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Similarity of the dog and human gut microbiomes in gene content and response to diet

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Item Type:Article
Title:Similarity of the dog and human gut microbiomes in gene content and response to diet
Creators Name:Coelho, L.P. and Kultima, J.R. and Costea, P.I. and Fournier, C. and Pan, Y. and Czarnecki-Maulden, G. and Hayward, M.R. and Forslund, S.K. and Schmidt, T.S.B. and Descombes, P. and Jackson, J.R. and Li, Q. and Bork, P.
Abstract:Background: Gut microbes influence their hosts in many ways, in particular by modulating the impact of diet. These effects have been studied most extensively in humans and mice. In this work, we used whole genome metagenomics to investigate the relationship between the gut metagenomes of dogs, humans, mice, and pigs. Results: We present a dog gut microbiome gene catalog containing 1,247,405 genes (based on 129 metagenomes and a total of 1.9 terabasepairs of sequencing data). Based on this catalog and taxonomic abundance profiling, we show that the dog microbiome is closer to the human microbiome than the microbiome of either pigs or mice. To investigate this similarity in terms of response to dietary changes, we report on a randomized intervention with two diets (high-protein/low-carbohydrate vs. lower protein/higher carbohydrate). We show that diet has a large and reproducible effect on the dog microbiome, independent of breed or sex. Moreover, the responses were in agreement with those observed in previous human studies. Conclusions: We conclude that findings in dogs may be predictive of human microbiome results. In particular, a novel finding is that overweight or obese dogs experience larger compositional shifts than lean dogs in response to a high-protein diet.
Keywords:Microbiome, Diet, Metagenomics, Dog Microbiome, Human Microbiome, Mouse Microbiome, Pig Microbiome, Animals, Dogs, Mice, Swine
Source:Microbiome
ISSN:2049-2618
Publisher:BioMed Central
Volume:6
Number:1
Page Range:72
Date:19 April 2018
Official Publication:https://doi.org/10.1186/s40168-018-0450-3
PubMed:View item in PubMed

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