ABSTRACT
Ketone volatile organic compounds have demonstrated favorable inhibitory activity against a wide range of pathogenic fungi, including Pseudogymnoascus destructans (Pd), the lethal pathogenic fungus responsible for white-nose syndrome in bats. However, the mechanism of fungal inhibition by ketones remains unclear. In this study, we employed transcriptomic analysis to conduct RNA sequencing on Pd treated with 2-undecanone and 2-nonanone, aiming to investigate the effects of these ketones on the gene expression profiles of Pd. The results indicated that 2-undecanone and 2-nonanone inhibit spore germination in Pd and cause significant damage to its mycelium. The minimum inhibitory concentrations (MIC) were determined to be 25.94 μg/mL and 135.41 μg/mL, respectively. Transcriptomic analysis revealed these ketones affects Pd through multiple pathways, inducing lesions in the cell wall and membrane, and disrupting ribosomal stability by interfering with rRNA modifications and ribosome assembly. Additionally, we found that 2-undecanone impacts enzymes involved in the tricarboxylic acid cycle, disrupting energy metabolism by interfering with critical metabolic pathways in aerobic organisms. In contrast, 2-nonanone directly damages Pd DNA, triggering the activation of DNA damage repair mechanisms. This study provides a theoretical basis for exploring novel antifungal strategies targeting Pd, suggesting that ketones may serve as potential in vitro defense and control tools, laying the groundwork for the subsequent development of efficient fumigants.
KEYWORDS: Bat, Pseudogymnoascus destructans, volatile compounds, 2-undecanone, 2-nonanone, transcriptomics
Introduction
Microorganisms naturally produce a wide range of volatile organic compounds (VOCs) through metabolic processes, including ketones, ethers, aldehydes, alkenes, alcohols, and pyrazines [1,2]. These important secondary metabolites are characterized by low molecular weight, low boiling points, high vapor pressure, and volatility at ambient temperatures [3]. Research has shown that microbial volatile organic compounds (mVOCs) can be transmitted over long distances in atmospheric and liquid media, but their transmission is more localized in soil. These compounds mediate intracellular signaling and inter-organism interactions while also regulating biological health [4]. For instance, dimethyl disulfide has been shown to promote plant growth, significantly increasing biomass [5]. Additionally, 2,3-butanediol and certain alkanes can induce systemic resistance in plants, enhancing their tolerance to biotic stress [6]. Several compounds, including ketones, have also demonstrated the ability to inhibit the growth of pathogenic fungi or act as antibiotics [7,8].
In recent years, the emergence of increasingly stubborn fungal diseases has posed a significant threat to the species composition of both animal and plant hosts, accounting for approximately 65% of pathogen-driven host losses [9]. VOCs are emerging as potential sustainable and effective antimicrobial agents for the biocontrol of fungal pathogens [7,10]. Their application is of substantial significance for developing novel strategies for the prevention and management of fungal diseases. Compared to bacteria, fungi exhibit significant differences in cellular components and morphological structures, leading to distinctly different damage responses when treated with VOCs [8]. In addition to disrupting cell wall and membrane integrity, which leads to leakage of intracellular contents [11], VOCs can cause DNA damage, cytoplasmic and protoplasmic aggregation, and destruction of organelles such as mitochondria [12,13]. Fungal damage is predominantly manifested through significant abnormalities in hyphal morphology and structure [14,15], increased vacuolation [16], and inhibition of normal conidial development and germination [17].
Among the common VOCs produced by bacteria, ketones exhibit significant antifungal activity against various pathogens [7], and increasing research is identifying them as potential antifungal agents against pathogenic fungi [18]. For instance, 2-nonanone and 2-heptanone, produced by Pseudomonas, display strong antifungal activity, significantly inhibiting the growth of Agrobacterium tumefaciens C58 [19]. Additionally, 2-nonanone effectively suppresses the mycelial growth of Colletotrichum acutatum [20]. 2-undecanone produced by Bacillus velezensis completely inhibits the growth of Fusarium graminearum [21]. 6-methyl-2-heptanone, generated by Bacillus subtilis ZD01, disrupts the internal structure of conidia in Alternaria solani, leading to downregulation of pathogenic genes expression. Although numerous studies have highlighted the potent inhibitory effects of ketones on various pathogenic fungi, there remains a lack of research into the underlying mechanisms of their actions.
Pseudogymnoascus destructans (Pd), the lethal causative agent of white-nose syndrome (WNS) in bats [22,23], has led to regional extinction of bat populations and poses a serious threat to biological health and ecosystem stability [24]. However, in contrast to North America, no large-scale bat mortality events attributed to Pd have been documented in Eurasia [25,26]. Bat populations in China, for example, tend to show lower fungal loads of Pd, which do not result in mortality [27]. This suggests that there may be host resistance mechanisms at play. Investigating the resistance strategies of Chinese bat species could provide valuable insights into potential management approaches for WNS in North American bat populations. Previous research on the biocontrol of WNS has primarily focused on isolating and screening antagonistic bacterial strains against Pd and identifying VOCs with antifungal activity [28,29]. For example, the antagonistic strain Pseudomonas yamanorum GZD14026 has been shown to metabolize octanoic acid, 3-methyl-3-buten-1-ol, and 3-tert-butyl-4-hydroxyanisole, effectively inhibiting Pd growth at low concentrations [30]. Additionally, compounds such as 1-octen-3-ol and trans-2-hexenal have demonstrated to ability to suppress Pd mycelial growth and prevent conidial germination [31], with trans-2-hexenal also influencing Pd gene expression. This includes significant downregulation of virulence factor-related genes, such as those encoding superoxide dismutase and subtilisin-like serine protease [32]. However, research on the underlying mechanisms by which VOCs produced through bacterial metabolism inhibit Pd remains limited, and few studies have specifically examined the role of ketones in inhibiting Pd growth.
In our previous studies, we identified antagonistic bacterial strains isolated from the wing membranes of Myotis pilosus in China that can metabolize and produce substantial amounts of VOCs, demonstrating strong inhibitory effects against Pd grown on sabouraud dextrose agar (SDA) [33]. Among these, 2-undecanone and 2-nonanone were found to be potent inhibitors of Pd, completely suppressing its growth even at low concentrations [33]. In this study, RNA sequencing (RNA-seq) was conducted on Pd treated with 2-undecanone and 2-nonanone to investigate the impact of these ketones on gene expression patterns. By examining various aspects, including morphological structure, energy metabolism, and genetic information processing, this research aims to elucidate the antifungal mechanisms of ketones against Pd. The findings will provide a theoretical basis for exploring novel antifungal strategies targeting Pd, suggesting that ketones may serve as potential in vitro defense and control tools, laying the groundwork for the subsequent development of efficient fumigants.
Materials and methods
Ketone volatile compounds and Pd
Standards for 2-nonanone (CAS: 821–55-6) and 2-undecanone (CAS: 112–12-9) were purchased from Shanghai Macklin Biochemical Technology Co., Ltd. Pseudogymnoascus destructans JHCN111a (hereafter referred to as Pd) was preserved by the Key Laboratory of Animal Resource Conservation and Utilization at Northeast Normal University in Jilin Province.
Antifungal activity of ketone volatile compounds against Pd
To obtain Pd spore suspension, frozen glycerol stocks of Pd were inoculated onto SDA plates and incubated under controlled conditions (13°C, 90% relative humidity) for three weeks. After incubation, 10 mL of phosphate-buffered saline with 0.05% Tween 20 (PBST20) was added to the Pd spores to facilitate scraping. The resulting suspension was then filtered to remove mycelia, and the spores were counted using a hemocytometer. Finally, the spore concentration was adjusted to 105 spores/mL.
100 μL of Pd spore suspension was evenly inoculated at a concentration of 2 × 105 spores/mL onto SDA plates. After allowing to inoculum to dry, the plates were inverted and different volumes (100 μL, 50 μL, and 10 μL) of VOC standards were inoculated onto sterile paper disks, which were then placed at the center of the inner lid of the plates. The plates were incubated under 13°C and 90% humidity for 14 days, during which the inhibition of Pd growth was observed and recorded, with three biological replicates for each treatment. The concentrations of the compounds were adjusted using a two-fold dilution method on a 14-day basis, and plate images were processed using ImageJ (v1.54f) software after incubation to determine the minimum inhibitory concentration (MIC) and the half-maximal inhibitory concentration (IC50) [34]. Antifungal activity was defined as the ability of a VOC to inhibit the growth of Pd, which was assessed by measuring the reduction in growth area or the absence of visible growth around the paper disk. The MIC was determined as the lowest VOC concentration at which no visible Pd growth was observed compared to the control. The IC50 was defined as the VOC concentration that resulted in a 50% reduction in the Pd growth area.
Effects of ketone volatile compounds on the morphology of Pd
Pd strains were inoculated separately onto SDA agar plates containing IC50 concentrations of 2-nonanone and 2-undecanone, and cultured for 21 days. Each treatment group had four biological replicates. Fresh mycelia were then quickly cut into pieces measuring 1–2 mm3 and immersed in an adequate volume of 2.5% glutaraldehyde fixative solution to fully submerge the mycelia. The samples were fixed at room temperature in the dark for 2 hours and subsequently transferred to 4°C for low-temperature fixation for 24 hours. After fixation, the excess glutaraldehyde was removed, and samples were dehydrated through a graded ethanol series of 30%, 50%, 70%, 90%, and 100%, with each step lasting 30 minutes. Following dehydration, the samples were dried for 24 hours and sputter-coated with gold. Untreated mycelia served as controls. The samples were then observed and photographed under a scanning electron microscope (SEM, HITACHI Regulus 8100, Japan).
Preparation of RNA and transcriptome sequencing analysis
100 μL of 2 × 105/mL Pd spore suspension was inoculated onto SDA agar medium containing 2-nonanone and 2-undecanone, respectively. After incubating these with the control group for 21 days, the mycelia was harvested using sterile scrapers. Each group comprised four replicates. RNA was extracted from the Pd using the TRIzol Reagent (Life Technologies, California, USA) according to the manufacturer’s instructions. The concentration and purity of the extracted RNA was assessed using a Nanodrop 2000 spectrophotometer, and RNA integrity was verified through agarose gel electrophoresis. The samples were sent to Shanghai Majorbio Bio-Pharm Technology Co., Ltd. for library construction using the Illumina® Stranded mRNA Prep, Ligation from Illumina (San Diego, CA). Following quality control of the libraries, sequencing was performed on the Illumina NovaSeq X Plus platform. After obtaining the raw transcriptome data, quality control was performed, which included the removal of adapter sequences, filtering out low-quality reads (Q < 0.02), and excluding reads with more than 10% ambiguous base information [35]. Subsequently, Hisat2 (v2.1.0) was used to align the clean data with the reference genome (GCF_001641265.1) [36]. After assembly, RSEM (v1.3.3) was employed to calculate the number of reads per million (TPM) corresponding to each transcript to estimate gene expression levels [37]. Gene functional annotation information from the following databases were obtained: NR (v2022.10), Swiss-Prot (v2022.10), Pfam (v35.0), EggNOG (v2020.06), GO (v2022.0915), and KEGG (v2022.10).
Differential expression analysis
To investigate the differences in gene expression between the treatment groups and the control group, differential gene expression analysis was performed using DESeq2 (v1.24.0) [38]. P-values were corrected using the Benjamini and Hochberg method [39], with the criteria for significant differential expression defined as FDR < 0.05 & |log2FC| ≥ 1. Goatools (v0.6.5) was used to conduct GO enrichment analysis for the differentially expressed genes (DEGs) [40], and R (v4.1.0) for KEGG pathway enrichment analysis [41] (Table S2, Table S3). Fisher’s exact test was utilized, with multiple testing correction performed via the Benjamini and Hochberg method, and significant enrichment was determined with corrected P-values < 0.05.
To visualize the gene expression patterns, principal component analysis (PCA) was performed using the dudi.pca() function from the ade4 package in R [42]. Additionally, ANOSIM was conducted based on Bray-Curtis distances using the anosim() function from the vegan package to assess inter-group differences [43].
qRT-PCR analysis
Quantitative real-time reverse transcription-PCR (qRT-PCR) was used to randomly verify the transcription levels of eight genes. The extracted RNA was used as a template to reverse transcribe the RNA into cDNA, following the instructions provided in the MightyScript Plus First Strand cDNA Synthesis Kit (Sangon Biotech, Shanghai). The total reaction volume was 20 μL, comprising 1 μL of RNA template, 3 μL of 5X gDNA digester mix, and 11 μL RNase-free ddH2O. After incubation at 42°C for 5–15 minutes, 5 μL of 4X III M-MLV RT mix was added. The reaction conditions were set at 25°C for 5 minutes, 55°C for 15 minutes, and inactivated at 85°C for 5 minutes. After completing the reverse transcription, quantitative PCR (qPCR) was performed according to the instructions provided with the SGExcel FastSYBR qPCR Kit (Sangon Biotech, Shanghai). ACT1 was selected as the internal reference gene, and the primers used are listed in Table 1. The qPCR (total volume of 20 μL) contained the following components: 10 μL of 2X SGExcel FastSYBR Mixture, 0.4 μL of forward primer, 0.4 μL of reverse primer, 1 μL of cDNA template, 0.2 μL of 100X ROX Reference Dye and 8 μL of RNase-free ddH2O. The reaction conditions included enzyme activation with pre-denaturation at 95°C for 3 minutes, followed by denaturation at 95°C for 5 seconds, and annealing at 60°C for 20 seconds, for a total of 40 cycles. The 2−ΔΔCt method was used to calculated relative gene expression levels [44], with each reaction performed in triplicate.
Table 1.
Genes ID and primer sequences used in qRT-PCR.
Gene ID | Gene Description | Forward primer | Reverse primer |
---|---|---|---|
VC83_07844 | actin | AGTAGCAGCCCTCGTCATTG | GACAACACCGTGCTCGATTG |
VC83_04645 | Aconitate hydratase mitochondrial | GTTCGGCGGCATGGTTCTTG | GTTACGGTTGTAGGATGAGATGATGG |
VC83_01361 | Major allergen Asp f 2 | TCGCTGTCGTATTTCGCTCTTG | TGCTCCTCCTCAACTACCTTTCC |
VC83_00970 | Heat shock protein 78, mitochondrial | AGCACAACGCCTCAACAACTATG | CATCCAATCCAGTCTCGCCATC |
VC83_07327 | Probable glucan endo-1,3-β-glucosidase eglC | TCAAGTCCGCCAGGCTATCG | ACCGTTCACCCAGTCGTTCC |
VC83_01131 | 26S proteasome complex subunit | GAGACCGAAGTACCAGATAACAACAC | TTTGCTCGCCTTCTTTAGTTCCTC |
VC83_03131 | succinate dehydrogenase complex, subunit B | AGTCCATCAAGCCATACCTCCAG | TTCTTGCGGTCCTCTACACTCTG |
VC83_08709 | RNA binding protein snu13 | CGAGGACAAGAACGTGCCATAC | CGTTGGTGGTGATGCTGGTC |
VC83_01344 | catalase A | AGGTTGTTGACTGCTATGGTGTTG | CCTTCTCCAAGCCCTCCCTTATAC |
Results
Anti-Pd activity of ketone volatiles
2-Undecanone completely inhibited the growth of Pd at volumes of 100 μL (1.30 mg/mL), 50 μL (0.64 mg/mL), and 10 μL (0.13 mg/mL). Similarly, 2-nonanone completely inhibited Pd at 100 μL (1.29 mg/mL) and 50 μL (0.64 mg/mL), while at 10 μL (0.13 mg/mL), it suppressed most Pd growth (Figure 1). Compared to 2-nonanone, 2-undecanone exhibited a stronger inhibitory effect. We subsequently determined that the MIC of 2-nonanone against Pd was 135.41 μg/mL, with an IC50 of 38.69 μg/mL. For 2-undecanone, the MIC was 25.94 μg/mL and the IC50 was 6.49 μg/mL.
Figure 1.
Effect of different concentrations of 2-nonanone and 2-undecanone on the inhibition of pd. (a) Control group; (b) Experimental group.
Ketone volatiles affect morphological and structural changes in Pd
In the control group, Pd hyphae appeared straight and uniform, characterized by a smooth and full appearance, glossy rounded tips, and regular, well-defined septation, showing no visible damage. In contrast, the 2-undecanone group exhibited irregular morphology, including surface ruptures, collapsed and shrunken hyphae, rough deformities, and breakage. The 2-nonanone group also displayed significant hyphal shrinkage and bending (Figure 2).
Figure 2.
Morphology of Pd mycelia observed at 10000x under SEM. (a) Untreated; (b) Treated with IC50 of 2-undecanone; (c) Treated with IC50 of 2-nonanone.
Overall transcriptional response of Pd to ketone volatiles
RNA sequencing of 12 Pd samples yielded a total of 627.47 million reads, with an average of 52.29 million reads per sample (ranging from 44.68 to 63.95 million reads). After quality control, 621.09 million reads were retained, averaging 51.76 million reads per sample (ranging from 44.17 to 63.37 million reads). The clean data aligned to the reference genome showed a mapping rate ranging from 90.82% to 94.3% across all samples. Additionally, the Q20 values exceeded 98%, and the sequencing error rate was only 0.01%, indicating high sequencing quality suitable for downstream analyses (Table S1).
PCA was conducted to compare gene expression levels between the treatment groups with the control group. Both the 2-undecanone and 2-nonanone groups clustered separately from the control group (2-undecanone vs. control: R2 = 0.700, Padj = 0.038; 2-nonanone vs. control: R2 = 0.444, Padj = 0.038, Figure 3(a)).
Figure 3.
Transcriptomic analysis of Pd gene expression following treatment with ketones. (a) PCA comparing the 2-nonanone and 2-undecanone groups to the control group; (b) Volcano plot of DEGs in the 2-undecanone group; (c) Volcano plot of DEGs in the 2-nonanone group.
Using DESeq2 for differential expression analysis between the treatment groups and the control group, a total of 1,603 DEGs were identified in the 2-undecanone group, of which 915 were significantly upregulated and 688 were significantly downregulated (Figure 3(b)). In the 2-nonanone group, 1,349 DEGs were identified, with 714 significantly upregulated and 635 significantly downregulated (Figure 3(c)). GO enrichment analysis of DEGs revealed that the 2-undecanone group were enriched with 26 significantly downregulated pathways, including ribosome biogenesis, RNA processing, and RNA helicase activity, while only one pathway was significantly upregulated. In contrast, the 2-nonanone group exhibited enrichment in a greater number of pathways, with 30 significantly downregulated pathways, such as rRNA processing, protein kinase binding, and regulation of protein serine/threonine kinase activity; 15 of these pathways overlapped with those in the 2-undecanone group (Figure 4(b)). Additionally, 41 significantly upregulated pathways were identified in the 2-nonanone group, including DNA replication initiation, chromosome organization, cellular response to DNA damage stimulus, and polyketide metabolic process (Figure 4(a)). KEGG enrichment analysis of the DEGs revealed that both treatment groups showed significant downregulation in pathways related to ribosome biogenesis. Notably, the 2-nonanone group exhibited significant upregulation in pathways involved in DNA damage repair and replication, such as mismatch repair and base excision repair.
Figure 4.
Significantly enriched GO pathways in Pd treatment with VOC. (a) Significantly upregulated pathways in the 2-undecanone and 2-nonanone groups; (b) Significantly downregulated pathways in the 2-undecanone and 2-nonanone groups.
Figure 4.
(Continued).
Functional analysis of differentially expressed genes
Cell walls and membranes
The cell wall and membrane of Pd are in direct contact with VOCs, leading to significant changes in the expression of genes involved in regulating the components of these structures. Following treatment with ketone, genes encoding α-1,3-glucan synthase, including AGS1_2, AGS1_3, AGS1_4, and AGS1_5, as well as the gene VC83_02184, which is involved in chitin biosynthesis, were significantly upregulated. In the 2-nonanone group, CHS2_1, which encodes chitin synthase 2, also showed significant upregulation. Additionally, several genes associated with cell wall remodeling exhibited significant differential expression in response to ketone exposure. Additionally, treatment with 2-undecanone suppressed the expression of Pd key genes involved in ergosterol biosynthesis, ERG11 and ERG6. The expression of several genes related to unsaturated fatty acid biosynthesis and fatty acid degradation was significantly downregulated following treatment with ketones, while genes associated with fatty acid biosynthesis were significantly upregulated (Table S4).
Genetic information processing and stress response
We found that some DEGs associated with ribosome biosynthesis were downregulated following ketone stimulation compared to the controls. The ribose moiety 2’-O-methylation and pseudouridylation modifications in the rRNA precursor scaffold were suppressed. Genes involved in pre-rRNA processing, ribosomal subunit synthesis, and regulatory factors were significantly downregulated under VOC treatments. For instance, the gene encoding mRNA turnover and ribosome assembly protein (MRT4) was downregulated by 4.67-fold and 13.31-fold following treatments with 2-nonanone and 2-undecanone, respectively. Additionally, the treatment with 2-nonanone led to significant upregulation of numerous genes involved in DNA damage repair, such as those encoding DNA repair protein RAD52 and replication protein A, as well as genes associated with DNA catalytic activity, including DNA ligases and DNA polymerases (Figure 5).
Figure 5.
Schematic diagram of DNA damage repair mechanisms. The genes encoding the proteins or enzymes labeled in the figure are all significantly upregulated.
Spore development and mitochondrial function
We observed that the homolog of the spore development regulator gene RYP2 from Ajellomyces capsulatus in Pd exhibited downregulation by 3.26-fold and 3.40-fold after treatment with 2-nonanone and 2-undecanone, respectively. Additionally, the VC83_07479, which is a homolog of the conidiophore development regulator-encoding gene abaA from Penicillium rubens, was also downregulated 5.55-fold after 2-nonanone treatment.
After ketone treatment, significant differences were observed in the expression of genes related to mitochondrial function. For instance, under 2-undecanone treatment, genes encoding key enzymes in the tricarboxylic acid (TCA) cycle, such as aconitase and succinate dehydrogenase, were significantly downregulated. Conversely, following treatment with 2-nonanone, the ATP hydrolysis pathway was significantly upregulated, indicating an acceleration or enhancement of the ATP hydrolysis process (Table 2).
Table 2.
Significant expression of some genes related to the regulation of spore development and the energy metabolism.
Gene ID | Full Name | Pd | 2-Nonanone (log2FC) | 2-Undecanone (log2FC) |
---|---|---|---|---|
Spore Development | ||||
VC83_07417 | Spore development regulator RYP2 | 6.35 | 1.95 (−1.33) | 1.87 (−1.17) |
VC83_07479 | Conidiophore development regulator abaA | 14.47 | 2.61 (−2.12) | 6.53 (−0.62) |
Energy Metabolism | ||||
VC83_04645 | Aconitate hydratase mitochondrial | 506.11 | 264.78 (−0.56) | 134.35 (−1.26) |
VC83_03131 | succinate dehydrogenase complex, subunit B | 168.83 | 106.37 (−0.34) | 37.39 (−1.54) |
VC83_04015 | aconitate hydratase | 10.43 | 11.23 (0.46) | 1.57 (−2.14) |
VC83_08554 | ornithine carbamoyltransferase | 54.38 | 48.71 (0.18) | 17.55 (−1.00) |
VC83_06943 | isocitrate dehydrogenase | 8.04 | 1.01 (−2.63) | 1.42 (−1.88) |
VC83_04410 | Succinyl-CoA synthetase subunit beta | 143.57 | 197.76 (0.83) | 44.29 (−1.02) |
VC83_05013 | pyruvate carboxylase | 16.05 | 27.65 (1.18) | 8.60 (−0.22) |
VC83_04411 | citrate synthase | 171.03 | 309.16 (1.22) | 75.06 (−0.51) |
VC83_09290 | Phosphoenolpyruvate Carboxylase | 645.83 | 1184.39 (1.28) | 575.48 (0.55) |
Virulence
We examined 50 genes presumed to be associated with Pd virulence, as highlighted by Reeder et al. (2017) [45], and identified differential expression in 26 of these genes (Table 3). Among these, most genes encoding members of the subtilisin family showed no differential expression. However, the Tripeptidyl-peptidase sed2 gene, which is involved in extracellular protein degradation, was significantly downregulated. Additionally, the VC83_01361 gene, a homolog of the major allergen Aspf2 from Aspergillus fumigatus, which encodes other proteases in Pd, also exhibited lower expression levels following ketone treatment. Furthermore, some genes related to the heat shock response in Pd were found to be overexpressed.
Table 3.
Among the genes hypothesized by Reeder et al. (2017) [42] to be associated with pd virulence, 26 were affected by ketone.
Gene ID | Full Name | Pd | 2-Nonanone (log2FC) | 2-Undecanone (log2FC) |
---|---|---|---|---|
Secreted Enzymes | ||||
VC83_01361 | Major allergen Asp f 2 | 267.03 | 81.72 (−1.42) | 134.54 (−0.35) |
Heat Shock Response | ||||
VC83_02553 | 30 kDa heat shock protein | 3141.77 | 5453.56 (1.16) | 18,426.07 (3.48) |
VC83_00970 | Heat shock protein 78, mitochondrial | 259.14 | 572.19 (1.56) | 1102.43 (2.94) |
VC83_00522 | Protein psi1 | 461.22 | 487.67 (0.34) | 1305.21 (2.39) |
VC83_01964 | Heat shock protein hsp88 | 266.17 | 334.44 (0.74) | 501.57 (1.73) |
VC83_08137 | Heat shock protein hsp98 | 1148.11 | 1665.46 (0.94) | 2333.34 (1.83) |
VC83_01046 | Heat shock 70 kDa protein 2 | 5572.21 | 4236.26 (0.00) | 7249.80 (1.17) |
VC83_02466 | Uncharacterized protein C1711.08 | 433.16 | 502.17 (0.59) | 1043.17 (2.07) |
VC83_08187 | Heat shock protein 82 | 1657.93 | 2495.59 (1.01) | 4095.33 (2.12) |
VC83_06435 | Heat shock protein sti1 homolog | 446.84 | 753.70 (1.15) | 1448.95 (2.50) |
Ion Homeostasis | ||||
VC83_01360 | Zinc-regulated transporter 1 | 117.74 | 22.52 (−2.07) | 76.27 (0.01) |
VC83_07026 | Calcium-transporting ATPase 3 | 52.38 | 94.21 (1.25) | 187.96 (2.58) |
VC83_06862 | Calcium-transporting ATPase 3 | 8.23 | 9.05 (0.52) | 21.56 (2.10) |
VC83_00736 | Na(+)/H(+) antiporter 1 | 6.88 | 11.60 (1.13) | 7.80 (0.78) |
Cell Wall Remodeling | ||||
VC83_03500 | Spherulin-1A | 80.72 | 47.38 (−0.40) | 163.43 (1.58) |
VC83_07327 | Probable glucan endo-1,3-β-glucosidase eglC | 482.77 | 913.09 (1.29) | 1265.81 (2.03) |
VC83_07145 | Mannan endo-1,6-α-mannosidase DCW1 | 33.73 | 28.91 (0.14) | 73.92 (1.81) |
VC83_09076 | Glucan 1,3-β-glucosidase | 174.84 | 50.09 (−1.43) | 34.24 (1.66) |
VC83_00261 | Mannan endo-1,6-α-mannosidase DFG5 | 27.91 | 30.36 (0.47) | 6.02 (−1.58) |
VC83_08448 | Protein SUR7 | 332.59 | 97.52 (−1.44) | 417.24 (0.88) |
VC83_01650 | Mannan endo-1,6-α-mannosidase DCW1 | 49.28 | 9.94 (−1.99) | 10.33 (−1.68) |
Other | ||||
VC83_06039 | Putative heme-binding peroxidase | 238.08 | 92.18 (−1.06) | 123.41 (−0.33) |
VC83_00225 | Putative cryptochrome DASH, mitochondrial | 9.06 | 9.59 (0.47) | 14.17 (1.30) |
VC83_01624 | Leptomycin B resistance protein pmd1 | 28.72 | 63.52 (1.56) | 37.33 (1.14) |
VC83_08633 | Threonine aspartase 1 | 2.69 | 2.63(0.35) | 6.71 (2.07) |
VC83_02181 | Tripeptidyl-peptidase sed2 | 1.52 | 4.09 (1.83) | 0.29 (−1.71) |
qRT-PCR validation of DEGs
In eight randomly selected DEGs, genes related to cell wall (VC83_07327), heat shock response (VC83_00970), and DNA repair (VC83_01131) were up-regulated, and genes associated with ribosomes (VC83_08709), energy metabolism (VC83_04645, VC83_03131), oxidative stress (VC83_01344), and virulence (VC83_01361) were down-regulated (Figure 6). The results demonstrated expression trends consistent with the RNA-seq data, confirming the accuracy and reliability of the transcriptomic analysis.
Figure 6.
Relative gene expression levels of selected genes in control and experimental groups were compared by qRT-PCR and RNA-seq.
Discussion
Transcriptome sequencing, as an effective tool for exploring the interactions between antifungal agents and fungal pathogens [11,46], provides deeper insights into the VOCs that inhibit Pd mechanisms. Previous studies have demonstrated that the primary antifungal mechanism of mVOCs involves disrupting cell wall and membrane structures, leading to cell lysis, leakage of intracellular contents, and the induction of oxidative stress [10]. This antifungal mechanism is generally multilayered, involving genetic information processing, cell development, energy metabolism, and more [47,48]. Similarly, in this study, we found that ketones exerted multifaceted effects on Pd, influencing DNA integrity, cell wall and membrane composition, as well as ribosomal biogenesis and energy metabolism to varying degrees (Figure 7). While 2-nonanone exhibited a higher MIC compared to 2-undecanone, the latter significantly caused more severe mycelial breakage. These findings align with the idea that longer carbon chains do not necessarily reduce antifungal activity, which contradicts previous studies [49]. However, the GO enrichment analysis revealed that 2-nonanone affected a wider array of genes related to fungal growth and metabolism compared to 2-undecanone, despite a larger number of DEGs being observed under 2-undecanone treatment. This suggests that the activity of ketones might involve more complex biological mechanisms than can be captured by MIC alone. It is possible that 2-nonanone impacts a broader range of pathways, indicating a more complex interaction than MIC alone can account for.
Figure 7.
Schematic diagram illustrating the multifaceted effects of ketones on Pd from various perspectives.
The cell wall and membrane serve as crucial protective barriers for fungal pathogens [50,51]. As a dynamic structure, the cell wall is essential for cellular vitality and the maintaining the morphological integrity of fungi. Due to their unique composition, the immune systems of many plants and animals have evolved to recognize conserved components of fungal cell walls, such as β-(1,3) glucans and chitin [52]. However, the presence of α-(1,3) glucans on the outer wall of pathogenic fungi often hinders the immune recognition of underlying β-(1,3) glucans by receptor proteins like C-type lectin Dectin-1 [53]. Our findings indicate that the expression of α-1,3-glucan synthase expression was upregulated following treatment with 2-nonanone and 2-undecanone, suggesting that Pd initiates a stress response in response to ketone stimulation. Cell wall polysaccharides, with rhamnose as a major component, are central to the toxic effects of Pd by promoting biofilm formation, shielding immune recognition, and inhibiting host inflammatory responses [54]. However, changes in the gene expression of key enzymes involved in rhamnose synthesis were not observed in this study. Similar to how VOCs produced by Bacillus subtilis CF-3 can damage the cell wall integrity of Colletotrichum gloeosporioides [47], our SEM observations revealed that 2-nonanone and 2-undecanone caused mycelial damage and degradation. This may explain differential expression of various genes in Pd related to cell wall components. Pd appears to counteract cellular damage induced by 2-undecanone and 2-nonanone through the differential expression of genes encoding cell wall components, leading to substantial changes in cell wall structure.
The cell membrane performs various critical functions and possesses essential characteristics [55]. Ergosterol, a key component of fungal cell membranes, is also a major target for antifungal drugs [56]. Many antifungal agents inhibit fungal growth by disrupting ergosterol biosynthesis, primarily by suppressing the expression of the ERG11 and ERG6 genes, which is a key mechanism of azole drugs in treating fungal infections [57]. After treatment with 2-undecanone, we found that ERG11 and ERG6 expression were downregulated by 3.71-fold and 3.20-fold, respectively, while ERG28 expression was reduced by 2.44-fold following treatment with 2-nonanone. This downregulation suggests that VOCs may induce cellular membrane damage by altering the expression of genes related to membrane component. The composition and content of lipids are also crucial for maintaining cell membrane integrity. A deficiency in unsaturated fatty acids or an excess of saturated fatty acids in the cell membrane can reduce membrane fluidity, increase rigidity, and ultimately lead to membrane rupture [58,59]. Following the treatment of Pd with ketones, we observed several genes associated with unsaturated fatty acid biosynthesis and fatty acid degradation were significantly downregulated, while genes related to fatty acid biosynthesis were upregulated. These genes play an essential role in maintaining membrane fluidity, indicating that the fluidity and integrity of the cell membrane may have been altered.
Energy metabolism is fundamental to the survival and reproduction of pathogenic fungi. Mitochondria generate ATP through the TCA cycle, providing essential energy for the cell [60]. This makes mitochondria a potential target for antifungal drugs, as any dysfunction can lead to cell death [61]. Studies have shown that VOCs produced by Pseudomonas fluorescens reduce the activity of malate dehydrogenase and succinate dehydrogenase in Botrytis cinerea, directly impacting the efficiency of the pathogen’s TCA cycle [11]. In our study, we found that 2-undecanone among the VOCs inhibits key catalytic enzymes of the TCA cycle, suggesting that it may disrupt Pd respiration and energy metabolism. Consistent with previous studies [62], our findings also revealed that ketones inhibit fungal spore development and formation. Pd treated with these ketones exhibited delayed germination compared to the control group. Additionally, these ketones significantly affect the virulence genes of Pd. Although PdSP1 [63], regarded as a major component of the Pd secretome, was not notably impacted [64], other affected proteases may serve as better targets for preventing fungal colonization [45]. Research indicates that heat shock proteins are involved in fungal morphogenesis, performing functions such as signaling, catalysis, and ATPase activity, and play a crucial role in defending against external stress [65–68]. Besides heat stress, various physical or chemical stimuli can also trigger the expression of heat shock proteins, aiding in the refolding of misfolded proteins to restore their functional structure [69].
Ribosomes are critical organelles responsible for protein synthesis within cells [70]. Consistent with our findings, genes encoding ribosome biogenesis typically downregulate their expression in response to biotic or abiotic stress [71]. Functional enrichment analysis revealed that ketones primarily disrupt Pd through pathways related to genetic information processing. In particular, 36 DEGs associated with ribosome biogenesis in eukaryotes were downregulated in the 2-undecanone group, while 26 DEGs were downregulated in the 2-nonanone group. Notably, key internal rRNA modifications, such as 2’-O-methylation and pseudouridylation, were significantly inhibited by 2-undecanone. The expression of genes encoding essential ribosome assembly components, including Nop1 (which catalyzes methyl transferase activity), SNU13 (involved in U3 snoRNP complex assembly by binding to snoRNA), NOP56, NOP58, and others related to ribosome assembly, was also downregulated. Furthermore, we observed that 2’-O-methylation was inhibited in the 2-nonanone group, suggesting that both 2-nonanone and 2-undecanone disrupt RNA stability and interfere with ribosome assembly [72], potentially impairing Pd‘s protein synthesis capacity and efficiency. Recent studies have reported that various VOCs can cause DNA damage in fungi. For instance, Fourier-transform infrared (FTIR) spectroscopy analysis has revealed that 2-ethylhexanol induces alterations in the integrity of Fusarium oxysporum DNA [73]. Notably, sequencing results indicate that 2-nonanone appears to directly damage the DNA of Pd, leading to the upregulation of DNA damage repair mechanisms, including mismatch repair, base excision repair, nucleotide excision repair, and homologous recombination. Specifically, genes encoding MutS family proteins that recognize mismatches, DNA ligase I, DNA polymerases δ or ε which participate in long patch base excision repair, as well as Flap endonuclease 1 (FEN1), are upregulated. Additionally, the formation of Rad51 filaments in homologous recombination repair [74] is promoted. It is well known that VOCs can trigger the intracellular accumulation of reactive oxygen species (ROS), and an excessive amount of ROS can disrupt the redox state of fungal hyphae by damaging detoxification mechanisms [75,76]. For instance, linalool induces ROS accumulation and reduces the activity of many antioxidant enzymes in Fusarium oxysporum, ultimately leading to cell apoptosis [77]. In the 2-undecanone group, the expression of the CAT1, which encodes catalase (katE), was significantly downregulated, suggesting that 2-undecanone may impair the activity of antioxidant enzymes in Pd, thereby inducing an imbalance in oxidative stress regulation.
Although these ketones have shown potential in inhibiting Pd, the experiments were conducted using SDA, a fungal growth medium that may not accurately reflect conditions on bat skin or in cave environments [78]. Therefore, further pre-experiments are necessary to assess the effectiveness and safety of these findings in real-world scenarios. As noted by Gabriel et al. [79], the control of Pd with VOCs should be prioritized in North America, where it causes significant bat mortality, rather than in Eurasia, where the threat of Pd is less severe. Before applying these ketones directly to bats in North America, it is critical to determine whether they retain their inhibitory effects when fungus penetrates deeper into bat tissues. Environmental factors such as cave temperature and humidity must be carefully considered to ensure that VOCs diffuse properly and reach the desired concentration levels in bat roosting caves. Maintaining the lowest effective concentration is essential to minimize potential negative impacts on the cave ecosystem. Furthermore, continuous monitoring of VOCs concentrations should be carried out to ensure both safety and efficacy. While 2-nonanone and 2-undecanone exhibit low toxicity to vertebrates, they also possess insect-repellent and germicidal properties [80–82]. To minimize the impact on non-target organisms, localized spraying methods may be considered.
Conclusion
We used RNA sequencing analysis to elucidate the antifungal mechanisms of action for the two ketones, revealing the biological potential of 2-undecanone and 2-nonanone in managing WNS in bats. Our transcriptomic analysis indicates that these ketones significantly inhibit the spore germination of Pd and cause damage to its hyphal structures. Specially, they induce lesions in the cell wall and membrane of Pd, disrupting its stability by affecting rRNA modifications and interfering with ribosome assembly. Additionally, we observed that 2-undecanone affects enzymes involved in the TCA cycle, thereby disrupting energy metabolism by interfering with critical metabolic pathways in aerobic organisms. Furthermore, 2-nonanone directly damages the DNA of Pd, prompting the activation of DNA damage repair mechanisms in response to stress. This study provides a theoretical basis for exploring novel antifungal strategies targeting Pd, suggesting that ketones may serve as potential in vitro defense and control tools, laying the groundwork for the subsequent development of efficient fumigants. Future studies are needed to evaluate the efficacy, safety, and effects of ketones on host-pathogen interactions in complex biological environments, including bat infection models and field simulations.
Supplementary Material
Acknowledgment
We thank Figdraw for the assistance in creating drawing element.
Funding Statement
This work was supported by the National Natural Science Foundation of China [grant numbers 32171525 and 31961123001], Jilin Provincial Natural Science Foundation [grant number 20220101291JC] and Jilin Provincial Department of Education [grant number JJKH20241421KJ].
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
All raw sequence data have been deposited in the NCBI (PRJNA1177599). The datasets generated and analyzed during the current study are available in the Figshare repository (available at: https://doi.org/10.6084/m9.figshare.27367188).
Supplementary Information
Supplemental data for this article can be accessed online at https://doi.org/10.1080/21505594.2025.2569627
References
- [1].Lemfack MC, Gohlke BO, Toguem SMT, et al. mVOC 2.0: a database of microbial volatiles. Nucleic Acids Res. 2018;46(D1):D1261–D1265. doi: 10.1093/nar/gkx1016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Schulz S, Dickschat JS.. Bacterial volatiles: the smell of small organisms. Nat Prod Rep. 2007;24(4):814–16. doi: 10.1039/b507392h [DOI] [PubMed] [Google Scholar]
- [3].Kanchiswamy CN, Malnoy M, Maffei ME. Chemical diversity of microbial volatiles and their potential for plant growth and productivity. Front Plant Sci. 2015;6:151. doi: 10.3389/fpls.2015.00151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Garbeva P, Weisskopf L. Airborne medicine: bacterial volatiles and their influence on plant health. New Phytol. 2020;226(1):32–43. doi: 10.1111/nph.16282 [DOI] [PubMed] [Google Scholar]
- [5].Groenhagen U, Baumgartner R, Bailly A, et al. Production of bioactive volatiles by different Burkholderia ambifaria strains. J Chem Ecol. 2013;39(7):892–906. doi: 10.1007/s10886-013-0315-y [DOI] [PubMed] [Google Scholar]
- [6].Lee B, Farag MA, Park HB, et al. Induced resistance by a long-chain bacterial volatile: elicitation of plant systemic defense by a C13 volatile produced by Paenibacillus polymyxa. PLOS ONE. 2012;7(11):e48744. doi: 10.1371/journal.pone.0048744 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Naik H, Chandarana KA, Gamit HA, et al. Microbial volatile compounds: prospects for fungal phytopathogens management, mechanisms and challenges. J Crop Health. 2024;76(2):371–383. doi: 10.1007/s10343-023-00951-z [DOI] [Google Scholar]
- [8].Almeida OAC, de Araujo NO, Dias BHS, et al. The power of the smallest: the inhibitory activity of microbial volatile organic compounds against phytopathogens. Front Microbiol. 2023;13:951130. doi: 10.3389/fmicb.2022.951130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Fisher MC, Henk DA, Briggs CJ, et al. Emerging fungal threats to animal, plant and ecosystem health. Nature. 2012;484(7393):186–194. doi: 10.1038/nature10947 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Zhao X, Zhou J, Tian R, et al. Microbial volatile organic compounds: antifungal mechanisms, applications, and challenges. Front Microbiol. 2022;13:922450. doi: 10.3389/fmicb.2022.922450 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Yue Y, Wang Z, Zhong T, et al. Antifungal mechanisms of volatile organic compounds produced by Pseudomonas fluorescens ZX as biological fumigants against Botrytis cinerea. Microbiol Res. 2023;267:127253. doi: 10.1016/j.micres.2022.127253 [DOI] [PubMed] [Google Scholar]
- [12].Freitas CSA, Maciel LF, Corrêa dos Santos RA, et al. Bacterial volatile organic compounds induce adverse ultrastructural changes and DNA damage to the sugarcane pathogenic fungus Thielaviopsis ethacetica. Environ Microbiol. 2022;24(3):1430–1453. doi: 10.1111/1462-2920.15876 [DOI] [PubMed] [Google Scholar]
- [13].Giorgio A, De Stradis A, Lo Cantore P, et al. Biocide effects of volatile organic compounds produced by potential biocontrol rhizobacteria on sclerotinia sclerotiorum. Front Microbiol. 2015;6:1056. doi: 10.3389/fmicb.2015.01056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Zhou M, Li P, Wu S, et al. Bacillus subtilis CF-3 volatile organic compounds inhibit Monilinia fructicola growth in peach fruit. Front Microbiol. 2019;10:1804. doi: 10.3389/fmicb.2019.01804 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Guevara-Avendaño E, Bejarano-Bolívar AA, Kiel-Martínez A-L, et al. Avocado rhizobacteria emit volatile organic compounds with antifungal activity against fusarium solani, Fusarium sp. associated with Kuroshio shot hole borer, and colletotrichum gloeosporioides. Microbiol Res. 2019;219:74–83. doi: 10.1016/j.micres.2018.11.009 [DOI] [PubMed] [Google Scholar]
- [16].Medina-Romero YM, Roque-Flores G, Macías-Rubalcava ML. Volatile organic compounds from endophytic fungi as innovative postharvest control of fusarium oxysporum in cherry tomato fruits. Appl Microbiol Biotechnol. 2017;101(22):8209–8222. doi: 10.1007/s00253-017-8542-8 [DOI] [PubMed] [Google Scholar]
- [17].Chaurasia B, Pandey A, Palni LMS, et al. Diffusible and volatile compounds produced by an antagonistic Bacillus subtilis strain cause structural deformations in pathogenic fungi in vitro. Microbiol Res. 2005;160(1):75–81. doi: 10.1016/j.micres.2004.09.013 [DOI] [PubMed] [Google Scholar]
- [18].Peñuelas J, Asensio D, Tholl D, et al. Biogenic volatile emissions from the soil. Plant Cell Environ. 2014;37(8):1866–1891. doi: 10.1111/pce.12340 [DOI] [PubMed] [Google Scholar]
- [19].Popova AA, Koksharova OA, Lipasova VA, et al. Inhibitory and toxic effects of volatiles emitted by strains of Pseudomonas and Serratia on growth and survival of selected microorganisms, Caenorhabditis elegans, and Drosophila melanogaster. Biomed Res Int. 2014;2014(1):1–11. doi: 10.1155/2014/125704 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Che J, Liu B, Liu G, et al. Volatile organic compounds produced by Lysinibacillus sp. FJAT-4748 possess antifungal activity against Colletotrichum acutatum. Biocontrol Sci Technol. 2017;27(12):1–14. doi: 10.1080/09583157.2017.1397600 [DOI] [Google Scholar]
- [21].Zong Y, Zhao Y, Liu Y, et al. Study on the inhibitory effect of Bacillus velezensis on Fusarium graminearum. J Nucl Agric Sci. 2018;32(2):310–317. doi: 10.11869/j.issn.100-8551.2018.02.0310 [DOI] [Google Scholar]
- [22].Frick WF, Pollock JF, Hicks AC, et al. An emerging disease causes regional population collapse of a common North American bat species. Science. 2010;329(5992):679–682. doi: 10.1126/science.1188594 [DOI] [PubMed] [Google Scholar]
- [23].Cheng TL, Reichard JD, Coleman JTH, et al. The scope and severity of white-nose syndrome on hibernating bats in North America. Conserv Biol. 2021;35(5):1586–1597. doi: 10.1111/cobi.13739 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Hoyt JR, Kilpatrick AM, Langwig KE. Ecology and impacts of white-nose syndrome on bats. Nat Rev Microbiol. 2021;19(3):196–210. doi: 10.1038/s41579-020-00493-5 [DOI] [PubMed] [Google Scholar]
- [25].Hoyt JR, Langwig KE, Sun KP, et al. Environmental reservoir dynamics predict global infection patterns and population impacts for the fungal disease white-nose syndrome. Proc Natl Acad Sci USA. 2020;117(13):7255–7262. doi: 10.1073/pnas.1914794117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Wibbelt G, Kurth A, Hellmann D, et al. White-nose syndrome fungus (Geomyces destructans) in bats, Europe. Emerg Infect Dis. 2010;16(8):1237–1243. doi: 10.3201/eid1608.100002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Hoyt JR, Langwig KE, Sun KP, et al. Host persistence or extinction from emerging infectious disease: insights from white-nose syndrome in endemic and invading regions. Proc R Soc B-Biol Sci. 2016;283(1826):20152861. doi: 10.1098/rspb.2015.2861 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Hoyt JR, Cheng TL, Langwig KE, et al. Bacteria isolated from bats inhibit the growth of Pseudogymnoascus destructans, the causative agent of white-nose syndrome. PLOS ONE. 2015;10(4):e0121329. doi: 10.1371/journal.pone.0121329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Micalizzi EW, Smith ML. Volatile organic compounds kill the white-nose syndrome fungus, Pseudogymnoascus destructans, in hibernaculum sediment. Can J Microbiol. 2020;66(10):593–599. doi: 10.1139/cjm-2020-0071 [DOI] [PubMed] [Google Scholar]
- [30].Li ZL, Li AQ, Hoyt JR, et al. Activity of bacteria isolated from bats against Pseudogymnoascus destructans in China. Microb Biotechnol. 2021;15(2):469–481.doi: 10.1111/1751-7915.13765 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Padhi S, Dias I, Korn VL, et al. Pseudogymnoascus destructans: causative agent of white-nose syndrome in bats is inhibited by safe volatile organic compounds. J Fungi. 2018;4(2):48. doi: 10.3390/jof4020048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [32].Korn VL, Pennerman KK, Padhi S, et al. Trans-2-hexenal downregulates several pathogenicity genes of Pseudogymnoascus destructans, the causative agent of white-nose syndrome in bats. J Ind Microbiol Biotechnol. 2021;48(9–10):9–10. doi: 10.1093/jimb/kuab060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Lu Y, Ren H, Li Z, et al. Microbiota diversity and anti-Pseudogymnoascus destructans bacteria isolated from Myotis pilosus skin during late hibernation. Appl Environ Microbiol. 2024;90(8):e00693–00624. doi: 10.1128/aem.00693-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Schindelin J, Arganda-Carreras I, Frise E, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676–682. doi: 10.1038/nmeth.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Chen S, Zhou Y, Chen Y, et al. Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018;34(17):i884–i890. doi: 10.1093/bioinformatics/bty560 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Kim D, Langmead B, Salzberg SL. Hisat: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12(4):357–360. doi: 10.1038/nmeth.3317 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Li B, Dewey CN. Rsem: accurate transcript quantification from rna-seq data with or without a reference genome. BMC Bioinf. 2011;12(1):323. doi: 10.1186/1471-2105-12-323 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [38].Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550. doi: 10.1186/s13059-014-0550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodological). 1995;57(1):289–300. doi: 10.1111/j.2517-6161.1995.tb02031.x [DOI] [Google Scholar]
- [40].Harris MA, Clark J, Ireland A. The gene ontology (GO) database and informatics resource. Nucleic Acids Res. 2004;32(Database issue):D258–261. doi: 10.1093/nar/gkh036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Kanehisa M. Kegg: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28(1):27–30. doi: 10.1093/nar/28.1.27 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Team RC. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2021. [Google Scholar]
- [43].Oksanen J, Simpson G, Blanchet F, et al. Vegan: community ecology package. R. Package Version 2.6–4. 2022. [Google Scholar]
- [44].Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-delta delta C(T)) method. Methods. 2001;25(4):402–408. doi: 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
- [45].Reeder SM, Palmer JM, Prokkola JM, et al. Pseudogymnoascus destructans transcriptome changes during white-nose syndrome infections. Virulence. 2017;8(8):1695–1707. doi: 10.1080/21505594.2017.1342910 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [46].Tian D, Song X, Li C, et al. Antifungal mechanism of bacillus amyloliquefaciens strain GKT04 against Fusarium wilt revealed using genomic and transcriptomic analyses. Microbiologyopen. 2021;10(3):e1192. doi: 10.1002/mbo3.1192 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [47].Wang K, Qin Z, Wu S, et al. Antifungal mechanism of volatile organic compounds produced by Bacillus subtilis CF-3 on Colletotrichum gloeosporioides assessed using omics technology. J Agric Food Chem. 2021;69(17):5267–5278. doi: 10.1021/acs.jafc.1c00640 [DOI] [PubMed] [Google Scholar]
- [48].Fialho MB, de Andrade A, Bonatto JM, et al. Proteomic response of the phytopathogen phyllosticta citricarpa to antimicrobial volatile organic compounds from saccharomyces cerevisiae. Microbiol Res. 2016;183:1–7. doi: 10.1016/j.micres.2015.11.002 [DOI] [PubMed] [Google Scholar]
- [49].Yuan J, Raza W, Shen Q, et al. Antifungal activity of Bacillus amyloliquefaciens NJN-6 volatile compounds against Fusarium oxysporum f. sp. cubense Appl Environ Microbiol. 2012;78(16):5942–5944. doi: 10.1128/AEM.01357-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Gow N, Lenardon M. Architecture of the dynamic fungal cell wall. Nat Rev Microbiol. 2022;21(4):248–259. doi: 10.1038/s41579-022-00796-9 [DOI] [PubMed] [Google Scholar]
- [51].Sant DG, Tupe SG, Ramana CV, et al. Fungal cell membrane—promising drug target for antifungal therapy. J Appl Microbiol. 2016;121(6):1498–1510. doi: 10.1111/jam.133011 [DOI] [PubMed] [Google Scholar]
- [52].Gow Neil AR, Latge J-P, Munro Carol A. The fungal cell wall: structure, biosynthesis, and function. Microbiol Spectr. 2017;5(3):25. doi: 10.1128/microbiolspec.FUNK-0035-2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Rappleye CA, Eissenberg LG, Goldman WE. Histoplasma capsulatum α-(1,3)-glucan blocks innate immune recognition by the β-glucan receptor. Proc Natl Acad Sci USA. 2007;104(4):1366–1370. doi: 10.1073/pnas.0609848104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [54].Isidoro-Ayza M. The skin I live in. Pathogenesis of white-nose syndrome of bats [Ph.D.]. United States – (WI): The University of Wisconsin - Madison; 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [55].Sant DG, Tupe SG, Ramana CV, et al. Fungal cell membrane-promising drug target for antifungal therapy. J Appl Microbiol. 2016;121(6):1498–1510. doi: 10.1111/jam.13301 [DOI] [PubMed] [Google Scholar]
- [56].Jordá T, Puig S. Regulation of ergosterol biosynthesis in saccharomyces cerevisiae. Genes (Basel). 2020;11(7):795. doi: 10.3390/genes11070795 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [57].Ghannoum MA, Rice LB. Antifungal agents: mode of action, mechanisms of resistance, and correlation of these mechanisms with bacterial resistance. Clin Microbiol Rev. 1999;12(4):501–517. doi: 10.1128/CMR.12.4.501 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [58].Cronan JE. Bacterial membrane lipids: where do we stand? Annu Rev Microbiol. 2003;57(1):203–224. doi: 10.1146/annurev.micro.57.030502.090851 [DOI] [PubMed] [Google Scholar]
- [59].Blitterswijk W, Meer B, Hilkmann H. Quantitative contributions of cholesterol and the individual classes of phospholipids and their degree of fatty acyl (un)saturation to membrane fluidity measured by fluorescence polarization. Biochemistry. 1987;26(6):1746–1756. doi: 10.1021/bi00380a038 [DOI] [PubMed] [Google Scholar]
- [60].Shaughnessy Daniel T, McAllister K, Worth L, et al. Mitochondria, energetics, epigenetics, and cellular responses to stress. Environ Health Perspect. 2014;122(12):1271–1278. doi: 10.1289/ehp.1408418 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Li D, Calderone R. Exploiting mitochondria as targets for the development of new antifungals. Virulence. 2017;8(2):159–168. doi: 10.1080/21505594.2016.1188235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [62].Zhang D, Qiang R, Zhao J, et al. Mechanism of a volatile organic compound (6-methyl-2-heptanone) emitted from Bacillus subtilis ZD01 against Alternaria solani in potato. Front Microbiol. 2022;12:808337. doi: 10.3389/fmicb.2021.808337 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Pannkuk EL, Risch TS, Savary BJ. Isolation and identification of an extracellular subtilisin-like serine protease secreted by the bat pathogen Pseudogymnoascus destructans. PLOS ONE. 2015;10(3):e0120508. doi: 10.1371/journal.pone.0120508 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [64].O’Donoghue AJ, Knudsen GM, Beekman C, et al. Destructin-1 is a collagen-degrading endopeptidase secreted by Pseudogymnoascus destructans, the causative agent of white-nose syndrome. Proc Natl Acad Sci USA. 2015;112(24):7478–7483. doi: 10.1073/pnas.1507082112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [65].Leach MD, Budge S, Walker L, et al. Hsp90 orchestrates transcriptional regulation by Hsf1 and cell wall remodelling by MAPK signalling during thermal adaptation in a pathogenic yeast. PLOS Pathog. 2012;8(12):e1003069. doi: 10.1371/journal.ppat.1003069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [66].Hirt RP, Healy B, Vossbrinck CR, et al. A mitochondrial Hsp70 orthologue in Vairimorpha necatrix: molecular evidence that microsporidia once contained mitochondria. Curr Biol. 1997;7(12):995–998. doi: 10.1016/S0960-9822(06)00420-9 [DOI] [PubMed] [Google Scholar]
- [67].Taipale M, Jarosz DF, Lindquist S. Hsp90 at the hub of protein homeostasis: emerging mechanistic insights. Nat Rev Mol Cell Biol. 2010;11(7):515–528. doi: 10.1038/nrm2918 [DOI] [PubMed] [Google Scholar]
- [68].Mayer FL, Wilson D, Jacobsen ID, et al. Small but crucial: the novel small heat shock protein Hsp21 mediates stress adaptation and virulence in Candida albicans. PLOS ONE. 2012;7(6):e38584. doi: 10.1371/journal.pone.0038584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [69].Tiwari S, Thakur R, Shankar J. Role of heat-shock proteins in cellular function and in the biology of fungi. Biotechnol Res Int. 2015;2015(1):132635. doi: 10.1155/2015/132635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [70].Baßler J, Hurt E. Eukaryotic ribosome assembly. Annu Rev Biochem. 2019;88(1):281–306. doi: 10.1146/annurev-biochem-013118-110817 [DOI] [PubMed] [Google Scholar]
- [71].OuYang Q, Tao N, Jing G. Transcriptional profiling analysis of penicillium digitatum, the causal agent of citrus green mold, unravels an inhibited ergosterol biosynthesis pathway in response to citral. BMC Genomics. 2016;17(1):599. doi: 10.1186/s12864-016-2943-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [72].Yu Y-T, Terns RM, Terns MP. Mechanisms and functions of RNA-guided RNA modification. In: Grosjean H, editor. Fine-tuning of RNA functions by modification and editing. Berlin, Heidelberg: Springer; 2005. p 223–262. doi: 10.1007/b105585 [DOI] [Google Scholar]
- [73].Zhang Y, Li Z, Wei S, et al. Antifungal activity and mechanisms of 2-ethylhexanol, a volatile organic compound produced by Stenotrophomonas sp. NAU1697, against fusarium oxysporum f. sp. Cucumerinum J Agric Food Chem. 2024;72(27):15213–15227. doi: 10.1021/acs.jafc.3c09851 [DOI] [PubMed] [Google Scholar]
- [74].Dexheimer TS. Dna repair pathways and mechanisms. In: Mathews L, Cabarcas SHurt E, editors. Dna repair of cancer stem cells. Dordrecht: Springer Netherlands; 2013. p 19–32. doi: 10.1007/978-94-007-4590-2_2 [DOI] [Google Scholar]
- [75].Ye X, Chen Y, Ma S, et al. Biocidal effects of volatile organic compounds produced by the myxobacterium Corrallococcus sp. EGB against fungal phytopathogens. Food Microbiol. 2020;91:103502. doi: 10.1016/j.fm.2020.103502 [DOI] [PubMed] [Google Scholar]
- [76].Vázquez J, Grillitsch K, Daum G, et al. The role of the membrane lipid composition in the oxidative stress tolerance of different wine yeasts. Food Microbiol. 2019;78:143–154. doi: 10.1016/j.fm.2018.10.001 [DOI] [PubMed] [Google Scholar]
- [77].Li X, Wang Q, Li H, et al. Revealing the mechanisms for linalool antifungal activity against Fusarium oxysporum and its efficient control of fusarium wilt in tomato plants. Int Int J Mol Sci. 2022;24(1):458. doi: 10.3390/ijms24010458 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [78].Vanderwolf KJ, Campbell LJ, Goldberg TL, et al. Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome. Isme J. 2021;15(3):909–920. doi: 10.1038/s41396-020-00821-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- [79].Gabriel KT, McDonald AG, Lutsch KE, et al. Development of a multi-year white-nose syndrome mitigation strategy using antifungal volatile organic compounds. PLOS ONE. 2022;17(12):e0278603. doi: 10.1371/journal.pone.0278603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- [80].Deguenon JM, Zhu J, Denning S, et al. Control of filth flies, Cochliomyia macellaria (Diptera: calliphoridae), Musca domestica (Diptera: muscidae), and Sarcophaga bullata (Diptera: sarcophagidae), using novel plant-derived methyl ketones. J Med Entomol. 2019;56(6):1704–1714. doi: 10.1093/jme/tjz107 [DOI] [PubMed] [Google Scholar]
- [81].Api AM, Belsito D, Biserta S, et al. RIFM fragrance ingredient safety assessment, 2-nonanone, CAS registry number 821–55-6. Food Chem Toxicol. 2021;149:111934. doi: 10.1016/j.fct.2020.111934 [DOI] [PubMed] [Google Scholar]
- [82].Api AM, Belsito D, Botelho D, et al. RIFM fragrance ingredient safety assessment, 2-undecanone, CAS registry number 112–12-9. Food Chem Toxicol. 2019;134:110634. doi: 10.1016/j.fct.2019.110634 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All raw sequence data have been deposited in the NCBI (PRJNA1177599). The datasets generated and analyzed during the current study are available in the Figshare repository (available at: https://doi.org/10.6084/m9.figshare.27367188).