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1.
Sci Rep ; 13(1): 22563, 2023 12 19.
Article in English | MEDLINE | ID: mdl-38110473

ABSTRACT

Via 16S rRNA gene amplicon sequencing, this study explores whether the gut mucus microbiota of rainbow trout is affected by the interaction of a plant-protein-based diet and a daily handling stressor (chasing with a fishing net) across two genetic lines (A, B). Initial body weights of fish from lines A and B were 124.7 g and 147.2 g, respectively. Fish were fed 1.5% of body weight per day for 59 days either of two experimental diets, differing in their fish meal [fishmeal-based diet (F): 35%, plant-based diet (V): 7%] and plant-based protein content (diet F: 47%, diet V: 73%). No diet- or stress-related effect on fish performance was observed at the end of the trial. However, we found significantly increased observed ASVs in the intestinal mucus of fish fed diet F compared to diet V. No significant differences in Shannon diversity could be observed between treatments. The autochthonous microbiota in fish fed with diet V was dominated by representatives of the genera Mycoplasma, Cetobacterium, and Ruminococcaceae, whereas Enterobacteriaceae and Photobacterium were significantly associated with diet F. The mucus bacteria in both genetic lines were significantly separated by diet, but neither by stress nor an interaction, as obtained via PERMANOVA. However, pairwise comparisons revealed that the diet effect was only significant in stressed fish. Therefore, our findings indicate that the mucus-associated microbiota is primarily modulated by the protein source, but this modulation is mediated by the stress status of the fish.


Subject(s)
Gastrointestinal Microbiome , Microbiota , Oncorhynchus mykiss , Animals , Oncorhynchus mykiss/metabolism , Plant Proteins/metabolism , RNA, Ribosomal, 16S/genetics , RNA, Ribosomal, 16S/metabolism , Gastrointestinal Microbiome/genetics , Diet , Animal Feed/analysis
2.
Anim Microbiome ; 5(1): 33, 2023 Jun 29.
Article in English | MEDLINE | ID: mdl-37386608

ABSTRACT

BACKGROUND: The aim of the present study was to characterize the effects of handling stress on the microbiota in the intestinal gut contents of rainbow trout (Oncorhynchus mykiss) fed a plant-based diet from two different breeding lines (initial body weights: A: 124.69 g, B: 147.24 g). Diets were formulated in accordance with commercial trout diets differing in their respective protein sources: fishmeal (35% in fishmeal-based diet F, 7% in plant protein-based diet V) and plant-based proteins (47% in diet F, 73% in diet V). Experimental diets were provided for 59 days to all female trout in two separate recirculating aquaculture systems (RASs; mean temperature: A: 15.17 °C ± 0.44, B: 15.42 °C ± 0.38). Half of the fish in each RAS were chased with a fishing net twice per day to induce long-term stress (Group 1), while the other half were not exposed to stress (Group 0). RESULTS: No differences in performance parameters were found between the treatment groups. By using 16S rRNA amplicon sequencing of the hypervariable region V3/V4, we examined the microbial community in the whole intestinal content of fish at the end of the trial. We discovered no significant differences in alpha diversity induced by diet or stress within either genetic trout line. However, the microbial composition was significantly driven by the interaction of stress and diet in trout line A. Otherwise, in trout line B, the main factor was stress. The communities of both breeding lines were predominantly colonized by bacteria from the phyla Fusobacteriota, Firmicutes, Proteobacteria, Actinobacteriota, and Bacteroidota. The most varying and abundant taxa were Firmicutes and Fusobacteriota, whereas at the genus level, Cetobacterium and Mycoplasma were key components in terms of adaptation. In trout line A, Cetobacterium abundance was affected by factor stress, and in trout line B, it was affected by the factor diet. CONCLUSION: We conclude that microbial gut composition, but neither microbial diversity nor fish performance, is highly influenced by stress handling, which also interacts with dietary protein sources. This influence varies between different genetic trout lines and depends on the fish's life history.

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