- Research article
- Open Access
Genome and transcriptome sequencing of the halophilic fungus Wallemia ichthyophaga: haloadaptations present and absent
BMC Genomics volume 14, Article number: 617 (2013)
The basidomycete Wallemia ichthyophaga from the phylogenetically distinct class Wallemiomycetes is the most halophilic fungus known to date. It requires at least 10% NaCl and thrives in saturated salt solution. To investigate the genomic basis of this exceptional phenotype, we obtained a de-novo genome sequence of the species type-strain and analysed its transcriptomic response to conditions close to the limits of its lower and upper salinity range.
The unusually compact genome is 9.6 Mb large and contains 1.67% repetitive sequences. Only 4884 predicted protein coding genes cover almost three quarters of the sequence. Of 639 differentially expressed genes, two thirds are more expressed at lower salinity. Phylogenomic analysis based on the largest dataset used to date (whole proteomes) positions Wallemiomycetes as a 250-million-year-old sister group of Agaricomycotina. Contrary to the closely related species Wallemia sebi, W. ichthyophaga appears to have lost the ability for sexual reproduction. Several protein families are significantly expanded or contracted in the genome. Among these, there are the P-type ATPase cation transporters, but not the sodium/ hydrogen exchanger family. Transcription of all but three cation transporters is not salt dependent. The analysis also reveals a significant enrichment in hydrophobins, which are cell-wall proteins with multiple cellular functions. Half of these are differentially expressed, and most contain an unusually large number of acidic amino acids. This discovery is of particular interest due to the numerous applications of hydrophobines from other fungi in industry, pharmaceutics and medicine.
W. ichthyophaga is an extremophilic specialist that shows only low levels of adaptability and genetic recombination. This is reflected in the characteristics of its genome and its transcriptomic response to salt. No unusual traits were observed in common salt-tolerance mechanisms, such as transport of inorganic ions or synthesis of compatible solutes. Instead, various data indicate a role of the cell wall of W. ichthyophaga in its response to salt. Availability of the genomic sequence is expected to facilitate further research into this unique species, and shed more light on adaptations that allow it to thrive in conditions lethal to most other eukaryotes.
Wallemia Johan-Olsen (Wallemiales, Wallemiomycetes) is a genus of cosmopolitan xerophilic fungi that are found in a wide variety of environments characterised by low water activity (aw) [1, 2]. According to the characterisation of dolipore septa [3, 4] and to molecular analysis [2, 5], Wallemia was placed in the phylum Basidiomycota. Through various studies, its inferred phylogenetic origin varied from the root of basidiomycetes , to incertae sedis, to being a sister group of the Agaricomycotina and Ustilaginomycotina  or only of the Agaricomycotina . Previously, the genus contained only one species, but it was later segregated into three species: Wallemia ichthyophaga, Wallemia sebi and Wallemia muriae.
To date, only a limited number of strains of W. ichthyophaga have been isolated from hypersaline water of solar salterns, bitterns (magnesium-rich residual solutions in salt production from sea water) and salted meat (ham: prosciutto)  (Sonjak et al., unpublished data). In addition to differences in phylogenetic DNA markers, W. ichthyophaga is also distinguished from the other two representatives of the genus by its characteristic morphology and halophilic physiology [2, 7]. Although xerotolerance is rare in the Basidiomycota, all three Wallemia spp. are among the most xerophilic fungal taxa . However, while W. sebi and W. muriae strongly prefer high concentrations of non-ionic solutes (for example sugars) over those of NaCl (although they can also tolerate up to 4.6 M and 4.3 M NaCl, respectively ), the opposite is true for W. ichthyophaga. W. ichthyophaga requires at least 1.5 M NaCl for in-vitro growth (or some other osmolyte for an equivalent aw), and it even thrives in saturated NaCl solution. It also tolerates high concentrations of other salts, such as MgCl2 (Sonjak et al., unpublished data). Such a narrow ecological amplitude is common for specialised archaeal halophiles, but in the fungal kingdom it is an exception. Even the most salt-tolerant fungal species do not normally require salt for growth, and they frequently have their growth optimum in the absence of salt. Because of this, W. ichthyophaga is a rare fungal example of an obligate extremophilic specialist , and it is considered to be the most halophilic fungus known to date.
Studies of haloadaptation mechanisms of W. ichthyophaga began relatively recently and are thus still at early stages. The fungus counterbalances the osmotic pressure caused by high concentrations of salt in the surrounding medium by intracellular accumulation of a mixture of polyols, among which glycerol is the major osmotically regulated solute (Zajc et al., unpublished data). It was previously published that W. ichthyophaga has a glycerol-3-phosphate dehydrogenase gene (WiGPD1) that encodes the key enzyme in the biosynthesis of glycerol. Its expression elevated at high concentrations of salt. Comparisons of Gpd1 from the salt-sensitive Saccharomyces cerevisiae to WiGpd1 have shown high overall amino-acid similarity; however, WiGPD1 lacks the N-terminal peroxisomal targeting (PTS2) sequence, which is important for its peroxisome localisation [10, 11]. The consequent constant cytosolic localisation of Gpd1 might thus be beneficial for organisms that live in extremely saline environments .
High-osmolarity glycerol (HOG) signalling pathway in fungi is responsible for the sensing of osmolarity changes and for the facilitation of adaptation of cells to hypersaline environment in S. cerevisiae. This is also the case in the extremely halotolerant black yeast Hortaea werneckii. Several, but not all, of the genes of this pathway have been found in the genome of W. sebi. In W. ichthyophaga the homologues of MAP kinases Hog1 have recently been studied in detail . Two homologues were found (WiHog1A and WiHog1B), but only one of them was able to complement the hog1Δ strain of S. cerevisiae and activate the HOG-responsive glycerol-3-phosphate dehydrogenase (GPD) promoter. The transcription of both genes was lowest at optimal salinity (20% NaCl), while at limiting salinities (10% and 30% NaCl) the transcription increased by at least 2- and up to 6-fold. The proteins were dephosphorylated after exposing the cells to both hypo- and hyper-osmotic shocks, a pattern opposite to that of S. cerevisiae.
High concentrations of salt trigger substantial morphological changes to W. ichthyophaga cells. These are believed to have important adaptive roles under hypersaline conditions. This fungus grows in the form of sarcina-like structures, or compact multicellular clumps . This morphology can be observed in several phylogenetically distant polyextremotolerant species, and it is believed to enhance survival in high-stress environments [15–17]. The cells have an abundant cover of extracellular polysaccharides , which have been reported to protect against desiccation in rock-inhabiting fungi , and which might also have a protective role at high salinity. Apart from an almost four-fold increase in the size of cell clumps, the most striking morphological response of W. ichthyophaga to high salinity is a three-fold thickening of the cell wall, which results in a substantially decreased functional cell volume .
In environments such as salterns, which are believed to be the primary habitat of W. ichthyophaga, the levels of toxic sodium ions (Na+) far exceed those of potassium ions (K+). Under these conditions, the cells must use a lot of energy on active transmembrane transport of ions, to maintain a stable and high intracellular K+/Na+ ratio. This is achieved by transporters that have higher affinity for K+ than for Na+ at the level of influx, by efficient efflux of toxic or surplus cations from the cells, and also by selective compartmentalisation of cations in organelles (reviewed in ). The transport systems that mediate these alkali-metal cation fluxes at both the plasma and organelle membranes function together not only to maintain K+ homeostasis and to eliminate toxic Na+ (or Li+), but also to preserve membrane potential, regulate intracellular pH, and maintain positive turgor inside the cell, which is necessary for plasma-membrane/ cell-wall expansion and cell division and to cope with osmotic stress (reviewed in ). Hence, the alkali-metal cation influx and efflux systems of these halotolerant eukaryotes are of great interest for the explanation of osmoadaptation to extremely saline environments. Nevertheless, no studies that focus on W. ichthyophaga ion transporters have been published to date.
The mating behaviour of the Wallemia spp. is also unclear. To date, no teleomorphs or fruiting bodies have been observed in any of the Wallemia spp. The existence of a single mating type locus and an almost complete set of meiosis genes encoded in the genome of W. sebi suggest the capability for sexual reproduction . However, genetic evidence for sexual reproduction in W. ichthyophaga has not yet been assessed.
Our knowledge of the mechanisms underlying the exceptional ability of W. ichthyophaga to thrive at salt concentrations that are lethal to the vast majority of eukaryotes and all but the most adapted prokaryotes is only starting to expand. This is partly due to the relatively recent taxonomic description of this species, although it is also a consequence of the significant experimental input needed for even the most basic discoveries. To alleviate this problem and to facilitate further work with W. ichthyophaga, results of de-novo sequencing of its whole genome and transcriptomes of the cells grown at two limiting salinities are presented here. The characteristics of the genome and the predicted proteome and transcriptomes are described and discussed in light of the halophilic nature of W. ichthyophaga, together with the apparent inability for sexual reproduction of this species. The phylogenetic position of Wallemiomycetes is determined with excellent support values on the basis of the whole proteome, which is the largest dataset used for this purpose, so far.
Results and discussion
Genome sequencing, assembly and gene prediction
This Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession [GenBank:APLC00000000]. The version described in this paper is the first version, [GenBank:APLC01000000]. For all genes and proteins discussed here, GenBank accession numbers are provided in the text. The total assembly size of the W. ichthyophaga genome is 9.6 Mb, and it is assembled into 101 contigs and 82 scaffolds (Table 1). This genome size is even smaller than for the closely related species W. sebi (9.8 Mb; Figure 1, Table 1) . While even smaller genomes exist (Malassezia globosa at 9.0 Mb), most basidiomycetous haploid genomes are at least twice as large, and range even up to more then 40-times larger . In line with its small size, the genome of W. ichthyophaga is very compact. It contains only 1.67% repetitive sequences, and almost three quarters of the genome is covered by the coding DNA sequences. The overall GC content is 45.35%, and it is characteristically lower in the mitochondrial DNA (Figure 2). While relatively low, this value is still higher than W. sebi, which contains only 40.01% GC. The gene density is 514 genes/ Mb scaffold, which is higher than in M. globosa (476 genes/ Mb) and only slightly lower than W. sebi (538 genes/ Mb). The absolute number of predicted proteins (4884) is also unusually small and in the range observed for Escherichia coli. For W. sebi 5284 proteins were predicted, and 4285 for M. globosa, while >10000 proteins are not uncommon in other basidomycetes). Despite the reduction in genome size and gene number the number of introns is not unusually small as is seen in some other fungi with small genomes : on average, the predicted genes contain 2.41 introns that are 61 bp long (Table 1). In other fungi the average intron densities range from just over 1.0 intron/ kb coding sequence (cds) in Schizosaccharomyces pombe to approximately 5.0 introns/ kb cds in Cryptococcus neoformans. For all of the predicted proteins, 3715 had hits in the SwissProt database (e-value cut-off, 10-6), 3278 genes were mapped in the Kyoto Encyclopaedia of Genes and Genomes (KEGG) database, and 2603 were classified in the Clusters of Orthologous Groups (COG) database (Additional file 1: Figures S1 and S2).
Alignment of the whole genomic sequence with the genome of W. sebi reveals long syntenic regions (Figure 3A). According to BLASTp analysis (e-value cut-off, 10-6), 93.9% of the proteins from W. ichthyophaga have homologues in the proteome of W. sebi (Figure 3B). Among unique proteins, only a quarter can be classified into at least one protein family, according to the Pfam database (Figure 3C). The large overlap between these species is not surprising given their close phylogenetic proximity. Both of these fungi were originally classified as W. sebi, until this species was segregated into W. ichthyophaga, W. sebi and W. muriae, based on differences in conidial size, xerotolerance, and sequence data . Proteins present in W. ichthyophaga but absent in W. sebi include several proteins related to DNA processing and DNA damage: two 5’-3’ exoribonucleases [GenBank:EOR04230, GenBank:EOQ98776]; a telomerase reverse transcriptase [GenBank:EOR00183]; a DNA repair protein RAD50 [GenBank:EOR01216] and a DNA polymerase similar to mu polymerase [GenBank:EOR02079], both of which are involved in non-homologous end joining repair; an ATP-dependent DNA helicase [GenBank:EOR02849]; and a DNA damage-inducible protein 1 [GenBank:EOR00413]. Non-homologous recombination may offer W. ichthyophaga an additional mode of mitotic recombination, which would be important in light of the fact that this species (contrary to W. sebi) appears to be incapable of meiosis and sexual reproduction, as discussed below.
Phylogenetic position of Wallemiomycetes
The phylogenetic position of Wallemiomycetes in published studies has been determined as at the base of Basidiomycota, as a sister group to either Agaricomycotina or Ustilaginomycotina or both, or simply as incertae sedis within Basidiomycota [2, 4–6]. However, these analyses used only limited sets of genes or proteins. In the present study, the whole proteomes of 14 fungi were aligned, and the resulting phylogeny resolved the position of the Wallemia spp. as a sister group to (or the earliest diverging lineage of) Agaricomycotina (Figure 1). This also supports Pucciniomycotina as the earliest diverging lineage within the Basidiomycota analysed. These results are in agreement with phylogenetic positioning of W. sebi published by Padamsee et al. .
Previously published calibration points were used to construct the chronogram : Rhizopus oryzae–Dykaria split 495 million years ago (mya), Ascomycota–Basidiomycota split 452 mya, Pezizomycotina crown 215 mya, Basidomycota crown 340 mya. Under these assumptions, the split between W. ichthyophaga and W. sebi is estimated as 11.9 mya, and that between Wallemiomycetes and Agaricomycotina as 250 mya. As the calibration of the fungal tree of life remains uncertain due to scarcity and poor preservation of fossil material, these values can only be considered as rough estimates.
Expansions and contractions of the protein families
Of the predicted proteins, 3924 (80.3%) contain at least one of the 2678 Pfam domains in W. ichthyophaga (Additional file 2: Table S1). Among the families represented by the most proteins, there are several connected to transport functions in the cell: e.g., major facilitator family (PF07690), mitochondrial carriers (PF00153), ABC transporters (PF00005, PF00664) and others (PF00083). Seven protein families are significantly expanded and 19 are contracted in W. ichthyophaga, while 17 are significantly changed in the predicted last common ancestor of W. ichthyophaga and W. sebi (Additional file 3: Table S2). Among the proteins that are enriched, there are hydrophobins (PF01185; Figure 4A) and P-type ATPases (PF00690; Figure 4B).
The hydrophobins are cell-wall proteins that are secreted by filamentous fungi and have roles in a broad range of processes in growth and development . Hydrophobins are characterised by their small size (≤20 kDa) and amphipathic nature, with their hydrophobic and hydrophilic domains . There are multiple hydrophobin genes in the genome of individual fungi, due to possibly different functional roles or differential expression, or to different environmental conditions or developmental stages. In the predicted last common ancestor of W. ichthyophaga and W. sebi, 15 hydrophobins are estimated. A significant enrichment of the hydrophobin protein family occurred in W. ichthyophaga (to 26 representatives), and on the contrary, a significant contraction occurred in W. sebi (to 12 representatives; Figure 4A). Among all of the protein family expansions in W. ichthopyhaga, this is the most significant.
As previously shown , and as can be seen from our multiple sequence alignment of all of the hydrophobins from the list of basidiomycetous species analysed (Figure 5B, bottom), the DNA sequence similarities for the different hydrophobins are usually low between the different species. The most important feature of the primary sequence, which is common to all hydrophobins, is the characteristic pattern of conserved spacing of eight cysteine residues that form four disulphide bridges [26, 27]. These are also conserved in the hydrophobins of W. ichthyophaga. Interestingly, the hydrophobins of W. ichthyophaga and its closest relative W. sebi are similar, and they share a large fraction of conserved positions of their amino acids (Figure 5B, bottom). They also both contain a high proportion of acidic amino acids, as compared to other fungi (Figure 5B, top). Higher proportion of acidic amino-acids is characteristic of proteins exposed to high concentrations of salt as has been noted in halophilic proteins of Archaea . As hydrophobins are likely to be directly exposed to the external high concentrations of NaCl in W. ichthyophaga, the unusually high proportion of acidic amino acids is not surprising. Acidic amino acids on a protein surface enable the binding of large amount of salts and water under solvent conditions, and in this way they maintain soluble and active conformations in an environment that is generally detrimental to other proteins . Moreover, it has been shown that halophilic proteins are characterised by low hydrophobicity and under-representation of cysteines . Therefore, it is interesting that halophilic hydrophobins have at least moderate levels of hydrophobicity and are cysteine rich, although, at the same time, they show salinity-biased amino-acid compositions.
The property of the hydrophobins to spontaneously assemble at hydrophobic–hydrophilic interfaces to form amphipathic monolayers governs their diverse functions in the growth and development of filamentous fungi. For instance, the hydrophobins allow these cells to breach the air–water interface, prevent water-logging while maintaining permeability to gaseous exchange, enable attachment to hydrophobic surfaces, modify the movement of solutes across the cell wall, and give strength and rigidity to the cell wall [25, 31]. Some of these functions would also be beneficial in hypersaline environments. Modulation of cell wall permeability could be of great importance in an environment where toxic salt ions are constantly leaking into the cell, while strengthening and rigidifying the cell wall would be useful during changes of environmental osmolarity. Given that certain hydrophobins are responsible for microconidial chain formation in Fusarium verticillioides, hydrophobins in W. ichthyophaga might additionally be involved in the aggregation of these cells into compact clumps, as is characteristic of this fungus. Formation of meristematic clumps is observed as a stress-response in many unrelated halotolerant fungi . Both the changes in the cell wall and the formation of multicellular structures are reported to be among the main adaptations of W. ichthyophaga to hypersaline environments .
Over the last few years, the hydrophobins have received a lot of attention from biotechnologists. Their ability to reverse the hydrophilic–hydrophobic character of a surface and/or their surfactant capacity has many potential applications. They can be used as surfactants and emulsifiers in food processing, in anti-fouling coatings, surface coating of biomaterials, such as surgical instruments and medical implants, and immobilisation of various substances. They might even have a role as functional coatings of drug nanoparticles ([26, 27, 33]. The differences in the amino-acid compositions of the hydrophobins from the halophilic W. ichthyophaga (and especially the high number of acidic amino acids) might give these proteins unique properties. These are well worth investigating too, as they might expand the scenarios of hydrophobin use in novel applications or in known applications under specific conditions, such as those with high salt concentrations.
Transporters of alkali metal cations
The significant enrichment in W. ichthyophaga of the protein family of cation-transporting ATPases (PF00690) might contribute to its halophilic ecotype. This protein family of cation proteins is represented by three H+ and two Na+ P-type ATPases in the plasma membrane, one of each of the two groups of Ca2+ P-type ATPases in vacuoles (Pmc1) and the Golgi apparatus (Pmr1), and a protein with unknown specificity (Figure 5A, Table 2).
In the extensively studied model of yeast S. cerevisiae, the two H+-exporting P-type (Pma1, 2) and several Na+-exporting Ena ATPases (i.e., exitus natru: exit of Na+), are crucial for the maintenance of homeostasis of intracellular K+ and Na+. In S. cerevisiae, Pma pumps are the most abundant plasma-membrane protein. These consume at least 20% of the cellular ATP , to generate the electrochemical gradient of H+ across the plasma membrane, which is indispensable for all secondary active symporters and antiporters . The W. ichthyophaga genome encodes three putative Pma proton pumps [GenBank:EOR02126, GenBank:EOR02128, GenBank:EOR00565], which are highly similar to the only two Pma ATPases from W. sebi (over 91% identity).
The maintenance of low concentrations of toxic Na+ occurs via two types of Na+ efflux systems in the plasma membrane. Ena P-type ATPases couple the hydrolysis of ATP to the export of Na+ (or K+) against the electrochemical gradient, while Nha antiporters export Na+ by using the transmembrane H+ gradient. These systems have complementary functions: Ena ATPases are more important at high pH, which does not allow for the correct functioning of Nha antiporters. In S. cerevisiae the ENA cluster, particularly ENA1, is a major determinant of salt tolerance in this yeast (reviewed in ). The two Ena ATPases of W. ichthyophaga [GenBank:EOR00553, GenBank:EOR04078] are 92% identical and are particularly different from ScENA1 (36% and 37% identity). Interestingly, in W. sebi, there is only one ENA ATPase.
P-type ATPases are not the only ones responsible for the maintenance of the cellular ion homeostasis. A variety of other secondary active transporters contribute to keeping the intracellular concentrations of highly toxic Na+ low, while at the same time maintaining a constant level of K+. These tasks are particularly problematic in the environments predominated by the high concentrations of Na+. By searching the genome of W. ichthyophaga for homologues of known transporters from S. cerevisiae and unconventional yeast , we identified several plasma-membrane (Nha1, Trk1, Pho89, Ena and Pma) and intracellular (Kha1, Pmr1, Nhx1, Vnx1, Vma1, Pmc1, Mrs7/Mdm37) homologues, as summarised in Table 2. Apart from the above mentioned enrichment of Ena and Pma transporters the number of other genes does not differ from the numbers of genes found in the less halotolerant W. sebi. Wallemia ichthyophaga therefore appears to be using a different salt-combating strategy then the extremely halotolerant ascomycete H. werneckii. A recent genome analysis in that case revealed significantly increased numbers of most of the alkali cation transporters . For example, H. werneckii contains eight inward K+ (Trk) transporters and four outward (Tok) K+ channels (only one Trk and no Tok homologues are found in W. ichthyophaga), eight Nha Na+(K+) proton antiporters (two in W. ichthyophaga), and six Pho89 Na+/Pi symporters (only one in W. ichthyophaga) .
In addition to passive K+ channels active processes for K+ import may be beneficial in hypersaline environments. These can be carried out by K+(Na+)-ATPase (alkali cation uptake, Acu, transporters) or K+-H+symporter (Hak symporters) [36, 38]. While no Hak homologues are identified in W. ichthyophaga, there are two possible homologues of the otherwise rare Acu ATPases [GenBank:EOQ99826, GenBank:EOR03958], one of which has a clearly recognisable P-type ATPase PF00690 domain.
Intracellular transporters comprise mainly membrane alkali metal cation/ H+ antiporters of the vacuole (Vnx1), endosomes (Nhx1), and Golgi apparatus (Kha1), and also a mitochondrial membrane crucial K+/H+ antiport exchange mechanism (Mdm38 or Mrs7) . All of these intracellular transporters have also been identified in the W. ichthyophaga proteome, with all at one copy number except for Kha1, which is present as two copies.
Low numbers of transporters in the proteome of W. ichthyophaga and the absence of specific transporters may be connected to life at constant (albeit high) salinity. The absence of, for example, the outward K+ channel Tok, may be harmless if the organism is not exposed to severe hypoosmotic shocks and the subsequent need to quickly release the surplus K+. Furthermore, continuous removal and/or compartmentalization of sodium in these conditions might not even be feasible due to the high ATP demand. The opposite is true for H. werneckii, which can efficiently adapt to a whole range of salinities and contains an abundance of both inward and outward K+ channels.
In contrast to the alkali-metal ion transporters, there are statistically significant contractions for several proteins that are involved in transport of other molecules (Figure 4C-E). Major facilitator superfamily transporters (Figure 4C) are the largest family of secondary transporters, with their wide substrate specificity ranging from ions to carbohydrates, lipids, amino acids and peptides, nucleosides and other molecules . Amino-acid permeases and transporter proteins (Figure 4D) facilitate the cellular uptake of amino acids. Finally, ATP binding cassette (ABC) transporters (Figure 4E) are one of the largest protein superfamilies . Both the ABC and the major facilitator superfamily transporters have been extensively studied due to their roles in the development of multidrug resistance in fungal pathogens and tumour cells. Together, they account for approximately half of all of the genes that encode transporters in fungal genomes . The contraction of both families might indicate that in its environment, W. ichthyophaga experiences reduced need for this type of defence against internally produced or external toxins. This latter might be caused by the limited competition with other species, due to the extreme salinity conditions that are preferred by W. ichthyophaga. On the other hand, the structure and composition of its unusually thick cell wall that is formed as a response to the high salt concentrations might limit the diffusion of problematic compounds before they even reach the plasma membrane. However, proteins of both superfamilies also have numerous functions other than the export of toxins . Their loss may thus be the consequence of other factors as well, such as little need to export secondary metabolites or to sequester heavy metals, nutritional specialisation for a limited number of substrates or even avoidance of accidental export of osmoprotectants by transporters with broad specificity.
Genes involved in management of compatible solutes
W. ichthyophaga contains genes for several proteins involved in the synthesis and accumulation of the compatible solutes. All of them except Gpp (glycerol-3-phosphatase) are present in more then one copy. Key enzymes for the biosynthesis of three polyols, which are present in W. ichthyophaga cells (Zajc et al., unpublished data) were identified: glycerol, arabitol and mannitol. Glycerol is synthesized from dihydroxyacetone phosphate, glycolitic intermediate, via two reaction steps catalyzed by (NAD)-dependent glycerol-3-phosphate dehydrogenase (Gpd) and glycerol-3-phosphatase (Gpp) . As previously shown W. ichthyophaga contains a GPD1 homologue, WiGPD1 [EMBL:FR686467, GenBank:EOR01876], the expression of which is salt-induced . A second homologue was found by searching the genome [GenBank: EOR02702]. Expectedly, Gpp [GenBank:EOR02702] and both copies of Gpd are well conserved.
The synthesis of D-mannitol could be perfomed from fructose via a reduction step catalyzed by two NADP-dependent mannitol dehydrogenases [GenBank:EOR01463, GenBank:EOQ99146] as was previously described also for the basidiomycete Agaricus bisporus. In fungi arabitol is produced from D-ribulose-5-phosphate, an intermediate of pentose phosphate pathway, by two D-arabinitol-2-dehydrogenases (homologues in W. ichthyophaga are [GenBank:EOR02008, GenBank:EOQ98686]). Homologues of these enzymes were identified also in W. sebi (in even more copies): four mannitol dehydrogenases and three D-arabinitol-2-dehydrogenases.
When the cells of S. cerevisiae are subjected to hyperosmotic shock, leaking of glycerol is counteracted by active import. This is performed by glycerol/ proton symporters of the plasma membrane, Stl1 . In these conditions the aquaglyceroporin channel Fps1 is closed. It opens during a hypoosmotic shock and thus allows quick glycerol expulsion . In W. ichthyophaga four homologues of Stl1 were found [GenBank:EOR04223, GenBank:EOQ99617, GenBank:EOR01226, GenBank:EOR01982], as well as three aquaglyceroporin related proteins [GenBank:EOR00599, GenBank:EOR04990, GenBank:EOQ99141]. W. sebi contains the same number of homologues, all of them highly similar to those of W. ichthyophaga.
Mating and meiosis genes
In organisms that show no observable behavioural and morphological traits that are characteristic of sexual reproduction, searching for the mating and meiosis homologues in the genome can shed some light on their reproductive cycles . In basidomycetous fungi sexual reproduction is genetically governed by a tetrapolar MAT locus with pheromone/ pheromone receptors and homeodomain (HD)-containing transcription factors encoded by two unlinked loci. The MAT loci have expanded in some cases, and in others they have fused, which results in a tetrapolar-to-bipolar transition .
BLASTp searches of homeodomain protein sequences from different basidiomycetous fungi in the proteome of W. ichthyophaga identified five genes that encode putative HD-motif transcription factors located on different scaffolds [GenBank:EOR04835, GenBank:EOR03936, GenBank:EOR03899, GenBank:EOR01329, GenBank:EOQ99399]. Only one of these, EOR03899 (hypothetical WiSxi1) was similar (e-value, 10-5) to the HD genes involved in mating in basidiomycetes, as shown by the comparison of the W. ichthyophaga HD proteins against GenBank. It [GenBank:EOR03899] is most similar to Sxi1D alpha from Cryptococcus neoformans var. neoformans [GenBank:ABR67867]. Together with Sxi2a, Sxi1D is required for the initiation of dikaryon formation in C. neoformans. In addition, BLASTp searches for pheromone response factors reveal three putative mating-related DNA-binding proteins with high-mobility group (HMG-box) domains [GenBank:EOR04027, GenBank:EOQ98813, GenBank:EOQ98831]. All three of these are somewhat similar to basidiomyceteous HMG-box transcription factors (most similar to the HMG-box transcription factor from Ustilago hordei [GenBank:CCF49140]; e-value approx. 10-13). No discernible MAT locus was identified. Furthermore, no pheromone receptors or pheromone precursors were found.
The results of the investigation of the proteome of W. ichthyophaga for the meiosis-specific genes  also suggest that W. ichthyophaga cannot outcross. Only three (putative Dmc1, Mer3 and Msh4; e-values, <10-40) out of eight meiosis-specific homologues were identified in W. ichthyophaga, meaning that it does not have a complete set of meiotic machinery. Since the presence of a representative set of meiotic genes provides strong inferences about meiosis and sex , it appears that W. ichthyophaga is incapable of sexual reproduction. This is in agreement with the fact that there are no reports on sexual reproduction for this species in the existing literature.
Contrary to this, in the closely related W. sebi the two mating-type genes are located near to each other (Sxi1 and Ste3 pheromone receptor homologue; ~20 kb apart) . The inspection of the region between these two genes identified two other putative mating-type genes; a pheromone and a transcription factor that encodes a HMG DNA-binding motif. In addition, the genome of W. sebi contains a near-complete set of meiosis genes, which lacks only the homologue of Hop1. Therefore, it appears that W. sebi is capable of sexual reproduction, although this part of its life cycle remains cryptic. It appears to have a bipolar mating system with two mating types, analogous to some other Basidiomycota .
The lack of sexual reproduction in W. ichthyophaga is not entirely surprising. In stable extreme environments, asexual reproduction might be advantageous, as it avoids the energy expenditure needed for producing gametes and attractants. Strict asexuality in specialised and adapted local populations would also help in the preservation of well-adapted genomic configurations . Without sexuality, genetic drift can rapidly fix alleles in fragmented small populations that are adapted to the extreme habitats. These might all contribute to the mainly mitotic life style that many extremophilic fungal species have .
Transcriptome of Wallemia ichthyophaga at limiting salinities
Mapping more than 50 million EST sequences to the W. ichthyophaga genome aligned 83.96% and 83.70% of reads (transcriptome grown at 10% and 30% NaCl (w/v), respectively; Additional file 4: Table S3). Of these, over 99% matched to unique locations in the genome. At each salinity, approximately 95% of the predicted genes were more than 90% covered by the ESTs (Additional file 1: Figure S3), which indicates the high quality of the sequencing and mapping.
Changes in salinity have been reported to trigger drastic remodelling of the transcriptome of S. cerevisiae. However, many of these changes are only transient, and they soon return to near basal levels , which indicates that they are not involved in long-term survival at high salt concentrations. On the other hand cDNA subtraction analysis of H. werneckii cells adapted to 17% and 25% NaCl revealed a long-term differential expression of 95 genes. More then one third of them were shown to interact with the high osmolarity glycerol pathway . Our purpose was therefore not to investigate the temporary transcriptional perturbations of W. ichthyophaga under osmotic stress, but the transcriptome differences in cells growing at the lower and upper salinity limits that are tolerated by W. ichthyophaga. Of the total 4884 genes in W. ichthyophaga, 639 (13.1%) were differentially expressed when compared across the transcriptomes of cells grown at these salinities. The number of genes with increased expression was twice as high (425) at lower salinity compared to higher salinity (214; Figure 6A and Additional file 5: Table S4). Of these, 72% and 79% (low and high salinity, respectively) were matched to at least one Pfam family (Figure 6C). Around 200 novel transcripts were predicted at each salinity (Figure 6B). Twelve KEGG pathways had significantly higher proportions of differentially expressed genes than expected (Additional file 6: Table S5).
Alternative splicing was observed for 730 genes (15.0%), and for 51.6% of these, this occurred only at one of the limiting salinities. The majority of cases were identified as intron retentions, followed by alternative 3’, and then 5’, splicing (Figure 6D). Only one instance of exon skipping was detected. Such a distribution of alternative splicing modes is in agreement with observations from other fungi , where alternative splicing levels are generally much lower than in plant or human cells. While it is not possible to directly compare the values observed in other species , the around 700 events observed in W. ichthyophaga at each salinity was not outstanding (Additional file 1: Figure S4). Nevertheless, due to the small number of genes, the number of alternative splicing events per gene is close to the highest values observed in other species .
Transmembrane alkali-metal cation transporters are among the most important proteins in hypersaline environments . Although hardly any studies have been performed on cells grown at constant salinities rather than those exposed to salinity shock, it has been noted that in S. cerevisiae, some groups of metal-cation transporters are expressed constitutively, while others have complex salt-responsive transcriptional regulation (e.g., P-type sodium ATPase Ena1 ). In the halotolerant ascomycetes H. werneckii and Debaryomyces hansenii, the expression of P-type H+ and Na+ ATPases is salt dependent, even when adapted to constant salinity [37, 54, 55]. It was therefore unexpected that the expression of most of the genes encoding metal-cation transporters was not affected by growth at 10% NaCl or 30% NaCl (w/v). Only three genes fulfilled the criteria for differential expression: [GenBank:EOR00619, GenBank:EOR04078, GenBank:EOR03958].
The first of these, EOR00619, was more expressed at high salinity (log2 ratio of expressions, 1.52), and it is a putative Na+/ phosphate symporter (homologue of Pho89). Pho89 is the only Na+-coupled secondary anion transport system in S. cerevisiae, and it is strongly induced at alkaline pH . Since in such environment the use of a transmembrane proton gradient to drive secondary transporters is hindered, Na + gradient could serve as an alternative source of energy. The possible role of this transporter in hypersaline conditions was also noted in H. werneckii, which contains six copies of its gene . Our results might indicate that W. ichthyophaga cells use this energy even under conditions of low pH, since the pH in the laboratory medium falls below 4 already in the exponential growth phase. The expression of [GenBank:EOR04078] (a putative P-type Na+ ATPase), and [GenBank:EOR03958] (a P-type ATPase of unknown specificity, possibly an Acu K+ importer), was higher at low salinity (log2 ratios, 1.00, 1.27, respectively). While the differences in expression are relatively small, these findings are difficult to explain.
All of the other transporters remained unaffected by the difference in salinity. Furthermore, their expression was relatively low. For example, when genes were ordered by their expression at high salinity, the two Na+-exporting P-type ATPases were in positions 3812 and 4613 of the total of 4884 predicted proteins, while two Na+/H+ antiporters were at 2075 and 3927 (Additional file 5: Table S4). Among the first 400 of the most-expressed proteins, there were only various subunits of the P-type H+-transporting ATPase, and a putative arsenite transporter [GenBank:EIM21938]. None of these were differentially expressed.
It has to be noted that the sequencing of the transcriptome will only reveal regulation at the level of transcription and mRNA stability. This cannot provide any indication about other possible modes of posttranscriptional control. Additionally, the functions of the genes analysed might be complemented by unconventional transporters that have not yet been identified. On the other hand, the apparent non-responsiveness of transporters might be just one of the aspects of the ecological strategy of W. ichthyophaga, a species that has evolved into a unique example of a narrowly specialised fungal halophile . The observed absence of transcriptional response might explain the unusual inability of W. ichthyophaga to grow without salt.
Nevertheless, the transcription of some other genes responds to changes in salinity, among them also the above discussed hydrophobins. Half of these genes are differentially expressed (Figure 6E). It is interesting to note that some of these are more expressed at high salinity, and some at low salinity. Furthermore, there was no association between their expression profiles and isoelectric points, or the numbers of acidic amino acids. As was previously noted, the presence of multiple hydrophobin genes in an organism might be due to their different expression profiles at different developmental stages or under different environmental conditions, or to their different functional roles that are reflected in structural differences .
Among the most differentially expressed at low salinity, with log2 ratios of −9.19 and −3.34, were two expansin-like proteins of W. ichthyophaga [GenBank:EOR02784, GenBank:EOR03994]. These genes are distantly related to the plant expansins, through the presence of the double-psi beta-barrel domain and signal peptide . Expansins loosen the cell wall by disrupting the non-covalent bonds between cellulose microfibrils and matrix polymers through a non-enzymatic mechanism . This activity was recently shown also for a fungal expansin-like protein from Bjerkandera adusta. As hydrophobins these proteins may also be linked to the cell wall and possibly play a role in major changes in the cell wall of W. ichthyophaga at different salinities, which were mentioned earlier.
Thirty-four genes showed both high expression (RPKM >300 for at least one salinity, with RPKM indicating the number of reads which map per kilobase of the exon model per million mapped reads) and large differences in expression between the two salinities (absolute log2 ratio >2; Additional file 7: Table S6). Eight proteins with higher expression at high salinity included enzymes involved in the degradation of lipids ([GenBank:EOQ99895], a lipase) and their use in gluconeogenesis ([GenBank:EOR01390], an isocitrate lyase that enables synthesis of glucose from acetyl-CoA; and EOR04235, phosphoenolpyruvate carboxykinase, which catalyses the rate-limiting step of gluconeogenesis). In contrast at the lower salinity there was a higher expression of a phosphoglycerate mutase-like protein ([GenBank:EOR03927], involved in the eighth step of glycolysis), glycoside hydrolase [GenBank:EOQ98927], and a protein highly similar to fatty-acyl-CoA synthase from W. sebi [GenBank:EOQ99675]. This possibly indicates that at lower salinity, the metabolism is directed from carbohydrates to lipids, while the opposite is true at higher salinity. Among other genes of interest is an elevated expression of a stress-response protein, Rds1 [GenBank:EOR00712] at high salinty and of a tyrosinase-like protein [GenBank:EOR01004] at low salinity. The latter is one of three homologues in the genome (in addition to [GenBank:EOR00580, GenBank:EOR00979]). Tyrosinases are involved in melanin synthesis, a stress-protective pigment, which can also play a role in adaptation to hypersaline environment . Nevertheless, it has to be noted that no melanin pigments have been reported to date in Wallemia spp., only a number of different pyrrolylpolyenes .
A list of all differentially expressed genes is available in Additional file 7: Table S6.
It is believed that low levels of adaptability and genetic recombination are important in the survival strategy of W. ichthyophaga. The extreme specialisation of W. ichthyophaga indicates that it has adapted to a relatively stable hypersaline environment where competition from other species is scarce. This allows W. ichthyophaga to survive despite its relatively long generation times, its inability to grow without salt, and its lack of sexual reproduction. The characteristics of its genome and its transcriptomic response to salt confirm these findings. The genome and the number of predicted genes are among the smallest observed for fungi. Intriguingly, analysis of the genome also shows that it is possible to survive and grow in solutions saturated with NaCl with relatively small numbers of ion-transporter genes and although their transcription is relatively low and non-responsive to different salt concentrations.
A long-term survival strategy, where persistence is more important than rapid reproduction, good adaptability or competition for resources, will favour energy-efficient passive barriers against harmful effects of high salt concentrations. Previous morphological studies have reported the unusually thick cell wall of W. ichthyophaga, which could be one such mechanism . Hydrophobins, proteins with multiple cellular functions, might also have important roles in fortifying the cell wall of W. ichthyophaga against the hostile environment, as indicated by genomic and transcriptomic analyses. This is especially so, as their unusually high proportion of acidic amino acids is a phenomenon that is a known characteristic of halophilic proteins from other organisms.
The peculiar lifestyle of W. ichthyophaga has had ample time to evolve. According to our estimates, 250 million years have passed since the ancestor of Wallemiomycetes separated from the ancestor of the contemporary Agaricomycotina, the closest known relative of Wallemia spp. The distinct characteristics of W. ichthyophaga make it a very interesting organism for studies of adaptation to hypersaline environments, which are different from those that have evolved in other species. The availability of its genomic sequence should be of significant help in such studies. At the same time, as shown with the findings of the unusual hydrophobins, it can also lead to the discovery of molecules that evolved along different evolutionary trajectory than their homologues from other species, and thus have novel traits that might be of interest in biotechnology and other fields.
Strain and DNA/RNA preparation
The W. icththyophaga (type strain EXF-994) used in this study was isolated from extremely saline water of Sečovlje solar saltern (Adriatic coast, Slovenia) and is preserved in the culture collections of the Department of Biology, Biotechnical Faculty, University of Ljubljana (EXF). The cells of W. ichthyophaga were grown at 24°C on a rotary shaker (180 rpm) in defined YNB medium (ForMedium, UK): 0.17% (w/v) yeast nitrogen base, 0.08% (w/v) complete supplement mixture (both Qbiogene), 0.5% (w/v) ammonium sulphate, 2.0% (w/v) glucose, in deionised water, with pH adjusted to 7.0 and supplemented with NaCl to 10%, 20% and 30% NaCl (w/v).
Growth was monitored by measuring the pH of the medium. The cells of mid-exponential cultures (pH 4.0) were harvested by centrifugation (4000× g; 10 min), frozen in liquid nitrogen, and homogenised using a pestle and mortar.
Highly purified fungal genomic DNA was isolated from mid-exponential cells grown in YNB media with 20% (w/v) NaCl, using the phenol/ chloroform/ isoamyl alcohol method, modified for DNA isolation from filamentous fungi, as described previously . The quality and quantity of the DNA was evaluated on standard 1% agarose gel electrophoresis, as well as spectrophotometrically with NanoDrop 2000 (Thermo Fisher Scientific, USA).
The RNA of the W. ichthyophaga cells grown at 10% and 30% NaCl was isolated using the TRI Reagent (Sigma-Aldrich, Germany), according to the manufacturer instructions. Possible DNA contamination was degraded with DNAse I (Thermo Fisher Scientific - Fermentas, Lithuania), and the integrity and purity of the RNA was evaluated spectrophotometrically and by capillary electrophoresis (Agilent 2100 Bioanalyser; Agilent Technologies, USA).
Genome sequencing and assembly
From the genomic DNA of W. ichthyophaga, 500 bp and 2000 bp DNA sequencing libraries were constructed using 10 μg and 20 μg DNA, respectively. A total of 1.89 Gb and 1.80 Gb reads were generated by Illumina Hiseq™ 2000 at BGI-Shenzhen (Shenzhen, China). To ensure the accuracy of assembly, reads with 40 low-quality (≤Q2) bases, or 10% Ns, or 15 bp overlap between adapter and duplications were filtered. The short reads from the two libraries were assembled by SOAPdenovo 1.04 [62, 63], with optimal assembly acquired with the key parameter K = 21.
Gene prediction and annotation
The prediction of the genes was made by determining the putative open reading frames with GeneMark-ES 2.3e . Repeat sequences were identified by Repeat Masker version 3.3.0 with Repbase version 15.08, and the following parameters: -no_is, -norna, -engine, -s, -parallel = 1; and Repeat Protein Mask with parameters: -noLowSimple, -pvalue = 1e-4 . Tandem repeats were found using the Tandem Repeat Finder software 4.04 . Non-coding RNA was predicted by rRNAmmer 1.2, tRNAscan-SE 1.23, and Rfam 10.1. The protein-encoding genes were annotated through BLASTp searches in the KEGG (release: 55.1 2010-09-01) and COG (release: 20090331) databases, at the threshold e-value ≤1× e-10, and the best hit was filtered using a 50% identity cut-off value.
cDNA Library construction, and sequencing
The cDNA library was constructed using 40 μg RNA for each of the two salinity samples. In short, beads with oligo(dT) were used to enrich poly(A) mRNA, which was then disrupted into short fragments of 200 nt to 700 nt. These were used as first-strand cDNA templates synthesised by using random hexamer primer. The second-strand cDNA was synthesised by adding buffer, dNTPs, RNaseH and DNA polymerase I. The cDNA library was purified using QiaQuick PCR extraction kits and resolved in elution buffer for end repair and adding poly(A). Finally, cDNA fragments were ligated with sequencing adaptors and fragments of 200 bp (±25 bp) were selected for the PCR amplification. The two constructed cDNA libraries were sequenced by Illumina Hiseq™ 2000 at BGI-Shenzhen (Shenzhen, China).
Trancriptome data processing, alternative splicing and novel transcript predictions
Raw data generated by the sequencer were converted to raw nucleotide reads with Illumina GA Pipeline 1.6. The clean reads were acquired by the removal of the adaptor and the low quality reads (Q ≤5), and they were mapped to the genome and gene sequences of W. ichthyophaga. This was done using the SOAPaligner/soap2 2.20 . Up to five base mismatches were allowed.
The TopHat read-mapping algorithm  that does not rely on known splice sites was used to find splice junction sites of transcripts. This provided the information relating to the combinations of different exons of the individual transcripts, so that four basic types of alternative splicing events were distinguished (exon skipping, intron retention, alternative 5’ splicing, and alternative 3’ splicing). Candidates for novel transcripts were assigned all of the gene models in intergenic regions from 200 bp upstream or downstream from a gene with a length >150 bp and an average coverage >2.
Graphical representation of the genome and comparison with Wallemia sebi
Graphical representation of the genome was constructed with the Circos software version 0.62 . The GC content was calculated in 1000 bp windows with gccount from Control-FREEC package 5.9 . Repetitive sequences were identified with RepeatMasker 3.3.0  with Fungi used as the model for analysis. Gene duplications were detected by aligning predicted proteins back to the genome with Exonerate 2.2.0 using the protein2genome model  and limiting the reported hits to those above the 50% maximal score obtainable for that query. The number of hits was counted for each query.
The whole genome alignment between W. ichthyophaga and the publicly available genome of W. sebi was calculated with the promer algorithm as implemented in Mummer 3.23 and plotted with mummerplot utility . All parameters were the same as described in  except that instead of discarding scaffolds less than 500 kbp only scaffolds less than 200 kbp were discarded.
The numbers of shared and unique proteins of W. ichthyophaga and W. sebi were determined by an all-against-all blast of their whole proteomes (e-value cut-off, 10-6).
A super alignment of the fungal proteomes was constructed with the Hal pipeline , allowing for no missing data. As well as W. ichthyophaga and W. sebi, several other publicly available proteomes were included. The following were obtained from the Broad Institute of MIT and Harvard (http://www.broad.mit.edu): Coprinopsis cinerea (Coprinopsis cinerea Sequencing Project); Cryptococcus neoformans (Cryptococcus neoformans var. grubii H99 Sequencing Project); Ustilago maydis (Ustilago maydis Sequencing Project); Puccinia graminis (Puccinia Group Sequencing Project); Candida albicans (Candida Sequencing Project); Aspergillus nidulans (Aspergillus Comparative Sequencing Project); Neurospora crassa (Neurospora crassa Sequencing Project); Rhizopus oryzae (Rhizopus oryzae Sequencing Project). The other proteomes were Saccharomyces cerevisiae (SGD project. http://www.yeastgenome.org/download-data/ (28.1.2013)); Rhodotorula graminis; Agaricus bisporus; and Malassezia globosa (Procter & Gamble: http://www.pgbeautygroomingscience.com/dandruff-genome.html/ (28.1.2013).
Conservative alignment (118776 bp) was used to estimate the best protein evolution model with ProtTest 3.2.1 . The species tree was generated with the PhyML 3.0 software  with aLRT implementation, for the calculation of branch supports as Chi2 based support. The analysis was run using the LG model of evolution. The ProtTest estimate of the alpha parameter of the gamma distribution of six substitution rate categories (1.136) and the determined proportion of invariable sites (0.094) were used. The tree was then calibrated with r8s software , using four previously published calibration points : Rhizopus oryzae–Dykaria split 495 mya, Ascomycota–Basidiomycota split 452 mya, Pezizomycotina crown 215 mya, Basidomycota crown 340 mya.
Protein sequences containing the Pfam domain PF00690 (P-type ATPase) were aligned using the L-INS-i method in the MAFFT software . The gene tree was generated with the PhyML 3.0 software  with aLRT implementation, for the calculation of branch supports as Chi2 based support. The LG model of protein evolution was used, together with the alpha parameter of gamma distribution of six substitution rate categories (0.988) and the determined proportion of invariable sites (0.008), as estimated by ProtTest 3.2.1 . A second tree (for comparison purposes, not shown) was generated by applying a maximum parsimony method as implemented in the Mega software version 5.05 .
Evolution of protein families
Analysis of protein family expansions and contractions was performed with the CAFE software . Pfam domains of selected fungal proteomes were identified with a stand-alone Pfam scanner and a database downloaded on 30.1.2013 . This was used to produce a Table of Pfam domains, which was used as input of CAFE, together with the chronogram constructed from the whole proteomes, as described above.
Proteins containing the hydrophobin Pfam domain (PF01185.13) were aligned using the L-INS-i method in the MAFFT software . Sequence logos of amino-acid residues were drawn using the WebLogo 3 service , after removing the positions that were present in less than 75% of the proteins of a given species. The properties of the proteins were calculated with the pepstats utility included in the EMBOSS suite .
Searching for mating- and meiosis-related proteins and alkali-metal cation transporter homologues
To investigate the molecular evidence of sex in W. ichthyophaga, we searched for the presence of mating-type and meiotic-protein homologues in the proteome. Databases of mating-related proteins, homeodomain-containing proteins (PF00046), pheromone factor receptors (PF02076), pheromone response factors (Prf1), and pheromone precursors (PF08015) were created by retrieving sequences of selected basidiomycetes (Agaricus bisporus, Coprinopsis cinerea, Cryptococcus neoformans, Cryptococcus heveanensis, Puccinia graminis, Ustilago maydis, and W. sebi) and S. cerevisiae from UniProt Consortium (http://www.uniprot.org/). These were used as queries in BLASTp for the investigation of the mating-type gene homologues in W. ichthyophaga. The results were filtered according to the e-value cut-off 10-2 criteria, and compared against GenBank. Furthermore, the genome of W. ichthyophaga was investigated for the representative set of meiotic genes (i.e., a ‘meiosis detection toolkit’) , using protein homologues from S. cerevisiae and C. cinerea.
In the same way, the identification of all alkali-metal cation transporters encoded in the W. ichthyophaga genome was performed. In short, a database of S. cerevisiae transporters (Trk1, Trk2, Tok1, Pho89, Nha1, Ena and Pma P-type ATPases, Kha1, Nhx1, Vnx1, Pmc1, Mrs7) and transporters identified in other fungi (Acu1-4, Hak1-4) (Ajellomyces capsulata, Ajellomyces dermatitidis, Candida albicans, Candida dubliniensis, Debaryomyces hansenii, Hordeum vulgare, Magnaporte oryzae, Millerozyma farinosa, Neosartorya fumigata, Neurospora tetrasperma, Physcomitrella patens, Pichia angusta, Sporisorium reilianum, Schwanniomyces occidentalis, Ustilago maydis, Ustilago hordei, and Wickerhamomyces ciferrii) was constructed by collecting the protein sequences from UniProt Consortium. BLASTp results were filtered according to the e-value cut-off 10-40, and compared against GenBank.
Samson RA, Hoekstra ES, Frisvad JC: Introduction to Food- and Airborne fungi. 7th ed. edn. 2004, Centraalbureau voor Schimmelcultures: Utrecht, The Netherlands
Zalar P, de Hoog GS, Schroers HJ, Frank JM, Gunde-Cimerman N: Taxonomy and phylogeny of the xerophilic genus Wallemia (Wallemiomycetes and Wallemiales, cl. et ord. nov.). Antonie Van Leeuwenhoek. 2005, 87: 311-328.
Terracina FC: Fine structure of the septum in Wallemia sebi. Can J Bot. 1974, 52: 2587-2590.
Padamsee M, Kumar TKA, Riley R, Binder M, Boyd A, Calvo AM, Furukawa K, Hesse C, Hohmann S, James TY: The genome of the xerotolerant mold Wallemia sebi reveals adaptations to osmotic stress and suggests cryptic sexual reproduction. Fungal Genet Biol. 2012, 49: 217-226.
Matheny PB, Gossmann JA, Zalar P, Kumar TKA, Hibbett DS: Resolving the phylogenetic position of the Wallemiomycetes: an enigmatic major lineage of Basidiomycota. Can J Bot. 2006, 84: 1794-1805.
Hibbett DS: A higher-level phylogenetic classification of the Fungi. Mycol Res. 2007, 111: 509-547.
Kralj Kunčič M, Zajc J, Drobne D, Pipan Tkalec Z, Gunde-Cimerman N: Morphological responses to high sugar concentrations differ from adaptations to high salt concentrations in xerophilic fungi Wallemia spp. Fungal Biol. 2013, 117: 466-478.
Kralj Kunčič M, Kogej T, Drobne D, Gunde-Cimerman N: Morphological response of the halophilic fungal genus Wallemia to high salinity. Appl Environ Microbiol. 2010, 76: 329-337.
Gostinčar C, Grube M, de Hoog GS, Zalar P, Gunde-Cimerman N: Extremotolerance in fungi: evolution on the edge. FEMS Microbiol Ecol. 2010, 71: 2-11.
Jung S, Marelli M, Rachubinski RA, Goodlett DR, Aitchison JD: Dynamic changes in the subcellular distribution of Gpd1p in response to cell stress. J Biol Chem. 2010, 285: 6739-6749.
Lenassi M, Zajc J, Gostinčar C, Gorjan A, Gunde-Cimerman N, Plemenitaš A: Adaptation of the glycerol-3-phosphate dehydrogenase Gpd1 to high salinities in the extremely halotolerant Hortaea werneckii and halophilic Wallemia ichthyophaga. Fungal Biol. 2011, 115: 959-970.
Hohmann S, Krantz M, Nordlander B: Yeast osmoregulation. Methods Enzymol. 2007, 428: 29-45.
Lenassi M, Vaupotič T, Gunde-Cimerman N, Plemenitaš A: The MAP kinase HwHog1 from the halophilic black yeast Hortaea werneckii: coping with stresses in solar salterns. Saline Syst. 2007, 3: 3-14.
Konte T, Plemenitaš A: The HOG signal transduction pathway in the halophilic fungus Wallemia ichthyophaga: identification and characterisation of MAP kinases WiHog1A and WiHog1B. Extremophiles. 2013, 17: 623-636.
Palkova Z, Vachova L: Life within a community: benefit to yeast long-term survival. FEMS Microbiol Rev. 2006, 30: 806-824.
Wollenzien U, Dehoog GS, Krumbein WE, Urzi C: On the isolation of microcolonial fungi occurring on and in marble and other calcareous rocks. Sci Total Environ. 1995, 167: 287-294.
Gostinčar C, Grube M, Gunde-Cimerman N: Evolution of fungal pathogens in domestic environments?. Fungal Biol. 2011, 115: 1008-1018.
Selbmann L, de Hoog GS, Mazzaglia A, Friedmann EI, Onofri S: Fungi at the edge of life: cryptoendolithic black fungi from Antarctic desert. Stud Mycol. 2005, 51: 1-32.
Arino J, Ramos J, Sychrova H: Alkali metal cation transport and homeostasis in yeasts. Microbiol Mol Biol Rev. 2010, 74: 95-120.
Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD: Eukaryotic genome size databases. Nucleic Acids Res. 2007, 35: D332-D338.
Lukjancenko O, Wassenaar TM, Ussery DW: Comparison of 61 sequenced Escherichia coli genomes. Microb Ecol. 2010, 60: 708-720.
Kelkar YD, Ochman H: Causes and consequences of genome expansion in fungi. Genome Biol Evol. 2012, 4: 13-23.
McGuire AM, Pearson MD, Neafsey DE, Galagan JE: Cross-kingdom patterns of alternative splicing and splice recognition. Genome Biol. 2008, 9: R50-
Taylor JW, Berbee ML: Dating divergences in the Fungal Tree of Life: review and new analyses. Mycologia. 2006, 98: 838-849.
Wösten HAB: Hydrophobins: Multipurpose proteins. Annu Rev Microbiol. 2001, 55: 625-646.
Linder MB, Szilvay GR, Nakari-Setala T, Penttila ME: Hydrophobins: the protein-amphiphiles of filamentous fungi. FEMS Microbiol Rev. 2005, 29: 877-896.
Hektor HJ, Scholtmeijer K: Hydrophobins: proteins with potential. Curr Opin Biotechnol. 2005, 16: 434-439.
Madern D, Ebel C, Zaccai G: Halophilic adaptation of enzymes. Extremophiles. 2000, 4: 91-98.
Siglioccolo A, Paiardini A, Piscitelli M, Pascarella S: Structural adaptation of extreme halophilic proteins through decrease of conserved hydrophobic contact surface. BMC Struct Biol. 2011, 11: 50-
Paul S, Bag SK, Das S, Harvill ET, Dutta C: Molecular signature of hypersaline adaptation: insights from genome and proteome composition of halophilic prokaryotes. Genome Biol. 2008, 9: R70-
Bayry J, Aimanianda V, Guijarro JI, Sunde M, Latge JP: Hydrophobins - unique fungal proteins. PLoS Pathog. 2012, 8 (5): e1002700-
Fuchs U, Czymmek KJ, Sweigard JA: Five hydrophobin genes in Fusarium verticillioides include two required for microconidial chain formation. Fungal Genet Biol. 2004, 41: 852-864.
Valo HK, Laaksonen PH, Peltonen LJ, Linder MB, Hirvonen JT, Laaksonen TJ: Multifunctional hydrophobin: toward functional coatings for drug nanoparticles. ACS Nano. 2010, 4: 1750-1758.
Rodriguez-Navarro A, Benito B: Sodium or potassium efflux ATPase: A fungal, bryophyte, and protozoal ATPase. Biochim Biophys Acta - Biomembranes. 2010, 1798: 1841-1853.
Morsomme P, Slayman CW, Goffeau A: Mutagenic study of the structure, function and biogenesis of the yeast plasma membrane H+-ATPase. Biochim Biophys Acta - Reviews on Biomembranes. 2000, 1469: 133-157.
Ramos J, Arino J, Sychrova H: Alkali-metal-cation influx and efflux systems in nonconventional yeast species. FEMS Microbiol Lett. 2011, 317: 1-8.
Lenassi M, Gostinčar C, Jackman S, Turk M, Sadowski I, Nislow C, Jones S, Birol I, Gunde-Cimerman N, Plemenitaš A: Whole genome duplication and enrichment of metal cation transporters revealed by de novo genome sequencing of extremely halotolerant black yeast Hortaea werneckii. PLoS ONE. 2013, 3: 8-
Benito B, Garciadeblas B, Schreier P, Rodriguez-Navarro A: Novel P-type ATPases mediate high-affinity potassium or sodium uptake in fungi. Eukaryot Cell. 2004, 3: 359-368.
Yan N: Structural advances for the major facilitator superfamily (MFS) transporters. Trends Biochem Sci. 2013, 38: 151-159.
Holland I, Cole S, Kuchler K, Higgins C: ABC proteins: from bacteria to man. San Diego, Calif. 2002, London: Academic
Coleman JJ, Mylonakis E: Efflux in fungi: La pièce de résistance. PLoS Pathog. 2009, 5: e1000486-
Ansell R, Granath K, Hohmann S, Thevelein JM, Adler L: The two isoenzymes for yeast NAD(+)-dependent glycerol-3-phosphate dehydrogenase encoded by GPD1 and GPD2 have distinct roles in osmoadaptation and redox regulation. EMBO J. 1997, 16: 2179-2187.
Stoop JMH, Mooibroek H: Cloning and characterization of NADP mannitol dehydrogenase cDNA from the button mushroom, Agaricus bisporus, and its expression in response to NaCl stress. Appl Environ Microbiol. 1998, 64: 4689-4696.
Ferreira C, van Voorst F, Martins A, Neves L, Oliveira R, Kielland-Brandt MC, Lucas C, Brandt A: A member of the sugar transporter family, Stl1p is the glycerol/H+ symporter in Saccharomyces cerevisiae. Mol Biol Cell. 2005, 16: 2068-2076.
Luyten K, Albertyn J, Skibbe WF, Prior BA, Ramos J, Thevelein JM, Hohmann S: Fps1, a yeast member of the mip family of channel proteins, is a facilitator for glycerol uptake and efflux and is inactive under osmotic-stress. EMBO J. 1995, 14: 1360-1371.
Schurko AM, Neiman M, Logsdon JM: Signs of sex: what we know and how we know it. Trends Ecol Evol. 2009, 24: 208-217.
Lee SC, Ni M, Li WJ, Shertz C, Heitman J: The evolution of sex: a perspective from the fungal kingdom. Microbiol Mol Biol Rev. 2010, 74: 298-340.
Ekena JL, Stanton BC, Schiebe-Owens JA, Hull CM: Sexual development in Cryptococcus neoformans requires CLP1, a target of the homeodomain transcription factors Sxi1 alpha and Sxi2a. Eukaryot Cell. 2008, 7: 49-57.
Malik SB, Pightling AW, Stefaniak LM, Schurko AM, Logsdon JM: An expanded inventory of conserved meiotic genes provides evidence for sex in Trichomonas vaginalis. Plos One. 2008, 3 (8): e2879-
Sun S, Heitman J: Is sex necessary?. BMC Biol. 2011, 9: 56-
Gasch AP, Spellman PT, Kao CM, Carmel-Harel O, Eisen MB, Storz G, Botstein D, Brown PO: Genomic expression programs in the response of yeast cells to environmental changes. Mol Biol Cell. 2000, 11: 4241-4257.
Vaupotič T, Plemenitaš A: Differential gene expression and Hog1 interaction with osmoresponsive genes in the extremely halotolerant black yeast Hortaea werneckii. BMC Genomics. 2007, 8: 280-295.
Zhao C, Waalwijk C, de Wit PJ, Tang D, van der Lee T: RNA-Seq analysis reveals new gene models and alternative splicing in the fungal pathogen Fusarium graminearum. BMC Genomics. 2013, 14: 21-
Gorjan A, Plemenitas A: Identification and characterization of ENA ATPases HwENA1 and HwENA2 from the halophilic black yeast Hortaea werneckii. FEMS Microbiol Lett. 2006, 265: 41-50.
Almagro A, Prista C, Benito B, Loureiro-Dias MC, Ramos J: Cloning and expression of two genes coding for sodium pumps in the salt-tolerant yeast Debaryomyces hansenii. J Bacteriol. 2001, 183: 3251-3255.
Persson BL, Berhe A, Fristedt U, Martinez P, Pattison J, Petersson J, Weinander R: Phosphate permeases of Saccharomyces cerevisiae. Biochim Biophys Acta - Bioenergetics. 1998, 1365: 23-30.
Quiroz-Castaneda RE, Martinez-Anaya C, Cuervo-Soto LI, Segovia L, Folch-Mallol JL: Loosenin, a novel protein with cellulose-disrupting activity from Bjerkandera adusta. Microb Cell Fact. 2011, 10: 8-
McQueen-Mason S, Cosgrove DJ: Disruption of hydrogen-bonding between plant-cell wall polymers by proteins that induce wall extension. Proc Natl Acad Sci U S A. 1994, 91: 6574-6578.
Kogej T, Stein M, Volkmann M, Gorbushina AA, Galinski EA, Gunde-Cimerman N: Osmotic adaptation of the halophilic fungus Hortaea werneckii: role of osmolytes and melanization. Microbiol. 2007, 153: 4261-4273.
Ahmed FR, Buckingham MJ, Hawkes GE, Toube TP: Pyrrolylpolyenes. 5. Revision of the structures of the principal pigments of Wallemia sebi - A nuclear overhauser enhancement study. J Chem Res. 1984, 6: 178-179.
Rozman D, Komel R: Isolation of genomic DNA from filamentous fungi with high glucan level. Biotechniques. 1994, 16: 382-383.
Li RQ, Zhu HM, Ruan J, Qian WB, Fang XD, Shi ZB, Li YR, Li ST, Shan G, Kristiansen K: De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 2010, 20: 265-272.
Li RQ, Li YR, Kristiansen K, Wang J: SOAP: short oligonucleotide alignment program. Bioinformatics. 2008, 24: 713-714.
Ter-Hovhannisyan V, Lomsadze A, Chernoff YO, Borodovsky M: Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training. Genome Res. 2008, 18: 1979-1990.
Saha S, Bridges S, Magbanua ZV, Peterson DG: Empirical comparison of ab initio repeat finding programs. Nucleic Acids Res. 2008, 36: 2284-2294.
Benson G: Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Res. 1999, 27: 573-580.
Li RQ, Yu C, Li YR, Lam TW, Yiu SM, Kristiansen K, Wang J: SOAP2: an improved ultrafast tool for short read alignment. Bioinformatics. 2009, 25: 1966-1967.
Trapnell C, Pachter L, Salzberg SL: TopHat: discovering splice junctions with RNA-Seq. Bioinformatics. 2009, 25: 1105-1111.
Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones SJ, Marra MA: Circos: An information aesthetic for comparative genomics. Genome Res. 2009, 19: 1639-1645.
Boeva V, Zinovyev A, Bleakley K, Vert JP, Janoueix-Lerosey I, Delattre O, Barillot E: Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization. Bioinformatics. 2011, 27: 268-269.
Slater GS, Birney E: Automated generation of heuristics for biological sequence comparison. BMC Bioinformatics. 2005, 6: 31-
Kurtz S, Phillippy A, Delcher AL, Smoot M, Shumway M, Antonescu C, Salzberg SL: Versatile and open software for comparing large genomes. Genome Biol. 2004, 5 (2): R12-
Hane JK, Rouxel T, Howlett BJ, Kema GHJ, Goodwin SB, Oliver RP: A novel mode of chromosomal evolution peculiar to filamentous Ascomycete fungi. Genome Biol. 2011, 12 (5): R45-
Robbertse B, Yoder RJ, Boyd A, Reeves J, Spatafora JW: Hal: an automated pipeline for phylogenetic analyses of genomic data. PLoS Currents. 2011, 3: RRN1213
Grigoriev IV, Nordberg H, Shabalov I, Aerts A, Cantor M, Goodstein D, Kuo A, Minovitsky S, Nikitin R, Ohm RA: The genome portal of the department of energy joint genome institute. Nucleic Acids Res. 2012, 40: 26-32.
Darriba D, Taboada GL, Doallo R, Posada D: ProtTest 3: fast selection of best-fit models of protein evolution. Bioinformatics. 2011, 27: 1164-1165.
Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O: New algorithms and methods to estimate maximum-likelihood phylogenies: Assessing the performance of PhyML 3.0. Syst Biol. 2010, 59: 307-321.
Sanderson MJ: r8s: inferring absolute rates of molecular evolution and divergence times in the absence of a molecular clock. Bioinformatics. 2003, 19: 301-302.
Katoh K, Toh H: Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinform. 2008, 9: 286-298.
Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: Molecular Evolutionary Genetics Analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011, 28: 2731-2739.
De Bie T, Cristianini N, Demuth JP, Hahn MW: CAFE: a computational tool for the study of gene family evolution. Bioinformatics. 2006, 22: 1269-1271.
Punta M, Coggill PC, Eberhardt RY, Mistry J, Tate J, Boursnell C, Pang N, Forslund K, Ceric G, Clements J: The Pfam protein families database. Nucleic Acids Res. 2012, 40: 290-301.
Crooks GE, Hon G, Chandonia JM, Brenner SE: WebLogo: a sequence logo generator. Genome Res. 2004, 14: 1188-1190.
Rice P, Longden I, Bleasby A: EMBOSS: The European molecular biology open software suite. Trends Genet. 2000, 16: 276-277.
Burns C, Stajich JE, Rechtsteiner A, Casselton L, Hanlon SE, Wilke SK, Savytskyy OP, Gathman AC, Lilly WW, Lieb JD: Analysis of the basidiomycete Coprinopsis cinerea reveals conservation of the core meiotic expression program over half a billion years of evolution. PLoS Genet. 2010, 6:
The authors acknowledge the financial support from the state budget by the Slovenian Research Agency (Infrastructural Centre Mycosmo and Young Researcher Grants to J. Zajc). The study was also partly financed via operation “Centre of excellence for integrated approaches in chemistry and biology of proteins” number OP18.104.22.168.02.0005, financed by European Regional Development Fund (85% share of financing) and by the Slovenian Ministry of Higher Education, Science and Technology (15% share of financing).
The authors declare that they have no competing interests.
JZ isolated the DNA and RNA, analysed the mating-type and meiosis-related genes, genes encoding metal-cation transporters and hydrophobins, and the CAFE output, interpreted part of the transcriptomic data, and participated in writing the manuscript. YL submitted the data to GenBank and participated in writing the Methods section of the manuscript. WD, ZY and JH performed the sequencing, assembly and annotation of the genome and transcriptome, and participated in the project coordination. CG constructed the Circos images, performed the phylogenetic and CAFE analyses, interpreted part of the transcriptomic data, and participated in writing the manuscript. NGC conceived the study and participated in its coordination. All authors have read and approved the final manuscript.
Janja Zajc, Yongfeng Liu, Cene Gostinčar and Nina Gunde-Cimerman contributed equally to this work.
Electronic supplementary material
Additional file 1: Figure S1:Classification of the predicted genes into the KEGG database categories. Figure S2. Classification of the predicted genes into clusters of orthologous groups (COG database). Figure S3. Distribution of transcriptome gene coverage. Figure S4. Number of different alternative splicing events at each salinity. (PDF 557 KB)
Additional file 3: Table S2: Evolution of protein families. Results of the analysis with the CAFE software. For each family, the P values for the family expansion/ contraction are shown for the whole tree, as well as for the branches leading to W. ichthyophaga, W. sebi, both Wallemia spp., and Agaricomycotina. Only families with a family-wide P-value lower than 0.01 are shown. (XLS 76 KB)
Additional file 6: Table S5: KEGG database pathways with a significantly higher proportion of differentially expressed genes than expected (when comparing transcriptomes at 10% and 30% NaCl [w/v]). (XLS 41 KB)
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Zajc, J., Liu, Y., Dai, W. et al. Genome and transcriptome sequencing of the halophilic fungus Wallemia ichthyophaga: haloadaptations present and absent. BMC Genomics 14, 617 (2013). https://doi.org/10.1186/1471-2164-14-617
- Wallemia ichthyophaga