ArticleData in brief2023
How to define fish pathogen relatives from a 16S rRNA sequence library and Pearson correlation analysis between defined OTUs from the library: Supplementary data to the research article "Presence and habitats of bacterial fish pathogen relatives in a marine salmon post-smolt RAS".
Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- A review on comparative analysis of marine and freshwater fish gut microbiomes: insights into environmental impact on gut microbiota.FEMS microbiology ecology · 2025Review
- Article
- Ecology and risks of the global plastisphere as a newly expanding microbial habitat.Innovation (Cambridge (Mass.)) · 2024Article
- Enrichment of antibiotic resistant genes and pathogens in face masks from coastal environments.Journal of hazardous materials · 2023Article
- Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper provides supplementary data to the research paper ''Presence and habitats of bacterial fish pathogen relatives in a marine salmon post-smolt RAS" [1]. Here, environmental samples from a marine recirculating aquaculture system (RAS) were subjected to microbiome studies. This data article adds value to the research article by providing open access to data files that increased information retrieval from the 16S rRNA sequence library. A fasta file of full-length 16S rRNA sequences from fish pathogenic microbes was deposited in the Mendeley data repository, a collection named "Fish Pathogen Database". Alignment of this database against the short sequences in the 16S rRNA library revealed the fish pathogen-relatives. Furthermore, a link to a CSV file containing Pearson correlation data was provided, an analysis based on the relative abundance information of all operational taxonomic units defined in the microbiome dataset. Included also, the methodological description of the Pearson correlation analysis, as well as a table where correlation data for the defined fish pathogen-relatives was retrieved from the large data file (Table 1).
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