The Kitty Microbiome Project: Defining the Healthy Fecal "Core Microbiome" in Pet Domestic Cats

Vet Sci. 2022 Nov 16;9(11):635. doi: 10.3390/vetsci9110635.

Abstract

Here, we present a taxonomically defined fecal microbiome dataset for healthy domestic cats (Felis catus) fed a range of commercial diets. We used this healthy reference dataset to explore how age, diet, and living environment correlate with fecal microbiome composition. Thirty core bacterial genera were identified. Prevotella, Bacteroides, Collinsella, Blautia, and Megasphaera were the most abundant, and Bacteroides, Blautia, Lachnoclostridium, Sutterella, and Ruminococcus gnavus were the most prevalent. While community composition remained relatively stable across different age classes, the number of core taxa present decreased significantly with age. Fecal microbiome composition varied with host diet type. Cats fed kibble had a slightly, but significantly greater number of core taxa compared to cats not fed any kibble. The core microbiomes of cats fed some raw food contained taxa not as highly prevalent or abundant as cats fed diets that included kibble. Living environment also had a large effect on fecal microbiome composition. Cats living in homes differed significantly from those in shelters and had a greater portion of their microbiomes represented by core taxa. Collectively our work reinforces the findings that age, diet, and living environment are important factors to consider when defining a core microbiome in a population.

Keywords: FIV infection; age; core microbiome; diet; domestic cats; fecal microbiome; gut microbiome; healthy reference.

Grants and funding

H.H.G. was funded by the Alfred P. Sloan Foundation as part of the “Microbiology of the Built Environment” program (grant to J.A.E.) when she started this research project. The generous support of the backers of the KittyBiome Kickstarter provided funding for the initial sequencing of samples collected in the participatory research project. In addition, AnimalBiome supported sequencing of customer samples, data collection, analyses, and writing.