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G3: Genes | Genomes | Genetics logoLink to G3: Genes | Genomes | Genetics
. 2021 Sep 29;11(12):jkab342. doi: 10.1093/g3journal/jkab342

Isolation, characterization, and genome assembly of Barnettozyma botsteinii sp. nov. and novel strains of Kurtzmaniella quercitrusa isolated from the intestinal tract of the termite Macrotermes bellicosus

Gerard Arrey 1,#, Guangshuo Li 2,#, Robert Murphy 3, Leandro Guimaraes 4, Sefa Alizadeh 5, Michael Poulsen 6, Birgitte Regenberg 7,
Editor: C Boone
PMCID: PMC8664483  PMID: 34586397

Abstract

Bioconversion of hemicelluloses into simpler sugars leads to the production of a significant amount of pentose sugars, such as d-xylose. However, efficient utilization of pentoses by conventional yeast production strains remains challenging. Wild yeast strains can provide new industrially relevant characteristics and efficiently utilize pentose sugars. To explore this strategy, we isolated gut-residing yeasts from the termite Macrotermes bellicosus collected in Comoé National Park, Côte d’Ivoire. The yeasts were classified through their Internal Transcribed Spacer/Large Subunit sequence, and their genomes were sequenced and annotated. We identified a novel yeast species, which we name Barnettozyma botsteinii sp. nov. 1118T (MycoBank: 833563, CBS 16679T and IBT 710) and two new strains of Kurtzmaniella quercitrusa: var. comoensis (CBS 16678, IBT 709) and var. filamentosus (CBS 16680, IBT 711). The two K. quercitrusa strains grow 15% faster on synthetic glucose medium than Saccharomyces cerevisiae CEN.PKT in acidic conditions (pH = 3.2) and both strains grow on d-xylose as the sole carbon source at a rate of 0.35 h−1. At neutral pH, the yeast form of K. quercitrusa var. filamentosus, but not var. comoensis, switched to filamentous growth in a carbon source-dependent manner. Their genomes are 11.0–13.2 Mb in size and contain between 4888 and 5475 predicted genes. Together with closely related species, we did not find any relationship between gene content and ability to grow on xylose. Besides its metabolism, K. quercitrusa var. filamentosus has a large potential as a production organism, because of its capacity to grow at low pH and to undergo a dimorphic shift.

Keywords: Barnettozyma botsteinii, d-xylose, insect-associated yeasts, Kurtzmaniella quercitrusa, new yeast species

Introduction

The biotechnology industry has historically relied on yeast species to carry out fermentation processes (Demain 2000). A major challenge today is the conversion of raw plant biomass directly into organic compounds of added value, such as organic acids or biogas (Qin et al. 2017; Martínez-Gutiérrez 2018; Lee et al. 2019). Lignocellulose material is mainly composed of cellulose (30–50%), hemicellulose (20–30%), and lignin (15–25%) (Kricka et al. 2014). To break down these complex polysaccharides, filamentous fungi, such as Trichoderma reesi, Aspergillus niger and Aspergillus oryzae, and their secreted enzymatic cocktails have been used with success (Mäkelä et al. 2014; Lange 2017). Because these fungi do not efficiently ferment pentose sugars such as d-xylose and l-arabinose produced during depolymerization of hemicelluloses, yeast species or genetically engineered Saccharomyces cerevisiae strains have been suggested for downstream processes (Bettiga et al. 2009). However, co-fermentation of hexoses and pentoses is still a major challenge during the efficient conversion of lignocellulosic plant biomass, mainly due to difficulties in integrating a new catabolic pathway within an existing metabolic network (Young et al. 2010). There is therefore a need to identify and optimize yeasts that can efficiently ferment both pentoses and hexoses. One strategy is to isolate novel wild yeast strains that can metabolize these sugars, which can either serve as a production organism on their own or as a genetic resource for metabolic pathways that can be engineered into industrial strains (Steensels et al. 2014).

The unicellular yeasts are commonly found in soil, plants, and flowers, and within the microbiome of insects (bees, beetles, termites, and ants), where they establish a variety of relationships, ranging from obligate to facultative mutualisms (Ganter 2006; Greig and Leu 2009; Kurtzman et al. 2011c; Buzzini et al. 2017). Described yeast species are found both in the Basidiomycota and Ascomycota phyla and are thought to represent only 1% of the expected yeast diversity worldwide (Robert 2006). In addition, yeast species from tropical rainforest, desert, or tundra ecosystems are underrepresented among characterized species (Kurtzman et al. 2015; Groenewald et al. 2017) and, therefore, serve as a reservoir for novel species with new characteristics. One example is the gut-residing yeasts from the genus of Candida, Pichia, Sporothrix, and Debratomyces, which have been isolated from a variety of termite species (Schäfer 1996; Stefanini 2018). Here, we explored yeasts within Macrotermes bellicosus termite guts to find novel yeast strains attractive from a biotechnological perspective and to shed light on insect–yeast relationships. M. bellicosus is a fungus-growing termite species (sub-family Macrotermitinae) that has an obligate symbiosis with the basidiomycete fungus Termitomyces (Basidiomycota: Lyophyllaceae) maintained on plant material harvested by the termites from outside the nest (Rouland-Lefèvre 2000). During a first passage through the termite gut, this plant biomass is mixed with asexual fungal spores and the resulting feces is used to build a so-called fungus comb (Leuthold et al. 1989). The maturation of the comb allows the fungus to grow and the plant material to be degraded. Termites will ingest the mature comb and during a second gut passage obtain nutrition (Poulsen et al. 2014; da Costa et al. 2019). The combined enzymatic activities from the termite, the gut microbiome, and the fungus account for the degradation of up to 90% of all dead wood in Kenya (Buxton 1981). Altogether, their foraging and digestive capabilities substantially contribute to carbon cycling in these ecosystems (Sugimoto et al. 2000) converting wood, leaves, and roots (Buxton 1981; Collins 1981; Smith et al. 2019).

In this study, we present and characterize two novel strains and one new species of yeast isolated from the gut of M. bellicosus. The two novel strains belong to the species Kurtzmaniella quercitrusa, phylum Ascomycota, and they were thus named K. quercitrusa var. comoensis (strain number in this work 1112) and K. quercitrusa var. filamentosus (strain number in this work 1120). We also identified a previously unknown species from the Ascomycota, which we name Barnettozyma botsteinii sp. nov. 1118T (strain number in this work 1118). All three strains assimilate pentose sugars, which make them potentially suitable for biotechnological applications and interesting for further genomic and metabolic studies. Their degradation of plant-derived polymers suggests a potential role in assisting termite and Termitomyces metabolism and supports their potential for biotechnological production.

Methods

Sample collection

We collected M. bellicosus minor workers from the inside of wild nests in Comoé National Park, Côte d’Ivoire during the month of November 2018. Specifically, the termite nests were located in the proximity of the Comoé National Park Research Station (8°46′11″N, 3°47′21″W), in the southwest end of the park next to the Comoé River. The gut of small workers (25 termites per nest) was dissected in situ and divided into midgut, hindgut, and foregut (Figure 1) (Bos et al. 2020). Five to ten replicates were pooled together to increase the starting material and manual tissue dissociation was performed with a pestle in sterile 1× phosphate-buffered saline (PBS) supplemented with Tween 80 (5 mg/ml). The resulting lysates were diluted (1/100 and 1/1000) and spread on potato dextrose agar plates. The medium was prepared by diluting 39 g/l of PDA (Sigma Aldrich, 70139) in water, autoclaved, and supplemented with 0.1 g/l of chloramphenicol, 0.05 g/l of streptomycin sulfate and 0.035 g/l of ampicillin before pouring it into plates. Plates were then incubated at 30°C until growth was observed. To screen for yeast species, single colonies were first streak out and subsequently incubated with YPD medium supplemented with 6% ethanol at room temperature until growth was observed. Isolates with a yeast-like morphology under the microscope were then subjected to genomic DNA extraction and rDNA sequencing.

Figure 1.

Figure 1

Origin and identification of yeast isolates. Small workers termites were collected in Comoé National Park, in the north east of Côte d’Ivoire (highlighted area in the map) from four Macrotermes bellicosus termite colonies (IC0021, IC0027, IC0031, and IC0034) (see Methods). Guts were dissected into foregut, midgut, and hindgut and yeast species were identified by comparing their ITS rDNA sequences to strains in the NCBI GenBank repository. According to their classification and origin, we grouped the isolates and assigned an internal ID. GenBank sequence IDs denoted with * were generated in this study. Otherwise, sequences from the reported isolates were found to be identical to the GenBank IDs provided. Map image modified from © OpenStreetMap contributors.

Internal Transcribed Spacer and D1/D2 sequencing and phylogeny

For genomic DNA (gDNA) extraction, a standardized protocol for yeasts was applied to all the isolates. Briefly, yeast cell wall was broken using glass beads and vortexing. Buffers P1, P2, and N3 (Qiagen, Cat. No.: 19051, 19052, and 19064) were used to isolate the DNA fraction, which was further precipitated by the addition of isopropanol. Finally, after an ethanol wash, pellets were resuspended in TE buffer (10 mM Tris-HCl, pH = 8, 1 mM EDTA) and DNA concentration was assessed by Nanodrop. Primers ITS4 (5′-TCCTCCGCTTATTGATATGC) and ITS1 (5′-CTTGGTCATTTAGAGGAAGTAA) (Kuiper-Goodman and Scott 1989) were used to amplify Internal Transcribed Spacer (ITS) regions while primers NL1 (5′-GCATATCAATAAGCGGAGGAAAAG) and NL4 (5′-GGTCCGTGTTTCAAGACGG) were used to amplify the Large Subunit of the nuclear ribosomal RNA (LSU rRNA) gene region (Kurtzman and Robnett 1997). Both PCR products were purified, Sanger sequenced and results aligned to NCBI database using BLASTn (Altschul et al. 1990). Nucleotide sequences for a set of the most closely yeast species were retrieved from GenBank (Supplementary Table S1). Alignment was performed with Mafft v.7.471 (http://mafft.cbrc.jp/alignment/software/) and a maximum-likelihood (ML) phylogeny based on ITS and LSU was constructed in MEGA v. X (Kumar et al. 2018). Branch support was obtained from bootstrap analysis with 1000 repetitions.

Genome sequencing and analyses

We sequenced and assembled the genomes of isolates 1118, 1112, and 1120 in the following steps. Code used is provided in Supplementary File S1.

DNA extraction, sequencing, and assembly

Whole-genome sequencing of isolate 1118, 1112, and 1120 was done by first extracting DNA using a scaled-up CTAB extraction (Poulsen et al. 2014). Whole-genome sequencing was performed using a combination of 100/150 bp paired-end shotgun (BGIseq/DNBseq) and long-read (PacBio sequel) sequencing by BGI. The resulting sequences were checked for quality using FastQC v0.11.9 (Andrews et al. 2012). Genomes were assembled using three different approaches and the best result was chosen for subsequent analyses. First, short and long reads were assembled together and used to generate scaffolds using SPAdes 3.14.1 (Nurk et al. 2013). Second, long reads were assembled into scaffolds with Canu 2.0 (Koren et al. 2017) and then polished by the short reads using NextPolish 1.3.1 (Hu et al. 2020). Finally, short reads were assembled into scaffolds alone, also using SPAdes 3.14.1 (Nurk et al. 2013). Contigs that were shorter than 500 bp were discarded in the final assemblies, and assembly quality was assessed by quantifying genome completeness based on the expected gene content of the Benchmarking Universal Single-Copy Orthologs (BUSCO), version 4.4.1, against the database for fungal genomes (Seppey et al. 2019).

Genome annotation

Genomes were annotated using MAKER v3.01.03 (Holt and Yandell 2011). Two ab initio gene predictors were used with the MAKER pipeline: SNAP v2013-11-29 (Leskovec and Sosič 2016) and AUGUSTUS v3.3.3 (Stanke et al. 2004), each of which was trained for individual genomes. The training of both SNAP and AUGUSTUS requires pre-existing gene models as training data. Therefore, an initial MAKER analysis was carried out where gene annotations were generated directly from homology evidence without using the ab initio gene predictors. The resulting gene annotations supported by homology evidence were then used to train SNAP and AUGUSTUS. Once both ab initio gene predictors were trained, they were used together with homology evidence in a full MAKER analysis. Homology evidence was only used to inform gene predictions. Resulting gene models supported by homology evidence were used to re-train SNAP and AUGUSTUS. A second-round analysis was conducted using the newly trained SNAP and AUGUSTUS parameters, and once again the resulting gene models with homology supports were used to re-train SNAP and AUGUSTUS. Finally, a third round of MAKER analysis was performed using the new SNAP and AUGUSTUS parameters. All resulting gene models are reported, and these comprise the final set of annotated genes.

Functional gene annotation was performed using InterProScan version 5.48-83.0 (Jones et al. 2014) with annotation of gene ontology (GO) terms (Ashburner et al. 2000), KEGG pathways (Kanehisa et al. 2021), and Pfam 33 (Mistry et al. 2021). The predicted proteins sequences were blasted against NCBI-NR (O’Leary et al. 2016) and Swiss-Prot databases (Bateman 2019) with an E-value cutoff of 1e-5. Noncoding RNA (ncRNA) genes were identified by BAsic Rapid Ribosomal RNA Predictor v0.9, Barrnap (Seemann 2013) and tRNA genes were predicted using the tRNAScan-SE v2.0.5 (Lowe and Chan 2016) algorithm with default parameters. Repeat sequences were identified and classified using RepeatMasker v4.1.0 (Smit et al. 2019). The criterion used for LTR family classification was that the 5′LTR sequences should share at least 80% identity over at least 80% of their length for the same family.

Multi-locus-sequence-typing analysis

We performed multi-locus-sequence-typing (MLST) using a set of Universal Single-Copy Orthologous genes for all genomes that were identified with BUSCO v4 (Seppey et al. 2019) with default settings and using the fungi_odb10.2019-11-20 dataset. We collated 344 (of 758 potential) genes present in all 48 genomes and generated multi-fasta files of the orthologous genes (Supplementary Table S2). These multi-fasta files were aligned with Clustal Omega v1.2.4 (Sievers et al. 2011). Phylogenies were generated using RAxML-NG v0.9.9 (Kozlov et al. 2019), employing the –all mode, GTR+G model, and a seed of 2. Branch support based on bootstrapping and transfer distance were obtained, before generating a randomly rooted consensus tree using ASTRAL-Pro v1.12 (Zhang et al. 2020).

Yeast media and growth conditions

Strains were grown and kept on YPD medium (10 g/l of yeast extract, 20 g/l of bacto-peptone, and 20 g/l of glucose) at 30°C. To study growth dynamics and carbon source assimilation, strains were grown and kept on minimal medium (1.6 g/l of yeast nitrogen base without amino acids, 5 g/l of ammonium sulfate with a pH of 6, supplemented with 1% glucose or 1% d-xylose). To check d-xylose assimilation in different concentrations and aeration conditions, single colonies from minimal glucose agar plates were used to inoculate glass-test tubes (max. vol. 35 ml) at an OD600 = 0.15, containing minimal medium with 2% or 10% d-xylose at different volumes: 3 ml (high aeration), 7.5 ml (low aeration) or 20 ml (microaeration). The tubes were then kept at 30°C with shaking (150 rpm) for 14 days. To calculate the growth rate in d-xylose and d-glucose medium, starter cultures were prepared by growing single colonies from glucose or xylose minimal medium agar plates into corresponding liquid medium buffered to a pH = 3.2 or pH = 6 overnight at 30°C. The next day, the overnight cultures were used to inoculate 50 ml medium to an OD600   0.1 in 250 ml baffled Erlenmeyer flasks containing the same buffered medium. For both carbon sources, the medium was buffered to a pH = 3.2 with 0.1 M final concentration of phosphoric buffer (1M KH2PO4 adjusted to pH = 3.2 with phosphoric acid) or to a pH = 6 with 0.1 M final concentration of potassium phosphate buffer (pH = 6). Cultures were incubated at 30°C and 150 rpm. To calculate each µ, OD600 measurements from two different single colonies were used. Each individual OD600 measurement was obtained by the average of triplicates. As previously described, colonization patterns were made on semi-solid YPD 0.3% agar plates and cultures were grown for 14 days at room temperature (Kurtzman et al. 1991).

Carbon assimilation

Carbon-source assimilation was assessed using microplates (Kurtzman et al. 2011c) using Phenotypic Microarray plates (Biolog, PM1 # 12111 and PM2 # 12112). Briefly, the plates were inoculated with strains 1112, 1118, and 1120 in buffer PM containing Dye mix E to facilitate and improve detection, incubated at 30°C for 144 h and the absorbance measured at 550 nm, as described by the manufacturer. Values at +144 h were used to assess growth on each of the carbon sources. For each time point, background absorbance was subtracted and the fold change (FC) over negative control (no carbon source) was calculated. Signals were assigned to a strong growth (FC >3 at 144 h, +++), intermediate growth (FC >2 and ≤3 at 144 h, ++), weak growth (FC >1 and ≤2), and no growth (FC ≤1). Strains were seeded in duplicate plates in two independent experiments. Mean of the FC was calculated.

Microscopy

Yeast cells for microscopy were grown overnight in YPD medium at 30°C at 150 rpm. Cells were washed once with distilled sterile water and pellets were re-suspended in water. One to five microliters were mounted in a glass slide with a 0.17 mm thin cover slip. Samples were visualized using a Nikon Eclipse E600 and pictures taken with an Optronics MagnaFire CCD Microscope Camera.

Xylose metabolism gene analysis

We performed detailed analyses of the genes putatively involved in xylose metabolism by comparing the newly assembled genomes to 27 genomes available from GenBank. We inferred the potential for d-xylose utilization if the following orthologues were present: Xylose reductase (XYL1), xylitol dehydrogenase (XYL2), and d-xylulokinase (XYL3), which translate d-xylose to xylulose-5P, where the xylulose-5P enters the pentose phosphate pathway (PPP). Furthermore, we included genes from the PPP oxidative phase involving the enzymes glucose 6-phosphate dehydrogenase (ZWF1), 6-phosphogluconate dehydrogenase (GND1), and a nonoxidative phase carried out by d-ribulose-5-phosphate 3-epimerase (RPE1), ribose-5-phosphate ketol-isomerase (RKI1), transketolase (TKL1), and transaldolase (TAL1), while phosphoglycerate isomerase (PGI1) completes the cycle. We counted the number of copies of the genes encoding these enzymes in the genome and visualized differences across yeasts in a heatmap generated in Excel. We obtained and aligned genes coding for these enzymes from all 27 genomes using Mafft v.7.471 (http://mafft.cbrc.jp/alignment/software/) and subsequently predicted the secondary protein structure using PSIPRED (http://bioinf.cs.ucl.ac.uk/psipred/).

Results

Phylogenetic analysis of yeast isolates

We collected worker termites of the species M. bellicosus in Comoé National Park (Côte d’Ivoire) and dissected their intestines in foregut, midgut, and hindgut for yeast isolation (Bos et al. 2020). We identified a total of 20 individual yeast colonies spanning all three different gut compartments and four independent termite colonies (Figure 1). To identify novel species and subspecies, we next characterized the isolates taxonomically by sequencing the ITS and D1/D2 rDNA regions of LSU and aligning the sequences to GenBank repository using BLASTN (Altschul et al. 1990) (Figure 1).

From the set of 20 isolates, 11/20 were assigned to Meyerozyma caribbica. Next, 3/20 isolates were assigned to Candida sp. TMS-2011 and the rest (6/20 isolates) did not have a clear match with any NCBI sequence, showing similarities between 84.4% and 99% to their respective best matches (Figure 1). From the six uncategorized isolates, four (IDs: 1112, 1113, 1105 and 1106) showed three gaps with K. quercitrusa KMC-Y23, isolate 1120 showed one mismatch with K. quercitrusa WHFS-3 and isolate 1118 showed 12 gaps and 37 mismatches with Barnettozyma sp. EN30S02, leading to a similarity of 91%. Because 1112, 1113, 1105, and 1106 had identical rDNA D1/D2 sequences, we grouped them and selected 1112 as a representative of this group (Figure 1).

The best ML model based on ITS and LSU was TN93+G. The ML tree allowed us to include all closely related yeast species within the genera (Figure 2). B. botsteinii sp. nov. (1118) clusters as an independent branch with Barnettozyma salicaria NRRL Y-6780T (Figure 2A) while K. quercitrusa var. comoensis (1112) and var. filamentosus (1120) cluster with K. quercitrusa type strain CBS 4412T (Figure 2B).

Figure 2.

Figure 2

Phylogenetic analyses based on rDNA LSU and ITS sequence alignments. ML phylogenies of the new yeast isolates and their closest species in GenBank (Supplementary Table S1 for sequence IDs) for B. botsteinii CBS 16679T (A) and novel strains of K. quercitrusa (B). Branches show the result of bootstrap analysis (1000 replicates). The evolutionary distances were calculated using Kimura 2-parameter method and scale bar is set at 0.08 and 0.06 substitutions per site, respectively. The analysis was performed using MEGA v. X (Kumar et al. 2018).

To gain more confidence on its phylogenetic placement, we sequenced the genomes of isolates 1118, 1112, and 1120. We generated a Multiple-Locus-Sequence-Typing (MLST) analysis based on a set of 1706 BUSCO genes inferred to be Ascomycota-specific and single-copy in at least 85% of the available yeast genomes with high (<80%) genome completeness (for general genome features and completeness, see Table 1). The genome sizes and gene content of 1112 and 1120 are similar to Kurtzmaniella cleridarum, which has a 12.1 Mb large genome and contains 5478 genes, while 1118 is 11.1 Mb with 4888 genes; comparable to the closest relative with a genome available (Barnettozyma salicaria; 11.01 Mb, 5586 genes). The MLST phylogeny thus confirmed the placement of these new isolates in their respective genera and clades (Figure 2).

Table 1.

 Genome characteristics of the three new genomes

Species Assembly size (Mb) # contigs N50 (Mb) %GC # genes # ncRNAs # Repetitive elements BUSCO complete BUSCO duplicated BUSCO fragmented BUSCO missing
B. botsteinii sp. nov. 1118T 11.1 37 1.263 35.0 4888 277 3871 1464 1 55 186
K. quercitrusa var. comoensis 13.0 12 1.732 39.9 5439 361 2337 1466 13 18 209
K. quercitrusa var. filamentosus 13.2 17 1.456 45.5 5475 213 3094 1471 4 26 205

BUSCO, Benchmarking Universal Single-Copy Orthologs, see Methods.

Metabolic profile characterization

To characterize their carbon metabolism, we grew strains 1112, 1120, and 1118 in an array of carbon sources (Supplementary Table S4). Metabolism was detected as a function of respiratory activity (production of NADH) by monitoring the color change in the medium (reduction of tetrazolium dye). From the 190 carbon sources tested, K. quercitrusa var. comoensis (1112) metabolized among others pentose sugars (2-reoxy-d-ribose, d-arabinose, l-arabinose, d-mannose, d-ribose, l-lyxose, and d-xylose), hexose sugars (α-d-glucose, d-fructose, d-galactose, and d-tagatose), disaccharides (isomaltulose, maltose, sucrose, gentiobiose, palatinose, and turanose), trisaccharides (d-melezitose and maltotriose), organic acids (5-keto-d-gluconic acid, citramalic acid, d,l-malic acid, δ-amino-aleric acid, γ-amino butyric acid, l-malic acid, N-acetyl-neuraminic acid succinic acid), Tween (Tween 20, Tween 40, and Tween 80), etc. (see the complete list in Supplementary Table S4).

K. quercitrusa var. filamentosus (1120) metabolized among others pentose sugars (2-reoxy-d-ribose, d-arabinose, l-arabinose, d-ribose and d-mannose, and l-lyxose), (hexose sugars (α-d-glucose, d-fructose, d-galactose), disaccharides (d-trehalose and gentiobiose), amino acids (l-alanine, l-asparagine, l-aspartic acid, l-glutamine, l-isoleucine, l-lysine, l-proline, and l-pyroglutamic acid), etc. (see the complete list in Supplementary Table S4).

B. botsteinii sp. nov. 1118T metabolized among others pentose sugars (2-reoxy-d-ribose, l-arabinose, d-ribose, d-xylose, and l-lyxose), methyl pentose (l-rhamnose), hexose sugars (α-d-glucose, d-glucose-1-Phosphate, d-fructose, d-mannose, and d-psicose), disaccharides (d-cellobiose, gentiobiose, and maltose), trisachharides (maltotriose), sugar alcohols (d-mannitol, d-sorbitol, and glycerol), organic acids (5-keto-d-gluconic acid, α-keto-glutaric acid, acetic acid, citric acid, fumaric acid, pyruvic acid, l-malic acid, and succinic acid), Tween (Tween 20, Tween 40, and Tween 80), etc. (see the complete list in Supplementary Table S4).

We then compared the metabolic profile characterization of the 1118 with other known and closely related Barnettozyma and Candida species such as B. salicaria, B. siamensis and C. montana. The result revealed that it has different metabolic characteristics, as it can assimilate d-ribose, l-arabinose, gelatine, and maltose, but not salicin and sucrose (Supplementary Table S5). Similarly, the comparison of the physiology of 1112 and K. quercitrusa CBS 4412 showed that 1112 differed by being able to assimilate d-arabinose, d-xylose, inulin, l-arabinose, N-acetyl-d-glucosamine and salicin, but not d-glucosamine, d-mannitol, d-trehalose, glycerol, and xylitol. In contrast to K. quercitrusa CBS 4412, 1120 grows on d-arabinose, gelatine, l-arabinose and gelatine but not d-mannitol, maltose, sucrose, and l-sorbose (Supplementary Table S5).

Morphology description

Kurtzmaniella quercitrusa var. comoensis

Strain ID in this work: 1112. Microscopic examination of this isolate confirmed that it grew as yeast. Cells appear as black, oval shaped and were 3–4 µm long and 2–3 µm wide during exponential growth in rich (YPD) and minimal glucose medium (see Methods section). Cells divide mitotically by a small bud that fully separates from the mother cell (Figure 3A). Colonies on YPD agar are white, bright, and round, while they appear as a flat and round with an even rim on medium with a low concentration of agar, 0.3% YPD agar (Figure 3D).

Figure 3.

Figure 3

Morphology description. Bright field microscopy pictures (left images) of cells grown in YPD at exponential phase and colonization pattern on YPD 0.3% agar (right images) of K. quercitrusa var. comoensis (A and D), K. quercitrusa var. filamentosus (B and E), and B. botsteinii sp. nov. 1118T (C and F). Colonies were grown at room temperature for 14 days. Bars show respective scales.

Kurtzmaniella quercitrusa var. filamentosus

Strain ID in this work: 1120. Yeast cells of this strain are clearly distinguishable from K. quercitrusa var. comoensis. Being 5–6 µm in length and 1–2 µm wide, cells appear as longer and thinner than 1112 (Figure 3B). Moreover, during exponential growth in glucose-based medium, YPD, and minimal glucose medium (see Methods section), some cells do not fully separate after division leading to formation of 5–6-cell-long pseudohyphal structures. After 5 days of growth in liquid 1% xylose medium, formation of pseudohyphae is strongly enhanced, leading to truly septated hyphae. Hyphae first appear as germ tubes (Figure 4A), which are 2–7 cell long chains growing from a single round cell. They later elongate and mature to true hyphal structures showing bifurcations (Figure 4, C and C). Colonies on rich glucose-based medium (YPD) and minimal glucose medium show a rough, butyrous, and ivory-colored phenotype. In addition, their colonization pattern on 0.3% agar plates is noneven with visible edges and with some growth elevated from the agar (see Methods section) (Figure 3E).

Figure 4.

Figure 4

Filamentous growth of K. quercitrusa var. filamentosus (1120). Cells grown in the synthetic liquid medium 1% xylose (pH = 6) grow as filaments. Single yeast colonies from xylose agar plates were grown in 1% xylose liquid medium buffered at pH = 6 (see Methods). After 48–72 h at 30°C at 150 rpm, small cell chains are visible (A and B) elongating either from single cells (*) or a cluster of cells (**). Eventually, after 96–120 h, these structures develop to longer septate filaments (C and Ć) with bifurcations (arrowhead in Ć). Bright-field microscopy images at indicated scale.

Barnettozyma botsteinii sp. nov.

B. botsteinii sp. nov. 1118T yeast cells are mostly spherical and small (3–4 µm × 2–3 µm) during exponential growth in liquid rich medium (YPD) and minimal glucose media (see Methods section). They are commonly observed as clusters of 3–5 cells forming pseudohyphal structures (Figure 3C). No sign of true hyphae formation was observed in any condition. Although colonies on YPD or minimal glucose medium appear as smooth, the colonization on glucose 0.3% YPD agar leads to an edgy pattern (Figure 3F). The colonies are ivory-colored and flat. The relatively low growth rate observed on liquid medium (Table 2) was also reflected in smaller colonies on solid medium (both on YPD and on SC-1% glucose).

Table 2.

Growth rates in defined liquid media

SC-1% glucose
SC-1% xylose
pH = 3.2
pH = 6
pH = 3.2
pH = 6
µmax (± ST) DT µmax (± ST) DT µmax (± ST) DT µmax (± ST) DT
CEN.PK 0.30 (±0.03) 2.3 0.33 (±0.05) 2.1
B. botsteinii sp. nov. 1118T 0.03 (±0.005) 25.7 0.24 (±0.02) 2.8
K. quercitrusa var. nov. 1112 0.35 (±0.04) 2.0 0.36 (±0.04) 1.9 0.036 (±0.001) 19.3
K. quercitrusa var. nov. 1120 0.35 (±0.02) 2.0 0.35 (±0.04) 2.0 0.035 (±0.001) 19.6 Hyphae Hyphae

Growth rate (µmax, h−1) and doubling times (DT, h) of CEN.PK, B. botsteinii sp. nov. 1118, K. quercitrusa var. nov. 1112, and K. quercitrusa var. nov. 1120 in liquid SC-1% glucose and SC-1% xylose at pH 3.2 or 6. All growth rates are averages of two independent experiments from two independent clones.

d-Xylose metabolism

After observing that the novel isolates grow on pentose sugars, we next characterized their d-xylose utilization, using different aeration and concentrations of sugar in the growth medium. Strains K. quercitrusa var. comoensis (strain 1112) and K. quercitrusa var. filamentosus (strain 1120) show an aeration-dependent growth preference on d-xylose (Figure 5). From the conditions tested, the highest biomass is reached with high aeration in combination with 2% d-xylose, where the OD600 after 14 days of growth reaches 16.6 ± 0.6 and 14.9 ± 1.0, respectively. For both K. quercitrusa strains, we observed a correlation between aeration levels and OD600. A decrease in aeration level correlates with a decrease in OD600 both with 2% d-xylose and 10% d-xylose. For example, in low aeration conditions 1112 grows to OD600 of 5.8 ± 0.2 with 2% d-xylose and 5.8 ± 0.2 with 10% d-xylose. Similarly, 1120 grows to an OD600 of 5.4 ± 0.8 with 2% d-xylose and 2.3 ± 0.6 with 10% d-xylose. We observed a further reduction in the OD600 in microaeration conditions, especially in 1112 strain, where it reaches only 3.2 ± 0.29 in 2% d-xylose and 2.4 ± 0.1 in 10% d-xylose.

Figure 5.

Figure 5

Effect of aeration and sugar concentration on d-xylose growth. OD600 measurements at selected times in microaeration (gray), low aeration (orange), and high aeration (blue) in 2% d-xylose (continuous line) or 10% d-xylose (discontinuous line) conditions of K. quercitrusa var. comoensis (1112) (top), K. quercitrusa var. filamentosus (1120) (middle), and B. botsteinii sp. nov. 1118T (bottom). Representative bright-field microscopy images at indicated scale of cells growing at low aeration (2% or 10% d-xylose) are shown below each graph. Error bars show SD of three OD600 measurements. Growth experiments were repeated twice.

B. botsteinii sp. nov. 1118T, on the other hand, did not efficiently grow on d-xylose. Only marginal to very limited growth was observed with microaeration and high d-xylose concentration (Figure 5). Interestingly, K. quercitrusa var. filamentosus (strain 1120) undergoes a dimorphic shift and forms hyphae in 2% d-xylose medium combined with high or low aeration (Figure 5). The dimorphic shift consisted of formation of pseudohyphae and hyphae of various lengths. No changes in morphology were observed with the others strains.

We next compared the growth rates of K. quercitrusa when propagate in d-xylose and d-glucose at low and neutral pH (Table 2). K. quercitrusa var. comoensis (strain 1112) cells grew in 1% synthetic glucose medium with a doubling time of 2.0 h at pH = 3.2. At pH = 6, the doubling time was similar at 1.9 h. In 1% xylose medium, cells grew at a doubling time of 19.3 h, while they exhibited no growth at pH = 3.2. Cells grew as single yeast cells and divided by budding through exponential phase at both carbon source medium (Table 2). For comparison, a S. cerevisiae CEN.PK type strain grew only in synthetic glucose medium at a doubling time of 2.3 h at pH = 3.2 while at pH = 6 it grew with a doubling time of 2.1 h.

K. quercitrusa var. filamentosus (strain 1120) grew on 1% glucose with a doubling time of 2.0 h at both tested pH (3.2 and 6.0). In xylose, the strain showed pH-dependent morphologic differences (Table 2). At pH = 3.2, the strain grew as single yeast cells with a doubling time of 19.6 h, while at pH = 6.0 medium, pseudohyphae accumulated and matured into true hyphae (Table 2 and Figure 5). Both strains of K. quercitrusa (strains 1112 and 1120) showed very similar growth rates in 1% glucose medium and slightly lower than S. cerevisiae CEN.PKT strain (Table 2).

B. botsteinii sp. nov. 1118T grew in 1% glucose medium at pH = 6 with doubling time of 2.8 h (Table 2). Interestingly, the strain was sensitive to acidic pH that drastically increased its doubling time of 25.7 h at pH = 3.2. Compared to the K. quercitrusa strains and S. cerevisiae CEN.PKT, this species showed the slowest growth rate at both pH (Table 2). Under this experimental growth condition, the strain was not able to grow on 1% xylose medium at either of the tested pH (Table 2).

Copy number changes of genes coding for enzymes in metabolic pathways are known to affect metabolic pathway efflux (Steenwyk and Rokas 2018). Therefore, we investigated the copy number of genes involved in xylose and pentose metabolism. Our comparative genomics analysis for XYL and PPP genes revealed that the vast majority of yeasts contained all the orthologues necessary for xylose metabolism (Figure 6). The lack of growth of some of the species on xylose thus does not appear to be as a result of the absence of xylose-metabolizing genes (Figure 6).

Figure 6.

Figure 6

Multiple-locus-sequence-typing analysis. In bold, species and strains described in this study. Consensus ML distance tree based on 344 single-copy orthologous genes with nonparametric bootstrapping with individual gene trees built in RAxML-NG using a GTR+G model. Heatmap of identified number of genes involved in the assimilation and metabolism of xylose across selected yeast species. The heat map indicates that the novel strains and species are comparable to other yeast species (see text for details). Color code indicates number of orthologous genes (top gene panel) from four to none. Positive (+), negative (−), weak (W), variable (V), and slow (S). Details and references of strains used are found in Supplementary Table S6. *The species was transferred from Candida to Kurtzmaniella genus (Lopes et al. 2019).

Taxonomy

Description of B. botsteinii sp. nov. 1118

MycoBank: MB 833563

Barnettozyma botsteinii (bɔt’ʃtaɪni, N.L. gen. n. botsteinii, named after scientist David Botstein) isolated from the hindgut of termite M. bellicosus in Côte d’Ivoire. Holotype is preserved at the Westerdijk Institute as CBS 16679T and an isotype at the IBT Culture Collection of Fungi as IBT 710. Cells appear as spherical and small (3–4 µm × 2–3 µm), typically forming clusters of 3–5 cells in pseudohyphal structures. No sign of true hyphae formation was observed in the conditions tested. The colonies appear ivory colored, flat and circular in YPD or minimal 1% glucose medium. However, at low agar (0.3% agar) glucose medium the edge becomes undulate (Figure 3). Cells are able to grow in liquid or solid YPD at 22°C–30°C. The cells grow in 1% glucose medium at pH = 6 with a growth rate of 0.24 h (±0.02) and doubling time of 2.8 h. Their growth rate is decreased to 0.03 h (±0.005) corresponding to a doubling time of 25.7 h at pH = 3.2 (Table 2). Based on its genome, phylogeny, and physiology analysis, we confirm that isolate 1118 is clearly distinct from any other known Barnettozyma species, we assign the status of sp. nov. to isolate 1118 and thus, propose B. botsteinii sp. nov. 1118T as the founder and type strain of a novel yeast species. We name the species after Professor David Botstein, a true inspirer, great geneticist, and important figure for the yeast research community (Botstein et al. 1980; Botstein and Fink 1988).

Discussion

In this study, we isolated novel and biotechnologically relevant yeast strains from termite guts. We describe two novel strains of K. quercitrusa and a new species of yeast, which we name B. botsteinii based on genomic information. The criteria to classify these three novel taxa follows Kurtzman et al. (2011c), in which conspecific strains differ by no more than three nucleotides, whereas distinct species show six or more nucleotide differences (Kurtzman et al. 2011b).

Here, the novel yeast species B. botsteinii sp. nov. 1118T is described based on a single isolate. Novel single-strain fungal taxa descriptions are debated as complete intraspecific variability (including genetic and phenotypic) and its ecological role cannot be fully captured using one strain. However, nearly one-third of described yeast species is based on single isolates (Kurtzman et al. 2011a). The documentation and publishing of single strains novel taxa serve as a nucleation point for further studies and the possibility of combining information from strains independently isolated in time. While it was not possible for us to collect new material or find any other available strain with a complete match in GenBank, it is possible that more isolates of B. botsteinii sp. nov. are found in the future. This debate was recently reviewed in Brysch-Herzberg et al. (2020).

We find that both novel strains of K. quercitrusa are able to grow on d-xylose, and their overall metabolic profile makes them interesting for further applied studies. The complex phenotypic change that K. quercitrusa var. filamentosus (strain 1120) undergoes (filamentation when growing on certain carbon sources) reveals the existence of a metabolic shift that can control alterations in protein secretion and enzyme production similar to that of other yeasts with a dimorphic shift (Gauthier 2017; Celińska and Nicaud 2019).

We identified two novel strains and a new species of yeast by studying a relatively small number of individuals (around 100 termites from only one termite species, M. bellicosus). Other yeast strains, without a clear match to described species, have previously been isolated from Macrotermes subhyalinus (Yoro et al. 2014) and other fungus-growing termites (Odontotermes formosanus) (Mathew et al. 2012). Therefore, the Macrotermitinae termite sub-family, comprising 330 described species, appears as a potentially extensive biological reservoir for new yeast species and strains of biotechnological relevance.

K. quercitrusa was first isolated from the insect frass on an oak tree (Quercus sp.) (Meyer and Yarrow 1998), type strain CBS 4412T. Other isolates of the same species have been collected from other insects (beetles) and from flowers around the world (e.g., Oceania, South America, and South-east Asia) (Crous et al. 2004; Molnár et al. 2008). Although generally considered nonpathogenic, adult and pediatric human infections have been reported in immunocompromised patients, widening the spectrum of nonalbicans candidiasis (Xiao et al. 2014; Westblade et al. 2015).

Yeasts are widely used in the biotechnological production of metabolites and protein. However, most do not metabolize pentose sugars well. The two new K. quercitrusa strains (var. comoensis 1112 and var. filamentosus 1120) grow well on hexose sugars, such as glucose, fructose, mannose, and galactose, and are also able to assimilate pentose sugars such as ribose, xylose, arabinose, and lyxose. They show differences in growth on short oligosaccharides in which var. comoensis grows on maltose and sucrose while var. filamentosus grows on trehalose and adonitol. Furthermore, they both can grow in the presence of complex plant-derived polysaccharides such as mannan, dextrin, and laminarin. The metabolic profile resembles that of K. quercitrusa-type strain CBS 4412T, including xylose assimilation (Kurtzman et al. 2011c). Strain var. filamentosus is different to var. comoensis in its ability to differentially metabolize both monosaccharides (adonitol) and disaccharides (d-trehalose). The filamentous growth of var. filamentosus has been reported in another member of K. quercitrusa, strain NRRL Y-5392, although described as pseudohyphae (Kurtzman et al. 2011c). In addition, other members of the Kurtzmaniella clade, such as Candida railenensis, also show hyphae formation under certain conditions (Ramírez and González 1984; Kurtzman et al. 2011c). We observed that this phenotype is highly variable and dependent on factors that are common, for example, among Candida species, namely: carbon source and concentration, pH, and aeration level (Caplice and Moran 2015).

We also describe a new yeast species, named B. botsteinii sp. nov. 1118T, closely related to Barnettozyma salicaria NRRL Y-6780T. Metabolically, B. botsteinii grows on an array of hexose and pentose sugars. Notably, the strain showed positive growth on short organic acids: acetic and glyoxylic acids (2 carbons), pyruvic acid (3C), fumaric and malic acids (4C), α-ketoglutaric acid (5C), and citric acid (6C). Because many of these are part of the Krebs cycle, this metabolic profile suggests that this species could be classified as Krebs positive (Barnett and Kornberg 1960; Casal et al. 2008). The isolated strain grew in culture conditions although at relatively low rates, suggesting that we did not find the best growth conditions for this species. B. botsteinii could be dependent on the environment provided by the termite for optimal growth like some other known gut-associated yeasts, such as Coccidiascus legeri, which have an obligate relationship with their host insect and are unable to grow on any tested laboratory conditions (Kurtzman et al. 2011c; Stefanini 2018).

The annotation and analyses of genes involved in xylose metabolism did not spur differences in the novel strains and other known yeasts, suggesting that the phenotypic variation in growth in this group of yeasts is unlikely to be driven by differences in the gene content. Although no effect of gene copy number was observed, other genetic factors could influence gene expression and explain the observed phenotypic diversity such as single-nucleotide polymorphisms (SNPs), small inversions–deletions, or translocations. In addition, differences in the balance of key metabolic components and co-factors can influence enzyme activities, for example, NADH/NAD+, which are important for xylose metabolism (Riley et al. 2016). This suggests that the capacity to assimilate and metabolize xylose may be ancient and conserved in yeasts.

A question that remains open is whether these yeast species stably colonize the termite gut or are ingested during foraging. K. quercitrusa strain CBS 4412T was isolated from insect frass and we isolated K. quercitrusa var. filamentosus from the termite hindgut (i.e., last compartment before faces deposition), suggesting that at least this particular yeast species can survive gut passage, a feature not common to all yeasts nor insect guts (Madden et al. 2018). Gut passage is exploited by other yeast species for their dispersal and breeding (Reuter et al. 2007; Stefanini et al. 2012; Madden et al. 2018) and it is possible that K. quercitrusa and B. botsteinii are also dependent on gut passage for growth, mating, and dispersal.

Biotechnologically, the strains and species characterized here show interesting features that warrant further exploration. K. quercitrusa growth on xylose makes them interesting for industrial applications, especially if they are able to co-ferment xylose in the presence of hexoses (Hahn-Hägerdal et al. 2007; Ceccato-Antonini et al. 2017). Especially, the characteristics of K. quercitrusa var. filamentosus make it suited for biotechnologically production, since growth at low pH, metabolism of pentose sugars, and a controllable filamentous state are particularly desired traits. In addition, all three strains appear to be able to metabolize polysorbate, also known as Tween. This is a complex molecule formed by polyexyethylenated sorbitol molecules with lauric acid and used as a detergent and surfactant. Other yeasts such as Candida albicans or Candida parapsilosis sustain growth on Tween as a sole carbon source, a trait considered as a virulence factor as its lipid content triggers the expression of extracellular phospholipases, including LIP1 (Fu et al. 1997; Slifkin 2000).

In addition, other metabolic processes other than pentose consumption are also biotechnologically attractive. The cellobiose respiration by B. botsteinii sp. nov. 1118T suggests the presence of ß-glucosidases enzymes (EC 3.2.1.21), which are able to break down the cellobiose molecule into single glucose molecules. During the depolymerization of cellulose, cellobiose is produced which inhibits cellulose-degrading enzymes (cellulose 1,4-ß-cellobiosidase and endoglucanases), reducing the overall efficiency (Murphy et al. 2013; Sørensen et al. 2013). Thus, the addition of ß-glucosidases to the process can greatly improve its efficiency (Woodward and Wiseman 1982).

In conclusion, the intestine of fungus-growing termites appears to be a promising niche for the identification of new yeast strains and species. The metabolic profiles of the yeasts isolated from termite gut reflect the adaptations to a plant-based diet found either within the wild or within the gut of the termite, and these gut-residing yeasts of Macrotermes termites have interesting traits of relevance to the biotechnology industry.

Data availability

Sanger sequences of D1/D2 rDNA regions of LSU and ITS for isolate 1112, 1120, and 1118 are deposited in the GenBank under the accessions MN497060.1, MN497056.1, MN509221.1, MN497061.1, MN497057.1, and MN509222.1. Genomes of three strains are deposited in GenBank under the BioProject number PRJNA695125, and the accession numbers are JAFIDI000000000, JAFIIU000000000, and JAFIDH000000000. The strains are available as follows: B. botsteinii sp. nov. 1118T (MycoBank: 833563, CBS 16679T and IBT 710), K. quercitrusa var. comoensis 1112 (CBS 16678, IBT 709) and K. quercitrusa var. filamentosus 1120 (CBS 16680, IBT 711).

Supplementary material is available at figshare: https://doi.org/10.25387/g3.14899278. .

Acknowledgments

The authors would like to thank N’golo A. Kone, Kolotchèlèma Simon Silue, and the staff at the Comoé National Park Research Station in Côte d’Ivoire for assistance with collections. They also thank Josefin Stiller, Thomas Læssøe, and Bolette Rud. Pallesen for their advice on phylogenetics, morphological description, and phonetics.

Funding

This work was supported by an ERC Consolidator grant (771349) to M.P. G.A. received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801199.

Conflicts of interest

The authors declare that there is no conflict of interest.

Author contributions

Termite collection and dissection were performed by Leandro Guimaraes. Yeast isolation, identification, and characterization were performed by Gerard Arrey and Sefa Alizadeh. Guangshuo Li performed genome analyses and Robert Murphy performed MLST. Michael Poulsen and Birgitte Regenberg raised funding for the project and designed the study, with input from all authors. The first draft of the manuscript was written by Gerard Arrey and Birgitte Regenberg. All authors commented on previous versions of the manuscript and read and approved the final manuscript.

Ethical statement

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. Termites were collected under permit 189/UNA/CRE/SREC issued by Universite Nangui Abrogoua and Research Station Comoé on December 12, 2018. M. bellicosus is not an endangered species of insect. This article does not contain any studies with human participants performed by any of the authors.

Contributor Information

Gerard Arrey, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Guangshuo Li, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Robert Murphy, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Leandro Guimaraes, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Sefa Alizadeh, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Michael Poulsen, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Birgitte Regenberg, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 1165, Denmark.

Literature cited

  1. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ.  1990. Basic local alignment search tool. J Mol Biol. 215:403–410. doi:10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  2. Andrews S, Krueger F, Segonds-Pichon A, Biggins L, Krueger C, et al.  2012. FastQC: A Quality Control Tool for High Throughput Sequence Data. http://www.bioinformatics.babraham.ac.uk/projects/fastqc.
  3. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, et al.  2000. Gene ontology: tool for the unification of biology. Nat Genet. 25:25–29. doi:10.1038/75556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Barnett JA, Kornberg HL.  1960. The utilization by yeasts of acids of the tricarboxylic acid cycle. J Gen Microbiol. 23:65–82. doi:10.1099/00221287-23-1-65. [DOI] [PubMed] [Google Scholar]
  5. Bateman A.  2019. UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res. 47:D506–D515. doi:10.1093/nar/gky1049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bettiga M, Bengtsson O, Hahn-Hägerdal B, Gorwa-Grauslund MF.  2009. Arabinose and xylose fermentation by recombinant Saccharomyces cerevisiae expressing a fungal pentose utilization pathway. Microb Cell Fact. 8:40.doi:10.1186/1475-2859-8-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bos N, Guimaraes L, Palenzuela R, Renelies-Hamilton J, Maccario L, et al.  2020. You don’t have the guts: a diverse set of fungi survive passage through Macrotermes bellicosus termite guts. BMC Evol Biol. 20:163. doi:10.1186/s12862-020-01727-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Botstein D, White RL, Skolnick M, Davis RW.  1980. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet. 32:314–331. doi:10.17348/era.9.0.151-162. [PMC free article] [PubMed] [Google Scholar]
  9. Botstein D, Fink GR.  1988. Yeast: an experimental organism for modern biology. Science. 240:1439–1443. doi:10.1126/science.3287619. [DOI] [PubMed] [Google Scholar]
  10. Brysch-Herzberg M, Wohlmann E, Fischer R.  2020. Zygosaccharomyces seidelii sp. nov. a new yeast species from the Maldives, and a revisit of the single-strain species debate. Antonie van Leeuwenhoek. 113:427–436. doi:10.1007/s10482-019 -01352-x. [DOI] [PubMed] [Google Scholar]
  11. Buxton RD.  1981. Termites and the turnover of dead wood in an arid tropical environment. Oecologia. 51:379–384. doi:10.1007/BF00540909. [DOI] [PubMed] [Google Scholar]
  12. Blackwell M. 2017. Yeasts in Insects and Other Invertebrates. In: Buzzini P., Lachance MA., Yurkov A. (eds) Yeasts in Natural Ecosystems: Diversity. Cham: Springer. 10.1007/978-3-319-62683-3_13 [DOI] [Google Scholar]
  13. Caplice N, Moran GP.  2015. Candida albicans exhibits enhanced alkaline and temperature induction of Efg1-regulated transcripts relative to Candida dubliniensis. Genom Data. 6:130–135. doi:10.1016/j.gdata.2015.08.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Casal M, Paiva S, Queirós O, Soares-Silva I.  2008. Transport of carboxylic acids in yeasts. FEMS Microbiol Rev. 32:974–994. doi:10.1111/j.1574-6976.2008.00128.x. [DOI] [PubMed] [Google Scholar]
  15. Ceccato-Antonini SR, Codato CB, Martini C, Bastos RG, Tauk-Tornisielo SM.  2017. Yeast for pentose fermentation: isolation, screening, performance, manipulation, and prospects. In: Buckeridge M., De Souza A. (eds) Advances of Basic Science for Second Generation Bioethanol from Sugarcane. Cham: Springer. p. 133–157. doi:10.1007/978-3-319-49826-3_8. [Google Scholar]
  16. Celińska E, Nicaud JM.  2019. Filamentous fungi-like secretory pathway strayed in a yeast system: peculiarities of Yarrowia lipolytica secretory pathway underlying its extraordinary performance. Appl Microbiol Biotechnol. 103:39–52. doi:10.1007/s00253-018-9450-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Collins NM.  1981. The role of termites in the decomposition of wood and leaf litter in the Southern Guinea savanna of Nigeria. Oecologia. 51:389–399. doi:10.1007/BF00540911. [DOI] [PubMed] [Google Scholar]
  18. Crous PW, Gams W, Stalpers JA, Robert V, Stegehuis G.  2004. MycoBank: an online initiative to launch mycology into the 21st century. Stud Mycol. 50:19–22. [Google Scholar]
  19. da Costa RR, Hu H, Li H, Poulsen M.  2019. Symbiotic plant biomass decomposition in Fungus-Growing termites. Insects. 10: 87. doi:10.3390/insects10040087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Demain AL.  2000. Microbial biotechnology. Trends Biotechnol. 18:26–31. doi:10.1016/S0167-7799(99)01400-6 [DOI] [PubMed] [Google Scholar]
  21. Fu Y, Ibrahim AS, Fonzi W, Zhou X, Ramos CF, et al.  1997. Cloning and characterization of a gene (LIP1) which encodes a lipase from the pathogenic yeast Candida albicans. Microbiology (Reading). 143(Pt 2):331–340. doi:10.1099/00221287-143-2-331. [DOI] [PubMed] [Google Scholar]
  22. Gauthier GM.  2017. Fungal dimorphism and virulence: molecular mechanisms for temperature adaptation, immune evasion, and in vivo survival. Mediators Inflamm. 2017:8491383. doi:10.1155/2017/8491383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Groenewald M, Boundy-Mills K, Čadež N, Endoh R, Jindamorakot S, et al.  2017. Census of yeasts isolated from natural ecosystem and conserved in worldwide collections. In: Yeasts in Natural Ecosystems: Diversity. 455–476. doi:10.1007/978-3-319-62683-3_15. [Google Scholar]
  24. Hahn-Hägerdal B, Karhumaa K, Fonseca C, Spencer-Martins I, Gorwa-Grauslund MF.  2007. Towards industrial pentose-fermenting yeast strains. Appl Microbiol Biotechnol. 74:937–953. doi:10.1007/s00253-006-0827-2. [DOI] [PubMed] [Google Scholar]
  25. Holt C, Yandell M.  2011. MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects. BMC Bioinformatics. 12:491.doi:10.1186/1471-2105-12-491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hu J, Fan J, Sun Z, Liu S.  2020. NextPolish: a fast and efficient genome polishing tool for long-read assembly. Bioinformatics. 36:2253–2255. doi:10.1093/bioinformatics/btz891. [DOI] [PubMed] [Google Scholar]
  27. Jones P, Binns D, Chang HY, Fraser M, Li W, et al.  2014. InterProScan 5: genome-scale protein function classification. Bioinformatics. 30:1236–1240. doi:10.1093/bioinformatics/btu031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Kanehisa M, Furumichi M, Sato Y, Ishiguro-Watanabe M, Tanabe M.  2021. KEGG: integrating viruses and cellular organisms. Nucleic Acids Res. 49:D545–D551. doi:10.1093/nar/gkaa970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Koren S, Walenz BP, Berlin K, Miller JR, Bergman NH, et al.  2017. Canu: scalable and accurate long-read assembly via adaptive κ-mer weighting and repeat separation. Genome Res. 27:722–736. doi:10.1101/gr.215087.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A.  2019. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics. 35:4453–4455. doi:10.1093/bioinformatics/btz305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kricka W, Fitzpatrick J, Bond U.  2014. Metabolic engineering of yeasts by heterologous enzyme production for degradation of cellulose and hemicellulose from biomass: a perspective. Front Microbiol. 5:174. doi:10.3389/fmicb.2014.00174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Kuiper-Goodman T, Scott PM.  1989. Risk assessment of the mycotoxin ochratoxin A. In: Biomedical and Environmental Sciences: BES, p. 179–248. doi:10.1016/B978-0-12-372180-8.50042-1. [PubMed]
  33. Kumar S, Stecher G, Li M, Knyaz C, Tamura K.  2018. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 35:1547–1549. doi:10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Kurtzman CP, Fell JW, Boekhout T.  2011a. Definition, classification and nomenclature of the yeasts. In: Kurtzman CP, Fell JW, Boekhout T. (eds). The Yeasts, Vol. 1. Elsevier. p. 3–5. doi:10.1016/B978-0-444-52149-1.00001-X. [Google Scholar]
  35. Kurtzman CP, Fell JW, Boekhout T.  2011b. Gene sequence analyses and other DNA-based methods for yeast species recognition. In: Kurtzman CP, Fell JW, Boekhout T. (eds). The Yeasts, Vol. 1. Elsevier. p. 137–144. doi:10.1016/B978-0-444-52149-1.00010-0. [Google Scholar]
  36. Kurtzman CP, Fell JW, Boekhout T, Robert V.  2011c. Methods for isolation, phenotypic characterization and maintenance of yeasts. In: Kurtzman CP, Fell JW, Boekhout T, Robert V. (eds). The Yeasts, Vol. 1. Elsevier. p. 87–110. doi:10.1016/B978-0-444-52149-1.00007-0. [Google Scholar]
  37. Kurtzman CP, Guthrie C, Fink GR.  1991. Guide to yeast genetics and molecular biology. Methods Enzymol. 194:1–863. doi:10.2307/3760517. [PubMed] [Google Scholar]
  38. Kurtzman CP, Mateo RQ, Kolecka A, Theelen B, Robert V, et al.  2015. Advances in yeast systematics and phylogeny and their use as predictors of biotechnologically important metabolic pathways. FEMS Yeast Res. Sep 15(6):fov050. doi:10.1093/femsyr/fov050. [DOI] [PubMed] [Google Scholar]
  39. Kurtzman CP, Robnett CJ.  1997. Identification of clinically important ascomycetous yeasts based on nucleotide divergence in the 5’ end of the large-subunit (26S) ribosomal DNA gene. J Clin Microbiol. 35:1216–1223. doi:10.1128/jcm.35.5.1216-1223.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Lange L.  2017. Fungal enzymes and yeasts for conversion of plant biomass to bioenergy and high-value products. In: Heitman, J., Howlett, B., Crous, P. W., Stukenbrock, E., James, T., & Gow, N. A. R. (Eds.) The Fungal Kingdom. American Society of Microbiology. p. 1029–1048. doi:10.1128/microbiolspec.funk-0007-2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Lee SY, Sankaran R, Chew KW, Tan CH, Krishnamoorthy R, et al.  2019. Waste to bioenergy: a review on the recent conversion technologies. BMC Energy. 1:4. doi:10.1186/s42500-019-0004-7. [Google Scholar]
  42. Leskovec J, Sosič R.  2016. SNAP: A general-purpose network analysis and graph-mining library. ACM Trans Intell Syst Technol. 8:1–20. doi:10.1145/2898361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Leuthold RH, Badertscher S, Imboden H.  1989. The inoculation of newly formed fungus comb with Termitomyces in Macrotermes colonies (Isoptera, Macrotermitinae). Ins Soc. 36:328–338. doi:10.1007/BF02224884. [Google Scholar]
  44. Lopes MR, Santos ARO, Moreira JD, Santa-Brígida R, Martins MB, et al.  2019. Kurtzmaniella hittingeri f.a., sp. nov., isolated from rotting wood and fruits, and transfer of three Candida species to the genus Kurtzmaniella as new combinations. Int J Syst Evol Microbiol. 69:1504–1508. doi:10.1099/ijsem.0.003337. [DOI] [PubMed] [Google Scholar]
  45. Lowe TM, Chan PP.  2016. tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes. Nucleic Acids Res. 44:W54–W57. doi:10.1093/nar/gkw413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Madden AA, Epps MJ, Fukami T, Irwin RE, Sheppard J, et al.  2018. The ecology of insect – Yeast relationships and its relevance to human industry. Proc Biol Sci. 285:20172733.doi:10.1098/rspb.2017.2733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Mäkelä MR, Donofrio N, De Vries RP.  2014. Plant biomass degradation by fungi. Fungal Genet Biol. 72:2–9. doi:10.1016/j.fgb.2014.08.010. [DOI] [PubMed] [Google Scholar]
  48. Martínez-Gutiérrez E.  2018. Biogas production from different lignocellulosic biomass sources: advances and perspectives. Biotech. 8:233.doi:10.1007/s13205-018-1257-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Mathew GM, Ju YM, Lai CY, Mathew DC, Huang CC.  2012. Microbial community analysis in the termite gut and fungus comb of Odontotermes formosanus: the implication of Bacillus as mutualists. FEMS Microbiol Ecol. 79:504–517. doi:10.1111/j.1574-6941.2011.01232.x. [DOI] [PubMed] [Google Scholar]
  50. Meyer SA, Yarrow D.  1998. Validation of the names of three candida species. 66:99–101. [Google Scholar]
  51. Mistry J, Chuguransky S, Williams L, Qureshi M, Salazar GA, et al.  2021. Pfam: the protein families database in 2021. Nucleic Acids Res. 49:D412–D419. doi:10.1093/nar/gkaa913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Molnár O, Wuczkowski M, Prillinger H.  2008. Yeast biodiversity in the guts of several pests on maize; comparison of three methods: classical isolation, cloning and DGGE. Mycol Progress. 7:111–123. doi:10.1007/s11557-008-0558-0. [Google Scholar]
  53. Murphy L, Bohlin C, Baumann MJ, Olsen SN, Sørensen TH, et al.  2013. Product inhibition of five Hypocrea jecorina cellulases. Enzyme Microb Technol. 52:163–169. doi:10.1016/j.enzmictec.2013.01.002. [DOI] [PubMed] [Google Scholar]
  54. Nurk S, Bankevich A, Antipov D, Gurevich A, Korobeynikov A, et al.  2013. Assembling genomes and mini-metagenomes from highly chimeric reads. Lect Notes Comput Sci.  7821:158–170. doi:10.1007/978-3-642-37195-0_13. [Google Scholar]
  55. O'Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, et al.  2016. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 44:D733–D745. doi:10.1093/nar/gkv1189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Poulsen M, Hu H, Li C, Chen Z, Xu L, et al.  2014. Complementary symbiont contributions to plant decomposition in a fungus-farming termite. Proc Natl Acad Sci USA. 111:14500–14505. doi:10.1073/pnas.1319718111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Qin L, Li W-C, Zhu J-Q, Li B-Z, Yuan Y-J.  2017. Hydrolysis of Lignocellulosic Biomass to Sugars. In: Fang Z., Smith, Jr. R., Qi X. (eds). Production of Platform Chemicals from Sustainable Resources. Biofuels and Biorefineries. Singapore: Springer. doi:10.1007/978-981-10-4172-3_1.
  58. Ramírez C, González A.  1984. Two new amycelial Candida isolated from decayed wood in the evergreen rainy Valdivian forest of southern Chile. Mycopathologia. 88:99–103. doi:10.1007/BF00436438. [Google Scholar]
  59. Reuter M, Bell G, Greig D.  2007. Increased outbreeding in yeast in response to dispersal by an insect vector. Curr Biol. 17:R81–R83. doi:10.1016/j.cub.2006.11.059. [DOI] [PubMed] [Google Scholar]
  60. Riley R, Haridas S, Wolfe KH, Lopes MR, Hittinger CT, et al.  2016. Comparative genomics of biotechnologically important yeasts. Proc Natl Acad Sci USA. 113:9882–9887. doi:10.1073/pnas.1603941113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Robert V, Stalpers J, Boekhout T, Tan S.  2006. Yeast biodiversity and culture collections. In: Péter G., Rosa C. (eds). Biodiversity and Ecophysiology of Yeasts. The Yeast Handbook. Berlin, Heidelberg: Springer.   10.1007/3-540-30985-3_3 [DOI] [Google Scholar]
  62. Rouland-Lefèvre C.  2000. Symbiosis with fungi. In: Abe T., Bignell D.E., Higashi M. (eds). Termites: Evolution, Sociality, Symbioses, Ecology. Dordrecht: Springer. p. 289–306. doi:10.1007/978-94-017-3223-9_14.
  63. Schäfer A, Konrad R, Kuhnigk T, Kämpfer P, Hertel H, et al.  1996. Hemicellulose-degrading bacteria and yeasts from the termite gut. J Appl Bacteriol. 80:471–478. doi:10.1111/j.1365-2672.1996.tb03245.x. [DOI] [PubMed] [Google Scholar]
  64. Seppey M, Manni M, Zdobnov EM.  2019. BUSCO: assessing genome assembly and annotation completeness. Methods Mol Biol. 1962:227–245. doi:10.1007/978-1-4939-9173-0_14. [DOI] [PubMed] [Google Scholar]
  65. Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, et al.  2011. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol. 7:539.doi:10.1038/msb.2011.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Slifkin M.  2000. Tween 80 opacity test responses of various candida species. J Clin Microbiol. 38:4626–4628. doi:10.1128/jcm.38.12.4626-4628.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Smit AFA, Hubley R, Green P.  2019. RepeatMasker Open-4.1.0. http://www.repeatmasker.org/
  68. Smith SW, Speed JDM, Bukombe J, Hassan SN, Lyamuya RD, et al.  2019. Litter type and termites regulate root decomposition across contrasting savanna land-uses. Oikos. 128:596–607. doi:10.1111/oik.05697. [Google Scholar]
  69. Sørensen A, Lübeck M, Lübeck PS, Ahring BK.  2013. Fungal beta-glucosidases: a bottleneck in industrial use of lignocellulosic materials. Biomolecules. 3:612–631. doi:10.3390/biom3030612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Stanke M, Steinkamp R, Waack S, Morgenstern B.  2004. AUGUSTUS: a web server for gene finding in eukaryotes. Nucleic Acids Res. 32:W309–W312. doi:10.1093/nar/gkh379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Steensels J, Snoek T, Meersman E, Nicolino MP, Voordeckers K, et al.  2014. Improving industrial yeast strains: exploiting natural and artificial diversity. FEMS Microbiol Rev. 38:947–995. doi:10.1111/1574-6976.12073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Steenwyk JL, Rokas A.  2018. Copy number variation in fungi and its implications for wine yeast genetic diversity and adaptation. Front Microbiol. 9:288.doi:10.3389/fmicb.2018.00288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Stefanini I.  2018. Yeast-insect associations: it takes guts. Yeast. 35:315–330. doi:10.1002/yea.3309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Stefanini I, Dapporto L, Legras JL, Calabretta A, Di Paola M, et al.  2012. Role of social wasps in Saccharomyces cerevisiae ecology and evolution. Proc Natl Acad Sci USA. 109:13398–13403. doi:10.1073/pnas.1208362109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Sugimoto A, Bignell DE, MacDonald JA.  2000. Global impact of Termites on the Carbon Cycle and Atmospheric Trace Gases. In: Abe T., Bignell D.E., Higashi M. (eds) Termites: Evolution, Sociality, Symbioses, Ecology. Dordrecht: : Springer. p. 409–435. doi:10.1007/978-94-017-3223-9_19. [Google Scholar]
  76. Seemann T.. 2013. Barrnap 0.2 - Bacterial Ribosomal RNA Predictor. Barrnap(v 0.9): https://github.com/tseemann/barrnap
  77. Westblade LF, Rostad CA, Hilinski JA, Stanley T, Jerris RC, et al.  2015. Candida quercitrusa Candidemia in a 6-year-old child. J Clin Microbiol. 53:2785–2787. doi:10.1128/JCM.03657-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Woodward J, Wiseman A.  1982. Fungal and other β-d-glucosidases - Their properties and applications. Enzyme .Microb. Technol., Vol 4. p. 73–79. doi:10.1016/0141-0229(82)90084-9. [Google Scholar]
  79. Xiao M, Wang H, Lu J, Chen SCA, Kong F, et al.  2014. Three clustered cases of candidemia caused by Candida quercitrusa and mycological characteristics of this novel species. J Clin Microbiol. 52:3044–3048. doi:10.1128/JCM.00246-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Yoro DT, N'Guessan KF, Dabonne S, Kouassi NK, Koffi-Nevry R, et al.  2014. Yeast diversity in the intestinal tract of the fungus-growing termite Macrotermes subhyalinus. Int J Adv Res. 2:139. [Google Scholar]
  81. Young E, Lee SM, Alper H.  2010. Optimizing pentose utilization in yeast: the need for novel tools and approaches. Biotechnol Biofuels. 3:24.doi:10.1186/1754-6834-3-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Zhang C, Scornavacca C, Molloy EK, Mirarab S.  2020. ASTRAL-Pro: quartet-based species-tree inference despite paralogy. Mol Biol Evol. 37:3292–3307. doi:10.1093/molbev/msaa139. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

Sanger sequences of D1/D2 rDNA regions of LSU and ITS for isolate 1112, 1120, and 1118 are deposited in the GenBank under the accessions MN497060.1, MN497056.1, MN509221.1, MN497061.1, MN497057.1, and MN509222.1. Genomes of three strains are deposited in GenBank under the BioProject number PRJNA695125, and the accession numbers are JAFIDI000000000, JAFIIU000000000, and JAFIDH000000000. The strains are available as follows: B. botsteinii sp. nov. 1118T (MycoBank: 833563, CBS 16679T and IBT 710), K. quercitrusa var. comoensis 1112 (CBS 16678, IBT 709) and K. quercitrusa var. filamentosus 1120 (CBS 16680, IBT 711).

Supplementary material is available at figshare: https://doi.org/10.25387/g3.14899278. .


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