Evidence map›Paper›PMID 42086631›Full record

ArticleScientific data2026

Virome datasets and viral metagenome-assembled genomes from aquaculture-impacted freshwater environments.

Kira Moon, Ilnam Kang, Jang-Cheon Cho

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kira MoonDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
Ilnam KangCenter for Molecular and Cell Biology, Inha University, Incheon, 22212, Republic of Korea. ikang@inha.ac.kr.ORCID http://orcid.org/0000-0003-2815-1735
Jang-Cheon ChoDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea. chojc@inha.ac.kr.ORCID http://orcid.org/0000-0002-0666-3791

Funding

Hankuk University of Foreign Studies (HUFS) NANational Research Foundation of Korea (NRF) NRF-2022R1A2C3008502
6 · The paper itself

Abstract

Bacteriophages in natural environments play a critical role in microbial ecology by regulating bacterial populations, mediating nutrient cycling, and facilitating horizontal gene transfer. Aquaculture operations, particularly inland fish farms, are major sources of anthropogenic influence on freshwater ecosystems. Here, we present three viral metagenomic datasets derived from freshwater samples collected at an inland aquaculture effluent site and adjacent upstream and downstream locations along the Sung-am River in Jincheon County, South Korea. The datasets were generated using the Illumina HiSeq X sequencing platform, yielding approximately 10.0-11.2 Gbp per sample. Quality assessments confirmed minimal bacterial contamination, with negligible proportions of rRNA and bacterial marker genes. Assembly using metaSPAdes and MEGAHIT, application of Phables to resolve high-quality phage genomes (viral metagenome-assembled genomes; vMAGs), viral identification with VirSorter2, and clustering using Vclust, resulted in 2,837-3,156 virus operational taxonomic units (vOTUs; ≥10 kb) per sample. Each vOTU sequence is analyzed for taxonomic assignment and putative host prediction. These datasets provide a valuable resource for further studies on viral diversity and microbial ecology in freshwater ecosystems affected by aquaculture.

Indexed as

AquacultureFresh WaterGenome, ViralMetagenomeViromeBacteriophagesRepublic of Korea

Identifiers

PMID42086631
PMCPMC13350812

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.