Variations of the intestinal gut microbiota of farmed rainbow trout, Oncorhynchus mykiss (Walbaum), depending on the infection status of the fish

Aims The aim of the present study was to investigate the composition of the intestinal microbiota during the acute stage of a bacterial infection to understand how dysbiosis of the gut may influence overall taxonomic hierarchy and diversity, and determine if there exists a bacterial taxon(s) that serve as markers for healthy or diseased rainbow trout (Oncorhynchus mykiss). Methods and Results From July to September 2015, 29 specimens of 3-year-old (an average weight from 240 center dot 9 +/- 37 center dot 7 to 850 center dot 7 +/- 70 center dot 1 g) rainbow trout O. mykiss were studied. Next-generation high-throughput sequencing of the 16S ribosomal RNA genes was applied to stomach and intestinal samples to compare the impact of infection status on the microbiota of rainbow trout O. mykiss (Walbaum) from the northwest part of Eurasia (Karelian region, Russia). The alpha diversity (Chao1, Simpson and Shannon index) of the microbial community of healthy rainbow trout was significantly higher than in unhealthy fish. The greatest contribution to the gut microbial composition of healthy fish was made by OTU's belonging to Bacillus, Serratia, Pseudomonas, Cetobacterium and Lactobacillus. Microbiota of unhealthy fish in most cases was represented by the genera Serratia, Bacillus and Pseudomonas. In microbiota of unhealthy fish there were also registered unique taxa such as bacteria from the family Mycoplasmataceae and Renibacterium. Analysis of similarities test revealed the significant dissimilarity between the microbiota of stomach and intestine (P <= 0 center dot 05). Conclusions A substantial finding was the absence of differences between microbial communities of the stomach and intestine in the unhealthy groups if compared with healthy fish. Significance and Impact of the Study These results demonstrated alterations of the gut microbiota of farmed rainbow trout, O. mykiss during co-infections and can be useful for the development of new strategies for disease control programs.