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Learning machine approach reveals microbial signatures of diet and sex in dog

Scarsella E.
•
Stefanon B.
•
Cintio M.
altro
Sandri M.
2020
  • journal article

Periodico
PLOS ONE
Abstract
The characterization of the microbial population of many niches of the organism, as the gastrointestinal tract, is now possible thanks to the use of high-throughput DNA sequencing technique. Several studies in the companion animals field already investigated faecal microbiome in healthy or affected subjects, although the methodologies used in the different laboratories and the limited number of animals recruited in each experiment does not allow a straight comparison among published results. In the present study, we report data collected from several in house researches carried out in healthy dogs, with the aim to seek for a variability of microbial taxa in the faeces, caused by factors such as diet and sex. The database contains 340 samples from 132 dogs, collected serially during dietary intervention studies. The procedure of samples collection, storage, DNA extraction and sequencing, bioinformatic and statistical analysis followed a standardized pipeline. Microbial profiles of faecal samples have been analyzed applying dimensional reduction discriminant analysis followed by random forest analysis to the relative abundances of genera in the feces as variables. The results supported the responsiveness of microbiota at a genera taxonomic level to dietary factor and allowed to cluster dogs according this factor with high accuracy. Also sex factor clustered dogs, with castrated males and spayed females forming a separated group in comparison to intact dogs, strengthening the hypothesis of a bidirectional interaction between microbiota and endocrine status of the host. The findings of the present analysis are promising for a better comprehension of the mechanisms that regulate the connection of the microorganisms living the gastrointestinal tract with the diet and the host. This preliminary study deserves further investigation for the identification of the factors affecting faecal microbiome in dogs.
DOI
10.1371/journal.pone.0237874
Archivio
http://hdl.handle.net/11390/1191327
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85089556370
Diritti
open access
Web of Science© citazioni
18
Data di acquisizione
Mar 20, 2024
Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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