Comparison of Gut Microbiota of 96 Healthy Dogs by Individual Traits: Breed, Age, and Body Condition Score

You, Inhwan; Kim, Min Jung

doi:10.3390/ani11082432

Cited by 55 publications

(52 citation statements)

References 64 publications

(70 reference statements)

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“…In particular, they found a higher relative abundance of Bacteroidales in puppies (0–8 months old), Phascolarctobacterium in juniors (9–24 months old), Fusobacterium in adults (25–96 months old) and Roseburia in seniors (>96 months old), and a significant reduction in the abundance of Biffidobacterium genus in adults and seniors, similar to that observed during ageing in humans [ 55 ]. You and Kim [ 59 ] also found that Fusobacterium perfoetens was significantly more abundant in dogs 6–10 year-old than in 0.5–1 year-old ones. In the present study, all dogs were young adults (except two 9-year old control dogs) and there were no significant differences by age between groups.…”

Section: Resultsmentioning

confidence: 99%

“…In the present study, breed differences were not specifically addressed beyond the difference between beagles (controls) and epileptic dogs, which belonged to different breeds. Alessandri et al [ 55 ] did not find differences in the gut microbiota across dog breeds, but other authors have detected some differences, for instance, in the abundance of Fusobateria, which was higher in Maltese compared to Poodle or miniature Schnauzer [ 59 , 60 ].…”

Section: Resultsmentioning

confidence: 99%

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Gut Microbiota in Canine Idiopathic Epilepsy: Effects of Disease and Treatment

García-Belenguer

Grasa

Valero

et al. 2021

Animals

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Epilepsy is one of the most common neurological disorders in humans and dogs. The structure and composition of gut microbiome associated to this disorder has not yet been analyzed in depth but there is evidence that suggests a possible influence of gut bacteria in controlling seizures. The aim of this study was to investigate the changes in gut microbiota associated to canine idiopathic epilepsy (IE) and the possible influence of antiepileptic drugs (AEDs) on the modulation of this microbiota. Faecal microbiota composition was analyzed using sequencing of bacterial 16S rRNA gene in a group of healthy controls (n = 12) and a group of epileptic dogs both before (n = 10) and after a 30-day single treatment with phenobarbital or imepitoin (n = 9). Epileptic dogs showed significantly reduced abundance of GABA (Pseudomonadales, Pseudomonadaceae, Pseudomonas and Pseudomona_graminis) and SCFAs-producing bacteria (Peptococcaceae, Ruminococcaceae and Anaerotruncus) as well as bacteria associated with reduced risk for brain disease (Prevotellaceae) than control dogs. The administration of AEDs during 30 days did not modify the gut microbiota composition. These results are expected to contribute to the understanding of canine idiopathic epilepsy and open up the possibility of studying new therapeutic approaches for this disorder, including probiotic intervention to restore gut microbiota in epileptic individuals.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Gut Microbiota in Canine Idiopathic Epilepsy: Effects of Disease and Treatment

García-Belenguer

Grasa

Valero

et al. 2021

Animals

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“…SmartPill) (Warrit et al, 2017) and in humans (Schwizer et al, 2002;Wang et al, 2005;Zhang et al, 2014) open new avenues and may help to fill these scientific and technological gaps. Regarding such in vivo reference studies, it would be of high importance to standardize the experimental conditions in terms of age, breed, weight, but also diet and dog's lifestyle, which all impact digestive parameters (Mahar et al, 2012;Panasevich et al, 2015;Apper et al, 2020;Pilla and Suchodolski, 2020;You and Kim, 2021). It should be also relevant to exclude from these in vivo assays those performed with breeds showing well-known specific digestive particularities (like German Shepherd) or specific energy needs (like Husky, Great Danes or Terriers) (Zentek and Meyer, 1995).…”

Section: Future Developments and Quality Requirementsmentioning

confidence: 99%

In vitro models of the canine digestive tract as an alternative to in vivo assays: Advances and current challenges

Deschamps

2022

ALTEX

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Dogs occupy a full place in the family and their well-being is of paramount importance to their owners. Digestion, a complex process involving physicochemical, mechanical, and microbial parameters, plays a central in maintaining animals healthy. As in vivo studies in dogs are more and more restricted by ethical, regulatory, societal, and cost reasons, an alternative option resides in the use of in vitro models simulating the different parts of the canine gastrointestinal tract. This review paper first introduces digestion and gut microbiota as key factors in dog nutrition and health, under both healthy and diseased conditions (obesity and inflammatory bowel disease), by highlighting when relevant similarities or differences between human and canine digestion process. Then, we provide for the first time an in-depth description of currently available models of the canine digestive tract, discuss technical and scientific challenges that need to be addressed and introduce potential applications of in vitro gut models in food and veterinary fields. Even if the development of some in vitro models remains limited by a lack of in vivo data in dogs necessary for a relevant configuration and validation, translation of long-term expertise on human in vitro gut models to dog's ecosystem opens avenues for canine in vitro gut model development and their adaptation to specific digestive conditions associated to various ages, sizes, breeds and/or diets, under both physiological and diseased states. Introduction Dogs in familial and economical contextsCanis lupus familiaris, also known as domesticated dogs, belongs to Canidae family. Dog is maybe the first animal domesticated by human around 12.000 years ago (Axelsson et al., 2013). Dogs were initially strict carnivores, but during the agricultural revolution, they have probably acquired the ability to digest starch and became facultative carnivores (Axelsson et al., 2013). Nowadays, canine species include approximatively 400 breeds with high morphological and size variabilities and weight ranging from 1 kg for a Chihuahua to 100 kg for a Saint-Bernard (Grandjean and Haymann, 2010). Pets, especially dogs, occupy a full place in the family and their health and well-being are therefore of paramount importance to their owners.Dogs are estimated to be more than 500 million worldwide, which represents a huge market for petfood and animal health industry. In 2018, global petfood market size reached $91.1 billion, representing 31% increase within 5 years, with the need of constantly innovate (e.g., food, probiotics and prebiotics) (Phillips-Donaldson, 2019). A vast array of foods, snacks and nutritional supplements have been recently developed to support well-being, health, improve aging or prevent diseases. According to increased interest of owners to maintain dog's health, petfood was adapted to fit each dog's lifestyle, for example for puppies or bitches, sedentary or active, maintenance diet or hypocaloric diet. Different types of canine food are available and can be classified in t...

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“…The V3/V4 hypervariable regions of the bacterial 16S rRNA gene were amplificated using the following primers: 341F(5′-CTACGGGNGGCWGCAG-3′) and 805R (5′- GACTACHVGGGTATCTAATCC−3′). All the 16S rRNA gene amplicons were used for constructing DNA libraries and were sequenced using the Illumina NovaSeq PE250 platform (You and Kim, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

“…After removing the low-quality sequences, the remaining reads were clustered into operational taxonomic units (OTUs) with 97% sequence similarity. The 16S rRNA gene sequences were aligned by PyNAST and clustered under 100% sequence identity by UCLUST, and the microbial community analysis of the observed OTUs was performed based on the SILVA database (Emilie et al, 2021 ; You and Kim, 2021 ). The sequence biodiversity and richness were evaluated by the rank–abundance curves, and the Venn diagram was calculated to assess the microbiota structure in different samples.…”

Section: Methodsmentioning

confidence: 99%

Analysis and Comparison of Gut Microbiome in Young Detection Dogs

Sun

et al. 2022

Front. Microbiol.

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The detection dogs are well-known for their excellent capabilities to sense different kinds of smells, which can play an important role in completing various searching and rescuing missions. The recent studies have demonstrated that the excellent olfactory function of detection dogs might be related with the gut microbes via the bidirectional communications between the gastrointestinal tract and the brain. In this study, the gut microbial communities of three types of breeds of detection dogs (Springer Spaniel, Labrador Retriever, and German Shepherd) were studied and compared. The results revealed that the richness and the diversity of gut microbiome German Shepherd dogs were significantly higher than the Labrador Retriever dogs and the Springer Spaniel dogs. At the phylum level, the most predominant gut microbial communities of the detection dogs were comprised of Fusobacteriota, Bacteroidetes, Firmicutes, Proteobacteria, Campilobacterota, and Actinobacteriota. At the genus level the most predominant gut microbial communities were comprised of Fusobacterium, Megamonas, Prevotella, Alloprevotella, Bacteroides, Haemophilus, Anaerobiospirillum, Helicobacter, Megasphaera, Peptoclostridium, Phascolarctobacterium, and Streptococcus. However, the gut microbial communities of the three dogs group were also obviously different. The mean relative abundance of Fusobacterium, Prevotella, Alloprevotella, Megamonas, Bacteroides, and Phascolarctobacterium presented significant differences in the three groups. According to the portraits and characteristics of the gut microbiome in young detection dogs, multiple kinds of nutritional interventions could be applied to manipulate the gut microbiota, with the aim of improving the health states and the olfactory performances.

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Comparison of Gut Microbiota of 96 Healthy Dogs by Individual Traits: Breed, Age, and Body Condition Score

Cited by 55 publications

References 64 publications

Gut Microbiota in Canine Idiopathic Epilepsy: Effects of Disease and Treatment

Gut Microbiota in Canine Idiopathic Epilepsy: Effects of Disease and Treatment

In vitro models of the canine digestive tract as an alternative to in vivo assays: Advances and current challenges

Analysis and Comparison of Gut Microbiome in Young Detection Dogs

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