Comparison of the effects of four commercially available prescription diet regimens on the fecal microbiome in healthy dogs
| Autor: | Hitomi Oda, Toshinori Sako, Yasushi Kataoka, Ryoko Kibe, Akihiro Mori, Ai Goto |
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| Rok vydání: | 2019 |
| Předmět: |
DNA
Bacterial Male 040301 veterinary sciences Phylum Firmicutes microbiome Physiology Phylum Proteobacteria Biology Polymerase Chain Reaction 0403 veterinary science Feces 03 medical and health sciences Dogs Renal diet Internal Medicine Animals Microbiome Medical prescription 030304 developmental biology 0303 health sciences Full Paper Bacteria General Veterinary 04 agricultural and veterinary sciences Animal Feed Diet Gastrointestinal Microbiome Phylum Actinobacteria dog Female Phylum Fusobacteria |
| Zdroj: | The Journal of Veterinary Medical Science |
| ISSN: | 1347-7439 0916-7250 |
| DOI: | 10.1292/jvms.19-0055 |
| Popis: | The effects of prescription diets on canine intestinal microbiota are unknown. In this study, we used next generation sequencing to investigate the impact of four commercially available prescription diet regimens on the fecal microbiome in six healthy dogs. The diet regimens used were as follows: weight-loss diet, low-fat diet, renal diet, and anallergenic diet. We found a significantly decreased proportion of phylum Actinobacteria with the weight-loss diet compared to the anallergenic diet. There were no significant differences in the proportion of phylum Bacteroidetes between the four diets. The proportion of phylum Firmicutes was significantly decreased with the weight-loss diet compared to the anallergenic diet. The proportion of phylum Fusobacteria was significantly increased with the weight-loss diet compared to the anallergenic diet. There were no significant differences in the proportion of phylum Proteobacteria after consumption of the four diets. We therefore demonstrated that commercial prescription diet influences the fecal microbiome in healthy dogs. These results might be useful when choosing a prescription diet for targeting a disease. |
| Databáze: | OpenAIRE |
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