Genome-wide analysis and prediction of genes involved in the biosynthesis of polysaccharides and bioactive secondary metabolites in high-temperature-tolerant wild Flammulina filiformis

Flammulina filiformis (previously known as Asian F. velutipes) is a popular commercial edible mushroom. Many bioactive compounds with medicinal effects, such as polysaccharides and sesquiterpenoids, have been isolated and identified from F. filiformis, but their biosynthesis and regulation at the molecular level remains unclear. In this study, we sequenced the genome of the wild strain F. filiformis Liu355, predicted its biosynthetic gene clusters (BGCs) and profiled the expression of these genes in wild and cultivar strains and in different developmental stages of the wild F. filiformis strain by a comparative transcriptomic analysis. We found that the genome of the F. filiformis was 35.01 Mb in length and harbored 10,396 gene models. Thirteen putative terpenoid gene clusters were predicted and 12 sesquiterpene synthase genes belonging to four different groups and two type I polyketide synthase gene clusters were identified in the F. filiformis genome. The number of genes related to terpenoid biosynthesis was higher in the wild strain (119 genes) than in the cultivar strain (81 genes). Most terpenoid biosynthesis genes were upregulated in the primordium and fruiting body of the wild strain, while the polyketide synthase genes were generally upregulated in the mycelium of the wild strain. Moreover, genes encoding UDP-glucose pyrophosphorylase and UDP-glucose dehydrogenase, which are involved in polysaccharide biosynthesis, had relatively high transcript levels both in the mycelium and fruiting body of the wild F. filiformis strain. F. filiformis is enriched in a number of gene clusters involved in the biosynthesis of polysaccharides and terpenoid bioactive compounds and these genes usually display differential expression between wild and cultivar strains, even in different developmental stages. This study expands our knowledge of the biology of F. filiformis and provides valuable data for elucidating the regulation of secondary metabolites in this unique F. filiformis strain.


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Conclusions: F. filiformis is enriched in a number of gene clusters involved in the biosynthesis of polysaccharides and terpenoid bioactive compounds and these genes usually display differential expression between wild and cultivar strains, even in different developmental stages. This study expands our knowledge of the biology of F. filiformis and provides valuable data for elucidating the regulation of secondary metabolites in this unique F. filiformis strain.
Keywords: Edible mushroom, Gene cluster, Gene expression, Polysaccharides, Sesquiterpene, High-temperaturetolerance Background Flammulina filiformis, also known as enokitake, winter mushroom or golden needling mushroom, is a species endemic to Asia and belongs to the family Physalacriaceae, Agaricales [1]. Previously, F. filiformis from eastern Asia was regarded as Asian F. velutipes or F. velutipes var. filiformis,but recently phylogenetic results based on multi-gene markers and morphological comparisons demonstrated that "F. velutipes" in eastern Asia is not identical to the European winter mushroom F. velutipes and should be treated as a separate species, namely F. filiformis, which includes all cultivated enokitake strains in East Asia and those from South Korea and Japan with genome sequences [2]. Thus, we apply the name "F. filiformis" instead of the Asian F. velutipes in our study.
F. filiformis is one of the most important and popular edible mushrooms available commercially in China. It is widely cultivated and consumed in Asian countries due to its high nutritional value and desirable taste. It has been reported that China is currently the largest producer of F. filiformis, with an annual production of 2.4 million tons [3]. F. filiformis also possesses tremendous pharmaceutical value, and many bioactive constituents have been identified, such as polysaccharides [4][5][6], flavonoids [7], sesquiterpenes, glycosides, proteins, and phenols [8][9][10]. These compounds have been shown to exhibit antitumour, anticancer, anti-atherosclerotic thrombosis inhibition, anti-aging and antioxidant effects [11,12]. In addition, as a typical white-rot fungus, F. filiformis can effectively degrade lignin and produce alcohol dehydrogenase, and thus exhibiting potential for application in bioethanol production [13].
In recent decades, research has mainly focused on the phylogenetic taxonomy [1,14], genetic diversity [15,16], nutritional and chemical constituents [17][18][19], pharmacological bioactivity [20,21] and artificial cultivation of Flammulina spp. [22][23][24]. Most studies have shown that F. filiformis possesses relatively high carbohydrate, protein and amino acids contents and low fat or lipid contents; thus, it generally was recognized as a low energy delicacy [25]. In addition, bioactive polysaccharides (e.g., glucans and heteropolysaccharides), immunomodulatory proteins (e.g., FIP-fve) and multiple bioactive sesquiterpenes were also isolated and identified from the fermentation broth, mycelia and fruiting bodies of F. filiformis [26]. Tang et al. [12] reviewed the compounds derived from the F. filiformis and their diverse biological activities. Increasing studies on the chemical compounds and biological activities of this mushroom have supported that F. filiformis should be exploited as a valuable resource for the development of functional foods, nutraceuticals and even pharmaceutical drugs [27].
The development of genomic and transcriptomic sequencing technologies has provided the powerful tools to understand the biology of edible mushrooms, including the effective utilization of cultivation substrates (lignocellulose) [28,29], the mechanism of fruiting body formation and development and adaption to adverse environments, such as high temperature environments or cold-stress conditions [30][31][32]. For example, genome sequencing of the cultivars of F. filiformis from Korea and Japan revealed their high capacity for lignocellulose degradation [28,33]. Transcriptomic and proteomic analyses of F. filiformis revealed key genes associated with cold-and light-stress fruiting body morphogenesis [34]. These studies provided important information for the breeding and commercial cultivation of F. filiformis.
Recent advances in genome sequencing have revealed that a large number of putative biosynthetic gene clusters (BGCs) are hidden in fungal genomes [35,36]. Genome mining efforts have also allowed us to understand the silencing or activation of biosynthetic pathways in microbes with the development of bioinformatics software, such as antiSMASH, SMURF and PRISM [37]. For instances, the genome-wide investigation of 66 cosmopolitan strains of Aspergillus fumigatus revealed 5 general types of variation in secondary metabolic gene clusters [38]. The identification of the tricyclic diterpene antibiotic pleuromutilin gene clusters on the genomescale increased antibiotic production in Clitopilus passeckerianus [39]; the prediction of gene clusters involved in the biosynthesis of terperoid/ polyketide synthase (PKS) in the medicinal fungus Hericium erinaceus by genome and transcriptome sequencing discovered a new family of diterpene cyclases in fungi [40,41], and the identification of the candidate cytochromes P450 gene cluster possibly related to triterpenoid biosynthesis in the medicinal mushroom Ganoderma lucidum by genome sequencing improved the production of effective medicinal compounds [42,43].
However, as a popular edible mushroom that has a wide spectrum of interesting biological activities, little is known about the synthesis and regulation of bioactive secondary metabolites of F. filiformis. In previous experiments, we collected the wild strain of F. filiformis Liu355 from Longling, Yunnan and demonstrated that it could tolerate relatively high temperatures during fruiting body formation (at 18°C-22°C) in the laboratory and that its temperature tolerance was superior to that of the commercial strains of F. filiformis that usually produce fruiting bodies at low temperatures ≤15°C [16]. Thus, the wild strain is a potential and an important material for future breeding or engineering of new F. filiformis strains because increasing the temperature tolerance can save a substantial amount of energy. Most interestingly, the chemical composition of the wild strain was different from that of other commercially cultivated strains of F. filiformis, harboring more unique chemical compounds. A total of 13 new sesquiterpenes with noreudesmane, spiroaxane, cadinane, and cuparane skeletons were isolated and identified from the wild strain Liu355 [9]. Fungi in Basidiomycota can produce diverse bioactive sesquiterpenes but the knowledge about sesquiterpene synthases (STSs) in these fungi are unclear. The identification of sesquiterpene synthases from Coprinus cinereus and Omphalotus olearius provided useful guidance for the subsequent development of in silico approaches for the directed discovery of new sesquiterpene synthases and their associated biosynthetic genes [44].
Thus, the aims of our study are to explore the genetic features of this interesting wild strain of F. filiformis on a genomic scale, to predict the genes or gene clusters involved in the biosynthesis of polysaccharide or secondary metabolites and to profile the expression differences in these candidate genes during the development of F. filiformis. In addition, the genes related to its hightemperature-tolerance are also discussed. This research will facilitate our understanding of the biology of the wild strain, provide useful datasets for molecular breeding, improving compound production and improve the production of novel compounds by heterologous pathway and metabolic engineering in the future.

Results
General features of the F. filiformis genome Prior to our study, three genomes classified as F. filiformis were available in public databases: the relatively complete genome of strain KACC42780 from Korea, a draft genome of TR19 from Japan and L11 from China (previously named as Asian F.velutipes). In this study, we sequenced the genome of a wild strain of F. filiformis by small fragment library construction and performed a comparative genomic analysis of secondary metabolite gene clusters. The assembled genome of wild F. filiformis was 35.01 Mbp with approximately 118-fold genome coverage. A total of 10,396 gene models were predicted, with an average sequence length of 1445 bp. The genome size and the number of predicted protein-encoding genes were very similar to the public published genome of F. filiformis (Table 1). Functional annotation of the predicted genes showed that more than half the predicted genes were annotated in the NCBI Non-Redundant Protein Sequence Database (NR) (6383 genes) and 5794, 2582, 1972 and 837 genes were annotated in the databases Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Clusters of Orthologous Groups (COG) and SwissProt, respectively. In addition, the wild F. filiformis genome contained 107 cytochrome P450 family genes and 674 genes encoding secretory proteins. Comparative genome analysis of four strains of F. filiformis showed that the F. filiformis can be described by a pan-genome consisting of a core genome (4074 genes) shared by four strains (on average 23.5% of each genome) and a dispensable genome (13,219 genes) (Fig. 1a). A total of 3104 orthologous genes were annotated in the KEGG database, 2722 genes were annotated in the GO database and 1055 genes were specific to the wild strain Liu355.

Functional characteristics of the predicted genes of F. filiformis
Functional annotation in KEGG database showed that the abundance of the predicted genes of F. filiformis involved in translation (253 genes) was the highest, followed by carbohydrate metabolism with 243 genes. Twenty-one genes were involved in terpenoid and polyketide biosynthesis (Additional file 1: Fig. S1).

Transcriptomic analysis and gene expression
We studied the gene expression differences across different developmental stages, namely the monokaryotic (MK), dikaryotic mycelium (DK), primordium (PD) and fruiting body (FB) stage of the wild strain F. filiformis Liu355. Moreover, the DK of the cultivar strain of F. filiformis (CGMCC 5.642) was also subjected to transcriptome sequencing (Fig. 1b). Three biological replicates were designed for each sample. The average clean data for each sample was 8.07-9.32 G. We mapped the clean reads to the genome of F. filiformis Liu 355 using HISAT software and obtained a relatively high total mapping rate (92.63%). In addition, the expression variation between samples was the smallest between the DK and FB stages (the average value of R 2 = 0.85) and was the greatest between the wild strain's MK and cultivar DK stages of the wild F. filiformis strain (Additional file 2: Fig. S2).
Among the 10,396 gene models of F. filiformis, 9931 gene models were expressed (FPKM > 5) across the four different tissues (MK, DK, PD and FB) of the wild strain and the dikaryotic mycelium of a cultivar strain of F. filiformis. A total of 6577 genes were commonly expressed in all tissues. One hundred fifty-one genes were specifically expressed in the cultivar strain, and 199, 152, 116, 46 genes were specifically expressed in FB, MK, DK and PD of the wild strain of F. filiformis, respectively (Fig. 1c). The tissue-specific and high expression transcripts in F. filiformis Liu355 are listed in Additional file 3: Table S1. Two genes encoding ornithine decarboxylase (involved in polyamine synthesis) were highly expressed in the mycelium of the cultivar strain (Nove l01369, Nove l01744), and the genes encoding oxidoreductase also had the highest expression level (gene 830, FPKM > 1000). The genes encoding agroclavine dehydrogenase, acetylxylan esxterase, βglucan synthesis-associated protein and arabinogalactan endo-1,4-β-galactosidase protein were significantly highly expressed in the FB of the wild F. filiformis strain, with a more than 20-100-fold change compared to their expression in the mycelium. Agroclavine dehydrogenase is involved in the biosynthesis of the fungal ergot alkaloid ergovaline [45] and-β-glucan synthesis-associated protein is likely linked to the biosynthesis of fungal cell wall polysaccharides. The high expression of these genes indicates that they probably play an important role in fruiting body development and compound enrichment.
A total of 5131 genes (51.67%) were up or downregulated in at least one stage of transition, such as from mycelium to primordium (PD vs DK, 3889 genes) and from primordium to fruiting body (FB vs PD, 3308 genes) (Fig.  1d). During primordial formation, 1780 genes are upregulated, and most of the genes were annotated as oxidoreductase activity (GO:0016491), hydrolase activity (GO: 0004553) and carbohydrate metabolism (GO:0005975). The downregulated genes were mainly enriched in transmembrane transport (GO:0055085). During fruiting body development, genes related to the fungal-type cell wall (GO:0009277) and the structural constituent of the cell wall (GO:0005199) were upregulated, reflecting the dramatic changes in cell wall structure during the developmental process. In addition, GO term enrichment of differentially expressed genes (DEGs) between the wild strain Liu355 and cultivar strain CGMCC 5.642 showed that most genes displayed a similar expression profile, but peptide biosynthetic and metabolic process (GO:0006518; GO:0043043), amide biosynthetic process (GO: 0043604) and ribonucleoprotein complex (GO: 1901566) were upregulated in the cultivar strain of CGMCC 5.642.
KEGG enrichment analysis showed that DEGs involved in glutathione metabolism were significantly enriched in DK of the wild strain Liu 355 compared to the cultivar strain ( Fig. 2). Thirty-three DEGs, including genes encoding glutathione S-transferase, ribonucleoside-diphosphate reductase, 6-phosphogluconate dehydrogenase, cytosolic non-specific dipeptidase, gamma-glutamyltranspeptidase, and glutathione peroxidase, participated in this pathway. In addition, during the primordial and fruiting body development stages, the MAPK signaling pathway (45 DEGs) and starch and sucrose metabolism pathway (26 DEGs) were significantly enriched. Tyrosine metabolism, biosynthesis of secondary metabolites and glycosphingolipid biosynthesis were also significantly enriched in the fruiting body formation stage.

Genes involved in polysaccharide biosynthesis in F. filiformis
We identified a total of 80 genes related to polysaccharide (PS) biosynthesis involved in glycolysis and gluconeogenesis in the KEGG pathway analysis (KEGG map 00010) [46] at the genomic level, including glucose-6-phosphate isomerase (GPI), fructose-1,6-biphosphatase (FBP), and mannose-6phosphate isomerase (MPI). Genes encoding Zinc-type alcohol dehydrogenase were upregulated in both the mycelium of the wild strain compared to the cultivar strain and in the fruiting body compared to the mycelium of the wild of F. filiformis strain (Additional file 4: Fig. S3 and Additional file 5: Table S2). The genes encoding glycerol 2-dehydrogenase (gene9557, gene2028), 7-bisphosphatase (gene 2929), alcohol dehydrogenase (gene7891-D2, gene 9773-D2) and arylalcohol dehydrogenase (gene 4871, gene 612) were upregulated in mycelium of the wild strain. The expression level of the gene encoding mannose-1-phosphate guanylyltransferase (GDP) (gene 11,132-D3) was the highest in the mycelium of the wild strain, with a more than 200-fold change compared to that in the mycelium of the cultivar strain. The genes encoding glycerol 2-dehydrogenase (gene 894) and sugar phosphatase (gene 11,052-D2) were upregulated in the fruiting body stage of the wild strain.
To identify PS related genes, several predicted metabolic enzymes related to PS biosynthesis in G. lucidum [47] were also blasted by homology searches in the F. filiformis genome. We identified 21 putative essential enzymes involved in PS biosynthesis in F. filiformis, including GPI, MPI, UDP-glucose dehydrogenases (UGD), UDP-glucose pyrophosphorylase (UGP), hexokinase, galactokinase and transketolase ( Table 2). Among them, genes encoding Predicted bioactive secondary metabolite gene clusters of F. filiformis In total, 13 gene clusters related to terpenoid biosynthesis and two gene clusters for polyketide biosynthesis were predicted in the wild strain of F. filiformis ( Fig. 3 and Additional file 6: Table S3). The numbers of gene clusters involved in terpene, PKS and NRPS biosynthesis were different in the wild strain Liu355 compared with the other three cultivar strains (KACC42780, TR19 and L11 with genome sequencing) and the gene number related to terpene synthesis was higher in the wild strain Liu355 (119 genes) than in the cultivar strain L11 (81 genes) ( Table 3). We performed sequences' similarity comparison of genes involved in predicted terpene and type I PKS gene clusters among different strains of F. filiformis  Table S4. This result showed that a high similarity of genes sequence and gene cluster existence between different strains of F. filiformis but several individual genes specific occurred only in wild strain Liu355 compared to cultivar L11,TR19 and KACC42780 (e.g. gene cluster in scaffold 548).
Putative genes for terpenoid biosynthesis in F. filiformis A total of 119 genes of 13 terpenoid clusters were divided into 10 clades according to their expression levels in different developmental stages of the wild strain or cultivar strains (Additional file 8: Fig. S4). Most genes in clade II, including encoding 4,5-DOPA dioxygenase extradiol-like protein (gene3103) and squalene synthase (gene3428), which is involved in the biosynthesis of squalene, a precursor of terpenoid compounds, were upregulated in the primordium compared to the mycelium of wild strain Liu355. The genes in clades VIII-X, including key enzymes involved in terpenoid biosynthesis, such as protoilludene synthase, candidate peroxisomal acylcoenzyme A oxidase, L-amino acid amidase and cytochorme P450, were significantly differentially expressed in the fruiting body compared with the mycelium of the wild strain Liu355 and in the mycelium of the wild strain Liu355 compared to the cultivar strain CGMCC5.642. For example, the putative terpene synthase (gene 9115) was highly expressed and significantly upregulated in the mycelium of the wild strain (1.4-fold change) compared to the mycelium of the cultivar strain (CGMCC 5.642) and in the fruiting bodies compared with the primordium in the wild strain Liu355 (19.4-fold change). Two putative cytochrome P450 genes (gene 9114 and gene 7212) were also significantly upregulated in the dikaryotic mycelium compared to the monokaryotic mycelium of the wild strain (7.61-and 7.50-fold change, respectively) and the cultivar strain mycelium (2.1-and 1.7-fold change, respectively). This result likely explained the greater diversity of bioactive compounds in the wild strain than in the cultivar strain in a previous study.

Putative genes for polyketide biosynthesis in F. filiformis
The diverse structures of polyketides are biosynthesized from short-chain carboxylic acid units by polyketide synthases (PKSs), PKSs have been classified into type I, type II and type III based on their product profiles and catalytic domain architecture [48]. By gene cluster prediction using antiSMASH, we found 30 genes in two gene clusters annotated as type I PKSs, and they were mainly located in a single scaffold, 24 and 78, in the F. filiformis genome, respectively ( Fig. 4 and Additional file 6: Table S3). The two gene clusters both included core genes encoding polyketide synthases (gene8217 and gene1373). The genes located on scaffold 78, including putative polyketide synthase (gene1373, gene1374) and benzoate 4-monooxygenase (gene 1372), were most upregulated in the wild strain mycelium compared with the cultivar strain mycelium, indicating that polypeptide compounds are probably abundant in the mycelia of this mushroom and especially in the wild strain.

Cytochrome P450s in the F. filiformis genome
We identified 107 genes in the cytochrome P450 family, including nine putative trichodiene oxygenases, 31 Omethylsterigmatocystin oxidoreductases, five benzoate 4monooxygenases, two linoleate 10R-lipoxygenases, two ent-kaurene oxidases, lanosterol 14-alpha and flavonoid hydroxylases and other candidate cytochrome P450s. Of these, 102 genes had diverse expression profiles across different tissues of F. filiformis. Twenty-six CYP450 genes were upregulated in the mycelium of the wild strain compared to the cultivar strain and the cytochrome P450 (gene 5820-D3) had the highest expression level, with more than a 500-fold change. Twenty-one CYP450 genes were upregulated in the fruiting body stage compared to the mycelium stage, and genes encoding benzoate 4-monooxygenases had the highest transcript level, with 15-fold change. In the primordim stage, the gene encoding docosahexaenoic acid omega- Heat-shock proteins correspond to temperature changes in F. filiformis In our study, the wild strain of Liu355 could grow fruiting bodies at 18°C-22°C in the laboratory. The heatshock protein (HSP) family is known to be positively correlated with organism thermotolerance [49]. Twentyeight genes annotated as HSPs were identified in the wild F. filiformis genome (Fig. 4). Among them, six genes were significantly upregulated in the wild strain Liu355 compared to the cultivar strain, including encoding protein HSP12, HSPC4, HSP104, LHS1 and GRP78, respectively. HSP12 (gene5359), HSP7F (gene10428), HSP75 (gene4363), HSP71 (gene4424) and HSP60 (gene9277) are differentially upregulated expression at the beginning of fruiting bodies formation (PD stage) compared to vegetative growth (DK stage).

Discussion
Flammulina filiformis is one of most widely cultivated white rot fungi in large commercial scale in China. It was reported that the first cultivar strain of F. filiformis in China was domesticated from a wild strain isolated from Fujian province in 1974 [15]. To date, the genomes of three cultivars of F. filiformis from Japan, Korea and China were sequenced respectively. In this study, we sequenced the genome of a wild strain of F. filiformis with abundant sesquiterpenoid compounds and hightemperature tolerance, which collected from Yunnan Province recently. The genome size (35.01 Mbp) and the numbers of putative genes (10396) of the wild F. filiformis were similar to the previous public genome of the cultivar F. filiformis (Table 1). Pan-genomic analysis indicated that only 23.5% orthologus genes were shared among the four strains of F. filiformis (Fig. 1a). The proportion (23.5%) of core genes in the pan-genomic analysis of F. filiformis was similar to that in the pangenomic analysis of 23 Corallococcus spp. [50]. The number seems relative lower than actual number. A possible explain was that these genomes were different sequencing depth or different methods applied for genomic assemble and annotation. Transcriptomic analysis showed 30 genes were specific expression in mycelium of the cultivar CGMCC5.642, including genes encoding ornithine decarboxylase (ODC), N-acetyltransferase and malate dehydrogenase; four genes without functional annotation were specific expression in dikaryotic mycelium of the wild strain F. filiformis (Additional file 3: Table S1).ODC was the first and rate-limiting enzyme in the synthesis of polyamines and it was also involved in methyl jasmonate-regulated postharvest quality retention in button mushrooms [51]. Specific expression of these genes in cultivar strain of F. filiformis was possible related to human domestic activity, while the function of the genes specifically expressed in the wild strain of F. filiformis will be further studied.
In addition, the genes involved in glutathione metabolism were significantly enriched in DK of the wild strain Liu 355 compared to the cultivar strain CGMCC 5.642. A study on the glutathione metabolism in the filamentous fungus Aspergillus nidulans indicated that glutathione itself and glutathione metabolic enzymes play crucial roles in the germination of conidiospores and markedly contribute to the general stress tolerance of the fungus [52]. The high expression of genes related to glutathione metabolism in the wild strain of F. filiformis implied that the strain probably had strong environmental adaptation and it would be a potential better breeding resource.
Polysaccharides (PSs) are important and bioactive components of F. filiformis and other edible and medicinal mushrooms [47]. GPI, FBP, UGD and UGP are known important enzymes in the biosynthetic pathway of PSs of edible mushrooms [43,47]. In our study, genes encoding to GPI, FBP and MPI were predicted to involve in PS biosynthesis of F. filiformis by KEGG enrichment analysis and by homologous protein search with known enzymes involved in PS biosynthesis of medicinal mushroom of G. lucidum. The gene encoding mannose-1-phosphate guanylyltransferase (GDP) exhibited differential expression in mycelium of the wild strain Liu 355 compared to cultivar strain CGMCC5.642 with over 200-fold change, indicating the potential abundance of PS compounds, and the content difference of PSs between the wild and the cultivar strain of F. filiformis will be determined in the next study.
Besides PSs, sesquiterpene compounds are the main bioactive secondary metabolites in Flammulina. The chemistry investigation of six strains (one wild strain and five other cultivar strains) of F. filiformis in a previous report revealed that the wild strain Liu355 contained many new sesquiterpenes with various skeletons, including cuparane-type and sterpurane-type sesquiterpenes.
Noreudesmane, spiroaxane, cadinane and seco-cuparane sesquiterpenoids were first identified as new compounds in the mycelium of the wild F. filiformis strain and 12 putative sesquiterpene synthase genes (Fla1-12) were also predicted from the genomic sequence of the cultivar strain of F. filiformis L11 [9]. These more sesquiterpenes from the wild strain of F. filiformis were mainly derived from 1,10-cyclization of FPP mechanisms. Thus, the enzymes encoded by gene1358-D2 and gene1358, clustered with known functional Omp1 and Omp2 (O. olearius) are probably responsible for the production of sesquiterpene with specific skeleton of the F. filiformis. The expression level of gene1358-D2 and gene1358 will be verified in different strains of F. filiformis by quantitative real-time PCR in the next step. In addition, the yield of these sesquiterpene compounds and the reason for the wild strain possessing more kinds of sesquiterpene compounds will be further explained in ongoing research.
Comparative studies of filamentous fungal species have shown that secondary metabolism gene clusters are often either highly divergent or uniquely present in one or a handful of species [38]. Investigation of genomewide within-species variation of 66 cosmopolitan strains of a single species Aspergillus fumigatus revealed that genes cluster exist location polymorphisms (a cluster was found to differ in its genomic location across strains) and it affect the function of gene cluster [38]. In our study, we did a preliminary analysis of gene cluster prediction within four different strains and revealed the more than 95% genes in predicted terpene and type I PKS clusters in wild strain Liu355 also existed in other three strain. However, the location confirmation of these gene clusters and the function need to be verified by experiments in the further study. Sometimes, the number of predicted genes clusters related to secondary metabolism in fungi based on genome sequencing data was also effected on sequencing method (platform) and sequencing depth and sample size (only four strains can available in our study), therefore, more strains from different geographic regions will be collected for further analysis.
A temperature downshift (cold stimulation) is considered to be one of the most important and essential environmental factors for the fruiting initiation and fruiting body formation of F. filiformis [34]. In our study, six genes annotated with heat shock protein family (HSP12, HSPC4, HSP104, LHS1 and GRP78) displayed significantly differential expression in the wild strain Liu355 compared to the cultivar strain. It is known that HSP12 is part of a group of small HSPs that function as chaperone proteins and are ubiquitously involved in nascent protein folding by protecting proteins from misfolding and are partially characterized as a stress response; the expression of HSP12 protein was observed in response to cold stress [53]. The expression of HSP104 and HSP70 is regulated by the Hsf (heat-shock factor) interaction, which can be stimulated by heat stress in yeast [49]. In addition, HSP70 chaperone and two putative HSP were also found were upregulated at only primordium or young fruiting body of cultivar F. filiformis using the iTRAQ labeling technique [54]. Our study also predicted that genes encoding HSP12, HSP 71, HSP60 probable involved in formation and differentiation of fruiting bodies of F. filiformis. However, the exact molecular function of HSPs in the hightemperature tolerance of wild F. filiformis and its adaptive mechanisms for relatively high temperatures need further study.

Conclusions
In our study, genome and transcriptome sequencing and the assembly and annotation of the high-temperaturetolerant wild F. filiformis strain were carried out, and the gene clusters associated with polysaccharides, terpenoid and polyketide biosynthesis were predicted. Comparative genomic analysis with three other Asian cultivar strains of F. filiformis revealed that the wild strain has a similar genome size and relatively more putative gene numbers related to secondary metabolite biosynthesis. Most genes related to terpenoid biosynthesis were upregulated in the primordium and fruiting body of the wild strain, while PKS genes were generally upregulated in the mycelium of the wild strain; however, the specific regulatory pathways involved such synthesis pathways remain unresolved in this study.
Six genes belonging to the HSP family, including HSP12, HSPC4, HSP104, LHS1 and GRP78, were significantly upregulated in the wild strain Liu355 compared to the cultivar strain and may be responsible for the development of fruiting bodies at relatively high temperatures in the high-temperature-tolerant wild F. filiformis strain. However, the expression of these genes in other strains of F. filiformis, especially in strains under lowtemperature developmental conditions, requires verification in future studies. Our study provides an important genetic dataset for F. filiformis as a potential breeding material, and provides a foundation for enhancing the understanding of the biology of F. filiformis.

Fungal strains and strain culture
The wild strain Liu355 used for genomic sequencing was kindly provided by Prof. H. W. Liu (State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences) and was first isolated from the fruiting body of F. filiformis collected from Longling, Yunnan Province, southwestern China. The voucher specimens of the F. filiformis fruiting bodies were deposited in the Cryptogamic Herbarium, Kunming Institute of Botany, Chinese Academy of Sciences (HKAS85819). DNA sequencing of the internal transcribed spacer (ITS) region of F. filiformis (HKAS85819) was listed under GenBank accession number KP867925 [9]. The haploid monokaryotic strain F. filiformis Liu355 (deposited in Mycological Laboratory of the Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences) was prepared by the protoplast mononuclear method and was grown on potato dextrose agar (PDA) at room temperature for 2-3 weeks in the dark. The fruiting bodies were obtained in sterile plastic bottles containing on growth substrate (cotton seed hulls, 78%; wheat bran, 20%; KH 2 PO 4 , 0.1%; MgSO 4 , 0.1%; sucrose, 1%; and ground limestone, 1%; with a moisture content of 70%) at 25°C for 30 d, followed by cold stimulation at 18°C and 90% humidity until primordial development occurred. Cultures were maintained at low temperature (18°C and 75% humidity) to allow full fruiting body development [55]. In addition, the genomic data of two cultivar strains from Korea (KACC42780, Bioproject PRJNA191921) and Japan (TR19, Bioproject PRJDB4587) were available from the NCBI public database, and the genomic sequence of strain L11 (Bioproject PRJNA191865) was kindly provided by the Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University [56]. The cultivar dikaryotic strain (CGMCC 5.642) was obtained from the China General Microbiological Culture Collection Center (Beijing, China, http://www.cgmcc.net/) and stored in our laboratory.

Genome and transcriptome sequencing and analysis
Total genomic DNA of F. filiformis was extracted from the mononuclear mycelia in PDA medium using the Omega E.Z.N.A. fungal DNA midi kit (Omega, USA) according to the manufacturer's instructions. Total DNA was evaluated by agarose gel electrophoresis and quantified by Qubit 2.0 Fluorometer (Thermo Scientific). Library construction and sequencing was performed at the Beijing Novogene Bioinformatics Technology Co. Ltd. (China). The quality and quantity of libraries were checked using an Agilent 2100 Bioanalyzer. The F. filiformis strain was sequenced using 350 bp paired-end reads on an Illumina HiSeq 4000 platform via the PE150 method. The quality of sequencing results for fastq files was evaluated using software FastQC (http://www.bioinformatics.babraham. ac.uk/projects/fastqc/) and readfq.v10 (https://github. com/lh3/readfq) also was used for sequence quality control. The raw data was filtered by removing the low-quality reads, including reads with N content higher than 10%, reads whose base quality value is less than 20 with the ratio is higher than 40%, duplication (exactly the same PE reads) and PE reads containing sequencing adapters (15 bases aligned to the adapter sequence). After that, the high-quality reads were mapped to the reference genome sequence of F. filiformis L11 (Bioproject PRJNA191865) using BWA v0.5.9-r16 software. Functional annotation of the predicted genes was performed using BLAST against Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), SwissProt and NCBI Non-Redundant Protein Sequence Database (NR) [40].
The term pan-genome was first proposed by Tettelin et al. in 2005 and it defines the entire genomic repertoire of a given phylogenetic clade and encodes for all possible lifestyles carried out by its organisms [57,58]. Pan-genome usually comprises the core-genome (essential nucleotide sequences shared by all genomes in the cohort), dispensable genome (nucleotide sequences shared by a subset of genomes in the cohort) and strain-specific genes (nucleotide sequences existing only within a particular genome in the cohort) [59]. Pan-genome analysis in our study was carried out using the standalone CD-HIT tool to cluster orthologous proteins [60].
For transcriptomic sequencing, total RNA was extracted using the RNAeasy Plant Mini kit (Qiagen) according to the manufacturer's protocols. Five samples were prepared; the monokaryotic mycelium (MK), dikaryotic mycelium (DK), primordium (PD) and fruiting bodies (FB) of the wild strain Liu355 and the dikaryotic mycelium of the cultivar strain CGMCC 5.462. Each sample had three biological replicates. All samples were subjected to RNA-Seq on the Illumina HiSeq2000 platform (Illumina, San Diego, CA, USA). Raw data (raw reads) of fastq format were firstly processed through FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). In this step, clean data (clean reads) were obtained by removing reads containing adapter that were added for reverse transcription and sequencing, lowquality bases (> 50% of the bases with a quality score ≤ 5), reads containing ploy-N and low quality reads that sequences containing too many unknown bases (> 5%). At the same time, Q20, Q30 and GC content the clean data were calculated. All the downstream analyses were based on the clean data with high quality. After that, the RNA-seq reads were mapped to the F. filiformis genome (Liu355) using TopHat v2.0.1253 [61]. HTSeq v0.6.1 software was used to count the read numbers mapped to each gene [62]. The FPKM value was used to calculate gene expression, and the upper-quartile algorithm was used to correct the gene expression. Gene differential expression analysis was performed using the DESeq R package (1.10.0) using a corrected p-value [63]. Genes with an adjusted Pvalue < 0.05 were considered differentially expressed. Hierarchical clustering of gene expression was conducted using Genesis 1.7.7 [64].

KEGG enrichment analysis of differentially expressed genes (DEGs)
We used KOBAS v2.0 software to test the statistical enrichment of differentially expressed genes (DEGs) in KEGG pathways (https://www.kegg.jp/kegg/). Based on the hypergeometric distribution, we predicted the enriched pathway of DEGs with all the annotation genes. The formula is below: N represented the all gene number with pathway annotation, n is the DEGs number of N, M refers the all gene number annotated in a specific pathway and m is the DEGs number annotated in a specific pathway. The pathway was defined as significant enrichment (Padj≤0.05).

Prediction of gene clusters involved in biosynthesis of secondary metabolites
The biosynthetic gene clusters were predicted using antiSMASH 3.0 software [65]. AntiSMASH currently offers a broad collection of tools and databases for automated genome mining and comparative genomics for a wide variety of different classes of secondary metabolites [66]. In addition, Sequence homology searches method (BlastP) was also used to identify genes related to terpenoid biosynthesis. The sesquiterpene synthases were identified based on multiple sequence alignments and phylogenetic analyses developed by the Schmidt-Dannert group [44]. It has been reported that a more divergent cytochrome P450 oxidase could be involved in secondary biosynthesis [67]. Therefore, we searched the genome of F. filiformis for proteins with a P450 conserved domain using the NCBI CDD tool and BLASTp [40] and also by homology BLAST in the Fungal Cytochrome P450 Database (p450.riceblast.snu.ac.kr/ index.php? a = view) to obtain the annotated gene for cytochrome P450. In addition, CAZymes were identified using the Carbohydrate Active enZymes (CAZy) database [68]. We performed DIAMOND search against the CAZy pre-annotated CAZyme sequence database and combined with corresponding gene functional annotation to get the annotation result. TransposonPSI software was used as transposon gene prediction and this software uses PSI-BLAST to detect distant homology between genomic sequences and a TE library bundled with the program [69]. Secretory proteins was predicted with Signal P4.1 server (http://www.cbs.dtu.dk/services/sig-nalP/) searching in all encoding amino acid sequence of F. filiformis genome.