher, respectively, than those in common camphor. Conversely, CcUBI4 (TRINITY_DN15810_c0_g4), CcNPR4 (TRINITY_DN22356_c0_g1), and CcGST23 (TRINITY_DN9833_c0_g1) exhibited 656.30-, 134.94-, and 78.66-fold higher expression, respectively, in common camphor compared to ‘Ganlong 2’. These results indicate substantial transcriptional differences between ‘Ganlong 2’ and the common variety, both in the number and magnitude of gene expression changes.

Fig. 1. Volcano plot of DEGs between ‘Ganlong 2’ and common C. camphora chvar. borneol

GO Enrichment Analysis of DEGs between ‘Ganlong 2’ and Common C. camphora chvar. borneol

Gene ontology (GO) enrichment analysis (Fig. 2) between ‘Ganlong 2’ and common C. camphora chvar. borneol revealed that the DEGs were assigned to 53 functional subcategories within three major categories: biological process, cellular component, and molecular function. In the biological process category, the DEGs were primarily enriched in terms such as cellular process (436 up-regulated and 806 down-regulated genes) and metabolic process (382 up-regulated and 714 down-regulated genes). Within cellular component, the most enriched terms included organelle (354 up-regulated and 587 down-regulated genes) and membrane (271 up-regulated and 597 down-regulated genes). For molecular function, the dominant terms were binding (491 up-regulated and 781 down-regulated genes) and catalytic activity (414 up-regulated and 687 down-regulated genes).

Fig. 2. Bar chart of GO classification for DEGs

KEGG Enrichment Analysis of DEGs between ‘Ganlong 2’ and Common C. camphora chvar. borneol

A total of 442 DEGs were annotated in KEGG (Fig. 3), which were mainly enriched in the pathways of plant-pathogen interaction (41 genes), neurotrophin signaling (32 genes), terpenoid backbone biosynthesis (26 genes), toll-like receptor signaling (26 genes), NF-kappa B signaling (25 genes).

Fig. 3. KEGG enrichment scatter plot of DEGs

Analysis of the Natural Borneol Biosynthetic Pathway in C. camphora chvar. borneol

KEGG enrichment analysis revealed significant enrichment in the terpenoid backbone biosynthesis pathway, involving a total of 26 genes. Terpenoids, one of the most diverse classes of natural products, initiate their biosynthesis through a highly conserved terpenoid backbone assembly process (Rehman et al. 2016). This pathway relies on the MVA and MEP pathways to supply key precursors and employs catalytic enzymes such as GPPS (geranyl diphosphate synthase) and FPP (farnesyl diphosphate synthase) to form structurally diverse terpenoid skeletons. The biosynthesis of (+)-borneol plays a central role in this pathway. In-depth elucidation of its synthetic mechanism not only contributes to understanding the directional regulation of terpenoid metabolism but also provides a theoretical foundation for achieving efficient and sustainable production of natural borneol through metabolic engineering strategies.

This study constructed the biosynthetic pathway of natural borneol in C. camphora chvarborneol and annotated and quantified the expression of key catalytic enzyme-encoding transcripts: a total of 46 transcripts from 18 key enzyme genes were annotated, of which 15 were significantly up-regulated, 7 were significantly down-regulated, and 22 showed no significant difference (Fig. 4).

Fig. 4. Natural borneol biosynthetic pathway and heatmap in C. camphora chvar. borneol

Notably, 15 transcripts in the MVA pathway generally exhibited a down-regulation trend. For instance, the expression levels of CcAACT1 (TRINITY_DN950_c3_g1), CcPMK (TRINITY_DN10187_c0_g1), and CcHMGCS1 (TRINITY_DN693_c0_g2) in common C. camphora chvar. borneol were 5.07-fold, 25.54-fold, and 3.13-fold higher, respectively, than those in ‘Ganlong 2’. Conversely, 16 transcripts in the MEP pathway were generally up-regulated, with the expression levels of CcDXS1 (TRINITY_DN29449_c0_g1), CcDXR1 (TRINITY_DN34892_c2_g1), and CcISPF (TRINITY_DN3644_c0_g1) in ‘Ganlong 2’ being 683.77-fold, 34.18-fold, and 2.55-fold higher, respectively, than those in common C. camphora chvar. borneol. Furthermore, key downstream genes in borneol biosynthesis (including GPPS1GPPSIDIBPPS, and NUDX1) were also overall up-regulated; particularly, the expression changes of CcBPPS (TRINITY_DN22089_c0_g1), CcNUDX1 (TRINITY_DN4150_c0_g1), and CcGPPS1a (TRINITY_DN70319_c0_g2) in ‘Ganlong 2’ were most significant, being 315.41-fold, 10.00-fold, and 2.77-fold higher, respectively, than those in common C. camphora chvar. borneol. These results indicate that the enhancement of the MEP pathway is a crucial molecular basis for the high accumulation of borneol in the ‘Ganlong 2’ cultivar.

Fig. 5. Relative expression levels of DEGs

Validation of Transcriptome Data by qRT-PCR Analyses

Eight differentially expressed candidate genes, including phosphomevalonate kinase (PMKTRINITY_DN10187_c0_g1), 1-deoxy-D-xylulose-5-phosphate synthase 1 (DXS1TRINITY_DN29449_c0_g1), 1-deoxy-D-xylulose-5-phosphate reductoisomerase 1 (DXR1TRINITY_DN992_c1_g1), 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (ISPFTRINITY_DN3644_c0_g1), geranyl diphosphate synthase 1a (GPPS1aTRINITY_DN70319_c0_g2), geranyl diphosphate synthase a (GPPSa, TRINITY_DN15539_c0_g1), bornyl diphosphate synthase (BPPSTRINITY_DN22089_c0_g1), and NUDIX hydrolase (NUDX1TRINITY_DN4150_c0_g1), were selected for qRT-PCR validation. The results showed that except for the PMK gene, the expression levels of all other genes in the ‘Ganlong 2’ were higher than those in common C. camphora chvar. borneol, which was basically consistent with the transcriptome results, demonstrating the reliability of the transcriptome data.

Natural borneol, a high-value monoterpenoid, holds broad application prospects in pharmaceuticals, fragrances, and other industries. Although its biosynthetic pathway has been characterized in several plant species, the synthetic mechanisms vary among species, particularly in the expression regulation of key enzyme genes, metabolic flux partitioning, and secondary modifications, which require further elucidation. Studies in Lavandula angustifoliaWurfbainia villosa, and Salvia officinalis have identified several enzyme genes, such as BPPS and NUDX, that are associated with borneol synthesis (Despinasse et al. 2017; Yang et al. 2024). However, the functional differentiation and expression patterns of these genes across species remain unclear. Systematic analysis of the biosynthetic network in C. camphora, a major natural source of borneol, is still relatively limited.

‘Ganlong 2’, a new variety obtained through directed breeding, demonstrated stable high essential oil yield, high borneol content, and low camphor content in trials conducted from 2022 to 2024 in Ji’an, Jiujiang, and Ganzhou. Data over three years showed that its fresh leaf essential oil yield was on average 1.39 times that of common C. camphora chvar. borneol, with borneol content 6.8% higher and camphor content significantly reduced (only 45.9% of that in common variety). Therefore, ‘Ganlong 2’ not only exhibits significant advantages in yield and quality but also shows strong environmental stability, providing a solid foundation for its further promotion and industrial development.

This study systematically analyzed the key metabolic pathways of borneol biosynthesis in C. camphora chvar. borneol, revealing overall upregulation of MEP pathway genes and partial suppression of MVA pathway genes in ‘Ganlong 2’. Specifically, the expression levels of key MEP pathway genes CcDXS1CcDXR1, and CcISPF in ‘Ganlong 2’ were 684-fold, 34.2-fold, and 2.55-fold higher, respectively, than those in the common variety. In contrast, MVA pathway genes CcAACT1CcPMK, and CcHMGCS1 were significantly downregulated. These results indicate that the MEP pathway is the primary contributor to the high accumulation of borneol in ‘Ganlong 2’. This observation aligns with the subcellular compartmentalization of terpenoid biosynthesis in plants: the MEP pathway, located in plastids, primarily synthesizes precursors for monoterpenes (C10) and diterpenes (C20), whereas the MVA pathway, situated in the cytoplasm, mainly participates in the production of sesquiterpenes (C15) and triterpenes (C30) (Pu et al. 2021). As a monoterpene, (+)-borneol synthesis more directly relies on the plastid-localized MEP pathway, which may offer higher carbon flux efficiency and substrate specificity. This predominant role of the MEP pathway in monoterpene precursor supply appears to be conserved within Lauraceae species, as evidenced by the significant upregulation of a specific DXS gene (CbDXS9) in the high-borneol chemotype of Cinnamomum burmannii (Yang et al. 2020). This mechanism is also supported by evidence from Blumea balsamifera (Guan et al. 2024), where methyl jasmonate (MeJA) treatment specifically induced upregulation of MEP pathway genes (e.g., DXS and DXR), correlating positively with borneol accumulation, while the MVA pathway showed minimal response, further affirming the dominant role of the MEP pathway in borneol biosynthesis.

Furthermore, downstream synthetic genes, including CcBPPSCcNUDX1, and CcGPPS1a, were significantly upregulated in ‘Ganlong 2’, collectively enhancing borneol biosynthesis capability. Notably, the expression level of CcNUDX1 increased by 10-fold, suggesting a potential key role in hydrolyzing BPP to generate borneol, similar to WvNUDX24 in Wurfbainia villosa (Yang et al. 2024). The functional characterization of such Nudix hydrolases across different plant taxa, including members of Lauraceae, is crucial for elucidating the final catalytic step in borneol biosynthesis. It is worth noting that natural borneol can be converted to camphor via catalysis by borneol dehydrogenase (BDH) (Lin et al. 2023); however, transcriptome data did not indicate significant differential expression of BDH genes, suggesting that the high borneol accumulation in ‘Ganlong 2’ is not achieved by suppressing camphor synthesis but rather through optimized precursor supply and enhanced dedicated borneol synthesis steps. This metabolic strategy contrasts with the scenario in borneol-type C. camphora, where a highly efficient BDH (CcBDH3) actively converts (+)-borneol to (+)-camphor (Ma et al. 2021b). The lack of significant BDH upregulation in ‘Ganlong 2’ highlights a distinct mechanism for maintaining high borneol content, primarily through pathway precursor enhancement rather than competition at the final oxidation step. Particularly noteworthy is the compensatory regulatory mechanism observed between the MVA and MEP pathways in ‘Ganlong 2’: while the MVA pathway is partially suppressed, the MEP pathway is significantly enhanced, thereby maintaining or even improving overall borneol synthesis levels. Such intricate inter-pathway regulation underscores the metabolic plasticity within the Cinnamomum genus. Comparative transcriptomics in C. burmannii also identified candidate transcription factors potentially involved in coordinating terpenoid metabolism (Yang et al. 2020), suggesting that complex regulatory networks fine-tuning the MEP/MVA balance may be a shared feature among borneol-producing Lauraceae species. This mechanism not only deepens the understanding of regulatory networks in plant terpenoid metabolism but also provides new insights for future metabolic engineering strategies aimed at coordinately optimizing multiple pathways.

From an industrial perspective, ‘Ganlong 2’ demonstrates significant potential for commercial development. Its stable phenotype of high essential oil and high borneol content provides a germplasm foundation for establishing large-scale, standardized raw material bases for natural borneol production, which could alleviate the current market instability and heavy reliance on synthetic alternatives. In the pharmaceutical sector, its substantially reduced camphor content is critically important, as camphor acts as a competitive component and excessive levels may induce neurotoxic side effects. Consequently, the high-purity, low-camphor natural borneol derived from ‘Ganlong 2’ better complies with stringent pharmaceutical quality standards, providing superior raw material for developing safer traditional Chinese medicine injections, oral preparations, and topical applications. In the biotechnology field, the key genes identified in this study (such as CcDXS1 and CcNUDX1) offer valuable genetic resources for reconstructing and optimizing the borneol biosynthetic pathway in microbial cell factories through synthetic biology strategies. For instance, building upon metabolic engineering successes in producing rare and valuable terpenoids (such as artemisinic acid and ginsenosides) in yeast, introducing efficient genetic elements from ‘Ganlong 2’ into engineered yeast strains holds promise for achieving green and efficient fermentative production of natural borneol (Paddon and Keasling 2014), thereby reducing traditional dependence on plant resources. Furthermore, its leaves serve as ideal materials for direct borneol production through plant cell suspension culture. Related plant cell culture technologies have been successfully applied in the industrial production of secondary metabolites such as paclitaxel, and this approach is equally applicable to borneol production, enabling precise process control and year-round operation (Wilson and Roberts 2012). Collectively, the promotion of ‘Ganlong 2’ and its integration with relevant biomanufacturing technologies will jointly advance the upgrading and sustainable development of the natural borneol industry chain.

CONCLUSIONS

  1. A multi-site, three-year comparative study confirmed that ‘Ganlong 2’ consistently exhibited high borneol content, high essential oil yield, and low camphor content, providing valuable material for investigating efficient natural borneol biosynthesis.
  2. Transcriptomic analysis revealed the borneol biosynthetic pathway in borneol camphor trees, identifying key genes (including CcBPPSCcNUDX1, and CcDXS1) and establishing the MEP pathway as the major biosynthetic route.
  3. These findings advance the understanding of monoterpene biosynthesis and offer a genetic basis for synthetic biology approaches to improve borneol production and guide the breeding of high-yield, high-purity borneol camphor varieties.

ACKNOWLEDGMENTS

The authors are grateful for financial support from the National Key Research and Development Project of the National Forestry and Grassland Administration (Grant No. GZC [2021] 89), Research Project of Jiangxi Forestry Bureau (No. 202226) and the Key R & D Program of Jiangxi Science and Technology Department (No. 20212bbf63046).

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Article submitted: August 31, 2025; Peer review completed: September 28, 2025; Revised version received: October 5, 2025; Accepted: October 9, 2025; Published: October 29, 2025.

DOI: 10.15376/biores.20.4.10906-10921