A comprehensive characterization of feline gut microbiota using deep WGS metagenomic data.
High blood glucose levels and insulin resistance were associated with feline obesity.
Lack of significant sex or age effects on gut microbiome within the normal cat group.
Significant reduction in microbial diversity in obese cat gut microbiota.
Phylum-level characterization of feline gut microbiota revealed a significantly lower Firmicutes-to-Bacteroidetes ratio in obese cats.
The top 20 most abundant bacterial genera distinguish the normal and obese cat gut microbiota.
Linear discriminant analysis revealed the most featured bacterial families, genera, and species in normal versus obese cat gut microbiota.
MAG of the most featured species in LDA analysis - a previously uncharacterized Erysipelotrichaceae bacterium AU001MAG.
Hallmark of the obese cat gut microbiome—dramatic increases in abundance of Bifidobacterium sp., Dialister sp., Olsenella provencensis, and Campylobacter upsaliensis.
Hallmark of the obese cat gut microbiome—depletion of two highly abundant species in the normal gut microbiome, Erysipelotrichaceae bacterium AU001MAG, and Phascolarctobacterium succinatutens.
Distinct metabolic pathways and CAZy families in normal and obese cat gut microbiota.
Feline gut microbiota composition—similarity to canine and human microbiome and consistency between WGS and 16S rDNA data.
The first cat gut microbiome contigs assembly and microbial gene catalog provided sequence references and information of sufficient samples size for future studies.
Potential confounding factors in comparing normal versus obese cat microbiomes.
Signatures of obese cat gut microbiota—what did we learn at the microbial diversity level?
Shift from Firmicutes to Bacteroidetes in obese cat gut microbiota is in the opposite direction compared with human and mouse gut microbiomes.
Signatures of obese cat gut microbiota—what did we learn at the microbial species level?
Obesity etiology from cat to human—shared significant bacterial genera between human and cat gut microbiota provide potential translational value.
Bifidobacterium in feline obesity—is Bifidobacterium a good choice for probiotic health supplement in cats?
Erysipelotrichaceae bacterium and Phascolarctobacterium—beneficial bacteria for feline weight loss?
Microbiome signatures in feline obesity—obese cat microbiome index Cups/Chel and a qPCR panel to detect obesity-associated microbiomes.
Fatty acids biosynthesis pathways are enriched in obesity-associated microbiota.
Significant changes in carbohydrate metabolism on the obese cat gut microbiota.
MATERIALS AND METHODS
Animal selection and maintenance.
Morphometrics, blood glucose, and insulin measurements in obese cats.
Fecal sample collection and microbial DNA extraction.
Metagenomic sequencing, quality control, and preprocessing of metagenomic reads.
Feline gut metagenome assembly and microbial gene annotation.
Taxonomy assignment and taxonomy abundance analysis.
Microbial diversity analysis in normal and obese cats.
Analysis of age and sex effects in the normal cat group.
Identification of significantly altered genera or species in normal and obese cats.
Linear discriminant analysis in normal and obese cat gut microbiota.
Metagenomic assembly, genome completeness, and synteny analysis of a previously uncharacterized species Erysipelotrichaceae bacterium AU001MAG.
qPCR validation of microbial abundance changes.
Enrichment of functional categories and pathways.
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