JOURNAL ARTICLE

Association between melanin deposits in gill tissue and microbiome across different hatchery reared Atlantic salmon.

  • Published In: Journal of Applied Microbiology, 2023, v. 134, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Quezada-Rodriguez, Petra R; Taylor, Richard S; Jantawongsri, Khattapan; Nowak, Barbara F; Wynne, James W 3 of 3

Abstract

This study investigates the relationship between gill microbial communities and gill pathology in Atlantic salmon across a production cycle in two commercial freshwater hatcheries with differing water sources and rearing systems: one combining recirculation aquaculture system (RAS) and flowthrough (FT) using riverine water, and the other using bore water with continuous RAS. Using 16S rDNA amplicon sequencing alongside histopathology and water quality data, the researchers found that melanin deposits in gill tissues were prevalent in early life stages and correlated with distinct shifts in bacterial community composition, including higher abundances of genera such as Sphaerotilus, Pseudomonas, and Nitrospira. The study also observed that bacterial diversity increased when fish transitioned from RAS to FT systems, and that hyperplastic and inflammatory lesions correlated with specific bacterial taxa rather than overall diversity changes. These findings suggest a link between the commensal gill microbiome and gill health status under commercial aquaculture conditions, highlighting the potential role of microbial community dynamics in gill pathology development.

Additional Information

  • Source:Journal of Applied Microbiology. 2023/02, Vol. 134, Issue 2, p1
  • Document Type:Article
  • Subject Area:Zoology
  • Publication Date:2023
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxac073
  • Accession Number:162823966
  • Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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