Literature DB >> 28919942

Genome sequence of the white-rot fungus Irpex lacteus F17, a type strain of lignin degrader fungus.

Mengwei Yao1,2, Wenman Li1,2, Zihong Duan1,2, Yinliang Zhang1,2, Rong Jia1,2.   

Abstract

Irpex lacteus, a cosmopolitan white-rot fungus, degrades lignin and lignin-derived aromatic compounds. In this study, we report the high-quality draft genome sequence of I. lacteus F17, isolated from a decaying hardwood tree in the vicinity of Hefei, China. The genome is 44,362,654 bp, with a GC content of 49.64% and a total of 10,391 predicted protein-coding genes. In addition, a total of 18 snRNA, 842 tRNA, 15 rRNA operons and 11,710 repetitive sequences were also identified. The genomic data provides insights into the mechanisms of the efficient lignin decomposition of this strain.

Entities:  

Keywords:  Genome sequence; Hardwood tree; Irpex lacteus F17; Lignin decomposition; Short genome report; White-rot fungus

Year:  2017        PMID: 28919942      PMCID: PMC5596461          DOI: 10.1186/s40793-017-0267-x

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

, a white-rot fungus with biotechnological potential, is currently considered the most important lignocellulose-degrading organism because of its potential to degrade lignin and bioremediate other lignin-related pollutants (such as industrial dyes and aromatic pollutants) [1-3]. Lignocellulose, which is the most abundant renewable biomass in terrestrial environments, is composed of three major components: cellulose, hemicellulose, and lignin [4]. Among them, lignin is a highly irregular and heterogeneous biopolymer, which makes it recalcitrant to degradation. Compared with other wood-decay fungi, I. lacteus plays an important role in the efficient enzymatic conversion of renewable biomass, and it shows remarkable resistance to pollutant toxicity in water and soil environments [5]. is known to remove various aromatic compounds, including endocrine disruptors, synthetic dyes, and polycyclic aromatic hydrocarbons [1, 6], and it can also be used to obtain ethanol via the biological pre-treatment of lignocellulose [7]. is a cosmopolitan species that is widespread in Europe, North America, and Asia [8-10]. The fungus produces hydrolases, such as exo- and endo-cellulases, and extracellular oxidative enzymes, such as LiP, MnP, as well as Lac [11, 12], thereby showing a pattern of ligninolytic enzymes that is typical of white-rot fungi. Starting in the 1960’s, several studies by Japanese researchers mainly focused on the activities of the exo- and endo-cellulases, as well as an exo-cellulase gene, from [13]. Subsequently, the LiP and MnP of I. lacteus were isolated and characterized, and the biotechnological applicability of this fungus has drawn considerably interests in recent years [5]. Recently, we have degraded and detoxicated the synthetic dyes by using manganese peroxidase isolated from F17 [14, 15]. However, the genome sequence of has not been reported. Thus, the genomic traits of are required to reveal and elucidate the ligninolytic potential of the type strain of white-rot fungi. Here, the genome sequence of F17 is presented. To the best of our knowledge, this is the first high-quality draft genome sequence of I. lacteus available so far.

Organism information

Classification and features

The sequenced strain of F17 was isolated from a decaying hardwood tree in May 2009 in the vicinity of Hefei, China (Table 1). Figure 1a shows the growth status of F17 which was cultured on PDA medium (200 g/L of potato extract, 20 g/L of glucose, and 20 g/L of agar) after 5 days at 28 °C. The strain grew faster and formed a white colony with a diameter of 6.8 cm. The micrograph of F17 mycelia grown on PDA after 3 days was obtained by OLYMPUS BX51 (Fig. 1b). The mycelia were picked up from an agar plate using a tiny tweezer, mounted on glass slides, and then stained with an appropriate amount of fungal staining solution mixed with lactic acid, carbolic acid and cotton blue (lactic acid 10 mL, carbolic acid 10 g, glycerol 20 mL, cotton blue 0.02 g, distilled water 10 mL) for light microscopic examination (400×).
Table 1

Classification and general features of Irpex lacteus F17 [19]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Fungi TAS [5]
Phylum Basidiomycota TAS [5]
Class Basidiomycetes TAS [5]
Order Polyporales TAS [5]
Family Polyporaceae TAS [5]
Genus Irpex TAS [14]
Species Irpex lacteus TAS [14]
Strain: F17TAS [14]
Gram stainn/an/a
Cell shapeFilamentsTAS [5]
MotilityNon-motileTAS [5]
SporulationBasidiosporeNAS
Temperature rangeNot reportedn/a
Optimum temperature28 °CNAS
pH range; OptimumNot reportedn/a
Carbon sourcePotato, GlucoseTAS [14, 15]
MIGS-6HabitatDead wood, hardwood treeTAS [5, 14]
MIGS-6.3SalinityNot reportedn/a
MIGS-22Oxygen requirementAerobicTAS [14, 15]
MIGS-15Biotic relationshipFree-livingTAS [5]
MIGS-14PathogenicityNot reportedn/a
MIGS-4Geographic locationMountain Dashu, Hefei, ChinaTAS [14, 15]
MIGS-5Sample collectionMay 2009TAS [14]
MIGS-4.1Latitude31.85NAS
MIGS-4.2Longitude117.27NAS
MIGS-4.4Altitude284 mNAS

aEvidence codes - IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [33]

Fig. 1

a: Colony of I. lacteus F17 grown on PDA medium for 5 days at 28 °C; b: Micrograph of I. lacteus F17 mycelia using optical microscope with 400× magnification. Mycelia were stained with lactophenol cotton blue stain solution

Classification and general features of Irpex lacteus F17 [19] aEvidence codes - IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [33] a: Colony of I. lacteus F17 grown on PDA medium for 5 days at 28 °C; b: Micrograph of I. lacteus F17 mycelia using optical microscope with 400× magnification. Mycelia were stained with lactophenol cotton blue stain solution F17 resides in the Eukaryota, in the Fungal Kingdom, and it belongs to the family Polyporaceae, order Polyporales, class Basidiomycetes, Phylum Basidiomycota. Several other white-rot fungi with important biological function are members of the Polyporales, including , , , , and . F17 has been identified and classified based on its Internal Transcribed Spacer region in our previous study [14]. The 18S rRNA gene data of F17 and several other Polyporales species were aligned using ClustalW [16]. Phylogenetic analysis based on the nearest neighbor joining method was performed using the MEGA6 package [17]. The confidence levels for the individual branches were determined by bootstrap analysis with 1000 replicates. The final phylogenetic tree was visualized with TreeView [18]. F17 is phylogenetically closely related to (Fig. 2).
Fig. 2

Phylogenetic tree based on 18S rRNA gene showing phylogenetic position of I .lacteus F17. Sequences were subjected to phylogenetic analysis using CLUSTALW [16] and MEGA 6.0 [17] to construct a nearest neighbor joining tree. The GenBank accession numbers for each strain are listed in parenthesis. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) was shown next to the branches. The GenBank accession numbers for each strain were listed in parenthesis. The tree was drawn by TreeView [18], and the scale bar represents 0.1 nucleotide substitution per nucleotide position

Phylogenetic tree based on 18S rRNA gene showing phylogenetic position of I .lacteus F17. Sequences were subjected to phylogenetic analysis using CLUSTALW [16] and MEGA 6.0 [17] to construct a nearest neighbor joining tree. The GenBank accession numbers for each strain are listed in parenthesis. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) was shown next to the branches. The GenBank accession numbers for each strain were listed in parenthesis. The tree was drawn by TreeView [18], and the scale bar represents 0.1 nucleotide substitution per nucleotide position

Genome sequencing information

Genome project history

F17 was selected for sequencing due to its bioremediation of organic pollutants and application to enzymatic biotechnologies. The genome of this strain was sequenced by SMRT technology, and genome assembly and annotation were performed at the Beijing Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). The whole genome shotgun project was started in May 2016, finished in August 2016 and has been submitted to NCBI under the accession number of MQVO00000000. Table 2 summarized the project data. The project information was in compliance with MIGS version 2.0 [19].
Table 2

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityHigh-quality draft
MIGS-28Libraries usedIllumina:350 bp small fragment libraryPacBio: 20 kb SMRT Bell library
MIGS 29Sequencing platformsIllumina HiSeq PE150PacBio RSII
MIGS 31.2Fold coverageIllumina: 20×PacBio: 70×
MIGS 30AssemblersSOAP denovoSMRT 2.3.0
MIGS 32Gene calling methodPASA/Cufflinks/Augustus 2.7
Locus TagBSQ47
Genbank IDMQVO00000000
Genbank Date of ReleaseFebruary 06, 2017
GOLD IDNA
BIOPROJECTPRJNA354901
MIGS 13Source Material IdentifierF17
Project relevanceBiotechnology, mycology
Project information

Growth conditions and genomic DNA preparation

F17 was deposited at the CCTCC under the accession number of 10.1601/strainfinder?urlappend=%3Fid%3DCCTCC+AF+2014020. The strain was grown on PDA slants for 5 days at 28 °C, at which time the mycelia were scraped from the medium and lysed by liquid nitrogen grinding. The genomic DNA was extracted using the sodium dodecyl sulfate method. The harvested DNA was analyzed by agarose gel electrophoresis and purified using AMpure PB magnetic beads and then quantified by a Qubit® 2.0 fluorometer (Thermo Scientific, USA). In the end, the total amount of 28 μg DNA with a final concentration higher than 50 ng/μL and a A260/A280 ratio of 1.9 was placed in dry ice and sent to the sequencing.

Genome sequencing and assembly

A fungal survey by Illumina massively parallel sequencing technology was first used to make an evaluation for the fine mapping and assembly optimization of the fungal genome preassembling. Then the genome of F17 was sequenced by using PacBio’s SMRT technology. For the Illumina sequencing, the genome was sequenced using a single 350 bp insert genomic DNA library that was generated on a HiSeq 4000 PE150 system (Illumina, San Diego, CA, USA). For the PacBio sequencing, the genomic DNA was sheared into 20 kb fragments using a g-TUBE (Covaris, Woburn, MA, USA), and it was sequenced on an RSII system (PacBio, Menlo Park, CA, USA) after constructing the SMRT Bell library. The average sequencing depth of the 350 bp library was 20×, whereas the depth of the PacBio library was 70×. Two assembly strategies were used respectively after filtering low-quality reads. A fungal survey produced 1564 Mb of clean data from 1700 Mb of raw data using SOAP denovo technology [20]. The PacBio subreads which were assembled into a primary assembly were completed with the Hierarchical Genome Assembly Process (Pacific Biosciences). A total of 3494 Mb of clean data were detected from the genome of F17 using samtools to fix the errors from the PacBio. The low quality reads were filtered by the SMRT 2.3.0 technology [21], and the filtered reads were assembled to generate one contig without gaps. A total of 317 contigs with an N50 of 1.15 Mb were generated from F17 genome. Finally, a 44.36 Mb draft genome of F17 was obtained. In addition, we used BUSCO [22] to assess the completeness of F17 genome and the genome has an estimated completeness of 86.9%, which indicated that we obtained a high-quality genome assembly in this study.

Genome annotation

By combining three types of genotype calling, including de novo PASA prediction of Transdecoder/Glimmer/Snap based on transcriptome data, Cufflinks prediction based on transcriptome data and de novo Augustus (version 2.7) [23], a total number of 10,391 protein coding genes were predicted. The interspersed repetitive sequences were predicted using the RepeatMasker [24]. The tandem repeats were analyzed by the Tandem Repeats Finder [25] and the tRNA genes were predicted by the tRNAscan-SE [26]. The rRNA genes were analyzed by the rRNAmmer [27] and the snRNA were predicted by BLAST against the Rfam [28, 29] database. In the end, 18 snRNA, 842 tRNA, 15 rRNA operons and a total of 11,710 repetitive sequences were identified in the genome. Seven databases, including Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, COG, Non-Redundant Protein Database, Transporter Classification Database, Swiss-Prot, and Pfam database were employed to predict gene functions. A whole genome BLAST search (E-value less than 1e-5, minimal 2 alignment length percentage larger than 40%) was performed against above seven databases. All putative proteins were compared to the entries in the CAZy database using a BLAST search. Secreted proteases were predicted with SignalP 4.1 [30] and TMHMM 2.0 [31], respectively. Other proteins that are important in wood-decay (oxidoreductases) and connected to fungal secondary metabolism were also predicted, according to a previously published method [4, 32].

Genome properties

The draft genome sequence was based on an assembly of 317 contigs amounting to 44,362,654 bp, with a GC content of 49.64% (Table 3). From the genome, 875 RNAs (including 18 snRNA, 842 tRNA, and 15 rRNA operons), as well as 11,710 repetitive sequences, were detected. In addition, a total of 10,661 genes were predicted, of which 10,391 are protein coding genes. Table 4 presented the distribution of genes into COGs functional categories. Of the last, 2065 genes (19.37%) were assigned to COG functional categories, the most abundant of them lies in the COG category named “Posttranslational modification, protein turnover, chaperones” (245 proteins) followed by “Translation, ribosomal structure and biogenesis” (215 proteins), “General function prediction only” (211 proteins), “Energy production and conversion” (168 proteins), “Nucleotide transport and metabolism” (144 proteins), “RNA processing and modification” (121 proteins), and “Intracellular trafficking and secretion” (116 proteins).
Table 3

Genome statistics

AttributeValue% of total
Genome size (bp)44,362,654100.00
DNA coding (bp)15,030,32733.88
DNA G + C (bp)22,021,62149.64
DNA scaffolds
Total genes10,661100.00
Protein coding genes10,39197.47
RNA genes8758.21
Pseudo genesunknown
Genes in internal clustersunknown
Genes with function prediction753270.65
Genes assigned to COGs206519.87
Genes with Pfam domains628758.97
Genes with signal peptides7617.1
Genes with transmembrane helices275225.81
CRISPR repeats0
Table 4

Number of genes associated with general COG functional categories

CodeValue% ageDescription
J2152.07Translation, ribosomal structure and biogenesis
A1211.16RNA processing and modification
K830.80Transcription
L560.54Replication, recombination and repair
B420.40Chromatin structure and dynamics
D630.61Cell cycle control, Cell division, chromosome partitioning
V40.04Defense mechanisms
T1141.10Signal transduction mechanisms
M220.21Cell wall/membrane/envelope biogenesis
N00.00Cell motility
U1161.12Intracellular trafficking and secretion
O2452.36Posttranslational modification, protein turnover, chaperones
C1681.62Energy production and conversion
G780.75Carbohydrate transport and metabolism
E1441.39Amino acid transport and metabolism
F440.42Nucleotide transport and metabolism
H450.43Coenzyme transport and metabolism
I860.83Lipid transport and metabolism
P640.62Inorganic ion transport and metabolism
Q280.27Secondary metabolites biosynthesis, transport and catabolism
R2112.03General function prediction only
S660.64Function unknown
837480.59Not in COGs

The total is based on the total number of protein coding genes in the genome

Genome statistics Number of genes associated with general COG functional categories The total is based on the total number of protein coding genes in the genome A total of 320 CAZyme-encoding genes were identified, including 53 CBMs, 161 GHs, 30 glycosyl transferases, four polysaccharide lyases, 64 AAs, and eight carbohydrate esterases (Additional file 1: Table S1). In conclusion, F17 possesses more CAZy families than other fungi (Additional file 2: Table S2), especially in the families AA3 (17 copies), AA9 (21 copies), CBM1 (34 copies), and GH5 (24 copies), which are all involved in plant cell wall degradation.

Insights from the genome sequence

Until now, this is the first draft genome sequence of the genus . The phylogenetic analysis based on the 18S rRNA gene data confirms its closest relationship of F17 to . Annotation of the F17 genome indicates that this strain possesses 320 carbohydrate-active enzymes, 191 lignin-related oxidoreductases, 568 secreted proteases, and six secondary metabolism gene clusters (Additional file 3: Table S3), all of which confirm its high lignin decomposition ability. Fifteen enzymes were classified as probable ligninolytic enzymes, including a Lac, an LiP, and 13 MnPs, one of which was identified previously [14]. Interestingly, both F17 and C. subvermispora have the largest number of MnPs, even greater than that of (five MnPs), as determined by comparing 34 basidiomycetes, including 26 fungal species belonging to the Polyporales, as well as eight species in Agaricales, Russulales, Hymenochaetales, and Corticiales, respectively (Additional file 4: Table S4). A high number of MnP isozymes suggest that F17 has a good ability to degrade lignin and other organic pollutants.

Conclusions

In this study, we characterized the genome of F17 that was isolated from a decaying hardwood tree in the vicinity of Hefei, China. Notably, this is a first discovered sequenced strain, and we found it has lots of lignocellulose decomposition related genes. The genome sequencing information not only revealed its ligninolytic enzyme diversity, but also contributed to a better understanding of the efficient lignin decomposition of this strain. In summary, F17 has become one of model ligninolytic basidiomycetes whose availability of genomic sequences will facilitate future genetic engineering to degrade lignin and other organic pollutants. Table S1. Total CAZy families in I. lacteus F17. (XLSX 17 kb) Selection of the CAZy families involved in plant cell wall degradation. (XLS 40 kb) Gene contents in oxidoreductases, secreted proteases and secondary metabolism in the genomes of I. lacteus F17. (DOCX 15 kb) Comparison of the number of MnPs from 34 fungal species belonging to the Polyporales and eight other fungi. (XLS 38 kb)
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