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

R. John Wallace; John A. Rooke; Carol-Anne Duthie; Jimmy J. Hyslop; David W. Ross; Nest McKain; Shirley Motta de Souza; Timothy J. Snelling; Anthony Waterhouse; Rainer Roehe

doi:10.1038/srep05892

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

R. John Wallace^* (Corresponding Author), John A. Rooke, Carol-Anne Duthie, Jimmy J. Hyslop, David W. Ross, Nest McKain, Shirley Motta de Souza, Timothy J. Snelling, Anthony Waterhouse, Rainer Roehe

^*Corresponding author for this work

The Rowett Institute of Nutrition and Health

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

81 Citations (Scopus)

12 Downloads (Pure)

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 = 0.39), bacteria (−0.47), protozoa (0.45), Bacteroidetes (−0.37) and Clostridium Cluster XIVa (−0.35). The archaea:bacteria 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 language	English
Article number	5892
Number of pages	8
Journal	Scientific Reports
Volume	4
DOIs	https://doi.org/10.1038/srep05892
Publication status	Published - 31 Jul 2014

Bibliographical note

The Rowett Institute of Nutrition and Health and SRUC are funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. The project was supported by DEFRA and DA funded Agricultural Greenhouse Gas Inventory Research Platform. Our thanks are due to the excellent support staff at the SRUC Beef Research Centre, Edinburgh, also to Graham Horgan of BioSS, Aberdeen, for conducting multivariate analysis.

Keywords

microbiology techniques
genetic models
metabolomics
microbial ecology

Access to Document

10.1038/srep05892Licence: CC BY-NC-ND

Archaeal abundance in post-mortem ruminal digesta
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
Final published version, 448 KBLicence: CC BY-NC-ND

Robert Wallace
- School of Medicine, Medical Sciences & Nutrition, The Rowett Institute of Nutrition and Health - Emeritus Professor
Person: Honorary

Cite this

@article{47172b8a2ffe4ab0bc3a068ec9f15763,

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

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 = 0.39), bacteria (−0.47), protozoa (0.45), Bacteroidetes (−0.37) and Clostridium Cluster XIVa (−0.35). The archaea:bacteria 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.",

keywords = "microbiology techniques, genetic models, metabolomics, microbial ecology",

author = "Wallace, {R. John} and Rooke, {John A.} and Carol-Anne Duthie and Hyslop, {Jimmy J.} and Ross, {David W.} and Nest McKain and {Motta de Souza}, Shirley and Snelling, {Timothy J.} and Anthony Waterhouse and Rainer Roehe",

note = "The Rowett Institute of Nutrition and Health and SRUC are funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. The project was supported by DEFRA and DA funded Agricultural Greenhouse Gas Inventory Research Platform. Our thanks are due to the excellent support staff at the SRUC Beef Research Centre, Edinburgh, also to Graham Horgan of BioSS, Aberdeen, for conducting multivariate analysis.",

year = "2014",

month = jul,

day = "31",

doi = "10.1038/srep05892",

language = "English",

volume = "4",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

}

TY - JOUR

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

AU - Wallace, R. John

AU - Rooke, John A.

AU - Duthie, Carol-Anne

AU - Hyslop, Jimmy J.

AU - Ross, David W.

AU - McKain, Nest

AU - Motta de Souza, Shirley

AU - Snelling, Timothy J.

AU - Waterhouse, Anthony

AU - Roehe, Rainer

N1 - The Rowett Institute of Nutrition and Health and SRUC are funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. The project was supported by DEFRA and DA funded Agricultural Greenhouse Gas Inventory Research Platform. Our thanks are due to the excellent support staff at the SRUC Beef Research Centre, Edinburgh, also to Graham Horgan of BioSS, Aberdeen, for conducting multivariate analysis.

PY - 2014/7/31

Y1 - 2014/7/31

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 = 0.39), bacteria (−0.47), protozoa (0.45), Bacteroidetes (−0.37) and Clostridium Cluster XIVa (−0.35). The archaea:bacteria 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 = 0.39), bacteria (−0.47), protozoa (0.45), Bacteroidetes (−0.37) and Clostridium Cluster XIVa (−0.35). The archaea:bacteria 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 - microbiology techniques

KW - genetic models

KW - metabolomics

KW - microbial ecology

U2 - 10.1038/srep05892

DO - 10.1038/srep05892

M3 - Article

SN - 2045-2322

VL - 4

JO - Scientific Reports

JF - Scientific Reports

M1 - 5892

ER -

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

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Profiles

Robert Wallace

Cite this