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

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

SUBMITTER: Scarsella E 

PROVIDER: S-EPMC7431105 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature