Literature DB >> 35979510

Draft Genomes of Six Wild Poisonous Mushrooms.

Sittiporn Parnmen1, Nattakarn Nooron1, Sujitra Sikaphan1, Chutimon Uttawichai1, Dutsadee Polputpisatkul1, Sriprapa Phatsarapongkul1, Rungsaeng Chankunasuka1, Unchalee Nitma1, Chidkamon Thunkhamrak1, Nisakorn Palakul1, Khwanruan Naksuwankul2, Onanong Pringsulaka3, Achariya Rangsiruji4.   

Abstract

Foodborne illnesses caused by wild mushroom poisoning occur globally and have led to food safety concerns. Here, we reported de novo genome assemblies of the six most commonly encountered toxic mushrooms in Thailand. These comprised Amanita brunneitoxicaria, Cantharocybe virosa, Chlorophyllum molybdites, Entoloma mastoideum, Pseudosperma sp. and Russula subnigricans. The nuclear genome sizes of these species ranged from 40 to 77 Mb, with the number of predicted genes ranging from 5,375 to 14,099. The mitogenome sizes varied from 41,555 to 78,907 bp. The resulting draft genomes of these poisonous mushrooms provide insights into toxin-related genes that may be used to establish genetic markers for monitoring mushroom poisoning outbreaks. © The author(s).

Entities:  

Keywords:  De novo genome assembly; Mitogenome; Poisonous mushroom; Toxin-related gene

Year:  2022        PMID: 35979510      PMCID: PMC9379371          DOI: 10.7150/jgen.75652

Source DB:  PubMed          Journal:  J Genomics


Introduction

Foraging wild mushrooms is a popular leisure activity. However, due to their morphological resemblance, poisonous mushrooms are often misidentified as edible species. Unintentional ingestion of toxic mushrooms can result in adverse poisoning effects, ranging from mild gastrointestinal symptoms to severe cytotoxic effects and death of patients 1-5. Gastrointestinal irritant mushroom poisoning was most commonly encountered, followed by neurotoxic, cytotoxic, myotoxic and metabolic/endocrine toxicity mushroom poisoning 1. This study revealed the first report of draft genomes of six common poisonous mushrooms in Thailand. These included Amanita brunneitoxicaria, Cantharocybe virosa, Chlorophyllum molybdites, Entoloma mastoideum, Pseudosperma sp. and Russula subnigricans. According to the classification of mushroom toxicity by White et al. 6, these mushrooms cause five major types of toxicity, including cytotoxicity (A. brunneitoxicaria, D346), neurotoxicity (Pseudosperma sp., D523), myotoxicity (R. subnigricans, D338), metabolic/endocrine toxicity (C. virosa, D287), gastrointestinal toxicity (C. molybdites, D392), and gastrointestinal toxicity coupled with neurotoxicity (E. mastoideum, D322). Although ingestion of most of these mushrooms resulted in mild poisoning symptoms 4,5,7, A. brunneitoxicaria and R. subnigricans caused fatal mushroom poisoning 1,3.

Materials and Methods

Mushroom samples were identified based on morphological and chemical characteristics, as well as ITS sequences 2-5. Genomic DNA was extracted from fruiting bodies using the DNeasyTM Plant Mini Kit (QIAGEN, Germany). DNA concentrations of the samples were measured using fluorescence-based QubitTM quantitation assays (Qubit® 2.0 Fluorometer, Invitrogen, USA). Paired-end libraries (2 x 150 bp) were prepared using the TruSeq Nano DNA Kit (Illumina®, USA) and subsequently sequenced on the NovaSeq 6000 platform (Illumina®, USA). Paired-end reads were quality filtered using BBDuk [qtrim=rl, trimq=20, minlength=30], and normalized read coverage was obtained using BBNorm [target=40, mindepth=6] (http://jgi.doe.gov/data-and-tools/bb-tools/). The filtered paired-end reads were assembled using SPAdes V 3.15.2 with different k-mers 8. Completeness evaluation of the final assemblies was conducted using BUSCO version 5.5.2 9. Eukaryotic gene prediction was carried out using AUGUSTUS version 3.4.0 10,11 with parameters trained from Coprinopsis cinerea. The orthologous gene clusters were compared using OrthoVenn2 12. Fungal metabolite biosynthetic gene clusters were analyzed using antiSMASH 6.0 13,14. Circular mitochondrial contigs were aligned using BLAST against the Nr database (http://www.ncbi.nlm.nih.gov/blast).

Results and Discussion

Six mushroom samples (Fig. 1) obtained from mushroom poisoning cases were left from food preparation. Detection of toxins revealed the presence of hepatotoxic amatoxins in A. brunneitoxicaria 3, and lethal cycloprop-2-ene carboxylic acid in R. subnigricans 15, 16.
Figure 1

Mushroom samples. (A) A. brunneitoxicaria (D346), (B) C. virosa (D287), (C) C. molybdites (D392), (D) E. mastoideum (D322), (E) Pseudosperma sp. (D523) and (F) R. subnigricans (D338).

De novo draft genome assemblies revealed the median read depth ranging from 82x to 118x. The coverage of genomes ranged from 97x to 115x. The longest scaffold length (800,654 bp) was present in C. molybdites. Details of the genome features of the six poisonous mushrooms are shown in Table 1. The complete BUSCO scores ranged from 84% to 95.7% (Fig. 2). The number of protein-coding genes predicted ranged from 5,375 to 14,099. All six mushroom species possessed 6,796 gene clusters, including 6,045 orthologous gene clusters and 751 single-copy gene clusters. The Venn diagram showed 1,194 shared gene families (Fig. 3). Of the 68 biosynthetic gene clusters obtained, toxin-related genes have been the focus of the current study. The terpene synthase gene cluster was abundantly found in all mushroom genomes. This gene family corresponds to the largest group of secondary metabolite products in fungi 17. The six mitogenomes ranged in size from 41,555 to 78,907 bp. For R. subnigricans, the size of mitogenome (66,439 bp) and GC content (21.6%) were similar to those reported in a previous study 18. The data obtained from the resulting draft genomes of these poisonous mushrooms pave the way for the development of effective genome-based diagnostics for clinical application through in-depth genomic research.
Table 1

Genome features of six poisonous mushrooms under study.

ParameterD346D287D392D322D523D338
Genome coverage (x)10410911511110697
Number of contigs >1000 bp13,3434,6078,75814,8209,79813,345
Number of scaffolds >1000 bp12,4824,4508,07313,9838,97012,650
N50 of contigs (bp)9,58832,2389,0634,6959,9337,564
N50 of scaffolds (bp)10,45034,42310,2215,27411,4678,248
Longest scaffold length (kb)259.8674.9800.6103.4117.192.6
Total scaffold length (Mb) 77.152.049.051.855.764.2
GC content (%)44.943.543.546.239.749.0
Length of gap sequences (kb, ratio)87.4, 0.1%14.2, 0%32.8, 0.1%83.2, 0.2%56.7, 0.1%52.9, 0.1%
Number of genes predicted8,1817,3538,8088,5925,37514,099
Single-copy orthologs (%)92.695.792.585.989.484.0
Number of biosynthetic genes encoding
Indole synthase1
Nonribosomal peptide synthetase (NRPS)22212
Siderophore21
Terpene synthase7816568
Type I polyketide synthase (PKS)111
PKS-NRPS hybrid2
Mitochondrial genome (bp) 62,09441,55578,90747,46466,94966,439
GC content (%)23.421.531.92527.321.6
Figure 2

BUSCO completeness analysis for genome assemblies of six poisonous mushrooms.

Figure 3

(A) Venn diagram and (B) bar graph showing the number of gene families present in six poisonous mushrooms.

Nucleotide Sequence Accession Numbers

Genome sequences were uploaded as BioProject PRJNA834754. The raw data were deposited in the NCBI/SRA database under the accession numbers SAMN28055954 (A. brunneitoxicaria, D346), SAMN28055957 (C. virosa, D287), SAMN28055958 (C. molybdites, D392), SAMN28055959 (E. mastoideum, D322), SAMN28055955 (Pseudosperma sp., D523) and SAMN28055956 (R. subnigricans, D338).
  14 in total

1.  Identification of the toxic trigger in mushroom poisoning.

Authors:  Masanori Matsuura; Yoko Saikawa; Kosei Inui; Koichi Nakae; Masayuki Igarashi; Kimiko Hashimoto; Masaya Nakata
Journal:  Nat Chem Biol       Date:  2009-07       Impact factor: 15.040

Review 2.  Mushroom poisoning: A proposed new clinical classification.

Authors:  Julian White; Scott A Weinstein; Luc De Haro; Regis Bédry; Andreas Schaper; Barry H Rumack; Thomas Zilker
Journal:  Toxicon       Date:  2018-11-12       Impact factor: 3.033

3.  Using SPAdes De Novo Assembler.

Authors:  Andrey Prjibelski; Dmitry Antipov; Dmitry Meleshko; Alla Lapidus; Anton Korobeynikov
Journal:  Curr Protoc Bioinformatics       Date:  2020-06

4.  Phylogenetic evidence revealed Cantharocybe virosa (Agaricales, Hygrophoraceae) as a new clinical record for gastrointestinal mushroom poisoning in Thailand.

Authors:  Sittiporn Parnmen; Nattakarn Nooron; Siriwan Leudang; Sujitra Sikaphan; Dutsadee Polputpisatkul; Achariya Rangsiruji
Journal:  Toxicol Res       Date:  2019-11-26

5.  Identification of Cyclopropylacetyl-(R)-carnitine, a Unique Chemical Marker of the Fatally Toxic Mushroom Russula subnigricans.

Authors:  Masanori Matsuura; Suguru Kato; Yoko Saikawa; Masaya Nakata; Kimiko Hashimoto
Journal:  Chem Pharm Bull (Tokyo)       Date:  2016       Impact factor: 1.645

6.  Molecular identification of poisonous mushrooms using nuclear ITS region and peptide toxins: a retrospective study on fatal cases in Thailand.

Authors:  Sittiporn Parnmen; Sujitra Sikaphan; Siriwan Leudang; Thitiya Boonpratuang; Achariya Rangsiruji; Khwanruan Naksuwankul
Journal:  J Toxicol Sci       Date:  2016-02       Impact factor: 2.196

7.  antiSMASH 6.0: improving cluster detection and comparison capabilities.

Authors:  Kai Blin; Simon Shaw; Alexander M Kloosterman; Zach Charlop-Powers; Gilles P van Wezel; Marnix H Medema; Tilmann Weber
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

8.  antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences.

Authors:  Marnix H Medema; Kai Blin; Peter Cimermancic; Victor de Jager; Piotr Zakrzewski; Michael A Fischbach; Tilmann Weber; Eriko Takano; Rainer Breitling
Journal:  Nucleic Acids Res       Date:  2011-06-14       Impact factor: 16.971

9.  OrthoVenn2: a web server for whole-genome comparison and annotation of orthologous clusters across multiple species.

Authors:  Ling Xu; Zhaobin Dong; Lu Fang; Yongjiang Luo; Zhaoyuan Wei; Hailong Guo; Guoqing Zhang; Yong Q Gu; Devin Coleman-Derr; Qingyou Xia; Yi Wang
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.