| Literature DB >> 32864871 |
Giulia Alessandri1, Chiara Argentini2, Christian Milani2,3, Francesca Turroni2,3, Maria Cristina Ossiprandi1,3, Douwe van Sinderen4, Marco Ventura2,3.
Abstract
Dogs and cats have gained a special position in human society by becoming our principal companion animals. In this context, efforts to ensure their health and welfare have increased exponentially, with in recent times a growing interest in assessing the impact of the gut microbiota on canine and feline health. Recent technological advances have generated new tools to not only examine the intestinal microbial composition of dogs and cats, but also to scrutinize the genetic repertoire and associated metabolic functions of this microbial community. The application of high-throughput sequencing techniques to canine and feline faecal samples revealed similarities in their bacterial composition, with Fusobacteria, Firmicutes and Bacteroidetes as the most prevalent and abundant phyla, followed by Proteobacteria and Actinobacteria. Although key bacterial members were consistently present in their gut microbiota, the taxonomic composition and the metabolic repertoire of the intestinal microbial population may be influenced by several factors, including diet, age and anthropogenic aspects, as well as intestinal dysbiosis. The current review aims to provide a comprehensive overview of the multitude of factors which play a role in the modulation of the canine and feline gut microbiota and that of their human owners with whom they share the same environment.Entities:
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Year: 2020 PMID: 32864871 PMCID: PMC7533323 DOI: 10.1111/1751-7915.13656
Source DB: PubMed Journal: Microb Biotechnol ISSN: 1751-7915 Impact factor: 5.813
Fig. 1General overview of the metagenomic approaches available for gut microbiota characterization. Starting from DNA extraction of the intestinal microbial community, the subsequent high‐throughput sequencing provides taxonomic insight into the gut microbiota down to the genus and species levels for 16S rRNA gene and ITS microbial profiling respectively. In addition to the taxonomic composition, whole shotgun metagenomics allows the reconstruction of the microbial genomes and prediction of the bacterial functional features.
Fig. 2Schematic representation of the main factors influencing the canine and feline gut microbiota. Specifically, age, diet, perturbation of the gut microbiota homeostasis and human–pet interplay play a crucial role in the modulation of the intestinal microbial community of dogs and cats.
Effects of feeding a raw meat‐based diet on canine and feline gut microbiota.
| Animal species | Effect of the raw meat‐based diet | References |
|---|---|---|
| Dog | Increase of the Fusobacteria and Proteobacteria phyla. Decrease of Firmicutes, especially of | Schmidt |
| Dog | Diet affected 27 microbial families and 53 genera. | Bermingham |
| Dog | Decreased proportion of | Sandri |
| Dog | Decreased abundance of | Alessandri |
| Cat | Higher abundance of | Butowski |
| Cat | Greater proportions of | Kerr |
Effects of probiotic or symbiotic administration to dogs with CE.
| Treatment | Type of disorder | Effect of the treatment | References |
|---|---|---|---|
| High‐fibre diet with probiotic blend | FRE | Resolution of clinical signs with improvement of faecal scores and Canine Chronic Enteropathy Clinical Activity Index (CCECAI) and histologic amelioration. | Rossi |
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| FRE | No differences in clinical efficacy, histologic scores or expression of specific cytokines emerged after the treatment. | Schmitz |
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| FRE | Increased intestinal biodiversity coupled with a slight increment of the | Pilla |
| Sour milk with three canine‐derived | AD | Normalizing effects in stool consistency and improvement of the animal conditions with reduced vomiting and increased appetite. Remarkable reduction of | Gomez‐Gallego |
| Probiotic VSL#3 | IBD | Increased relative abundance of the | Rossi |
| Multi‐strain probiotic | IBD | Increased relative abundance of | White |