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. 2026 Feb 24;89(3):912–924. doi: 10.1021/acs.jnatprod.5c01531

Genetic Dereplication of Multiple Penicillium expansum Biosynthetic Gene Clusters Reveals Cryptic Penta-Cyclopeptide Production

Mira Syahfriena Amir Rawa †, Benjamin J Haefner ‡, Grant R Nickles †, Enrique Aguilar-Ramírez †, Nancy P Keller †,‡,*, Justin L Eagan †,*
PMCID: PMC13036780  PMID: 41733157

Abstract

Genetic dereplication by targeted deletion of major secondary metabolite biosynthetic pathways is an effective strategy to uncover novel compounds and cryptic biosynthetic gene clusters (BGCs). In this study, we engineered a “flatline” strain of Penicillium expansum by knocking out key biosynthetic genes responsible for producing citrinin, patulin, roquefortine C, andrastin A, and communesins. Comparative metabolomic profiles between the flatline and wild-type strains revealed a marked increase in the production of five-residue cyclopeptides featuring the nonproteinogenic amino acid pipecolic acid in the flatline strain when cultivated on a rice medium. Further analysis led to the identification of known cyclopeptide MBJ-0110 and its new analogues assigned as 3-hydroxy-MBJ-0110 (1) and Val-MBJ-0110 (2). Their associated BGC was predicted using antiSMASH, whereby deletion of the nonribosomal peptide synthetase (NRPS) mbjA abolished the production of these cyclopeptides, confirming the requirement of mbjA as the core biosynthetic gene. A phylogenetic search showed a high level of conservation of MbjA across 19 species, predominately in the taxon Eurotiomycetes. By linking biosynthetic genes to these rare cyclopeptides, our study provides support for the genetic dereplication strategy as an effective means to uncover cryptic fungal secondary metabolism.


graphic file with name np5c01531_0009.jpg


graphic file with name np5c01531_0006.jpg


Filamentous fungi are prolific producers of structurally diverse and bioactive secondary metabolites (SMs), many of which are applied in pharmaceutical, agricultural, and food industries. − Genome mining and biosynthetic gene cluster (BGC) prediction efforts have identified plentiful, uncharacterized SM potential. , A major challenge, however, is inducing BGCs that remain cryptic or silent under standard laboratory conditions. Targeted approaches to induce a cryptic BGC include genetic manipulations or heterologous gene expression, which are effective methods, particularly when an in-cluster transcription factor can be induced. Untargeted approaches often involve changing culture conditions, such as the one-strain-many-compounds (OSMAC) approach or coculturing with another microorganism.

Genetic dereplication is another effective strategy for activating cryptic pathways in both targeted and untargeted manner. Dereplication is achieved by deleting the production of major SMs within a single genetic background to create a relatively “flat” metabolomic profile. This provides an opportunity to detect otherwise masked or minor compounds, which has been a successful strategy in several fungi (Table ). Chiang et al. (2016) pioneered this approach by creating the Aspergillus nidulans LO8030 strain in which deletion of eight major BGCs facilitated the discovery of the cryptic lipopeptide aspercryptin. The LO8030 strain has become an important chassis platform for heterologous expression, leading to the discoveries of tetradeoxy echinocandins, novel xenoacremone analogues, and naringenin. Dereplicated chassis strains developed in Penicillium crustosum and Penicillium rubens highlight the versatility of this strategy. , For example, by eliminating the formation of the reactive ortho-quinone methide in P. crustosum, a cleaner metabolic background was generated that prevented nonspecific conversions and enhanced the detection of novel heterologous products. Beyond simplifying the SM profile for improved detection of cryptic BGCs and compounds, dereplication may also alleviate competition for shared precursors as seen in P. rubens, which showed elevated aromatic amino acid levels.

1. Genetic Dereplicated Strains Developed from Previous Reports and This Study.

no. fungal platform deleted BGC/gene new metabolite endogenous/heterologous gene/BGC
1 Aspergillus nidulans (strain LO8030) i. sterigmatocystin cluster aspercryptin endogenous atn BGC
    ii. emericellamide cluster    
    iii. asperfuranone cluster    
    iv. monodictyphenone cluster    
    v. terrequinone cluster    
    vi. austinol parts 1 and 2 cluster    
    vii. F9775 cluster    
    viii. asperthecin cluster    
2 A. nidulans (strain LO8030) see no. 1 tetradeoxy echinocandins heterologous ecd BGC from Emericella rugulosa NRRL 11440
3 A. nidulans (strain LO8030) see no. 1 tyrosine-decahydrofluorene analogues: xenoacremones heterologous xen BGC from Xenoacremonium sinensis ML-31
4 A. nidulans (strain LO11098 with multimarkers) i. sterigmatocystin cluster sartorypyrones heterologous spy BGC from Aspergillus fumigatus
    ii. emericellamide cluster    
    iii. asperfuranone cluster    
    iv. monodictyphenone cluster    
    v. terrequinone cluster    
    vi. austinol parts 1 and 2 cluster    
    vii. F9775 cluster    
    viii. asperthecin cluster    
5 A. nidulans (strain LO11945 with AtbiA-gpdA(p)alcR) i. sterigmatocystin cluster tryptophan-containing diketopiperazines: homomorphins A–F heterologous dimethylallyltryptophan synthases ahm BGC from Aspergillus homomorphus CBS 101889
    ii. emericellamide cluster    
    iii. asperfuranone cluster    
    iv. monodictyphenone cluster    
    v. terrequinone cluster    
    vi. austinol parts 1 and 2 cluster    
    vii. F9775 cluster    
    viii. asperthecin cluster    
6 A. nidulans (strain A1145 ΔST ΔEM) i. sterigmatocystin synthase, ΔstcA zaragozic acid A and its intermediate, tricarboxylic acid-containing product heterologous clz BGC from Curvularia lunata
    ii. emericellamide synthase, ΔeasA    
7 Penicillium rubens (strain DS68530) i. penicillin cluster decumbenone A–C heterologous calbistrin BGC from Penicillium decumbens
    ii. roquefortine cluster    
    iii. chrysogine cluster    
    iv. fungisporin cluster    
8 Penicillium crustosum (strain PRB-2) i. terrestric acid synthase, ΔtraA annullatin heterologous anu BGC from Penicillium roqueforti
    ii. clavatol, hydroxyclavatol ortho-quinone methide synthase, ΔclaF    
9 Trichoderma hypoxylon Δthtri5 i. trichothecene synthase, Δthtri5 polycyclic lactones tricholactones A and B endogenous (BGC not characterized)
10 T. hypoxylon Δthtri5 i. trichothecene synthase, Δthtri5 sesquiterpenes tricinoloniol acids A–C endogenous traA synthase
11 Pestalotiopsis fici i. pesthetic acid synthase, pfptaA pestaloficiol X endogenous iac BGC
    ii. histone methyltransferase gene, pfcclA    
    iii. histone deacetylase gene, fhdaA    
12 Penicillium expansum (strain TJLE34) i. citrinin transcription factor and synthase, ΔctnA & ΔcitS 5-mer cyclopeptide: 3-hydroxy-MBJ-0110 and Val-MBJ-0110 endogenous mbjA synthase (this paper)
    ii. patulin transcription factor, ΔpatL    
    iii. roquefortine synthetase, ΔroqA    
    iv. communesin cluster, Δcns    
    v. Pex2_030390 unknown synthase    
    vi. andrastin synthase, ΔadrD    

Building on this concept, we developed a dereplicated Penicillium expansum strain, designated the “flatline” strain, through targeted deletions of five major SM pathways: citrinin, patulin, roquefortine C, andrastin A, and communesins. As one of the most extensively studied plant pathogens, P. expansum poses a threat to human health through its biosynthesis of mycotoxins, especially patulin, making the research of its SMs crucial for understanding its pathogenicity. In this study, the deletion of these major SMs resulted in a markedly reduced metabolomic complexity under laboratory conditions. In addition, cultivation of the strain through the OSMAC technique led to the discovery of uncharacterized five-residue cyclopeptides containing the nonproteogenic amino acid pipecolic acid (Pip), assigned as 3-hydroxy-MBJ-0110 (1) and Val-MBJ-0110 (2), along with their known analogue, MBJ-0110 (3), described here for the first time from P. expansum. We elucidated the nonribosomal peptide synthetase (NRPS) BGC responsible for biosynthesis. This finding represents the first genetic assignment of a BGC to cyclopeptides 1–3 production, providing a direct link between genotype and chemical phenotype for this rare cyclopeptide family and setting the stage for future biosynthetic engineering efforts.graphic file with name np5c01531_0007.jpg

Results and Discussion

Genetic Dereplication Results in the Loss of Five Major SM Biosynthetic Pathways in P. expansum

The first two SM pathways we targeted were patulin and citrinin, both major mycotoxin compounds produced by P. expansum (strain Pe-21). , We deleted in-cluster transcription factors patL and ctnA to abolish patulin and citrinin production, respectively. Our liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis of patulin confirmed loss in ΔpatL backgrounds. Under the same culture conditions of 14 days on potato dextrose agar (PDA), citrinin was not detected in the double deletion strain TJLE4 (Table S1 and Figure S1A). However, an earlier time point of 10 days on PDA revealed low levels of citrinin in TJLE4 (Figure S1B). At this time point, patulin was still not detected (Figure S1C). A time course experiment with wild-type (WT) suggested that citrinin detection is dependent on the culture time (Figure S1D). This supports a study that reported oscillatory kinetics of citrinin production on PDA over time. Our lab previously reported the promiscuity of PeXanC to induce citrinin production in trans; however, deletion of ctnA was sufficient to prevent PeXanC-mediated activation after 14 days on PDA. Here, our data suggest that more incremental time points are needed to parse this regulatory crosstalk and/or another method by which the citrinin BGC is induced. To ensure complete loss of citrinin, we deleted the citrinin synthase citS (Figure S1E). Going forward, we deleted the synthetase roqA, necessary for roquefortine C production and the synthase adrD, necessary for andrastin production. For deleting the production of communesins, we opted to delete the entire BGC to avoid potential shunt products similar to those observed by Lin et al. (2015) who elucidated the biosynthetic pathway in P. expansum. Resulting extracts from the final flatline strain, TJLE34, grown on PDA showed that citrinin, patulin, roquefortine C, andrastin A, and communesins were not produced from the five disabled BGCs, as determined by LC–MS/MS profiles (Figure S2). Additionally, the production of analogues roquefortine D and andrastins B–F was also abolished (Table S2).

OSMAC Approach Unveils Increased Production of Unique Peaks in the Flatline Strain

The OSMAC approach is a highly effective method in facilitating SM discovery by leveraging varied cultivation conditions to increase natural product titer and chemical diversity. For instance, fermentation of Penicillium sp. (strain HLLG-122) yielded nine new highly oxygenated meroterpenoids when incorporating different media compositions (solid rice and potato dextrose broth (PDB) liquid media). In this study, we assessed the full SM potential of the flatline strain by growing both the WT and flatline strains on 15 different solid media (Table S3 and Figure S3). LC–MS/MS analysis of extracts showed the production of diverse SMs in the flatline strain especially when grown on grain-based media such as oats and rice (Figure S4). For example, the abundance of tetracyclic sesquiterpene lactones, expansolides A and B (m/z 307.1540), , in the flatline strain were increased by almost 2-fold when cultivated on rice compared to WT (Figures A and S4). Subsequently, global natural products social (GNPS) molecular networking of the positive ion mode MS/MS data highlighted unique metabolites of the flatline extracts from the rice culture compared to those from WT (Figure B). Particularly, a molecular family comprising 16 nodes (i.e., 16 putatively related SMs) included three metabolites with m/z values of 580.2964 (1), 550.2860 (2), and 564.3014 (3), which could not be dereplicated in GNPS due to the absence of the corresponding MS/MS reference spectra (Figure B). Fragmentation analysis suggested that they are related peptides containing an uncommon amino acid Pip, highlighting their novelty. Given their abundance in the rice culture (Figure S5) and unique structural features, these metabolites were therefore targeted for isolation and BGC characterization.

1.

1

Metabolite profiling of the flatline strain based on reverse-phase LC–MS data analysis. (a) TICs in positive ion mode of P. expansum WT and flatline strains cultivated on rice medium. Deleted key biosynthetic genes abolished the metabolite peaks of five major SMs including citrinin, roquefortine C, and communesins. The peak intensity of TIC was standardized to 5 × 106 to 3 × 109, at a retention time window of 4–14 min (b) Partial classical GNPS molecular network (+ ion mode LC–MS/MS data) of P. expansum strains cultivated on rice medium (green = flatline strain TJLE 34.1, purple = WT strain TJT 14.1, yellow = rice medium only). SMs 1–3 were upregulated in the flatline strain. SMs corresponding to deleted biosynthetic genes were observed in the clusters within the WT strain only.

Isolation and Structure Elucidation Led to the Discovery of New Cyclopeptides 1 and 2

Compound 1 was obtained as a colorless amorphous powder, and its molecular formula was established as C27H41N5O9 by HR–electrospray ionization (ESI)–MS (m/z 580.2964 [M + H]+, calculated for C27H42N5O9 m/z 580.2983). Its peptidic nature was deduced from its MS/MS fragmentation pattern, which showed the loss of residue masses in the fragment ions (Figure S7). The molecular formula of compound 3 was established as C27H41N5O8 by HR–ESI–MS (m/z 564.3014 [M + H]+, calculated for C27H42N5O8 m/z 564.3033). A search for the accurate mass (Figure S8) and comparison of nuclear magnetic resonance (NMR) data (Figures S9–S11 and Table S4) with the reported paper confirmed the identification of 3 as MBJ-0110, a Pip-containing cyclopeptide isolated from Penicillium sp. (strain f25267).

The 1H NMR spectrum of 1 showed high-fielded chemical shift values of a triplet methyl and a singlet methyl signals resonating at 0.91 and 1.23 ppm, respectively (Figure S12). Six methine protons resonating at 4.12–5.17 ppm represent α-protons of amino acid moieties, while 12 methylene protons observed at 1.50–3.97 ppm were indicative of β- and aliphatic protons. The 13C NMR spectrum of 1 revealed 27 signals (Figure S13), which was consistent with the chemical formula confirmed by HR–ESI–MS. The 13C DEPT experiment further validated the presence of 2 methyl, 12 methylene, 6 methine, and 7 quaternary carbons (Figure S14). Carbon resonances of a methine carbon and a quaternary carbon observed at 69.6 and 73.5 ppm, respectively, signified the occurrence of an electronegative atom attached to these carbons. Table summarizes the 13C and 1H NMR spectroscopic data for 1.

2. 1H and 13C NMR spectroscopic data of 1 in D2O .

position type δC δH, mult. (J in Hz)
1 C 169.3 -
2 CH 61.4 4.40, s
3 C 73.5 -
4 CH2 33.4 1.57, q (7.7)
5 CH3 8.5 0.91, t (7.5)
6 CH3 23.7 1.23, s
7 C 174.6 -
8 CH 55.3 5.13, dd (9.0, 2.8)
9 CH2 24.5a 1.75 overlap 2.24, overlap
10 CH2 20.2 1.74, overlap 1.50, overlap
11 CH2 24.5a 1.74,overlap 2.22, overlap
12 CH2 44.7 3.13, overlap 3.97, d (13.4)
13 C 174.9 -
14 CH 59.5 5.02, dd (9.2, 3.7)
15 CH2 29.8 2.00, overlap 2.51, m
16 CH2 25.4 2.00, overlap
17 CH2 50.4 3.64, dt (10.7, 5.9) 3.75, dt (11.2, 7.2)
18 C 172.1 -
19 CH2 37.1 2.89, d (13.1) 3.18, overlap
20 CH 51.9 4.72, d (7.7)
21 C 177.1 -
22 C 169.3 -
23 CH 54.9 4.12, dd (13.0, 3.0)
24 CH2 32.0 2.17, overlap 2.65, d (15.0)
25 CH 69.6 5.17, br. s
26 CH2 25.6 2.04, overlap 2.39, d (15.7)
27 CH2 39.9 3.23, overlap 3.46, dd (13.4, 4.7)
a

The carbon chemical shifts are interchangeable.

The direct correlations between carbons and their attached protons were determined based on the heteronuclear single-quantum coherence experiment (Figure S15). The 1H spin systems and the long-range 1H–13C couplings between α-methine protons and their corresponding amide carbonyl carbons were elucidated using homonuclear correlation spectroscopy (COSY) and heteronuclear multiple bond correlation (HMBC) spectra, respectively (Figures , S16, and S17). The two-dimensional (2D) NMR data revealed the presence of Pip, proline (Pro), and aspartic acid (Asp). Additionally, the occurrence of a γ-hydroxypipecolic acid moiety (hydroxy-Pip) similar to MBJ-0110 was demonstrated based on the HMBC correlations of a nitrogen-bearing methylene proton H-27 (3.23 and 3.46 ppm) and an aliphatic methylene proton H-24 (2.17 and 2.65 ppm) with an oxymethine carbon C-25 (69.6 ppm), and an α-methine proton H-23 (4.12 ppm) with H-27 and an amide carbonyl carbon C-22 (169.3 ppm).

2.

2

2D correlations of 1. (a) Key COSY and HMBC correlations of 1. (b) 3D model of 1 with ROESY correlations supporting the stereochemistry assignment.

The presence of a β-hydroxyisoleucine (hydroxy-Ile) residue in compound 1 was indicated by HMBC NMR correlations (Figures and S18) of the hydroxylated quaternary carbon C-3 (73.5 ppm) with an α-methine proton H-2 (4.40 ppm), two methyl protons H-5 and H-6 (0.91 and 1.23 ppm, respectively), and a methylene proton H-4 (1.57 ppm). The observed downfield chemical shift of C-3 suggests deshielding of the carbon nucleus by an electronegative atom, consistent with the presence of an attached oxygen atom. The singlet observed for the methyl proton at C-6 supported the presence of the hydroxy group attached to the β-quaternary carbon, while the triplet multiplicity of the methyl proton at C-5 suggested its coupling with a neighboring methylene proton (H-4), a characteristic of an Ile. These data confirmed the structure of 1 as a new derivative of MBJ-0110 containing a hydroxylated Ile moiety at C-3, designed as 3-hydroxy-MBJ-0110.

The HMBC correlations verified the partial amino acid sequence of 1, indicating that Asp is adjacent to hydroxy-Pip, and hydroxy-Ile is positioned next to Pip (Figure ). Treatment of 1 with 0.1 N NaOH overnight at room temperature (Figure A), followed by ESI–MS/MS analysis established the molecular formula of the alkaline hydrolysate as C27H43N5O10 (HR-ESI–MS: [M + H]+ m/z 598.3087, calculated for C27H44N5O10 598.3088). The ESI–MS/MS data showed major fragment ions (m/z 185.0926, 243.0980, 324.1560, 340.1508, and 451.2191) that supported the proposed structure (Figure B). Basic hydrolysis cleaved the lactone ring of 1, leading to a linear peptide having the amino acid sequence: hydroxy-Ile–Pip–Pro–Asp–hydroxy-Pip.

3.

3

Structural information on 1. (a) NaOH hydrolysis of 1. b) ESI–MS/MS fragmentation ions of hydrolysate 1 showing the sequence of amino acids.

The absolute configurations of the amino acid residues in compound 1 were determined as L-Pro, L-Pip, and L-Asp using the advanced Marfey’s method, consistent with the reported absolute configuration of MBJ-0110 (Figure S19 and Table S4). As Pip possesses an S configuration at its α-carbon (C-8), biosynthetic logic suggests that C-23 should bear the same configuration, as no epimerase domain is detected in the NRPS modules. Consistent with this assignment, H-23 (4.12 ppm) is proposed to be α-oriented and shows axial–axial coupling (J = 13.0 Hz) with H-24 β-axial (2.17 ppm) as well as axial–equatorial coupling (J = 3.0 Hz) with H-24 α-equatorial (2.65 ppm) (Figure ). In support of this, H-23 displays a rotating frame Overhauser effect spectroscopy (ROESY) correlation with H-24 α-equatorial but not with H-24 β-axial, indicating that H-23 and H-24 β-axial are located on opposite faces (Figure ). Using analogous reasoning, H-25 (δ 5.17 ppm) is proposed to be β-oriented (S configuration), as it exhibits ROESY correlations with both axial and equatorial H-24 protons.

The observed ROESY correlation between H-8 (5.13 ppm) and H-2 (4.40 ppm) indicates that H-2 is β-oriented, allowing for the assignment of an S configuration at C-2 (Figures and S20). However, the configuration at C-3 could not be determined solely on the basis of the ROESY correlations between H-2 and H-6, as the H-2/H-6 distance is similar for the peptide in either the 3S* or 3R* configuration (data not shown).

The molecular networking analysis (Figure B) highlighted compound 2 as a related cyclopeptide of 1 and MBJ-0110. The molecular formula of 2 was established as C26H39N5O8 by HR–ESI–MS (m/z 550.2860 [M + H]+, calculated for C26H40N5O8 m/z 550.2877), consistent with the loss of one CH2 group compared to MBJ-0110 (Figure S21). Although isolation of 2 could not be completed due to the low yield, its fragmentation pattern shows product ions at m/z 433.2097, 322.1411, and 225.0876, corresponding to the sequential fragmentation of valine (Val), Pip, and Pro (Figure S21). These data suggest that this cyclopeptide is a new analogue of MBJ-0110 in which Ile is replaced by Val and was therefore assigned as Val-MBJ-0110. This discovery is supported by the biosynthetic logic of a cyclopeptide group called destruxins from Metarhizium spp, where its adenylation (A) domains exhibit similar substrate flexibility to generate structurally related analogues.

Compounds 1–3 are members of a cyclic depsipeptide group comprising at least one lactone bond in the core ring. Cyclic depsipeptides from fungi are structurally diverse, ranging from 3 up to 13 residues. Among the Pip-bearing cyclopeptides, petrosifungins A–B and JBIR 113–115 originate from Penicillium spp. , Compounds 1–3 are unique in that they contain a Pip with a hydroxyl group that forms a lactone bond with the C-terminal carboxyl of its neighboring amino acid rather than the more common amide bond to create a peptide cyclization. Compound 1 represents, to the best of our knowledge, the first example of a 3-hydroxylated Ile incorporated into a fungal peptide, although hydroxy-Ile formation was previously documented in bacteria such as Bacillus thuringiensis (strain 2 × 102). , Moreover, such hydroxylation is rare at the C-3 position, with C-4 being a more common site, , further underscoring the novelty and chemical diversity of this fungal compound. This mechanism of using nonstandard amino acids adds another biosynthetic insight into how such diversity arises.

NRPS MbjA Is Responsible for the Production of Cyclopeptides 1–3

Next, we were interested in identifying the BGC producing these cyclopeptides. Given that cyclopeptides 1–3 are composed of five residues, we hypothesized that an NRPS with five A domains would be responsible for its synthesis. AntiSMASH (https://fungismash.secondarymetabolites.org/) predicted 21 regions encoding NRPSs within the P. expansum genome (Supporting Information data 2). Further analysis of these 21 regions using PARAS (https://paras.bioinformatics.nl/) revealed two NRPSs (PEXP_055140 and PEXP_085540) with five and six predicted A domains, respectively (Supporting Information data 2). Considering this prediction, we deleted both NRPS genes using the flatline strain as the background strain, which were then analyzed for their products via LC–MS/MS analysis. The flatline strain containing the deleted PEXP_055140 gene (termed mbjA) showed the loss of cyclopeptides 1–3, confirming the requirement of MbjA for the production of these cyclopeptides (Figure ).

4.

4

PEXP_055140 (mbjA) is responsible for cyclopeptides 1–3 production. TICs and EICs (+ ion mode) of the flatline and flatline ΔmbjA strains. Deletion of mbjA abolished the production of cyclopeptides 1–3.

MbjA NRPS Is Found across Distant Taxa despite Cluster Specificity to the Penicillium Genus

Although the mbjA-encoded NRPS is hypothetically sufficient to biosynthesize the peptide backbones of 1–3, the genomic origin of the necessary nonproteinogenic precursors (e.g., l-Pip) remains unclear. Specifically, it is unknown if the auxiliary enzymes required to synthesize these precursors are colocalized within the mbj BGC or encoded in trans. To address this, we investigated the evolutionary conservation of this pathway under two distinct assumptions. First, assuming the intact mbj BGC is required for biosynthesis, we searched for conserved loci in other species using cBlaster. Second, assuming mbjA functions autonomously or cooperates with genomically distal tailoring enzymes, we performed a broad BLASTp search followed by synthaser and PARAS analyses to identify five-module MbjA homologues that were independent of the predicted cluster.

Our analysis of the full mbj locus revealed that while many Penicillium spp. possess a homologue of the BGC, it is not ubiquitous within the genus (Figure A). Among the Penicillium species containing the cluster, genomic synteny was high, with the majority of enzymatic genes being conserved (Figure A). In contrast, our search for the NRPS alone identified 30 unique homologues across 19 different species (Figure B). These homologues were predominantly found in the Eurotiomycetes (specifically Aspergillus, Penicillium, and Talaromyces) but were also identified in select Sordariomycetes (Trichoderma spp.) and a single Dothideomycete (Lasiodiplodia theobromae). Notably, every genome containing an mbjA homologue possessed exactly one copy. Interestingly, the amino acid sequence similarity between homologues from the Trichoderma and Penicillium genera was identical to that observed between the much taxonomically closer Aspergillus and Penicillium genera.

5.

5

Distribution of the mbj BGC and mbjA encoding NRPS. (a) Synteny alignment of the mbj BGC in P. expansum Pe-21 (D1 on NCBI) with homologous loci in five other Penicillium species. Predicted functions for each gene are listed, along with additional Penicillium spp. containing homologous mbj loci. (b) Phylogenetic distribution of species encoding MbjA homologues with exactly five adenylation (A) domains. Tree tips indicate phylum, and major taxonomic classes are highlighted. Heatmap intensity (white to red) indicates the number of A domains matching the substrate specificity of the P. expansum Pe-21 MbjA reference. c) Domain architecture of MbjA compared to homologues identified in distantly related species. The proteins are sorted based on the amino acid sequence similarity relative to MbjA, and the values are displayed to the right of each protein. The proposed function of each MbjA module in the biosynthesis of 1 is illustrated.

To verify that these distant homologues were likely functional orthologues rather than unrelated NRPSs with a similar module count, we predicted A-domain substrate specificity using PARAS (Figure C). Of the 30 identified homologues, 20 exhibited an A-domain specificity profile identical to that of the P. expansum Pe-21 MbjA reference across all five modules. The remaining homologues showed high conservation, with only minor deviations in predicted specificity (4/5 modules matching in one protein; 3/5 matching in eight proteins).

Collectively, the strong sequence similarity, identical domain architecture, and conserved substrate specificity profiles suggest that these enzymes are biochemically equivalent to MbjA. While the exact evolutionary history of this NRPS requires further phylogenetic reconciliation, the observed distribution allows for several hypotheses. The presence of mbjA in distantly related Sordariomycetes and Dothideomycetes, despite its absence in many closer relatives, suggests potential horizontal gene transfer events from the Eurotiomycetes to these lineages. Alternatively, strong environmental selection for the production of cyclopeptides 1–3 could have driven convergent evolution, leading to the independent emergence of structurally similar NRPSs in these distant lineages, though the high degree of sequence identity makes this less probable for the homologues found in the Trichoderma genus. Finally, this distribution could result from the extensive lineage-specific loss of an ancient NRPS gene family that predated the divergence of these fungal classes, although this scenario is less parsimonious given the broad absence of the gene in the majority of Ascomycota.

The structures of cyclopeptides 1–3 containing l-Pip suggest a requirement of an enzyme to make this nonproteinogenic amino acid. The AntiSMASH analysis did not predict a cyclodeaminase as one of the neighboring genes to mbjA (Figure A), which is typically responsible for converting l-lysine to l-Pip (e.g., RapL). This absence may imply that the incorporation of l-Pip critical to natural products like rapamycin may rely on a cyclodeaminase encoded outside the core gene cluster. However, mbjA’s neighboring gene encoding PEXP_055150 is predicted to be a dioxygenase/2OG-Fe­(II) oxygenase that may be responsible for hydroxylating l-Pip to form hydroxy-l-Pip. This reaction is analogous to those in other fungi like in Fusarium oxysporum utilizing nonheme iron, Fe­(II), and the cosubstrate 2-oxoglutarate (2OG) to catalyze various reactions, including hydroxylation of L-Pip. , It is also possible that PEXP_055150 plays a role in the hydroxylation of Ile as seen in compound 1. Considering the core ring formation of these cyclopeptides, this cyclization could be mediated either by a standard thioesterase (TE) domain or by a specialized condensation (C) domain integrated within the NRPS assembly line without the need for a terminal TE. This hypothesis is exemplified by the destruxin NRPS (DtxS1) assembly line. DtxS1 lacks a TE domain at the carboxyl terminus and may instead rely on its terminal C domain containing the catalytic SHAQYDG motif accountable for cyclization. The occurrence of a linear protodestruxin nonetheless suggests that cyclization mediated by an external TE domain remains a possible route, illustrating the two cyclization possibilities for the MbjA system as well.

Conclusion

In summary, by eliminating five dominant metabolite pathways, we created a cleaner chemical profile in P. expansum under the standard laboratory conditions. This genetic dereplication strategy, enhanced by the OSMAC approach, enabled the discovery of new cyclopeptide derivatives featuring uncommon amino acids such as hydroxy-Pip and hydroxy-Ile as well as the identification of its core biosynthetic gene, mbjA with demonstrated substrate flexibility that underscores the pathway’s potential for chemical diversity. Our findings demonstrate the direct genetic basis for these rare cyclopeptides and open the door for exploring fungal chemistry that would otherwise remain hidden.

Experimental Section

General Experimental Procedures

Optical rotations were measured on an Autopol III Automatic Polarimeter (Rudolph Research Analytical, Hackettstown, NJ, USA). Ultraviolet (UV) spectra were recorded on a Gilson 171 DAD detector (Middleton, WI, USA). Infrared (IR) spectra were recorded on a Nicolet 6700 Fourier transform infrared spectrometer (Thermo Electron Scientific Instruments Corporation, Madison, WI USA). NMR spectra were recorded in water-d 2 (D2O) solution on a Bruker Avance III HD, 500 MHz instrument (Billerica, MA, USA) equipped with a 5 mm cryoprobe at 500 MHz for 1H NMR and 125 MHz for 13C NMR. The NMR spectra were processed and baseline-corrected using the MestReNova software. 1H chemical shifts were referenced to the residual D2O or CD3OD solvent, while 13C chemical shifts were referenced to the residual CD3OD solvent signal for compound 1, after the acquisition in 100% D2O (approximately 10% CD3OD was added to enable accurate 13C NMR referencing). Chemical shifts were expressed in parts per million (δ). MPLC was accomplished by using a Teledyne ISCO CombiFlash Companion (Teledyne ISCO, NE, USA). Ultra-high-performance liquid chromatography (UHPLC)–HRMS and UHPLC–MS/MS data were acquired using a Thermo Fisher Scientific Vanquish UHPLC system (Waltham, MA, USA) with a Waters XBridge BEH-C18 column (2.1 × 100 mm, 1.7 μm) that was connected to a Thermo Fisher Scientific Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometer (Waltham, MA, USA) operated in positive and/or negative ionization modes using a mass/charge ratio (m/z) range of 100–1500. Preparative HPLC was conducted using a Gilson 332 pump and a Gilson 171 DAD detector (Middleton, WI, USA) with an XBridge Prep C18 OBD column (5 μm, 19 × 250 mm). All solvents used were spectroscopic grade.

Strain Construction and Maintenance

The P. expansum apple isolate Pe-21 (also named D1 on NCBI) served as the progenitor strain, with TJT14.1 (Δku70:six-site) used as the WT reference in this study. To generate the flatline strain, we employed a recyclable hygromycin-resistance cassette as a selectable marker for homologous recombination, enabling targeted deletion of biosynthetic genes responsible for the production of citrinin, patulin, roquefortine C, communesins, and andrastins. All strains used in this study, including intermediate mutants generated during the stepwise construction process, are listed in Table S2. Notably, an attempt to disrupt chaetoglobosin biosynthesis by deleting PEX2_030390 inadvertently removed an unrelated NRPS-PKS gene. All strains were confirmed with Southern blot or PCR assays (Figure S22).

To excise the hygromycin-resistance cassette, transformants were cultured for two successive passages on xylose minimal medium (XMM; glucose minimal medium [GMM] with 2% (w/v) xylose replacing glucose). This medium induces the expression of a β-recombinase, driven by the xylose-inducible xylP promoter from Penicillium chrysogenum, which targets flanking six-site recombination sequences and facilitates cassette excision from the genome. Successful hygromycin cassette integrations were verified by Southern blotting, while cassette excisions were confirmed via PCR (Figure S22). For long-term preservation, conidial spores from each strain were harvested from GMM plates using 0.01% Tween-20 and stored as 25% (final concentration) glycerol stocks at −80 °C. Importantly, in the final flatline strains (TJLE34.1/2/3), the hygromycin-resistance cassette integrated at the adrD locus could not be excised despite multiple passage attempts on XMM. All sibling isolates failed to recycle the marker, indicating stable integration at this locus.

Double-joint PCR was used to generate gene-deletion constructs, following the method described by Yu et al., 2004. For each NRPS (PEXP_055140 and PEXP_085540), 1.5 kb regions upstream and downstream of the open reading frame as well as the selectable marker were amplified using Pfu DNA polymerase (Agilent, Santa Clara, CA, USA). Amplification primers included 23 bp (upstream) and 26 bp (downstream) overhangs complementary to the selectable marker sequence. An excisable hygromycin resistance cassette from plasmid pSK529 was used as the selectable marker. Following amplification, each flank was gel-purified by using the QIAquick PCR Purification Kit (Qiagen, Hilden, Germany). The purified fragments were combined with the selectable marker fragment at a 1:5:1 ratio (5′ flank: marker: 3′ flank) for fusion PCR. The assembled construct was then amplified with nested primers using the Long Template Expand PCR System (Roche, Indianapolis, IN, USA), and the final PCR product was purified using a G-50 column (Cytiva, Marlborough, MA, USA). Primer sequences used for construct generation are listed in Table S6.

NRPS deletion strains were generated through homologous recombination using protoplast-mediated transformation, as previously described. The parental strain MJLE6.1 served as the transformation background. To generate protoplasts, approximately 109 spores were cultured in liquid GMM supplemented with 0.1% (w/v) yeast extract at 25 °C with agitation at 250 rpm until germ tube formation was evident. Germlings were pelleted by centrifugation, rinsed with sterile water, and resuspended in 30 mL of protoplasting solution (Osmotic Medium containing 0.06 g of Yatalase and 0.1 g of Lysing Enzymes from Trichoderma). This suspension was incubated overnight at 25 °C at 100 rpm to facilitate cell wall digestion. Protoplasts were collected by centrifugation with 8 mL of Trapping Buffer at 3750 rpm for 15 min at 15 °C, washed with STC buffer (1.2 M sorbitol, 10 mM CaCl2, 10 mM Tris–HCl, pH 7.5), and resuspended in 500 μL of the same buffer. For transformation, 100 μL of protoplast suspension was combined with 25 μL of the gene-deletion cassette in a final volume of 200 μL STC buffer and incubated on ice for 50 min. Following this, 1.25 mL of 60% PEG 4000 solution was added, and the mixture was incubated at room temperature for 15 min. Afterward, 5 mL of STC buffer was added, and the mixture was placed on ice for 30 min. To facilitate recovery, 10 mL of SMM medium was added, and cultures were incubated overnight at 25 °C with shaking at 250 rpm. The following morning, the recovered germlings were mixed with molten SMM top agar supplemented with hygromycin (100 μg/mL; final agar concentration 0.7%), and the mixture was poured over SMM plates containing hygromycin (100 μg/mL). Plates were incubated at 25 °C for approximately 5 days until colonies emerged. Transformants were transferred to fresh selective media, subjected to DNA extraction, and verified by PCR using primers binding outside the homologous flanking regions together with marker-specific primers to confirm correct integration.

Culture Methods for SM Extractions

For all experiments, the inoculum size was standardized to 500,000 spores, corresponding to 10 μL of a 5 × 107 spores/mL suspension. For solid media, including plate- and grain-based cultures, spores were point-inoculated at the center of the medium. In liquid culture experiments using PDB, 10 μL of the spore suspension was added directly to 3 mL of media, and the mixture was gently mixed. All media formulations used in this study are detailed in Table S4. Cultures were incubated at 25 °C in the darkness.

SM Extraction and LC–MS/MS Analysis

Following the incubation period, the entire culture (agar medium and fungal colony) was harvested and transferred to 50 mL conical tubes and then frozen at 80 °C for a minimum of 1 h to overnight. Samples were subsequently lyophilized for approximately 1 week. Once thoroughly dried, samples were homogenized by manual grinding with a glass rod, followed by extraction in 20 mL of methanol under shaking conditions (25 °C and 250 rpm) overnight. The initial extract was decanted into a fresh conical tube, and a second methanol extraction was performed on the residual material. Combined extracts (∼40 mL per sample) were allowed to dry completely under ambient conditions in a fume hood. Dried residues were reconstituted in methanol to a final concentration of 1 mg/mL for chromatographic analysis. For Figure S1A–C, ethyl acetate extractions were performed as previously described.

UHPLC–HRMS and UHPLC–MS/MS analyses were performed with a 10 μL injection volume and a flow rate of 0.2 mL/min. The 20 min linear gradient method of water (H2O)/acetonitrile (MeCN) with 0.05% formic acid was used: initial hold at 5% organic phase for 2.5 min, increase to 98% over 10.5 min, hold at 98% for 4 min, decrease to 5% over 0.5 min, and final hold at 5% for 2.5 min.

Feature Detection and Characterization

LC–MS/MS raw data files were converted to the centroided.mzXML format using RawConverter (v1.2.0.1, The Scripps Research Institute). Data acquired in positive and negative ionization modes were processed independently. Targeted feature detection and quantification were performed using Maven (v2.0.3), where specific m/z values of interest were extracted and intensity values were subsequently visualized using GraphPad Prism (v10). Total ion chromatograms (TICs) and extracted ion chromatograms (EICs) were generated using MZmine (v3.5.0). Molecular networking was performed using the GNPS Molecular Networking platform (https://gnps.ucsd.edu/ProteoSAFe/static/gnps-splash.jsp), with classical-based networking constructed from MS/MS fragmentation data. The default parameters were used, and the molecular network was visualized on the Cytoscape software (v3.10.2).

Isolation of Cyclopeptides

The flatline (TJLE 34.1) strain was point-inoculated on solid rice media for 2 weeks. The culture was lyophilized and extracted with 1.5 L methanol (MeOH) thrice to be removed by evaporation in vacuo. The crude extract was solvent–solvent partitioned with EtOAc and H2O at a 1:1 ratio (Figure S23). After forming a separate layer, the EtOAc layer was removed, and the H2O layer was collected and dried in vacuo to yield a residue. The H2O extract (∼10 g) was further separated using the CombiFlash MPLC on a disposable 220 g silica column with a chloroform (CHCl3)/CH3OH linear gradient method: 40–100% CH3OH to yield eight fractions. Fractions 5–7 were further purified a few times using a prep C-18 column on HPLC with a linear gradient separation method: 5–35% MeCN 0.1% formic acid to afford white amorphous 7.0 mg of 1 and 3.3 mg of MBJ-0110. The structures of 1 and MBJ-0110 were drawn by using ChemDraw 22.0.0. The -dimensional (3D) model of 1 was generated through a geometric optimization using the PM3 semiempirical method in Spartan 10 and visualized in PyMOL 3.1.4.1. In the 3D image, key ROESY correlations were depicted, highlighting H-2, H-8, and the chair conformation of one of the piperidine rings (eq = equatorial, ax = axial).

3-Hydroxy-MBJ-0110 (1)

A colorless amorphous powder; [α]D −26 (c 0.10, MeOH); UV (MeOH) end; IR (νmax) 1500, 1610 cm–1; 1H and 13C NMR data, Table ; HR-ESI-MS m/z 580.2964 [M + H]+ (calcd for C27H42N5O9, 580.2983).

Advanced Marfey’s Analysis

Advanced Marfey’s analysis was conducted to determine the absolute configuration of compound 1. About 0.2 mg of 1 was hydrolyzed with 1 mL of 6 M hydrochloric acid (HCl) at 110 °C for 4 h into a small glass vial. The resulting hydrolysate was dried under air flow, resuspended with 50 μL of H2O, and derivatized with 100 μL of 1% 1-fluoro-2,4-dinitrophenyl-5-leucine-amide (d,l-FDLA and l-FDLA) in acetone. Then, 20 μL of 1 M sodium bicarbonate (NaHCO3) was added, and the mixture was agitated at 40 °C for 1 h. The derivatized mixture was neutralized with 10 μL of 2 M HCl, diluted with 200 μL MeOH, and transferred to an LC–MS vial. Amino-acid standards l-Pip, l-Pro, and l-Asp (0.2–1 mg) were derivatized with d,l-FDLA and l-FDLA in a similar manner. The Marfey’s derivatives were analyzed using a UHPLC–MS system with 5 μL injection. The analytical method was developed with a linear gradient system of H2O/MeCN with 0.05% formic acid (10–60% MeCN, 40 min; flow rate, 0.2 mL/min). The retention times of FDLA-derivatized hydrolysate 1 were compared with the retention times of the derivatized amino acid standards.

Genome Mining and Synteny Analysis of the mbj BGC

We ran the Web server version of antiSMASH (v8.0.2) to generate the initial list of 24 NRPS containing BGCs in our P. expansum D1 isolate. The list of 24 candidate NRPSs was narrowed down to two by looking for NRPSs with exactly five modules (A-T-C domains = 1 module). To determine which other species contain syntenic genomic loci to that of the mbj BGC, we used a mix of local versions cBlaster (v1.3.18) and the online Web server CageCat (CompArative GEne Cluster Analysis Toolbox). The local database was run complementary to CageCat to ensure species with all or part of the mbj cluster were not missed due to NCBI api query limits that can sometimes limit the number of genomes analyzed when using CageCat. The local database was made as follows: 371 primarily Ascomycota genomes were downloaded using the NCBI data sets. We took care to select a diversity of species spanning the major Ascomycota taxonomic classes and included a small number of Basidiomycetes in addition to a single Mucoromycete and Chytridiomycota genome. Visualizations and analysis of the protein domains within each individual NRPS were performed using synthaser (v1.1.22) and PARAS (v1.0.0).

Generating Sequence Similarity Alignments

Selected homologous protein sequences to MbjA were exported to the FASTA format using the Biopython (v1.85) library. Pairwise global alignments were computed between the reference MbjA protein from P. expansum D1 and all identified homologues using the pairwise2.align.globalxx command (match score = 1, mismatch/gap penalties = 0). Sequence similarity was calculated as the alignment score normalized by the length of the shorter sequence in each pair to account for potential variation in protein length. Homologues were ordered by descending similarity to the reference, and the resulting similarity values were visualized as a heatmap using the Seaborn (v0.13.2) and matplotlib (v3.9.4) Python libraries.

Reconstructing the Species Tree from the Locally Downloaded Genomes

We reconstructed a kingdom-level species tree by running a coalescent model, ASTRAL v5.7.8, on 290 BUSCO gene trees. , Each gene tree was made as following: sequence alignment was performed with MAFFT v7.475 with the “-auto” parameter. The alignments underwent trimming using trimAl v1.2, with the “-gappyout” parameter. Lastly, we made phylogenomic trees from the trimmed alignments using IQTree v2.0.3 and ran 1000 ultrafast bootstrap replicates. We utilized ModelFinder to select the most suitable model of sequence evolution for each gene tree. The tree was rooted at Spizellomyces punctatus, which was the only Chytridiomycota genome included in our data set. All tree visualizations were created with the help of the ggtree (v3.11.0) and ggtreeExtra (v1.12.0) packages.

Supplementary Material

np5c01531_si_001.pdf (2.2MB, pdf)
np5c01531_si_002.xlsx (516.7KB, xlsx)

Acknowledgments

We thank the National Magnetic Resonance Facility at Madison (NMRFAM) and all members of the Keller lab for their support and helpful discussions of the research results and manuscript. This study was supported by NIH grants to N.P.K.: R01 NIH/NCCIH R01 AT 00914320 for salary support for M.S.A.R., 3R01GM11273907W1 for salary support for J.L.E., PJ000007271 UWMSN Distinguished Research Fellowship for salary support for G.R.N., and 1-R35 GM 15611901 for salary support for E.A.R. Hatch Act Formula Fund WIS05058 and United StatesIsrael Binational Agricultural Research Development (BARD) Fund IS-5629-23 were awarded to N.P.K. for salary support for B.J.H.

The NMR data for compound 1 have been deposited in the Natural Products Magnetic Resonance Database (NP-MRD; www.np-mrd.org) and can be found at NP0352144.

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jnatprod.5c01531.

  • General information on strains, OSMAC analysis, HR–ESI–MS and HR–ESI–MS/MS data, 1D and 2D NMR spectra, IR spectra, LC–MS results from the Marfey’s analysis, Southern blot, and PCR confirmations (PDF)

  • Results from AntiSMASH of predicted BGCs of P. expansum Pe-21 (XLSX)

M.S.A.R. performed isolation, structure elucidation, UPLC-MS/MS and NMR data acquisition and analysis, and writing. B.J.H. contributed to NRPS gene knockouts and writing. G.R.N. contributed to bioinformatic and phylogenetic analysis and writing. E.A.R. contributed to NMR and MS/MS data analysis, and manuscript revision. N.P.K. contributed to the visualization and supervision, conceived the projects, finalized the manuscript, and provided financial support. J.L.E. conceptualized and designed the experiments, performed genetic dereplication, OSMAC, data analysis, and writing. All authors have edited, read, and approved the final version of the manuscript.

The authors declare the following competing financial interest(s): N.P.K. is co-Founder of Terra BioForge.

References

  1. Wadhwa K., Kapoor N., Kaur H., Abu-Seer E. A., Tariq M., Siddiqui S., Yadav V. K., Niazi P., Kumar P., Alghamdi S.. A Comprehensive Review of the Diversity of Fungal Secondary Metabolites and Their Emerging Applications in Healthcare and Environment. Mycobiology. 2024;52(6):335–387. doi: 10.1080/12298093.2024.2416736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Gandía M., Garrigues S.. Filamentous Fungi as Excellent Industrial Strains: Development and Applications. J. Fungi Basel Switz. 2024;10(8):541. doi: 10.3390/jof10080541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Elhamouly N. A., Hewedy O. A., Zaitoon A., Miraples A., Elshorbagy O. T., Hussien S., El-Tahan A., Peng D.. The Hidden Power of Secondary Metabolites in Plant-Fungi Interactions and Sustainable Phytoremediation. Front. Plant Sci. 2022;13:1044896. doi: 10.3389/fpls.2022.1044896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Tran P. N., Yen M.-R., Chiang C.-Y., Lin H.-C., Chen P.-Y.. Detecting and Prioritizing Biosynthetic Gene Clusters for Bioactive Compounds in Bacteria and Fungi. Appl. Microbiol. Biotechnol. 2019;103(8):3277–3287. doi: 10.1007/s00253-019-09708-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Robey M. T., Caesar L. K., Drott M. T., Keller N. P., Kelleher N. L.. An Interpreted Atlas of Biosynthetic Gene Clusters from 1,000 Fungal Genomes. Proc. Natl. Acad. Sci. U. S. A. 2021;118(19):e2020230118. doi: 10.1073/pnas.2020230118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Wang Y., Mao X.-M.. Mining Silent Biosynthetic Gene Clusters for Natural Products in Filamentous Fungi. Chem. Biodivers. 2025;22(6):e202402715. doi: 10.1002/cbdv.202402715. [DOI] [PubMed] [Google Scholar]
  7. Pan R., Bai X., Chen J., Zhang H., Wang H.. Exploring Structural Diversity of Microbe Secondary Metabolites Using OSMAC Strategy: A Literature Review. Front. Microbiol. 2019;10:294. doi: 10.3389/fmicb.2019.00294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Selegato D. M., Castro-Gamboa I.. Enhancing Chemical and Biological Diversity by Co-Cultivation. Front. Microbiol. 2023;14:1117559. doi: 10.3389/fmicb.2023.1117559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Chiang Y.-M., Ahuja M., Oakley C. E., Entwistle R., Asokan A., Zutz C., Wang C. C. C., Oakley B. R.. Development of Genetic Dereplication Strains in Aspergillus Nidulans Results in the Discovery of Aspercryptin. Angew. Chem., Int. Ed. 2016;55(5):1662–1665. doi: 10.1002/anie.201507097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Yu X., Jiang Q., Chen X., Shu H., Xu Y., Sheng H., Yu Y., Wang W., Keller N. P., Xu J., Wang P.. Unnatural Tetradeoxy Echinocandins Produced by Gene Cluster Design and Heterologous Expression. Org. Biomol. Chem. 2023;21(17):3552–3556. doi: 10.1039/D3OB00075C. [DOI] [PubMed] [Google Scholar]
  11. Liu Z., Li W., Zhang P., Sun Y., Yin W.-B.. Heterologous Production of Bioactive Xenoacremone Analogs in Aspergillus Nidulans. Chin. J. Nat. Med. 2023;21(6):436–442. doi: 10.1016/S1875-5364(23)60412-1. [DOI] [PubMed] [Google Scholar]
  12. Zhang H., Li Z., Zhou S., Li S.-M., Ran H., Song Z., Yu T., Yin W.-B.. A Fungal NRPS-PKS Enzyme Catalyses the Formation of the Flavonoid Naringenin. Nat. Commun. 2022;13(1):6361. doi: 10.1038/s41467-022-34150-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Zhou J., Chen X., Li S.-M.. Construction of an Expression Platform for Fungal Secondary Metabolite Biosynthesis in Penicillium Crustosum. Appl. Microbiol. Biotechnol. 2024;108(1):427. doi: 10.1007/s00253-024-13259-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Pohl C., Polli F., Schütze T., Viggiano A., Mózsik L., Jung S., de Vries M., Bovenberg R. A. L., Meyer V., Driessen A. J. M.. A Penicillium Rubens Platform Strain for Secondary Metabolite Production. Sci. Rep. 2020;10(1):7630. doi: 10.1038/s41598-020-64893-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Tannous J., Keller N. P., Atoui A., El Khoury A., Lteif R., Oswald I. P., Puel O.. Secondary Metabolism in Penicillium Expansum: Emphasis on Recent Advances in Patulin Research. Crit. Rev. Food Sci. Nutr. 2018;58(12):2082–2098. doi: 10.1080/10408398.2017.1305945. [DOI] [PubMed] [Google Scholar]
  16. Lin S.-Y., Oakley C. E., Jenkinson C. B., Chiang Y.-M., Lee C.-K., Jones C. G., Seidler P. M., Nelson H. M., Todd R. B., Wang C. C.. et al. A Heterologous Expression Platform in Aspergillus Nidulans for the Elucidation of Cryptic Secondary Metabolism Biosynthetic Gene Clusters: Discovery of the Aspergillus Fumigatus Sartorypyrone Biosynthetic Pathway. Chem. Sci. 2023;14(40):11022–11032. doi: 10.1039/d3sc02226a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Jenkinson C. B., Lin S.-Y., Villarreal M., Oakley C. E., Sherman D. H., Lee C.-K., Wang C. C. C., Oakley B. R.. Discovery of Uncommon Tryptophan-Containing Diketopiperazines from Aspergillus Homomorphus CBS 101889 Using an Aspergillus Nidulans Heterologous Expression System. J. Nat. Prod. 2024;87(7):1704–1713. doi: 10.1021/acs.jnatprod.4c00113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Liu N., Hung Y.-S., Gao S.-S., Hang L., Zou Y., Chooi Y.-H., Tang Y.. Identification and Heterologous Production of a Benzoyl-Primed Tricarboxylic Acid Polyketide Intermediate from the Zaragozic Acid A Biosynthetic Pathway. Org. Lett. 2017;19(13):3560–3563. doi: 10.1021/acs.orglett.7b01534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Chen L., Wu H., Liu H., Li E., Ren J., Wang W., Wang S., Yin W.-B.. Genetic Dereplication of Trichoderma Hypoxylon Reveals Two Novel Polycyclic Lactones. Bioorg. Chem. 2019;91:103185. doi: 10.1016/j.bioorg.2019.103185. [DOI] [PubMed] [Google Scholar]
  20. Liu H., Pu Y.-H., Ren J.-W., Li E.-W., Guo L.-X., Yin W.-B.. Genetic Dereplication Driven Discovery of a Tricinoloniol Acid Biosynthetic Pathway in Trichoderma Hypoxylon. Org. Biomol. Chem. 2020;18(28):5344–5348. doi: 10.1039/D0OB01202E. [DOI] [PubMed] [Google Scholar]
  21. Yang L., Wu G., Meng F., Ran H., Yin W., Li W., Liu X.. Combination Strategy of Genetic Dereplication and Manipulation of Epigenetic Regulators Reveals a Novel Compound from Plant Endophytic Fungus. Int. J. Mol. Sci. 2022;23(7):3686. doi: 10.3390/ijms23073686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Touhami N., Soukup S. T., Schmidt-Heydt M., Kulling S. E., Geisen R.. Citrinin as an Accessory Establishment Factor of P. Expansum for the Colonization of Apples. Int. J. Food Microbiol. 2018;266:224–233. doi: 10.1016/j.ijfoodmicro.2017.12.007. [DOI] [PubMed] [Google Scholar]
  23. Dor S., Nudel K., Eagan J. L., Cohen R., Hull C. M., Keller N. P., Prusky D., Afriat-Jurnou L.. Bacterial-Fungal Crosstalk Is Defined by a Fungal Lactone Mycotoxin and Its Degradation by a Bacterial Lactonase. Appl. Environ. Microbiol. 2024;90(6):e00299-24. doi: 10.1128/aem.00299-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Wang W., Milton D., Greco C., Luciano-Rosario D., Wang P., Keller N. P.. Transcription Factor Repurposing Offers Insights into Evolution of Biosynthetic Gene Cluster Regulation. mBio. 2021;12(4):10. doi: 10.1128/mbio.01399-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Ali H., Ries M. I., Nijland J. G., Lankhorst P. P., Hankemeier T., Bovenberg R. A., Vreeken R. J., Driessen A. J.. A Branched Biosynthetic Pathway Is Involved in Production of Roquefortine and Related Compounds in Penicillium Chrysogenum. PLoS One. 2013;8(6):e65328. doi: 10.1371/journal.pone.0065328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Rojas-Aedo J. F., Gil-Durán C., Del-Cid A., Valdés N., Álamos P., Vaca I., García-Rico R. O., Levicán G., Tello M., Chávez R.. The Biosynthetic Gene Cluster for Andrastin A in Penicillium Roqueforti. Front. Microbiol. 2017;8:813. doi: 10.3389/fmicb.2017.00813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Lin H.-C., Chiou G., Chooi Y.-H., McMahon T. C., Xu W., Garg N. K., Tang Y.. Elucidation of the Concise Biosynthetic Pathway of the Communesin Indole Alkaloids. Angew. Chem., Int. Ed. 2015;54(10):3004–3007. doi: 10.1002/anie.201411297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Qin Y., Zou L., Lei X., Su J., Yang R., Xie W., Li W., Chen G.. OSMAC Strategy Integrated with Molecular Networking Discovery Peniciacetals A–I, Nine New Meroterpenoids from the Mangrove-Derived Fungus Penicillium Sp. HLLG-122. Bioorg. Chem. 2023;130:106271. doi: 10.1016/j.bioorg.2022.106271. [DOI] [PubMed] [Google Scholar]
  29. Massias M., Rebuffat S., Molho L., Chiaroni A., Riche C., Bodo B.. Expansolides A and B: Tetracyclic Sesquiterpene Lactones from Penicillium Expansum. J. Am. Chem. Soc. 1990;112(22):8112–8115. doi: 10.1021/ja00178a039. [DOI] [Google Scholar]
  30. Ying Y.-M., Fang C.-A., Yao F.-Q., Yu Y., Shen Y., Hou Z.-N., Wang Z., Zhang W., Shan W.-G., Zhan Z.-J.. Bergamotane Sesquiterpenes with Alpha-Glucosidase Inhibitory Activity from the Plant Pathogenic Fungus Penicillium Expansum. Chem. Biodivers. 2017;14(1):e1600184. doi: 10.1002/cbdv.201600184. [DOI] [PubMed] [Google Scholar]
  31. Kawahara T., Itoh M., Kozone I., Izumikawa M., Sakata N., Tsuchida T., Shin-ya K.. MBJ-0110, a Novel Cyclopeptide Isolated from the Fungus Penicillium Sp. F25267. J. Antibiot. 2016;69(1):66–68. doi: 10.1038/ja.2015.78. [DOI] [PubMed] [Google Scholar]
  32. Fujii K., Shimoya T., Ikai Y., Oka H., Harada K.. Further Application of Advanced Marfey’s Method for Determination of Absolute Configuration of Primary Amino Compound. Tetrahedron Lett. 1998;39(17):2579–2582. doi: 10.1016/S0040-4039(98)00273-1. [DOI] [Google Scholar]
  33. Dornetshuber-Fleiss R., Heffeter P., Mohr T., Hazemi P., Kryeziu K., Seger C., Berger W., Lemmens-Gruber R.. Destruxins: Fungal-Derived Cyclohexadepsipeptides with Multifaceted Anticancer and Antiangiogenic Activities. Biochem. Pharmacol. 2013;86(3):361–377. doi: 10.1016/j.bcp.2013.05.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Wang X., Gong X., Li P., Lai D., Zhou L.. Structural Diversity and Biological Activities of Cyclic Depsipeptides from Fungi. Molecules. 2018;23(1):169. doi: 10.3390/molecules23010169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Bringmann G., Lang G., Steffens S., Schaumann K.. Petrosifungins A and B, Novel Cyclodepsipeptides from a Sponge-Derived Strain of Penicillium Brevicompactum. J. Nat. Prod. 2004;67(3):311–315. doi: 10.1021/np034015x. [DOI] [PubMed] [Google Scholar]
  36. Kawahara T., Takagi M., Shin-ya K.. Three New Depsipeptides, JBIR-113, JBIR-114 and JBIR-115, Isolated from a Marine Sponge-Derived Penicillium Sp. fS36. J. Antibiot. 2012;65(3):147–150. doi: 10.1038/ja.2011.126. [DOI] [PubMed] [Google Scholar]
  37. Wu L., An J., Jing X., Chen C.-C., Dai L., Xu Y., Liu W., Guo R.-T., Nie Y.. Molecular Insights into the Regioselectivity of the Fe­(II)/2-Ketoglutarate-Dependent Dioxygenase-Catalyzed C–H Hydroxylation of Amino Acids. ACS Catal. 2022;12(19):11586–11596. doi: 10.1021/acscatal.2c03106. [DOI] [Google Scholar]
  38. Hibi M., Takashi K., Kodera T., Smirnov S. V., Sokolov P. M., Sugiyama M., Sakayu S., Kenzo Y., Ogawa J.. Characterization of Bacillus Thuringiensis L-Isoleucine Dioxygenase for Production of Useful Amino Acids. Appl. Environ. Microbiol. 2011;77(19):6926–6930. doi: 10.1128/AEM.05035-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Blin K., Shaw S., Vader L., Szenei J., Reitz Z. L., Augustijn H. E., Cediel-Becerra J. D. D., de Crécy-Lagard V., Koetsier R. A., Williams S. E., Cruz-Morales P., Wongwas S., Segurado Luchsinger A. E., Biermann F., Korenskaia A., Zdouc M. M., Meijer D., Terlouw B. R., van der Hooft J. J. J., Ziemert N., Helfrich E. J. N., Masschelein J., Corre C., Chevrette M. G., van Wezel G. P., Medema M. H., Weber T.. AntiSMASH 8.0: Extended Gene Cluster Detection Capabilities and Analyses of Chemistry, Enzymology, and Regulation. Nucleic Acids Res. 2025;53(W1):W32–W38. doi: 10.1093/nar/gkaf334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Terlouw, B. R. ; Huang, C. ; Meijer, D. ; Cediel-Becerra, J. D. D. ; He, R. ; Rothe, M. L. ; Jenner, M. ; Zhou, S. ; Zhang, Y. ; Fage, C. D. ; Tsunematsu, Y. ; van Wezel, G. P. ; Robinson, S. L. ; Alberti, F. L. ; Alkhalaf, L. M. ; Chevrette, M. G. ; Challis, G. , et al. , PARAS: High-Accuracy Machine-Learning of Substrate Specificities in Nonribosomal Peptide Synthetases. bioRxiv 2025, 2025. DOI: 10.1101/2025.01.08.631717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Gilchrist C. L. M., Booth T. J., van Wersch B., van Grieken L., Medema M. H., Chooi Y.-H. C.. A Remote Search Tool for Rapid Identification and Visualization of Homologous Gene Clusters. Bioinforma. Adv. 2021;1(1):vbab016. doi: 10.1093/bioadv/vbab016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Gilchrist C. L. M., Chooi Y.-H. S.. A CD-Search Enabled Python Toolkit for Analysing Domain Architecture of Fungal Secondary Metabolite Megasynth­(et)­Ases. Fungal Biol. Biotechnol. 2021;8(1):13. doi: 10.1186/s40694-021-00120-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Slot J. C., Rokas A.. Horizontal Transfer of a Large and Highly Toxic Secondary Metabolic Gene Cluster between Fungi. Curr. Biol. 2011;21(2):134–139. doi: 10.1016/j.cub.2010.12.020. [DOI] [PubMed] [Google Scholar]
  44. Pichersky E., Lewinsohn E.. Convergent Evolution in Plant Specialized Metabolism. Annu. Rev. Plant Biol. 2011;62:549–566. doi: 10.1146/annurev-arplant-042110-103814. [DOI] [PubMed] [Google Scholar]
  45. Tannous J., Cosetta C. M., Drott M. T., Rush T.´s A., Abraham P. E., Giannone R. J., Keller N. P., Wolfe B. E.. LaeA-Regulated Fungal Traits Mediate Bacterial Community Assembly. mBio. 2023;14(3):e00769-23. doi: 10.1128/mbio.00769-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Park S. R., Yoo Y. J., Ban Y.-H., Yoon Y. J.. Biosynthesis of Rapamycin and Its Regulation: Past Achievements and Recent Progress. J. Antibiot. 2010;63(8):434–441. doi: 10.1038/ja.2010.71. [DOI] [PubMed] [Google Scholar]
  47. Hibi M., Mori R., Miyake R., Hiroshi K., Shoko K., Takahashi S., Ogawa J.. Novel Enzyme Family Found in Filamentous Fungi Catalyzing Trans-4-Hydroxylation of l-Pipecolic Acid. Appl. Environ. Microbiol. 2016;82(7):2070–2077. doi: 10.1128/AEM.03764-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Herr C. Q., Hausinger R. P.. Amazing Diversity in Biochemical Roles of Fe­(II)/2-Oxoglutarate Oxygenases. Trends Biochem. Sci. 2018;43(7):517–532. doi: 10.1016/j.tibs.2018.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Wurlitzer J. M., Stanišić A., Ina W., Jungmann S., Fischer D., Kries H., Gressler M.. Bacterial-Like Nonribosomal Peptide Synthetases Produce Cyclopeptides in the Zygomycetous Fungus Mortierella Alpina. Appl. Environ. Microbiol. 2021;87(3):e02051. doi: 10.1128/AEM.02051-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Gao X., Haynes S. W., Ames B. D., Wang P., Vien L. P., Walsh C. T., Tang Y.. Cyclization of Fungal Nonribosomal Peptides by a Terminal Condensation-like Domain. Nat. Chem. Biol. 2012;8(10):823–830. doi: 10.1038/nchembio.1047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Suzuki A., Tamura S.. Isolation and Structure of Protodestruxin from Metarrhizium Anisopliae. Agric. Biol. Chem. 1972;36(5):896–898. doi: 10.1080/00021369.1972.10860341. [DOI] [Google Scholar]
  52. Hadas Y., Goldberg I., Pines O., Prusky D.. Involvement of Gluconic Acid and Glucose Oxidase in the Pathogenicity of Penicillium Expansum in Apples. Phytopathology. 2007;97(3):384–390. doi: 10.1094/PHYTO-97-3-0384. [DOI] [PubMed] [Google Scholar]
  53. Tannous J., Barda O., Luciano-Rosario D., Prusky D. B., Sionov E., Keller N. P.. New Insight Into Pathogenicity and Secondary Metabolism of the Plant Pathogen Penicillium Expansum Through Deletion of the Epigenetic Reader SntB. Front. Microbiol. 2020;11:610. doi: 10.3389/fmicb.2020.00610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Hartmann T., Dümig M., Jaber B. M., Szewczyk E., Olbermann P., Morschhäuser J., Krappmann S.. Validation of a Self-Excising Marker in the Human Pathogen Aspergillus Fumigatus by Employing the β-Rec/Six Site-Specific Recombination System. Appl. Environ. Microbiol. 2010;76(18):6313–6317. doi: 10.1128/AEM.00882-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Yu J.-H., Hamari Z., Han K.-H., Seo J.-A., Reyes-Domínguez Y., Scazzocchio C.. Double-Joint PCR: A PCR-Based Molecular Tool for Gene Manipulations in Filamentous Fungi. Fungal Genet. Biol. 2004;41(11):973–981. doi: 10.1016/j.fgb.2004.08.001. [DOI] [PubMed] [Google Scholar]
  56. Tannous J., Kumar D., Sela N., Sionov E., Prusky D., Keller N. P.. Fungal Attack and Host Defence Pathways Unveiled in Near-Avirulent Interactions of Penicillium Expansum creA Mutants on Apples. Mol. Plant Pathol. 2018;19(12):2635–2650. doi: 10.1111/mpp.12734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Blin K., Shaw S., Vader L., Szenei J., Reitz Z. L., Augustijn H. E., Cediel-Becerra J. D. D., de Crécy-Lagard V., Koetsier R. A., Williams S. E., Cruz-Morales P., Wongwas S., Segurado Luchsinger A. E., Biermann F., Korenskaia A., Zdouc M. M., Meijer D., Terlouw B. R., van der Hooft J. J. J., Ziemert N., Helfrich E. J. N., Masschelein J., Corre C., Chevrette M. G., van Wezel G. P., Medema M. H., Weber T.. AntiSMASH 8.0: Extended Gene Cluster Detection Capabilities and Analyses of Chemistry, Enzymology, and Regulation. Nucleic Acids Res. 2025;53(W1):W32–W38. doi: 10.1093/nar/gkaf334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. van den Belt M., Gilchrist C., Booth T. J., Chooi Y.-H., Medema M. H., Alanjary M.. CAGECAT: The CompArative GEne Cluster Analysis Toolbox for Rapid Search and Visualisation of Homologous Gene Clusters. BMC Bioinf. 2023;24(1):181. doi: 10.1186/s12859-023-05311-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Cock P. J. A., Antao T., Chang J. T., Chapman B. A., Cox C. J., Dalke A., Friedberg I., Hamelryck T., Kauff F., Wilczynski B., de Hoon M. J. L., Biopython M. J. L.. Freely Available Python Tools for Computational Molecular Biology and Bioinformatics. Bioinformatics. 2009;25(11):1422–1423. doi: 10.1093/bioinformatics/btp163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Waskom M. L.. Seaborn: Statistical Data Visualization. J. Open Source Softw. 2021;6(60):3021. doi: 10.21105/joss.03021. [DOI] [Google Scholar]
  61. Hunter J. D.. Matplotlib: A 2D Graphics Environment. Comput. Sci. Eng. 2007;9(3):90–95. doi: 10.1109/MCSE.2007.55. [DOI] [Google Scholar]
  62. Mirarab S., Reaz R., Bayzid Md. S., Zimmermann T., Swenson M. S., Warnow T.. ASTRAL: Genome-Scale Coalescent-Based Species Tree Estimation. Bioinformatics. 2014;30(17):i541–i548. doi: 10.1093/bioinformatics/btu462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Zhang C., Rabiee M., Sayyari E., Mirarab S.. ASTRAL-III: Polynomial Time Species Tree Reconstruction from Partially Resolved Gene Trees. BMC Bioinf. 2018;19(6):153. doi: 10.1186/s12859-018-2129-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Katoh K., Standley D. M.. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability. Mol. Biol. Evol. 2013;30(4):772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Capella-Gutiérrez S., Silla-Martínez J. M., Gabaldón T.. trimAl: A Tool for Automated Alignment Trimming in Large-Scale Phylogenetic Analyses. Bioinformatics. 2009;25(15):1972–1973. doi: 10.1093/bioinformatics/btp348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Nguyen L.-T., Schmidt H. A., von Haeseler A., Minh B. Q.. IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies. Mol. Biol. Evol. 2015;32(1):268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Kalyaanamoorthy S., Minh B. Q., Wong T. K. F., von Haeseler A., Jermiin L. S.. ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates. Nat. Methods. 2017;14(6):587–589. doi: 10.1038/nmeth.4285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Xu S., Li L., Luo X., Chen M., Tang W., Zhan L., Dai Z., Lam T. T., Guan Y., Yu G. G.. A Serialized Data Object for Visualization of a Phylogenetic Tree and Annotation Data. iMeta. 2022;1(4):e56. doi: 10.1002/imt2.56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Xu S., Dai Z., Guo P., Fu X., Liu S., Zhou L., Tang W., Feng T., Chen M., Zhan L., Wu T., Hu E., Jiang Y., Bo X., Yu G.. ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data. Mol. Biol. Evol. 2021;38(9):4039–4042. doi: 10.1093/molbev/msab166. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

np5c01531_si_001.pdf (2.2MB, pdf)
np5c01531_si_002.xlsx (516.7KB, xlsx)

Data Availability Statement

The NMR data for compound 1 have been deposited in the Natural Products Magnetic Resonance Database (NP-MRD; www.np-mrd.org) and can be found at NP0352144.


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