Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle

RJ Wallace, JA Rooke, C-A Duthie, JJ Hyslop, DW Ross, N McKain, S Motta de Souza, TJ Snelling, A Waterhouse, R Roehe

Research output: Contribution to journalArticle

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Abstract

Methane produced from 35 Aberdeen-Angus and 33 Limousin cross steers was measured in respiration chambers. Each group was split to receive either a medium- or high-concentrate diet. Ruminal digesta samples were subsequently removed to investigate correlations between methane emissions and the rumen microbial community, as measured by qPCR of 16S or 18S rRNA genes. Diet had the greatest influence on methane emissions. The high-concentrate diet resulted in lower methane emissions (P , 0.001) than the medium-concentrate diet. Methane was correlated, irrespective of breed, with the abundance of archaea (R 5 0.39), bacteria (20.47), protozoa (0.45), Bacteroidetes (20.37) and Clostridium Cluster XIVa (20.35). The archaea5bacteria ratio provided a stronger correlation (0.49). A similar correlation was found with digesta samples taken 2–3 weeks later at slaughter. This finding could help enable greenhouse gas emissions of large animal cohorts to be predicted from samples taken conveniently in the abattoir.
Original languageEnglish
Pages (from-to)2 - 5
Number of pages4
JournalScientific Reports
Volume4
DOIs
Publication statusFirst published - 2014

Fingerprint

digesta
beef cattle
methane
concentrates
diet
Limousin (cattle breed)
Angus
Archaea
greenhouse gas emissions
slaughterhouses
Protozoa
microbial communities
slaughter
ribosomal RNA
breeds
sampling
bacteria
animals
genes

Bibliographical note

1023378
1023322

Keywords

  • Genetic models
  • Metabolomics
  • Microbial ecology
  • Microbiology techniques

Cite this

Wallace, RJ ; Rooke, JA ; Duthie, C-A ; Hyslop, JJ ; Ross, DW ; McKain, N ; Motta de Souza, S ; Snelling, TJ ; Waterhouse, A ; Roehe, R. / Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle. In: Scientific Reports. 2014 ; Vol. 4. pp. 2 - 5.
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abstract = "Methane produced from 35 Aberdeen-Angus and 33 Limousin cross steers was measured in respiration chambers. Each group was split to receive either a medium- or high-concentrate diet. Ruminal digesta samples were subsequently removed to investigate correlations between methane emissions and the rumen microbial community, as measured by qPCR of 16S or 18S rRNA genes. Diet had the greatest influence on methane emissions. The high-concentrate diet resulted in lower methane emissions (P , 0.001) than the medium-concentrate diet. Methane was correlated, irrespective of breed, with the abundance of archaea (R 5 0.39), bacteria (20.47), protozoa (0.45), Bacteroidetes (20.37) and Clostridium Cluster XIVa (20.35). The archaea5bacteria ratio provided a stronger correlation (0.49). A similar correlation was found with digesta samples taken 2–3 weeks later at slaughter. This finding could help enable greenhouse gas emissions of large animal cohorts to be predicted from samples taken conveniently in the abattoir.",
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author = "RJ Wallace and JA Rooke and C-A Duthie and JJ Hyslop and DW Ross and N McKain and {Motta de Souza}, S and TJ Snelling and A Waterhouse and R Roehe",
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Wallace, RJ, Rooke, JA, Duthie, C-A, Hyslop, JJ, Ross, DW, McKain, N, Motta de Souza, S, Snelling, TJ, Waterhouse, A & Roehe, R 2014, 'Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle', Scientific Reports, vol. 4, pp. 2 - 5. https://doi.org/10.1038/srep05892

Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle. / Wallace, RJ; Rooke, JA; Duthie, C-A; Hyslop, JJ; Ross, DW; McKain, N; Motta de Souza, S; Snelling, TJ; Waterhouse, A; Roehe, R.

In: Scientific Reports, Vol. 4, 2014, p. 2 - 5.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle

AU - Wallace, RJ

AU - Rooke, JA

AU - Duthie, C-A

AU - Hyslop, JJ

AU - Ross, DW

AU - McKain, N

AU - Motta de Souza, S

AU - Snelling, TJ

AU - Waterhouse, A

AU - Roehe, R

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PY - 2014

Y1 - 2014

N2 - Methane produced from 35 Aberdeen-Angus and 33 Limousin cross steers was measured in respiration chambers. Each group was split to receive either a medium- or high-concentrate diet. Ruminal digesta samples were subsequently removed to investigate correlations between methane emissions and the rumen microbial community, as measured by qPCR of 16S or 18S rRNA genes. Diet had the greatest influence on methane emissions. The high-concentrate diet resulted in lower methane emissions (P , 0.001) than the medium-concentrate diet. Methane was correlated, irrespective of breed, with the abundance of archaea (R 5 0.39), bacteria (20.47), protozoa (0.45), Bacteroidetes (20.37) and Clostridium Cluster XIVa (20.35). The archaea5bacteria ratio provided a stronger correlation (0.49). A similar correlation was found with digesta samples taken 2–3 weeks later at slaughter. This finding could help enable greenhouse gas emissions of large animal cohorts to be predicted from samples taken conveniently in the abattoir.

AB - Methane produced from 35 Aberdeen-Angus and 33 Limousin cross steers was measured in respiration chambers. Each group was split to receive either a medium- or high-concentrate diet. Ruminal digesta samples were subsequently removed to investigate correlations between methane emissions and the rumen microbial community, as measured by qPCR of 16S or 18S rRNA genes. Diet had the greatest influence on methane emissions. The high-concentrate diet resulted in lower methane emissions (P , 0.001) than the medium-concentrate diet. Methane was correlated, irrespective of breed, with the abundance of archaea (R 5 0.39), bacteria (20.47), protozoa (0.45), Bacteroidetes (20.37) and Clostridium Cluster XIVa (20.35). The archaea5bacteria ratio provided a stronger correlation (0.49). A similar correlation was found with digesta samples taken 2–3 weeks later at slaughter. This finding could help enable greenhouse gas emissions of large animal cohorts to be predicted from samples taken conveniently in the abattoir.

KW - Genetic models

KW - Metabolomics

KW - Microbial ecology

KW - Microbiology techniques

U2 - 10.1038/srep05892

DO - 10.1038/srep05892

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