Detecting Flavobacterial Fish Pathogens in the Environment Using High-Throughput Community Analysis
dataset
posted on 2024-11-23, 22:11authored byUniversity 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.
It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA732893 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."