A bi-variate framework to model microbiome resilience in healthy dogs.

ABSTRACT:

Introduction

Ecological resilience is the capacity of an ecosystem to maintain its state and recover from disturbances. This concept can be applied to the gut microbiome as a marker of health.

Methods

Several metrics have been proposed to quantify microbiome resilience, based on the prior choice of some salient feature of the trajectories of microbiome change. We propose a data-driven approach based on compositional and functional data analysis to quantify microbiome resilience. We demonstrate the validity of our approach through applications to sled dogs undergoing three types of exercise: running on an exercise wheel, pulling an all-terrain vehicle, and pulling a sled.

Results

Microbiota composition was clearly impacted by each exercise type. Log-ratio analysis was

SUBMITTER: Mainardi F 

PROVIDER: S-EPMC12001528 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature