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Plastic-Colonizing Fungi in the Eastern Mediterranean Sea: Community Structure and Physiological and Transcriptional Responses of Aspergillus to Pristine and Weathered PET

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15 July 2026

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17 July 2026

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Abstract
Marine plastic debris provides persistent artificial substrates for microbial colonization, yet the fungal component of the plastisphere remains poorly characterized. Using ITS metabarcoding and culture-based isolation approaches, we characterized the early mycobiome associated with polyethylene, polypropylene, polystyrene, and polyethylene terephthalate (PET) plastic pellets deployed in an Eastern Mediterranean Sea (EMS) marina. The sequence-based communities were taxonomically heterogeneous, with only a limited effect of polymer type. Ascomycota, Zoopagomycota, and Basidiomycota were the dominant phyla identified by the ITS sequence analysis, while Linderina and Starmerella were the dominant genera. In contrast, the cultured isolates belonged exclusively to the phyla Ascomycota and Mucoromycota, with the Aspergillus genus accounting for 52.3% of the isolates. We further recorded physiological responses of 11 Aspergillus isolates to pristine and UV-weathered PET, including attachment, pigmentation, and plastic gravimetric weight loss. A. niger OC26 also exhibited strong peroxidase activity, together with a broad transcriptional response to PET exposure, including 216 upregulated genes and significant enrichment of peroxidase- and membrane-associated functions. UV weathering induced a limited but distinct additional transcriptional shift. Together, these findings indicate that early plastic-associated fungal communities in the EMS are taxonomically diverse, and include metabolically versatile Aspergillus strains that mount distinct physiological and transcriptional responses to PET exposure.
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1. Introduction

Since the surge in plastic use ~70 years ago, mismanaged plastic waste has accumulated in the ocean, often exceeding the volume of natural floating debris. An estimated 19 to 23 million metric tons of plastic enter all aquatic systems annually [1], while current estimates suggest that 82–358 trillion plastic particles are afloat in the world’s oceans [2]. Unlike natural floating substrates such as wood or macroalgae, petroleum-based polymers like polyethylene (PE) and polypropylene (PP) are highly durable and are estimated to take hundreds and even thousands of years to fully break down [3,4].
Consequently, marine plastic debris provides a stable anthropogenic habitat that is rapidly colonized by diverse microbial communities, forming a distinct marine ecosystem referred to as the “plastisphere” [5]. The recent accumulation of plastics in the marine environment has introduced a novel, persistent, and chemically distinct ecological niche that may impose new selective pressures on marine microorganisms. Hence, plastisphere communities are not merely passive assemblages of surface-attached cells, but often contain microorganisms with traits that reflect adaptation to life on plastic surfaces, including enhanced attachment, biofilm formation, utilization of plastic additives or weathering-derived compounds, and the expression of enzymes potentially involved in polymer transformation [6,7,8]. Accordingly, it was shown that the early marine microbial communities that are formed on newly introduced plastic surfaces are enriched with polymer-specific pioneer colonizers compared to later biofilm development stages for which the polymer surface is no longer exposed [9].
The plastisphere communities exhibit unique taxonomic, functional, and structural characteristics compared with their surrounding planktonic counterparts and often span multiple trophic levels, including producers, consumers, predators, and decomposers [5]. These communities are highly heterogeneous and are shaped by the spatiotemporal conditions including temperature, salinity, pH, dissolved gases and light availability [10,11]. Weathering of plastics is another major factor in microbial colonization [12,13,14]. UV-induced photooxidation of floating plastic polymers introduces oxygen-containing functional groups, reduces hydrophobicity, increases surface roughness, and generates cracks and oxidized low-molecular-weight compounds, thereby modifying the cues that govern microbial attachment and interaction with plastic surfaces [14,15].
Among the abundant eukaryotes in the marine plastisphere are fungi, yet their ecological and functional roles on marine plastics remain significantly less explored than those of bacteria [16,17,18]. Fungi are heterotrophic eukaryotes characterized by diverse morphologies, life histories, and ecological strategies. Many function as saprotrophs, secreting extracellular enzymes, including laccases and peroxidases, that evolved to degrade natural organic biopolymers such as lignin and cellulose [19]. The resulting low-molecular-weight products are then absorbed and assimilated by the fungal cells. Depending on the substrate and environmental conditions, this process can result in complete biomineralization, reflected by CO₂ release, or partial degradation into smaller carbon compounds that may subsequently be consumed by other microorganisms [20]. Filamentous fungi further enhance surface-associated degradation through hyphal growth, which allows them to explore and physically penetrate surfaces, anchor biofilms, and concentrate enzymatic activity at the substrate interface [21]. Synthetic polymers, such as polyethylene (PE) and polyethylene terephthalate (PET), contain recalcitrant carbon-rich or ester-containing structures that can resemble natural polymeric substrates in their resistance to degradation. For these reasons, marine fungi are increasingly recognized as potential agents of plastic biodeterioration, transformation, and, in some cases, biomineralization [22,23,24].
Although marine plastic-associated fungal taxonomy may greatly vary across different geographic locations and environmental conditions, the dominant plastisphere fungi phylum is Ascomycota in most cases [25,26]. Specific genera within this phylum, such as Aspergillus and Trichoderma, have already demonstrated the ability to utilize polymers like PE as a carbon source through enzymatic activity [27,28,29]. However, little is known about the Eastern Mediterranean Sea (EMS) plastisphere mycobiome and the physiological responses and interactions of its members with plastic surfaces.
In this study, we investigated the diversity and functional potential of pioneer fungal colonizers associated with PE, PP, PET, and PS plastic polymer pellets deployed in an EMS marina. We used ITS metabarcoding to characterize polymer-associated fungal communities, complemented by a culture-dependent approach for the morphological and functional characterization of fungi isolated from marine plastics. We further examined the responses of 11 culturable Aspergillus isolates to pristine PET (PPET) and UV-weathered PET (WPET) by assessing adhesion, pigmentation, peroxidase activity, and potential plastic biodegradation. To explore the molecular basis of these responses, we selected and investigated an Aspergillus niger isolate under three conditions: no plastic, PPET, and WPET. This approach enabled us to identify differentially expressed genes and pathways potentially involved in fungal adhesion to PET, oxidative stress responses, pigmentation and plastic-associated degradation processes in this isolate.

2. Results

2.1. Diversity of EMS Plastic-Derived Fungi

ITS reads were analyzed to assess alpha diversity within samples and beta diversity among samples. Fungal richness, estimated using the Chao1 index, did not differ significantly among polymer types (Figure S1a). In contrast, Shannon diversity showed modest but significant variation across polymers (Figure S1b; Kruskal–Wallis test, p = 0.027), with PP samples displaying higher diversity values on average. Bray–Curtis dissimilarity analysis did not reveal strong clustering according to polymer type. Nevertheless, PERMANOVA detected a significant compositional difference between PE and PP communities (FDR = 0.048; Figure S1c). Overall, these results indicate that polymer type exerted only a limited influence on the structure of the two-week-old pioneer mycobiome.
Variations were observed in the relative abundance of the dominant genera among polymers and biological replicates (Figure 1). Overall, Linderina was the most abundant genus, showing the highest relative abundance in half of the samples (12/24), primarily in PE and PET, accounting for an average of 33.9% of ITS reads per sample. Most of the remaining samples were dominated by the yeast genus Starmerella, particularly in PP and PS, with an average relative abundance of 16.73%. Other genera represented within the 15 most abundant taxa included Chaetothyrina (4.33%), Malassezia (4.18%), Lomentospora (2.78%), Trichanina (2.63%), Tuber (2.62%), Aspergillus (2.33%), Saccharomyces (2.22%), Meira (2.15%), Paracremonium (1.87%), Spiromyces (1.67%), Capronia (1.23%), Jobellisia (1.18%), and Metarhizium (1.17%).

2.2. Isolation of Pure Marine Fungal Strains from Plastic

Following inoculation of the recovered plastic pellets and glass beads onto agar plates, visible hyphal growth typically appeared within 48 h to a week at 28°C (Figure S2), whereas full mycelial expansion across the agar surface required up to two weeks (Figure S3). Our inoculation procedure yielded consistent fungal growth from the samples onto malt extract agar (MEA) medium, most often as a single strain per pellet (Figure S2). In total, 109 isolates representing 21 distinct morphotypes grew out of the inoculated samples, with only two isolates obtained from the glass beads (Table S1). More than half of the isolates were recurrently isolated from at least two different plastic polymers (Table S1). The most frequently recovered isolate was OC26 (26 of the 109 occurrences), with the closest database match to Aspergillus niger, followed by OC2 (23 occurrences), identified as Cladosporium sphaerospermum. Other common isolates included OC9 (Alternaria destruens; 11 occurrences), OC15 (Waltergamsia pilosa; 8 occurrences), OC8 (Allophoma yuccae.; 6 occurrences), OC11 and OC3 (Penicillium steckii and Mucor sp. respecivley; 5 occurences each) (Table 1).

2.3. Fungal Isolation Introduced Taxonomic Bias Toward Ascomycota and the Genus Aspergillus

ITS metabarcoding detected fungi from several phyla, predominantly Ascomycota, Zoopagomycota, Basidiomycota, and Mucoromycota (Figure 2a), whereas the cultured isolates were restricted to only two phyla: Ascomycota and Mucoromycota (Figure 2b). Ascomycota was strongly overrepresented in the cultivation-derived dataset, comprising 95.2% of all isolates compared with only 47.8% of the ITS metabarcoding dataset. This bias was even more pronounced at the genus level. The composition of the ten most abundant genera differed substantially between the metabarcoding dataset and the cultivated isolate collection. Except for Aspergillus, no genera were shared among the ten most abundant genera in both datasets. The metabarcoding dataset was dominated by Linderina (33%) and Starmerella (17%), followed by Malassezia (5.2%) and Chaetothyrina (4.7%). In contrast, the cultivated collection was dominated by Aspergillus, which accounted for 52.3% of all isolates, followed by Penicillium (9.5%).

2.4. Plastic-associated Aspergillus isolates

Because Aspergillus represented a substantial proportion of the plastic-derived fungal isolate collection, this genus was selected for further investigation of fungal-plastic interactions. In total, 11 distinct Aspergillus isolates were recovered, differing in colony morphology and pigmentation (Figures S3), as well as in the size, internal structure, and spore-bearing capacity of their fruiting bodies (Figure 3). The morphological characterization combined with the ITS barcoding results (Table 1), suggested that each isolate belong to a distinct Aspergillus strain.

2.5. Response of Aspargillus Isolates to the Presence of Pristine PET (PPET) and Weathered PET (WPET)

The different Aspargillus isolates showed physiological response to the presence of the PET sheets. Repsonses included pigmanation of dark brownish color, surface attachment in some cases, and peroxidase activity. The increased pigmantation occurred in the presence of PPET (isolates OC14, OC12) or WPET (isolates OC23 and OC26) or in both (isolates OC6, OC7, OC10, OC20, OC21 and OC24) (Table 2, Figure S4). Surface attachment with gentle shaking was observed strictly in the presence of WPET in isolates OC7, OC10, OC14, OC24 and OC26 wheras fungal hyphae tended to concentrate in the thin edges of WPET squares (Figure S4). Significantly high peroxidase activity was detected in A. niger cultures in the presence of WPET, while the other Aspergillus isolates presented either very little or no activity in one-week cultures (Table 2). The six-week (42-day) gravimetric weight-loss assay revealed a 0.10–0.21% reduction in WPET weight relative to the corresponding PPET controls in 7 of the 10 tested strains (Table 2).
Figure 4. Responses to the presence of PPET and WPET. (a) Normalized peroxidase activity in the presence of WPET, measured by the chromogenic reaction produced using the Amplex™ Red Hydrogen Peroxide/Peroxidase Assay Kit. (b) Differences in pigmentation and attachment responses of isolate OC14 in the presence of PPET versus WPET. (c) Attachment of isolate OC24 on WPET. Attachment to the square WPET surfaces is indicated by black arrows.
Figure 4. Responses to the presence of PPET and WPET. (a) Normalized peroxidase activity in the presence of WPET, measured by the chromogenic reaction produced using the Amplex™ Red Hydrogen Peroxide/Peroxidase Assay Kit. (b) Differences in pigmentation and attachment responses of isolate OC14 in the presence of PPET versus WPET. (c) Attachment of isolate OC24 on WPET. Attachment to the square WPET surfaces is indicated by black arrows.
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2.6. Differential Trasncriptomic Responses of A. niger OC26 to WPET and PPET

mRNA sequencing was performed on A. niger OC26 cultures grown either in the absence of PET (NP) or in the presence of PPET or WPET (Figure 5a; n = 3 per condition). Sequencing generated a total of 11.22 million reads, with read lengths ranging from 100 bp to 3.4 kb and an N50 read length of 1.15 kb (Figure S5). Of these, 9,622,211 reads (85.74%) mapped to the reference A. niger genome (GCF_000002855.4), corresponding to 10,828 expressed genes.
PCA analysis revealed clear separation of samples according to the three experimental conditions (Figure 5b), indicating a condition-dependent transcriptomic response. Consistently, analysis of the 120 most variable genes showed marked transcriptional differences between PET-exposed cultures (PPET and WPET), compared to the NP cultures (Figure 5c). Differential expression analysis identified 216 genes that were overexpressed in PET-containing cultures relative to NP cultures (Table S6), whereas 12 genes were overexpressed in WPET cultures compared with PPET cultures (Figure 5d). Comparative GO-term enrichment analysis revealed strong enrichment of peroxidase-related functions, with fold changes ranging from 6.8 to 24.4, followed by more moderate but significant enrichment of membrane-related functions, with fold changes ranging from 1.2 to 1.5 (Figure 5e).
Among the differentially expressed genes (Table S6), promising candidates were identified that may contribute to the physiological adaptation of Aspergillus niger to the polymer surface and the metabolism of PET-associated compounds. These included genes encoding a peroxidase [An02g10480], cytochrome P450 [An11g08810], dienelactone hydrolase [An14g01430], aromatic ring-opening dioxygenase LigB subunit [An12g07530], salicylate hydroxylase [An07g00550], 2,4-dichlorophenol 6-monooxygenase [An04g04680], and several oxidoreductases [An04g08020, An04g04170, An02g10680, and An09g01080], which may contribute to oxidative stress management and the transformation of aromatic intermediates. The induction of an adhesin [An16g04900], a FAS1 domain-containing protein [An16g07370], MFS transporters [An16g01000, An04g08250, An07g01220, An02g08970, An01g04100, An12g03550, and An15g02190], an ABC transporter [An09g01700], catalase R [An01g01550], and oxidation resistance protein 1 [An16g02160] further suggests coordinated surface attachment, detoxification, and stress adaptation. In addition, the induction of a polyketide synthase [An04g04340] and a Nor-1-like ketoreductase [An11g02460] may indicate activation of pigment-associated secondary metabolism, potentially contributing to melanization and protection against PET-associated oxidative stress. Nevertheless, the direct involvement of these genes in melanin production or PET depolymerization remains to be experimentally validated.

3. Discussion

In this study, we applied an integrative approach to characterize the early fungal colonization of marine plastics in the EMS and to investigate the physiological and molecular responses of plastic-associated fungi to plastic exposure. By combining ITS metabarcoding, culture-dependent isolation, physiological assays, and transcriptomic profiling of an A. niger isolate, we linked community-level patterns with functional insights into fungal adaptation to and interaction with plastic surfaces.
The plastic-attached fungal composition was broadly consistent with previous marine plastisphere studies showing that plastic-attached fungal communities are commonly dominated by Ascomycota, with additional contributions from Basidiomycota and Mucoromycota or other early-diverging fungal lineages [20,30,31,32]. Chytridiomycota, a primarily aquatic phylum that is frequently reported in marine plastisphere fungal communities, did not represent a significant fraction of the fungal community in our study [30]. This suggests that chytrid-mediated parasitic or host-associated interactions were not a prominent feature of the early plastisphere mycobiome under the conditions examined. In contrast, Zoopagomycota (Formerly part of the Zygomycota phylum) were notably represented in our dataset, suggesting potential trophic complexity within the early plastisphere mycobiome. As members of this phylum often exhibit parasitic, predatory, or host-associated lifestyles [33], their presence may reflect biotic interactions within the biofilm, although this cannot be inferred from metabarcoding data alone.
We note that the composition of the plastisphere mycobiome is strongly influenced by the geographic location, the local environmental conditions, and the duration of plastic submersion [34,35]. Accordingly, a consistent and broadly shared taxonomic core is not necessarily expected across different studies. The Mediterranean Sea is a semi-enclosed, highly oligotrophic basin characterized by high solar irradiance and strong seasonal temperature gradients [36,37]. In addition to these regional environmental pressures, the Herzliya Marina represents a locally impacted coastal habitat, exposed to petroleum-derived hydrocarbons such as boat fuel, lubricating oils, and other marina-associated contaminants. Nevertheless, differences among studies are expected even when geographic location is excluded as a contributing factor. Indeed, our previous mycobiome analysis conducted in Herzliya Marina revealed a different composition of plastisphere-associated fungal genera [38]. These differences may reflect differences in the year and season of deployment, as well as in the duration of plastic incubation between the two studies.
Our plastic mycobiome analysis suggests that pioneer fungal colonization of marine plastics is only weakly shaped by polymer-specific selection and may instead be influenced by other niche-specific ecological factors or stochastic events. Similar results were obtained in a two-weeks brackish ecosystem incubation study by [30], showing no significant differences in fungal 18S community composition on PE compared to PS surfaces. A more recent marina incubation study by [32] that tested the fungal community on conventional PS foams and their biodegradable alternatives over a period of nine weeks, showed a limited, context-dependent polymer-specific effect.
In addition to the ITS metabarcoding, culture-independent approach, we utilized traditional cultivation techniques to isolate live fungi. While metabarcoding provides a broader view of environmental fungal diversity, including uncultured or low-abundance taxa, culture-based approaches selectively recover viable fungi capable of growing under the imposed laboratory conditions [16]. As expected, laboratory cultivation recovered a narrower mycobiome fraction, strongly biased toward Ascomycota and particularly the genus Aspergillus, which accounted for more than half of the isolate collection. The discrepancy between our culture-dependent isolation and the ITS metabarcoding results is consistent with previous marine fungal studies showing that these approaches capture partly overlapping but distinct fractions of fungal diversity [20,39].
Recent literature highlights several examples of marine and coastal fungi with plastic-associated degradative potential. The marine fungus Zalerion maritimum was reported to cause substantial mass loss of PE microplastics over a two-week incubation period [40], while other ascomycete genera, including Fusarium and Penicillium, have also shown polymer-modifying capabilities [22,41]. For example, Fusarium solani has been shown to hydrolyze PET into terephthalic acid (TPA) through cutinase activity [23], and several Penicillium species isolated from marine or coastal environments have demonstrated the ability to modify or degrade PE and high-density polyethylene (HDPE) [42,43]. Members of the genus Aspergillus are among the most frequently reported fungi associated with plastic colonization and biodegradation, reflecting their ecological flexibility, stress tolerance, and broad enzymatic repertoire [22,44]. Marine-adapted strains of Aspergillus, including A. terreus, A. flavus, and A. niger, have been reported to attach to and modify synthetic polymers such as PE, polyurethane (PU), and PET. These interactions involve mechanisms such as hyphal colonization, surface erosion, oxidative activity, and the secretion of extracellular enzymes, including esterases, lipases, cutinases, laccases, and peroxidases [22,45]. However, despite these observations, the broader physiological and transcriptional responses of Aspergillus to plastic exposure remain poorly understood.
In this study, we demonstrated pronounced physiological responses of Aspergillus isolates to PET, including surface attachment, morphological changes, and altered pigmentation. Most isolates exhibited attachment to PET surfaces, with attachment generally more pronounced on WPET. Interestingly, several isolates also displayed phenotypic changes in the presence of PET despite no detectable surface attachment, including alterations in colony morphology and pigmentation. These observations suggest that Aspergillus may possess sensitive mechanisms for detecting and responding to PET or PET-associated chemical cues without requiring direct attachment. Notably, pigmentation responses were not consistently associated with either attachment capacity or UV weathering, as some isolates exhibited stronger pigmentation in the presence of pristine PET, whereas others showed increased pigmentation in response to WPET.
The gravimetric assay revealed only limited WPET weight loss (0.1–0.21%, corresponding to approximately 0.002–0.005% per day). We therefore interpret the recovered Aspergillus isolates not as specialized or efficient PET degraders, but rather as metabolically versatile colonizers capable of sensing, attaching to, and potentially modifying weathered plastic surfaces during early-stage colonization. The detection of peroxidase activity in A. niger OC26 provides functional support for the involvement of oxidative processes in plastic biodeterioration. Fungal peroxidases, together with laccases and other oxidoreductases, are involved in the modification of recalcitrant organic substrates and have been implicated in the oxidative transformation of synthetic polymers [22,46]. Accordingly, the heightened peroxidase activity detected in A. niger OC26 cultures exposed to WPET indicates a distinct enzymatic response to PET exposure. This physiological response was further supported by the transcriptomic data, which revealed strong enrichment of peroxidase-related functions, a directly upregulated peroxidase candidate, and multiple genes potentially involved in activating a broader oxidative system responsible for both the generation and detoxification of reactive oxygen species during PET exposure. Collectively, these findings suggest that A. niger OC26 may actively contribute to oxidative modification of the plastic surface and/or the metabolism of weathering-derived leachates.
A. niger OC26, similar to several of the other Aspergillus isolates, exhibited increased pigmentation in the presence of WPET. This response may reflect stress-induced melanization triggered by the oxidized plastic interface, potentially protecting fungal hyphae against reactive oxygen species (ROS) associated with the polymer surface [15,47,48,49]. Consistent with this interpretation, our transcriptomic analysis revealed the induction of a polyketide synthase and a Nor-1-like ketoreductase, suggesting activation of pigment-associated secondary metabolism that may contribute to melanization and protection against PET-associated oxidative stress.
The induction of genes encoding a peroxidase, cytochrome P450, dienelactone hydrolase, aromatic ring-opening dioxygenase, and other oxidoreductases suggests that A. niger responds to PET by activating oxidative and xenobiotic metabolic pathways. Together with the upregulation of genes involved in adhesion, membrane transport, and oxidative stress protection, these findings support a model in which PET exposure triggers coordinated physiological adaptation to the polymer surface and facilitates the transformation of PET-associated compounds. While these genes represent promising candidates for PET-associated metabolism, their direct involvement in PET depolymerization remains to be experimentally validated.
Together, our findings show that the early marine plastisphere harbors taxonomically diverse fungi and metabolically versatile Aspergillus isolates that mount distinct physiological responses to PET exposure. In particular, the coordinated attachment, pigmentation, peroxidase activity, limited weight loss, and transcriptional reprogramming observed in A. niger OC26 support a model in which plastic-associated fungi actively adapt to weathered PET surfaces and may contribute to their oxidative modification and the utilization of PET-associated or weathering-derived compounds.

4. Materials and Methods

4.1. Deployment of Plastic Pellets in the EMS

Sterilized industrial pellets of four polymers- PE (Ipethene®, Carmel Olefines), PP (CAPILENE® W 77 AV, Carmel Olefines), PS (Styrolution® PS 124L, INEOS Styrolution), and PET (CZ-328, ZADE) were deployed in the waters of the Herzliya Marina (32° 09′ 38.8" N 34° 47′ 35.0" E) during October 2024. Sterilized glass beads (5 mm, 104017, Sigma) served as non-plastic controls. Pellets were placed in sterile 5 × 5 cm organza mesh bags (MO45600, Apath international) with six replicate bags per polymer (n= 24 total). All bags were submerged for 14 days at depths of 30-50 cm, retrieved, and rinsed with sterile, filtered artificial seawater (FASW) to remove loosely attached material.

4.2. Isolation of Pure Fungal Strains from Plastic and Stock Preparation

Fungal isolation was performed by following a modified protocol based on [50]. Five pellets from each mesh bag were placed onto 0.02 % Chloramphenicol-supplemented isolation medium (Table S2). Emerging colonies were sub-cultured (2–3 transfers) onto fresh Malt Extract Agar (MEA) culturing plates (Table S3) until pure cultures were obtained. Purity was confirmed by consistent colony morphology and microscopic examination of colony structures, hyphae and fruiting bodies. For stock preparation, hyphae from actively growing colony margins were transferred into 2 mL cryotubes containing storage medium (Table S4) and incubated for one week. The cryotubes were then gradually frozen (2 h at 4 °C, 2 h at -20 °C and -80 °C for storage).

4.3. Microscopy and Morphological Characterization

Hyphae and fungal reproductive structures were visualized using lactophenol cotton blue (LPCB) staining. Sterile coverslips were placed on inoculated agar plates and incubated for 3–7 days. Colonized coverslips were then mounted on glass slides with LPCB solution (Sigma), gently washed to remove excess stain, and examined using a Nikon Eclipse Ci-L microscope equipped with a Nikon DS-Fi3 CMOS camera.

4.4. DNA Extraction

DNA from environmental samples and pure fungal cultures was extracted using a phenol–chloroform-based protocol. Plastic pellets or fungal mycelium were transferred into lysis buffer (Table S5), together with approximately 0.4 g of sterile 425–600 µm glass beads. Samples were homogenized by bead beating and subjected to two freeze–thaw cycles in liquid nitrogen. Proteinase K (5 U/µL) was then added, and samples were incubated for 60 min at 55 °C until complete fungal tissue lysis was achieved. Subsequent extraction steps were performed according to the protocol described in [51].

4.5. ITS Barcode Amplification and Sequencing

ITS2 region was amplified using primers ITS86-F (5'- GTGAATCATCGAATCTTTGAA- 3') and ITS4-R (5'- TCCTCCGCTTATTGATATGC- 3') in similar to [52]. For isolate identification, PCR products were sequenced by Sanger (Hylabs Ltd.). For community profiling, amplicons were purified (QIAquick PCR purification kit, QIAGEN), quantified, and prepared using the Oxford Nanopore Technologies (ONT) Native Barcoding Kit (SQK-NBD114.24). Libraries were loaded and sequenced on a MinION Mk1B with an R10.4.1 flow cell.

4.6. Downstream ITS Read Processing and Analysis

To determine the taxonomic identity of individual fungal isolates, Sanger-derived ITS sequences were queried using BLASTn against the NCBI Core Nucleotide database (core_nt), and taxonomy was assigned based on the closest matches. To characterize fungal community structure, raw Nanopore reads (~24.7 million) were basecalled and trimmed using MinKNOW and subsequently processed with EPI2ME wf-16s v1.5.0. Reads ranging from 300 to 500 bp were classified using Kraken2 against the EPI2ME default NCBI 16S/18S/28S/ITS targeted-loci database, using k = 35 and a minimum of 10 matching k-mers. Low-abundance taxa represented by fewer than 10 reads across the dataset were removed. Following filtering, 14,957,004 of 15,761,417 reads (94.9%) were successfully assigned taxonomy. Relative abundance data were normalized by total-sum scaling. Alpha diversity, including richness and Shannon diversity, and beta diversity based on Bray–Curtis dissimilarity and principal coordinate analysis (PCoA), were calculated using MicrobiomeAnalyst [53]. Differences between treatments were assessed using PERMANOVA.

4.7. Plastic Weathering

WPET was obtained based on PPET sheets (6 mm thickness; SKYPET BR, ResMarts, USA) that were subjected to accelerated UVB weathering using a QUV accelerated weathering tester (Q-Lab). The PPET sheets were exposed to UVB radiation at 280–315 nm and an intensity of 1.2 W m⁻² nm⁻¹ for 2–7 days, as previously described in [14].

4.8. Preparation of Spore Suspension for the Inoculation of the Cultures

Spore suspensions were generated by washing sporulating isolates that were grown at 28 °C on MEA plates with 5ml FASW containing 0.01% Tween 20. The resulting suspensions were filtered through sterile cotton to remove hyphal fragments, and spore concentrations were determined using a hemocytometer and adjusted to 1 × 10⁶ spores/mL with sterile FASW. Flasks were inoculated with 100 µL of the standardized spore suspensions.

4.8. Gravimetric PET Degradation Assay

PET degradation was assessed using a gravimetric approach. Five PPET and five WPET squares (1 × 1 cm) were prepared for each culture. The PET squares were weighed using high-precision analytic scale, sterilized with 70% ethanol and transferred to 250 mL flasks containing 50ml of malt extract broth for the first week which was replaced with carbon-free Bushnell-Haas (BH) [14] after 7 days . Flasks were inoculated and incubated for 42 days at 28 °C with shaking at 80 rpm. Non-inoculated control flasks were included to monitor potential contamination and abiotic plastic mass changes. Following incubation, fungal hyphae were removed from the plastic using 1% sodium hypochlorite. The naked PET pieces were then rinsed with water and 70% ethanol, dried overnight, and reweighed. PET mass loss was calculated as the percentage reduction in mass relative to the initial weight: [(initial weight − final weight) / initial weight] × 100.

4.9. Peroxidase Activity Assay

To assess PET-induced peroxidase activity, isolates were inoculated using 100 µL of a spore suspension into 50 mL flasks containing approximately 1 g of UV-weathered PET sheets in malt extract broth. Cultures were incubated for one week at 28 °C with shaking at 80 rpm. Following incubation, the culture medium was collected and centrifuged at 20,000 × g for 2 min to remove cellular debris.
For each sample, the supernatant was divided into two aliquots. One aliquot was heat-treated at 90 °C for 15 min to inactivate peroxidase activity, serving as background control, while the second aliquot remained untreated. Both aliquots were then loaded onto a 96-well plate in triplicate. Peroxidase activity in the untreated supernatant was quantified relative to the corresponding heat-treated control using the Amplex™ Red Hydrogen Peroxide/Peroxidase Assay Kit (Invitrogen), according to the manufacturer’s instructions. Fluorescence at 590 nm was measured using an Infinite 200 PRO microplate reader (Tecan).

4.10. Transcritpomic Response of A. niger Isolate OC26 to PET – Experimetal Setup

Isolate OC26 was cultured in the presence of PPET, WPET, or without plastic (NP). Cultures were grown in 250 mL flasks containing 50 mL malt extract broth with five PET sheets (1 × 1 cm) per flask, inoculated with 1 × 10⁶ spores/mL, and incubated in a shaker incubator at 28 °C, 80 rpm for 5–7 days. Mycelia were then harvested for RNA extraction as described below.

4.11. RNA Extraction

Collected mycelia were washed with double-distilled water (DDW), partially dried, and transferred into 2 mL cryotubes containing RNA-free glass beads (Sigma). Samples were flash-frozen in liquid nitrogen and lysed in DCT buffer supplemented with β-mercaptoethanol (1:100) using the InviTrap® Spin Plant RNA Mini Kit. Tubes were incubated at 56 °C with intermittent vortexing and subjected to repeated snap freeze–thaw cycles until complete tissue disruption was achieved. RNA extraction was then completed according to the manufacturer’s protocol. RNA quality and concentration were assessed using an Agilent 4200 TapeStation.

4.12. cDNA Libraries Preperation and Sequencing

cDNA libraries were prepared using the ONT PCR-cDNA barcoding kit (PCB-SQK-111.24) and sequenced on a MinION platform using a FLO-MIN106D (R9) flow cell, generating ~12.78 Gb of data (~11.22 million reads). Basecalling, barcode assignment, and adapter trimming were performed using MinKNOW.

4.13. Transciptome Read Processing and Analysis

High-quality reads were aligned to the A. niger CBS 513.88 reference genome (GCF_000002855.4) using Minimap2 [54]. Gene counts were generated from BAM files using HTSeq [55] within the Galaxy platform [56] and imported into RStudio [57] for downstream analysis. Genes with fewer than 0.5 counts per million (CPM) were filtered out, leaving 9,354 genes for downstream analysis. Among these, 7,795 genes were successfully converted to Ensembl gene IDs, while the remaining 1,559 genes were retained with their original identifiers. Differential gene expression analysis was performed using the iDEP.96 platform [58]. Data was normalized using regularized log transformation for principal component analysis and clustering. Differentially expressed genes were identified using DESeq2 [59], applying thresholds of fold change ≥2 and false discovery rate (FDR) ≤0.1. Functional enrichment analysis of differentially expressed genes was performed using DAVID [60] , with the A. niger gene set used as the background. Intersections among gene sets were visualized using the UpSetR [61].

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org.

Author Contributions

Conceptualization, SSI and MO; Methodology, SSI, DP and KD.; Formal Analysis, SSI, DP; Investigation, MO and SSI.; Data Curation, SSI and DP.; Writing – Original Draft Preparation, MO.; Writing - Review & Editing, SSI, DP, KD and MO; Supervision, MO.; Project Administration, MO.; Funding Acquisition, MO.

Funding

This work was funded by Israel Science Foundation (ISF) through Personal Grant 1556/23.

Data Availability Statement

All sequencing data generated in this study have been deposited in NCBI databases. A. niger isolate OC26 ITS barcode is available in GenBank under accession numbers PZ359197-PZ359216. Nanopore-based community ITS metabarcoding data and RNA-seq data are available in the NCBI Sequence Read Archive (SRA) under BioProject accession number PRJNA1467171 and PRJNA1455216 respectively.

Acknowledgments

We would like to thank the current and former members of the Molecular Ecology Laboratory at Ariel University, particularly Aiswarya Kartha and Meti Gizaw, for their insightful discussions, technical assistance, and continuous support throughout this study. We also gratefully acknowledge Carmel Olefines and INEOS Styrolution for supplying the industrial plastic pellets used in the colonization experiments.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Relative abundance of 15 most dominant fungal genera identified in each of the plastic polymer samples (six repeats per polymer).
Figure 1. Relative abundance of 15 most dominant fungal genera identified in each of the plastic polymer samples (six repeats per polymer).
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Figure 2. Taxonomic composition of fungal communities associated with marine plastic samples. (a, b) Plastic-associated phylum-level fungal composition based on ITS metabarcoding (a) or isolation on MEA media (b). (c, d). Fungal genus-level composition based on: ITS metabarcoding (c) or isolation on MEA media (d).
Figure 2. Taxonomic composition of fungal communities associated with marine plastic samples. (a, b) Plastic-associated phylum-level fungal composition based on ITS metabarcoding (a) or isolation on MEA media (b). (c, d). Fungal genus-level composition based on: ITS metabarcoding (c) or isolation on MEA media (d).
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Figure 3. Fruiting bodies of different Aspergillus isolates stained with Lactophenol Cotton Blue (LPCB): (a) OC6 (b) OC7 (c) OC10.2 (d) OC12 (e) OC14 (f) OC18 (g) OC20 (h) OC21 (i) OC23 (j) OC24 (k) OC26. Scale - 20 µm.
Figure 3. Fruiting bodies of different Aspergillus isolates stained with Lactophenol Cotton Blue (LPCB): (a) OC6 (b) OC7 (c) OC10.2 (d) OC12 (e) OC14 (f) OC18 (g) OC20 (h) OC21 (i) OC23 (j) OC24 (k) OC26. Scale - 20 µm.
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Figure 5. Transcriptional response of fungal isolate OC26 to the presence of WPET and PPET. (a) OC26 cultures in the presence of PPET, WPET and without plastic (NP). Black arrows indicate attachment to WPET (b) Principal component analysis (PCA) of the three conditional transcriptomes (with three repeats each). (c) Heatmap of the top differentially expressed genes with FC >2 and p-value < 0.05 across WPET, PPET, and NP. (d) Numbers of differentially expressed genes according to Deseq2 DEG. In red - intersections of genes that were upregulated in the presence of PET (PPET+WPET, 216 genes) compared with no-plastic control, or in the presence of WPET compared to PPET (12 genes). (e) Top enrichment clusters of genes upregulated in response to the presence of plastic (WPET and PPET), identified using the DAVID platform.
Figure 5. Transcriptional response of fungal isolate OC26 to the presence of WPET and PPET. (a) OC26 cultures in the presence of PPET, WPET and without plastic (NP). Black arrows indicate attachment to WPET (b) Principal component analysis (PCA) of the three conditional transcriptomes (with three repeats each). (c) Heatmap of the top differentially expressed genes with FC >2 and p-value < 0.05 across WPET, PPET, and NP. (d) Numbers of differentially expressed genes according to Deseq2 DEG. In red - intersections of genes that were upregulated in the presence of PET (PPET+WPET, 216 genes) compared with no-plastic control, or in the presence of WPET compared to PPET (12 genes). (e) Top enrichment clusters of genes upregulated in response to the presence of plastic (WPET and PPET), identified using the DAVID platform.
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Table 1. Taxonomic identity and occurrence frequency of fungal isolates from incubated samples.
Table 1. Taxonomic identity and occurrence frequency of fungal isolates from incubated samples.
Isolate ITS-based taxonomic identification Phylum Total isolates (n)
OC2 Cladosporium sphaerospermum Ascomycota 23
OC3 Mucor sp.* Mucoromycota 5
OC6 Aspergillus oryzae ** Ascomycota 2
OC7 Aspergillus nidulans Ascomycota 3
OC8 Allophoma yuccae Ascomycota 6
OC9 Alternaria destruens Ascomycota 11
OC10.2 Aspergillus chevalieri Ascomycota 1
OC11 Penicillium steckii Ascomycota 5
OC12 Aspergillus oryzae ** Ascomycota 3
OC13 Purpureocillium lilacinum Ascomycota 1
OC14 Aspergillus ochraceus Ascomycota 1
OC15 Waltergamsia pilosa Ascomycota 8
OC18 Aspergillus violaceus Ascomycota 2
OC19 Candida parapsilosis Ascomycota 2
OC20 Aspergillus sydowii Ascomycota 4
OC21 Aspergillus latilabiatus Ascomycota 1
OC22 Penicillium hirsutum Ascomycota 2
OC23 Aspergillus baeticus Ascomycota 1
OC24 Aspergillus terreus Ascomycota 1
OC25 Cyphellophora oxyspora Ascomycota 1
OC26 Aspergillus niger Ascomycota 26
* Based on morphology alone. ** identified as different strains by morphology (Figure S3)
Table 2. Weight loss, pigmentation and peroxidase activity of Aspergillus isolates in the presence of WPET and PPET.
Table 2. Weight loss, pigmentation and peroxidase activity of Aspergillus isolates in the presence of WPET and PPET.
Isolate* Weight lost (WPET vs. PPET) ** Attachment Pigmentation Peroxidase activity WPET (A 690nm) compared to heat-inactivated control
PPET WPET PPET WPET
OC6 - - - ++ ++ 0.67
OC7 - - + ++ ++ 0
OC10.2 0.15% - + +++ +++ 0
OC12 0.15% + + ++ + 1.67
OC14 0.17% - + ++++ + 7.67
OC20 0.1% - - +++ +++ 9.33
OC21 - + + +++ +++ 2
OC23 0.21% - - n/a ++ n/a
OC24 0.17% - + ++ ++ 0
OC26 0.2% - + + ++ 758
* Isolate OC18 did not grow from stock. ** Average percent (n=3)
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