Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The termite fungal cultivar Termitomyces combines diverse enzymes and oxidative reactions for plant biomass conversion

Felix Schalk, View ORCID ProfileCene Gostinčar, Nina B. Kreuzenbeck, Benjamin H. Conlon, Elisabeth Sommerwerk, Patrick Rabe, Immo Burkhardt, View ORCID ProfileThomas Krüger, Olaf Kniemeyer, View ORCID ProfileAxel A. Brakhage, Nina Gunde-Cimerman, Z. Wilhelm de Beer, Jeroen S. Dickschat, View ORCID ProfileMichael Poulsen, Christine Beemelmanns
doi: https://doi.org/10.1101/2021.01.13.426627
Felix Schalk
1Group of Chemical Biology of Microbe-Host Interactions, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena, Germany, E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Christine.Beemelmanns@hki-jena.de
Cene Gostinčar
2Department of Biology, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
3Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, Qingdao 266555, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cene Gostinčar
Nina B. Kreuzenbeck
1Group of Chemical Biology of Microbe-Host Interactions, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena, Germany, E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Christine.Beemelmanns@hki-jena.de
Benjamin H. Conlon
4Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elisabeth Sommerwerk
1Group of Chemical Biology of Microbe-Host Interactions, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena, Germany, E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Christine.Beemelmanns@hki-jena.de
Patrick Rabe
5Kekulé-Institute of Organic Chemistry and Biochemistry, University of Bonn, Gerhard-Domagk-Straße 1, 53121 Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Immo Burkhardt
5Kekulé-Institute of Organic Chemistry and Biochemistry, University of Bonn, Gerhard-Domagk-Straße 1, 53121 Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas Krüger
6Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Thomas Krüger
Olaf Kniemeyer
6Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Axel A. Brakhage
6Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Axel A. Brakhage
Nina Gunde-Cimerman
2Department of Biology, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Z. Wilhelm de Beer
7Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Hatfield, 0002, Pretoria, South Africa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeroen S. Dickschat
5Kekulé-Institute of Organic Chemistry and Biochemistry, University of Bonn, Gerhard-Domagk-Straße 1, 53121 Bonn, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Poulsen
4Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Michael Poulsen
Christine Beemelmanns
1Group of Chemical Biology of Microbe-Host Interactions, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745 Jena, Germany, E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Christine.Beemelmanns@hki-jena.de Christine.Beemelmanns@hki-jena.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Macrotermitine termites have domesticated fungi in the genus Termitomyces as their primary food source using pre-digested plant biomass. To access the full nutritional value of lignin-enriched plant biomass, the termite-fungus symbiosis requires the depolymerization of this complex phenolic polymer. While most previous work suggests that lignocellulose degradation is accomplished predominantly by the fungal cultivar, our current understanding of the underlying biomolecular mechanisms remains rudimentary. Here, we provide conclusive OMICs and activity-based evidence that Termitomyces partially depolymerizes lignocellulose through the combined actions of high-redox potential oxidizing enzymes (laccases, aryl-alcohol oxidases and a manganese peroxidase), the production of extracellular H2O2 and Fenton-based oxidative degradation, which is catalyzed by a newly described 2-methoxybenzoquinone/hydroquinone redox shuttle system and mediated by secreted chelating dicarboxylic acids. In combination, our approaches reveal a comprehensive depiction of how the efficient biomass degradation mechanism in this ancient insect agricultural symbiosis is accomplished through a combination of white- and brown-rot mechanisms.

Importance Fungus-growing termites have perfected the decomposition of recalcitrant plant biomass to access valuable nutrients by engaging in a tripartite symbiosis with complementary contributions from a fungal mutualist and a co-diversified gut microbiome. This complex symbiotic interplay makes them one of the most successful and important decomposers for carbon cycling in Old World ecosystems. To date, most research has focused on the enzymatic contributions of microbial partners to carbohydrate decomposition. Here we provide genomic, transcriptomic and enzymatic evidence that Termitomyces also employs redox mechanisms, including diverse ligninolytic enzymes and a Fenton-based hydroquinone-catalyzed lignin-degradation mechanism, to break down lignin-rich plant material. Insights into these efficient decomposition mechanisms open new sources of efficient ligninolytic agents applicable for energy generation from renewable sources.

Introduction

Among the different types of nutritional symbiosis, crop agriculture represents one of the most sophisticated systems. Beyond examples from humans, only a few insect lineages maintain and manure external symbiotic partners.1 Fungus-growing termites (Macrotermitinae) underwent a major transition ca. 30 Mya when they started to domesticate the mutualistic fungus Termitomyces (Agaricales, Lyophyllaceae) as their main food source.2,3 Since then, fungus-growing termites have become major biomass decomposers of dead plant material resulting in a substantial ecological footprint in the Old World (sub)tropics.4,5

Termitomyces is manured by termite workers in a cork-like structure termed the “fungus comb”, which is found within in the underground chambers of the termite mound and is comprised of predigested plant material (Figure 1A, B).6 Old termite workers collect and transport the necessary plant material while younger workers macerate and ingest the plant material along with asexual Termitomyces spores and enzymes, which are produced in fungal nodules on the mature parts of the fungal comb.1,2,7 The resulting lignocellulose and spore-enriched feces are then used to craft fresh fungus comb. After spore germination, the fungus matures within 15-20 days and energy-rich fungal nodules are formed to serve as the major food source for younger workers.8 After an average turn-over time of 45-50 days the remains of the comb material serve as the major nutrition of older workers resulting overall in the nearly waste-less decomposition and recycling of plant material.9

Figure 1.
  • Download figure
  • Open in new tab
Figure 1.

A) Schematic representation of fungus comb at different maturation stages. B) Freshly collected mature fungus comb carrying fungal nodules. C) Schematic representation of lignin depolymerization via hydroxylation and oxidative cleavage with subsequent degradation by CAZy enzymes to smaller metabolites. D) Schematic structure of lignin biopolymer, lignin motifs and lignin-derived degradation products.

Although the feeding behavior of termites has been studied in detail for decades,10 the biochemical mechanisms for degrading the foraged plant biomass has remained largely unresolved and a topic of intensive discussion.1,11 Plant biomass consists mostly of lignocellulose, a complex matrix consisting of cell wall polysaccharides: cellulose (40-50%), hemicellulose (25-30%), and the structurally complex and inhomogeneous phenolic polymer lignin (15-20%).12 The depolymerization and degradation of lignin provides an enormous energetic burden to any microorganism due to its inhomogeneous nature, and the strong covalent carbon-carbon and carbon-oxygen linkages between hydroxycinnamoyl alcohol derived monomers that are covalently cross-linked to plant polysaccharides (Figure 1C, D).13,14 However, once oxidative mechanisms have broken up the dense lignin structure, degrading enzymes are able to diffuse into the material and access valuable embedded biphenylic, phenolic and carbohydrate reservoirs.15,16,17 Although the degradation process appears to be a necessary endeavor to manure the complex fungus-termite-bacteria symbiosis, the fate of lignin within termite fungus combs still remains unclear.

A recent study on fungus comb pretreatment in Odontotermes formosanus by Li et al. indicated that lignin is partly cleaved during the first gut passage.18 Additionally, it was hypothesized that Termitomyces might have lost key delignification potential throughout its evolutionary history with the termites. However, previous and more recent transcriptomic and analytically-guided studies in other Macrotermitinae species by Poulsen and coworkers showed that fresh comb from Odontotermes spp. and Macrotermes natalensis is lignin rich,7 suggesting that the role of gut passage in lignin cleavage may differ between termite species.9 Based on fungal RNAseq analysis and enzymatic assays, the study reasoned that maturation of the fungus comb causes the decomposition of the lignocellulose-rich biomass through the actions of fungal and/or bacterial enzymes.

These partially contradictory results led us to investigate whether Termitomyces has the capacity to depolymerize or even degrade lignin-rich biomass. Hence, we commenced our analysis by comparative genome analysis of nine Termitomyces species and assessment of their capacity to produce ligninolytic enzymes (e.g., laccase (Lac), lignin peroxidase (LP), manganese peroxidase (MnP), and/or versatile peroxidase (VP)) and enzymes supporting degradative pathways (e.g., aryl-alcohol oxidase and quinone reductases).19,20 Here, we show that Termitomyces has the capacity to produce a broad diversity of laccases and a MnP similar to other basidiomycetes, but lacks other necessary class II peroxidases (e.g., LPs and VPs) required for the complete degradation of non-phenolic lignin as is known from other basidiomycete white-rot fungi.13,14,16 These findings were supported by analysis of gene expression levels in RNAseq datasets of fungus combs at different maturation stages. Additional in silico and biochemical studies led us to the conjecture that Termitomyces might employ hydroquinone-mediated Fenton chemistry (Fe2+ + H2O2 + H+ → Fe3+ + •OH + H2O) using a herein newly described 2-methoxy-1,4-dihydroxybenzene (2-MH2Q, 19) based electron shuttle system to complement enzymatic lignin degradation pathways. We further deduced that the presence of small dicarboxylic acids produced by Termitomyces not only allows the fungus to solubilize necessary metal ions, but also mediates Fenton-based redox chemistry, making the system one of the most successful farming insect symbioses.

Results

Genomic and transcriptomic analysis of lignocellulolytic capacity

First, we subjected two Termitomyces species, excavated in South Africa in 2011 and 2015, to whole genome sequencing using Illumina sequencing technology (LGC Genomics (Berlin, Germany)) and RNA sequencing using the BGISeq-500 platformg (BGI, Hong Kong). Annotated genomes of both species were obtained using Augustus 3.3.3 after RNAseq data was mapped to the genomes and used for algorithm training. The resulting draft genome of Termitomyces sp. T153 (Macrotermes natalensis) had an estimated size of 84.1 Mb (scaffold N50 = 23.88 kb) with more than 13,000 genes (Accs. Nr. JACKQL000000000). Similarly, the draft genome of Termitomyces sp. T112 (Macrotermes natalensis) had an estimated size of 79.8 Mb (scaffold N50 = 33.34 kb) and also >13,000 genes (Accs. Nr. JACKQM000000000). For further analysis, we also re-annotated seven Termitomyces genomes deposited at GenBank, including our previously reported Termitomyces sp. J123 (alias P5) from Macrotermes natalensis,3 using the same settings in Augustus 3.3.3 (for details, see doi:10.5281/zenodo.4431413: Table S2 and S3). To gain insights into the functional capacity for biomass degradation, we first identified CAZyme families within each genome using a local installation of the dbCAN2 server.21,22,23 As depicted in Figure 2, comparison of all nine Termitomyces genomes revealed comparable numbers of polysaccharide-degrading enzymes, such as exo-cellobiohydrolases, endoglucanases assigned to different glycoside hydrolase families (GH) and lytic polysaccharide monooxygenase (LPMOs), with no particular enrichment or reduction of CAZy families compared to basidiomycete reference genomes (for details, see doi:10.5281/zenodo.4431413: Figure S1-S3).24 We also searched Termitomyces genomes for the presence/absence of gene sequences encoding for highly oxidizing proteins that could contribute to the depolymerization and catabolic degradation of lignin,18 and contained on average 16 gene sequences encoding for laccases (AA1, EC 1.10.3.2),25,26,27,28 oxidases that use diphenols and related substances as electron donors and oxygen as the acceptor, thereby creating reactive C- and O-based radical species in the process. In addition, we identified a putative manganese peroxidase (MnP, AA2, EC 1.11.1.13), which generates redox-active Mn3+ species, and a subset of alcohol oxidases and dehydrogenases (AA3 and AA5) that catalyze the oxidation of (aryl) alcohols or carbohydrates with the concomitant formation of hydroquinones and/or H2O2 that could be used by other peroxidases.29,30 We also identified iron reductase domains (AA8) and putative benzoquinone reductases (AA6) that are key to maintain efficient Fenton-chemistry-based redox cycles by reductive Fe2+ sequestration and regeneration of organic benzoquinone-based redox shuttles. However, all investigated Termitomyces genomes lacked signs of the class II peroxidases (e.g., LPs and VPs) that are normally found in white-rot fungi and necessary for the enzymatic mineralization of lignin (for details, see doi:10.5281/zenodo.4431413: Table S4-S12).31

Figure 2.
  • Download figure
  • Open in new tab
Figure 2.

A) Heatmap of the numbers of hits for representatives of different CAZy families in the predicted proteomes of Termitomyces spp. (T112, T153, J132, JCM 13351, MG145, MG16, MG15, MG148, MG13) and other selected basidiomycete fungi (Laccaria bicolor (lbc), Moniliophthora perniciosa (mpr), Moniliophthora roreri (mrr), Agaricus bisporus var. Burnettii (abp), Agaricus bisporus var. Bisporus (abv), Coprinopsis cinerea (cci), Schizophyllum commune (scm)). Vertical axis shows clustering of enzymes based on expression levels.

We subsequently analyzed the expression levels of candidate genes related to lignin depolymerization in RNAseq data obtained from three regions in the fungus comb (Figure 3):7 fresh comb, within which most plant-biomass decomposition is likely to occur; old comb where decomposition might still occur but to a lesser extent; and nodules, which feed young workers and serve as fungal spore and enzyme reservoirs (for details, see doi:10.5281/zenodo.4431413: Table S25). As depicted in Figure 3, we found transcription levels of genes encoding oxidative enzymes (e.g., Lac, MnP, AA3 and AA5) and enzymes that protect against reactive intermediates (e.g., benzoquinone reductase, super oxide dismutase, glutathione peroxidase, and peroxiredoxin) across all three datasets.

Figure 3.
  • Download figure
  • Open in new tab
Figure 3.

Heatmap of redox enzyme transcription levels based on RNAseq data of fresh comb, old comb and fungal nodules from Macrotermes colony Mn156.7 Transcript abundances are depicted as log10 gene expression values and color schemes were generated by “viridis” (Version 0.5.1).32,33

This genetic and transcriptomic survey revealed that Termitomyces has the genomic capacity to produce lignocellulolytic enzymes similar to other basidiomycetous fungi and may even be able to induce and catalyze Fenton chemistry,34 but lacks LiP, VP and other generic peroxidases that are needed to degrade the more recalcitrant non-phenolic components of lignin.7

Fenton Chemistry of Termitomyces

Fenton chemistry involves the reaction between Fe2+ and H2O2 yielding Fe3+ and highly reactive hydroxyl radical (•OH), a powerful oxidant (E0 = 2.8 versus normal hydrogen electrode) that is able to unselectively oxidize hydrocarbons and non-phenolic aromatic units within lignocellulose-rich material. Brown-rot fungi are known to make use of Fenton chemistry to depolymerize lignocellulose biomass35 and modulate the redox potential of Fe2+/3+ species by secretion of dicarboxylic acids that act as chelators to form diffusible Fe-complexes and as proton donors for catalytic degradation processes.36 Additionally, redox-active fungal quinones (Q) and hydroxyquinones (H2Q), such as 2,5-dimethoxy-1,4-benzoquinone (2,5-DMQ), 2,5-dimethoxy-1,4-hydroquinone (2,5-DMH2Q), and its regioisomer 4,5-dimethoxy-1,2-benzendiol (4,5-DMH2Q)), have been discussed to serve as redox shuttles (3H2Q + 2O2 → 3Q + 2H2O + 2HO•) in Fenton-chemistry of rotting fungi (e.g. S. lacrymans, the Gloeophyllales and the Polyporales)37,38,39 as they have the ability to switch between oxidation states via one-electron transfer reactions that allows for the concomitant formation of Fe2+ from Fe3+ and hydroxyl radicals (HO•) from O2 (Figure 5, 6).

Thus, we evaluated if Termitomyces employs any of those measures to enable lignin depolymerization by using Termitomyces sp. T153 and P5 as model strains. First, we employed a standardized colourimetric ferrozine assay to determine if extracellular Fe3+ is reduced to Fe+2 within the surrounding mycelium; a prerequisite to initiate Fenton chemistry.40,41 As depicted in Figure 4A, topical application of a ferrozine solution caused a clear color change within minutes, which was indicative for the immediate reduction of Fe3+ to Fe+2. Next, we determined the pH value within the fungal mycelium as enzyme activities, redox potential of H2O2 and metal complexes are strongly pH-dependent.34 Here, we found that Termitomyces acidifies the surrounding medium to as low as pH 5 (Figure 4D), which lies within the range of optimal enzyme activities of many lignin-degrading enzymes (pH 4.5-5.0).14,20 As the Fenton reaction also requires H2O2, we tested if Termitomyces generates sufficient extracellular H2O2 to initiate the reaction. Based on a H2O2-dependent colorimetric assay we found that Termitomyces generates approximately 4-6 μg extracellular H2O2 per gram fungal mycelium during growth on solid support (mycelium age: 7-21 days, for details, see doi:10.5281/zenodo.4431413: Table S17, S18).

Figure 4.
  • Download figure
  • Open in new tab
Figure 4.

A) Ferrozine solution added to a Termitomyces sp. T153 culture grown on PDA (18 d) and incubated for 5 min and B) 30 min; C) ferrozine solution on PDA plate (negative control); D) Termitomyces sp. T153 grown on PDA containing D) bromocresol green as pH indicator (day 28) and E) without indicator; F) PDA plate containing bromocresol green.

Figure 5.
  • Download figure
  • Open in new tab
Figure 5.

Structures of redox active compounds discussed in this work. A) Hydroxyquinones (H2Q), B) corresponding quinones (Q) and C) methoxylated derivatives of H2Q. Compounds identified from Termitomyces are highlighted in a redox box, compounds identified from other rotting fungi are marked with a blue box, derivatives isolated from Termitomyces and of plant origin are highlighted in a purple box and commercial derivatives for comparison are highlighted in a black box.

Figure 6.
  • Download figure
  • Open in new tab
Figure 6.

A) Mechanistic depiction of the 2-MH2Q initiated Fenton-reaction via the formation of a radical semiquinone species and oxidation to 2-MQ; B) quantification of Fe3+ reduction by H2Q using a colorimetric Ferrozine-based assay (NH4OAc buffer, pH = 4).

In a next step, we evaluated if Termitomyces produces redox-active redox-active H2Q/Q using gas chromatography coupled with mass spectrometry (GC-MS). Although the formation of previously reported 2,5-DM(H2)Q was not observed, we were intrigued to detect 2-methoxy-1,4-benzoquinone (2-MQ), its reduced H2Q named 2-methoxy-1,4-dihydroxybenzene (2-MH2Q) and the fully methylated derivative 1,2,4-trimethoxybenzene (5), as well as other structurally related (di)methoxylated hydroxybenzenes (e.g. 1, 3, 12) (Figure 5). We also verified the identity of the newly detected quinone derivatives 2-MQ and 2-MH2Q by synthesis and comparison of GC-MS retention times (for experimental details, see doi:10.5281/zenodo.4431413: Figure S21, S22, Table S14, S15, S22).

We then evaluated the ability of H2Qs to reduce Fe3+ to Fe2+ using the established Ferrozine-based Fe3+-reduction assay.42 Overall, 2,6-DMH2Q (18), a regioisomer of 2,5-DMH2Q was the most reactive derivative that was able to reduce Fe3+ to Fe2+ within seconds, and was therefore used as a positive control in further experiments (Figure 6). In comparison, 2-MH2Q (19) showed a slightly reduced activity, which is likely a reflection of the electronic effect caused by the lack of one additional electron-donating -OCH3 group. We also tested the reducing ability of other (methoxylated) hydroxybenzenes, all of which showed a reduced reactivity compared 18 and 19. Subsequently, we expanded our studies to combinations of redox active derivatives and were able to observe in most cases the superposition of redox activities (for experimental details, see doi:10.5281/zenodo.4431413: Figure S9, Table S19)

As Fenton chemistry produces highly reactive hydroxyl radical (•OH) we then confirmed the presence of these short-lived radicals in our H2Q-mediated Fenton reactions using a fluorometric assay based on the reaction with terephthalic acid (TPA). Similar to literature reports for 2,6-DMH2Q (18),36,39 the newly identified and structurally related H2Q 19 catalyzed the formation of •OH in the presence of H2O2 and Fe3+ within seconds. In contrast, derivatives such as 1,2-dihydroxybenzene (10) and syringic acid (13) caused formation of hydroxyl radicals with lower initial reactivity but over a period of more than 90 min (for details, see doi:10.5281/zenodo.4431413: Figure S6). Having verified that Termitomyces produces reactive H2Qs that are able to induce the formation of Fenton reagents (Fe2+, H2O2 and •OH), we then elaborated on the influence of fungal-derived dicarboxylic acids (oxalic acid, tartaric acid, malic acid, fumaric acid and succinic acid) 43,44 on the Fenton reaction (Figure 7). While low concentrations of oxalic acid (0.1 mM) influenced the reducing ability of H2Qs only mildly, increasing concentrations started to abolish their reducing capability in a concentration dependent manner with only the most reactive 2,6-DMH2Q (18) able to reduce Fe-oxalate complexes in the presence of less than 5.0 mM oxalic acid (for details, see doi:10.5281/zenodo.4431413: Figure S11-S13).45 At 10 mM oxalic acid a significant amount of autoxidation-related Fe3+-reduction was observed. A similar trend was observed for tartaric acid as a chelating agent, albeit with a stronger autoxidation effect.46 In contrast, malic, fumaric and succinic acid only moderately altered the redox potential and showed minor tendencies towards autoxidation. The overall ability of H2Q to reduce dicarboxylic acid complexes of Fe3+ decreased in the following order: oxalic acid > tartaric acid > malic acid >> fumaric acid ≥ succinic acid (for details, see doi:10.5281/zenodo.4431413: Figure S14-S16).

Figure 7.
  • Download figure
  • Open in new tab
Figure 7.

A) Structures of metal-chelating dicarboxylic acids; B) quantification of Fe3+ reduction by H2Q using a colorimetric Ferrozine-based assay in in the presence of 1 mM oxalic acid and 1 mM malic acid.

While laboratory culture conditions generally supply sufficient Fe-concentrations for growth, we questioned whether or not the natural fungal comb environment provides the necessary metal ions for Fenton chemistry.47 To answer this question, we analyzed the element composition of fungus comb, gut fluids of termite workers and soil samples derived from within and outside termite colonies from different locations using atomic emission spectrometry (ICPAES).48 All tested samples contained Al, Fe, and Ti as some of the most abundant main elements, in addition to significant amounts of Mn. However, elements important for growth (C, H, P, K, Ca, Mg) were low in all soil samples, with a particularly strong depletion of phosphorus, but potassium was enriched compared to comb and gut samples (for details, see doi:10.5281/zenodo.4431413: Table S13, Figure S23-30, Table S23, S24). Sequential ion extraction of soil samples was performed to analyze the soluble metal ion content, and only low concentrations of most metal ions were detectable.49,50 Although these findings indicate that fungus comb and gut environment accommodate larger amounts of insoluble Fe/Al-oxide-containing clay minerals, the nano- and microscopic surface areas could provide the necessary catalytic centers for Fenton-like redox chemistry.51

Enzyme activity tests catalyzing degradation of lignin model compounds

We then questioned if enzymatic degradation of lignin or lignin-type model substances by Termitomyces is measurable using colorimetric assays or MS-based analytical tools.52 For a first test, we supplemented culture medium of Termitomyces sp. T153 with the pigment-based model substance Azure B, previously used to measure redox-activity of LPs due to its stability towards oxidative activity of MnPs. Monitoring the decolourization of Azure B over time revealed that Termitomyces started to degrade Azure B seven days after inoculation; an effect which became more pronounced with increasing biomass and age of the fungus culture. To evaluate if the degrading activity of secreted enzymes and/or H2Q-mediated Fenton-based chemistry was responsible for the degradation of Azure B, we tested both effectors separately and in combination. While quantifying the enzymatic effects caused technical challenges due to intrinsic light absorption of enzyme concentrates, H2Q-mediated Fenton chemistry clearly induced the degradation of Azure B within five to ten minutes compared to the control (Fenton reagents without H2Qs) (for details, see doi:10.5281/zenodo.4431413: Figure S19,S20). 53 We then evaluated whether or not laccase activity was detectable within the secretome using a syringaldazine-based assay and compared the activity to the reactivity of a commercial laccase from Trametes versicolor,54 but only residual laccase activity was detectable in enriched enzyme extracts derived from different Termitomyces culture compared to the positive control and thus was unlikely accountable for the degradation of Azure B. Lastly, we evaluated if Termitomyces exhibits MnP enzymatic activity, which is marked by the oxidation of Mn2+ to Mn3+ and the release of the highly reactive oxidant as a carboxylic acid chelate using a previously reported leukoberbelin blue test.55 As shown in Figure 8, leukoberbelin-containing Termitomyces cultures and cell-free culture supernatant resulted in the formation of the blue leukoberbelin complex within minutes, which indicated the formation of Mn+3/+4 species. When Termitomyces was grown on PDA plates containing both, elevated Mn2+ concentrations (200 - 500 μM) and indicator dye, the formation of blue-colored leukoberbelin-Mn3+/4+ complexes was detectable within a few days and longer incubation times resulted in macroscopic-sized MnOx precipitates forming around fungal hyphae within 10-17 days (Figure 4C). We further confirmed the gene expression encoding for the putative MnP by reverse transcription polymerase chain reaction (RT-PCR) (for details, see doi:10.5281/zenodo.4431413: Figure S17,S18).

Figure 8.
  • Download figure
  • Open in new tab
Figure 8.

A) PDB containing Leukoberbelin blue (left to right: culture of Termitomyces sp. 153, cell-free supernatant, and PDB broth); B) Termitomyces sp. T153 cultivated on PDA containing 500 μM MnCl2 after 28 days and C) microscopic image of fungal mycelium after 24 d showing brown MnO2 deposits.

Proteomic analysis

Building on our enzymatic studies and to link the observed activities with their putative enzymatic origin, we conducted a liquid-chromatography (LC)-MS/MS based proteomic analysis of secreted enzymes of Termitomyces culture supernatants, which were prepared in two different buffer systems (NaOAc, pH 4.5/KH2PO4, pH 6.5). Overall, a total of (255/303) secreted proteins were detectable, which were mostly assigned to fungal carbohydrate metabolism such as glucosidases, glucanases or chitinases (for details, see doi:10.5281/zenodo.4431413: Table S27-30). Interestingly, a potential lignin degrading aromatic peroxygenase (8th/13th) and one MnP (13th/11th) ranked amongst the top 15th most abundant protein sequences, while two other yet unassigned peroxidases were also detectable (31st, 141th/17th, 142nd) albeit with lower abundance. In total five laccases were also detectable in minor abundances (starting from 76th/99th).

Discussion

In the two major fungus-growing termite genera Macrotermes and Odontotermes, the decomposition of plant biomass by the fungal cultivar Termitomyces is based on the intricate interactions between the pre-digestive gut passage and the external fungus comb bioreactor. Although a series of studies have elaborated on the functional roles of Termitomyces in plant biomass degradation,1,2,3 experimental insights into the biochemical mechanisms necessary for plant biomass degradation have remained sparse.

Which ligninolytic enzymes are produced by Termitomyces?

Our OMICs-based analysis clearly shows that Termitomyces has the capacity to produce a specific set of extracellular lignocellulose‐degrading enzymes, such as laccases (Lac), (aryl)-alcohol oxidases (AA3), and a manganese peroxidase (MnP, AA),56 all of which generate diffusible extracellular oxidants (superoxide O2−, hydroxyl radicals OH•, H2O2, redox-active Mn3+/4+ species or phenoxy-radicals) that oxidize the aromatic polymeric 3D structure of lignin (Figure 1D and 9). It is particularly intriguing that Termitomyces encodes on average for 16 different laccases that are differentially transcribed and might differ in their reactivity and substrate spectrum. And although laccases are considered not to be essential for lignin degradation, their presence likely assists in partial oxidation of phenolic and non-phenolic aromatic moieties that facilitate further fragmentation and depolymerization (Figure 9). Here, it is also worth highlighting that encoded and in culture secreted (aryl)-alcohol oxidases (AA3) are able to efficiently oxidize and cleave β-ether units present within lignin substructures via single electron transfer reactions. Our study also provides conclusive genomic and biochemical evidence that Termitomyces secretes a highly active manganese peroxidase MnP, an enzyme that oxidizes Mn2+ to the more reactive Mn3+/4+ and is known to be essential for extracellular degradation mechanisms. While none of these enzymes alone are capable of degrading lignin, their combined enzymatic action should allow for the partial depolymerization of lignin that is necessary for other enzymes to overcome the physical barrier of this complex phenolic polymer to initiate further degradation.

Figure 9.
  • Download figure
  • Open in new tab
Figure 9.

Lignin modifications and oxidation pathways by Termitomyces. A) Schematic depiction of lignin oxidation via Lac activity in Termitomyces and degradation by LIP and VP typically found in white-rot fungi (not found in Termitomyces, bold box). B) Oxidation and oxidative demethylation of lignin substructures by 2-MH2Q-catalyzed Fenton chemistry via the formation of short-lived hydroxyl radicals and regeneration of H2Q by (intracellular) benzoquinone reductases. C) Formation of H2O2 by (aryl)-alcohol oxidases (AAO) and glyoxal oxidases (GLX). D) Phenoxy radical formation catalyzed by the action of MnP ad oxidative C-C cleavage of lignin substructures by radicals and/or enzymatic processes.

Does Fenton-chemistry play a role?

Following up on the idea that Termitomyces utilises Fenton-chemistry for biomass degradation, we evaluated the presence and absence of metabolic and enzymatic factors necessary to drive the radical process and identified collective evidence that Termitomyces employs Fenton-chemistry to degrade lignin-rich biomass by secretion of high levels of (extracellular) H2O2 and the production of H2Qs that reduce Fe3+ to Fe2+ necessary for Fenton chemistry. For the first time, we also document that the fungal metabolite 2-MH2Q (19) acts as a redox-shuttle for Fenton chemistry and induces the formation of Fe2+ similar to 4,5-DMH2Q and 2,5-DMH2Q.20,34 Although 2-MH2Q (19) lacks one −OCH3 compared to 2,5- or 2,6-DMH2Q, only a moderate decrease in activity was observed that likely correlates only with a minor shift in the reduction potential. Considering that Fenton chemistry produces several strong oxidants, we evaluated the influence of different dicarboxylic acids commonly secreted by fungal species, and monitored their influence on the H2Q-based reduction of Fe3+-complexes. Thus, it is reasonable to hypothesize that Termitomyces is capable of actively altering the redox properties of metal complexes within the surrounding fungal hyphae to protect itself against high oxidative stress. Genomic and transcriptomic evidence further suggests that Termitomyces produces two benzoquinone reductases that may reduce MQ to MH2Q and thereby close the H2Q/Q-based redox shuttle cycle.

Finally, our studies provide evidence that the natural environment contains sufficient amounts of iron and manganese to pursue Fenton chemistry,51 which are comparable to previous soil remediation studies.47,49 However, most metals are likely present as insoluble Fe/Al/Ti/Mn-oxides which let us to hypothesize that either microscopic Fe-rich minerals might serve as catalytic surface for the degradation of organic material,51 and/or the presence of chelating agents and reducing conditions might allow for the local formation Fe2+/3+.

Conclusions

Collectively, our genomic, transcriptomic and proteomic studies document that Termitomyces harbours an enormous enzymatic repertoire to cope with the challenging task of depolymerizing the lignocellulose polymer to access cellulolytic components of the provided plant biomass, but lacks the genetic basis for the production of highly oxidizing versatile peroxidases that are known to be capable of oxidizing recalcitrant lignin parts. Furthermore, our chemical studies support the notion that the combined action of enzymatic degradation and Fenton chemistry are the key fungal contributions to the process of plant biomass decomposition, and Fenton reactions may, in part, complement the missing enzymatic capabilities. Whether or not symbiotic and lignocellulolytic bacteria57 present within the comb might also contribute and complement the fungal lignin-degradation capabilities is topic of current investigations and will further elaborate on the question why the Termitomyces-termite symbiosis has become the most successful path for the termite cultivar.

Material and Methods

Genome sequencing and processing

DNA was extracted from laboratory-grown heterocaryotic Termitomyces strains T112 and T153 and Genome sequences were produced at LGC Genomics (Berlin, Germany) using Illumina MiSeq V3 platform with 300bp paired-end reads and approx. 12 million read pairs per sequencing. All library groups were demultiplexed using the Illumina bcl2fastq 2.17.1.14 software (folder ‘RAW’, ‘Group’ subfolders). Up to two mismatches or Ns were allowed in the barcode read when the barcode distances between all libraries on the lane allowed for it. Sequencing adapters were clipped from all raw reads and reads with final length < 20 bases were discarded. Afterwards reads were quality trimmed by removal of reads containing more than one N, deleting reads with sequencing errors, trimming of reads at 3’-end to get a minimum average Phred quality score of 10 over a window of ten bases and discarding reads with final length of less than 20 bp. From the final set of reads, FastQC reports were created for all FASTQ files. Prior to annotation, the genomes were soft masked with RepeatMasker 4.0.9.58 RNAseq data was mapped to the genomes with STAR 2.7.3a 59 and used to train the Augustus gene predictor with Braker 2.1.5.60 Finally, the genomes T112 and T153 were annotated with Augustus 3.3.3.61 Protein and mRNA hints were used for the annotation (for details, see doi:10.5281/zenodo.4431413).

RNA sequencing

RNA was obtained from mycelium of Termitomyces strains T153 and T112 cultivated on different growth media for 10 days at room temperature. Mycelium was harvested by scraping it from agar plates with a scalpel, freezing it in liquid nitrogen and storing it at −80 °C until RNA extraction. RNA extracts underwent 100bp paired-end BGISeq-500 sequencing with BGI (Hong Kong) (for details, see doi:10.5281/zenodo.4431413).

RNAseq data acquisition and processing

RNAseq data for fresh comb (SRR5944783), old comb (SRR5944781) and nodules (SRR5944782) of Termitomyces strains from Macrotermes colony Mn156 were downloaded from the European Nucleotide Archive.62 The raw RNAseq data were mapped to the annotated genes of T153 using HiSat2 with spiced alignments disabled (Version 4.8.2).63 Transcript abundance was then estimated using HTSeq-count (Version 0.11.2).64 Count data from HTSeq were imported into R (R Core Team, 2018) using the “DESeq2” package (Version 1.22.2).65 Genes with low transcript abundance (<10) were filtered out and the remaining genes log10 transformed.66 A heatmap for the identified redox enzymes was generated using the “pheatmap” package (Version 1.0.12)67 in R (R Core Team, 2018)68 with color schemes generated by “viridis” (Version 0.5.1).69 (for details, see doi:10.5281/zenodo.4431413).

CAZY Analysis

Identification of CAZymes in the predicted proteomes of Termitomyces and other Basidiomycetes strains was performed using a local installation of the dbCAN2 server70 and all three included tools (HMMER, DIAMOND, and Hotpep searches against the databases included in dbCAN2. For a reliable analysis, we kept only matches that were independently identified by at least two of three annotation strategies and only genes and transcripts classified by their substrate target and thus putative enzymatic functions. EC numbers were assigned using peptide-based functional annotation (www.cazy.org) (for details, see doi:10.5281/zenodo.4431413).3,7

GC-MS analysis

The fungal isolates Termitomyces sp. P5 and T153 were cultivated on solid media containing different carbon sources. GC-MS analyses of biosamples were carried out with an Agilent (Santa Clara, USA) HP 7890B gas chromatograph fitted with a HP5-MS silica capillary column (30 m, 0.25 mm i. d., 0.50 μm film) connected to a HP 5977A inert mass detector (for details, see (for details, see doi:10.5281/zenodo.4431413).

Activity studies on Termitomyces sp. T153

Detection and quantification of H2O2 in culture medium of Termitomyces sp. T153 was performed using a fluorimetric hydrogen peroxide assay kit (Sigma-Aldrich) (for details, see doi:10.5281/zenodo.4431413).

Detection of hydroxyl radicals

Concentrations of hydroxyl radicals were measured using a fluorometric assay based on the reaction with terephthalic acid (TPA) yielding the fluorescent oxidation product hydroxy-terephthalic acid (hTPA) (for details, see doi:10.5281/zenodo.4431413).

Ferrozin assay

Fe2+-concentrations were evaluated using a standardized Ferrozin-assay (for details, see doi:10.5281/zenodo.4431413).

Proteomic Analysis

Termitomyces sp. T153 was cultured in Potato-Dextrose broth (25 mL) for 12 days (20 °C, 150 rpm) and secreted enzymes collected and digested according to standardized protocol (for details, see doi:10.5281/zenodo.4431413). LC-MS/MS analysis was performed on an Ultimate 3000 nano RSLC system connected to a QExactive Plus mass spectrometer (both Thermo Fisher Scientific, Waltham, MA, USA). Tandem mass spectra were searched against the UniProt database of Termitomyces sp. J132 (https://www.uniprot.org/proteomes/UP000053712;2019/11/04) using Proteome Discoverer (PD) 2.4 (Thermo) and the algorithms of Mascot 2.4 Sequest HT (version of PD2.2), and MS Amanda 2.0 (for details, see doi:10.5281/zenodo.4431413).

Protein analysis and activity tests

Details regarding laccase and MnP activity tests are deposited under: doi:10.5281/zenodo.4431413).

ASSOCIATED CONTENT

Supporting Information

Supporting Information can be accessed free of charge at Zenodo: https://doi.org/10.5281/zenodo.4431413 and contain information regarding culture conditions, isolation procedures, structure elucidation, activity assays, expression level data, CAZY counts, and proteomic hit list.

AUTHOR INFORMATION

Author Contributions

The manuscript was written with contributions from all authors. All authors have approved the final version of the manuscript.

Notes

Conflict of Interest

There are no conflicts of interest to declare.

ACKNOWLEDGMENT

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Project-ID 239748522 – SFB 1127 (project A6) to CB and CRC/TR 124 FungiNet, project number 210879364 (project A1 and Z2) to AB and OK. The Danish Council for Independent Research (DFF - 7014-00178) and a European Research Council Consolidator Grant (771349) to MP. Help with microscopy pictures by David Zopf is greatly acknowledged (SFB 1127/2 ChemBioSys – project number 239748522 (project Z). CG and NGC acknowledge the financial support from the state budget of the Slovenian Research Agency (Research Project J4-2549, Research Programs P1-0198 and P1-0170, Infrastructural Centre Mycosmo).

References

  1. 1.↵
    Li H, Young SE, Poulsen M, Currie CR. Symbiont-Mediated Digestion of Plant Biomass in Fungus-Farming Insects. Annu. Rev. Entomol, 2020, accepted. https://doi.org/10.1146/annurev-ento-040920-061140
  2. 2.↵
    Wisselink M, Aanen DK, van ’t Padje A. The Longevity of Colonies of Fungus-Growing Termites and the Stability of the Symbiosis. Insects, 2020, 11, 527. doi:10.3390/insects11080527
    OpenUrlCrossRef
  3. 3.↵
    Poulsen M, Hu H, Li C, Chen Z, Xu L, Otani S, Nygaard S, et al. Complementary symbiont contributions to plant decomposition in a fungus-farming termite. Proc. Natl. Acad. Sci., 2014, 111, 14500. doi:10.1073/pnas.1319718111
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    Jones JA. Termites, soil fertility and carbon cycling in dry tropical Africa: a hypothesis. J. Trop. Ecol. 1990, 6, 291–305. doi:10.1017/S0266467400004533.
    OpenUrlCrossRef
  5. 5.↵
    Kirk PM, Cannon PF, David JC, Stalpers JA. 2001. Ainsworth and Bigby’s dictionary of the fungi. CAB International, Wallingford, Oxfordshire, United Kingdom
  6. 6.↵
    Rohrmann GF. The origin, structure, and nutritional importance of the comb in two species of Macrotermitinae. Pedobiologia, 1978, 18, 89–98.
    OpenUrl
  7. 7.↵
    da Costa RR, Hu H, Pilgaard B, Vreeburg SME, Schückel J, Pedersen KSK, Kračun SK, Busk PK, Harholt J, Sapountzis P, Lange L, Aanen DK, Poulsen M. Enzyme Activities at Different Stages of Plant Biomass Decomposition in Three Species of Fungus-Growing Termites. Appl. Environ. Microbiol., 2018, 84, e01815–01817. doi:10.1128/AEM.01815-17
    OpenUrlCrossRef
  8. 8.↵
    Hu H, da Costa RR, Pilgaard B, Schiøtt M, Lange L, Poulsen M. Fungiculture in Termites Is Associated with a Mycolytic Gut Bacterial Community. mSphere, 2019, 4, e00165–00119. doi:10.1128/mSphere.00165-19
    OpenUrlCrossRef
  9. 9.↵
    Hyodo F, Tayasu I, Inoue T, Azuma JI, Kudo T, Abe T. Differential role of symbiotic fungi in lignin degradation and food provision for fungus-growing termites (Macrotermitinae: Isoptera). Funct. Ecol., 2003, 17, 186–193. doi:10.1046/j.1365-2435.2003.00718.x
    OpenUrlCrossRef
  10. 10.↵
    Geib SM, Filley TR, Hatcher PG, Hoover K, Carlson JE, Jimenez-Gasco Mdel M, Nakagawa-Izumi A, Sleighter RL, Tien M. Lignin degradation in wood-feeding insects. Proc. Natl. Acad. Sci., 2008, 105, 12932–7.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    Miyauchi S, Kiss E, Kuo A, Drula E, Kohler A, Sánchez-García M, et al. Large-scale genome sequencing of mycorrhizal fungi provides insights into the early evolution of symbiotic traits. Nature Commun., 2020, 11, 5125. doi:10.1038/s41467-020-18795-w
    OpenUrlCrossRef
  12. 12.↵
    Vanholme R, Demedts B, Morreel K, Ralph J, Boerjan W. Lignin Biosynthesis and Structure. Plant Physiol., 2010, 153, 895. doi:10.1104/pp.110.155119
    OpenUrlFREE Full Text
  13. 13.↵
    Dashtban M, Schraft H, Syed TA, Qin W. Fungal biodegradation and enzymatic modification of lignin. Int. J. Biochem. Mol. Biol. 2010, 1, 36–50.
    OpenUrlPubMed
  14. 14.↵
    Bugg TDH, Ahmad M, Hardiman EM, Rahmanpour R. Pathways for degradation of lignin in bacteria and fungi. Nat. Prod. Rep., 2011, 28, 1883–1896. doi:10.1039/C1NP00042J
    OpenUrlCrossRefPubMed
  15. 15.↵
    Eastwood DC, Floudas D, Binder M, Majcherczyk A, Schneider P, Aerts A, et al. The Plant Cell Wall– Decomposing Machinery Underlies the Functional Diversity of Forest Fungi. Science, 2011, 333, 762. doi:10.1126/science.1205411
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    Floudas D, Binder M, Riley R, Barry K, Blanchette RA, Henrissat B, et al. The Paleozoic origin of enzymatic lignin decomposition reconstructed from 31 fungal genomes. Science. 2012; 336:1715–9
    OpenUrlAbstract/FREE Full Text
  17. 16.↵
    Gaskell J, Blanchette RA, Stewart PE, BonDurant SS, Adams M, Sabat G, Kersten P, Cullen D. Transcriptome and Secretome Analyses of the Wood Decay Fungus Wolfiporia cocos Support Alternative Mechanisms of Lignocellulose Conversion. Appl. Environ. Microbiol. 2016, 82, 3979. doi:10.1128/AEM.00639-16
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    Li H, Yelle DJ, Li C, Yang M, Ke J, Zhang R, Liu Y, Zhu N, Liang S, Mo X, Ralph J, Currie CR, Mo J. Lignocellulose pretreatment in a fungus-cultivating termite. Proc. Natl. Acad. Sci., 2017, 114, 4709. doi:10.1073/pnas.1618360114
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    Ayuso-Fernandes I, Ruiz Duenas FJ, Martinez AT, Evolutionary convergence in lignin-degrading enzymes, Proc. Natl. Acad. Sci., 2018, doi: 10.1073/pnas.1802555115
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    Schmidt-Dannert C. Biocatalytic portfolio of Basidiomycota. Curr. Opin. Chem. Biol. 2016, 31, 40–49. doi:10.1016/j.cbpa.2016.01.002
    OpenUrlCrossRef
  21. 21.↵
    Lombard V, Golaconda Ramulu H, Drula E, Coutinho PM, Henrissat B. 2014. The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic Acids Res., 2013, 42, D490–495. doi:10.1093/nar/gkt1178.
    OpenUrlCrossRefPubMedWeb of Science
  22. 22.↵
    Zhang H, Yohe T, Huang L, Entwistle S, Wu P, Yang Z, Busk PK, Xu Y, Yin Y. dbCAN2: a meta server for automated carbohydrate-active enzyme annotation, Nucleic Acids Res., 2018, 46, W95–W101, doi:10.1093/nar/gky418
    OpenUrlCrossRefPubMed
  23. 23.↵
    Busk PK, Lange L. Function-based classification of carbohydrateactive enzymes by recognition of short, conserved peptide motifs. Appl. Environ. Microbiol. 2013, 79:3380–3391. doi:10.1128/AEM.03803-12.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    Kameshwar AKS, Qin W, Recent Developments in Using Advanced Sequencing Technologies for the Genomic Studies of Lignin and Cellulose Degrading Microorganisms Int. J. Biol. Sci., 2016, 12, 156–171 doi.org/10.7150/ijbs.13537
    OpenUrl
  25. 25.↵
    Taprab Y, Johjima T, Maeda Y, Moriya S, Trakulnaleamsai S, Noparatnaraporn N, Ohkuma M, Kudo T. Symbiotic Fungi Produce Laccases Potentially Involved in Phenol Degradation in Fungus Combs of Fungus-Growing Termites in Thailand. Appl. Environ. Microbiol., 2005, 71, 7696. doi:10.1128/AEM.71.12.7696-7704.2005
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    Johjima T, Ohkuma M, Kudo T. Isolation and cDNA cloning of novel hydrogen peroxide-dependent phenol oxidase from the basidiomycete Termitomyces albuminosus. Appl. Microbiol. Biotechnol. 2003, 61, 220–225. doi:10.1007/s00253-003-1236-4
    OpenUrlCrossRefPubMed
  27. 27.↵
    Bose S, Mazumder S, Mukherjee M. Laccase production by the white-rot fungus Termitomyces clypeatus. J. Basic Microbiol. 2007, 47, 127–131. doi:10.1002/jobm.200610206
    OpenUrlCrossRefPubMed
  28. 28.↵
    Thurston CF. The structure and function of fungal laccases. Microbiology, 1994, 140, 19–26. doi:10.1099/13500872-140-1-19
    OpenUrlCrossRefWeb of Science
  29. 29.↵
    Kersten P, Cullen D. Copper radical oxidases and related extracellular oxidoreductases of wood-decay Agaricomycetes. Fungal Genet. Biol., 2014, 72, 124–130. doi:10.1016/j.fgb.2014.05.011
    OpenUrlCrossRefPubMed
  30. 30.↵
    Sützl L, Laurent CVFP, Abrera AT, Schütz G, Ludwig R, Haltrich D. Multiplicity of enzymatic functions in the CAZy AA3 family. Appl. Microbiol. Biotechnol., 2018, 102, 2477–2492. doi:10.1007/s00253-018-8784-0
    OpenUrlCrossRef
  31. 31.↵
    Welinder KG. Superfamily of plant, fungal and bacterial peroxidases. Curr. Opin. Struck. Biol., 1992, 2, 388–393. doi:10.1016/0959-440x(92)90230-5
    OpenUrlCrossRef
  32. 32.↵
    Huber W, Von Heydebreck A, Sueltmann H, Poustka A, Vingron M. Variance stabilization applied to microarray data calibration and to the quantification of differential expression. Bioinformatics, 2002, 18, 96–104. doi:10.1093/bioinformatics/18.suppl_1.s96
    OpenUrlCrossRef
  33. 33.↵
    Simon Garnier (2018). viridis: Default color maps from ‘matplotlib’. R package version 0.5.1. https://CRAN.R-project.org/package=viridis
  34. 34.↵
    Jensen KA, Houtman CJ, Ryan ZC, Hammel KE. Pathways for Extracellular Fenton Chemistry in the Brown Rot Basidiomycete Gloeophyllum trabeum. Appl. Environ. Microbiol., 2001, 67, 2705. doi:10.1128/AEM.67.6.2705-2711.2001
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    Halliwell B, Gutteridge JMC. Free radicals in biology and medicine. Oxford University Press, USA, 2015.
  36. 36.↵
    Arantes V, Milagres AMF. The synergistic action of ligninolytic enzymes (MnP and Laccase) and Fe3+-reducing activity from white-rot fungi for degradation of Azure B. Enzyme Microb. Technol., 2007, 42, 17–22. doi:10.1016/j.enzmictec.2007.07.017
    OpenUrlCrossRef
  37. 37.↵
    Suzuki MR, Hunt CG., Houtman CJ, Dalebroux ZD, Hammel KE. Fungal hydroquinones contribute to brown rot of wood. Environ. Microbiol., 2006, 8, 2214–2223. doi:10.1111/j.1462-2920.2006.01160.x
    OpenUrlCrossRefPubMed
  38. 38.↵
    Korripally P, Timokhin VI, Houtman CJ, Mozuch MD, Hammel KE. Evidence from Serpula lacrymans that 2,5-Dimethoxyhydroquinone Is a Lignocellulolytic Agent of Divergent Brown Rot Basidiomycetes. Appl. Environ. Microbiol., 2013, 79, 2377. doi:10.1128/AEM.03880-12
    OpenUrlAbstract/FREE Full Text
  39. 39.↵
    Shah F, Schwenk D, Nicolás C, Persson P, Hoffmeister D,Tunlid A. Involutin Is an Fe3+-Reductant Secreted by the Ectomycorrhizal Fungus Paxillus involutus during Fenton-Based Decomposition of Organic Matter. Appl. Environ. Microbiol., 2015, 81, 8427. doi:10.1128/AEM.02312-15.
    OpenUrlAbstract/FREE Full Text
  40. 40.↵
    Jeitner TM. Optimized ferrozine-based assay for dissolved iron. Anal. Biochem., 2014, 454, 36–37. doi:10.1016/j.ab.2014.02.026
    OpenUrlCrossRefPubMed
  41. 41.↵
    Verschoor MJ, Molot LA, A comparison of three colorimetric methods of ferrous and total reactive iron measurement in freshwaters. Limnol. Oceanogr. Methods, 2013, 11, 113–125. doi:10.4319/lom.2013.11.113
    OpenUrlCrossRef
  42. 42.↵
    Haddou M, Benoit-Marquié F, Maurette M-T, Oliveros E. Oxidative Degradation of 2,4-Dihydroxybenzoic Acid by the Fenton and Photo-Fenton Processes: Kinetics, Mechanisms, and Evidence for the Substitution of H2O2 by O2. Helv. Chim. Acta, 2010, 93, 1067–1080. doi:10.1002/hlca.200900380
    OpenUrlCrossRef
  43. 43.↵
    Otani S, Challinor VL, Kreuzenbeck NB, Kildgaard S, Krath Christensen S, Larsen LLM, Aanen DK, Rasmussen SA, Beemelmanns C, Poulsen, M. Disease-free monoculture farming by fungus-growing termites. Sci. Rep., 2019, 9, 8819. doi:10.1038/s41598-019-45364-z
    OpenUrlCrossRef
  44. 44.↵
    Utset B, Garcia J, Casado J, Domènech X, Peral J. Replacement of H2O2 by O2 in Fenton and photo-Fenton reactions. Chemosphere, 2000, 41, 1187–1192. doi:10.1016/S0045-6535(00)00011-4
    OpenUrlCrossRef
  45. 45.↵
    Varela E, Tien M. Effect of pH and Oxalate on Hydroquinone-Derived Hydroxyl Radical Formation during Brown Rot Wood Degradation. Appl. Environ. Microbiol., 2013, 69, 6025. doi:10.1128/AEM.69.10.6025-6031.2003
    OpenUrlCrossRef
  46. 46.↵
    Fenton, Henry John Horstman. “LXXIII.—Oxidation of tartaric acid in presence of iron.” J. Chem. Soc., Transactions 65, 1894, 899–910. doi:10.1039/ct8946500899
    OpenUrlCrossRef
  47. 47.↵
    Arshad MA, Schnitzer M. The chemistry of a termite fungus comb. Plant and Soil, 1987, 98, 247–256. doi:10.1007/BF02374828
    OpenUrlCrossRefWeb of Science
  48. 48.↵
    Deke AL, Adugna WT, Fite AT. Soil Physic-chemical Properties in Termite Mounds and Adjacent Control Soil in Miyo and Yabello Districts of Borana Zone, Southern Ethiopia, American Journal of Agriculture and Forestry, 2016, 4, 4, 69–74. doi:10.11648/j.ajaf.20160404.11
    OpenUrlCrossRef
  49. 49.↵
    Jouquet P, Tessier D, Lepage M. The soil structural stability of termite nests: role of clays in Macrotermes bellicosus (Isoptera, Macrotermitinae) mound soils. Eur. J. Soil Biol., 2004, 40: 23–29. doi:10.1016/j.ejsobi.2004.01.006
    OpenUrlCrossRef
  50. 50.↵
    Lyngsie G, Krumina L, Tunlid A, Persson P. Generation of hydroxyl radicals from reactions between a dimethoxyhydroquinone and iron oxide nanoparticles. Sci. Rep., 2018, 8, 10834–10834. doi:10.1038/s41598-018-29075-5
    OpenUrlCrossRef
  51. 51.↵
    Krumina L, Lyngsie G, Tunlid A, Persson, P. Oxidation of a Dimethoxyhydroquinone by Ferrihydrite and Goethite Nanoparticles: Iron Reduction versus Surface Catalysis. Environ. Sci. Technol., 2017, 51, 9053–9061. doi:10.1021/acs.est.7b02292
    OpenUrlCrossRef
  52. 52.↵
    Owen BC, Haupert LJ, Jarrell TM, Marcum CL, Parsell TH, Abu-Omar MM, Bozell JJ, Black SK, Kenttämaa HI. High-Performance Liquid Chromatography/High-Resolution Multiple Stage Tandem Mass Spectrometry Using Negative-Ion-Mode Hydroxide-Doped Electrospray Ionization for the Characterization of Lignin Degradation Products. Anal. Chem., 2012, 84, 6000–6007. doi:10.1021/ac300762y
    OpenUrlCrossRefPubMed
  53. 53.↵
    Peng S, Zhang W, He J, Yang X, Wang D, Zeng G. Enhancement of Fenton oxidation for removing organic matter from hypersaline solution by accelerating ferric system with hydroxylamine hydrochloride and benzoquinone. J. Environ. Sci. (China), 2016, 41, 16–23. doi:10.1016/j.jes.2015.05.006
    OpenUrlCrossRef
  54. 54.↵
    Krumbein WE, Altmann HJ. A new method for the detection and enumeration of manganese oxidizing and reducing microorganisms. Helgoländer wissenschaftliche Meeresuntersuchungen, 1973, 25, 347–356. doi:10.1007/BF01611203
    OpenUrlCrossRef
  55. 55.↵
    Rashid GMM, Zhang X, Wilkinson RC, Fülöp V, Cottyn B, Baumberger S, Bugg TDH. Sphingobacterium sp. T2 manganese superoxide dismutase catalyzes the oxidative demethylation of polymeric lignin via generation of hydroxyl radical. ACS Chem. Biol., 2018, 13, 2920–2929. doi: 10.1021/acschembio.8b00557
    OpenUrlCrossRef
  56. 56.↵
    Hansel CM, Zeiner CA, Santelli CM, Webb SM. Mn(II) oxidation by an ascomycete fungus is linked to superoxide production during asexual reproduction. Proc. Natl. Acad. Sci., 2012, 109, 12621. doi:10.1073/pnas.1203885109
    OpenUrlAbstract/FREE Full Text
  57. 57.↵
    Brown ME, Chang MCY. Exploring bacterial lignin degradation. Curr. Opin. Chem. Biol., 2014, 19, 1–7. doi:10.1016/j.cbpa.2013.11.015
    OpenUrlCrossRefPubMed
  58. 58.↵
    Smit, A.; Hubley, R.; Grenn, P. RepeatMasker Open-4.0 Available online: http://www.repeatmasker.org.
  59. 59.↵
    Dobin, A.; Davis, C.A.; Schlesinger, F.; Drenkow, J.; Zaleski, C.; Jha, S.; Batut, P.; Chaisson, M.; Gingeras, T.R. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 2013, 29, 15–21. doi:10.1093/bioinformatics/bts635.
    OpenUrlCrossRefPubMedWeb of Science
  60. 60.↵
    Hoff, K.J.; Lomsadze, A.; Borodovsky, M.; Stanke, M. Whole-genome annotation with BRAKER. In Methods in Molecular Biology; 2019; pp. 65–95. doi:10.1007/978-1-4939-9173-0_5
    OpenUrlCrossRef
  61. 61.↵
    Stanke, M.; Morgenstern, B. AUGUSTUS: a web server for gene prediction in eukaryotes that allows user-defined constraints. Nucleic Acids Res. 2005, 33, 465–467. doi:10.1093/nar/gki458.
    OpenUrlCrossRef
  62. 62.↵
    da Costa, R.R.; Hu, H.; Pilgaard, B.; Vreeburg, S.M.; Schückel, J.; Pedersen, K.S.; Kračun, S.K.; Busk, P.K.; Harholt, J.; Sapountzis, P.; Lange, L.; Aanen, D.K.; Poulsen, M. Enzyme activities at different stages of plant biomass decomposition in three species of fungus-growing termites. Appl. Environ. Microbiol., 2018, 84:e01815–17. doi:10.1128/AEM.01815-17.
    OpenUrlCrossRef
  63. 63.↵
    Kim, D.; Langmead, B; Salzberg, S.L.. HISAT: a fast spliced aligner with low memory requirements. Nature Methods, 2015, 12, 357. doi:10.1038/nmeth.3317
    OpenUrlCrossRefPubMed
  64. 64.↵
    Anders, S.; Pyl, P.T; Huber, W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics, 2015, 31, 166–169. doi:10.1093/bioinformatics/btu638
    OpenUrlCrossRefPubMedWeb of Science
  65. 65.↵
    Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol., 2014, 15, 550. doi:10.1186/s13059-014-0550-8
    OpenUrlCrossRefPubMed
  66. 66.↵
    Huber, W.; Von Heydebreck, A.; Sueltmann, H.; Poustka, A.; Vingron, M. Variance stabilization applied to microarray data calibration and to the quantification of differential expression. Bioinformatics, 2002, 18, 96–104. doi:10.1093/bioinformatics/18.suppl_1.s96
    OpenUrlCrossRef
  67. 67.↵
    Raivo Kolde, 2019. pheatmap: Pretty Heatmaps. R package version 1.0.12. https://CRAN.R-project.org/package=pheatmap
  68. 68.↵
    R Core Team, 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
  69. 69.↵
    Simon Garnier, 2018. viridis: Default color maps from ‘matplotlib’. R package version 0.5.1. https://CRAN.R-project.org/package=viridis
  70. 70.↵
    Zhang, H.; Yohe, T.; Huang, L.; Entwistle, S.; Wu, P.; Yang, Z.; Busk, P.L.; Xu, Y.; Yin, Y. dbCAN2: a meta server for automated carbohydrate-active enzyme annotation, Nucleic Acids Res., 2018, 46, 95–101. doi:10.1093/nar/gky418
    OpenUrlCrossRef
Back to top
PreviousNext
Posted January 15, 2021.
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.

Enter multiple addresses on separate lines or separate them with commas.
The termite fungal cultivar Termitomyces combines diverse enzymes and oxidative reactions for plant biomass conversion
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The termite fungal cultivar Termitomyces combines diverse enzymes and oxidative reactions for plant biomass conversion
Felix Schalk, Cene Gostinčar, Nina B. Kreuzenbeck, Benjamin H. Conlon, Elisabeth Sommerwerk, Patrick Rabe, Immo Burkhardt, Thomas Krüger, Olaf Kniemeyer, Axel A. Brakhage, Nina Gunde-Cimerman, Z. Wilhelm de Beer, Jeroen S. Dickschat, Michael Poulsen, Christine Beemelmanns
bioRxiv 2021.01.13.426627; doi: https://doi.org/10.1101/2021.01.13.426627
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
The termite fungal cultivar Termitomyces combines diverse enzymes and oxidative reactions for plant biomass conversion
Felix Schalk, Cene Gostinčar, Nina B. Kreuzenbeck, Benjamin H. Conlon, Elisabeth Sommerwerk, Patrick Rabe, Immo Burkhardt, Thomas Krüger, Olaf Kniemeyer, Axel A. Brakhage, Nina Gunde-Cimerman, Z. Wilhelm de Beer, Jeroen S. Dickschat, Michael Poulsen, Christine Beemelmanns
bioRxiv 2021.01.13.426627; doi: https://doi.org/10.1101/2021.01.13.426627

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4237)
  • Biochemistry (9152)
  • Bioengineering (6789)
  • Bioinformatics (24037)
  • Biophysics (12142)
  • Cancer Biology (9550)
  • Cell Biology (13808)
  • Clinical Trials (138)
  • Developmental Biology (7649)
  • Ecology (11719)
  • Epidemiology (2066)
  • Evolutionary Biology (15522)
  • Genetics (10654)
  • Genomics (14337)
  • Immunology (9495)
  • Microbiology (22872)
  • Molecular Biology (9113)
  • Neuroscience (49070)
  • Paleontology (355)
  • Pathology (1485)
  • Pharmacology and Toxicology (2572)
  • Physiology (3851)
  • Plant Biology (8341)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2299)
  • Systems Biology (6199)
  • Zoology (1302)