Dataset Information

Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs.

ABSTRACT:

Introduction

Dog breeds are a consequence of artificial selection for specific attributes. These closed genetic populations have metabolic and physiological characteristics that may be revealed by metabolomic analysis.

Objectives

To identify and characterise the drivers of metabolic differences in the fasted plasma metabolome and then determine metabolites differentiating breeds.

Methods

Fasted plasma samples were collected from dogs maintained under two environmental conditions (controlled and client-owned at home). The former (n = 33) consisted of three breeds (Labrador Retriever, Cocker Spaniel and Miniature Schnauzer) fed a single diet batch, the latter (n = 96), client-owned dogs consisted of 9 breeds (Beagle, Chihuahua, Cocker Spaniel, Dachshund, Golden Retriever, Greyhound, German Shepherd, Labrador Retriever and Maltese) consuming various diets under differing feeding regimens. Triplicate samples were taken from Beagle (n = 10) and Labrador Retriever (n = 9) over 3 months. Non-targeted metabolite fingerprinting was performed using flow infusion electrospray-ionization mass spectrometry which was coupled with multivariate data analysis. Metadata factors including age, gender, sexual status, weight, diet and breed were investigated.

Results

Breed differences were identified in the plasma metabolome of dogs housed in a controlled environment. Triplicate samples from two breeds identified intra-individual variability, yet breed separation was still observed. The main drivers of variance in dogs maintained in the home environment were associated with breed and gender. Furthermore, metabolite signals were identified that discriminated between Labrador Retriever and Cocker Spaniels in both environments.

Conclusion

Metabolite fingerprinting of plasma samples can be used to investigate breed differences in client-owned dogs, despite added variance of diet, sexual status and environment.

SUBMITTER: Lloyd AJ

PROVIDER: S-EPMC4783439 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs.

Lloyd Amanda J AJ Beckmann Manfred M Tailliart Kathleen K Brown Wendy Y WY Draper John J Allaway David D

Metabolomics : Official journal of the Metabolomic Society 20160308

<h4>Introduction</h4>Dog breeds are a consequence of artificial selection for specific attributes. These closed genetic populations have metabolic and physiological characteristics that may be revealed by metabolomic analysis.<h4>Objectives</h4>To identify and characterise the drivers of metabolic differences in the fasted plasma metabolome and then determine metabolites differentiating breeds.<h4>Methods</h4>Fasted plasma samples were collected from dogs maintained under two environmental condi ...[more]

PMID: 27065761

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Dataset Information

Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs.

Introduction

Objectives

Methods

Results

Conclusion

Publications

Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs.

Similar Datasets

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