Aarhus University Seal / Aarhus Universitets segl

Albert Johannes Buitenhuis

Predictive ability of host genetics and rumen microbiome for subclinical ketosis

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Standard

Predictive ability of host genetics and rumen microbiome for subclinical ketosis. / Gebreyesus, Grum; Difford, Gareth F; Buitenhuis, Bart; Lassen, Jan; Noel, Samantha Joan; Højberg, Ole; Plichta, Damian R; Zhu, Zhigang; Poulsen, Nina A; Sundekilde, Ulrik K; Løvendahl, Peter; Sahana, Goutam.

I: Journal of Dairy Science, Bind 103, Nr. 5, 05.2020, s. 4557-4569.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

APA

CBE

MLA

Vancouver

Author

Bibtex

@article{7622c3c2ed864fda83cb7d9566c01265,
title = "Predictive ability of host genetics and rumen microbiome for subclinical ketosis",
abstract = "Subclinical metabolic disorders such as ketosis cause substantial economic losses for dairy farmers in addition to the serious welfare issues they pose for dairy cows. Major hurdles in genetic improvement against metabolic disorders such as ketosis include difficulties in large-scale phenotype recording and low heritability of traits. Milk concentrations of ketone bodies, such as acetone and β-hydroxybutyric acid (BHB), might be useful indicators to select cows for low susceptibility to ketosis. However, heritability estimates reported for milk BHB and acetone in several dairy cattle breeds were low. The rumen microbial community has been reported to play a significant role in host energy homeostasis and metabolic and physiologic adaptations. The current study aims at investigating the effects of cows' genome and rumen microbial composition on concentrations of acetone and BHB in milk, and identifying specific rumen microbial taxa associated with variation in milk acetone and BHB concentrations. We determined the concentrations of acetone and BHB in milk using nuclear magnetic resonance spectroscopy on morning milk samples collected from 277 Danish Holstein cows. Imputed high-density genotype data were available for these cows. Using genomic and microbial prediction models with a 10-fold resampling strategy, we found that rumen microbial composition explains a larger proportion of the variation in milk concentrations of acetone and BHB than do host genetics. Moreover, we identified associations between milk acetone and BHB with some specific bacterial and archaeal operational taxonomic units previously reported to have low to moderate heritability, presenting an opportunity for genetic improvement. However, higher covariation between specific microbial taxa and milk acetone and BHB concentrations might not necessarily indicate a causal relationship; therefore further validation is needed before considering implementation in selection programs.",
keywords = "BHB, microbial composition, milk acetone",
author = "Grum Gebreyesus and Difford, {Gareth F} and Bart Buitenhuis and Jan Lassen and Noel, {Samantha Joan} and Ole H{\o}jberg and Plichta, {Damian R} and Zhigang Zhu and Poulsen, {Nina A} and Sundekilde, {Ulrik K} and Peter L{\o}vendahl and Goutam Sahana",
note = "The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association{\textregistered}. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).",
year = "2020",
month = may,
doi = "10.3168/jds.2019-17824",
language = "English",
volume = "103",
pages = "4557--4569",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Predictive ability of host genetics and rumen microbiome for subclinical ketosis

AU - Gebreyesus, Grum

AU - Difford, Gareth F

AU - Buitenhuis, Bart

AU - Lassen, Jan

AU - Noel, Samantha Joan

AU - Højberg, Ole

AU - Plichta, Damian R

AU - Zhu, Zhigang

AU - Poulsen, Nina A

AU - Sundekilde, Ulrik K

AU - Løvendahl, Peter

AU - Sahana, Goutam

N1 - The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

PY - 2020/5

Y1 - 2020/5

N2 - Subclinical metabolic disorders such as ketosis cause substantial economic losses for dairy farmers in addition to the serious welfare issues they pose for dairy cows. Major hurdles in genetic improvement against metabolic disorders such as ketosis include difficulties in large-scale phenotype recording and low heritability of traits. Milk concentrations of ketone bodies, such as acetone and β-hydroxybutyric acid (BHB), might be useful indicators to select cows for low susceptibility to ketosis. However, heritability estimates reported for milk BHB and acetone in several dairy cattle breeds were low. The rumen microbial community has been reported to play a significant role in host energy homeostasis and metabolic and physiologic adaptations. The current study aims at investigating the effects of cows' genome and rumen microbial composition on concentrations of acetone and BHB in milk, and identifying specific rumen microbial taxa associated with variation in milk acetone and BHB concentrations. We determined the concentrations of acetone and BHB in milk using nuclear magnetic resonance spectroscopy on morning milk samples collected from 277 Danish Holstein cows. Imputed high-density genotype data were available for these cows. Using genomic and microbial prediction models with a 10-fold resampling strategy, we found that rumen microbial composition explains a larger proportion of the variation in milk concentrations of acetone and BHB than do host genetics. Moreover, we identified associations between milk acetone and BHB with some specific bacterial and archaeal operational taxonomic units previously reported to have low to moderate heritability, presenting an opportunity for genetic improvement. However, higher covariation between specific microbial taxa and milk acetone and BHB concentrations might not necessarily indicate a causal relationship; therefore further validation is needed before considering implementation in selection programs.

AB - Subclinical metabolic disorders such as ketosis cause substantial economic losses for dairy farmers in addition to the serious welfare issues they pose for dairy cows. Major hurdles in genetic improvement against metabolic disorders such as ketosis include difficulties in large-scale phenotype recording and low heritability of traits. Milk concentrations of ketone bodies, such as acetone and β-hydroxybutyric acid (BHB), might be useful indicators to select cows for low susceptibility to ketosis. However, heritability estimates reported for milk BHB and acetone in several dairy cattle breeds were low. The rumen microbial community has been reported to play a significant role in host energy homeostasis and metabolic and physiologic adaptations. The current study aims at investigating the effects of cows' genome and rumen microbial composition on concentrations of acetone and BHB in milk, and identifying specific rumen microbial taxa associated with variation in milk acetone and BHB concentrations. We determined the concentrations of acetone and BHB in milk using nuclear magnetic resonance spectroscopy on morning milk samples collected from 277 Danish Holstein cows. Imputed high-density genotype data were available for these cows. Using genomic and microbial prediction models with a 10-fold resampling strategy, we found that rumen microbial composition explains a larger proportion of the variation in milk concentrations of acetone and BHB than do host genetics. Moreover, we identified associations between milk acetone and BHB with some specific bacterial and archaeal operational taxonomic units previously reported to have low to moderate heritability, presenting an opportunity for genetic improvement. However, higher covariation between specific microbial taxa and milk acetone and BHB concentrations might not necessarily indicate a causal relationship; therefore further validation is needed before considering implementation in selection programs.

KW - BHB

KW - microbial composition

KW - milk acetone

U2 - 10.3168/jds.2019-17824

DO - 10.3168/jds.2019-17824

M3 - Journal article

C2 - 32197852

VL - 103

SP - 4557

EP - 4569

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 5

ER -