Affiliations 

  • 1 School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia; Tasmanian Institute of Agriculture, Food Safety Centre, University of Tasmania, Hobart, Tasmania, Australia. Electronic address: [email protected]
  • 2 CSIRO Agriculture, Hobart, Tasmania, Australia
  • 3 CSIRO Agriculture, Brisbane, Queensland, Australia; Institute of Aquaculture, University of Stirling, Stirling, Scotland, United Kingdom
  • 4 Tasmanian Institute of Agriculture, Food Safety Centre, University of Tasmania, Hobart, Tasmania, Australia
Res. Microbiol., 2017 Oct;168(8):751-759.
PMID: 28728852 DOI: 10.1016/j.resmic.2017.07.003

Abstract

In this study, microbial community dynamics were assessed within a simple in vitro model system in order to understand those changes influenced by diet. The abundance and diversity of bacteria were monitored within different treatment slurries inoculated with salmon faecal samples in order to mimic the effects of dietary variables. A total of five complete diets and two ingredients (plant meal) were tested. The total viable counts (TVCs) and sequencing data revealed that there was very clear separation between the complete diets and the plant meal treatments, suggesting a dynamic response by the allochthonous bacteria to the treatments. Automated ribosomal intergenic spacer analysis (ARISA) results showed that different diet formulations produced different patterns of fragments, with no separation between the complete diets. However, plant-based protein ingredients were clearly separated from the other treatments. 16S rRNA Illumina-based sequencing analysis showed that members of the genera Aliivibrio, Vibrio and Photobacterium became predominant for all complete diets treatments. The plant-based protein ingredient treatments only sustained weak growth of the genus Sphingomonas. In vitro based testing of diets could be a useful strategy to determine the potential impact of either complete feeds or ingredients on major fish gastrointestinal tract microbiome members.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.