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A Longitudinal Study of the Feline Faecal Microbiome Identifies Changes into Early Adulthood Irrespective of Sexual Development

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Journal PLoS One
Date 2015 Dec 15
PMID 26659594
Citations 42
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Abstract

Companion animals provide an excellent model for studies of the gut microbiome because potential confounders such as diet and environment can be more readily controlled for than in humans. Additionally, domestic cats and dogs are typically neutered early in life, enabling an investigation into the potential effect of sex hormones on the microbiome. In a longitudinal study to investigate the potential effects of neutering, neutering age and gender on the gut microbiome during growth, the faeces of kittens (16 male, 14 female) were sampled at 18, 30 and 42 weeks of age. DNA was shotgun sequenced on the Illumina platform and sequence reads were annotated for taxonomy and function by comparison to a database of protein coding genes. In a statistical analysis of diversity, taxonomy and functional potential of the microbiomes, age was identified as the only factor with significant associations. No significant effects were detected for gender, neutering, or age when neutered (19 or 31 weeks). At 18 weeks of age the microbiome was dominated by the genera Lactobacillus and Bifidobacterium (35% and 20% average abundance). Structural and functional diversity was significantly increased by week 30 but there was no further significant increase. At 42 weeks of age the most abundant genera were Bacteroides (16%), Prevotella (14%) and Megasphaera (8%). Significant differences in functional potential included an enrichment for genes in energy metabolism (carbon metabolism and oxidative phosphorylation) and depletion in cell motility (flagella and chemotaxis). We conclude that the feline faecal microbiome is predominantly determined by age when diet and environment are controlled for. We suggest this finding may also be informative for studies of the human microbiome, where control over such factors is usually limited.

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References
1.
Hoenig M, Ferguson D . Effects of neutering on hormonal concentrations and energy requirements in male and female cats. Am J Vet Res. 2002; 63(5):634-9. DOI: 10.2460/ajvr.2002.63.634. View

2.
Russell J, Baldwin R . Substrate preferences in rumen bacteria: evidence of catabolite regulatory mechanisms. Appl Environ Microbiol. 1978; 36(2):319-29. PMC: 291221. DOI: 10.1128/aem.36.2.319-329.1978. View

3.
Barry K, Middelbos I, Vester Boler B, Dowd S, Suchodolski J, Henrissat B . Effects of dietary fiber on the feline gastrointestinal metagenome. J Proteome Res. 2012; 11(12):5924-33. DOI: 10.1021/pr3006809. View

4.
Huse S, Ye Y, Zhou Y, Fodor A . A core human microbiome as viewed through 16S rRNA sequence clusters. PLoS One. 2012; 7(6):e34242. PMC: 3374614. DOI: 10.1371/journal.pone.0034242. View

5.
Murray J, Roberts M, Whitmarsh A, Gruffydd-Jones T . Survey of the characteristics of cats owned by households in the UK and factors affecting their neutered status. Vet Rec. 2009; 164(5):137-41. DOI: 10.1136/vr.164.5.137. View