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The fungal composition of natural biofinishes on oil-treated wood

Abstract

Background

Biofinished wood is considered to be a decorative and protective material for outdoor constructions, showing advantages compared to traditional treated wood in terms of sustainability and self-repair. Natural dark wood staining fungi are essential to biofinish formation on wood. Although all sorts of outdoor situated timber are subjected to fungal staining, the homogenous dark staining called biofinish has only been detected on specific vegetable oil-treated substrates. Revealing the fungal composition of various natural biofinishes on wood is a first step to understand and control biofinish formation for industrial application.

Results

A culture-based survey of fungi in natural biofinishes on oil-treated wood samples showed the common wood stain fungus Aureobasidium and the recently described genus Superstratomyces to be predominant constituents. A culture-independent approach, based on amplification of the internal transcribed spacer regions, cloning and Sanger sequencing, resulted in clone libraries of two types of biofinishes. Aureobasidium was present in both biofinish types, but was only predominant in biofinishes on pine sapwood treated with raw linseed oil. Most cloned sequences of the other biofinish type (pine sapwood treated with olive oil) could not be identified. In addition, a more in-depth overview of the fungal composition of biofinishes was obtained with Illumina amplicon sequencing that targeted the internal transcribed spacer region 1. All investigated samples, that varied in wood species, (oil) treatments and exposure times, contained Aureobasidium and this genus was predominant in the biofinishes on pine sapwood treated with raw linseed oil. Lapidomyces was the predominant genus in most of the other biofinishes and present in all other samples. Surprisingly, Superstratomyces, which was predominantly detected by the cultivation-based approach, could not be found with the Illumina sequencing approach, while Lapidomyces was not detected in the culture-based approach.

Conclusions

Overall, the culture-based approach and two culture-independent methods that were used in this study revealed that natural biofinishes were composed of multiple fungal genera always containing the common wood staining mould Aureobasidium. Besides Aureobasidium, the use of other fungal genera for the production of biofinished wood has to be considered.

Background

Microbial growth causing discolouration on surfaces of outdoor situated materials is a common phenomenon [1–3]. Frequently these microbial stains are referred to as biofilm, although not all commonly accepted biofilm criteria might have been investigated [4]. Dark staining of painted and unpainted wood is mostly attributed to fungi and generally considered as unwanted discolouration [5, 6]. In contrast, the specific dark stain formation on wood called biofinish is considered to be a functional colouration [4] (Fig. 1). The colouration of a biofinish is, together with its presumed protection and self-healing properties, an important ingredient of a sustainable solution for a biocide free wood finish system [4, 7]. A biofinish refers to a dark pigmented layer, that covers a wood surface almost entirely without exposing underlying wood structures, contains abundant microbial mass and that is irreversibly attached to the surface [4]. Biofinishes have been detected on wood impregnated with olive oil or raw linseed oil [4, 8]. The study described in this paper is focused on the characterization of the fungal composition of these biofinishes.

Fig. 1
figure 1

Oil-treated pine sapwood samples with natural formed biofinish and weathered samples without biofinish. Samples in the left row: treated with raw linseed oil. Samples in the middle row: treated with olive oil. Samples in the right row: untreated. Scale bar 10 mm

Although several fungal species are associated with outdoor wood staining [6, 9], little is known to which extent each taxon contributes to this staining. In some studies the fungal populations on timber surfaces were quantified [10, 11]. The study by Sailer et al. [7] provides data, particularly of interest for the biofinishes on wood. One specific sample, made of pine sapwood and impregnated with refined linseed oil dissolved in acetone, was used to study the fungal composition of a homogenous dark stained wood surface. Later, biofinishes were detected on other outdoor exposed oil-treated wood samples, including samples made of different wood species treated with olive oil. Analysis of these samples revealed the abundancy of the wood staining fungus Aureobasidium, but the results also indicated that this genus might not always dictate the fungal population of dense dark stained wood samples [4, 12]. The wood species, oil type and the geographical location could influence the fungal community composition of a biofinish. In order to manufacture a stable biofinish and eventually apply biofinished wood in practice, a detailed composition of fungi present at various stained wood surfaces is elucidated in this paper.

Different techniques are available to study a fungal community on the surface of an environmental sample such outdoor exposed wood. Each technique has its advantages and disadvantages. Microscopic examination of the surface can be an easy method to study the surface of a material [13]. The main disadvantage is that identification and enumeration is difficult in case of moulds on oil-treated wood surfaces [4]. A common way to identify and enumerate fungi is by culturing. A swab-based method can be used to analyse the culturable fungi that are present on a sample surface [4, 14]. This includes the determination of the number of colony forming units after incubation and identification based on macroscopic, microscopic and/or molecular analysis. Culture-based analysis only allows the detection of readily culturable species, which is effected by the media selection and overestimates the presence of abundantly sporulating species [13]. Culture-independent methods based on DNA analysis are frequently used and show complementary results [15–17]. Culture-independent approaches that rely on Next Generation Sequencing (NGS) methods have become state of the art to study microbial communities [16, 18, 19]. Albeit that these NGS methods provide advantages compared to earlier developed techniques, research to control and understand the biases occurring in all steps of a NGS method is still ongoing [18–20].

The objective of the present study was to analyse the fungal composition of various biofinishes on oil-treated wood surfaces. A culture-based swab method and two non-culturing methods based on either amplicon-cloning followed by Sanger sequencing or Illumina amplicon sequencing were selected for the analysis. Wood samples without oil treatment and/or biofinish were used to compare the diversity and predominance of fungal genera.

Methods

Several natural biofinishes were studied with a culture-based and two DNA sequencing-based methods (Table 1). The biofinish containing samples varied in wood species, type of oil and origin. Wood samples made of the same wood species without a biofinish, were studied as well. The viable fungal composition was studied of all samples. Specific samples, which were exposed in the Netherlands, were selected for the culture-independent fungal profiling methods.

Table 1 Overview of the amount and type of wood samples used per type of fungal profiling method

Wood samples

The different wood species tested were pine (Pinus sylvestris), spruce (Picea abies) and ilomba (Pycnanthus angolensis). Pine samples were made totally of sapwood (sw) or a mixture of sapwood and heartwood (hw). No specific sapwood or heartwood selection was made for spruce and ilomba. Wood blocks were impregnated with raw linseed, stand linseed or olive oil. Sets of impregnated and untreated wood samples were exposed outdoors at different locations (Table 1). The sample dimensions, oil treatments, outdoor exposure and handling procedures were described in van Nieuwenhuijzen et al. [4]. All samples, except for the samples of set 3, have been analysed with the biofinish assessment method. This method consists of observations of the dark stained surface coverage at macroscopic and microscopic scale, and spectrophotometer measurements of the pigmentation [4]. In summary, a biofinish is assigned when more than 90% of the surface is stained and does not expose structures of the wood such as annual rings or wood fibres, and the pigmentation measurements, expressed by sRGB colour space triplets, meet specific criteria (R, G and B values are below 82 and the value difference within a single RGB triplet is below 20). The presence of biofinishes on the wood samples of set 3 was only estimated with visual observations of the stain coverage as described in the biofinish assessment method, which can overestimate biofinish identification.

Culturing colonies

The concentration of colony forming units (CFU) per cm2 wood was determined for each specimen (Table 1). For this, biomass collected with a cotton swab was analysed as described by van Nieuwenhuijzen et al. [4]. Serial dilutions were plated in duplicate (set 1 and 3–5) or triplicate (sample set 2) on dichloran 18% glycerol agar (DG18) and malt extract agar (MEA) supplemented with penicillin and streptomycin (P/S). The agar media was prepared as described by Samson et al. [13]. The total number of colonies and those phenotypically resembling Aureobasidium was determined after seven and fourteen days of incubation at 25 °C [12]. Besides the Aureobasidium colonies, also the predominant colonies were counted. Two or more colonies of each predominantly present colony type were transferred to new MEA plates. The isolates were deposited in the working collection of the Applied and Industrial Mycology department (DTO) housed at the CBS-KNAW Fungal Biodiversity Centre, The Netherlands and subjected to molecular identification.

DNA extraction

DNA was extracted from cultures grown on MEA plates according to van Nieuwenhuijzen et al. [12]. With respect to the culture-independent methods, biomass was removed with a sterile scalpel from the upper surface of a mould stained wood sample, collected on sterile paper and subsequently used to extract DNA [4]. In both cases the Ultraclean Microbial DNA isolation kit (MoBio Laboratories, USA) was used according to manufacturer’s instructions.

PCR and Sanger sequencing of isolates

The nuclear internal transcribed spacers including the 5.8S rRNA gene (ITS) of fungal isolates were amplified with the primer pair V9G [21] and LS266 [22]. In case additional sequence information was needed for a proper identification of a strain, the LSU gene was partially amplified using the forward primer LROR (Reh) GTACCCGCTTGAACTTAAGC [23] or LROR (VilU) ACCCGCTGAACTTAAGC [Vilgalys, unpublished] and the reverse primer LR5 or LR7 [24]. The polymerase chain reaction (PCR) mixtures had final concentrations of: 4% DNA extract, 10% PCR buffer, 3% MgCl2 (25 mM), 65.8% demineralised sterile water, 7.8% dNTP (1 mM), 5% DMSO, 2% forward primer (10 μM), 2% reverse primer and 0.4% Taq polymerase (5 U/mL, BioTaq, Bioline). The PCR program typically consisted of 1 cycle of 5 min denaturation at 95 °C; 35 cycles of 35 s denaturation at 95 °C, followed by ITS-primer annealing for 30 s at 55 °C or LSU-primer annealing at 54 °C for 50 s, and an extension for 1.5 min at 72 °C. The PCR-products were sequenced with the same primers as used for PCR amplification using the BigDye Terminator v. 3.1 Cycle Sequencing Kit (Applied Biosystems, USA). Sequence products were analysed on an ABI PRISM 3730XL genetic analyser (Applied Biosystems, USA) and traces were assembled using Seqman Pro v. 9.0.4 (DNAstar Inc.). The sequences were deposited in GenBank [25].

PCR, cloning and Sanger sequencing

ITS-specific clone libraries were made as described in van Nieuwenhuijzen et al. [12] of two types of biofinishes, formed on different substrates exposed in the Netherlands (Table 1, set 1): pine sapwood treated with raw linseed oil (libraries PRL.1, PRL.2 and PRL.3) and pine sapwood treated with olive oil (PO.1, PO.2 and PO.3). The ITS region was amplified with the primers V9G and LS266 and the GoTaq Long PCR Master Mix (Progema), while using the PCR-program as described above. Purified PCR products (QIAquick PCR purification kit) were ligated and cloned (pGEM®-T Easy Vector Systems) into an Escherichia coli plasmid library. Amplification and Sanger sequencing of DNA from ITS containing competent cells was performed as described in van Nieuwenhuijzen et al. [12]. The sequences were deposited in GenBank [25].

Table 2 The predominantly cultured colony types of each wood sample set

Illumina ITS1 amplicon sequencing

Internal transcribed spacer 1 region (ITS1) amplicon libraries were made of 16 wood samples that were all exposed at one test site (The Netherlands), but variated in wood species, treatment and the presence or absence of a biofinish (Table 1, set 1–2). In a preliminary study several ITS primer combinations and amplification approaches were tested for their suitability of generic detection of fungal genera (unpublished results). Based on these results barcoded ITS1 amplicons were generated using a two-step PCR approach. ITS1 regions were first amplified with the following primers: nex-ITS-BITS-F: TCGTCGGCAGCGTCACCTGCGGARGGATCA and nex-ITS-B58S3-R: GTCTCGTGGGCTCGGGAGATCCRTTGYTRAAAGTT (adapted from Bokulich and Mills [26]). Each reaction contained 300× purified DNA, 1X hot start PCR master mix (Thermo Scientific) and nuclease free PCR grade water to a 50 µl final reaction volume. PCR reactions consisted of an initial denaturation step of 95 °C for 5 min and 30 amplification cycles (95 °C for 30 s, annealing 52 °C for 45 s and elongation 72 °C for 1 min) and a final extension step (72 °C for 10 min) followed by cool down (10 min at 4 °C). A negative control (blank) was included for each 24 PCR reactions. Reactions were cleaned by solid-phase reversible immobilization (SPRI) using AMPure XP SPRI beads (Beckman Coulter, Inc.). Dual barcodes (8 bp) and Illumina Sequencing adapters were attached using the Nextera XT Index Kit (Illumina, San Diego, CA) according to manufacturer’s protocols. Barcoded amplicons were quantified using the Caliper LabChip GX II system (Perkin Elmer, Hopkinton, USA), normalised to the same concentrations, pooled, and gel purified using the Qiaquick spin kit (Qiagen) and AMPure XP SPRI beads. Pooled amplicons were 250-bp paired-end sequenced using the MiSeq system (Illumina). Raw Illumina fastq files were deposited in the European Nucleotide Archive (accession PRJEB13755). The raw data was demultiplexed, quality filtered, and analysed using modules implemented in the Mothur software platform [27]. Quality filtering involved a minimal quality score of 25 in a window of 5 and removal of reads with a length below 100 and above 500 or with ambiguous bases. In addition, chimeras detected using UCHIME and the UNITE database (v6) [28] were removed. Filtered raw reads were merged into paired reads. Subsequently, the relative abundance of unique sequences were calculated for each sample by dividing the number of reads of a single unique sequence by the total number of reads of the sample. Unique sequences with a total sum of relative read abundancies above 0.1% were used for further analysis.

DNA data analysis

ITS and ITS1 sequences were subjected to nucleotide BLAST searches [29] using the non-redundant database of GenBank [25], the Q-bank Fungi database [30] and an internal database of the CBS-KNAW Fungal Biodiversity Centre (Fungal Barcoding data). Identification was performed on genus level. ITS sequences obtained from non-cultured material, which resulted in hits in GenBank with an identity below 97% were marked as ‘unidentified’. Also the ITS1 sequences with query coverages below 90% were marked as ‘unidentified’. For the identification of culturable isolates with an unclear identity based on only ITS sequences, LSU sequences were also compared with the non-redundant nucleotide database of GenBank. ITS sequences of isolates that could not be identified on genus level were aligned with the sequences of the ITS cloning and ITS1 amplicon libraries using Nucleotide BLAST of GenBank(NCBI, Rockville Pike, USA).

Mathematical analysis

A Shannon’s diversity test was used to index the genus diversity in the Illumina amplicon data.

Results

Culturable fungal composition

After culturing biomass of 70 wood samples, the predominantly colony types of 68 samples could be identified (Table 2). The total number CFU’s per square centimetre biofinish varied between 6 × 102 and 4 × 105 CFU/cm2 and the samples without biofinish, which all contained dark mould stains but less than the biofinish criteria prescribed, showed similar results (2 × 101 to 4 × 105 CFU/cm2; Additional file 1: Table S1). Frequently, more than one predominant colony type could be determined in the plated biomass from a single wood sample (Table 2). The isolates and sequence data obtained to identify the predominant type of CFU are listed in Additional file 2: Table S2.

A recently described dark pycnidia producing coelomycete named Superstratomyces was detected as the most commonly occurring predominant colony type in the biofinishes (Table 2; Fig. 2) [31]. This genus was also predominantly present on outdoor exposed samples without a biofinish, including samples without oil (Table 2). Interestingly, the detection of Superstratomyces on wood was restricted to samples exposed in the Netherlands (sample set 1–3).

Fig. 2
figure 2

Identified colony types predominantly isolated from 28 outdoor exposed wood samples with a biofinish

Aureobasidium was predominantly present on 8 of the 28 samples that showed a biofinish (Table 2; Fig. 2). Also samples without a biofinish frequently showed this genus to be one of the predominant colony types (Table 2; Fig. 2). Aureobasidium was isolated from samples existing of all combinations of wood species and (oil) treatments originating from all selected outdoor locations (Additional file 1: Table S1, Additional file 2: Table S2). The Aureobasidium contribution to the total cultured CFU varied largely for biofinish samples (0–97%), but the contribution per sample surface area only rarely (2 out of 28 samples) exceeded the 50% (Additional file 1: Table S1). The stained samples without a biofinish showed a similar range of percentages (0–97%), and the Aureobasidium contribution exceeded the 50% regurlary (13 out of the 42 samples; Additional file 1: Table S1).

Other colonies types which were predominantly isolated from samples with a biofinish were black yeasts (identfified as Exophiala, Phaeococcomyces or Knufia), Taphrina, Sydowia, Phacidiella and Pyrenochaeta. Black yeasts and Sydowia were also isolated as predominant colony types from the stained samples without a biofinish, expended by the genera Cladosporium, Cryptococcus, Pleurophoma and Cyanodermella, and a genus in the family Didymellaceae (Table 2).

Fungal composition of ITS clone libraries

Six ITS clone libraries were constructed from biofinish DNA obtained from pine sapwood samples treated with either raw linseed or olive oil. Each library contained 61–71 clones (Additional file 3: Table S3). In all libraries several genera were identified always including Aureobasidium (Fig. 3).

Fig. 3
figure 3

Genus composition in ITS clone libraries constructed from biofinish DNA. ‘Unidentified’: sequences resulting in best hits with an identity below 97%

Aureobasidium was predominantly present in the cloned DNA of biofinishes on pine sapwood treated with raw linseed oil. In each of the three clone libraries more than 50% of the clones were identified as Aureobasidium. The investigated biofinishes on pine sapwood treated with olive oil did not show this predominance. Their clone libraries had a much lower Aureobasidium percentage, varying from 2 to 13%. Interestingly, the number of sequences which could not be assigned to the genus level was high in these samples. These divergent sequences all differed from the molecular identified strains obtained with the culturing method. Many of them had more than one best hit with sequences in the database while showing identity scores of 82% compared to sequences in GenBank that were named Aureobasidium, Sarcinomyces and Rhizosphaera. The other divergent sequences showed identity coverages varying from 80 to 96% compared to the best hits, which represented up to five genus names for each library (Additional file 3: Table S3). Furthermore, analysis of sequences obtained from all biofinish samples revealed the presence of other dark pigmented fungi, with Lapidomyces as a major contributor (6–27% per library). The in general more sparsely occurring genera were Capronia, Cladosporium, Exophiala, Phaeococcomyces and Epicoccum.

Fungal composition of Illumina ITS1 libraries

Application of the Illumina amplicon method to analyse the fungal biofinish community of the 16 selected wood samples resulted in a total of 2.17 million filtered ITS1 reads. The amount of reads passing the occurrence threshold was 2.02 million. Each wood sample had 6.5 × 104 up to 4.6 × 105 reads with a mean length of 171 nucleotides. In total 400 unique sequences were detected with no nucleotide variation among the reads of a single unique sequence (Additional file 4: Table S4). Most of these unique sequences could be identified to genus-level, but some sequences represented multiple genera or represented an unidentified genus (Fig. 4; Additional file 4: Table S4). The read percentage of this latter category varied for the biofinish samples between 3% till 22% of the total reads. Some of these sequences showed 100% similarity with the unidentified sequences obtained from the clone libraries, while none of these sequences were highly similar to the ITS sequences derived from any of the fungal isolates cultured from biofinishes. The number of different identified genera for the biofinish samples ranged from 26 to 34 and for the non-biofinish wood samples (that all contained dark mould stains but less than the biofinish criteria prescribed) from 27 to 35. The calculated Shannon’s diversity indices were generally lower for the biofinish samples (average 0.8) compared to the samples without a biofinish (average 1.4; Fig. 5).

Fig. 4
figure 4

Genus composition in Illumina ITS1 amplicon libraries constructed from DNA of fungal stained wood surfaces. ‘Unidentified’: sequences resulting in best hits with an identity below 97% or a query coverage below 90%

Fig. 5
figure 5

Shannon diversity index of the genus diversity in the Illumina data of wood samples with and without a biofinish

The Illumina amplicon method revealed the presence of two predominant genera in the amplicon sequencing libraries of the eight samples that contained a biofinish: Aureobasidium and Lapidomyces (Fig. 4). Both genera were determined in the DNA extractions of all samples. In the amplicon sequence libraries of six biofinish containing samples the predominance of Aureobasidium was determined, including all four pine sapwood samples treated with raw linseed oil. These four samples had the highest contribution of Aureobasidium reads per sample (more than 56% for each sample). However, the predominance of this genus was only determined for half of the olive oil-treated samples that contained a biofinish. The other half of the samples contained Lapidomyces as the predominant genus. With respect to the analysed wood samples without biofinish, not one sample showed the predominance of Aureobasidium in the amplicon library, while most of them had Lapidomyces as predominantly present genus. In line with these results the percentage of Aureobasidium reads was higher for the biofinish samples [average 58%, standard deviation (SD) 20%] than for a non-biofinish sample (average 19%, SD 12%), despite the variation in substrates (Fig. 4). The two types of oil that were used for biofinish substrates differed in the percentages of Aureobasidium sequences. The biofinishes on wood treated with olive oil showed a lower percentage for Aureobasidium (31–55%) than the biofinishes on raw linseed oil (59–89%).

Although Cladosporium was detected in all amplicon sequencing libraries of the biofinish samples, the results showed a relative low contribution (average 1%, SD 1%) of this genus to the total reads of a library. The contribution of Cladosporium to the amplicon sequence libraries of samples without a biofinish was higher (average 7%, SD 5%). Similar results were found for the black yeast Phaococcomyces (biofinishes: average 0.2%, SD 0.2%; non-biofinishes: average 6%, SD 7%).

Discussion

The fungal composition of biofinishes

The fungal compositions generated with the culture-based, cloning and Illumina sequencing approach showed overlapping and partly complementary results. For example Aureobasidium was detected in biofinishes with all three techniques. In contrast, the genus Superstratomyces, detected by culturing as a predominant colony type, was absent in the data generated with the culturing-independent approaches. The monotypic genus Lapidomyces, represented by the rock-inhabiting species L. hispanicus [32], was detected in high numbers in the cloning and Illumina libraries, while it was absent in the predominantly cultured isolates. The culturing-independent approaches generated overlapping results, since Aureobasidium was detected with both techniques as predominant genus in the biofinishes on pine treated with raw linseed oil from set 1, with Lapidomyces as the secondly abundant genus. However, the results generated by these two methods of the biofinishes on pine sapwood treated with olive oil from set 1 were more complementary. Although both methods determined the presence of Lapidomyces, it was only predominant in the Illumina amplicon libraries, while the clone libraries had a remarkable high number of unidentified genera. In general the Illumina approach showed a larger diversity of genera (up to 30) compared to the clone approach (up to 7). Despite the complementary results of the three used techniques, each technique showed that biofinishes contain several genera including Aureobasidium.

The variation in the composition of the fungal community on a specific habitat with culture-dependent and culture-independent methods has been frequently reported [17, 33, 34]. Because each method is selective, variation in results seems inevitable. Firstly, only viable fungal propagules that are able to grow in specific lab conditions are identified in the culturing method, while in the case of the methods based on direct DNA extractions also non-culturable fungi can be detected. This explains why Lapidomyces, detected as one of the predominant genera in biofinishes, could only be found with the culture-independent techniques. One of the characteristics of this genus is the slow growth at low temperatures, such as 6 or 15 °C, and its inability to grow at 24 °C [32], while the incubation temperature used in this study was above 24 °C. Secondly, although a DNA-based method seems more complete than a culture-based, selection may happen already during the DNA extraction, since there is no equal efficiency of DNA extraction between all fungal species and/or cell structures [35, 36]. Also primers and PCR programs are known to selectively influence the profile of the microbial community [18, 19, 26]. Besides selection during DNA extraction and amplification, the possibility of variation in community composition due to low sampling numbers should be recognised in the case of the labour intensive cloning approach. Namely, the highest number of identified ITS-fragments represented not more than (71 clones/6,25 cm2 sampling area =) 11 fungal units per cm2 biofinish, while based on the CFU count the numbers in this study, only the culturable fungi can already be up to 4 × 105 fungal units per cm2.

Fungal identification in this study was primarily based on ITS sequences and therefore restricted to genus level. The ITS locus, the formal fungal barcode [28, 37], is not necessarily unique for each species [38, 39] and particularly when only the ITS1 region is analysed. In case of Aureobasidium, the ITS sequences obtained from type strains [12] do show differences between species, but not when the ITS1 sequences are compared. Besides limited species discrimination, the taxonomic reliability of ITS sequences in a database can also be questioned [40], especially when updates of the data based on modern taxonomic revisions within, such as proposed for Aureobasidium [41], are lacking. In order to obtain more accurate species identifications multi-locus sequencing should be applied [12].

The wood staining fungi Aureobasidium, Lapidomyces and Superstratomyces mainly contributed to the fungal biofinish composition

Aureobasidium was frequently detected with all tree techniques as predominant genus in natural biofinishes on oil-treated wood, which indicates the importance of this genus. Although the culturing method also revealed Aureobasidium among the predominant isolates of the stained wood samples that did not meet the specific biofinish criteria, the results of the Illumina approach used in this study showed that this predominance is not as easily detected as it may seem. All eight selected samples without a visible biofinish contained Aureobasidium in their amplicon library, but did not reveal its predominance , whereas six of the eight biofinishes did contain Aureobasidium as predominant detected genus. A few other fungal quantification studies of outdoor substrates, concerning the surface population of grapes, leaves of grapevines, apples and plasticised polyvinyl chloride, also indicate Aureobasidium to be predominantly present [42–45]. Other studied substrates, such as decomposing spruce logs [46], Scots pine needles [47], leaves/leaf litter [48], residential surfaces [49], public restroom floors [50] and the oral microbiome [51] contain Aureobasidium, but not as predominant fungus. In various substrates, even in fungal populations present in wood [52–55], Aureobasidium was not detected at all [33, 34, 56–59]. Apparently substrates and exposure conditions are selective and the surface of outdoor situated oil-treated wood samples that enables biofinish formation has favourable conditions for Aureobasidium.

The importance of genera other than Aureobasidium to outdoor biofinish formation has to be considered, especially of Superstratomyces and Lapidomyces. As expected from the previous results in the study by van Nieuwenhuijzen et al. [4], Aureobasidium was not always detected as the predominant genus of a biofinish. The culture-based method of the current study enabled the identification of at least five other predominant genera (Fig. 2) with Superstratomyces as the most commonly occurring predominant colony type isolated from biofinishes. The detection of Superstratomyces at outdoor exposed untreated wood samples showes that the presence of this genus is not limited to biofinishes or oil-treated substrates. In the clone libraries as well as the amplicon sequence libraries of biofinishes on pine sapwood treated with raw linseed oil, the predominance of Aureobasidium was determined. This is in line with the earlier finding of Aureobasidium as the only predominant genus in the fungal DNA extracted from a single specific sample with homogeneous dark staining published by Sailer et al. [7]. However, biofinishes on pine treated with olive oil contained more Lapidomyces than Aureobasidium sequences in their clone and Illumina amplicon libraries. The Illumina amplicon approach resulted in Lapidomyces as predominant genus, while sequences of an unidentified genus (top hits: Sarcinomyces/Aureobasidium/Rhizosphaera, maximum identity scores: 82%) were predominant in the clone libraries of these biofinishes.

In contrast to the potential importance of abundantly present genera in biofinishes, the importance of some of the detected genera can be questioned. For example, the results of the Illumina amplicon approach indicated a lower contribution of Cladosporium reads to the libraries of biofinish samples compared to the libraries of stained samples that did not meet the biofinish criteria(7%), but also a relative low abundance in total (1%). Also the black yeast Phaeococcomyces was far less represented in the libraries of samples with a biofinish than in the libraries of wood samples without a biofinish. These results are in line with the calculated Shannon’s diversity indices that indicated a lower diversity in the fungal population of biofinish samples than of wood samples without a biofinish.

Competitive advantage of Aureobasidium in natural biofinishes

The detection of the structural presence and frequent predominance of Aureobasidium in biofinishes analysed in this study, confirms the important role of Aureobasidium in biofinish formation. As concluded from van Nieuwenhuijzen et al. [12] the development of Aureobasidium on oil-treated wood starts in the first few days of outdoor exposure. Since many parameters define the conditions on the surface of a material outdoors, it is likely that multiple factors are further responsible for the establishment of Aureobasidium in biofinishes on oil-treated wood.

In particular the production of melanin seems to be involved in the survival of Aureobasidum in biofinishes during outdoor exposure. Melanin plays a role in the protection against UV-light and other environmental stresses [60, 61]. Melanin production is observed in cultures of Aureobasidium [62, 63]. However, other genera are also known to produce melanins [60, 61]. Also the results in this study showed the presence of several other melanin producing fungi on weathered wood surfaces such as Cladosporium and Exophiala. Correlations between the pigmentation of fungal genera, the type and amount of melanins and their specific protective functions need to be investigated to understand the competitive advantage of Aureobasidium.

Also the presence of oil in wood, an essential ingredient for biofinish formation, is thought to play an important role at least due to its provision of carbon sources for Aureobasidium growth ([12], unpublished data). The results of the Illumina approach indicated that the addition of oil to a specific wood species is related to an increase in the amount of Aureobasidium biomass on the wood surface. However, the use of oil or it derivatives as nutrient for growth is also known for species of other genera such as Exophiala (unpublished data) and Malassezia [64, 65]. To enhance the applicability of biofinishes in wood protection more studies are required on the availability of oil (components) at the wood surface and their role in fungal growth.

In addition, the water conditions on the surface of oil-treated wood samples that enables biofinish formation might favour growth of Aureobasidium. At first sight, the surfaces of wood samples treated with oils seem to be dry, unless it rains. However, dew drops have been noticed frequently on the hydrophobic surfaces during outdoor exposure. Although a few fungal species including Aureobasidium sp. and Cladosporium spp. are known to survive periods of low relative humidity [67, 68], fungal structures of Aureobasidium might benefit more than others from the considerably wet conditions. For example, this genus quickly formed visible colonies after inoculation of the biomass on MEA plates (water activity 0.99), while other genera needed more time to appear (data not shown). A detailed study on the water conditions on oil-treated wood samples and the impact of different water conditions on growth of wood-inhabiting genera should be performed.

Conclusions

The presence of the common wood stain fungus Aureobasidium in biofinishes on oil-treated wood with both culturing- and DNA-based techniques is demonstrated. Moreover, the frequent predominance of Aureobasidium emphasises the importance of this genus as biofinish component. The importance of other genera, such as Lapidomyces and Superstratomyces, in biofinish formation has to be considered, but is not recognized for all other detected wood inhibiting fungi.

References

  1. Gaylarde CC, Morton LHG, Loh K, Shirakawa MA. Biodeterioration of external architectural paint films: a review. Int Biodeterior Biodegrad. 2011;658:1189–98.

    Article  Google Scholar 

  2. Gobakken LR, Vestol GI. Surface mould and blue stain fungi on coated Norway spruce cladding. Int Biodeterior Biodegrad. 2012;75:181–6.

    Article  CAS  Google Scholar 

  3. Villa F, Stewart PS, Klapper I, Jacob JM, Cappitelli F. Subaerial biofilms on outdoor stone monuments: changing the perspective toward an ecological framework. Bioscience. 2016;664:285–94.

    Article  Google Scholar 

  4. van Nieuwenhuijzen EJ, Sailer MF, Gobakken LR, Adan OCG, Punt PJ, Samson RA. Detection of outdoor mould staining as biofinish on oil treated wood. Int Biodeterior Biodegrad. 2015;105:215–27.

    Article  Google Scholar 

  5. Bussjaeger S, Daisey G, Simmons R, Spindel S, Williams S. Joint Coatings Forest Prod C. Mildew and mildew control for wood surfaces. J Coat Technol. 1999;71890:67–9.

    Google Scholar 

  6. Gobakken LR, Westin M. Surface mould growth on five modified wood substrates coated with three different coating systems when exposed outdoors. Int Biodeterior Biodegrad. 2008;624:397–402.

    Article  Google Scholar 

  7. Sailer MF, van Nieuwenhuijzen EJ, Knol W. Forming of a functional biofilm on wood surfaces. Ecol Eng. 2010;362:163–7.

    Article  Google Scholar 

  8. van Nieuwenhuijzen EJ, Sailer MF, Gobakken LR, Adan OCG, Punt PJ, Samson RA, editors. Formation of biofinishes on outdoor exposed wood; the impact of wood-oil combination and geographical location Annual Meeting of the International Research Group of Wood Protection; 2016.

  9. Schmidt O. Wood and tree fungi: biology, damage, protection, and use. Berlin Heidelberg: Springer; 2006.

    Google Scholar 

  10. Uzunovic A, Yang DQ, Gagne P, Breuil C, Bernier L, Byrne A, et al. Fungi that cause sapstain in Canadian softwoods. Can J Microbiol. 1999;4511:914–22.

    Article  Google Scholar 

  11. Kelley J, Kennedy R, Kinsey G, Springle WR. Statistical methods applied to field colonisation of coatings by fungi. Part 3: ecology analysis. Surf Coat Int A Coat J. 2006;89(2):91–5.

    Google Scholar 

  12. van Nieuwenhuijzen EJ, Houbraken J, Meijer M, Adan OCG, Samson RA. Aureobasidium melanogenum: a native of dark biofinishes on oil treated wood. Antonie Van Leeuwenhoek. 2016;1095:661–83.

    Article  Google Scholar 

  13. Samson RA, Houbraken J, Thrane U, Frisvad JC, Andersen B. Food and Indoor fungi. Utrecht: CBS-KNAW Fungal Biodiversity Centre; 2010.

    Google Scholar 

  14. Pitt JI, Hocking AD. Fungi and food spoilage. New York: Springer; 2009.

  15. Pitkaranta M, Meklin T, Hyvarinen A, Paulin L, Auvinen P, Nevalainen A, et al. Analysis of fungal flora in indoor dust by ribosomal DNA sequence analysis, quantitative PCR, and culture. Appl Environ Microbiol. 2008;741:233–44.

    Article  Google Scholar 

  16. Su C, Lei LP, Duan YQ, Zhang KQ, Yang JK. Culture-independent methods for studying environmental microorganisms: methods, application, and perspective. Appl Microbiol Biotechnol. 2012;933:993–1003.

    Article  Google Scholar 

  17. Rämä T. Diversity of marine wood-inhabiting fungi in North Norway. Tromsø: Tromsø University Museum; 2014.

    Google Scholar 

  18. Lindahl BD, Nilsson RH, Tedersoo L, Abarenkov K, Carlsen T, Kjoller R, et al. Fungal community analysis by high-throughput sequencing of amplified markers: a user’s guide. New Phytol. 2013;1991:288–99.

    Article  Google Scholar 

  19. Tedersoo L, Anslan S, Bahram M, Polme S, Riit T, Liiv I, et al. Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. Mycokeys. 2015;10:1–43.

    Article  Google Scholar 

  20. van Dijk EL, Jaszczyszyn Y, Thermes C. Library preparation methods for next-generation sequencing: tone down the bias. Exp Cell Res. 2014;3221:12–20.

    Article  Google Scholar 

  21. de Hoog GS, van den Ende A. Molecular diagnostics of clinical strains of filamentous Basidiomycetes. Mycoses. 1998;415–6:183–9.

    Article  Google Scholar 

  22. Masclaux F, Gueho E, Dehoog GS, Christen R. Phylogenetic relationships of human-pathogenic Cladosporium (Xylohypha) species inferred from partial LS rRNA sequences. J Med Vet Mycol. 1995;335:327–38.

    Article  Google Scholar 

  23. Rehner SA, Samuels GJ. Taxonomy and phylogeny of Gliocladium analyzed from nuclear large subunit ribosomal DNA-sequences. Mycol Res. 1994;98:625–34.

    Article  CAS  Google Scholar 

  24. Vilgalys R, Hester M. Rapid genetic identification and mapping of enzymatically amplified ribosomal DNA from several Cryptococcus species. J Bacteriol. 1990;1728:4238–46.

    Article  Google Scholar 

  25. Agarwala R, Barrett T, Beck J, Benson DA, Bollin C, Bolton E, et al. Database resources of the national center for biotechnology information. Nucleic Acids Res. 2016;44D1:D7–19.

    Google Scholar 

  26. Bokulich NA, Mills DA. Improved selection of internal transcribed spacer-specific primers enables quantitative, ultra-high-throughput profiling of fungal communities. Appl Environ Microbiol. 2013;798:2519–26.

    Article  Google Scholar 

  27. Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009;7523:7537–41.

    Article  Google Scholar 

  28. Koljalg U, Nilsson RH, Abarenkov K, Tedersoo L, Taylor AFS, Bahram M, et al. Towards a unified paradigm for sequence-based identification of fungi. Mol Ecol. 2013;2221:5271–7.

    Article  Google Scholar 

  29. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;2153:403–10.

    Article  Google Scholar 

  30. Bonants P, Edema M, Robert V. Q-bank, a database with information for identification of plant quarantine plant pest and diseases. EPPO Bull. 2013;432:211–5.

    Article  Google Scholar 

  31. van Nieuwenhuijzen EJ, Miadlikowska JM, Houbraken JAMP, Adan OCG, Lutzoni FM, Samson RA. Wood staining fungi revealed taxonomic novelties in Pezizomycotina: new order Superstratomycetales and new species Cyanodermella oleoligni. Stud Mycol. 2016;85:107–24.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Egidi E, de Hoog GS, Isola D, Onofri S, Quaedvlieg W, de Vries M, et al. Phylogeny and taxonomy of meristematic rock-inhabiting black fungi in the Dothideomycetes based on multi-locus phylogenies. Fungal Divers. 2014;651:127–65.

    Article  Google Scholar 

  33. Pangallo D, Buckova M, Krakova L, Puskarova A, Sakova N, Grivalsky T, et al. Biodeterioration of epoxy resin: a microbial survey through culture-independent and culture-dependent approaches. Environ Microbiol. 2015;172:462–79.

    Article  Google Scholar 

  34. Stefani FOP, Bell TH, Marchand C, de la Providencia IE, El Yassimi A, St-Arnaud M, et al. Culture-dependent and-independent methods capture different microbial community fractions in hydrocarbon-contaminated soils. PLoS ONE. 2015;10(6):e0128272.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Karakousis A, Tan L, Ellis D, Alexiou H, Wormald PJ. An assessment of the efficiency of fungal DNA extraction methods for maximizing the detection of medically important fungi using PCR. J Microbiol Methods. 2006;651:38–48.

    Article  Google Scholar 

  36. Fredricks DN, Smith C, Meier A. Comparison of six DNA extraction methods for recovery of fungal DNA as assessed by quantitative PCR. J Clin Microbiol. 2005;4310:5122–8.

    Article  Google Scholar 

  37. Schoch CL, Seifert KA, Huhndorf S, Robert V, Spouge JL, Levesque CA, et al. Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi. Proc Natl Acad Sci USA. 2012;10916:6241–6.

    Article  Google Scholar 

  38. Geiser DM, Klich MA, Frisvad JC, Peterson SW, Varga J, Samson RA. The current status of species recognition and identification in Aspergillus. Stud Mycol. 2007;59:1–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Woudenberg JHC, Groenewald JZ, Binder M, Crous PW. Alternaria redefined. Stud Mycol. 2013;75:171–212.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Nilsson RH, Ryberg M, Kristiansson E, Abarenkov K, Larsson KH, Koljalg U. Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective. PLoS ONE. 2006;1(1):e59.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Gostincar C, Ohm RA, Kogej T, Sonjak S, Turk M, Zajc J, et al. Genome sequencing of four Aureobasidium pullulans varieties: biotechnological potential, stress tolerance, and description of new species. BMC Genom. 2014;15(1):1.

    Article  Google Scholar 

  42. Webb JS, Nixon M, Eastwood IM, Greenhalgh M, Robson GD, Handley PS. Fungal colonization and biodeterioration of plasticized polyvinyl chloride. Appl Environ Microbiol. 2000;668:3194–200.

    Article  Google Scholar 

  43. Prakitchaiwattana CJ, Fleet GH, Heard GM. Application and evaluation of denaturing gradient gel electrophoresis to analyse the yeast ecology of wine grapes. FEMS Yeast Res. 2004;48:865–77.

    Article  Google Scholar 

  44. Vero S, Garmendia G, Gonzalez MB, Garat MF, Wisniewski M. Aureobasidium pullulans as a biocontrol agent of postharvest pathogens of apples in Uruguay. Biocontrol Sci Technol. 2009;1910:1033–49.

    Article  Google Scholar 

  45. Pinto C, Pinho D, Sousa S, Pinheiro M, Egas C, Gomes AC. Unravelling the diversity of grapevine microbiome. PLoS ONE. 2014;9(1):e85622.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Ottosson E, Kubartova A, Edman M, Jonsson M, Lindhe A, Stenlid J, et al. Diverse ecological roles within fungal communities in decomposing logs of Picea abies. FEMS Microbiol Ecol. 2015;91(3):fiv012.

    Article  PubMed  Google Scholar 

  47. Millberg H, Boberg J, Stenlid J. Changes in fungal community of Scots pine (Pinus sylvestris) needles along a latitudinal gradient in Sweden. Fungal Ecol. 2015;17:126–39.

    Article  Google Scholar 

  48. Voriskova J, Baldrian P. Fungal community on decomposing leaf litter undergoes rapid successional changes. ISME J. 2013;73:477–86.

    Article  Google Scholar 

  49. Adams RI, Miletto M, Taylor JW, Bruns TD. The diversity and distribution of fungi on residential surfaces. PLoS ONE. 2013;8(11):e78866.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Fouquier J, Schwartz T, Kelley ST. Rapid assemblage of diverse environmental fungal communities on public restroom floors. Indoor Air. 2016. doi:10.1111/ina.12279.

    PubMed  Google Scholar 

  51. Ghannoum MA, Jurevic RJ, Mukherjee PK, Cui F, Sikaroodi M, Naqvi A, et al. Characterization of the oral fungal microbiome (Mycobiome) in healthy individuals. PLoS Pathog. 2010;6(1):e1000713.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Ding S, Hu H, Gu JD. Fungi colonizing wood sticks of Chinese fir incubated in subtropical urban soil growing with Ficus microcarpa trees. Int J Environ Sci Technol. 2015;1212:3781–90.

    Article  Google Scholar 

  53. Rama T, Norden J, Davey ML, Mathiassen GH, Spatafora JW, Kauserud H. Fungi ahoy! Diversity on marine wooden substrata in the high North. Fungal Ecol. 2014;8:46–58.

    Article  Google Scholar 

  54. Hoppe B, Purahong W, Wubet T, Kahl T, Bauhus J, Arnstadt T, et al. Linking molecular deadwood-inhabiting fungal diversity and community dynamics to ecosystem functions and processes in Central European forests. Fungal Divers. 2016;771:367–79.

    Article  Google Scholar 

  55. Rajala T, Tuomivirta T, Pennanen T, Makipaa R. Habitat models of wood-inhabiting fungi along a decay gradient of Norway spruce logs. Fungal Ecol. 2015;18:48–55.

    Article  Google Scholar 

  56. Yuan ZL, Chen YC, Yang Y. Diverse non-mycorrhizal fungal endophytes inhabiting an epiphytic, medicinal orchid (Dendrobium nobile): estimation and characterization. World J Microbiol Biotechnol. 2009;252:295–303.

    Article  Google Scholar 

  57. Redou V, Navarri M, Meslet-Cladiere L, Barbier G, Burgaud G. Species richness and adaptation of marine fungi from deep-subseafloor sediments. Appl Environ Microbiol. 2015;8110:3571–83.

    Article  Google Scholar 

  58. Langarica-Fuentes A, Fox G, Robson GD. Metabarcoding analysis of home composts reveals distinctive fungal communities with a high number of unassigned sequences. Microbiol SGM. 2015;161:1921–32.

    Article  CAS  Google Scholar 

  59. Zhang T, Wang NF, Zhang YQ, Liu HY, Yu LY. Diversity and distribution of fungal communities in the marine sediments of Kongsfjorden, Svalbard (High Arctic). Sci Rep. 2015;5:14524.

  60. Kogej T, Stein M, Volkmann M, Gorbushina AA, Galinski EA, Gunde-Cimerman N. Osmotic adaptation of the halophilic fungus Hortaea werneckii: role of osmolytes and melanization. Microbiol SGM. 2007;153:4261–73.

    Article  CAS  Google Scholar 

  61. Pal AK, Gajjar DU, Vasavada AR. DOPA and DHN pathway orchestrate melanin synthesis in Aspergillus species. Med Mycol. 2014;521:10–8.

    Google Scholar 

  62. Gniewosz M, Duszkiewicz-Reinhard W. Comparative studies on pullulan synthesis, melanin synthesis and morphology of white mutant Aureobasidium pullulans B-1 and parent strain A: p.-3. Carbohydr Polym. 2008;723:431–8.

    Article  Google Scholar 

  63. Hernandez VA, Evans PD. Technical note: melanization of the wood-staining fungus Aureobasidium pullulans in response to UV radiation. Wood Fiber Sci. 2015;471:120–4.

    Google Scholar 

  64. Satow MM, Attili-Angelis D, de Hoog GS, Angelis DF, Vicente VA. Selective factors involved in oil flotation isolation of black yeasts from the environment. Stud Mycol. 2008;61:157–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Nazzaro Porro MN, Passi S, Caprilli F, Nazzaro P, Morpurgo G. Growth requirements and lipid metabolism of Pityrosporum orbiculare. J Invest Dermatol. 1976;663:178–82.

    Article  Google Scholar 

  66. Velegraki A, Cafarchia C, Gaitanis G, Iatta R, Boekhout T. Malassezia infections in humans and animals: pathophysiology, detection, and treatment. PLoS Pathog. 2015;11(1):e1004523.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Park D. Phylloplane fungi: tolerance of hyphal tips to drying. Trans Br Mycol Soc. 1982;79AUG:174–8.

    Article  Google Scholar 

  68. Segers FJJ, van Laarhoven KA, Huinink HP, Adan OCG, Wosten HAB, Dijksterhuis J. The indoor fungus cladosporium halotolerans survives humidity dynamics markedly better than aspergillus niger and penicillium rubens despite less growth at lowered steady-state water activity. Appl Environ Microbiol. 2016;8217:5089–98.

    Article  Google Scholar 

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Authors’ contributions

PJP, OCGA and RAS are guarantors of this manuscript. EJvN, PJP, OCGA and RAS designed the outline of the study. The culturing and cloning of fungal fragments was done at CBS-KNAW. The Illumina sequencing was carried out at TNO and EJvN, PJP and GR analysed the resulting sequence data. EJvN and JAMP drafted the manuscript with specific contributions from GR, PJP and RAS. All authors read and approved the final manuscript.

Acknowledgements

The authors acknowledge Karl Rumbold (University of the Witwatersrand), Manon Timmermans (Life Without Barriers) and Lone Ross Gobakken (NIBIO, Norwegian Institute of Bioeconomy Research) for the outdoor exposure of wood samples. The authors thank Leo Smit for his technical assistance, Michel de Vries for his assistance with the CBS-database and Jan Dijksterhuis (CBS-KNAW Fungal Biodiversity Centre) for the introduction to the Shannon Diversity Index.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets generated and/or analysed during the current study are available in the European Nucleotide Archive repository (http://www.ebi.ac.uk/ena), or are included in this published article (and its additional files).

Funding

This research is supported by the Dutch Technology Foundation STW within the Netherlands Organisation for Scientific Research (NWO) partly funded by the Ministry of Economic Affairs. Partners of this STW research project are CBS-KNAW Fungal Biodiversity Centre, Eindhoven University of Technology, TNO, Lambert van den Bosch, Stiho, Touchwood and Regge Hout.

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Corresponding author

Correspondence to Elke J. van Nieuwenhuijzen.

Additional files

40694_2017_30_MOESM1_ESM.docx

Additional file 1: Table S1. The total CFU concentration and the Aureobasidium CFU percentage of each wood sample (r. lins. oil = raw linseed oil, st. lins. oil = raw linseed oil, underlined numbers = estimated number, CFU count below 10).

40694_2017_30_MOESM2_ESM.docx

Additional file 2: Table S2. Fungal isolates of each colony type with their culture collection numbers and GenBank accession numbers for the sequenced loci.

40694_2017_30_MOESM3_ESM.docx

Additional file 3: Table S3. ITS specific clones inferred from biofinish DNA, their identification and GenBank accession number.

40694_2017_30_MOESM4_ESM.xlsx

Additional file 4: Table S4. Illumina amplicon sequences identified by a BLAST search against the database of GenBank, Q-bank and CBS (type strains of the CBS Barcoding database were selected from data generated until September 2015). Sequences were identified to genus level when possible and marked as ‘unidentified genus’ when BLAST resulted in hits with an identity below 97%. The number of reads of each unique sequence is listed for each sample.

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van Nieuwenhuijzen, E.J., Houbraken, J.A.M.P., Punt, P.J. et al. The fungal composition of natural biofinishes on oil-treated wood. Fungal Biol Biotechnol 4, 2 (2017). https://doi.org/10.1186/s40694-017-0030-5

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