Iron acquisition strategies of the rock-inhabiting fungus Knufia petricola reveal vulnerability to chelator-based mitigation

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Knufia petricola acquires iron via reductive assimilation, relying less on extracellular siderophores and melanin, and exhibits sensitivity to iron chelators like EDTA.

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This paper investigated how the rock-inhabiting fungus Knufia petricola acquires iron on stress-rich but competition-free material surfaces, combining genome-informed gene studies with mutant phenotyping. The authors found that K. petricola relies mainly on reductive iron assimilation (a ferroxidase–iron permease–type system) rather than siderophore-mediated uptake, and that it produces an extracellular but undefined siderophore that supports growth toward an iron source; however, direct assimilation of ferric citrate was not observed. Disrupting melanin synthesis showed that DHN melanin can reduce and adsorb iron yet does not contribute substantially to iron acquisition, and the fungus (and related rock-inhabiting black fungi) exhibited high sensitivity to strong iron chelators such as EDTA, BPS, and similar compounds. A key limitation is that the siderophore itself remains undefined in this work. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Fungal iron acquisition has mostly been studied for pathogens living in competitive environments where securing iron from the host is critical for proliferation. How fungi from stress-rich but competition-free material surfaces handle iron uptake is, however, unknown. We studied these processes in rock-inhabiting fungi, known for their constitutive melanin-production, extremotolerant lifestyle and colonization of exposed surfaces such as solar panels and marble monuments, by choosing Knufia petricola to represent this group. The characterization of targeted mutants showed that K. petricola produces an extracellular – yet undefined – siderophore on which it relies less than on the ferroxidase-iron permease complex for reductive iron assimilation. By disrupting melanin synthesis, it was demonstrated that this pigment can reduce and adsorb iron but nevertheless does not contribute significantly to iron acquisition. Moreover, growth towards an iron source was found to be siderophore-dependent. Ferric citrate could not be directly assimilated. Finally, it was found that K. petricola and other rock-inhabiting fungi exhibited high sensitivity to strong iron chelators such as EDTA. These observations not only offer a potential mitigation strategy for preventing fungal colonization of subaerial materials using iron chelators, but also highlight the specialized adaptations of these fungi to low-competition environments. Importance The rock-inhabiting fungus Knufia petricola acquires iron primarily via reductive iron assimilation, independently of the iron-adsorbing and -reducing melanin. Its siderophore, although extracellular and allowing chemotropism towards an iron source, is not able to obtain iron from strong iron chelators such as BPS and EDTA. This sensitivity to iron sequestration opens avenues to mitigate the fungal colonization of materials such as solar panels.
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Gorbushina doi: https://doi.org/10.1101/2025.11.18.689051 Ruben Gerrits 1 Bundesanstalt für Materialforschung und -prüfung (BAM) , Berlin, Germany Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Ruben Gerrits Julia Schumacher 1 Bundesanstalt für Materialforschung und -prüfung (BAM) , Berlin, Germany 2 Freie Universität Berlin , Berlin, Germany Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Julia Schumacher For correspondence: Julia.Schumacher{at}bam.de Anna A. Gorbushina 1 Bundesanstalt für Materialforschung und -prüfung (BAM) , Berlin, Germany 2 Freie Universität Berlin , Berlin, Germany Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Anna A. Gorbushina Abstract Full Text Info/History Metrics Preview PDF Abstract Fungal iron acquisition has mostly been studied for pathogens living in competitive environments where securing iron from the host is critical for proliferation. How fungi from stress-rich but competition-free material surfaces handle iron uptake is, however, unknown. We studied these processes in rock-inhabiting fungi, known for their constitutive melanin-production, extremotolerant lifestyle and colonization of exposed surfaces such as solar panels and marble monuments, by choosing Knufia petricola to represent this group. The characterization of targeted mutants showed that K. petricola produces an extracellular – yet undefined – siderophore on which it relies less than on the ferroxidase-iron permease complex for reductive iron assimilation. By disrupting melanin synthesis, it was demonstrated that this pigment can reduce and adsorb iron but nevertheless does not contribute significantly to iron acquisition. Moreover, growth towards an iron source was found to be siderophore-dependent. Ferric citrate could not be directly assimilated. Finally, it was found that K. petricola and other rock-inhabiting fungi exhibited high sensitivity to strong iron chelators such as EDTA. These observations not only offer a potential mitigation strategy for preventing fungal colonization of subaerial materials using iron chelators, but also highlight the specialized adaptations of these fungi to low-competition environments. Importance The rock-inhabiting fungus Knufia petricola acquires iron primarily via reductive iron assimilation, independently of the iron-adsorbing and -reducing melanin. Its siderophore, although extracellular and allowing chemotropism towards an iron source, is not able to obtain iron from strong iron chelators such as BPS and EDTA. This sensitivity to iron sequestration opens avenues to mitigate the fungal colonization of materials such as solar panels. Introduction Iron, the fourth most abundant element in Earth’s upper continental crust ( 1 ), has since the rise of atmospheric oxygen levels around 2.4 Gya (the Great Oxidation Event, GOA) started to oxidize and precipitate in the form of oxides ( 2 – 5 ). Imlay ( 6 ) noted that the abundant amounts of available iron pre-GOA resulted in the use of iron-sulphur clusters within many proteins such as redox enzymes involved in respiration. Post-GOA, oxygen-enduring organisms started to thrive in aerobic environments by adopting strategies to cope with low iron availability and oxidative stress ( 6 , 7 ). Fungi may use up to four mechanisms to acquire iron from their environment ( 8 – 10 ): (i) uptake of ferric iron after its extracellular reduction by ferric reductases (FREs) and re-oxidation via a high-affinity ferroxidase-iron permease complex (reductive iron assimilation, RIA), (ii) uptake of ferric iron complexed by low-molecular-mass chelators called siderophores via high-affinity siderophore transporters (siderophore-mediated iron acquisition, SIA), (iii) uptake of heme-complexed iron, and (iv) uptake of ferrous iron by low-affinity transporters. Iron uptake is well studied in the budding yeast Saccharomyces cerevisiae and the opportunistic animal pathogen Aspergillus fumigatus. S. cerevisiae possesses one RIA complex localized in the plasma membrane (FTR1-FET3) ( 11 ), and one low-affinity ferrous iron transporter (FET4) ( 12 ), and although it does not synthesize siderophores, it has four siderophore iron transporters (SITs) for uptake of foreign siderophores (xenosiderophores) ( 13 , 14 ). The filamentous fungus A. fumigatus contains one RIA complex (FtrA-FetC) ( 15 ), a low-affinity iron transporter (FetD) ( 10 ), and five putative SITs for taking up iron bound to (xeno)siderophores ( 16 ). Four hydroxamate siderophores are produced by non-ribosomal peptide synthetases (NRPSs): ferricrocin, hydroxyferricrocin, fusarinine C and triacetylfusarinine C ( 17 ). Ferricrocin was initially assumed to function solely in intracellular iron handing ( 10 , 17 ), later studies showed its secretion and role in iron acquisition ( 18 ). The mechanisms of iron acquisition, essential for growth and proliferation, have been primarily studied in pathogenic fungi to develop antifungal strategies in a medicinal or agricultural context ( 8 , 10 , 19 – 21 ). The active chelation of iron by the animal host hampers microbial infections (so-called nutritional immunity ( 22 )), rendering the habitat of pathogenic fungi more iron depleted than that for other fungi. We hypothesize, therefore, that the absence of competition for iron in their environmental niches renders saprobic fungi more sensitive to strong iron chelators, thereby offering a basis for potential mitigation strategies. We focused on the polyphyletic group of black fungi, which share similar morpho-physiological adaptations allowing them to survive in harsh environments, including melanized cell walls, slow yeast-like or meristematic growth and the absence of complex reproduction cycles ( 23 ). While several black fungi are (opportunistic) animal pathogens ( 24 ), the group of rock-inhabiting fungi colonize sub-aerial environments such as bare rocks in cold and hot deserts and human-made structures such as marble monuments and solar panels ( 25 – 27 ). The increasing use of the latter surfaces for energy generation ( 28 ) together with the considerable challenge in removing black fungal colonies or mitigating their growth ( 29 ), underscores the need of novel mitigation strategies. Despite the high diversity, only few genomes of rock-inhabiting fungi within the Arthoniomycetes, Eurotiomycetes and Dothideomycetes have been sequenced to date. For even fewer fungi, genetic engineering tools for functional analyses are available. To address this gap, we selected Knufia petricola (Eurotiomycetes, Chaetothyriales, Trichomeriaceae) as a model organism for related rock-inhabiting fungi, and developed tools for comparative phenotyping and genetic approaches ( 30 – 32 ). K. petricola constitutively produce the black 1,8-dihydroxynaphthalene (DHN) melanin and reddish carotenoids, which become visible in melanin-deficient mutants ( 30 ). Whether melanin, a multifunctional pigment, plays are in iron acquisition, however, remains unknown. Here, we combined bioinformatics and genetics analyses to reveal the basis of iron acquisition in K. petricola . Genes for two high-affinity iron uptake systems and DHN melanin synthesis were deleted to study the capacity of the systems to acquire iron from media or minerals. Accordingly, K. petricola primarily employs RIA over SIA, produces an (extracellular) siderophore which enables growth towards an iron source, and relies minimally on melanin, which plays no direct role in iron acquisition. The observation that K. petricola and other rock-inhabiting black fungi fail to grow in presence of strong iron chelators demonstrates that iron chelation can serve as an effective and novel strategy to mitigate fungal colonization of exposed surfaces. Results Genome analysis reveals genetic potential for RIA and SIA in K. petricola Genes, putatively involved in iron acquisition in K. petricola and related black fungi (Chaetothyriales), were identified based on sequence similarity to characterized proteins from S. cerevisiae and A. fumigatus . Their distribution differs markedly between pathogenic Herpotrichiellaceae and predominantly saprobic Trichomeriaceae species ( Figure 1 , Table S1). Most of the species lack a transporter for low-affinity iron uptake (FetD), but the number of ferroxidase–permease (FF) pairs correlates strongly with the lifestyle: pathogenic species such as Fonsecaea predosoi typically harbor at least two copies, whereas saprobic species harbor single copies. FREs are generally more abundant in Herpotrichiellaceae. All species have at least one ortholog of A. fumigatus SidJ (EST), involved in intracellular iron release from siderophores, whereas SITs are markedly more abundant in Herpotrichiellaceae species. With respect to siderophore biosynthesis, all species harbor a SidC-like NRPS, but SidD-like NRPSs and the monooxygenase SidA are absent from several Trichomeriaceae species, indicating incomplete hydroxamate siderophore pathways. Further, Herpotrichiellaceae species harbor at least two putative vacuolar iron transporters (CCC), which are missing in most Trichomeriaceae. Interestingly, this absence correlates with the presence of a putative iron-binding ferritin (FER). Download figure Open in new tab Figure 1: Distribution of iron acquisition genes in black fungi of the order Chaetothyriales. Representative Chaetothyriales species were selected based on phylogenetic diversity and isolation source. Species were categorized as pathogenic (repeatedly isolated from human infections), saprobic/rock-inhabiting (repeatedly isolated from rock surfaces), or saprobic (all others, for example from plant leaves, cleanroom surfaces, soil crust, ant nests). The phylogenetic tree (on the left) was constructed from concatenated protein sequences of ACT1 (actin), ADE2 (phosphoribosylaminoimidazole carboxylase), H2B (histone 2B), TEF1 (translation elongation factor 1-α), and URA3 (orotidine 5′-phosphate decarboxylase). Numbers indicate predicted iron acquisition genes identified by sequence similarity, compared to S. cerevisiae , A. fumigatus , and A. nidulans . Gene categories – LA (low-affinity uptake): iron transporters (FetD); RIA (reductive iron assimilation, high-affinity): ferroxidase-iron permease pairs (FF), ferric reductases (FRE); SIA (siderophore-mediated iron acquisition, high-affinity): biosynthetic enzymes (SidA, SidC, SidD), siderophore iron transporters (SIT), intracellular siderophore-hydrolyzing esterases (EST); MISC (miscellaneous): divalent metal transporters (SMF), heme oxygenases (HMX), vacuolar iron transporters (CCC), ferritins (FER). For species details, genome sequences, and protein sequences, see Table S1; for K. petricola genes, see also Table S2. K. petricola possesses a single RIA complex (Figure S1) and twelve putative FREs (Figure S2) – more than other Trichomeriaceae, including K. marmoricola . Further, it has four SITs, with SIT1 clustering with S. cerevisiae SITs and A. fumigatus Sit1, while the others show varying similarity to A. fumigatus SITs (Figure S3). SidA- and SidD-like proteins are absent in both rock-inhabiting Knufia species (Figure S4), a pattern shared with Neophaeococcomyces aloes and Pasadenomyces melaninifex , which were isolated from cleanrooms and whose natural habitats remain unknown. Similarly, the absence of vacuolar iron transporters combined with the presence of a putative ferritin (Figure S5) is a feature shared by the three recognized rock-inhabiting species ( K. petricola , K. marmoricola , Lithohypha guttulata ), and N. aloes . Additionally, the K. petricola genome comprises the genes encoding the conserved transcriptional regulators SRE1, HAPX, and SRB1 (Table S2). In summary, K. petricola contains single-copy genes for RIA and SIA, indicating a potentially limited iron acquisition capacity. To assess the roles of the two systems under varying iron conditions, mutants were generated and characterized (Table S3). RIA – mediated by FTR1 and FET1 – facilitates growth under iron limitations The genes encoding a high-affinity iron permease (FTR1) and a ferroxidase (FET1) as components of the RIA complex, are physically linked in the genome of K. petricola by sharing a bidirectional promoter (Figure S1). This genomic organization is typical for fungal genomes where one to three copies of the ftr1-fet1 cluster are commonly found. K. petricola FTR1 and FET1 share 61 % and 52 % aa identity, respectively, with their orthologs from A. fumigatus , and 69 % and 59 % identity, and 51 % and 45 % identity, with those from E. dermatitidis . To investigate the role of RIA in K. petricola , the genomic region encompassing both genes was deleted by replacing it by a resistance cassette resulting in the mutant Δ ftr1-fet1 (Figure S6a). Growth of the generated mutants were assayed on minimal medium (MM) under three iron conditions: iron limitation (−Fe, no added iron), iron sufficiency (+Fe, 30 µM Fe), and iron repletion (hFe, 1,511 µM Fe). When cell suspensions were dropped onto agar, the Δ ftr1-fet1 mutant exhibited considerably reduced growth on −Fe and +Fe compared to the WT, but not under hFe conditions ( Figure 2a ). The quantification of the iron content in the biomass obtained from iron-limiting conditions (−Fe) yielded, however, similar results for the mutant and the WT ( Figure 2b ). The growth parameters of single colonies on the three solid media were quantified using the ScanLag system, which performs time-lapse scanning of Petri dishes ( Figure 2c ). The WT exhibited comparable growth rates across all tested conditions (approximately 0.006 mm 2 h -1 ). However, its lag phase was significantly prolonged on hFe (148 ± 14 h) compared to −Fe (109 ± 1 h, p = 0.0001) and +Fe (111 ± 2 h, p = 0.0013). The Δ ftr1-fet1 mutant did not grow sufficiently without iron to allow quantification of growth parameters. On +Fe, its growth rate was similar to that of the WT, but its lag phase was significantly extended (495 ± 22 h, p < 0.0001). Download figure Open in new tab Figure 2: K. petricola acquires iron primarily through reductive iron assimilation (RIA) by FTR1–FET1. (a) RIA-deficient Δ ftr1-fet1 mutants fail to grow under iron-limited conditions. Ten-microliter droplets containing 10 4 , 10 3 , 10 2 , and 10 1 colony forming units (CFU) of selected strains were spotted onto solid medium without iron (–Fe), or supplemented with 30 µM iron (+Fe) or 1,511 µM iron (hFe) and incubated for 12 days. (b) WT and iron uptake-deficient mutants accumulate comparable amounts of iron in their biomass. The iron content was quantified for biomass harvested from 21-d-old cultures grown on solid +Fe medium. The biomass was digested with 1 M HNO3, and analyzed by inductively coupled plasma-optical emission spectroscopy (ICP-OES). Shown are the averages of three independent replicates with two times the standard error or analytical uncertainty, whichever was highest. (c) High-iron conditions improve the growth of RIA-deficient mutants, but not to wild-type levels. Growth rates and lag phases on media with different iron contents were recorded by the ScanLag system. Shown are the averages of three independent replicates with two times the standard error. To verify that the observed growth phenotype of the Δ ftr1-fet1 mutant was specifically due to the deletion of the ftr1-fet1 locus, a complementation strain was generated by reinserting the ftr1-fet1 pair into the neutral genomic site igr2 (Figure S6b). The resulting strain, Δ ftr1-fet1 :: ftr1-fet1 , exhibited growth parameters comparable to those of the WT, including similar growth rates and lag phases under both iron-limiting and iron-sufficient conditions (Figure S7). These results demonstrate that the growth defect of the mutant is due to the loss of ftr1 and fet1 , confirming their role in RIA. However, the observation that the mutant retains limited growth under low-iron conditions (−Fe and +Fe) suggests the presence of an alternative iron uptake system that partially compensates for the loss of ftr1 - fet1 . SIA – mediated by an extracellular, yet unidentified siderophore – requires NPS1 NPS1, comprising 4,897 aa, represents the sole NRPS of K. petricola . It shares 22 % and 41 % aa identity with SidC of A. fumigatus and F. pedrosoi , respectively, both known to participate in ferrocrocin biosynthesis ( 17 , 33 ). Both Chaetothyriales NRPSs feature an additional tandem of thiolation (T) and condensation (C) domains (Figure S4). However, ferricrocin could not be detected in either the culture supernatant or biomass of K. petricola (data not shown), consistent with the absence of a sidA ortholog ( Figure 1 ) – a gene needed for the production of hydroxamate siderophores such as ferricrocin ( 8 ) and typically located upstream of the NRPS-encoding gene. To investigate whether nps1 is involved in iron acquisition, the gene was deleted (Δ nps1 ) and its expression was elevated (Figure S8). For the latter, the native promoter of nps1 was replaced with the strong P oliC from A. nidulans , resulting in the strain CE:: nps1 (constitutive expression of nps1 ). To explore a potential functional interdependency between the RIA system and NPS1, the ftr1-fet1 locus was additionally deleted in the Δ nps1 background, generating the double mutant Δ nps1 /Δ ftr1-fet1 . Neither the deletion nor the constitutive expression of nps1 resulted in any visible or quantifiable changes of colony growth under any of the three iron conditions tested. This included comparable iron contents in the biomass under iron-limited conditions ( Figure 2 ). In contrast, the Δ nps1 /Δ ftr1-fet1 mutant failed to grow on −Fe and +Fe, indicating a synthetic growth defect under low-iron conditions. On hFe, growth was partially restored, although the strain exhibited a significantly prolonged lag phase (495 ± 78 h, p = 0.017) and a reduced growth rate (0.0004 ± 0.0002 mm 2 h -1 , p = 0.252) compared to the WT. Given that NPS1 appears to contribute to iron acquisition and becomes essential in the absence of a functional RIA system, we next investigated whether the NRPS might be involved in the production of a diffusible, iron-binding compound, potentially a previously unidentified siderophore. A cross-feeding assay was performed, in which the Δ nps1 /Δ ftr1-fet1 mutant was grown under iron-limiting conditions in proximity to either the WT, Δ nps1 , Δ ftr1-fet1 , or CE:: nps1 . This allowed to assess whether any of these strains could secrete an iron-chelating compound capable of rescuing the growth of the double mutant. In addition, the iron-lacking (−Fe) medium was supplemented with either iron-free forsterite (Mg 2 SiO 4 ) or iron-containing olivine ((Mg,Fe) 2 SiO 4 ) to evaluate whether mineral-derived iron could support growth under these conditions ( Figure 3a ). Growth of the Δ nps1 /Δ ftr1-fet1 mutant was absent when co-cultivated with Δ nps1 , but detectable next to the WT and most pronounced in proximity to Δ ftr1-fet1 and CE:: nps1 colonies. Interestingly, similar growth of the double mutant was observed for media without and with iron-free forsterite, whereas growth was reduced in the presence of the iron-containing olivine. Together, these observations indicate that NPS1 is involved in the production of an extracellular, diffusible siderophore. The reduced growth stimulation in the presence of olivine suggests lower siderophore production. In an alternative experiment, olivine and forsterite were used to investigate whether WT, Δ nps1 , and Δ ftr1-fet1 can actively grow toward an iron source, as an indication of chemotropism ( Figure 3b ). The strains were inoculated between the two minerals on −Fe medium lacking a nitrogen source to promote filamentous growth. This revealed, that the Δ nps1 mutant did show significantly ( p = 0.280) reduced growth towards the olivine than the WT. The minimal filamentous growth of Δ ftr1-fet1 mutant prevented the quantification of its chemotropism. These results imply that the unknown siderophore produced by K. petricola likely facilitates iron acquisition from olivine. Download figure Open in new tab Figure 3: NPS1 contributes to siderophore-mediated iron acquisition (SIA) in K. petricola . (a) NPS1 is required to produce an extracellular siderophore. Four 10 µl drops each containing 10 3 CFU of the Δ nps1 /Δ ftr1-fet1 mutant were spotted next to drops of either Δ nps1 , WT, Δ ftr1-fet1 or CE:: nps1 on solid –Fe medium alone (Ctrl) or supplemented with forsterite (Mg2SiO4) or olivine ((Mg,Fe)2SiO4). Growth of Δ nps1 /Δ ftr1-fet1 indicates production of a diffusible siderophore by the neighboring strain after 34 days of incubation. (b) The extracellular siderophore enables chemotropism towards an iron source. Five 10 µl drops containing 10 3 CFU of WT, Δ nps1 or Δ ftr1-fet1 were spotted onto iron-lacking agar in between a streak of iron-rich olivine and iron-free forsterite. The relative growth rates towards olivine (growth towards olivine/growth towards forsterite, %) were calculated after 74 days of incubation. Given are the averages of three independent replicates (with five colonies each) with two times the standard error. (c) NPS1 is not required for growth on iron-deficient medium when RIA is operating. 10 4 , 10 3 , and 10 2 CFU of selected strains were dropped onto iron-lacking (–Fe) agar with and without 1 mM citrate, 4.5 µM BPS or 4.0 µM EDTA and incubated for 12 days. To confirm the growth phenotypes of the Δ nps1 mutant, a complementation strain was constructed by reinserting nps1 into its native locus through the in vivo assembly of the large coding region from four overlapping amplicons (Figure S8). Restoration of siderophore production in the Δ nps1 :: nps1 strain was demonstrated by its ability to support growth of the adjacent Δ nps1 /Δ ftr1-fet1 mutant (Figure S9). In sum, the data demonstrate that a SIA system operates in K. petricola , involving an extracellular, yet unidentified siderophore. K. petricola and other rock inhabitants exhibit high sensitivity to iron depletion The addition of chelators to the culture medium intensifies iron limitation by binding residual trace iron, even in media considered iron-free. Under such controlled conditions, both the iron-binding strength of metabolites, such as siderophores, and the total iron-binding strength of organisms can be experimentally assessed and compared. When iron-lacking medium (−Fe) was supplemented with 4.5 µM of the ferrous iron chelator bathophenanthroline disulfonate (BPS) or 4.0 µM of the ferric iron chelator ethylenediaminetetraacetic acid (EDTA) ( Figure 3c ), all tested strains exhibited reduced growth: WT and CE:: nps1 showed comparable reduced growth, while growth of both Δ nps1 and Δ ftr1-fet1 was nearly abolished. Notably, the growth inhibition of Δ nps1 was more pronounced, considering that this mutant displayed more robust growth on −Fe medium without chelators compared to Δ ftr1-fet1 . The complemented strain Δ nps1::nps1 exhibited BPS sensitivity comparable to that of the WT (Figure S9). Interestingly, supplementation with 1 mM citrate enabled the Δ nps1 mutant to grow in the presence of BPS and EDTA to nearly the same extent as the WT ( Figure 3c ), suggesting that citrate may partially compensate for the loss of siderophore function. The Δ ftr1-fet1 mutant also showed enhanced growth upon citrate addition. However, no improvement was observed for the double mutant Δ nps1 /Δ ftr1-fet1 , indicating that both iron acquisition pathways are required for citrate-supported growth under chelator stress. To assess whether other rock-inhabiting black fungi are similarly sensitive to iron chelators as K. petricola , three species isolated from solar panels and belonging to different classes were tested: BAM-BF001 (Eurotiomycetes), BAM-BF027 (Arthoniomycetes), and BAM-BF046 (Dothideomycetes). As a reference, S. cerevisiae was included, which is known to thrive under iron-limited conditions ( 34 ). The minimal inhibitory concentrations (MICs) of the two iron chelators were determined by inoculating malt extract agar (MEA) with varying BPS and EDTA concentrations with CFU suspensions and quantifying colony formation after two weeks of incubation. All rock-inhabiting black fungi exhibited comparable sensitivities to these chelators with MICs of 150 µM for BPS and 200-250 µM for EDTA. By contrast, S. cerevisiae was less sensitive with MICs of 500 µM for BPS and 750 µM for EDTA ( Figure 4 ). Taking together, iron depletion by adding iron chelators to the medium (further) reduced growth of RIA- and SIA-deficient K. petricola mutants suggesting that the NPS1-derived siderophore is a weak one. This growth inhibition could be partially reversed by adding citrate, demonstrating that iron-citrate is an iron source. Moreover, K. petricola shares the sensitivity to iron chelators with other unrelated rock-inhabiting black fungi. Download figure Open in new tab Figure 4: K. petricola and other rock-inhabiting black fungi are more sensitive towards iron chelators than S. cerevisiae . 200 to 450 CFU of K. petricola WT (A95), rock-inhabiting fungi (BAM-BF001, BAM-BF027 and BAM-BF046) and S. cerevisiae DSM 1333 were distributed on MEA, that was buffered at pH 6 and containing BPS or EDTA in varying concentrations. After 14 days of incubation, images were taken, and the visible colonies were counted for calculating relative colony growth in percent [number of colonies on supplemented MEA/number of colonies on MEA without chelator × 100] of each replicate. Shown are the averages of three independent replicates with two times the standard error. The minimum inhibitory concentration (MIC) of BPS and EDTA was defined as the lowest concentration at which the relative colony growth was 0 %. Melanin adsorbs and reduces iron but is not involved in iron acquisition To investigate the role of melanin and its metal-binding properties in iron acquisition, melanin-deficient RIA and SIA mutants were generated. For this, pks1 , encoding the polyketide synthase essential for DHN melanin synthesis, was deleted in Δ nps1 and Δ ftr1-fet1 backgrounds (Figure S10) and compared with the WT and the Δ pks1 mutant ( 30 ). In a drop assay, the sensitivity of the strains to oxidative stress induced by hydrogen peroxide (H 2 O 2 ) under different iron conditions was evaluated. All strains showed reduced growth with H 2 O 2 : Δ nps1 and CE:: nps1 were equally sensitive to H 2 O 2 as the WT, whereas all other strains failed to grow with H 2 O 2 highlighting that Δ pks1 and Δ pks1 /Δ nps1 mutants as more sensitive to H 2 O 2 compared to their melanized counterparts (WT, Δ nps1 ) ( Figure 5a ). The dark pigmentation and the tolerance to H 2 O 2 was found restored in the control strain Δ pks1 :: pks1 , generated in this study by introducing pks1 with its native regulatory regions into the igr2 locus of Δ pks1 (Figure S10). Download figure Open in new tab Figure 5: The melanin of K. petricola facilitates iron reduction and adsorption but is not involved in iron uptake. (a) Non-melanized mutants exhibit increased sensitivity to oxidative stress induced by hydrogen peroxide (H2O2) – independent of the iron content. CFU of melanized and non-melanized Δ pks1 strains were point-inoculated on –Fe, +Fe and hFe agar without and with 2 mM (–Fe and +Fe) or 2.75 mM (hFe) H2O2, and incubated for 12 days. (b) The non-melanized Δ pks1 mutant, in contrast to RIA- and SIA-deficient strains, exhibits attenuated iron-reducing activity. Liquid –Fe medium was inoculated with 10 6 CFU of the indicated strains and incubated for 14 days. The iron reduction capacity – expressed as mM Fe(II) g -1 biomass h -1 – was determined by measuring the absorbance at 535 nm (A535) of the cultures after incubation with the iron-chelator BPS. Shown are the averages of four independent replicates with two times the standard error. (c) The biomass of the non-melanized Δ pks1 mutant contains less iron compared to that of the WT. The two strains were cultivated for 21 days on solid –Fe, +Fe and hFe medium. Iron contents – expressed as µg iron per g biomass – were quantified via ICP-OES analyses of the digested biomass. Shown are the averages of three independent replicates with two times the standard error or analytical uncertainty, whichever was highest. (d) The melanized WT (black) and the non-melanized Δ pks1 mutant (pink) exhibit similar growth on iron-depleted conditions, regardless of the iron availability during precultivation. The two strains were cultivated for seven days on agar without iron (–Fe) or with iron (+Fe, or hFe). Cells from these cultures were then spotted onto –Fe agar supplemented with 4.5 µM BPS as indicated. Images were taken after 12 days of incubation. (e) The non-melanized mutants were equally sensitive towards strong iron chelators than the melanized strains. Indicated strains were point-inoculated on solid MM medium without iron (–Fe) and with or without 1 mM citrate, 4.5 µM BPS and/or 4.0 µM EDTA. Results were documented after 12 days of incubation. The iron-reducing capacity was assessed in both the culture supernatants and biomass of WT, Δ pks1, and the melanized RIA- and SIA-deficient mutants. The biomass of the Δ pks1 mutant exhibited a significantly lower iron-reducing capacity compared to the other strains (e.g., 53 % of WT, p = 0.045), which all had similar reductase activities ( Figure 5b ). In all strains, the culture supernatants displayed substantially higher iron-reducing capacities with no significant differences between strains (Figure S11b). These findings demonstrate that cell wall-bound melanin can reduce ferric iron, while extracellular components dominate iron reduction in the supernatant. Further, the iron content of the biomass – an indication of iron adsorption – was measured for the melanized WT and the non-melanized Δ pks1 mutant after cultivation under different iron concentrations. Across all conditions, the Δ pks1 mutant consistently showed significantly lower iron levels in its biomass compared to the WT: 45 % ( p = 0.0039) on −Fe, 41 % ( p = 0.0018) on +Fe, and 42 % ( p = 0.0071) on hFe ( Figure 5c ). To investigate whether the iron adsorbed to melanin could serve as an extracellular iron reservoir or facilitate iron sequestration from the environment, another drop assay was performed. WT and Δ pks1 strains were precultured under −Fe, +Fe and hFe conditions. Subsequently, cell suspensions were spotted onto −Fe agar with and without 4.5 µM BPS. Both strains exhibited comparable growth regardless of the iron conditions during preculture. Finally, to determine whether melanin formation influences growth in presence of iron chelators, sensitivity assays were performed across different genetic backgrounds (WT, Δ nps1 , Δ ftr1-fet1 ) with BPS, and EDTA, with and without citrate supplementation ( Figure 5e ). The deletion of pks1 did not seemingly alter the sensitivity of the strains to iron chelators, indicating that melanin does not play a detectable role in chelator resistance under the tested conditions. Discussion Iron is an indispensable micronutrient for all living organisms, driving intense competition for its acquisition. This competition is particularly evident in parasitic interactions, where hosts actively restrict iron availability to inhibit the growth of fungal invaders. Saprobic fungi, on the other hand, acquire iron by digesting dead organic material and may protect their nutrient sources from competitors through efficient iron uptake, rapid growth, and the production of toxic secondary metabolites. In contrast, mutualistic relationships – such as those found in lichens – are characterized by cooperation, where different organisms harmonize their nutrient acquisition strategies. We hypothesized that iron uptake by rock-inhabiting black fungi is unconventional, resulting in a high sensitivity to iron chelators. These organisms (i) are considered free-living, i.e. they do not rely on interaction partners, although they may exist within microbial communities ( 25 ), (ii) colonize oligotrophic substrates exposed to sunlight, which imposes UV radiation, temperature fluctuations, and desiccation stress – conditions that limit the growth of fast-growing saprobes, (iii) constitutively produce melanin, a pigment with known iron-adsorbing properties ( 26 , 35 ), and (iv) may obtain iron from the weathering of iron-containing rock substrates ( 36 ). Overall, black fungi inhabiting such extreme environments are likely not exposed to immediate competition for iron, which may have enabled the evolution of simplified, and more energy-efficient iron acquisition and storage strategies. To investigate this hypothesis, we first employed a bioinformatics approach, aiming to compare the potential iron acquisition strategies of selected Chaetothyriales black fungi – including pathogenic, saprobic, and rock-inhabiting species – based on their genomic repertoires. The results demonstrate that the closely related rock inhabitants K. petricola and K. marmoricola , both repeatedly isolated from marble surfaces ( 37 , 38 ), possess a reduced set of iron acquisition genes. This gene set is characterized by a single RIA complex, absence of key siderophore biosynthesis enzymes ( sidA , sidD ), lack of a vacuolar iron transporter, and the presence of a ferritin, which may facilitate intracellular iron storage as in other eukaryotes ( 39 , 40 ). In contrast, K. obscura , isolated, for example, from a cleanroom facility or a gasoline tank ( 41 ) contains a slightly altered gene set. These differences may reflect ecological adaptation and could contribute to future refinement of the genus Knufia . The closely related pathogenic species A. fulminans possesses a second RIA complex, additional SITs, and a putative vacuolar iron transporter. This pattern is consistent with those of pathogenic Herpotrichiellaceae species, which typically contain at least two RIA complexes, a higher number of SITs, the complete set for SIA ( sidA , sidC , sidD ), and multiple CCC-type transporters. Although non-pathogenic black fungi possess fewer putative SITs and FREs than their pathogenic relatives, the presence of multiple copies – combined with the siderophore specificity of these transporters and reductases ( 8 ) – suggests that they are equipped to utilize a range of siderophores, albeit a narrower spectrum than pathogenic species. The ability to utilize xenosiderophores, including those not originating from fungi, provides a competitive advantage by conserving metabolic energy ( 42 – 45 ). In addition, black fungi may retrieve iron from the degradation of self-produced or foreign heme via the heme oxygenase (HMX1). Uptake of xenosiderophores or heme may occur incidentally when these compounds are encountered in the environment; however, the likelihood of acquiring them from living or dying microorganisms is considerably higher within subaerial biofilms. Through this analysis, we identified distinct patterns of iron acquisition genes in pathogenic versus non-pathogenic black fungal species. These findings will benefit from the availability of additional genome sequences of black fungi from diverse habitats, which are expected to emerge from the community science project STRES ( https://stresblackfungi.org/ ) ( 46 ). With a broader dataset and verified ecological or physiological traits, it may eventually become possible to predict the pathogenic/opportunistic potential of black fungi based on their iron acquisition gene profiles. Experimentally, the functionality of RIA and SIA systems in K. petricola was demonstrated ( Figure 6 ). Under laboratory conditions simulating the free-living lifestyle, K. petricola primarily acquires iron via the RIA system, encoded by ftr1 and fet1 , and secondarily through the SIA pathway involving nps1 . Mutants lacking both ftr1-fet1 and nps1 are nearly non-viable, indicating that RIA and SIA are the only relevant mechanisms in K. petricola – at least under laboratory conditions. Cross-feeding assays with the Δ nps1 /Δ ftr1-fet1 mutant as test strain demonstrated the presence of a secreted and diffusible siderophore in K. petricola , corroborating previous findings from a chrome azurol S assay in this species ( 47 ). Biosynthesis of the siderophore requires the sole SidC-like NRPS, NPS1. However, we excluded ferricrocin as the identity of this siderophore. Therefore, future work should aim to elucidate the nature of this compound. Download figure Open in new tab Figure 6: Proposed model of iron acquisition to intracellular storage in K. petricola . Iron can be taken up via a siderophore-mediated iron acquisition (SIA) system consisting of (xeno)siderophores and siderophore transporters (SIT1-4) but is primarily taken up via the reductive iron assimilation (RIA) system consisting of ferric reductases (FER1-12), a ferroxidase (FET1) and an iron permease (FTR1). The siderophore synthesized by the non-ribosomal peptide synthetase NPS1 remains unidentified and appears ineffective, making RIA the dominant mechanism and increasing susceptibility to strong iron chelators such as BPS and EDTA. Direct uptake of iron-bound citrate is not feasible; however, citrate-bound iron can be transferred to the RIA system or to the siderophore. Melanin, although adsorbing and reducing iron, does not contribute to iron uptake or storage as iron bound to melanin is not available for growth. Intracellular iron is likely stored in ferritin (FER1), as proteins for vacuolar iron storage are absent. Iron is present at the surface of olivine either in the form of ferric (oxyhydr)oxide precipitates or as ferric iron within the structure of olivine ( 36 ). Whether the siderophore can accept iron from the former or the latter is unknown. Such a chemotropic response is, however, particularly remarkable, given that siderophore production was reduced in the presence of iron-rich olivine, suggesting that even low levels of the siderophore are sufficient to facilitate iron acquisition under these conditions. A lower siderophore production in the presence of an iron source was also observed for A. fumigatus ( 48 ) and A. nidulans ( 49 ), in which genes involved in both RIA and SIA are repressed by the GATA-transcription factor SreA under high iron while the bZIP transcription factor HapX represses iron-consuming pathways and activates siderophore production under iron limitation ( 50 – 52 ). Assuming a similar regulatory network for RIA and SIA genes in K. petricola , potentially governed by conserved transcriptional regulators, the disruption of RIA via Δ ftr1-fet1 or SIA via Δ nps1 may mimic iron-limiting conditions. This could, in turn, trigger compensatory upregulation of the remaining iron acquisition pathway, thereby enabling continued growth despite the loss of one system. Addition of citrate alleviated iron limitation of K. petricola under iron-depleted conditions caused by chelators. However, the relatively high concentration required (i.e., 1 mM) reflects the low affinity of citrate – its binding constants are 10 9 for ferrous iron and 10 12 for ferric iron ( 53 ). The lack of improved growth of the Δ nps1 /Δ ftr1-fet1 mutant under iron-limiting conditions with citrate addition suggests that direct uptake of citrate-bound iron is unlikely. This aligns with the observation in Ustilago sphaerogena, where iron, but no citrate, was taken up when iron citrate was provided ( 54 ). The restored growth of both Δ ftr1-fet1 and Δ nps1 upon citrate addition, suggests that both the FREs of RIA and the siderophore of K. petricola can mobilize iron from citrate. The ability of the RIA system to utilize citrate-bound iron has also been demonstrated in S. cerevisiae , which lacks own siderophores ( 55 ) but can grow on ferric citrate as an iron source ( 56 ). Additionally, siderophores have been shown to acquire iron from ferric oxides via low-molecular weight acids like citrate ( 57 , 58 ), supporting the idea of iron handover from citrate to siderophores. We demonstrated that the cell wall-bound melanin of K. petricola is capable to adsorb and reduce iron. Iron adsorption capacity, inferred from the iron content of the biomass, correlated with iron availability in the culture medium for both the WT and the Δ pks1 mutant. However, across all conditions, the non-melanized Δ pks1 mutant consistently showed lower iron accumulation compared to the melanized WT, demonstrating that melanin adsorbs iron. This finding aligns with earlier studies reporting that melanized fungal biomass tends to accumulate more metals like iron than albino biomass, and that fungal melanin itself could adsorb metals ( 35 , 59 – 61 ). Similarly, the higher iron-reducing capacity observed for the melanized biomass of K. petricola (WT) compared to the non-melanized biomass (Δ pks1 ) is consistent with previous reports on the iron-reducing properties of enzymatically produced DOPA (3,4-dihydroxyphenylalanine) melanin ( 62 ), autoxidized DOPA melanin ( 63 ), and DOPA melanin-producing Cryptococcus neoformans ( 64 ). This reduction is likely mediated by reduced catechol compounds of the melanin, which are hydrophilic and therefore positioned at the surface, facilitating interaction with iron ions ( 61 ). The observation that the higher iron content of the WT inoculants compared to that of the Δ pks1 inoculants did not translate into reduced sensitivity towards BPS, suggests that the additional melanin-bound iron in the WT was not readily available for supporting the growth of new cells. Similarly and in contrast to other fungi – where disruption of iron uptake pathways typically results in both reduced cellular iron contents and impaired growth under low-iron conditions ( 17 , 55 , 65 , 66 ) – the growth defect of the (melanized) Δ ftr1-fet1 mutant on iron-limited media did not correlate with a decrease in total iron content. These findings further support the notion that iron adsorbed to the melanin cannot be mobilized to sustain growth. Considering that melanin can compete with chelators such as citrate, adenosine 5’-diphosphate (ADP) and possibly EDTA for both ferrous and ferric iron ( 61 , 63 ), this lack of bioavailability is reasonable. The observation that melanized and non-melanized strains exhibited similar sensitivity to iron depletion caused by chelators suggests that melanin does not sequester iron in a way that significantly interferes with either RIA or SIA. Apparently, the kinetics of both high-affinity iron uptake systems outcompete the iron adsorption of melanin. Taken together, these observations indicate that, while melanin of K. petricola can adsorb and reduce iron, it neither impairs nor enhances iron acquisition via RIA or SIA. Instead, melanin appears to function as a passive iron sink, adsorbing lingering iron making it no longer accessible to both uptake systems – and unable to react with H 2 O 2 to generate reactive oxygen species (ROS) via the Fenton reaction ( 67 , 68 ). The ability of melanin to bind and stabilize iron in a non-reactive form likely contributes to cellular protection, providing an explanation why the non-melanized K. petricola strains were found more sensitive towards oxidative stress than their non-melanized counterparts. The addition of chelators to the cultivation medium mimics the natural competition for chelated iron, where only organisms equipped with strong siderophores can mobilize iron from weaker chelators. In K. petricola , growth inhibition by the chelators BPS and EDTA in drop assays using iron-free MM began at concentrations as low as 4.5 µM and 4.0 µM, respectively. MICs, determined based on colony formation from plated CFU on MEA, were 150 µM for BPS and 200–250 µM for EDTA. These MIC values are markedly lower than those observed for S. cerevisiae under identical experimental conditions, indicating K. petricola and the other rock-inhabiting fungi are more sensitive to iron chelation than S. cerevisiae . This increased sensitivity implies that these fungi possess insufficient iron to sustain growth, potentially because of restricted iron acquisition and/or storage. To facilitate comparisons, we compiled MIC data for BPS and EDTA across various fungal species (Table S4), acknowledging that MIC values are often difficult to compare between studies due to variations in media composition, experimental setups, and particularly inoculum size – as highlighted by Kubo et al. ( 69 ). This overview reveals that K. petricola and related rock-inhabitants exhibit MICs for these strong iron chelators that are one to two orders of magnitude lower than those reported for other fungi. The unusually low MICs of BPS and EDTA observed for rock-inhabiting fungi may result from a combination of factors. Among these, siderophore production stands out as the most compelling explanation: siderophore-deficient strains of K. petricola and other fungi ( 17 , 70 ) consistently show higher sensitivity to iron chelators compared to their respective WTs. Despite the observed properties of the K. petricola siderophore – such as its secretion, diffusion through the agar, uptake by neighboring cells, and chemotropic behavior – it appears to be relatively ineffective in acquiring iron. Typically, siderophores bind ferric iron with very high affinity, exhibiting binding constants in the range of 10 25 and 10 62 ( 71 ). For comparison, BPS binds ferrous iron with a binding constant of 10 21 ( 72 ), while EDTA binds ferric iron with a binding constant of 10 25 ( 73 ). In addition to the possibility that the K. petricola siderophore has a relatively low affinity for iron, its limited effectiveness may also be due to low production levels or a predominant localization in the cytosol or at the plasma membrane. Especially in oligotrophic environments, an amphiphilic siderophore that remains predominantly associated with the plasma membrane and only occasionally diffuses into the extracellular space may offer a distinct advantage ( 74 ). By retaining the siderophore at the cell surface, the rock-inhabiting fungi may reduce its loss to the surroundings and thereby save metabolic energy that would otherwise be lost by continuous siderophore synthesis. To date, amphiphilic (coprogen) siderophores have been reported from one fungal species, Trichoderma hypoxylon ( 75 ). Siderophore production does not necessarily correlate with higher MIC values for EDTA and BPS. For example, the yeasts Candida species and S. cerevisiae exhibit relatively high MICs despite their inability to produce siderophores – values that exceed those observed for the tested black fungi (Table S4). However, melanin production as shared trait among the four rock-inhabiting fungi is not the underlying reason. Instead, the relatively high MIC values in S. cerevisiae , indicating higher tolerance to iron deprivation, may be explained by efficient iron storage, particularly the sequestration of iron in vacuoles mediated through CCC1 ( 76 ) and its remobilization by an additional RIA (FET5–FTH1) complex ( 77 ). As genes for vacuolar iron storage are absent from K. petricola and K. marmoricola , it is plausible that their limited tolerance to iron-depleted conditions (reflected in low MIC values) result also from insufficient intracellular iron storage. This deficiency may not be sufficiently compensated by the ferritin, assuming the gene is expressed and produces a functional iron-binding protein. Irrespective of the underlying reason, the low MICs of K. petricola and other rock-inhabiting fungi open avenues for the use of strong iron chelators in a mitigation strategy to prevent material colonization. These fungi not only colonize stone surfaces of culturally significant monuments ( 78 ) but also energy-generating photovoltaic cells ( 27 , 79 , 80 ). Together with other organisms and abiogenic deposits, rock-inhabiting fungi block solar radiation, having been shown to lower the efficiency of the solar panels by up to 11 % after 18 months ( 81 ). Removing or preventing the formation of the typical microcolonies of these fungi has proven challenging ( 29 ). Considering the urgent need to derive more fossil fuel-free energy ( 82 ), a novel approach using biocides would therefore be most welcome. EDTA, although not considered fungicidal or only inhibitory at higher concentrations ( 83 , 84 ), prevented growth of rock-inhabiting species at relatively low concentrations (i.e., acts fungistatic). The EU Risk Assessment Report for EDTA ( 85 ) states that one should limit the risks due to the high emissions in an industrial context, leading to risks for aquatic organisms. The application of EDTA on plant leaves as a fertilizer (assumed the worst-case approach) is not considered a risk for terrestrial organisms ( 85 ), even though the chelated form is commonly applied with concentrations as high as 2.5 mM ( 86 ). Nevertheless, care should be taken to use chelators which are more easily degradable than EDTA such as N,N’-ethylenediaminedisuccinic acid (EDDS) ( 87 – 89 ), iminodisuccinic acid (IDS) ( 88 , 89 ) or 2-((1,2-dicarboxyethyl)amino)pentanedioic acid ( 90 ). To exert a fungistatic effect, these chelators still need to be sufficiently strong. IDS has a binding constant for ferric iron of 10 14 ( 91 ), only marginally higher than the binding constant of citrate for ferric iron of 10 12 ( 53 ), and will thus not be useful. EDDS, however, has a binding constant of 10 22 ( 92 ), comparable to EDTA (K = 10 25 ) ( 73 ) and is therefore of interest within this context. Future work should focus on evaluating chelator-based approaches under real-world conditions to develop sustainable strategies for preventing fungal growth on exposed surfaces. Materials and methods Fungal culturing and reagents K. petricola strain A95, isolated from a marble stone surface near the Philopappos monument in Athens, Greece ( 93 ), was used as wild type (WT) (Table S3). Other rock-inhabiting black fungi i.e., BAM-BF001 (Eurotiomycetes), BAM-BF027 (Arthoniomycetes), and BAM-BF046 (Dothideomycetes) were isolated from solar panels in Berlin, Germany (unpublished). S. cerevisiae strains used were DSM 1333 and FY843 ( 94 ). Fungal cultures were maintained on malt extract agar (MEA), containing 20.0 g l -1 glucose, 0.1 g l -1 casein peptone, 20.0 g l -1 malt extract, and 20.0 g l 1 Kobe agar. Unless stated otherwise, experiments were conducted with a minimal medium (MM), containing 701 mM D-sucrose, 35.3 mM NaNO 3 , 5.878 mM H 2 KPO 4 , 12.59 mM KCl, 2.029 mM MgSO 4 *7H 2 O, 10.0 µM CaCl 2 *2H 2 O, 1.002 µM ZnSO 4 *7H 2 O, 1.001 µM MnCl 2 , 1.000 µM CuSO 4 *5H 2 O, 1.00 µM H 3 BO 3 , 0.101 µM CoCl 2 *6H 2 O, 0.0992 µM Na 2 MoO 4 *2H 2 O, 0.023 µM Na 2 SeO 3 *5H 2 O, 0.101 µM NiCl 2 *6H 2 O and 15.0 g l -1 bacteriology grade agar, either adding no (-Fe), 30 µM (+Fe) or 1,511 µM (hFe) FeSO 4 *7H 2 O. All glassware was cleaned overnight with 1 M HNO 3 to prevent any chemical contamination. Media were buffered at pH 6 with 12.30 mM 2-(N-morpholino)ethanesulfonic acid (MES), added after autoclaving. Cultures were incubated in the dark at 25 °C. Biomass of all strains was disaggregated by glass beads (3-4 mm diameter) in a Retsch mixer mill (10 min at 30 Hz), and washed twice with sterile MilliQ water. Numbers of colony forming units (CFU), i.e. single cells and cell aggregates, were determined using a Thoma cell counting chamber. Growth assays All strains were precultured for seven days on –Fe agar, except the Δ nps1 /Δ ftr1-fet1 mutant which was precultured on hFe agar to promote growth. Δ nps1 mutants were never grown in the same Petri dish as nps1 -expressing strains to avoid cross-feeding by other strains. Growth on different solid media was tested by semi-quantitative drop assays. For this, 10 µl of serial dilutions with 10 6 , 10 5 , 10 4 , and (in certain cases) 10 3 CFU ml -1 were dropped onto solid medium with or without Fe. Varying concentrations of iron chelators (bathophenanthroline disulfonate (BPS), Na 2 EDTA*2H 2 O or citrate) were added after autoclaving. For inducing oxidative stress, H 2 O 2 was added to the medium after autoclaving. To test the use of melanin as an iron source, WT and Δ pks1 were grown for seven days on either –Fe, +Fe or hFe agar covered with cellophane, harvested and treated as described before, and point-inoculated on –Fe with and without 4.5 µM BPS. For the cross-feeding assay, –Fe agar, without additive or supplemented with 2.5 mg ml 1 synthetic forsterite or 2.5 mg ml -1 natural iron-containing olivine (India, Hausen Mineraliengrosshandel both ground to < 63 µm) was inoculated with four 10 µl drops containing 10 3 CFU of Δ nps1 /Δ ftr1-fet1 in between of which (and with a distance of 20 mm) one 10 µl drop (10 3 CFU) of the test strain was dropped. To test whether strains can grow towards an iron source, 50 mg of the same ground olivine and forsterite were streaked out on opposite sides of rectangular Petri dishes containing –Fe agar. Exactly in between the mineral streaks, at a distance of 50 mm, 10 µl drops containing 10 3 CFU of the test strains were spotted in a row. After 74 days, images were taken and the distances of growth from the initial drop towards olivine and forsterite were quantified. The ratio of growth towards olivine vs. towards forsterite (i.e., the relative growth towards olivine) was calculated for all five colonies of each Petri dish and the average was taken. Each growth assay was conducted at least three times with reproducible outcomes. Representative images from a single experiment are presented. The lag phases and growth rates of individual colonies was determined using the ScanLag system ( 95 ). For this, –Fe, +Fe and hFe agar was inoculated with 500 CFU of the respective strains. The Petri dishes (9 cm in diameter) were subsequently incubated in flatbed scanners (V600, Epson, connected to a computer running Windows 10 OS) in the dark at 25 °C. Scans were taken every six hours using a custom PowerShell script. The lag phase and growth rate were quantified using a custom Matlab script based on the Matlab code of I. Levin-Reisman et al. ( 95 ), assuming linear growth. As a slight inhibition effect was observed (i.e., a decrease in the growth rate with an increasing CFU, data not shown), only Petri dishes with a CFU in the range of 50 to 200 (except for Δ nps1 /Δ ftr1-fet1 which had CFUs in the range of 6 to 23, which might have caused an overestimation of its growth rate) were analyzed. To define the minimum inhibitory concentration (MIC) of EDTA and BPS, 20 ml MEA per Petri dish (9 cm), buffered at pH 6 with 12.30 mM MES and supplemented with different concentrations of EDTA or BPS, was inoculated with 200 to 450 CFU (three independent replicates were run per condition) and incubated for 14 days in the dark. Relative colony growth in percent was calculated. Bioinformatics analyses Analyses were performed using Geneious Prime 2024.0.7 (Biomatters Ltd.). Genome assemblies of selected species were retrieved from GenBank (Table S1) or were accessed from in-house resources ( K. petricola A95 assembly v1, unpublished). De novo gene prediction and revision of incorrect gene models was performed using the Augustus plugin 0.1.1 ( 96 ) Candidate proteins were identified by internal BLAST searches (default parameters) using sequences from S. cerevisiae and A. fumigatus as queries. Conserved protein domains were identified using the InterProScan plugin 2.1.0 ( 97 ). Sequences of the K. petricola iron acquisition genes have been submitted to GenBank (Table S2). All protein sequences used for analyses in Figure 1 are listed in Table S1. Protein sequences were aligned using MUSCLE v5.1 with default parameters. Phylogenetic trees were inferred with the PHYML plugin 2.2.4 ( 98 ), applying the LG amino acid substitution model and 100 bootstrap replicates. CRISPR/Cas9 target sites (protospacer with protospacer-adjacent motif ‘NGG’) in the genomic loci of interest were identified using the CRISPR Finder tool (default settings), with the K. petricola genome sequence as the off-target reference database. The protospacers used had at least four mismatches to the closest predicted off-target site. SnapGene 4.0.8 (GSL Biotech LLC) was used to design and document cloning strategies by generating sequence maps and aligning Sanger sequencing reads. Standard molecular methods Genomic DNA was extracted as described by Voigt, Knabe et al. ( 30 ). DNA was mixed with Midori Green Direct (Biozym Scientific) and separated in 1 % agarose gels with the MassRuler DNA Ladder Mix (Thermo Scientific) or the 1 kb Plus DNA Ladder (New England Biolabs, NEB) as a size reference. PCR reactions were carried out with primers from Eurofins Genomics (Table S5), the Q5 High-Fidelity DNA polymerase (NEB) for cloning and sequencing and the Taq DNA polymerase (NEB) for diagnostic PCR. Plasmids listed in Table S6 were assembled via homologous recombination in S. cerevisiae ( 99 , 100 ). Plasmids were amplified in Escherichia coli DH5α (Invitrogen) and isolated from S. cerevisiae and E. coli with the Monarch Plasmid Miniprep Kit (NEB). Larger amounts of plasmid were extracted from E. coli with the NucleoBond Xtra Midi Kit (Macherey-Nagel). PCR products were purified with the Monarch PCR and DNA Cleanup Kit (NEB) and sequenced with the Mix2Seq Kit at Eurofins Genomics. sgRNAs were synthesized in vitro with the EnGen sgRNA Synthesis Kit (NEB), purified with the Monarch RNA Cleanup Kit (NEB), and assembled in a molar ratio of 1:1 with EnGen Spy Cas9 NLS (NEB) by incubation for 10 min at 22 °C. Genetic manipulation of K. petricola The deletion of coding regions (knock-out, KO) and the targeted integration of expression constructs (knock-in, KI) into the K. petricola genome was accomplished by introducing double strand breaks (DSB) by the CRISPR/Cas9 technology and providing donor DNA for repair of the DSB by homologous recombination (HR) according to Voigt, Knabe et al. ( 30 ) and E. A. Erdmann et al. ( 31 ). Target-specific ribonucleoproteins (RNP) were either expressed and assembled in-vivo from plasmid DNA or added along with the donor DNA as pre-assembled RNP as specified in Table S7. Per approach, 1 x 10 6 protoplasts were transformed with 10 to 15 µl of a PCR sample or a restriction digest (linear donor DNA) together with either 2 µg of sgRNA- and Cas9-delivering plasmid (circular DNA), or 1 µg of sgRNA assembled with 5 µg of Cas9, as described previously. The correct integration of deletion and expression constructs as consequence of HR was detected by diagnostic PCR by combining primers binding upstream or downstream of the integration site with those binding within the integrated sequences i.e., in resistance or expression cassettes (Figure S6, Figure S8, Figure S10). For all genetic manipulation strategies, multiple independent transformants were generated and subjected to an initial phenotypic screening; representative data from one randomly selected transformant are presented. Determination of iron content in biomass Solid MM –Fe, +Fe and hFe medium covered with cellophane was inoculated with 50,000 cells. After 21 days, the biomass in the center of the Petri dish was taken off and dried at 65 °C. A weighed amount was digested in polytetrafluorethylene beakers with 1 ml of 9.8 M H 2 O 2 and 1 ml of 14.3 M HNO 3 at 150 °C. After digestion, the acidic solution was evaporated, and the resulting pellet was dissolved in 4 ml of 1 M HNO 3 via ultrasonication. The HNO 3 solution containing the dissolved biomass residue was analyzed by inductively coupled plasma-optical emission spectroscopy (ICP-OES, Varian 720-ES) in the HELGES laboratory at GFZ, Potsdam ( 101 ) as described before in ( 36 ) (see Method S1, Table S8, Table S9 for details). The analytical uncertainty used to interpret the sample results is quantified based on the accuracy and precision of the repeated measurement of quality control standards, the error of the analysis of the standards, and the contribution of the blank (i.e., the solution used to dilute the samples, see supplementary information). The iron content was quantified by dividing the amount of iron in the digest by the amount of biomass digested (µg g -1 ). Iron reduction assay To obtain the ferric reduction potential of the biomass, the absorbance of the red BPS-Fe(II) complex was measured spectrophotometrically. 20 ml of liquid –Fe medium in Erlenmeyer flasks were inoculated with 10 6 CFU and placed on a shaker for 14 days in the dark at 25 °C and 100 rpm. Afterwards, the cultures were centrifuged, a sample of the supernatant was taken, and the pellet (biomass) was washed once with fresh –Fe medium. Fresh –Fe medium with 0.5 mM Fe(III)Cl 2 *6H 2 O and 0.5 mM BPS was added to the biomass and supernatant samples and incubated for 3 h in the dark at 25 °C and 100 rpm. After another centrifugation step, the A 535 was measured using a UV-vis spectrophotometer (Genesys 10S, Thermo Scientific). An abiotic control was used as a blank. The pellet was dried at 65 °C for one day and the dry weight was measured. The concentration of reduced iron was obtained from the measured A 535 values by running the experiment with a standard series (0, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5 and 1 mM Fe(II)SO 4 *7H 2 O) of reduced iron (Figure S11a). Finally, the reduced iron concentration was divided by the dry weight and the duration of the incubation to obtain the reduction capacity in mM Fe(II) g -1 h -1 . In the case of the supernatant samples, the reduced iron concentrations were divided by the dry weight of the respective culture, the fraction of supernatant analyzed and the duration of the incubation. Statistical analyses In general, all data are shown as the average of three or four independent replicates with two times the standard error (Table S10). Such a sample size is too low to test for normality. Differences between the strains and conditions are thus analyzed via the non-parametric Kruskal Wallis test followed by the Conover-Iman post-hoc test with Benjamini-Hochberg p-value adjustment (alpha level = 0.05). For both the conover.test package (v1.1.6) in R software (v4.5.1; R core Team, ( 102 )) was used. Data availability Nucleotide and protein sequences of studied K. petricola genes are available from GenBank ( https://www.ncbi.nlm.nih.gov/genbank/ ). K. petricola strains, generated in this study, are available upon request. Author contributions RG : Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – Original Draft, Review & Editing. JS : Conceptualization, Data Curation, Formal Analysis, Investigation, Supervision, Writing – Original Draft, Review & Editing. AAG : Conceptualization, Funding Acquisition, Supervision, Writing – Review & Editing. Acknowledgment We thank Niclas Nordholt for help with setting up the ScanLag system and Steffen Ganschow for providing us with forsterite. Eileen Erdmann, Sarah Nitsche, Jenny Straßner and Oliver Voigt are thanked for their help with cloning. Pedro Maria Martin-Sanchez and Christopher Gebhardt are thanked for the isolation of the rock-inhabiting fungi from solar panels. We are grateful for access to the ICP-OES of the HELGES laboratory. This study was funded by internal funds of the BAM. Footnotes Funding statement: This study was funded by internal funds of the Bundesanstalt für Materialforschung und -prüfung (BAM). Conflict of interest disclosure: The authors have no conflict of interest to declare. REFERENCES 1. ↵ Taylor SR . 1964 . Abundance of chemical elements in the continental crust - a new table . Geochim Cosmochim Ac 28 : 1273 – 1285 . doi: 10.1016/0016-7037(64)90129-2 OpenUrl CrossRef GeoRef Web of Science 2. ↵ Hazen RM , Papineau D , Bleeker W , Downs RT , Ferry JM , McCoy TJ , Sverjensky DA , Yang H . 2008 . Mineral evolution . Am Mineral 93 : 1693 – 1720 . doi: 10.2138/am.2008.2955 OpenUrl Abstract / FREE Full Text 3. Sverjensky DA , Lee N . 2010 . The Great Oxidation Event and mineral diversification . Elements 6 : 31 – 36 . doi: 10.2113/gselements.6.1.31 OpenUrl Abstract / FREE Full Text 4. Konhauser KO , Pecoits E , Lalonde SV , Papineau D , Nisbet EG , Barley ME , Arndt NT , Zahnle K , Kamber BS . 2009 . Oceanic nickel depletion and a methanogen famine before the Great Oxidation Event . Nature 458 : 750 – 753 . doi: 10.1038/nature07858 OpenUrl CrossRef GeoRef PubMed Web of Science 5. ↵ Sessions AL , Doughty DM , Welander PV , Summons RE , Newman DK . 2009 . The continuing puzzle of the great oxidation event . Curr Biol 19 : R567 – 74 . doi: 10.1016/j.cub.2009.05.054 OpenUrl CrossRef PubMed Web of Science 6. ↵ Imlay JA . 2006 . Iron-sulphur clusters and the problem with oxygen . Mol Microbiol 59 : 1073 – 1082 . doi: 10.1111/j.1365-2958.2006.05028.x OpenUrl CrossRef PubMed Web of Science 7. ↵ Fischer WW , Hemp J , Valentine JS . 2016 . How did life survive Earth’s great oxygenation? Curr Opin Chem Biol 31 : 166 – 178 . doi: 10.1016/j.cbpa.2016.03.013 OpenUrl CrossRef PubMed 8. ↵ Haas H , Eisendle M , Turgeon BG . 2008 . Siderophores in fungal physiology and virulence . Annu Rev Phytopathol 46 : 149 – 187 . doi: 10.1146/annurev.phyto.45.062806.094338 OpenUrl CrossRef PubMed Web of Science 9. Kosman DJ . 2003 . Molecular mechanisms of iron uptake in fungi . Mol Microbiol 47 : 1185 – 1197 . doi: 10.1046/j.1365-2958.2003.03368.x OpenUrl CrossRef PubMed Web of Science 10. ↵ Misslinger M , Hortschansky P , Brakhage AA , Haas H . 2021 . Fungal iron homeostasis with a focus on Aspergillus fumigatus . Biochim Biophys Acta Mol Cell Res 1868 : 118885 . doi: 10.1016/j.bbamcr.2020.118885 OpenUrl CrossRef PubMed 11. ↵ Stearman R , Yuan DS , Yamaguchi-Iwai Y , Klausner RD , Dancis A . 1996 . A permease-oxidase complex involved in high-affinity iron uptake in yeast . Science 271 : 1552 – 1557 . doi: 10.1126/science.271.5255.1552 OpenUrl Abstract 12. ↵ Dix D , Bridgham J , Broderius M , Eide D . 1997 . Characterization of the FET4 protein of yeast. Evidence for a direct role in the transport of iron . J Biol Chem 272 : 11770 – 11777 . doi: 10.1074/jbc.272.18.11770 OpenUrl Abstract / FREE Full Text 13. ↵ Yun CW , Tiedeman JS , Moore RE , Philpott CC . 2000 . Siderophore-iron uptake in Saccharomyces cerevisiae . Identification of ferrichrome and fusarinine transporters . J Biol Chem 275 : 16354 – 16359 . doi: 10.1074/jbc.M001456200 OpenUrl Abstract / FREE Full Text 14. ↵ Philpott CC . 2006 . Iron uptake in fungi: a system for every source . Biochim Biophys Acta 1763 : 636 – 645 . doi: 10.1016/j.bbamcr.2006.05.008 OpenUrl CrossRef PubMed Web of Science 15. ↵ Schrettl M , Bignell E , Kragl C , Joechl C , Rogers T , Arst HN , Jr. , Haynes K , Haas H . 2004 . Siderophore biosynthesis but not reductive iron assimilation is essential for Aspergillus fumigatus virulence . J Exp Med 200 : 1213 – 1219 . doi: 10.1084/jem.20041242 OpenUrl Abstract / FREE Full Text 16. ↵ Aguiar M , Orasch T , Misslinger M , Dietl AM , Gsaller F , Haas H . 2021 . The siderophore transporters Sit1 and Sit2 are essential for utilization of ferrichrome-, ferrioxamine- and coprogen-type siderophores in Aspergillus fumigatus . J Fungi (Basel ) 7 doi: 10.3390/jof7090768 OpenUrl CrossRef PubMed 17. ↵ Schrettl M , Bignell E , Kragl C , Sabiha Y , Loss O , Eisendle M , Wallner A , Arst HN , Jr. , Haynes K , Haas H . 2007 . Distinct roles for intra- and extracellular siderophores during Aspergillus fumigatus infection . PLoS Pathog 3 : 1195 – 1207 . doi: 10.1371/journal.ppat.0030128 OpenUrl CrossRef PubMed Web of Science 18. ↵ Happacher I , Aguiar M , Alilou M , Abt B , Baltussen TJH , Decristoforo C , Melchers WJG , Haas H . 2023 . The siderophore ferricrocin mediates iron acquisition in Aspergillus fumigatus . Microbiol Spectr 11 : e0049623 . doi: 10.1128/spectrum.00496-23 OpenUrl CrossRef 19. ↵ Takemura K , Kolasinski V , Del Poeta M , Vieira de Sa NF , Garg A , Ojima I , Del Poeta M , Pereira de Sa N. 2025 . Iron acquisition strategies in pathogenic fungi . mBio 16 : e0121125 . doi: 10.1128/mbio.01211-25 OpenUrl CrossRef PubMed 20. Verbon EH , Trapet PL , Stringlis IA , Kruijs S , Bakker P , Pieterse CMJ . 2017 . Iron and Immunity . Annu Rev Phytopathol 55 : 355 – 375 . doi: 10.1146/annurev-phyto-080516-035537 OpenUrl CrossRef PubMed 21. ↵ Weinberg ED. 2009 . Iron availability and infection . Biochim Biophys Acta 1790 : 600 – 605 . doi: 10.1016/j.bbagen.2008.07.002 OpenUrl CrossRef PubMed 22. ↵ Kochan I . 1973 . The role of iron in bacterial infections, with special consideration of host-tubercle bacillus interaction . Curr Top Microbiol Immunol 60 : 1 – 30 . doi: 10.1007/978-3-642-65502-9_1 OpenUrl CrossRef PubMed 23. ↵ Tesei D . 2022 . Black fungi research: Out-of-this-world implications . Encyclopedia 2 : 212 – 229 . doi: 10.3390/encyclopedia2010013 OpenUrl CrossRef 24. ↵ Seyedmousavi S , Netea MG , Mouton JW , Melchers WJ , Verweij PE , de Hoog GS. 2014 . Black yeasts and their filamentous relatives: principles of pathogenesis and host defense . Clin Microbiol Rev 27 : 527 – 542 . doi: 10.1128/CMR.00093-13 OpenUrl Abstract / FREE Full Text 25. ↵ Gorbushina AA . 2007 . Life on the rocks . Environ Microbiol 9 : 1613 – 31 . doi: 10.1111/j.1462-2920.2007.01301.x OpenUrl CrossRef PubMed Web of Science 26. ↵ Gorbushina AA , Kotlova ER , Sherstneva OA . 2008 . Cellular responses of microcolonial rock fungi to long-term desiccation and subsequent rehydration . Stud Mycol 61 : 91 – 97 . doi: 10.3114/sim.2008.61.09 OpenUrl CrossRef PubMed 27. ↵ Noack-Schönmann S , Spagin O , Gründer KP , Breithaupt M , Günter A , Muschik B , Gorbushina AA . 2014 . Sub-aerial biofilms as blockers of solar radiation: spectral properties as tools to characterise material-relevant microbial growth . Int Biodeterior Biodegrad 86 : 286 – 293 . doi: 10.1016/j.ibiod.2013.09.020 OpenUrl CrossRef 28. ↵ Franz M , Dumke H . 2025 . Evolution of patterns of specific land use by free-field photovoltaic power plants in Europe from 2006 to 2022 . Energy Sustain Soc 15 : 12 . doi: 10.1186/s13705-024-00504-w OpenUrl CrossRef 29. ↵ De Leo F , Marchetta A , Urzì C. 2022 . Black fungi on stone-built heritage: current knowledge and future outlook . Applied Sciences 12 : 3969 . doi: 10.3390/app12083969 OpenUrl CrossRef 30. ↵ Voigt O , Knabe N , Nitsche S , Erdmann EA , Schumacher J , Gorbushina AA . 2020 . An advanced genetic toolkit for exploring the biology of the rock-inhabiting black fungus Knufia petricola . Sci Rep 10 : 22021 . doi: 10.1038/s41598-020-79120-5 OpenUrl CrossRef PubMed 31. ↵ Erdmann EA , Nitsche S , Gorbushina AA , Schumacher J . 2022 . Genetic engineering of the rock inhabitant Knufia petricola provides insight into the biology of extremotolerant black fungi . Front Fungal Biol 3 : 862429 . doi: 10.3389/ffunb.2022.862429 OpenUrl CrossRef 32. ↵ Erdmann EA , Brandhorst AKM , Gorbushina AA , Schumacher J . 2024 . The Tet-on system for controllable gene expression in the rock-inhabiting black fungus Knufia petricola . Extremophiles 28 : 38 . doi: 10.1007/s00792-024-01354-2 OpenUrl CrossRef 33. ↵ Potenciano da Silva KL , Moraes D , Lechner B , Lindner H , Haas H , Almeida Soares CM , Silva-Bailao MG , Bailao AM. 2023 . Fonsecaea pedrosoi produces ferricrocin and can utilize different host iron sources . Fungal Biol 127 : 1512 – 1523 . doi: 10.1016/j.funbio.2023.07.002 OpenUrl CrossRef PubMed 34. ↵ Philpott CC , Protchenko O . 2008 . Response to iron deprivation in Saccharomyces cerevisiae . Eukaryot Cell 7 : 20 – 27 . doi: 10.1128/EC.00354-07 OpenUrl FREE Full Text 35. ↵ Gerrits R. 2019 . An experimental study of fungal olivine weathering . PhD Thesis. Freie Universität Berlin, Berlin, Germany , doi: 10.17169/refubium-2880 OpenUrl CrossRef 36. ↵ Gerrits R , Pokharel R , Breitenbach R , Radnik J , Feldmann I , Schuessler JA , von Blanckenburg F , Gorbushina AA , Schott J. 2020 . How the rock -inhabiting fungus K. petricola A95 enhances olivine dissolution through attachment . Geochim Cosmochim Ac 282 : 76 – 97 . doi: 10.1016/j.gca.2020.05.010 OpenUrl CrossRef 37. ↵ Isola D , Zucconi L , Onofri S , Caneva G , de Hoog GS , Selbmann L. 2016 . Extremotolerant rock inhabiting black fungi from Italian monumental sites . Fungal Divers 76 : 75 – 96 . doi: 10.1007/s13225-015-0342-9 OpenUrl CrossRef 38. ↵ Wollenzien U , de Hoog GS , Krumbein W , Uijthof JM. 1997 . Sarcinomyces petricola , a new microcolonial fungus from marble in the Mediterranean basin . Antonie Van Leeuwenhoek 71 : 281 – 288 . doi: 10.1023/a:1000157803954 OpenUrl CrossRef 39. ↵ Arosio P , Carmona F , Gozzelino R , Maccarinelli F , Poli M . 2015 . The importance of eukaryotic ferritins in iron handling and cytoprotection . Biochem J 472 : 1 – 15 . doi: 10.1042/BJ20150787 OpenUrl Abstract / FREE Full Text 40. ↵ David CN , Easterbrook K . 1971 . Ferritin in the fungus Phycomyces . J Cell Biol 48 : 15 – 28 . doi: 10.1083/jcb.48.1.15 OpenUrl Abstract / FREE Full Text 41. ↵ Chander AM , de Melo Teixeira M , Singh NK , Williams MP , Parker CW , Leo P , Stajich JE , Torok T , Tighe S , Mason CE , Venkateswaran K. 2024 . Genomic and morphological characterization of Knufia obscura isolated from the Mars 2020 spacecraft assembly facility . Sci Rep 14 : 12249 . doi: 10.1038/s41598-024-61115-1 OpenUrl CrossRef PubMed 42. ↵ Miller BR , Gulick AM . 2016 . Structural biology of nonribosomal peptide synthetases . Methods Mol Biol 1401 : 3 – 29 . doi: 10.1007/978-1-4939-3375-4_1 OpenUrl CrossRef PubMed 43. Winkelmann G . 2007 . Ecology of siderophores with special reference to the fungi . Biometals 20 : 379 – 392 . doi: 10.1007/s10534-006-9076-1 OpenUrl CrossRef PubMed Web of Science 44. Happacher I , Aguiar M , Yap A , Decristoforo C , Haas H . 2023 . Fungal siderophore metabolism with a focus on Aspergillus fumigatus : impact on biotic interactions and potential translational applications . Essays Biochem 67 : 829 – 842 . doi: 10.1042/EBC20220252 OpenUrl CrossRef 45. ↵ French KS , Chukwuma E , Linshitz I , Namba K , Duckworth OW , Cubeta MA , Baars O . 2024 . Inactivation of siderophore iron-chelating moieties by the fungal wheat root symbiont Pyrenophora biseptata . Environ Microbiol Rep 16 : e13234 . doi: 10.1111/1758-2229.13234 OpenUrl CrossRef PubMed 46. ↵ Selbmann L , Benko Z , Coleine C , de Hoog S , Donati C , Druzhinina I , Emri T , Ettinger CL , Gladfelter AS , Gorbushina AA , Grigoriev IV , Grube M , Gunde-Cimerman N , Karanyi ZA , Kocsis B , Kubressoian T , Miklos I , Miskei M , Muggia L , Northen T , Novak-Babic M , Pennacchio C , Pfliegler WP , Pocsi I , Prigione V , Riquelme M , Segata N , Schumacher J , Shelest E , Sterflinger K , Tesei D , U’Ren JM , Varese GC , Vazquez-Campos X , Vicente VA , Souza EM , Zalar P , Walker AK , Stajich JE. 2020 . Shed Light in the DaRk LineagES of the Fungal Tree of Life-STRES . Life (Basel ) 10 : 362 . doi: 10.3390/life10120362 OpenUrl CrossRef PubMed 47. ↵ Favero-Longo SE , Gazzano C , Girlanda M , Castelli D , Tretiach M , Baiocchi C , Piervittori R . 2011 . Physical and Chemical Deterioration of Silicate and Carbonate Rocks by Meristematic Microcolonial Fungi and Endolithic Lichens (Chaetothyriomycetidae) . Geomicrobiol J 28 : 732 – 744 . doi: 10.1080/01490451.2010.517696 OpenUrl CrossRef 48. ↵ Blatzer M , Schrettl M , Sarg B , Lindner HH , Pfaller K , Haas H . 2011 . SidL, an Aspergillus fumigatus transacetylase involved in biosynthesis of the siderophores ferricrocin and hydroxyferricrocin . Appl Environ Microbiol 77 : 4959 – 66 . doi: 10.1128/AEM.00182-11 OpenUrl Abstract / FREE Full Text 49. ↵ Oberegger H , Schoeser M , Zadra I , Abt B , Haas H . 2001 . SREA is involved in regulation of siderophore biosynthesis, utilization and uptake in Aspergillus nidulans . Mol Microbiol 41 : 1077 – 1089 . doi: 10.1046/j.1365-2958.2001.02586.x OpenUrl CrossRef PubMed Web of Science 50. ↵ Schrettl M , Kim HS , Eisendle M , Kragl C , Nierman WC , Heinekamp T , Werner ER , Jacobsen I , Illmer P , Yi H , Brakhage AA , Haas H . 2008 . SreA-mediated iron regulation in Aspergillus fumigatus . Mol Microbiol 70 : 27 – 43 . doi: 10.1111/j.1365-2958.2008.06376.x OpenUrl CrossRef PubMed 51. Blatzer M , Barker BM , Willger SD , Beckmann N , Blosser SJ , Cornish EJ , Mazurie A , Grahl N , Haas H , Cramer RA . 2011 . SREBP coordinates iron and ergosterol homeostasis to mediate triazole drug and hypoxia responses in the human fungal pathogen Aspergillus fumigatus . PLoS Genet 7 : e1002374 . doi: 10.1371/journal.pgen.1002374 OpenUrl CrossRef PubMed 52. ↵ Schrettl M , Beckmann N , Varga J , Heinekamp T , Jacobsen ID , Jochl C , Moussa TA , Wang S , Gsaller F , Blatzer M , Werner ER , Niermann WC , Brakhage AA , Haas H . 2010 . HapX-mediated adaption to iron starvation is crucial for virulence of Aspergillus fumigatus . PLoS Pathog 6 : e1001124 . doi: 10.1371/journal.ppat.1001124 OpenUrl CrossRef PubMed 53. ↵ Field TB , Mccourt JL , Mcbryde WAE . 1974 . Composition and stability of iron and copper citrate complexes in aqueous-solution . Can J Chem 52 : 3119 – 3124 . doi: 10.1139/v74-458 OpenUrl CrossRef Web of Science 54. ↵ Ecker DJ , Emery T . 1983 . Iron uptake from ferrichrome A and iron citrate in Ustilago sphaerogena . J Bacteriol 155 : 616 – 22 . doi: 10.1128/jb.155.2.616-622.1983 OpenUrl Abstract / FREE Full Text 55. ↵ Yun CW , Ferea T , Rashford J , Ardon O , Brown PO , Botstein D , Kaplan J , Philpott CC . 2000 . Desferrioxamine-mediated iron uptake in Saccharomyces cerevisiae . Evidence for two pathways of iron uptake . J Biol Chem 275 : 10709 – 10715 . doi: 10.1074/jbc.275.14.10709 OpenUrl Abstract / FREE Full Text 56. ↵ Lesuisse E , Labbe P . 1989 . Reductive and non-reductive mechanisms of iron assimilation by the yeast Saccharomyces cerevisiae . J Gen Microbiol 135 : 257 – 263 . doi: 10.1099/00221287-135-2-257 OpenUrl CrossRef PubMed Web of Science 57. ↵ Cheah SF , Kraemer SM , Cervini-Silva J , Sposito G . 2003 . Steady-state dissolution kinetics of goethite in the presence of desferrioxamine B and oxalate ligands: implications for the microbial acquisition of iron . Chem Geol 198 : 63 – 75 . doi: 10.1016/S0009-2541(02)00421-7 OpenUrl CrossRef GeoRef Web of Science 58. ↵ Reichard PU , Kretzschmar R , Kraemer SM . 2007 . Dissolution mechanisms of goethite in the presence of siderophores and organic acids . Geochim Cosmochim Ac 71 : 5635 – 5650 . doi: 10.1016/j.gca.2006.12.022 OpenUrl CrossRef GeoRef Web of Science 59. ↵ Gadd GM , Derome L . 1988 . Biosorption of copper by fungal melanin . Appl Microbiol Biot 29 : 610 – 617 . doi: 10.1007/Bf00260993 OpenUrl CrossRef 60. Fogarty RV , Tobin JM . 1996 . Fungal melanins and their interactions with metals . Enzyme Microb Technol 19 : 311 – 317 . doi: 10.1016/0141-0229(96)00002-6 OpenUrl CrossRef PubMed Web of Science 61. ↵ Zadlo AC , Sarna T . 2019 . Interaction of iron ions with melanin . Acta Biochim Pol 66 : 459 – 462 . doi: 10.18388/abp.2019_2889 OpenUrl CrossRef PubMed 62. ↵ Gan EV , Haberman HF , Menon IA . 1976 . Electron transfer properties of melanin . Arch Biochem Biophys 173 : 666 – 672 . doi: 10.1016/0003-9861(76)90304-0 OpenUrl CrossRef PubMed Web of Science 63. ↵ Pilas B , Sarna T , Kalyanaraman B , Swartz HM . 1988 . The effect of melanin on iron associated decomposition of hydrogen peroxide . Free Radic Biol Med 4 : 285 – 293 . doi: 10.1016/0891-5849(88)90049-4 OpenUrl CrossRef PubMed Web of Science 64. ↵ Nyhus KJ , Wilborn AT , Jacobson ES . 1997 . Ferric iron reduction by Cryptococcus neoformans . Infect Immun 65 : 434 – 438 . doi: 10.1128/iai.65.2.434-438.1997 OpenUrl Abstract / FREE Full Text 65. ↵ Eisendle M , Schrettl M , Kragl C , Muller D , Illmer P , Haas H . 2006 . The intracellular siderophore ferricrocin is involved in iron storage, oxidative-stress resistance, germination, and sexual development in Aspergillus nidulans . Eukaryot Cell 5 : 1596 – 1603 . doi: 10.1128/EC.00057-06 OpenUrl Abstract / FREE Full Text 66. ↵ Srivastava VK , Suneetha KJ , Kaur R . 2014 . A systematic analysis reveals an essential role for high-affinity iron uptake system, haemolysin and CFEM domain-containing protein in iron homoeostasis and virulence in Candida glabrata . Biochem J 463 : 103 – 114 . doi: 10.1042/BJ20140598 OpenUrl Abstract / FREE Full Text 67. ↵ Koppenol WH . 2001 . The Haber-Weiss cycle--70 years later . Redox Rep 6 : 229 – 34 . doi: 10.1179/135100001101536373 OpenUrl CrossRef PubMed Web of Science 68. ↵ Koppenol WH , Hider RH . 2019 . Iron and redox cycling. Do’s and don’ts . Free Radic Biol Med 133 : 3 – 10 . doi: 10.1016/j.freeradbiomed.2018.09.022 OpenUrl CrossRef PubMed 69. ↵ Kubo I , Lee SH , Ha TJ . 2005 . Effect of EDTA alone and in combination with polygodial on the growth of Saccharomyces cerevisiae . J Agric Food Chem 53 : 1818 – 1822 . doi: 10.1021/jf049363z OpenUrl CrossRef PubMed 70. ↵ Gonzalez K , Montanares M , Gallardo M , Gil-Duran C , Forero AM , Rodriguez J , Jimenez C , Vaca I , Chavez R . 2025 . Molecular basis for the biosynthesis of the siderophore coprogen in the cheese-ripening fungus Penicillium roqueforti . Biol Res 58 : 51 . doi: 10.1186/s40659-025-00633-2 OpenUrl CrossRef PubMed 71. ↵ Renshaw JC , Robson GD , Trinci APJ , Wiebe MG , Livens FR , Collison D , Taylor RJ . 2002 . Fungal siderophores: structures, functions and applications . Mycol Res 106 : 1123 – 1142 . doi: 10.1017/S0953756202006548 OpenUrl CrossRef Web of Science 72. ↵ Kragten J. 1978 . Atlas of metal—ligand equilibria in aqueous solution . Ellis Horwood Ltd ., Chichester, UK . https://archive.org/details/atlasofmetalliga0000krag 73. ↵ Smith RM , Martell AE . 1987 . Critical stability-constants, enthalpies and entropies for the formation of metal-complexes of aminopolycarboxylic acids and carboxylic-acids . Sci Total Environ 64 : 125 – 147 . doi: 10.1016/0048-9697(87)90127-6 OpenUrl CrossRef 74. ↵ Martinez JS , Carter-Franklin JN , Mann EL , Martin JD , Haygood MG , Butler A . 2003 . Structure and membrane affinity of a suite of amphiphilic siderophores produced by a marine bacterium . Proc Natl Acad Sci U S A 100 : 3754 – 3759 . doi: 10.1073/pnas.0637444100 OpenUrl Abstract / FREE Full Text 75. ↵ Zhang J , Qi L , Chen G , Yin WB . 2021 . Discovery and genetic identification of amphiphilic coprogen siderophores from Trichoderm hypoxylon . Appl Microbiol Biotechnol 105 : 2831 – 2839 . doi: 10.1007/s00253-021-11245-7 OpenUrl CrossRef 76. ↵ Li L , Chen OS , McVey Ward D , Kaplan J . 2001 . CCC1 is a transporter that mediates vacuolar iron storage in yeast . J Biol Chem 276 : 29515 – 9 . doi: 10.1074/jbc.M103944200 OpenUrl Abstract / FREE Full Text 77. ↵ Urbanowski JL , Piper RC . 1999 . The iron transporter Fth1p forms a complex with the Fet5 iron oxidase and resides on the vacuolar membrane . J Biol Chem 274 : 38061 – 38070 . doi: 10.1074/jbc.274.53.38061 OpenUrl Abstract / FREE Full Text 78. ↵ Sterflinger K , Gorbushina AA . 1997 . Morphological and molecular characterization of a rock inhabiting and rock decaying dematiaceous fungus isolated from antique monuments of Delos (Cyclades, Greece) and Chersonesus (Crimea, Ukraine) . Syst Appl Microbiol 20 : 329 – 335 . doi: 10.1016/S0723-2020(97)80080-X OpenUrl CrossRef 79. ↵ Tanner K , Molina-Menor E , Latorre-Perez A , Vidal-Verdu A , Vilanova C , Pereto J , Porcar M . 2020 . Extremophilic microbial communities on photovoltaic panel surfaces: a two-year study . Microb Biotechnol 13 : 1819 – 1830 . doi: 10.1111/1751-7915.13620 OpenUrl CrossRef PubMed 80. ↵ Martin-Sanchez PM , Gebhardt C , Toepel J , Barry J , Munzke N , Günster J , Gorbushina AA . 2018 . Monitoring microbial soiling in photovoltaic systems: A qPCR-based approach . Int Biodeterior Biodegrad 129 : 13 – 22 . doi: 10.1016/j.ibiod.2017.12.008 OpenUrl CrossRef 81. ↵ Shirakawa MA , Zilles R , Mocelin A , Gaylarde CC , Gorbushina A , Heidrich G , Giudice MC , Del Negro GM , John VM . 2015 . Microbial colonization affects the efficiency of photovoltaic panels in a tropical environment . J Environ Manage 157 : 160 – 167 . doi: 10.1016/j.jenvman.2015.03.050 OpenUrl CrossRef PubMed 82. ↵ United Nations FCoCC . 2023 . Outcome of the first global stocktake, abstr Conference of the Parties serving as the meeting of the Parties to the Paris Agreement , Fifth session, United Arab Emirates, https://unfccc.int/sites/default/files/resource/cma2023_L17_adv.pdf 83. ↵ De Lucca AJ , Boue S , Sien T , Cleveland TE , Walsh TJ. 2011 . Silver enhances the in vitro antifungal activity of the saponin, CAY-1 . Mycoses 54 : e1 – 9 . doi: 10.1111/j.1439-0507.2009.01811.x OpenUrl CrossRef PubMed 84. ↵ Lai YW , Campbell LT , Wilkins MR , Pang CN , Chen S , Carter DA . 2016 . Synergy and antagonism between iron chelators and antifungal drugs in Cryptococcus . Int J Antimicrob Agents 48 : 388 – 394 . doi: 10.1016/j.ijantimicag.2016.06.012 OpenUrl CrossRef PubMed 85. ↵ Bureau EC . 2004 . Summary risk assessment report, edetic acid (EDTA) https://echa.europa.eu/documents/10162/5ed7db13-e932-4999-8514-378ce88ca51f 86. ↵ Lerochem . 2019 . KOPER EDTA 99%, Cu-15%, kg . https://lerochem.eu/nl/pagrindinis/428-koper-edta-99-cu-15-kg.html?srsltid=AfmBOopYyFVHis42VcC7TKrsuirMoh_68eRZK60LHBs6w89LkbFTc3DE&product_rewrite=1449-koper-edta-99-cu-15-kg . Accessed 19.09.2025. 87. ↵ Schowanek D , Feijtel TC , Perkins CM , Hartman FA , Federle TW , Larson RJ . 1997 . Biodegradation of [S,S], [R,R] and mixed stereoisomers of ethylene diamine disuccinic acid (EDDS), a transition metal chelator . Chemosphere 34 : 2375 – 2391 . doi: 10.1016/s0045-6535(97)00082-9 OpenUrl CrossRef PubMed Web of Science 88. ↵ Jones PW , Williams DR . 2001 . Speciation efficiency indices (SEI) and readily-biodegradable indices (RBI) for optimising ligand control of environmental and associated industrial processes . Int J Environ An Ch 81 : 73 – 88 . doi: 10.1080/03067310108044359 OpenUrl CrossRef 89. ↵ Beltyukova M , Kuryntseva P , Galitskaya P , Selivanovskaya S , Brusko V , Dimiev A . 2023 . Biodegradation rate of EDTA and IDS and their metal complexes . Horticulturae 9 : 623 . doi: 10.3390/horticulturae9060623 OpenUrl CrossRef 90. ↵ Brusko V , Garifullin B , Geniyatullina G , Kuryntseva P , Galieva G , Galitskaya P , Selivanovskaya S , Dimiev AM . 2023 . Novel biodegradable chelating agents for micronutrient fertilization . J Agric Food Chem 71 : 14979 – 14988 . doi: 10.1021/acs.jafc.3c03500 OpenUrl CrossRef 91. ↵ Hyvönen H , Orama M , Saarinen H , Aksela R . 2003 . Studies on biodegradable chelating ligands: complexation of iminodisuccinic acid (ISA) with Cu(ii), Zn(ii), Mn(ii) and Fe(iii) ions in aqueous solution . Green Chem 5 : 410 – 414 . doi: 10.1039/b303372b OpenUrl CrossRef 92. ↵ Orama M , Hyvönen H , Saarinen H , Aksela R . 2002 . Complexation of [S,S] and mixed stereoisomers of N,N′-ethylenediaminedisuccinic acid (EDDS) with Fe(III), Cu(II), Zn(II) and Mn(II) ions in aqueous solution . J Chem Soc Dalton Trans : 4644 – 4648 . doi: 10.1039/b207777a OpenUrl CrossRef 93. ↵ Nai C , Wong HY , Pannenbecker A , Broughton WJ , Benoit I , de Vries RP , Gueidan C , Gorbushina AA. 2013 . Nutritional physiology of a rock-inhabiting, model microcolonial fungus from an ancestral lineage of the Chaetothyriales (Ascomycetes) . Fungal Genet Biol 56 : 54 – 66 . doi: 10.1016/j.fgb.2013.04.001 OpenUrl CrossRef PubMed 94. ↵ Winston F , Dollard C , Ricupero-Hovasse SL . 1995 . Construction of a set of convenient Saccharomyces cerevisiae strains that are isogenic to S288C . Yeast 11 : 53 – 55 . doi: 10.1002/yea.320110107 OpenUrl CrossRef PubMed Web of Science 95. ↵ Levin-Reisman I , Fridman O , Balaban NQ . 2014 . ScanLag: high-throughput quantification of colony growth and lag time . J Vis Exp : 51456 . doi: 10.3791/51456 OpenUrl CrossRef PubMed 96. ↵ Stanke M , Steinkamp R , Waack S , Morgenstern B . 2004 . AUGUSTUS: a web server for gene finding in eukaryotes . Nucleic Acids Res 32 : W309 – 12 . doi: 10.1093/nar/gkh379 OpenUrl CrossRef PubMed Web of Science 97. ↵ Quevillon E , Silventoinen V , Pillai S , Harte N , Mulder N , Apweiler R , Lopez R . 2005 . InterProScan: protein domains identifier . Nucleic Acids Res 33 : W116 – 20 . doi: 10.1093/nar/gki442 OpenUrl CrossRef PubMed Web of Science 98. ↵ Guindon S , Dufayard JF , Lefort V , Anisimova M , Hordijk W , Gascuel O . 2010 . New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0 . Syst Biol 59 : 307 – 21 . doi: 10.1093/sysbio/syq010 OpenUrl CrossRef PubMed Web of Science 99. ↵ Schumacher J . 2012 . Tools for Botrytis cinerea : New expression vectors make the gray mold fungus more accessible to cell biology approaches . Fungal Genet Biol 49 : 483 – 497 . doi: 10.1016/j.fgb.2012.03.005 OpenUrl CrossRef PubMed 100. ↵ Colot HV , Park G , Turner GE , Ringelberg C , Crew CM , Litvinkova L , Weiss RL , Borkovich KA , Dunlap JC . 2006 . A high-throughput gene knockout procedure for Neurospora reveals functions for multiple transcription factors . Proc Natl Acad Sci U S A 103 : 10352 – 10357 . doi: 10.1073/pnas.0601456103 OpenUrl Abstract / FREE Full Text 101. ↵ Von Blanckenburg F , Wittmann H , Schuessler JA. 2016 . HELGES: Helmholtz Laboratory for the Geochemistry of the Earth Surface . Journal of large-scale research facilities JLSRF 2 doi: 10.17815/jlsrf-2-141 OpenUrl CrossRef 102. ↵ R Core Team R . 2025 . R: A language and environment for statistical computing, vR version 4.5.1 . R Foundation for Statistical Computing , Vienna, Austria . https://www.R-project.org/ . View the discussion thread. Back to top Previous Next Posted November 20, 2025. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. 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