Draft genome sequences of five glacial fungi from Styx Glacier, Antarctica
Ji Seon Kim, Chang Wan Seo, Young Woon Lim

TL;DR
This paper presents draft genomes of four fungi from Antarctica's Styx Glacier, revealing how they adapt to extreme environments and their possible uses in biotechnology.
Contribution
The study provides new draft genomes of glacial fungi, offering insights into their adaptation and biotechnological potential.
Findings
Four high-quality draft genomes of fungi from Styx Glacier were generated.
The genomes reveal evolutionary adaptations to extreme glacial environments.
Potential biotechnological applications of these fungi were identified.
Abstract
We generated four high-quality draft genomes of fungi isolated from Styx Glacier, Antarctica. The genome announcement of these fungal strains offers insights into their evolution and adaptation to extreme glacial environments, as well as their potential biotechnological applications.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Fig 1| Strain no. | Styx10C10M-37 | Styx25C50M-22 | Styx10C100M-05 | Styx25C100M-44 | |
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| Tryptone soy broth/10°C | Nutrient broth/25°C | Tryptone soy broth/10°C | Potato dextrose broth/25°C | ||
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| GenBank accession no. | ITS: |
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| Total bases (bp) | 5,829,209,436 | 5,919,985,200 | 4,800,517,406 | 5,339,958,564 | |
| No. of reads | 38,604,036 | 39,205,200 | 31,791,506 | 35,363,964 | |
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| Total bases (bp) | 4,714,916,066 | 5,531,211,399 | 5,973,422,600 | 12,559,060,800 | |
| No. of reads | 2,403,038 | 549,979 | 252,618 | 2,186,363 | |
| 3,247 | 22,456 | 44,087 | 33,005 | ||
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| Assembler type | NextDenovo | Flye | Flye | NextDenovo |
| Contig no. | 3 | 34 | 15 | 13 | |
| Genome size (bp) | 26,888,994 | 18,515,233 | 47,265,203 | 47,860,354 | |
| Nanopore coverage (×) | 102.74 | 279 | 96 | 301.38 | |
| NovaSeq coverage (×) | 99 | 299 | 91 | 99 | |
| GC content (%) | 47.78 | 60.78 | 50.27 | 49.56 | |
| 2 | 7 | 4 | 4 | ||
| 6,884,066 | 747,440 | 5,744,238 | 5,591,736 | ||
- —Korea Polar Research Institutehttp://dx.doi.org/10.13039/501100004230
- —Korea Institute of Marine Science and Technology promotionhttp://dx.doi.org/10.13039/501100011705
- —Korea Institute of Marine Science and Technology promotionhttp://dx.doi.org/10.13039/501100011705
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Taxonomy
TopicsPolar Research and Ecology · Protist diversity and phylogeny · Microbial Community Ecology and Physiology
ANNOUNCEMENT
Glaciers entrap various ancient elements, such as organic/inorganic particles and gases (1–3), and there have been some reports of entrapped microbes with potential for resuscitation (2, 4, 5). In 2023, we isolated historical fungal strains from glacial cores sampled from the Styx glacier, Antarctica (−73.851667, 163.687000) through collaboration with the Division of Glacier and Earth Sciences of the Korea Polar Research Institute (6). Four strains were selected based on the need for further taxonomic and ecological characterization (e.g., unique traits or understudied taxonomic groups) (see Table 1 for detailed strain information).
For taxonomic identification, genomic DNA extraction, PCR amplification, and sequencing were performed following the methods described in previous studies (7). Primer sets ITS1/ITS4 (8) and LR0R/LR5 (9) were used for amplifying ITS and nrLSU regions, respectively, with the same primer sets utilized for both PCR and sequencing. Sequences were manually edited using Geneious Prime version 2024.0.7 (https://www.geneious.com) and then deposited in GenBank (Table 1). Sequences were aligned with reference sequences using MAFFT with the L-INS-i option (10), and a phylogenetic tree was constructed with RAxML employing the GTR + GAMMA model and 1,000 bootstrap replicates (11). Taxonomic identification was finalized based on the phylogenetic trees (Fig. 1).
Maximum likelihood phylogenetic trees for the identification of four glacial fungal strains, highlighting those in color. (A) Phylogenetic tree of the Leotiomycetes lineage based on ITS and LSU for identifying Leotiomycetes sp. (Styx10C10M-37). (B) ITS-based phylogenetic tree of the genus Moesziomyces for identifying Moesziomyces antarcticus (Styx25C50M-22). (C) ITS-based phylogenetic tree of the genus Peroneutypa lineage for identifying Peroneutypa scoparia (Styx10C100M-05) and Peroneutypa sp. (Styx25C100M-44). Each branch leaf shows the species name followed by the strain number. GenBank accession numbers for the strains are shown in panel A with ITS and LSU in parentheses, and in panels B and C, only the ITS number is provided.
For genome sequencing, strains for high-molecular-weight (HMW) DNA extraction were grown in 150 mL potato dextrose broth (Difco, USA) at 25°C with shaking at 150 rpm. Mycelia were dehydrated using a vacuum pump (GAST, USA), and HMW DNA was extracted with the Promega Wizard high-molecular-weight (HMW) extraction kit (Madison, WI) or a modified CTAB protocol. Genomic DNA was sequenced using a combination of NovaSeq 6000 and Oxford Nanopore Technologies (ONT) platforms. For long-read sequencing, library preparation and sequencing were conducted at the National Instrumentation Center for Environmental Management, Seoul National University (Republic of Korea). Libraries were constructed using the Ligation Sequencing Kit (SQK-LSK-109; ONT, UK) without shearing. Small DNA fragments were removed with a Circulomics Short Read Eliminator kit, and sequencing was performed on a PromethION 24 with an R9.4.1 flow cell and MinKNOW 21.11.7. Long-read sequence data were filtered and base-called with Guppy version 6.5.7 (https://community.nanoporetech.com). Raw reads were trimmed using Porechop version 0.2.4 (https://github.com/rrwick/Porechop). For short-read polishing, library preparation and sequencing were conducted at Macrogen (Republic of Korea). The library was constructed using the TruSeq Nano DNA kit, followed by sequencing on the Illumina NovaSeq 6000 platform with paired-end 2 × 151 bp reads. Raw reads were trimmed with fastp version 0.23.2 (12) using default settings and assembled using NextDenovo version 2.5.2 (13) or Flye version 2.9.2 (14). The assembled reads were polished with four rounds each of Racon version 1.5.0 (15) and Hapo-G version 1.3.1 (16). Assembly quality and completeness statistics, including N50 and L50, were obtained using QUAST version 5.2.0 (17). Tapestry version 1.0.0 was used to visualize sequencing depth uniformity, contiguity, and telomere completeness, with telomere “CTGGTG” (18). Contig selection was performed via Tapestry version 1.0.0. Data from the final assemblies are summarized in Table 1.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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