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

Amanda Lloyd; Manfred Beckmann; Kathleen Tailliart; Wendy Y. Brown; John Draper; David Allaway

doi:10.1007/s11306-016-0997-6

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

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Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs. / Lloyd, Amanda ; Beckmann, Manfred; Tailliart, Kathleen et al.

In: Metabolomics, Vol. 12, No. 4, 72, 01.04.2016.

Research output: Contribution to journal › Article › peer-review

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@article{de7219f1a4d347b3b4b6bed8f045efef,

title = "Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs",

abstract = "IntroductionDog 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.ObjectivesTo identify and characterise the drivers of metabolic differences in the fasted plasma metabolome and then determine metabolites differentiating breeds.MethodsFasted 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.ResultsBreed 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.ConclusionMetabolite fingerprinting of plasma samples can be used to investigate breed differences in client-owned dogs, despite added variance of diet, sexual status and environment.",

keywords = "metabolomics, plasma, metabolite fingerprinting, multivariate data analysis, intra-breed variability, inter-breed variability",

author = "Amanda Lloyd and Manfred Beckmann and Kathleen Tailliart and Brown, {Wendy Y.} and John Draper and David Allaway",

note = "This is the author accepted manuscript. The final version is available from Springer via http://dx.doi.org/10.1007/s11306-016-0997-6",

year = "2016",

month = apr,

day = "1",

doi = "10.1007/s11306-016-0997-6",

language = "English",

volume = "12",

journal = "Metabolomics",

issn = "1573-3882",

publisher = "Springer Nature",

number = "4",

}

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TY - JOUR

T1 - Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs

AU - Lloyd, Amanda

AU - Beckmann, Manfred

AU - Tailliart, Kathleen

AU - Brown, Wendy Y.

AU - Draper, John

AU - Allaway, David

N1 - This is the author accepted manuscript. The final version is available from Springer via http://dx.doi.org/10.1007/s11306-016-0997-6

PY - 2016/4/1

Y1 - 2016/4/1

N2 - IntroductionDog 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.ObjectivesTo identify and characterise the drivers of metabolic differences in the fasted plasma metabolome and then determine metabolites differentiating breeds.MethodsFasted 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.ResultsBreed 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.ConclusionMetabolite fingerprinting of plasma samples can be used to investigate breed differences in client-owned dogs, despite added variance of diet, sexual status and environment.

AB - IntroductionDog 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.ObjectivesTo identify and characterise the drivers of metabolic differences in the fasted plasma metabolome and then determine metabolites differentiating breeds.MethodsFasted 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.ResultsBreed 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.ConclusionMetabolite fingerprinting of plasma samples can be used to investigate breed differences in client-owned dogs, despite added variance of diet, sexual status and environment.

KW - metabolomics

KW - plasma

KW - metabolite fingerprinting

KW - multivariate data analysis

KW - intra-breed variability

KW - inter-breed variability

UR - http://hdl.handle.net/2160/30731

U2 - 10.1007/s11306-016-0997-6

DO - 10.1007/s11306-016-0997-6

M3 - Article

C2 - 27065761

VL - 12