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Detecting Flavobacterial Fish Pathogens in the Environment Using High-Throughput Community Analysis

dataset
posted on 2024-01-27, 00:15 authored by University of Connecticut Graf Lab
The goal of this study was to establish the use of Illumina 16S rRNA V4 sequencing for accurately detecting two fish pathogens, Flavobacterium columnare and Flavobacterium psychrophilum. Using NGS methods to detect pathogens can provide similar accuracy to other pathogen detection methods (depending on the pathogen) while also providing a microbiome profile simultaneously. Lake water samples were inoculated with one or both of these pathogens and then processed and sequenced to validate this approach.

Funding

U.S. Department of Agriculture, 8082-32000-006-00-D

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2021-05-26

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA732893

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