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Overexpression of Flfbp1 gene triggers the transition of Fusarium lateritium from a mutualistic endophyte to a pathogen via more β-Carboline production

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  • Received: 25 February 2026
    Revised: 12 April 2026
    Accepted: 27 April 2026
    Published online: 10 July 2026
    Mycosphere  17 Article number: e009 (2026)  |  Cite this article
  • The transition from a symbiotic to a parasitic state is a widespread phenomenon among endophytes in nature. However, the underlying mechanisms regulating this transition remain largely unclear. Our study reveals that a conserved fungal virulence factor, the F-box protein Fbp1, and its homolog are involved in the transition from symbiosis to pathogenesis in the endophytic fungus F. lateritium. Knockout of Flfbp1 in the endophytic F. lateritium significantly enhanced the colonization capacity of the strain in tobacco and improved its plant growth-promoting ability. Conversely, overexpression of Flfbp1 led to a marked decrease in colonization rates and caused host plant lethality in tobacco. These results indicate that Flfbp1 regulates the transition of the endophytic fungus from a symbiotic to a pathogenic state. Further mechanistic investigation demonstrated that Flfbp1 interacts with heat shock protein Flhsp1 to regulate the transcription of Flsmp1, a gene associated with β-Carboline synthesis, thereby mediating the synthesis of β-Carboline. This process disrupts auxin homeostasis in the plant, ultimately leading to plant death. This study identifies Flfbp1 as a core molecular switch that regulates the transition from symbiosis to pathogenesis in F. lateritium by modulating the synthesis of specific secondary metabolites.
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  • Supplementary Fig. S1 Expression pattern of Flfbp1 during F. lateritium interaction with different host plants.
    Supplementary Fig. S2 Expression and functional analysis of Flfbp1 during F. lateritium interaction with N. benthamiana (Nb).
    Supplementary Fig. S3 Construction and verification of Flfbp1 knockout and overexpression mutants in F. lateritium F1617.
    Supplementary Fig. S4 WT strain promotes growth of N. benthamiana.
    Supplementary Fig. S5 Flfbp1 modulates the intensity, but not the site, of fungal colonization in tobacco roots.
    Supplementary Fig. S6 Flfbp1 modulates the growth‑promoting effect of F. lateritiumon non-Nicotianahosts, including Arabidopsis thaliana and tomato.
    Supplementary Fig. S7 Transcriptome differential analysis of WT and Flfbp1OE of F. lateritium Fl617.
    Supplementary Fig. S8 CFW staining of plant cell wall structure after interaction with different F. lateritiumstrains.
    Supplementary Fig. S9 Overexpression of Flfbp1 in F. lateritium suppresses PTI/ETI immunity and SA, JA, and ET hormone pathways in N. benthamiana.
    Supplementary Fig. S10 F. lateritium (WT) promotes growth of N. benthamiana via secreted secondary metabolites.
    Supplementary Fig. S11 β-Carboline is enriched in the Flfbp1OE strain.
    Supplementary Fig. S12 β-Carboline inhibits N. benthamiana seedling growth in a dose-dependent manner.
    Supplementary Fig. S13 Construction and identification of single-gene knockout mutants of Flhsp1 and Flsmp1, and Flhsp1 knockout mutant in the Flfbp1OE background in F. lateritium. F1617.
    Supplementary Fig. S14 Interaction phenotypes and secondary metabolite analysis of Flhsp1 and Flsmp1 complementation strains of F. lateritium F1617 with N. benthamiana.
    Supplementary Fig. S15 Flfbp1 and Flhsp1 regulate fungal stress resistance and sporulation.
    Supplementary Fig. S16 Overexpression of Flfbp reshapes the transcript profile of auxin-related genes in N. benthamiana. N. benthamiana plants were inoculated with WT or Flfbp1OE strains, and samples were collected at 10 d post-inoculation.
    Supplementary Fig. S17 Overexpression of Flfbp1 in F. lateritium reshapes the gibberellin (GA) pathway transcriptome in N. benthamiana. N. benthamiana plants were inoculated with WT or Flfbp1OE strains, and samples were collected at 10 d post-inoculation for transcriptome sequencing to analyze the expression changes of GA pathway genes.
    Supplementary Fig. S18 Flfbp1, Flhsp1 and Flsmp1 regulate the growth of N. benthamiana under chemical perturbation via the auxin response pathway.
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  • Cite this article

    Li Y, Zha X, Xiao Q, Wang J, Liu G, et al. 2026. Overexpression of Flfbp1 Gene Triggers the Transition of Fusarium lateritium from a Mutualistic Endophyte to a Pathogen via more β-Carboline production Mycosphere 17: e009 doi: 10.48130/mycosphere-0026-0009
    Li Y, Zha X, Xiao Q, Wang J, Liu G, et al. 2026. Overexpression of Flfbp1 Gene Triggers the Transition of Fusarium lateritium from a Mutualistic Endophyte to a Pathogen via more β-Carboline production Mycosphere 17: e009 doi: 10.48130/mycosphere-0026-0009

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ARTICLE   Open Access    

Overexpression of Flfbp1 gene triggers the transition of Fusarium lateritium from a mutualistic endophyte to a pathogen via more β-Carboline production

Mycosphere  17 Article number: e009  (2026)  |  Cite this article

Abstract: The transition from a symbiotic to a parasitic state is a widespread phenomenon among endophytes in nature. However, the underlying mechanisms regulating this transition remain largely unclear. Our study reveals that a conserved fungal virulence factor, the F-box protein Fbp1, and its homolog are involved in the transition from symbiosis to pathogenesis in the endophytic fungus F. lateritium. Knockout of Flfbp1 in the endophytic F. lateritium significantly enhanced the colonization capacity of the strain in tobacco and improved its plant growth-promoting ability. Conversely, overexpression of Flfbp1 led to a marked decrease in colonization rates and caused host plant lethality in tobacco. These results indicate that Flfbp1 regulates the transition of the endophytic fungus from a symbiotic to a pathogenic state. Further mechanistic investigation demonstrated that Flfbp1 interacts with heat shock protein Flhsp1 to regulate the transcription of Flsmp1, a gene associated with β-Carboline synthesis, thereby mediating the synthesis of β-Carboline. This process disrupts auxin homeostasis in the plant, ultimately leading to plant death. This study identifies Flfbp1 as a core molecular switch that regulates the transition from symbiosis to pathogenesis in F. lateritium by modulating the synthesis of specific secondary metabolites.

    • Endophytes originated approximately 460 million years ago alongside the emergence of land plants, where they modulate diverse biological processes and sustain host fitness. During hundreds of millions of years of coevolution, endophytes have maintained evolutionarily independent strategies with remarkable lifestyle plasticity. They can dynamically shift between mutualistic and pathogenic states within the same host, governed by host–microbe genotypes, compatibility, and environmental cues; this plasticity underpins the stability and evolution of plant–microbe symbiotic systems[1,2]. Fungi, as the dominant group among endophytes, have been well documented for their lifestyle plasticity. Fungal groups such as endophytic, freshwater, and wood-rotting fungi in the special habitats of Southwest China exhibit high species diversity and habitat adaptability, enabling them to widely adapt to diverse hosts, substrates, and climates[37]. Unraveling the molecular regulatory mechanisms underlying such adaptation and lifestyle switching represents a core scientific question in the current research field. Current mechanistic understanding remains heavily skewed toward pathogenic fungi, for which regulatory frameworks are well-established. In contrast, the molecular basis underlying state transitions in endophytic fungi remains poorly defined—particularly in Fusarium species with dual symbiotic–pathogenic phenotypes. The identity of key regulators and core signaling pathways governing these switches remains elusive, constituting a critical knowledge gap in microbial symbiosis research.

      In recent years, a series of breakthroughs have been made in understanding the molecular mechanisms governing lifestyle transitions in pathogenic fungi. Three core regulatory axes have been established, including transcriptional regulation, epigenetic modification, and secondary metabolite biosynthesis, providing a solid framework for dissecting analogous mechanisms in endophytic fungi[810]. Pioneering studies have identified several conserved and pivotal virulence regulators, such as the fungal F-box protein Fbp1, the Pseudomonas syringae effector HopF2, and the Candida albicans transcription factors Ume6/Efg1. Loss-of-function of these regulators directly triggers the switch between pathogenic and symbiotic lifestyles in pathogenic microbes[1113]. Recent advances have further refined these regulatory networks. In Magnaporthe oryzae, MoSnt2 mediates epigenetic modification through histone deacetylation to precisely control the spatiotemporal expression of virulence genes, thereby enabling the transition between latent and pathogenic states[14]. In Fusarium oxysporum, the transcription factor FovSge1 determines fungal colonization ability and pathogenic phenotypes by modulating the effector secretome[15]. In Verticillium dahliae, VdPKS9 regulates the expression of secondary metabolite biosynthetic gene clusters to mediate microsclerotia formation and virulence[16]. In striking contrast, studies on endophytic fungi remain largely scarce. Several studies have identified key regulatory factors that control the transition between symbiotic and pathogenic states in certain fungi, for example, overexpression of the CtBOT6 transcription factor in Colletotrichum tofieldiae can directly convert this beneficial root endophyte into a pathogen[17]. However, such studies are limited to specific taxa and lack universal applicability. Most current investigations only describe fundamental phenotypes by adopting the framework established for pathogenic fungi. Even in the widely studied genus Fusarium, only sporadic observations are available. Fusarium foetens produces the secondary metabolite FF-C1 to establish mutualistic symbiosis, and closely related strains can shift to a pathogenic lifestyle under environmental stress[18]. To date, the key regulators that govern the symbiotic–pathogenic transition in endophytic Fusarium remain unidentified.

      Microbial secondary metabolites act as central mediators governing fungal lifestyle transitions and plant–fungus interactions, a concept that has been increasingly validated and expanded in recent investigations[1922]. Among these metabolites, alkaloids represent pivotal effector molecules in cross-kingdom communication by virtue of their potent plant physiological regulatory activities, with β-Carboline as a paradigmatic example. Accumulating evidence has established that β-Carboline specifically inhibits polar auxin transport in plants by repressing the expression of PIN-family transporters, thereby markedly suppressing seedling growth in Arabidopsis thaliana. Notably, this inhibitory effect exhibits a clear concentration-dependent manner; elevated β-Carboline concentrations lead to progressively stronger inhibition and damage to root development and seed germination[23]. Nevertheless, β-Carboline compounds identified to date are exclusively isolated from plants and bacteria. Whether members of the genus Fusarium are capable of synthesizing β-Carboline remains unknown, and the precise molecular pathways by which β-Carboline mediates endophytic fungus–plant interactions remain largely elusive. Meanwhile, auxin homeostasis constitutes a core regulatory module for plant growth and development, as well as a critical hub for establishing microbe–plant symbiosis[24,25]. Auxin transport represents a central step in the precise spatiotemporal control of auxin signaling, and its disruption directly impairs normal plant development and disturbs symbiotic relationships within the microbial niche[26,27]. However, current studies have predominantly focused on the regulation of auxin transport by plant-encoded genes. The mechanism by which endophytic fungi modulate host auxin transport via endogenous metabolites to orchestrate their own symbiotic–pathogenic switch remains largely unexplored. This represents a critical knowledge gap in dissecting the molecular basis underlying endophytic fungus–plant interactions.

      In this study, we characterize an endophytic strain F. lateritium Fl617 that confers plant growth promotion and disease resistance in several Solanaceae species[2831]. Transcriptomic profiling of the F. lateritium Fl617–plant interaction revealed that a gene encoding an F-box protein, designated Flfbp1, was significantly down-regulated during host colonization. This expression pattern is in sharp contrast to that of the homologous Fbp1 characterized in pathogenic fungi, implying divergent functional roles of F-box proteins between endophytic and pathogenic lifestyles. Further analyses demonstrated that Flfbp1 mediates the reversible switch of F. lateritium Fl617 between symbiotic and pathogenic states, independent of fungal colonization levels. Importantly, β-Carboline, a secondary metabolite under the direct control of Flfbp1, acts as the key effector governing this lifestyle transition. Transcriptional activation of the β-Carboline biosynthetic gene cluster promotes metabolite accumulation and triggers pathogenicity in planta. Conversely, genetic disruption of the biosynthetic gene reduces β-Carboline production and shifts the fungus toward a plant growth-promoting endophytic phenotype. Moreover, we demonstrate that β-Carboline modulates plant growth by suppressing auxin transport. Collectively, this study identifies the master regulator Flfbp1 that governs the symbiotic–pathogenic switch in endophytic F. lateritium Fl617, and provides the first evidence that members of the genus Fusarium can synthesize β-Carboline. We further delineate the molecular mechanism by which β-Carboline orchestrates fungus–plant cross-kingdom communication. These findings not only offer novel insights into the molecular regulatory basis underlying lifestyle transitions in endophytic fungi but also establish a new paradigm for understanding how microbial secondary metabolites shape the dynamic interplay between fungi and their host plants.

    • Wild-type and mutant strains of F. lateritium were cultured on PDA at 28 °C, while N. benthamiana seedlings were grown in a Walk-in Chamber (WIPGC-BP83.Fujian Jiupo Biotechnology Co., Ltd) at 25 °C under a 16 h light/8 h dark photoperiod.

      In this study, N. benthamiana was selected as the host plant for three major reasons. First, the fungal strain confers plant growth promotion and disease resistance in Solanaceae species, and N. benthamiana is ideal for molecular mechanism studies under laboratory conditions. Second, as a well-established model plant, N. benthamiana possesses a well-annotated genome and is highly amenable to molecular manipulations. Third, its short life cycle and easily observable and quantifiable phenotypes greatly improve experimental efficiency.

    • N. benthamiana seed pretreatment: Seeds were rinsed five times with sterile water to remove shrivelled, dry, and insect-damaged ones. They were then soaked in 2% NaClO for 10 min, followed by five rinses with sterile water to eliminate residual NaClO. The seeds were placed in Petri dishes lined with moist filter paper and incubated at 25 °C under a 16 h light/8 h dark photoperiod for 1 week. After the seeds germinate, the seedlings are transplanted into a fresh MS medium containing 3% sucrose and continue to be cultured for 3 weeks.

      Preparation of F. lateritium spore suspension: Six mycelial plugs (0.5 cm in diameter) were taken from the edge of the mycelium using a punch and inoculated into 50 ml of 1/4 SDB medium. The culture was incubated at 150 rpm for 3–5 d. The spore suspension was collected by filtering the mycelium through three layers of filter paper, and the final concentration was adjusted to 5 × 105 spores/mL.

      Co-cultivation operation: inoculate 5 μL spore suspension 2 cm below the tobacco root and co-culture at 25 °C under a 16 h light/8 h dark photoperiod. Each treatment and control group consisted of 30 tobacco seedlings co-cultivated with the fungal strain.

    • The roots of axenic seedlings of N. benthamiana were immersed in a spore suspension of F. lateritium (5 × 105 conidia/mL) for 10 min for inoculation. After co-cultivation for 3, 5, 7, and 10 d, respectively, roots were harvested and cut into 1 cm-long segments. Root segments were then treated with a 10% KOH solution in a boiling water bath for 6 min, and rinsed twice with sterile water to remove residual KOH. The cleared root segments were placed in a mixed staining solution containing WGA488 (10 μg/mL) and PI (15 μg/mL), and incubated in the dark for 30 min for staining. After staining, segments were rinsed one to two times with phosphate-buffered saline (PBS, pH 7.4) to remove unbound free dyes on the surface and reduce background fluorescence interference. The treated samples were then mounted on a glass slide with 20% glycerol and observed using a LSM900 confocal laser scanning microscope. WGA488 (AF 488) is excited with a 488 nm argon laser, and the emitted light is collected via a hybrid detector in the 500–550 nm wavelength range; PI is excited with a 532 nm argon ion laser, and the emitted light is collected via a hybrid detector in the 600–660 nm wavelength range[32].

    • Roots of N. benthamiana were inoculated with fungal spore suspensions ( WT, ΔFlfbp1, Flfbp1OE, and ΔFlfbp1-C) at a concentration of 5 × 105 spores/mL.The spore suspension was prepared as follows: strains were cultured in 1/4 SDB medium at 28 °C for 7 d. Spores were harvested, washed with sterile water, filtered to remove mycelia, and the concentration was adjusted to 5 × 105 spores/mL. After inoculation, plants were incubated at 28 °C under a 16 h light/8 h dark photoperiod with 60% relative humidity for 7 d. After incubation, tobacco root tissues were collected and gently washed three times with a sterile PBS buffer to remove residual non-invaded fungi on the surface. Roots were then fixed in 50% FAA fixative at 4 °C for 24 h, followed by paraffin embedding and sectioning performed by Servicebio (Wuhan, China; www.servicebio.cn). Paraffin sections were dewaxed and rehydrated sequentially in: dewaxing transparent solution I (room temperature, 20 min), dewaxing transparent solution II (room temperature, 20 min), anhydrous ethanol I (5 min), anhydrous ethanol II (5 min), and 75% ethanol (5 min), followed by rinsing with tap water 3 times for 2 min each. Sections were placed in a dark, humid chamber and stained with a mixture containing 10 μg/mL fluorescein-labeled wheat germ agglutinin (WGA488) and 15 μg/mL propidium iodide (PI) in the dark at room temperature for 30 min. After staining, an LSM900 laser scanning confocal microscope (Zeiss) was used for observation. WGA488 was excited by a 488 nm argon laser, and emission was collected at 500–550 nm (labeling plant cell walls/membranes, green signal). PI was excited by a 532 nm laser, and emission was collected at 600–660 nm (labeling nuclei, red signal)[32].

    • Total RNA was extracted using the Rapid RNA Extraction Kit (RNApure Plant Kit from CWbio) according to the manufacturer's instructions. First-strand cDNA synthesis was performed using the StarScript II First-Strand cDNA Synthesis Kit. Quantitative PCR was carried out with SYBR Green qPCR Mix (Monad) on a Bio-Rad detection system. The 2−ΔCt method was used to calculate changes in gene expression[33], with NbEFLA serving as the endogenous control.

    • The fungus/plant DNA ratio (FPDR) was used to monitor fungal infection in N. benthamiana roots[34]. FPDR plays an important role in eliminating errors caused by differences in fungal inoculum amounts. Additionally, FPDR allows for the assessment of whether endophytic fungal colonization affects N. benthamiana root growth and whether N. benthamiana root growth influences endophytic fungal infection. The degree of fungal infection was determined using the 2−ΔCt method, where ΔCt represents the difference between the threshold cycle (Ct) values of the F. lateritium Flfbp1 gene and the N. benthamiana EF-1α gene. Genomic DNA was extracted from N. benthamiana roots following interaction with the strains (which includes the F. lateritium genome) for quantitative real-time PCR analysis.

    • Intact root samples were collected from tobacco co-cultured with different F. lateritium strains, and gently rinsed three times with sterile water to remove free hyphae on the surface and residual medium. The roots were evenly spread on a clean glass slide, and an appropriate amount of CFW staining solution was added to fully immerse the root tissue. After covering with a coverslip, the samples were incubated in the dark at room temperature for 5 min. The coverslip was carefully removed, and the root surface was gently rinsed 4–5 times with washing buffer to thoroughly remove unbound dye and reduce background fluorescence. Excess liquid was absorbed along the edge of the slide with absorbent paper. Fluorescence images were captured under a laser scanning confocal microscope using an excitation wavelength of 355 nm and an emission wavelength of 440 nm. Specific bright blue fluorescent signals from tobacco root cell walls and colonized hyphae were observed[35].

    • Construction of the Flfbp1, Flhsp1, and Flsmp1 knockout mutants:to construct knockout mutants of Flfbp1, Flhsp1, and Flsmp1 in F. lateritium, the Fl617 strain was used as the recipient. The upstream and downstream homologous arms of each gene and the hygromycin resistance selection marker were amplified by overlap PCR, and the gene knockout fusion fragments were constructed by fragment ligation. The knockout fusion fragments were introduced into F. lateritium protoplasts via PEG-mediated fungal protoplast transformation, and the transformed products were spread on TB3 solid medium containing 25 μg/mL hygromycin, followed by incubation at 28 °C until single colonies appeared for primary screening[36]. Single colonies of primary positive transformants were picked and purified for culture, and the genomic DNA of the purified strains was rapidly extracted by the alkaline lysis method. Gene-specific verification primers were designed for PCR amplification and identification to obtain homozygous gene knockout mutants. The bacterial suspension of positive mutants was mixed with 25% glycerol at an equal volume and stored at −80 °C for later use.

      Construction of Flfbp1 overexpression mutants: Flfbp1 overexpression transformants were generated via Agrobacterium tumefaciens (AGL1)-mediated genetic transformation[37]. A single colony of A. tumefaciens harboring the plasmid vector (pK2-hyg-gpdA::Flfbp1) was inoculated into YCK liquid medium (supplemented with 50 μg/mL kanamycin [Kana] and 50 μg/mL carbenicillin [Car]) and cultured overnight (24 h) at 28 °C with shaking at 200 rpm. Bacterial cells were collected by centrifugation at 6,000 rpm for 10 min at 4 °C, resuspended in an appropriate volume of IM liquid medium (containing 400 μmol/L acetosyringone and 10 mmol/L glucose), and the concentration of the resuspended bacterial solution was adjusted to an OD600 of 0.15, followed by incubation at 28 °C with shaking at 180 rpm for approximately 6 h. Meanwhile, fresh Fusarium blastospores (cultured in 1/4 SDB medium at 28 °C with shaking at 180 rpm for 5 d) were dispersed in IM liquid medium, filtered through sterile lens paper to remove mycelia, and after thorough vortexing, the spore concentration was adjusted to a suitable level. An equal volume of the spore suspension and Agrobacterium suspension was mixed, and 100 μL of the mixture was spread onto a microporous filter membrane placed on IM solid medium plates (containing 200 μmol/L acetosyringone and 5 mmol/L glucose), followed by co-cultivation at 22 °C for 48 h. The co-cultured filter membrane was transferred to CZM medium (containing 1 mg/mL cephalosporin and 25 μg/mL hygromycin) for screening. DNA was rapidly extracted using the alkaline lysis method, followed by PCR detection. Correct Flfbp1OE mutants were obtained and stored in 25% glycerol.

      Construction of gene complementation mutants: using the identified homozygous knockout mutants of Flfbp1, Flhsp1, and Flsmp1 as recipient strains, the corresponding gene complementation mutants were constructed via PEG-mediated protoplast transformation. Using the genomic DNA of WT strain Fl617 as the template, the complete open reading frame of each target gene was amplified by PCR, and its own 1.5−2.0 kb promoter region sequence was ligated simultaneously. The amplified fragment was ligated into a fungal expression vector to construct a recombinant complementation vector, which was linearized for later use after being verified correct by double enzyme digestion and sequencing. Protoplasts of the recipient strains were prepared with reference to the above method, and the linearized recombinant complementation vector was introduced into the protoplasts, followed by spreading on TB3 medium containing 10 μg/mL G418 and incubation at 28 °C in the dark until single colonies appeared. Single colonies were picked and purified for culture, and genomic DNA was extracted and identified by PCR with target gene-specific primers to obtain the correct complementation mutants, which were stored in 25% glycerol for later use.

      Construction of Flhsp1 knockout mutants in Flfbp1OE strain:to construct knockout mutants of Flhsp1 in F. lateritium, the Flfbp1OE strain was used as the recipient. The upstream and downstream homologous arms of each gene and the G418 resistance selection marker were amplified by overlap PCR, and the gene knockout fusion fragments were constructed by fragment ligation. The knockout fusion fragments were introduced into F. lateritium protoplasts via PEG-mediated fungal protoplast transformation, and the transformed products were spread on TB3 solid medium containing 10 μg/mL hygromycin, followed by incubation at 28 °C until single colonies appeared for primary screening. Single colonies of primary positive transformants were picked and purified for culture, and the genomic DNA of the purified strains was rapidly extracted by the alkaline lysis method. Gene-specific verification primers were designed for PCR amplification and identification to obtain homozygous gene knockout mutants. The bacterial suspension of positive mutants was mixed with 25% glycerol at an equal volume and stored at −80 °C for later use.

    • N. benthamiana roots were inoculated with WT, ΔFlfbp1, and Flfbp1OE strains, respectively. Plant samples were harvested 10 d post-inoculation and frozen in liquid nitrogen. A 0.1 g aliquot of ground roots was extracted with a buffer containing 100 mM sodium acetate (pH 5.5), 100 mM sodium chloride, 1 mM ethylenediaminetetraacetic acid (EDTA), 2 mM dithiothreitol (DTT), and 1 mM phenylmethylsulfonyl fluoride. To determine cysteine protease activity, 100 μM fluorescent VPE substrate (Ac-ESEN-MCA, Peptide Institute) was added to the root extract, and fluorescence intensity at 465 nm was measured using a fluorescent microplate reader with excitation at 360 nm[38].

    • Three-week-old axenic seedlings of N. benthamiana and a single-spore strain of F. lateritium (spore concentration: 5 × 105 spores/mL) were used. A β-Carboline solution of a specific concentration was prepared and added to the MS medium; an ethanol solvent control and a blank control were also set up. Tobacco seedlings were transplanted in the center of MS plates, and 5 μL of the spore suspension was inoculated 5 cm below the seedling roots. The plates were placed in an incubator at 25 °C for co-cultivation under a 16 h light/8 h dark photoperiod[39].

    • To investigate the interaction between Flfbp1 and Flhsp1, the coding sequence of Flfbp1 was cloned into pGBKT7 (BD) to construct the recombinant vector BD-Flfbp1, and the coding sequence of Flhsp1 was cloned into pGADT7 (AD) to construct the recombinant vector AD-Flhsp1. These vectors were co-transformed into the yeast strain Y2HGold. Positive clones were screened on SD-Trp-Leu (SD-TL) agar containing X-α-Gal and further confirmed on SD-Trp-Leu-His-Ade (SD-TLHA) agar (Coolaber) containing X-α-Gal. NC (negative control): Y2HGold strain transformed with pGBKT-Lam + pGADT7-T. PC (positive control): Y2HGold strain transformed with pGBKT-53 + pGADT7-T[40].

    • The coding sequences of Flfbp1 and Flhsp1 were cloned into the bimolecular fluorescence complementation vectors pCV-nYFP and pCV-cYFP, respectively. Agrobacterium strains harboring the recombinant vectors Flfbp1-nYFP and Flhsp1-cYFP were co-infiltrated into N. benthamiana leaves. After 2 d, YFP fluorescence signals in the infiltrated areas were detected using an LSM900 laser scanning confocal microscope[40].

    • The coding sequences of Flfbp1 and Flhsp1 were cloned into pCAMBIA1300-mCherry and pCAMBIA1300-GFP vectors, respectively. Flfbp1-mCherry and Flhsp1-GFP were co-expressed in N. benthamiana leaves via injection. Proteins were extracted using a protein extraction buffer containing 0.1% (v/v) protease inhibitor and 0.1% (v/v) PMSF. Anti-GFP magnetic beads were used for Co-IP detection according to the manufacturer's manual. Briefly, 20 μL of magnetic beads were co-incubated with 500 μL of protein sample with gentle shaking at 4 °C for 3 h. After incubation, the beads were washed five times with protein extraction buffer. The eluted proteins were boiled for 10 min in a solution containing 40 μL PBS and 10 μL SDS-PAGE loading buffer, separated by SDS-PAGE, and analyzed using anti-GFP or anti-mCherry antibodies[41].

    • Potential ubiquitination sites of the Flhsp1 protein were analyzed using the website https://gpsuber.biocuckoo.cn/userguide.php. Primers were designed to mutate the conserved lysine (K) residue at position 8 of this protein to arginine (R), and site-directed mutagenesis was performed via PCR[42]. The sequences of the primers used are as follows:

      Primer F: gaacacgggggacgagctcATGAGTGACAACGCTGGTTCAAGGGCGGGC;

      Primer R: tgtcgactctagaggatccGATGTTTCCTCGTACACCAC.

    • A 0.1 g aliquot of crude extract from samples of plant interaction with F. lateritium strains was collected, freeze-dried, ground into a fine powder in liquid nitrogen, and then dissolved in methanol. The mixture was sonicated for 30 min, filtered through a 0.25 μm microporous membrane, and stored at 4 °C. For homogenized samples, β-Carboline (1 mg/mL) was added as an internal standard. After filtration through a 0.25 μm microporous membrane, the samples were stored at 4 °C for HPLC analysis. Metabolites were analyzed using a high-performance liquid chromatography (HPLC, Agilent 1290) system equipped with an Agilent Poroshell 120 SB-C18 column (100 × 2.1 mm, 2.7 μm). For β-Carboline analysis, the mobile phase consisted of 60% methanol/50 mM ammonium acetate (pH 8). Samples were eluted at a flow rate of 0.8 mL/min for 15 min. A series of concentrations of each standard compound was prepared and analyzed in parallel with the samples to generate standard curves for metabolite quantification[43]. Each test sample was set up with three biological replicates for detection.

    • Fresh blastospores were collected from each strain cultured in 1/4 SDB liquid medium for 5 d. Spore suspensions were prepared with 0.05% (v/v) Tween-80, counted using a hemocytometer, and adjusted to a concentration of 5 × 105 conidia/mL for subsequent assays of abiotic stress tolerance and conidiation. For abiotic stress tolerance analysis, 3 μL of the spore suspension (5 × 105 conidia/mL) was spot-inoculated onto basal media including PDA, MS, and MM (as untreated control), as well as MM media supplemented with 0.8 M NaCl, 5.76 mM H2O2, 25 μg/mL Congo Red, or adjusted to pH 5.4 or pH 10.4. All plates were incubated at 28 °C for 7 d under light or dark conditions. Colony morphology was photographed, and colony growth rate was measured using the cross-crossing method. For conidiation assays, 100 μL of the spore suspension (5 × 105 conidia/mL) was inoculated into 1/4-strength SDB medium and incubated at 28 °C with shaking at 180 rpm under light for 7 d before quantification. Each treatment was performed with three independent replicates, and all experiments were repeated three times.

    • Intact root samples were harvested from Arabidopsis thaliana co-cultivated with different F. lateritium strains and gently rinsed three times with sterile water to thoroughly remove free hyphae and residual medium from the root surface. Roots were placed without overlapping into centrifuge tubes and fully immersed in GUS staining solution. Samples were incubated in the dark at 37 °C overnight in a constant-temperature incubator. Once distinct blue coloration appeared at the target sites, the staining solution was discarded, and roots were destained 2–3 times in 70% ethanol until the negative control tissues became colorless. The destained roots were rinsed once with sterile water, gently spread on a clean glass slide with a small volume of sterile water, and observed under a stereomicroscope[44].

    • Roots of F. lateritium or N. benthamiana seedlings at the specified co-culture time were selected as samples for transcriptome detection. To ensure data reliability, three biological replicates were set for each group (each replicate contained 30 N. benthamiana seedlings for the tobacco group and 30 culture plates of F. lateritium for the fungal strain group). Immediately after collection, the samples were rapidly frozen in liquid nitrogen, then transferred to −80 °C for low-temperature storage to prevent RNA degradation, and subsequently sent to Majorbio Bio-pharm Technology Co., Ltd. for follow-up experiments. In the experiment, total RNA was extracted using TRIZOL reagent, and multiple quality control steps were conducted after extraction to ensure quality: the purity standard was OD260/280 ≈1.8–2.2, a spectrophotometer was used to detect RNA concentration and purity, while RNA integrity was verified by denaturing agarose gel electrophoresis, and sequencing was carried out only after confirming the samples fully met the experimental requirements. For the sequencing stage, the Illumina Novaseq 6000 or HiSeq 3000 platform was selected. During data analysis, Trimmomatic software was first used to remove low-quality reads and adapter sequences, followed by alignment and quantification of the processed data; then, the R packages tximport and DESeq2 were used to calculate the log2 fold change in gene expression and conduct differential expression analysis. Finally, differentially expressed genes were screened with the threshold of FDR-adjusted p-value < 0.05, functional enrichment analysis of differentially expressed genes was performed using Blast2GO software (www.blast2go.com/b2ghome), while KEGG metabolic pathway analysis was conducted with Cytoscape software (www.cytoscape.org/) and its plugin ClueGO (www.ici.upmc.fr/cluego/cluegoDownload.shtml). KEGG pathway analyses were performed using the KEGG database[45], with all experimental data deposited in the NCBI GEO database for archiving[32].

    • For the statistical analysis of relative gene expression levels, the group with the highest data stability and reproducibility was first selected from three candidate groups, and the final relative gene expression level was determined as the mean value of three biological replicates within this optimal group, ensuring data reliability and statistical power.

      All quantitative data are presented as the mean ± standard deviation (SD) of at least three independent biological replicates. For comparisons between two groups, statistical significance was determined using an unpaired Student's t-test. For experiments involving three or more groups, one-way analysis of variance (ANOVA) was performed, followed by Tukey's Honestly Significant Difference (HSD) post hoc test to identify specific inter-group differences.

    • Host specificity represents a prominent and conserved feature in endophytic fungus–plant interactions. Unraveling the molecular regulatory mechanisms governing such specificity remains a central scientific challenge in the field of microbe–plant communications. Our previous work demonstrated that the endophytic strain F. lateritium Fl617 exhibits distinct and stable phenotypic divergence when interacting with hosts from different plant families. Specifically, this strain establishes a typical mutualistic symbiosis with solanaceous plants, including tobacco, tomato, and potato, significantly promoting host growth and enhancing disease resistance[2831]. In contrast, when interacting with sorghum (Poaceae) and oilseed rape (Brassicaceae), Fl617 shows no obvious growth-promoting effects, but also does not inhibit host development or cause disease symptoms, maintaining a stable commensal interaction (unpublished data). Such differential interaction patterns across distantly related host plants strongly suggest the existence of core regulators in Fl617 that govern host-specific symbiotic adaptation, whose expression profiles are likely tightly linked to fungal perception and accommodation of distinct host environments. To identify these key regulators, we systematically analyzed transcriptomic data of F. lateritium Fl617 during root colonization of three representative hosts: tomato, sorghum, and oilseed rape. We focused on genes displaying consistent expression changes across all three hosts, as this strategy effectively excludes non-specific responses induced by host-specific signals and enriches for fungal-intrinsic core regulators of symbiosis. Conserved expression patterns of these genes are proposed to serve as a critical molecular basis for the stable establishment of interactions between Fl617 and diverse host plants. The present study aimed to identify key conserved candidate genes involved in the broad-host interaction of F. lateritium Fl617, thereby laying a foundation for dissecting the molecular mechanisms by which these core genes control fungal symbiotic lifestyles.

      Based on this screening strategy, in-depth transcriptomic analysis revealed that a gene annotated as encoding an F-box-like protein was significantly downregulated in Fl617 during interactions with all three distantly related plant species (Supplementary Fig. S1). This conserved down-regulation pattern across hosts implies that this gene may act as a core candidate regulator of fungal–host interactions. Further analysis showed that the gene encodes a 529-amino-acid protein, sharing 98%, 88%, and 87% identity with orthologs from F. solani, F. oxysporum, and F. pseudograminearum, respectively. The protein contains an F-box domain at residues 125–164 aa and six WD40 domains at residues 190–529 (Fig. 1a, b). Three-dimensional structural modeling using SWISS-MODEL predicted a typical F-box protein architecture (Fig. 1c), with a conserved Protein-Ligand Interaction Site (PLIP) including six conserved residues: G350, L354, A369, R375, W377, and R384. This structure is highly similar (95% identity) to the SCFCdc4 ubiquitin ligase complex[46]. Accordingly, the protein was designated FlFbp1 (F. lateritium F-box Protein 1). BLAST homology searches using the FlFbp1 sequence indicated that this protein is unique and highly conserved within the genus Fusarium (Fig. 1d). Previous studies reported that the conserved virulence-associated F-box protein Fbp1 is transcriptionally actifusaria such as F. oxysporum and F. graminearum[11,4748]. In striking contrast, Flfbp1 in the endophytic F. lateritium Fl617 was significantly repressed upon root interaction with host plants. We therefore hypothesize that FlFbp1 functions as a key regulator that modulates the symbiotic lifestyle of endophytic F. lateritium Fl617 and participates in the regulation of fungus–plant interactions.

      Figure 1. 

      Prediction of Flfbp1 protein domains. (a) Homologous alignment and domain prediction of the Flfbp1 gene. Using the Flfbp1 protein as a probe, blast alignment was performed on its homologous protein sequences to predict conserved domains. The F-box domain is marked with a red underline, and the WD40 domain is marked with a blue box. (b) Schematic diagram of the Flfbp1 protein structure. (c) Prediction of the three-dimensional structure and conserved amino acid sites of Flfbp1. The three-dimensional structure was modeled using SWISS-MODEL with the Flfbp1 protein as a probe; red triangles mark conserved amino acid residues, and red circles indicate protein-ligand interaction regions (PLIP) composed of conserved residues. (d) Retrieval of homologous genes of this protein using the Flfbp1 protein sequence as a probe.

    • To investigate the role of Flfbp1 in endophytic F. lateritium during fungus–plant interactions, we initially selected N. benthamiana as the host and profiled Flfbp1 expression dynamics. Flfbp1 was found to be significantly downregulated throughout the entire interaction period (Supplementary Fig. S2aS2d), consistent with its expression patterns in sorghum, rapeseed, and tomato. This conserved expression across diverse hosts excludes host-specific effects on Flfbp1 function, supporting the use of N. benthamiana as a model for subsequent functional assays. We further generated the Flfbp1 knockout mutant (ΔFlfbp1), overexpression mutant (Flfbp1OE), and complemented strain (ΔFlfbp1-C) using targeted gene knockout and ectopic overexpression techniques (Supplementary Fig. S3), and these mutants were inoculated into N. benthamiana under axenic conditions on MS medium to evaluate phenotypic outcomes. Continuous observation at 3, 5, 7, and 10 d after inoculation showed that N. benthamiana inoculated with the WT strain exhibited obvious growth promotion, with significantly higher biomass than the CK (Supplementary Fig. S4). In contrast, N. benthamiana inoculated with Flfbp1OE displayed progressive wilting and eventual death (Fig. 2ad), and its biomass was significantly lower than that of the WT-treated group (Fig. 2e). Plants inoculated with ΔFlfbp1 showed remarkably enhanced growth promotion (Fig. 2ad) and significantly increased biomass (Fig. 2e). Inoculation with the complemented strain ΔFlfbp1-C restored growth promotion to a level similar to that of the WT group, with no significant difference in biomass (Fig. 2ae). Vacuolar processing enzymes (VPEs) are key regulators of plant programmed cell death (PCD). VPE activity assays revealed that VPE activity in N. benthamiana inoculated with Flfbp1OE was 1.2-fold higher than that in the WT group (p < 0.01). VPE activity in the ΔFlfbp1-treated group decreased significantly to 87.7% of the WT level (p < 0.01), whereas no significant difference was observed between the ΔFlfbp1-C complemented strain and the WT group (Supplementary Fig. S2e).

      Figure 2. 

      Flfbp1 mediates the transition from symbiosis to pathogenicity in F. lateritium during interaction with N. benthamiana. (a)–(d) Interaction phenotypes (left) and laser confocal images of root colonization (right) of N. benthamiana inoculated with WT, ΔFlfbp1, Flfbp1OE strain, or ΔFlfbp1-C strain at (a) 3, (b) 5, (c) 7, and (d) 10 d post-inoculation (dpi). Fungal hyphae were visualized by fluorescein-conjugated wheat germ agglutinin (WGA-488, green fluorescence), and plant cell walls were stained with propidium iodide (PI, red fluorescence). Scale bar = 100 μm. The scale in the figure represents 1 cm. (e) Biomass of N. benthamiana following inoculation with different strains at 3, 5, 7, and 10 dpi. Values are means ± SD (n = 15 biological replicates). Different lowercase letters indicate significant differences at p < 0.01. (f) Relative colonization rate of each strain in N. benthamiana roots, determined as the relative DNA ratio of fungal actinto plant EF-1α. Values are means ± SD (n = 3). Different lowercase letters indicate significant differences at p < 0.01.

      The fungal colonization assay revealed that disruption of the Flfbp1 gene significantly increased the colonization amount of the strain in plants, and the colonization amount further increased significantly with the extension of the interaction time. On the contrary, the colonization rate of the Flfbp1 overexpression strain decreased significantly. The colonization level of the ΔFlfbp1-C complemented strain was comparable to that of the WT strain (Fig. 2f). In addition, regarding the fungal colonization pattern, root cross-sections are also crucial for examining the colonization intensity and sites of the fungus. Observations of tobacco root cross-sections inoculated with the WT, ΔFlfbp1, Flfbp1OE, and ΔFlfbp1-C strains revealed no significant differences in root tissue structure among the groups (Supplementary Fig. S5). Fungal hyphae were consistently distributed in the cortical cells, indicating that the colonization sites were not altered by genotype. Significant differences were observed in fungal colonization intensity; roots inoculated with the WT, ΔFlfbp1, and ΔFlfbp1-C strains showed strong colonization signals, while the signal intensity was significantly reduced in roots inoculated with the Flfbp1OE strain (Supplementary Fig. S5). These results indicate that plant cell necrosis induced by Flfbp1OE was not caused by excessive fungal proliferation, thus excluding a colonization-dependent pathogenic pattern. Combining the above experimental results, our findings suggest that Flfbp1 acts as a key regulator that controls the transition of the interaction between F. lateritium Fl617 and N. benthamiana from a symbiotic to a pathogenic lifestyle.

      To further verify the conserved function of Flfbp1 in mediating the switch between symbiotic and pathogenic states of F. lateritium Fl617 across diverse hosts, we performed cross-host inoculation assays using the model plant Arabidopsis thaliana and the Solanaceous crop Solanum lycopersicum. Plants were co-cultured with fungal strains for 10 d. The results showed that Arabidopsis thaliana inoculated with the WT strain exhibited significant growth promotion, with 4.82-fold higher biomass than the uninoculated control (CK) (p < 0.01). Arabidopsis thaliana inoculated with the ΔFlfbp1 strain showed even stronger growth promotion, with 1.89-fold higher biomass than the WT-treated group (p < 0.01). In contrast, Arabidopsis inoculated with the Flfbp1OE strain displayed a lethal phenotype, similar to that observed in tobacco (Supplementary Fig. S6a, S6b). In the tomato inoculation system, both WT and ΔFlfbp1 strains significantly promoted host growth and biomass accumulation, and the growth-promoting effect of ΔFlfbp1 was significantly stronger than that of the WT, which was highly consistent with the phenotypes observed in Arabidopsis thaliana and N. benthamiana. However, inoculation with the Flfbp1OE strain only caused severe growth inhibition in tomato plants, without a lethal phenotype (Supplementary Fig. S6a, S6c). Together, these cross-host validation results demonstrate that Flfbp1 acts as a core molecular switch controlling the symbiosis–pathogenicity transition of F. lateritium Fl617, and its regulatory function is conserved across plant species. In contrast, the intensity of Flfbp1-mediated pathogenicity is modulated by the host genetic background.

    • To explore the molecular mechanism by which the Flfbp1OE strain induces tobacco death, transcriptome analysis of fungus–plant interactions revealed that overexpression of Flfbp1 regulated the differential expression of 155 genes in F. lateritium. Among them, 130 were upregulated, and 25 were downregulated (Supplementary Fig. S7a, S7b). GO and KEGG functional enrichment analyses of these differentially expressed genes showed that they mainly affected carbohydrate metabolic processes (Supplementary Fig. S7c, S7d). Further analysis of the differentially expressed genes (DEGs) involved in carbohydrate metabolic processes revealed 22 DEGs related to cell wall-degrading enzymes (CWDEs), among which 21 were significantly up-regulated, and 1 was significantly down-regulated (Supplementary Fig. S7e; Table 1). This indicates that Flfbp1 positively regulates the expression of CWDEs in F. lateritium Fl617. During plant infection, pathogenic fungi typically activate CWDEs to decompose the plant cell wall—this helps them break through plant defenses, invade tissues, proliferate extensively in plant tissues, and plunder nutrients, ultimately leading to plant death[49]. Meanwhile, plants activate immune responses to restrict the spread of pathogens[50]. We further examined the cell wall integrity of tobacco roots upon 10 d of co-cultivation with WT, ΔFlfbp1 knockout mutant, and Flfbp1OE strains of F. lateritium Fl617, using Calcofluor White staining. Host root cell walls displayed continuous fluorescence and intact structure in both the WT and ΔFlfbp1 treatments, with fungal colonization predominantly occurring on the root surface. By contrast, inoculation with the Flfbp1OE strain only marginally compromised host root cell wall integrity, with slight discontinuities in fluorescence detected in localized regions (Supplementary Fig. S8a). Quantitative analysis showed that there was no significant difference in fluorescence intensity between the WT and ΔFlfbp1 strains, whereas the intensity in the Flfbp1OE strain was decreased by approximately 2.8% compared with the WT (Supplementary Fig. S8b). Together, these results demonstrate that Flfbp1 exerts only a modest regulatory role in the cell wall-degrading capacity of F. lateritium Fl617 during plant infection. Furthermore, further analysis of the fungus–plant interaction transcriptome data showed that after the Flfbp1OE strain interacted with tobacco, the transcriptional levels of tobacco genes related to the PTI/ETI pathways (WRKY, LRR, PR, RPS, RPM1, SAG101, NGR1) and the salicylic acid (SA), jasmonic acid (JA), and ethylene (ET) signaling pathways (NPR1, LOX, PAL, AOS, AOC, ERF, DREB) were significantly down-regulated (Supplementary Fig. S9; Table 2). These results indicate that Flfbp1 negatively regulates plant immunity.

      Table 1.  Analysis of differential genes in the cell wall-degrading enzymes of F. lateritium enriched in the transcriptome.

      Fusarium lateritiun genes Log2FC (OE/FL) GO, EggNOG, and/or NR description Significant Regulate
      Cell wall-degrading enzymes
      EVM0001149 4.1263422058244 Unsaturated rhamnogalacturonyl hydrolase YesRYesR (Glycosyl Hydrolase Family 88) Yes Up
      EVM0001588 6.7535321921235 Rhamnogalacturonate lyase C (Polysaccharide lyase family 4) Yes Up
      EVM0001845 3.395073389 Beta-galactosidase (Glycosyl Hydrolase Family 2) Yes Up
      EVM0002028 3.7625450042324 Beta-galactosidase A (Glycosyl Hydrolase Family 35) Yes Up
      EVM0003233 4.3377427051624 Glucoamylase (Glycosyl Hydrolase Family 15) Yes Up
      EVM0003341 5.9239346913422 Endoglucanase gh5-1 (Glycosyl Hydrolase Family 5) Yes Up
      EVM0004535 4.5627028709028 Glucoamylase (Glycosyl Hydrolase Family 15) Yes Up
      EVM0005962 4.8830260775208 Pectate lyase A (Polysaccharide lyase family) Yes Up
      EVM0006725 4.8568634249429 Endopolygalacturonase NFIA (Glycosyl Hydrolase Family 28) Yes Up
      EVM0007219 5.8273546342649 Endo-1,4-beta-xylanase D (Glycosyl Hydrolase Family 10) Yes Up
      EVM0009068 3.4013339063572 Pectate lyase A (Polysaccharide lyase family) Yes Up
      EVM0009179 4.0518241399204 Pectate lyase plyB (Polysaccharide lyase family) Yes Up
      EVM0009658 4.8332427745881 Endopolygalacturonase 1 (Glycosyl Hydrolase Family 28) Yes Up
      EVM0010041 -11.73729611 Sterol 3-beta-glucosyltransferase UGT80A2 (Glycosyl Hydrolase Family 28) Yes Down
      EVM0011293 4.4366458043154 Exopolygalacturonase X (Glycosyl Hydrolase Family 28) Yes Up
      EVM0011394 3.9652487427431 Alpha-amylase A (Glycosyl Hydrolase Family 70) Yes Up
      EVM0011522 3.7271762129361 Glucan endo-1,3-beta-glucosidase A1 (Glycosyl Hydrolase Family 16) Yes Up
      EVM0011841 6.5107326693398 Endoglucanase type B (Glycosyl Hydrolase Family 6) Yes Up
      EVM0012220 4.499780736 Exopolygalacturonase B (Glycosyl Hydrolase Family 28) Yes Up
      EVM0014279 6.3956127005519 Exopolygalacturonase B (Glycosyl Hydrolase Family 28) Yes Up
      EVM0014424 3.9059208223736 Mannan endo-1,4-beta-mannosidase C (Glycosyl Hydrolase Family 2) Yes Up
      EVM0014754 3.6856051164499 Acetylxylan esterase A (Carbohydrate Esterase Family) Yes Up

      Table 2.  Analysis of differential genes in the immune response pathway of N. benthamiana enriched in the transcriptome.

      Nicotiana benthamiana genes Log2FC (OE/FL) GO, EggNOG, and/or NR description Significant Regulate
      WRKY transcription factor
      NbL01g07860 −1.241673647 WRKY transcription factor 41 Yes Down
      NbL01g15690 −3.593812762 WRKY transcription factor 12 Yes Down
      NbL01g18710 1.105546491 WRKY transcription factor 68 Yes Up
      NbL02g09960 −1.003699269 WRKY transcription factor 6-like Yes Down
      NbL02g18470 1.741402689 WRKY transcription factor 71 Yes Up
      NbL02g23870 −1.312867524 WRKY transcription factor 3 Yes Down
      NbL03g04040 1.912414484 WRKY transcription factor 71 Yes Up
      NbL05g11960 1.524342816 WRKY transcription factor 71 Yes Up
      NbL07g16620 −2.303755182 WRKY transcription factor 40 Yes Down
      NbL08g18360 −1.161012818 WRKY transcription factor 11 Yes Down
      NbL09g01620 −1.640251489 WRKY transcription factor 40 Yes Down
      NbL09g06220 1.951379137 WRKY transcription factor 72 Yes Up
      NbL10g07700 −2.863361032 WRKY transcription factor 31 Yes Down
      NbL10g19990 1.52314681 WRKY transcription factor 22-like Yes Up
      NbL10g23550 −2.738797063 WRKY transcription factor 41 Yes Down
      NbL11g17990 −3.360368884 WRKY transcription factor 41 Yes Down
      NbL12g04240 −1.55993108 WRKY transcription factor 6-like Yes Down
      NbL12g17910 −3.918944509 WRKY transcription factor 31 Yes Down
      NbL13g21070 −2.266601595 WRKY transcription factor 53 Yes Down
      NbL14g00310 −3.921095011 WRKY transcription factor 53 Yes Down
      NbL14g02780 −1.182195457 WRKY transcription factor 11 Yes Down
      NbL14g08830 −1.854152885 WRKY transcription factor 70 Yes Down
      NbL15g14920 2.441100724 WRKY transcription factor 50 Yes Up
      NbL15g22610 1.535103613 WRKY transcription factor 71 Yes Up
      NbL16g10110 1.551883465 WRKY transcription factor 22-like Yes Up
      NbL17g05520 1.80229719 WRKY transcription factor 50 Yes Up
      NbL17g27990 −2.801993452 WRKY transcription factor 41 Yes Down
      NbL19g03290 2.043828788 WRKY transcription factor 71 Yes Up
      NbL19g12080 1.288989916 WRKY transcription factor 31 Yes Up
      NbL19g15140 −1.751825562 WRKY transcription factor 70 Yes Down
      Leucine-rich repeat receptor-like serine
      NbL02g07080 −1.037744779 Leucine-rich repeat receptor-like serine/threonine-protein kinase BAM1 Yes Down
      NbL03g17050 −1.659993754 LRR receptor-like serine/threonine-protein kinase Yes Down
      NbL09g04840 −1.971232488 Leucine-rich repeat receptor-like serine/threonine/tyrosine-protein kinase SOBIR1 Yes Down
      NbL11g04700 −1.884686396 Leucine-rich repeat receptor-like serine/threonine/tyrosine-protein kinase SOBIR1 Yes Down
      NbL13g00980 1.004092561 Leucine-rich repeat receptor-like serine/threonine-protein kinase Yes Up
      NbL13g08970 −2.012289508 LRR receptor-like serine/threonine-protein kinase Yes Down
      NbL14g11540 −1.442825297 Leucine-rich repeat receptor-like serine/threonine-protein kinase Yes Down
      NbL15g20260 −1.179377956 Leucine-rich repeat receptor-like serine/threonine-protein kinase Yes Down
      NbL16g14160 −1.520479646 Leucine-rich repeat receptor-like serine/threonine-protein kinase BAM1 Yes Down
      NbL17g04410 −1.02197164 Leucine-rich repeat receptor-like protein kinase Yes Down
      NbL19g02860 −1.051309293 Leucine-rich repeat receptor-like serine/threonine-protein kinase BAM1 Yes Down
      NbL04g12340 −1.814698751 Receptor-like protein kinase HSL1 Yes Down
      Pathogenesis-related (PR) proteins
      NbL03g07430 −1.429807222 Nematode resistance protein-like HSPRO2 Yes Down
      NbL16g23530 −1.885653116 Glucan endo-1,3-beta-glucosidase, acidic isoform GI9-like Yes Down
      NbL16g23540 −3.618771859 Glucan endo-1,3-beta-glucosidase, acidic isoform GI9-like Yes Down
      NbL07g06460 −2.069325285 Uncharacterized LOC104245359 Yes Down
      NbL16g23610 1.566553502 Uncharacterized LOC107801208 Yes Up
      NbL17g14890 −3.052558899 Uncharacterized LOC104245359 Yes Down
      NbL03g04450 −4.768478445 Transcription factor TCP4-like Yes Down
      NbL05g09570 −3.201674726 Transcription factor TCP4-like Yes Down
      NbL09g02150 −4.588823659 Transcription factor TCP4-like Yes Down
      NbL15g21350 −3.618126068 Transcription factor TCP4-like Yes Down
      Effector-Triggered Immunity
      NbL00g00160 3.616884706 F-box protein At4g00755-like Yes Up
      NbL03g23000 −1.203580403 30S ribosomal protein S17 Yes Down
      NbL08g10330 −1.360337605 30S ribosomal protein S13 Yes Down
      NbL13g19700 1.345607674 Uncharacterized LOC107801214 Yes Up
      NbL13g20660 −1.077533904 30S ribosomal protein S17 Yes Down
      NbL13g25880 1.322339361 Uncharacterized LOC105111765 Yes Up
      NbL16g15970 −1.01109948 30S ribosomal protein S1, chloroplastic-like Yes Down
      NbL18g08740 −1.493428396 30S ribosomal protein S13 Yes Down
      NbL02g12270 −1.625857953 Uncharacterized LOC109215327 Yes Down
      NbL02g26120 −1.520316021 Uncharacterized LOC109216575 Yes Down
      NbL05g09740 −1.424188808 30S ribosomal protein S20 Yes Down
      NbL10g03010 −1.094115168 Disease resistance protein RPS5-like Yes Down
      NbL10g06340 1.183761039 40S ribosomal protein S27-2-like Yes Up
      NbL15g21250 −1.319829734 30S ribosomal protein S20 Yes Down
      NbL05g20820 −4.561840593 Disease resistance protein RPM1-like Yes Down
      NbL02g11930 −2.326840928 Senescence-associated carboxylesterase 101-like Yes Down
      NbL00g04260 −4.60786075 Disease resistance protein Yes Down
      SA/JA
      NbL10g04670 −1.079625198 Phenylalanine ammonia-lyase-like Yes Down
      NbL12g19650 −1.113061669 Phenylalanine ammonia-lyase Yes Down
      NbL18g01320 −1.440403027 Negative regulator of resistance-like Yes Down
      NbL17g18350 −2.193881775 Protein LOL1 Yes Down
      NbL07g15240 2.29744213 9-divinyl ether synthase-like Yes Up
      NbL07g15260 −2.369372689 9-divinyl ether synthase-like Yes Down
      NbL17g08900 −1.321601646 Allene oxide synthase Yes Down
      NbL02g15000 −2.995048075 Allene oxide cyclase, chloroplastic-like Yes Down
      NbL19g01710 −4.343728998 Allene oxide cyclase 4 Yes Down
      NbL01g10560 1.876627957 Linoleate 9s-lipoxygenase Yes Up
      NbL03g24390 −2.349266144 Linoleate 13S-lipoxygenase 3-1 Yes Down
      NbL08g01350 −2.350649607 Linoleate 13S-lipoxygenase 2-1 Yes Down
      NbL09g01460 −1.660452484 Haloalkane dehalogenase-like Yes Down
      NbL13g19150 −2.74590776 Linoleate 13S-lipoxygenase 3-1 Yes Down
      NbL16g03630 −1.315186628 Haloalkane dehalogenase-like Yes Down
      NbL16g19580 −2.348098997 Linoleate 9S-lipoxygenase 6 Yes Down
      NbL16g25540 −1.222038612 Epoxide hydrolase 3 Yes Down
      NbL03g23910 −1.955594438 Indeterminate-domain 7-like Yes Down
      NbL05g04140 −1.577936143 Zinc finger protein JACKDAW-like Yes Down
      NbL05g12780 −1.359270237 TIFY 10A-like Yes Down
      NbL07g08970 −1.700895662 Indeterminate-domain 5 Yes Down
      NbL08g15780 −1.646076282 Zinc finger protein JACKDAW-like Yes Down
      NbL09g10490 −1.135563114 Indeterminate-domain 7-like Yes Down
      NbL09g15900 −1.390531826 Indeterminate-domain 9-like Yes Down
      NbL09g22330 1.599657779 Uncharacterized LOC104223950 Yes Up
      NbL10g03940 −2.314481352 TIFY 10A-like Yes Down
      NbL11g03270 −1.648124129 Indeterminate-domain 9-like Yes Down
      NbL13g19260 −1.439641761 TIFY 10A-like Yes Down
      NbL13g19660 −1.552337422 Indeterminate-domain 7-like Yes Down
      NbL17g05190 −1.724278896 Indeterminate-domain 7-like Yes Down
      NbL17g08700 −1.297468704 Indeterminate-domain 9-like Yes Down
      NbL17g12750 −1.896400481 Indeterminate-domain 5 Yes Down
      NbL16g09660 −5.012615586 Transcription factor MYC2-like Yes Down
      Ethylene
      NbL01g02770 −5.903956323 Ethylene-responsive transcription factor ERF109-like Yes Down
      NbL01g04330 −1.49926367 24-methylenesterol C-methyltransferase 2 Yes Down
      NbL01g07430 2.086831009 1-aminocyclopropane-1-carboxylate synthase Yes Up
      NbL01g13990 −1.608800619 Reversion-to-ethylene sensitivity1-like Yes Down
      NbL02g15000 −2.995048075 Allene oxide cyclase, chloroplastic-like Yes Down
      NbL02g20260 −1.585372911 Ethylene-responsive transcription factor 12-like Yes Down
      NbL03g03800 −1.138883212 Ethylene-responsive transcription factor 4-like Yes Down
      NbL03g06570 1.179196435 Dehydration-responsive element-binding protein 2C-like Yes Up
      NbL03g10380 −1.06543775 Ethylene-responsive transcription factor 5-like Yes Down
      NbL03g11340 −4.610522757 Dehydration-responsive element-binding protein 1A-like9 Yes Down
      NbL03g21840 −1.010144763 Serine/threonine-protein kinase EDR1-like Yes Down
      NbL04g09050 1.149021282 Ethylene-responsive transcription factor ABR1-like Yes Up
      NbL04g09950 −1.184170911 Ethylene-responsive transcription factor RAP2-4-like Yes Down
      NbL05g17920 −1.838124295 Ethylene-responsive transcription factor 9-like Yes Down
      NbL05g20110 −1.104123236 AP2/ERF and B3 domain-containing transcription repressor RAV2-like Yes Down
      NbL06g08080 −1.986073134 Ethylene-responsive transcription factor 4-like Yes Down
      NbL07g06140 −2.76452384 AP2-like ethylene-responsive transcription factor AIL5 Yes Down
      NbL07g10510 −5.526704793 Dehydration-responsive element-binding protein 1A-like Yes Down
      NbL08g01300 1.257845004 Ethylene insensitive 3-like Yes Up
      NbL08g03410 1.005329917 Ethylene-responsive transcription factor RAP2-7-like Yes Up
      NbL08g07520 −1.891782173 Ethylene-responsive transcription factor 3-like Yes Down
      NbL08g09830 −1.160870679 2-methylene-furan-3-one reductase Yes Down
      NbL08g21280 2.218650596 Ethylene-responsive transcription factor ERF113-like Yes Up
      NbL09g20840 −1.553979428 Bifunctional protein FolD 2-like Yes Down
      NbL10g03300 −2.159895802 1-aminocyclopropane-1-carboxylate oxidase 1 Yes Down
      NbL10g05370 −7.38227996 Nicotiana tabacum ethylene-responsive transcription factor ERF027-like Yes Down
      NbL10g06930 −5.026480543 Ethylene-responsive transcription factor ERF017-like Yes Down
      NbL10g11290 −1.074701007 Ethylene-responsive transcription factor 5-like Yes Down
      NbL10g14470 −1.664184862 Ethylene-responsive transcription factor 5-like Yes Down
      NbL10g19050 −1.863484897 Ethylene-responsive transcription factor 4-like Yes Down
      NbL10g21330 −5.391660122 Ethylene-responsive transcription factor ERF027-like Yes Down
      NbL11g19050 −1.208848489 Ethylene-responsive transcription factor 3-like Yes Down
      NbL11g21170 −7.33308025 Proteinase inhibitor I-B-like Yes Down
      NbL11g21240 −7.555580287 Proteinase inhibitor I-B-like Yes Down
      NbL12g20490 −1.178362986 Ethylene-responsive transcription factor RAP2-10-like Yes Down
      NbL12g22380 −4.49685346 Ethylene-responsive transcription factor ERF106-like Yes Down
      NbL13g10010 −1.179060632 Ethylene-responsive transcription factor 5 Yes Down
      NbL13g11170 −4.98293508 Dehydration-responsive element-binding protein 1D-like Yes Down
      NbL13g11180 −5.543553262 Dehydration-responsive element-binding protein 1D-like Yes Down
      NbL14g02300 2.677049523 Uncharacterized LOC109233752 Yes Up
      NbL14g07490 −4.03320461 Ethylene-responsive transcription factor ERF018-like Yes Down
      NbL14g20670 −1.508101501 Ethylene-responsive transcription factor RAP2-4-like Yes Down
      NbL14g21920 −1.534851742 AP2/ERF and B3 domain-containing transcription factor RAV1 Yes Down
      NbL15g00150 −1.338822043 Ethylene-responsive transcription factor 5-like Yes Down
      NbL15g00610 −3.197292607 Ethylene-responsive transcription factor ERF109-like Yes Down
      NbL15g12550 1.353059627 Dehydration-responsive element-binding protein 2A-like Yes Up
      NbL15g23980 −1.2678142 Ethylene-responsive transcription factor 4 Yes Down
      NbL16g02670 −6.459788949 Ethylene-responsive transcription factor ERF017 Yes Down
      NbL16g03200 1.099968315 Ethylene-responsive transcription factor 3-like Yes Up
      NbL16g03230 −1.50826366 1-aminocyclopropane-1-carboxylate oxidase 1 Yes Down
      NbL16g26030 −1.257999838 Ethylene-responsive transcription factor-like protein Yes Down
      NbL17g02970 1.392879379 Dehydration-responsive element-binding protein 2A-like Yes Up
      NbL17g04280 −3.585379082 Dehydration-responsive element-binding protein 3-like Yes Down
      NbL17g11150 −6.109000485 Ethylene-responsive transcription factor ERF026-like Yes Down
      NbL17g25900 −3.016530627 Ethylene-responsive transcription factor ERF027-like Yes Down
      NbL18g01290 1.014692846 Ethylene-responsive transcription factor ERF118-like Yes Up
      NbL18g09140 −1.069612422 2-methylene-furan-3-one reductase-like Yes Down
      NbL19g01710 −4.343728998 Allene oxide cyclase 4 Yes Down
      NbL19g04830 1.765903636 Ethylene-responsive transcription factor ERF091 Yes Up
      NbL19g05200 −2.916232465 Ethylene-responsive transcription factor 12-like Yes Down
      NbL19g15660 2.249205054 Ndehydration-responsive element-binding protein 2B-like Yes Up

      Based on the above results, we found a contradiction between Flfbp1 positively regulating CWDEs expression and the observation that overexpression of Flfbp1 leads to reduced colonization rate of endophytic F. lateritium in tobacco, as well as the significant inhibition of plant immune defense reactions by overexpressed Flfbp1. We speculated that the up-regulation of CWDEs caused by overexpressed Flfbp1 may have limited direct contribution to tobacco death, and there may be other factors mediating plant necrosis. Existing research on pathogenic Fusarium species, such as F. oxysporum and F. graminearum, all require a progressive pathogenic mechanism of 'CWDEs establishing colonization foundation-toxins inducing physiological disorders-effector proteins blocking immunity'[51,52]. Since Flfbp1 contributes little to plant death by regulating CWDEs, there must be other causes mediating plant death. Therefore, we focused on the transcription of secondary metabolism-related genes and found that overexpression of Flfbp1 significantly up-regulates the expression of secondary metabolite biosynthesis genes in F. lateritium. Nine secondary metabolite biosynthesis-related genes were differentially expressed, with eight significantly up-regulated and one down-regulated. These genes include not only core functional enzyme genes such as PKS and P450 monooxygenase, but also modifier enzyme genes involved in toxin synthesis (e.g., Pats, pytC, Lac2) (Supplementary Fig. S7f; Table 3). In addition, studies have confirmed that homologs of Flfbp1 have the function of regulating fungal secondary metabolism. For example, the deletion of BcFrp1 in Botrytis cinerea inhibits the biosynthesis of ABA[53]. Therefore, we hypothesize that Flfbp1 may also affect plant growth by regulating the secondary metabolites of the endophytic F. lateritium.

      Table 3.  Analysis of differential genes in the biosynthesis secondary metabolites of F. lateritium enriched in the transcriptome.

      Fusarium lateritium genes Log2FC (OE/FL) GO, EggNOG, and/or NR description Significant Regulate
      Genes for biosynthesis of secondary metabolites
      EVM0000450 4.3614900315927 Cytochrome P450 monooxygenase ATEG Yes Up
      EVM0002278 4.1569026383141 Laccase-2 yes up
      EVM0005169 3.4262286617577 Fusaridione A synthetase fsdS Yes Up
      EVM0005566 6.9548778621629 Patulin synthase Yes Up
      EVM0006747 4.3878350187084 Cytochrome P450 monooxygenase PC-21 Yes Up
      EVM0011686 6.3126194074231 Sterigmatocystin biosynthesis P450 monooxygenase stcS Yes Up
      EVM0004549 -5.4741035057982 Cytochrome P450 monooxygenase hepE Yes Down
      EVM0001225 3.51766673868276 Methyltransferase pytC Yes Up
      EVM0011207 4.75191068032791 ABC transporter G family member 1 Yes Up
    • Based on the above speculation, Flfbp1 may mediate the shift in interaction patterns with plants by regulating the changes in secondary metabolites of the endophytic fungus F. lateritium Fl617. To test this hypothesis, we first analyzed the effects of metabolites from different strains on the growth of N. benthamiana. The results showed that, at the same concentration, metabolites from the WT strain significantly promoted tobacco growth, with tobacco biomass being 1.43-fold that of the CK (p < 0.01) (Supplementary Fig. S10). The growth-promoting activity was further enhanced in the Flfbp1 knockout mutant (ΔFlfbp1), whose metabolites increased tobacco biomass to 4.08-fold relative to the WT strain (p < 0.01). Metabolites from the Flfbp1 complemented strain (ΔFlfbp1-C) exhibited a growth-promoting effect similar to that of the WT strain, with no statistically significant difference in tobacco biomass. In contrast, metabolites from the Flfbp1OE strain caused lethal effects on tobacco seedlings (Fig. 3a, b). To exclude potential interference from osmotic stress caused by metabolite addition, a NaCl control with an equivalent concentration was included, which showed no obvious effects on tobacco growth (Fig. 3a, b). Together, these results indicate that Flfbp1 may affect the interaction mode between the fungus and its host by modulating fungal metabolite production.

      Figure 3. 

      Flfbp1 controls β-Carboline biosynthesis in F. lateritium and modulates the growth of N. benthamiana. (a) Growth phenotypes of N. benthamiana following co-culture with WT, Flfbp1OE, ΔFlfbp1, and ΔFlfbp1-C strains, as well as a 0.05% NaCl control. The scale in the figure represents 1 cm. (b) Biomass quantification of N. benthamiana under the indicated treatments. Data are mean ± SD (n = 15 biological replicates). 'Death' denotes plant death; n.s. not significant vs WT. (c) β-Carboline levels in the indicated fungal strains under pure culture. Data are mean ± SD (n = 3). (d) Effects of exogenous β-Carboline (800 μM in 0.05% ethanol-containing medium) on N. benthamiana growth. Medium supplemented with 0.05% ethanol served as control (CK). Scale bar = 1 cm. (e) Biomass quantification of N. benthamiana treated with exogenous β-carboline. Data are mean ± SD (n = 15 biological replicates). (f) HPLC quantification of β-Carbolinein the indicated co-culture systems and N. benthamiana alone (Nb). β-Carboline contents in WT, Flfbp1OE, ΔFlfbp1, and ΔFlfbp1-C groups were 0.418, 2.74, 0.149, and 0.409 mg/g, respectively, whereas no β-Carboline was detected in N. benthamiana alone. Bars represent the mean of three biological replicates. (g) Exogenous β-Carboline markedly suppresses the plant growth-promoting effect of the WT strain during symbiosis with N. benthamiana. (h) Statistics of N.benthamiana biomass corresponding to Fig. (g). Data are mean ± SD (n = 15 biological replicates). Scale bar = 1 cm. * and *** indicate significant differences relative to WT (p < 0.01).

      To pinpoint the key secondary metabolites orchestrating the Flfbp1-mediated transition of endophytic F. lateritium from symbiosis to pathogenesis, we conducted comparative profiling of the secondary metabolomes in WT and Flfbp1OE strains. Our analyses revealed that Flfbp1 overexpression not only significantly augmented the diversity of secondary metabolite classes but also markedly upregulated the abundance of specific compounds, with a panel of differential metabolites identified (Supplementary Fig. S11a, S11b). It includes differential metabolites such as 4-nitrocatechol, vanillin, and β-Carboline. Existing studies have confirmed that these three substances—4-nitrocatechol, vanillin, and β-Carboline—all possess plant growth-inhibiting activity[54,55,23]. However, among the differential metabolites in this study, β-Carboline exhibits particularly significant content variation. Based on this, β-Carboline was isolated and purified, and its structure was confirmed using high-resolution mass spectrometry (HRMS) and nuclear magnetic resonance (NMR): HRMS (ESI) m / z: [M + H], calcd, 169.07625; found, 169.07684 (Supplementary Fig. S11c);1H NMR (500 MHz, CDCl3), δ × 10−6, (Supplementary Fig. S11d): 7.27–7.30 (q, 1H, phenyl−H, J = 5.0 Hz), 7.54 (s, 1H, phenyl−H), 7.55 (s, 1H, phenyl−H), 7.97 (d, 1H, phenyl−H, J = 5.0 Hz), 8.13 (d, 1H, phenyl−H, J = 10.0 Hz), 8.44 (d, 1H, phenyl−H, J = 5.0 Hz), 8.97 (s, 1H, phenyl−H), 9.81 (s, 1H, −NH); 13 C NMR (CDCl3, 126 MHz), δ × 10−6, (Supplementary Fig. S11e): 111.79, 114.91, 120.05, 121.21, 121.79, 128.68, 129.22, 133.13, 136.04, 138.02, 140.84. The distinct spectral features and mass data unequivocally confirmed the identity of β-Carboline. Given prior reports implicating β-Carboline in plant lethality, we postulated that this compound might mediate processes contributing to plant mortality. Therefore, the content differences and biological functions of β-Carboline were further verified separately. Quantitative analysis revealed that the β-Carboline content in the WT strain was approximately 0.325 mg/g. In the Flfbp1OE strain, β-Carboline was markedly accumulated to 3.029 mg/g, which was 9.32-fold higher than that in the WT strain (Fig. 3c). In contrast, the β-Carboline level in the ΔFlfbp1 mutant was significantly reduced to approximately 0.213 mg/g, accounting for only 65.4% of the WT strain (p < 0.01) (Fig. 3c). The β-Carboline content in the ΔFlfbp1-C complemented strain was about 0.331 mg/g, showing no significant difference from the WT strain (Fig. 3c). Exogenous application of 0.8 mM β-Carboline demonstrated that β-Carboline significantly inhibited tobacco growth and even caused seedling death (Fig. 3d, e), with the inhibitory effect remarkably enhanced in a concentration-dependent manner (Supplementary Fig. S12).

      To identify the biosynthetic source of β-Carboline and rule out the possibility that it is produced by the host plant during fungal–plant interaction, we extracted total secondary metabolites from the interaction systems of tobacco with WT, ΔFlfbp1, Flfbp1OE, and ΔFlfbp1-C strains, and determined β-Carboline contents by high-performance liquid chromatography (HPLC). The results showed that the β-Carboline level in tobacco inoculated with the WT strain was approximately 0.418 mg/g (Fig. 3f). β-Carboline was significantly enriched in the Flfbp1OE interaction group, reaching 2.74 mg/g, which was 6.6-fold higher than that in the interaction group of the WT strain and N. benthamiana (Fig. 3f). In contrast, the β-Carboline level in the ΔFlfbp1 interaction group was markedly reduced to approximately 0.149 mg/g, accounting for only 35.65% of that in the interaction group of the WT strain and N. benthamiana (p < 0.01) (Fig. 3f). The β-Carboline content in the ΔFlfbp1-C interaction group was about 0.409 mg/g, showing no significant difference from the WT interaction group (Fig. 3f). Notably, β-Carboline was undetectable in tobacco grown alone (Fig. 3f). To further verify the functional significance of β-Carboline in mediating the fungus–plant symbiotic relationship, exogenous β-Carboline was added to the interaction system of WT and tobacco, adjusting its final concentration to 0.69 mM (this concentration is consistent with that of β-Carboline produced in the interaction system of Flfbp1 overexpression strain and tobacco). Phenotypic analysis after 10 d of co-cultivation showed that, at this concentration, the growth-promoting effect of the WT strain on tobacco was significantly inhibited, and the biomass of tobacco decreased significantly (Fig. 3g, h). This indicates that β-Carboline is a key substance through which Flfbp1 regulates the symbiosis between endophytic F. lateritium and N. benthamiana.

    • Bioinformatics analysis predicted Flfbp1 as a putative ubiquitin ligase (Fig. 1), and its functions are presumably mediated by protein–protein interactions. To elucidate how Flfbp1 regulates β-Carboline biosynthesis, we performed a Yeast two-hybrid screen and identified Flhsp1 as an interacting partner of Flfbp1 (Fig. 4a). This interaction was subsequently validated using bimolecular fluorescence complementation (BiFC) and co-immunoprecipitation (Co-IP) assays. In the BiFC assay, reconstituted yellow fluorescent signals were detected at the plasma membrane of N. benthamiana leaf cells co-expressing Flfbp1-nYFP and Flhsp1-cYFP, indicating a potential interaction (Fig. 4b). Consistently, Co-IP analysis using N. benthamiana leaves co-expressing Flfbp1-mCherry and Flhsp1-GFP further confirmed their physical interaction (Fig. 4c), consolidating this association.

      Figure 4. 

      Flfbp1 interacts with Flhsp1 and regulates its ubiquitination level. (a) Yeast two-hybrid (Y2H) assay verifying the physical interaction between Flfbp1 and Flhsp1. Yeast co-transformed with BD-Flfbp1 and AD-Flhsp1 grew well and turned blue on SD/-Trp/-Leu/-His/-Ade/X-α-Gal medium. Positive control (PC) showed normal growth, while negative control (NC) showed no growth. (b) Bimolecular fluorescence complementation (BiFC) assay confirming the interaction between Flfbp1 and Flhsp1 in N. benthamiana cells. Co-expression of Flfbp1-nYFP and Flhsp1-cYFP reconstituted yellow fluorescent signals, whereas the empty vector control (pCV-nYFP + pCV-cYFP) showed no fluorescence. (c) Co-immunoprecipitation (Co-IP) assay validating the interaction between Flfbp1 and Flhsp1. Flfbp1-mCherry was co-precipitated with Flhsp1-GFP in N. benthamiana, whereas INF1-mCherry used as a negative control showed no interaction with Flhsp1-GFP. (d) Prediction of ubiquitination sites in Flhsp1 using the GPS-Uber tool. (e) Flfbp1 regulates the ubiquitination level of Flhsp1. In N. benthamiana, Flfbp1 significantly reduced the ubiquitination level of Flhsp1 (relative level = 0.51), whereas INF1 had no such effect. The ubiquitination level of the Flhsp1 ubiquitination-site mutant (K→R) was not affected by Flfbp1 (relative level = 0.92). Protein bands were stained with Ponceau S as a loading control.

      As previously noted, Flfbp1 shares high homology with E3 ubiquitin ligases. To dissect the molecular basis of how Flfbp1 acts on Flhsp1, we analyzed the primary structure of Flhsp1 and found that it belongs to the heat shock protein family, containing a ubiquitination site at the 8th amino acid residue (lysine, K) (Fig. 4d). Reports have shown that F-box proteins mainly interact with heat shock proteins (HSPs) through the ubiquitin-proteasome system. This interaction mediates the degradation of HSPs to maintain cellular homeostasis, regulates their chaperone functions, and plays a key role in resisting stress conditions[56]. We next evaluated the protein abundance and ubiquitination level of Flhsp1 in the presence of Flfbp1. Results revealed that Flhsp1 was significantly degraded (approximately 49%) when co-expressed with Flfbp1 (Fig. 4e). However, when we mutate the lysine K at the ubiquitination site of the Flhsp1 protein to arginine R, Flfbp1 is unable to degrade Flhsp1 (Fig. 4d, e). Collectively, these data suggest that Flfbp1 likely acts on Flhsp1 through ubiquitination, with the lysine (K) residue being essential for this process.

    • To further elucidate the β-Carboline biosynthetic pathway, we first conducted a literature review and found that the Pictet-Spengler reaction is pivotal for constructing the core structure of β-Carboline, specifically the polysubstituted tetrahydroisoquinoline scaffold. Among the enzymes involved, strictosidine synthase, a member of the 'Pictet-Spenglerase' family, functions as a key enzyme in monoterpenoid indole alkaloid biosynthesis[57,58]. Notably, in the bacterial strain Ralstonia insidiosa, strictosidine synthase has been identified to regulate the biosynthesis of β-Carboline[59]. In fungi, however, only the biosynthesis of β-Carboline skeletal compounds has been reported, whereas the biosynthetic pathway of β-Carboline itself remains uncharacterized[60]. Through homologous sequence alignment, we identified five homologous proteins of strictosidine synthase in the endophytic fungus F. lateritium, among which Flsmp1 showed the highest homology (Fig. 5a). It is speculated that Flsmp1 may be involved in regulating β-Carboline biosynthesis in F. lateritium Fl617.

      Figure 5. 

      The Flfbp1-Flhsp1 module regulates β-Carboline biosynthesis by modulating the transcription of Flsmp1. (a) Homology alignment of the key β-Carboline biosynthesis enzyme (strictosidine synthase homolog) between Ralstonia insidiosa FC1138 and F. lateritium Fl617. (b) Relative expression levels of Flsmp1 during the interaction between different fungal strains and N. benthamiana. (c) Knockout of Flhsp1 or Flsmp1 enhances the plant growth-promoting ability of the fungal strain on tobacco. The scale in the figure represents 1 cm. (d) Quantitative analysis of N. benthamiana biomass corresponding to panel (c). Data are means ± SD (n = 15 biological replicates). (e) β-Carboline contents in different fungus–tobacco co-culture systems and tobacco alone (Nb), determined by HPLC. Data are presented as mean ± SD of three biological replicates. ** and *** indicate significant differences of ΔFlfbp1, Flfbp1OE, ΔFlhsp1, and ΔFlsmp1 compared with WT (p < 0.01).

      To further dissect the regulatory relationship among Flfbp1, Flhsp1, Flsmp1, and β-carboline, we successfully generated the Flhsp1 knockout mutant (ΔFlhsp1), Flsmp1 knockout mutant (ΔFlsmp1), complemented strains (ΔFlhsp1-C and ΔFlsmp1-C), and the Flhsp1 knockout mutant in the Flfbp1OE background (Flfbp1OEFlhsp1) via targeted gene knockout (Supplementary Fig. S13). We also examined the expression pattern of Flsmp1 in the ΔFlfbp1, Flfbp1OE, and WT strains. The results showed that knockout of either Flfbp1 or Flhsp1 led to significantly decreased expression of Flsmp1, whereas overexpression of Flfbp1 markedly up-regulated Flsmp1 transcription (Fig. 5b), indicating that Flsmp1 expression is coordinately regulated by Flfbp1 and Flhsp1. Meanwhile, the growth-promoting effects on tobacco exerted by the ΔFlhsp1, ΔFlsmp1, and Flfbp1OEFlhsp1 mutants were significantly stronger than those of the WT strain (Fig. 5c). Tobacco biomass values were 2.81-fold, 2.32-fold, and 2.39-fold higher, respectively, than those of the WT treatment group (Fig. 5d; p < 0.01). In contrast, no significant differences in tobacco biomass were observed between the complemented strains and the WT strain (Supplementary Fig. S14). Quantification of β-Carboline revealed that its levels in the interaction systems of ΔFlhsp1, ΔFlsmp1, and Flfbp1OEFlhsp1 with plants were significantly reduced to 15.6%, 58.3%, and 33.7% of the WT level, respectively (p < 0.01) (Fig. 5e). β-Carboline contents in all complemented strains were restored to levels comparable to the WT strain (Supplementary Fig. S14). Collectively, these results suggest that Flfbp1 interacts with Flhsp1 and coordinately modulates the transcription of Flsmp1, thereby regulating the biosynthesis of β-Carboline and ultimately mediating the lifestyle transition from endosymbiosis to pathogenicity in the interaction between F. lateritium Fl617 and tobacco.

      To investigate the functional relationship between Flfbp1 and Flhsp1, we analyzed the growth and sporulation performance of multiple strains, including ΔFlfbp1, Flfbp1OE, ΔFlhsp1, ΔFlfbp1-C, ΔFlhsp1-C, ΔFlsmp1, ΔFlsmp1-C, and Flfbp1OEFlhsp1, under various stress conditions. All strains, along with the WT control, were cultured on PDA, MS, and MM media supplemented with different stressors at 28 °C under a 12 h light-dark cycle and 60% relative humidity for 7 d. Sporulation rates were determined in 1/4 strength SDB medium. On standard media (PDA, MS, MM) and under various stress conditions, no significant differences in colony morphology, color, or growth rate were observed among WT, ΔFlfbp1, ΔFlsmp1, and their corresponding complemented strains. In contrast, the Flfbp1OE strain exhibited enhanced growth, with significantly larger colony diameters under salt stress and Congo Red-induced cell wall stress (p < 0.01) (Supplementary Fig. S15a, S15e, S15f). The ΔFlhsp1 strain displayed pronounced growth defects across all three media, with colony diameters reduced by 50.4% (PDA), 15.4% (MS), and 40.1% (MM) compared to WT (p < 0.01). Growth was further inhibited under salt, acidic (pH 4.0), alkaline (pH 10.4), and oxidative stresses (p < 0.01) (Supplementary Fig. S15aS15i). The growth phenotype of the complemented strain ΔFlhsp1-C was restored to the WT level. Notably, the Flfbp1OEFlhsp1 mutant exhibited growth defects indistinguishable from ΔFlhsp1, indicating that the growth-promoting effect of Flfbp1 overexpression requires a functional Flhsp1. Sporulation assays revealed that the sporulation rates of ΔFlfbp1, ΔFlhsp1, ΔFlsmp1, ΔFlhsp1-C, and Flfbp1OEFlhsp1 strains were significantly decreased, with the most dramatic reductions observed in the ΔFlhsp1 strain. In contrast, the sporulation rate of the Flfbp1OE strain was significantly increased, while no significant differences were observed between WT, ΔFlfbp1-C, and ΔFlsmp1-C (Supplementary Fig. S15j). These results demonstrate that both Flfbp1 and Flhsp1positively regulate fungal growth and sporulation, and that the function of Flfbp1 in these processes is dependent on the presence of a functional Flhsp1. Based on these findings and previous studies, we propose that Flfbp1, Flhsp1, and Flsmp1 may constitute a regulatory module involved in beta carboline biosynthesis, modulation of fungus–plant interactions, and control of asexual reproduction. Among them, Flhsp1 appears to play a critical role, as its loss leads to severe defects in both growth and sporulation, and abolishes the beneficial effects of Flfbp1 overexpression.

    • To investigate the mechanism by which Flfbp1 and β-Carboline inhibit plant growth, we initially analyzed transcriptomic data from fungus–plant interactions. Previous studies have confirmed that the abnormal expression of key regulatory factors in the plant immune system (such as immune signal regulatory genes and resistance-related genes) disrupts the 'activation-inhibition' balance of immune signals, leading to excessive activation of immune pathways and the spread of hypersensitive response (HR) into systemic cell death, thereby inducing plant death[61]. However, our research results show that after treatment with Flfbp1OE strains, the transcriptional levels of genes related to PTI/ETI, salicylic acid (SA), jasmonic acid (JA), and ethylene (ET) signaling pathways in tobacco were significantly downregulated (Supplementary Fig. S9; Table 2). This indicates that the plant death induced by Flfbp1OE strains is unlikely to be caused by plant immune responses.

      Further analysis revealed that Flfbp1OE predominantly impacted auxin-related pathways. Among five auxin biosynthesis-associated genes, two were up-regulated, and three were down-regulated, while among 18 auxin transport-related genes, three were upregulated and 15 were down-regulated (Supplementary Fig. S16a, S16b; Table 4). Meanwhile, gibberellin (GA) responsive genes exhibited a down-regulated trend. Among the five GA biosynthesis-related genes, two were up-regulated, and three were down-regulated; among the 10 genes involved in GA perception and signal transduction, two were upregulated, and eight were down-regulated (Supplementary Fig. S17; Table 5). Previous studies have demonstrated that indole-3-acetic acid (IAA) and GA maintain plant hormone homeostasis via a bidirectional synthesis-metabolism regulatory network. Specifically, IAA facilitates GA accumulation by upregulating key GA biosynthesis genes (e.g., GA20ox) and suppressing the activity of GA catabolic enzymes (e.g., GA2-oxidase). In contrast, GA modulates IAA dynamics by enhancing PIN family protein-mediated polar auxin transport and balancing the expression of IAA biosynthesis genes (YUCCA) and catabolic genes (GH3)[62,63]. This interaction network suggests that the regulatory effect of Flfbp1 on GA-related gene expression is likely an indirect consequence of its interference with the IAA pathway. Accordingly, subsequent studies were focused on the auxin (IAA) signaling pathway. Further analysis revealed that AUX/IAA—a key gene that represses the auxin signaling pathway—was significantly up-regulated, whereas TIR1, the receptor protein gene that activates this pathway, was significantly down-regulated (Supplementary Fig. S16c). These observations collectively suggest that Flfbp1 and β-Carboline may inhibit plant growth by suppressing the auxin signaling pathway in N. benthamiana.

      Table 4.  Analysis of differential genes in auxin pathway of N. benthamiana enriched in transcriptome.

      Nicotiana benthamiana gene Log2FC (OE/FL) GO, EggNOG, and/or NR description Significant Regulate
      Transport inhibitor response 1 (TIR1)/auxin signaling F-BOX (AFB) auxin receptor protein
      NbL09g14830 −1.484840014 Transport inhibitor response 1-like Yes Down
      NbL18g05140 −0.122866608 Auxin signaling F-BOX 2-like No Down
      NbL18g05510 −0.329982688 Auxin signaling F-BOX 2-like No Down
      indole-3-acetic acid-amido synthetase
      NbL01g07800 −1.908802784 Indole-3-acetic acid-amido synthetase GH3.5 Yes Down
      NbL02g06310 1.439623697 Indole-3-acetic acid-amido synthetase GH3.1 Yes Up
      NbL05g17320 −1.09617348 Indole-3-acetic acid-amido synthetase GH3.1 Yes Down
      NbL11g18650 −1.114444544 Indole-3-acetic acid-amido synthetase GH3.6-like Yes Down
      NbL17g22680 1.189671596 Indole-3-acetic acid-amido synthetase GH3.1 Yes Up
      Auxin transporter protein
      NbL01g00650 −4.828880997 Auxin transporter-like protein 2 Yes Down
      NbL03g07460 2.285286635 Auxin transporter-like protein 2 Yes Up
      NbL09g23290 −5.54548812 Auxin transporter-like protein 2 Yes Down
      NbL11g14560 −3.364388709 Auxin transporter-like protein 2 Yes Down
      NbL14g19160 −1.806469884 Auxin transporter-like protein 3 Yes Down
      NbL19g07760 −2.73623543 Regulation of auxin polar transport Yes Down
      NbL16g18860 −1.150471952 Regulation of auxin polar transport Yes Down
      NbL14g08500 1.465737757 Protein PIN-LIKES 6-like Yes Up
      NbL10g12990 −1.623008847 Protein PIN-LIKES 7 Yes Down
      NbL08g15120 1.065093528 Protein PIN-LIKES 6-like Yes Up
      NbL06g09580 −2.679347268 Protein PIN-LIKES 7 Yes Down
      NbL02g24270 −2.163781867 ABC transporter B family member 19 Yes Down
      NbL19g09930 −1.942374526 ABC transporter B family member 19 Yes Down
      NbL00g02570 −4.828880997 Auxin efflux carrier component 7-like (PIN3) Yes Down
      NbL04g04410 2.285286635 Auxin efflux carrier component 3-like (PIN3) Yes Down
      NbL09g07200 −5.54548812 Auxin efflux carrier component 6-like (PIN6) Yes Down
      NbL16g17760 −3.364388709 Auxin efflux carrier component 1-like (PIN1) Yes Down
      NbL18g00130 −1.806469884 Auxin efflux carrier component 7-like (PIN3) Yes Down
      Auxin responsive protein
      NbL01g09250 −1.054583065 Auxin-responsive protein IAA16 Yes Down
      NbL01g21870 −2.523692106 Auxin-responsive protein IAA13-like Yes Down
      NbL01g23060 −2.440189948 Auxin-responsive protein IAA4 Yes Down
      NbL01g23080 −2.205581671 Auxin-responsive protein IAA7-like Yes Down
      NbL03g13570 1.429065824 Auxin-responsive protein SAUR32-like Yes Up
      NbL05g19690 −3.29660792 Auxin-responsive protein SAUR68-like Yes Down
      NbL07g04240 −5.968493708 Auxin-responsive protein IAA29-like Yes Down
      NbL08g03870 −3.919578223 Auxin-responsive protein SAUR68-like Yes Down
      NbL09g00020 −2.628425635 Auxin-responsive protein IAA4-like Yes Down
      NbL09g00030 −1.626709574 Auxin-responsive protein IAA14-like Yes Down
      NbL11g16610 −1.400905548 Auxin-responsive protein IAA16 Yes Down
      NbL11g21040 −2.179973728 Auxin-responsive protein IAA4 Yes Down
      NbL11g21050 −1.252856512 Auxin-responsive protein IAA7-like Yes Down
      NbL13g13620 1.298520512 Auxin-responsive protein SAUR32-like Yes Up
      NbL13g20890 2.003292672 Auxin-responsive protein IAA17-like Yes Up
      NbL13g26840 −2.368881964 Auxin-responsive protein SAUR68-like Yes Down
      NbL13g26870 −4.278233719 Auxin-responsive protein SAUR68-like Yes Down
      NbL14g07010 −3.567600595 Auxin-responsive protein IAA14 Yes Down
      NbL16g01650 −1.876347783 Auxin-responsive protein IAA27-like Yes Down
      NbL16g12950 −2.088996357 Auxin-responsive protein IAA13-like Yes Down
      NbL17g06370 −4.71703058 Auxin-responsive protein IAA29-like Yes Down
      NbL17g08960 −2.483252353 Auxin-responsive protein SAUR68-like Yes Down
      NbL17g14080 1.059526377 Auxin-responsive protein SAUR71-like Yes Up
      NbL18g02000 −4.444820436 Auxin-responsive protein SAUR68-like Yes Down
      Auxin response factor
      NbL05g12860 −1.083493124 Auxin response factor 19-like Yes Down
      NbL07g00920 −2.617378332 Auxin response factor 4 Yes Down
      NbL10g04280 −1.315801096 Auxin response factor 1-like Yes Down
      NbL10g04590 −3.310667496 Auxin response factor 16-like Yes Down
      NbL10g07900 −1.052066843 Auxin response factor 19-like Yes Down
      NbL10g23910 −1.512927065 Auxin response factor 9-like Yes Down
      NbL12g18280 −1.392296468 Auxin response factor 19-like Yes Down
      NbL17g08330 −1.55076215 Auxin response factor 4 Yes Down
      NbL17g24940 1.292835226 Auxin response factor 5-like Yes Up

      Table 5.  Analysis of differential genes in GA pathway of N. benthamiana enriched in transcriptome.

      Nicotiana benthamiana gene Log2FC (OE/FL) GO, EggNOG, and/or NR description Significant Regulate
      GA synthetase
      NbL01g06920 2.280511162 Gibberellin 20-oxidase-like protein Yes Up
      NbL03g22250 1.169536118 Transcription factor DIVARICATA-like Yes Up
      NbL07g07470 −1.995380527 Ent-kaur-16-ene synthase Yes Down
      NbL07g10520 −3.238743936 Gibberellin 20 oxidase 1-like Yes Down
      NbL19g12570 −1.932379575 Transcription factor DIVARICATA-like Yes Down
      GA perception and signal transduction protein
      NbL02g07220 1.131961551 Gibberellin receptor GID1B-like Yes Up
      NbL03g17990 −3.146397875 Gibberellin-regulated protein 1-like Yes Down
      NbL04g08050 −1.487927675 Gibberellin-regulated protein 9-like Yes Down
      NbL09g01800 −2.212289988 Scarecrow-like protein 21 Yes Down
      NbL09g12800 −3.619699869 Gibberellin-regulated protein 6-like Yes Down
      NbL11g08070 −1.674741687 Scarecrow-like protein 21 Yes Down
      NbL13g08210 −5.512312894 Gibberellin-regulated protein 6 Yes Down
      NbL14g18570 −2.055725221 Gibberellin-regulated protein 9-like Yes Down
      NbL15g20270 1.625391735 Scarecrow-like protein 21 Yes Up
      NbL16g05100 −3.904334877 Gibberellin-regulated protein 6-like Yes Down
      GA related metabolic protein
      NbL11g20260 −1.525057496 Gibberellin 2-beta-dioxygenase 2-like Yes Down
      NbL05g10730 −1.760610284 Gibberellin 2-beta-dioxygenase 2-like Yes Down
      NbL08g06380 1.322026732 Gibberellin 2-beta-dioxygenase 2-like Yes Up
      NbL16g11350 −3.972446266 gibberellin 2-beta-dioxygenase 2-like Yes Down

      To validate this hypothesis, we utilized Arabidopsis auxin reporter lines (DR5-GFP and PIN1pro:EGFP-GUS) as experimental systems. Phenotypically, knockout mutants (ΔFlfbp1, ΔFlhsp1, and ΔFlsmp1) significantly enhanced plant growth with increased biomass (Fig. 6a, e), whereas the Flfbp1OE strain and β-Carboline treatment resulted in plant lethality (Fig. 6b, f). This phenotypic consistency with N. benthamiana confirmed the validity of Arabidopsis as a model for further mechanistic dissection. Fluorescence analysis of DR5-GFP revealed tissue-specific patterns: no significant differences in fluorescence intensity were observed in root apices across treatment groups, but in the root elongation zone, fluorescence was significantly stronger in the ΔFlfbp1, ΔFlhsp1, and ΔFlsmp1 groups compared to the WT. In contrast, no fluorescence signals were detected in the Flfbp1OE or β-Carboline-treated groups (Fig. 6c, d). Further analysis using the PIN1pro:GUS reporter system revealed that GUS staining intensity in Arabidopsis roots was significantly elevated in the ΔFlfbp1, ΔFlhsp1, and ΔFlsmp1 treatment groups, compared to the WT strain control. Conversely, roots treated with Flfbp1OE or β-Carboline exhibited significantly reduced GUS staining intensity relative to the WT control (Fig. 6e, g). Additionally, we examined the expression pattern of AtPIN11 in PIN1pro:EGFP-Gus plants and observed that its expression was significantly upregulated in the ΔFlfbp1, ΔFlhsp1, and ΔFlsmp1 treatment groups, whereas it was significantly down-regulated in the Flfbp1OE and β-Carboline treatment groups (Fig. 6h). Furthermore, functional validation was performed by exogenously applying 0.69 mM NPA (1-naphthylphthalamic acid), a specific inhibitor of auxin transport, to tobacco seedlings inoculated with the WT strain and the ΔFlfbp1, ΔFlhsp1, and ΔFlsmp1 knockout mutants. The results showed that NPA treatment significantly suppressed the growth-promoting effects on tobacco in all inoculation groups (Supplementary Fig. S18a). Notably, under the same NPA treatment, tobacco biomass in the ΔFlfbp1, ΔFlhsp1, and ΔFlsmp1 treatment groups remained significantly higher than that in the WT strain treatment group (Supplementary Fig. S18b, S18c). Collectively, these data indicate that Flfbp1 and β-Carboline likely modulate auxin transport rather than biosynthesis, thereby exerting inhibitory effects on plant growth.

      Figure 6. 

      Mechanistic analysis of Flfbp1 and β-Carbolinein regulating auxin transport in Arabidopsis thaliana. (a) Phenotypic effects of different F. lateritium strains and β-Carboline treatment on the Arabidopsis thaliana DR5-GFP auxin reporter line. The scale in the figure represents 1 cm. (b) Quantitative analysis of Arabidopsis thaliana biomass corresponding to panel (a). (c) Quantification of DR5-GFP fluorescence intensity in Arabidopsis thaliana root tips shown in panel (a). (d) Quantification of DR5-GFP fluorescence intensity in the elongation zone (EZ) of Arabidopsis thaliana root tips shown in panel (a). (e) Effects of different F. lateritium strains and β-Carboline treatment on the Arabidopsis thaliana PIN1pro:EGFP-GUS line. The scale in the figure represents 1 cm. (f) Quantitative analysis of Arabidopsis thaliana biomass corresponding to panel (e). (g) Quantitative analysis of GUS staining gray value in Arabidopsis thaliana roots shown in panel (e). (h) Relative expression level of AtPIN1 under the co-culture of different fungal strains with Arabidopsis thaliana. Data are presented as mean ± SD of three biological replicates. ** and *** indicate significant differences of ΔFlfbp1, ΔFlhsp1, ΔFlsmp1, and Flfbp1OE compared with WT (p < 0.01). Scale bar = 50 μm.

    • The stable maintenance of biological order is the core prerequisite for species survival, and this rule applies to all biological communities, including the plant–microbe symbiosis system. The seemingly stable endophyte-plant symbiotic relationship is essentially the result of hundreds of millions of years of interspecific interaction and evolutionary dynamic equilibrium, and the switching of the interaction state between the two parties relies on the driving of core regulatory factors[1,2]. In this study, we took the endophytic F. lateritium Fl617 as the research object and identified the ubiquitin E3 ligase F-box protein Flfbp1 as the key regulator mediating the transition between symbiotic and pathogenic states of this strain. We systematically analyzed the molecular mechanism by which Flfbp1, as the core regulator, controls the biosynthesis of β-Carboline, a plant growth inhibitor. Combined with the analysis of fungal cell wall-degrading enzyme profiles and metabolite detection results, we improved the regulatory network of fungus–plant interaction. This study reveals the pathogenic pathway by which β-Carboline hijacks plant auxin transport and leads to plant death, clarifies the functional adaptive evolutionary characteristics of the F-box protein family in endophytic and pathogenic fungi, and provides a new molecular perspective for in-depth understanding of the dynamic balance of microbe–host interactions.

      Virulence factors represent the core pathogenic molecules that drive plant death upon infection by pathogenic fungi. Post-translational regulation of virulence factor stability serves as a critical switch governing the transition between pathogenic and symbiotic lifestyles, and the ubiquitin–proteasome pathway constitutes the central regulatory module for this process[64]. Among its components, Fbp1—the substrate-recognition subunit of the E3 ubiquitin ligase—functions as a central regulator of pathogenicity in diverse fungal pathogens, including F. graminearum and F. oxysporum. This protein is strongly induced during host infection and promotes fungal invasion and colonization by modulating the expression of genes encoding cell wall-degrading enzymes such as cellulases and pectinases, thereby dismantling the plant cell wall barrier. Their pathogenicity strictly relies on the fungal colonization level in the host, which is a classic pathogenic characteristic of pathogenic fungi[11,47,48]. In contrast, our study reveals that the F-box protein Flfbp1 from the endophytic fungus F. lateritium Fl617 has undergone pronounced functional divergence. During symbiotic interactions with tomato and N. benthamiana, Flfbp1 is stably expressed at low levels and significantly promotes plant growth, while the fungus maintains low cell wall-degrading enzyme activity (Supplementary Figs S1, S2, and S7). Upon overexpression of Flfbp1, despite a moderate increase in cell wall-degrading enzyme activity (Supplementary Fig. S7), fungal colonization in planta is drastically reduced, yet the strain triggers host plant death (Fig. 2). These findings establish Flfbp1 as a molecular switch controlling the symbiosis–pathogenicity transition in this endophyte, and demonstrate that cell wall-degrading enzymes are not the primary determinants of its pathogenicity. Intriguingly, this phenomenon is inconsistent with the classical mechanism of pathogenic fungi, in which cell wall-degrading enzymes mediate colonization, and colonization level determines pathogenicity. This finding suggests that this endophytic fungus has evolved a pathogenic pathway independent of colonization density, distinct from the canonical pathogenic mode. In support of this conclusion, metabolic profiling (Figs 3, 5; Supplementary Fig. S11) showed that metabolites from the ΔFlfbp1 mutant strongly enhance plant growth, whereas metabolites from the Flfbp1OE strain directly induce plant death (Fig. 3). These results further confirm that the Flfbp1-mediated lifestyle transition in this endophyte depends primarily on the regulation of specialized metabolite biosynthesis, rather than on cell wall-degrading enzyme activity.

      Building on the key regulatory insights from metabolite profiling, we further dissected the core metabolic pathways governed by Flfbp1 and uncovered that secondary metabolites act as a central player in the interaction of this endophytic fungus. Secondary metabolites serve as critical virulence determinants in pathogenic Fusarium species. Canonical mycotoxins, including fumonisins, deoxynivalenol, and fusaric acid, induce plant death by directly damaging host cells and suppressing physiological processes, representing the core pathogenic molecules of pathogenic Fusarium[6567]. In contrast, integrated metabolomic and LC-MS analyses (Supplementary Fig. S11) revealed that none of the above-mentioned classic Fusarium virulence factors were detected in F. lateritium Fl617. Instead, we identified multiple metabolites with plant growth-regulatory activity, such as β-Carboline and 4-nitrocatechol, indicating that this endophytic F. lateritium Fl617 employs a novel metabolite system relying on non-canonical virulence factors to modulate host interactions. β-Carboline is a well-characterized alkaloid that regulates plant physiology. Prior studies have only documented its presence in plants and bacteria, together with its plant growth-inhibitory activity, yet its biosynthetic pathway has remained unresolved. A key breakthrough of this study is the first identification of β-Carboline biosynthetic capacity in a Fusarium species, and the delineation of its biosynthetic pathway directly controlled by Flfbp1. Mechanistically, Flfbp1 interacts with the heat shock protein Flhsp1 to modulate the transcription of the key gene Flsmp1, thereby precisely governing β-Carboline biosynthesis (Figs 3, 5). Notably, this pathway also raises important unresolved questions. Bioinformatic prediction suggested that Flhsp1 localizes to the cytoplasm and plasma membrane, whereas experimental evidence demonstrated that it exclusively localizes to the plasma membrane (Fig. 4), a pattern distinct from the canonical cytoplasmic localization of conventional HSP70 proteins. The molecular mechanism and biological significance underlying this unique subcellular localization warrant further in-depth investigation.

      To verify the central role of the Flfbp1–Flhsp1–Flsmp1 module in regulating the β-Carboline biosynthetic pathway, we performed a series of functional assays using gene knockout, overexpression, and complementation strains. Deletion of any single gene—Flfbp1, Flhsp1, or Flsmp1—resulted in a significant reduction in β-Carboline production (Figs 3, 5) and a pronounced enhancement of plant growth-promoting effects. In contrast, β-Carboline levels were drastically elevated in the Flfbp1OE strain (Fig 3), which directly induced host death in tobacco. To exclude non-specific effects such as random insertion and background adaptation during genetic manipulation, we generated complementation strains for Flfbp1, Flhsp1, and Flsmp1Flfbp1-C, ΔFlhsp1-C, ΔFlsmp1-C). These complemented strains restored β-Carboline production to WT strains' levels, and the corresponding growth-promoting or pathogenic phenotypes on tobacco were also restored to the WT state (Figs 3, 5; Supplementary Fig. S14). Collectively, these results demonstrate that β-Carboline acts in a dose-dependent manner to dictate the interaction mode between F. lateritium and its host. Low levels support a symbiotic and growth-promoting state, whereas high levels trigger a pathogenic lifestyle. Our data further confirm that the Flfbp1–Flhsp1–Flsmp1 pathway constitutes the core molecular module governing β-Carboline biosynthesis and thereby mediates the symbiosis–pathogenicity switch in F. lateritium, while cell wall-degrading enzymes play only a secondary and supportive role in this process.

      After defining the core metabolic pathway regulated by Flfbp1, we further identified the host pathogenic molecular targets of this endophyte and found that its pathogenic mechanism bypasses the plant immune pathway. The pathogenic mechanisms of traditional pathogenic fungi are centered on host immune responses, which typically trigger excessive immune reactions and cell death by activating the plant PTI/ETI immune pathways and elevating levels of defense-related hormones such as SA/JA/ET, representing the classic model of plant–pathogen interactions[68,69]. In contrast, our study revealed that after tobacco plants were treated with the Flfbp1OE strain, key genes in the host PTI/ETI immune pathways and SA/JA/ET hormone levels were significantly down-regulated. These results ruled out the possibility that plant death was caused by immune responses, confirming that this endophytic fungus bypasses the host immune pathway and instead achieves pathogenicity by directly interfering with the core plant growth regulatory pathway—a key feature that distinguishes it from typical pathogenic fungi (Supplementary Figs S8, S16). Transcriptomic analysis further identified the core molecular target of this pathogenic process as the plant auxin transport system. Following treatment with the Flfbp1OE strain, auxin-responsive genes in tobacco were markedly down-regulated, AUX/IAA family genes (auxin signaling repressors) were up-regulated, and expression of the auxin receptor gene TIR1 was inhibited, ultimately blocking host auxin transport (Supplementary Fig. S16). Functional verification using Arabidopsis DR5-GFP and PIN1pro:EGFP-Gus lines further confirmed that β-Carboline is the direct effector molecule mediating this process (Fig. 6). Thus, Flfbp1 directly targets the plant auxin transport system by regulating β-Carboline biosynthesis, interfering with normal host auxin signaling, and ultimately triggering plant death. Consistent with the dose-dependent regulatory pattern of β-carboline, low levels of β-Carboline do not affect normal auxin transport, allowing the fungus and plant to maintain a symbiotic and growth-promoting relationship. In contrast, high levels of β-Carboline strongly inhibit plant auxin transport, disrupt the host's core growth regulatory pathway, and ultimately trigger a pathogenic response (Fig. 7).

      Figure 7. 

      A model illustrating F. lateritium Fl617 state transition (beneficial to pathogenic) regulating plant growth via β-Carboline and auxin signaling.

      This study establishes the Flfbp1-mediated bistable regulatory mechanism in the endophytic fungus F. lateritium Fl617. However, several important scientific questions remain to be addressed, pointing to key directions for future research. First, although Flfbp1 acts as a molecular switch governing the symbiosis–pathogenicity transition in this endophyte, the precise regulatory mechanisms that trigger this switch remain to be elucidated. Second, Flhsp1 functions as a critical regulator of β-Carboline biosynthesis, yet the molecular basis underlying its exclusive plasma membrane localization is unclear. The detailed interaction mode and binding interface between Flhsp1 and Flfbp1 also require further validation by protein–protein interaction assays. Third, within the Flfbp1-mediated ubiquitination system, it remains unknown whether additional interacting proteins exist beyond Flhsp1. How this module coordinately regulates β-Carboline biosynthesis and cell wall-degrading enzyme activity requires further mechanistic dissection. Fourth, the direct molecular target of β-Carboline within the plant auxin transport system has not been identified. The binding characteristics and regulatory mechanisms between β-Carboline and PIN family transporters warrant in-depth investigation. Fifth, Flfbp1-mediated pathogenicity displays remarkable host specificity: infection leads to lethality in tobacco and Arabidopsis but only growth inhibition in tomato. The molecular basis underlying this host specificity, including host recognition elements and divergent signaling pathways, represents a central question in understanding endophyte–host specificity and requires systematic characterization.

      In summary, this study reveals the core bistable regulatory mechanism of the endophytic fungus F. lateritium Fl617. As the central regulator, Flfbp1 mediates the transcriptional expression of Flsmp1 by interacting with the heat shock protein Flhsp1, thereby achieving dose-dependent regulation of β-Carboline biosynthesis. Meanwhile, it modulates cell wall-degrading enzyme activity to play an auxiliary role. As the key effector molecule, β-Carboline targets the plant auxin transport system and interferes with the host's core growth regulatory pathway, thereby mediating the transition between symbiotic and pathogenic states in the fungus–plant interaction. The innovations of this study are as follows: we identified the biosynthetic capability of β-Carboline in fungi for the first time and elucidated its molecular biosynthetic pathway; we revealed the functional adaptive evolution of the F-box protein family between endophytic and pathogenic fungi; and, combined with cell wall-degrading enzyme analysis, we uncovered a pathogenic strategy in endophytic fungi that is immune-independent, colonization-unrelated, and dominated by secondary metabolites with cell wall-degrading enzymes as auxiliary factors. This study not only provides a new model for dissecting the molecular basis of state plasticity in endophytic fungi, but also offers a novel perspective for understanding the dynamic balance of microbe–host interactions. Furthermore, it provides key gene targets and a theoretical foundation for the application of endophytic fungi in the biological control of plant diseases and crop growth promotion.

      • The authors confirm their contributions to the paper as follows: conceptualization, methodology, data curation, writing − original draft: Li Y; investigation: Zha X, Xiao Q, Wang J, Liu G, Liu R, He Y; conceptualization, methodology, supervision: He Z, Kang J. All authors reviewed the results and approved the final version of the manuscript.

      • All data generated or analyzed during this study are included in this published article and its supplementary information files.

      • Many thanks to the National Natural Science Foundation of China (32160667, 32170019, 31901947 and 32460007) for support of this work. The authors express their sincere gratitude to Professor Daohong Jiang from Huazhong Agricultural University and Professor Fengquan Liu from Guizhou University for their constructive feedback and valuable suggestions regarding this paper.

      • The authors declare no conflict of interest.

      • Supplementary Fig. S1 Expression pattern of Flfbp1 during F. lateritium interaction with different host plants.
      • Supplementary Fig. S2 Expression and functional analysis of Flfbp1 during F. lateritium interaction with N. benthamiana (Nb).
      • Supplementary Fig. S3 Construction and verification of Flfbp1 knockout and overexpression mutants in F. lateritium F1617.
      • Supplementary Fig. S4 WT strain promotes growth of N. benthamiana.
      • Supplementary Fig. S5 Flfbp1 modulates the intensity, but not the site, of fungal colonization in tobacco roots.
      • Supplementary Fig. S6 Flfbp1 modulates the growth‑promoting effect of F. lateritiumon non-Nicotianahosts, including Arabidopsis thaliana and tomato.
      • Supplementary Fig. S7 Transcriptome differential analysis of WT and Flfbp1OE of F. lateritium Fl617.
      • Supplementary Fig. S8 CFW staining of plant cell wall structure after interaction with different F. lateritiumstrains.
      • Supplementary Fig. S9 Overexpression of Flfbp1 in F. lateritium suppresses PTI/ETI immunity and SA, JA, and ET hormone pathways in N. benthamiana.
      • Supplementary Fig. S10 F. lateritium (WT) promotes growth of N. benthamiana via secreted secondary metabolites.
      • Supplementary Fig. S11 β-Carboline is enriched in the Flfbp1OE strain.
      • Supplementary Fig. S12 β-Carboline inhibits N. benthamiana seedling growth in a dose-dependent manner.
      • Supplementary Fig. S13 Construction and identification of single-gene knockout mutants of Flhsp1 and Flsmp1, and Flhsp1 knockout mutant in the Flfbp1OE background in F. lateritium. F1617.
      • Supplementary Fig. S14 Interaction phenotypes and secondary metabolite analysis of Flhsp1 and Flsmp1 complementation strains of F. lateritium F1617 with N. benthamiana.
      • Supplementary Fig. S15 Flfbp1 and Flhsp1 regulate fungal stress resistance and sporulation.
      • Supplementary Fig. S16 Overexpression of Flfbp reshapes the transcript profile of auxin-related genes in N. benthamiana. N. benthamiana plants were inoculated with WT or Flfbp1OE strains, and samples were collected at 10 d post-inoculation.
      • Supplementary Fig. S17 Overexpression of Flfbp1 in F. lateritium reshapes the gibberellin (GA) pathway transcriptome in N. benthamiana. N. benthamiana plants were inoculated with WT or Flfbp1OE strains, and samples were collected at 10 d post-inoculation for transcriptome sequencing to analyze the expression changes of GA pathway genes.
      • Supplementary Fig. S18 Flfbp1, Flhsp1 and Flsmp1 regulate the growth of N. benthamiana under chemical perturbation via the auxin response pathway.
      • Copyright: © 2026 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (7)  Table (5) References (69)
  • About this article
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    Li Y, Zha X, Xiao Q, Wang J, Liu G, et al. 2026. Overexpression of Flfbp1 Gene Triggers the Transition of Fusarium lateritium from a Mutualistic Endophyte to a Pathogen via more β-Carboline production Mycosphere 17: e009 doi: 10.48130/mycosphere-0026-0009
    Li Y, Zha X, Xiao Q, Wang J, Liu G, et al. 2026. Overexpression of Flfbp1 Gene Triggers the Transition of Fusarium lateritium from a Mutualistic Endophyte to a Pathogen via more β-Carboline production Mycosphere 17: e009 doi: 10.48130/mycosphere-0026-0009

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