Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea
- PMID: 33051444
- PMCID: PMC7553992
- DOI: 10.1038/s41597-020-00695-9
Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea
Abstract
A high number of viral metagenomes have revealed countless genomes of putative bacteriophages that have not yet been identified due to limitations in bacteriophage cultures. However, most virome studies have been focused on marine or gut environments, thereby leaving the viral community structure of freshwater lakes unclear. Because the lakes located around the globe have independent ecosystems with unique characteristics, viral community structures are also distinctive but comparable. Here, we present data on viral metagenomes that were seasonally collected at a depth of 1 m from Lake Soyang, the largest freshwater reservoir in South Korea. Through shotgun metagenome sequencing using the Illumina MiSeq platform, 3.08 to 5.54-Gbps of reads per virome were obtained. To predict the viral genome sequences within Lake Soyang, contigs were constructed and 648 to 1,004 putative viral contigs were obtained per sample. We expect that both viral metagenome reads and viral contigs would contribute in comparing and understanding of viral communities among different freshwater lakes depending on seasonal changes.
Conflict of interest statement
The authors declare no competing interests.
Figures


Similar articles
-
Genomes of Novel Microbial Lineages Assembled from the Sub-Ice Waters of Lake Baikal.Appl Environ Microbiol. 2017 Dec 15;84(1):e02132-17. doi: 10.1128/AEM.02132-17. Print 2018 Jan 1. Appl Environ Microbiol. 2017. PMID: 29079621 Free PMC article.
-
Microbial metagenomes from Lake Soyang, the largest freshwater reservoir in South Korea.Sci Data. 2025 Jul 11;12(1):1201. doi: 10.1038/s41597-025-05569-6. Sci Data. 2025. PMID: 40645966 Free PMC article.
-
Genome characteristics and environmental distribution of the first phage that infects the LD28 clade, a freshwater methylotrophic bacterial group.Environ Microbiol. 2017 Nov;19(11):4714-4727. doi: 10.1111/1462-2920.13936. Epub 2017 Nov 2. Environ Microbiol. 2017. PMID: 28925542
-
Metagenomic Analysis of Virioplankton from the Pelagic Zone of Lake Baikal.Viruses. 2019 Oct 29;11(11):991. doi: 10.3390/v11110991. Viruses. 2019. PMID: 31671744 Free PMC article.
-
Metaviromics coupled with phage-host identification to open the viral 'black box'.J Microbiol. 2021 Mar;59(3):311-323. doi: 10.1007/s12275-021-1016-9. Epub 2021 Feb 23. J Microbiol. 2021. PMID: 33624268 Review.
Cited by
-
Bacteriophage classification for assembled contigs using graph convolutional network.Bioinformatics. 2021 Jul 12;37(Suppl_1):i25-i33. doi: 10.1093/bioinformatics/btab293. Bioinformatics. 2021. PMID: 34252923 Free PMC article.
-
Metagenome sequencing and recovery of 444 metagenome-assembled genomes from the biofloc aquaculture system.Sci Data. 2023 Oct 17;10(1):707. doi: 10.1038/s41597-023-02622-0. Sci Data. 2023. PMID: 37848477 Free PMC article.
-
The Viral Fraction Metatranscriptomes of Lake Baikal.Microorganisms. 2022 Sep 29;10(10):1937. doi: 10.3390/microorganisms10101937. Microorganisms. 2022. PMID: 36296212 Free PMC article.
-
Genomic Analysis and Taxonomic Characterization of Seven Bacteriophage Genomes Metagenomic-Assembled from the Dishui Lake.Viruses. 2023 Sep 30;15(10):2038. doi: 10.3390/v15102038. Viruses. 2023. PMID: 37896815 Free PMC article.
-
Accurate identification of bacteriophages from metagenomic data using Transformer.Brief Bioinform. 2022 Jul 18;23(4):bbac258. doi: 10.1093/bib/bbac258. Brief Bioinform. 2022. PMID: 35769000 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources