Abstract
In the current study, we report the high-quality draft genome sequence of Neonectria sp. DH2, an endophytic fungus isolated from Meconopsis grandis Prain in Tibet. The whole genome is about 45.8 Mbp, with a GC content of 53%. A total of 14,163 genes are predicted to encode proteins, and 557 of them are considered as unique, as no matches are found in five gene databases. A neighbor-joining phylogenetic tree based on internal transcribed spacer (ITS) region sequences shows that Neonectria sp. DH2 was most closely related to Neonectria ramulariae. 47 biosynthetic gene clusters (BGC) were identified in Neonectria sp. DH2 genome, and only 5 BGCs shows significant similarities to previously reported BGCs. The presence of 42 unique BGCs in Neonectria sp. DH2 suggests that it has great potential to produce novel secondary metabolites.
Electronic supplementary material
The online version of this article (10.1007/s13205-020-02345-8) contains supplementary material, which is available to authorized users.
Keywords: Neonectria sp. DH2, Endophytic fungi, Draft genome, Secondary metabolites
Introduction
The ascomycete fungi genus Neonectria are well-known plant pathogens associated with beech and fruit trees bark canker (Calic et al. 2017; Wenneker et al. 2017; Ramsfield et al. 2013). They are also a common genus of endophytic fungal (Zhong et al. 2017; Yang et al. 2015). Some members of this genus produce bioactivity secondary metabolites. For example, endophytic fungus Neonectria ramulariae Wollenw KS-246 produces cytotoxic pyrrocidines and pyrrospirones (Shiono et al. 2008). Another Neonectria sp. isolated from a soil sample from the Qinghai-Tibetan plateaui produces oxaphenalenones and Neonectrolide A–E, which showed cytotoxic effects against human tumor cell lines (Ren et al. 2012). A fungus isolated from a Nasutitermes corniger nest and identified as Neonectria discophora SNB-CN63 displaces a potent antibacterial activity (Nirma et al. 2014). In contrast to the isolation and bioactivity study of their secondary metabolites, the genome information of Neonectria sp. remained under-exploited. Currently, only three genome sequences have been reported: Neonectria ditissima (Genebank Accession LDPL00000000, Deng et al. 2015), Neonectria punicea (Genebank Accession QGQA00000000), and Neonectria hederae (Genebank Accession QGQB00000000). Here, we reported a high-quality draft genome sequence of Neonectria sp. DH2 to better understand the genome of genus Neonectria and exploit its second metabolites production potential.
Materials and methods
Strains and cultivation conditions
Neonectria sp. DH2 was isolated from Meconopsis grandis Prain, a rare Tibetan traditional medicinal herb, in Tibet, China. The strain grew slowly on PDA medium (200 g/L of potato extract, 20 g/L of glucose, and 20 g/L agar) at 20 °C and formed white mycelium and spore gradually.
Genome sequencing, assembly and annotation
Neonectria sp. DH2 was inoculated in 300 mL PDB medium (300 g/L potato, 20 g/L glucose) and cultivated at 20 °C. Mycelium was harvested after 7 days of cultivation. Genomic DNA was extracted by QIAGEN® Genomic DNA extraction kit (Cat#13323, QIAGEN) according to the standard operating procedure provided by the manufacturer. The extracted DNA was quantified by NanoDrop™ One UV–Vis spectrophotometer (Thermo Fisher Scientific, USA) for DNA purity (OD260/280 ranging from 1.8 to 2.0 and OD 260/230 is between 2.0 and 2.2). The genomic DNA was sheared into 20-kb fragments by g-TUBEs (Covaris, USA) and it was sequenced on Sequel Sequencing Kit 2.1 (Pacific Biosciences, USA). The coverage sequencing depth was 80×. The Neonectria sp. DH2 sequence generated 454,780 raw reads consisting of 3,696,611,013 raw nucleotides. The data were assembly using CANU assembler v2.0 (Koren et al. 2017). Repeats were masked by RepeatMasker (Tarailo-Graovac and Chen 2009). The draft genome was annotated using Augustus v3.2 (Stanke et al. 2004) and Genscan v3.0 (Stifanic and Batel 2007). BUSCO v3.0 (Simao et al. 2015) (ascomycota single-copy homologous gene databases) was used to assess the completeness of Neonectria sp. DH2 genome. Of the assembled nucleotides, 96.2% of complete genetic components can be found, and 0.7% of the complete BUSCO single-copy orthologues are duplication, indicating that it is a high-quality assembly. BLAST analysis was based on the non-redundant protein database (Nr), Swiss-Prot, gene ontology (GO), cluster of orthologous groups of eukaryotic proteins (KOG) and kyoto encyclopedia of genes and genomes (KEGG) databases. RNAmmer (Lagesen et al. 2007) and tRNAscan-SE (Lowe and Eddy 1997) were used to identify rRNAs and tRNAs. The 18S rRNA gene sequence of Neonectria sp. DH2 and several other species were aligned using ClustalW (Oliver et al. 2005) and phylogenetic analysis based on the nearest neighbor-joining method was drawn using MEGA7 (Kumar et al. 2016). CRISPRs webserver was used to identify CRISPR repeats. AntiSMASH 3.0 (Medema et al. 2011) was used to predict secondary metabolite gene clusters.
Results and discussion
The assembly genome is approximately 45.8 Mbp, including 43 contigs. Table 1 shows the detail of the genome annotation. The GC content of Neonectria sp. DH2 genome is 53.00%. The longest contig is 5.08 Mbp and the N50 length is 1,899,89 bp. Approximately 1.18 Mbp repeated regions were found in the genome, accounted for 2.57% of the genome size. Gene prediction analysis yielded a total of 14,163 protein-encoding genes. Of the 14,163 genes predicted, 13,606 (96.07%) were annotated by matching against the non-redundant protein database (Nr), Swiss-Prot, gene ontology (GO), Eukaryotic orthologous groups (KOG) and kyoto encyclopedia of genes and genomes (KEGG) databases, 557 (3.93%) were considered as unique, without any matches in five databases mentioned above. In addition, 72 rRNA and 210 tRNA genes were identified. Six CRISPR repeats were detected. Among the predicted genes, 28.51% were assigned to KOG. Table 2 presents the distribution of genes into KOGs functional categories. A neighbor-joining phylogenetic tree was build based on 18 s rRNA gene sequences of Neonectria sp. DH2 (from RNAmmer) and other 33 Hypocreales fungi with outgroup of Aspergillus oryzae (Fig. 1). Neonectria sp. DH2 was clustered together with Cylindrocarpon/Neonectria genus and was most closely related to Neonectria ramulariae (Deng et al. 2015).
Table 1.
Attribute | Value |
---|---|
Genome size (Mbp) | 45 |
DNA G+C content (%) | 53 |
DNA contigs | 43 |
Contig N50 (bp) | 1,899,891 |
Largest contig (Mbp) | 5.08 |
CRISPR repeats | 6 |
rRNA | 72 |
tRNA | 210 |
Genes with function prediction | 13,606 |
Annotated in Nr | 13,597 (96.00%) |
Annotated in SwissProt | 9369 (66.15%) |
Annotated in GO | 7329 (51.75%) |
Annotated in KOG | 4038 (28.51%) |
Annotated in KEGG | 2756 (19.46%) |
Table 2.
Code | Value | %age | feature |
---|---|---|---|
B | 46 | 0.32 | Chromatin structure and dynamics |
C | 363 | 2.56 | Energy production and conversion |
E | 269 | 1.90 | Amino acid transport and metabolism |
A | 99 | 0.70 | RNA processing and modification |
F | 54 | 0.38 | Nucleotide transport and metabolism |
G | 275 | 1.94 | Carbohydrate transport and metabolism |
H | 77 | 0.54 | Coenzyme transport and metabolism |
J | 195 | 1.38 | Translation, ribosomal structure and biogenesis |
K | 134 | 0.95 | Transcription |
V | 34 | 0.24 | Defense mechanisms |
L | 84 | 0.59 | Replication, recombination and repair |
I | 336 | 2.37 | Lipid transport and metabolism |
M | 97 | 0.68 | Cell wall/membrane/envelope biogenesis |
N | 2 | 0.01 | Cell motility |
O | 328 | 2.32 | Posttranslational modification, protein turnover, chaperones |
Y | 5 | 0.04 | Nuclear structure |
T | 240 | 1.69 | Signal transduction mechanisms |
Q | 423 | 2.99 | Secondary metabolites biosynthesis, transport and catabolism |
R | 929 | 6.56 | General function prediction only |
Z | 59 | 0.42 | Cytoskeleton |
S | 206 | 1.45 | Function unknown |
P | 115 | 0.81 | Inorganic ion transport and metabolism |
W | 6 | 0.04 | Extracellular structures |
X | 1 | 0.01 | Unknown |
The total is based on the total number of protein coding genes in the genome
Most filamentous fungi produce secondary metabolites with diverse biological activities such as cholesterol-lowering, anti-tumor, and antibiotic activities. Based on domain searching of the putative biosynthetic core genes and associated genes, 47 BGCs were predicted by antiSMASH (Table 3 and Additional file 1: Table S1): 16 polyketide synthase (PKS), 15 nonribosomal peptide synthetase (NRPS), 6 polyketide–nonribosomal peptide hybrid synthase (PKS-NRPS) and 4 terpene synthase genes. Of the 47 BGCs, 5 BGCs show similarities with previously reported gene clusters (Table 4 and Additional file 2). The antiSMASH prediction suggests that Neonectria sp. DH2 may produce small molecules similar to desmethylbassianin (Fisch et al. 2011), bikaverin (Arndt et al. 2015), fujikurins (Von Bargen et al. 2015), fusaric acid (Brown et al. 2012) and LL-Z1272β (Li et al. 2016). The other 42 BGCs do not have significant homologous to previously reported BGCs, suggesting that Neonectria sp. DH2 has a remarkable potential to produce many novel secondary metabolites that might have interesting biological activities.
Table 3.
Type | Count |
---|---|
PKS | 15 |
NRPS | 13 |
T1PKS-NRPS hybrid | 6 |
Terpene | 5 |
Others | 8 |
total | 47 |
Table 4.
BGCs from Neonectria sp. DH2 | Reported BGCs | Percentage of similarity (%) |
---|---|---|
cluster3 | Desmethylbassianin biosynthetic gene cluster | 60 |
cluster14 | Bikaverin biosynthetic gene cluster | 42 |
cluster17 | Fujikurins biosynthetic gene cluster | 33 |
cluster 22 | Fusaric acid biosynthetic gene cluster | 45 |
cluster 37 | LL-Z1272β biosynthetic gene cluster | 100 |
Genome accession number and CCTCC Patent number
The whole genome project has been deposited at DDBJ/EMBL/Genebank under the accession RQWH00000000 (bioproject PRJNA507358). The strain has been submitted to China Center for Type Culture Collection (CCTCC) for patent and reservation under the patent number CCTCC M 2015499.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
This study was supported by the Science and Technology Program of Guangzhou (No. 201804010476), National Natural Science Foundation of Guangdong (No. 2018A030313334) and Fundamental Research Funds for the Central Universities (No. 17lgpy64).
Compliance and ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
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