Literature DB >> 24780126

Hydrogen and methane emissions from beef cattle and their rumen microbial community vary with diet, time after feeding and genotype.

John A Rooke1, R John Wallace2, Carol-Anne Duthie1, Nest McKain2, Shirley Motta de Souza2, Jimmy J Hyslop1, David W Ross1, Tony Waterhouse1, Rainer Roehe1.   

Abstract

The aims of the present study were to quantify hydrogen (H2) and methane (CH4) emissions from beef cattle under different dietary conditions and to assess how cattle genotype and rumen microbial community affected these emissions. A total of thirty-six Aberdeen Angus-sired (AAx) and thirty-six Limousin-sired (LIMx) steers were fed two diets with forage:concentrate ratios (DM basis) of either 8:92 (concentrate) or 52:48 (mixed). Each diet was fed to eighteen animals of each genotype. Methane (CH4) and H2 emissions were measured individually in indirect respiration chambers. H2 emissions (mmol/min) varied greatly throughout the day, being highest after feed consumption, and averaged about 0·10 mol H2/mol CH4. Higher H2 emissions (mol/kg DM intake) were recorded in steers fed the mixed diet. Higher CH4 emissions (mol/d and mol/kg DM intake) were recorded in steers fed the mixed diet (P< 0·001); the AAx steers produced more CH4 on a daily basis (mol/d, P< 0·05) but not on a DM intake basis (mol/kg DM intake). Archaea (P= 0·002) and protozoa (P< 0·001) were found to be more abundant and total bacteria (P< 0·001) less abundant (P< 0·001) on feeding the mixed diet. The relative abundance of Clostridium cluster IV was found to be greater (P< 0·001) and that of cluster XIVa (P= 0·025) lower on feeding the mixed diet. The relative abundance of Bacteroides plus Prevotella was greater (P= 0·018) and that of Clostridium cluster IV lower (P= 0·031) in the LIMx steers. There were no significant relationships between H2 emissions and microbial abundance. In conclusion, the rate of H2 production immediately after feeding may lead to transient overloading of methanogenic archaea capacity to use H2, resulting in peaks in H2 emissions from beef cattle.

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Year:  2014        PMID: 24780126     DOI: 10.1017/S0007114514000932

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  25 in total

1.  Shifts in metabolic hydrogen sinks in the methanogenesis-inhibited ruminal fermentation: a meta-analysis.

Authors:  Emilio M Ungerfeld
Journal:  Front Microbiol       Date:  2015-02-04       Impact factor: 5.640

2.  Bovine Host Genetic Variation Influences Rumen Microbial Methane Production with Best Selection Criterion for Low Methane Emitting and Efficiently Feed Converting Hosts Based on Metagenomic Gene Abundance.

Authors:  Rainer Roehe; Richard J Dewhurst; Carol-Anne Duthie; John A Rooke; Nest McKain; Dave W Ross; Jimmy J Hyslop; Anthony Waterhouse; Tom C Freeman; Mick Watson; R John Wallace
Journal:  PLoS Genet       Date:  2016-02-18       Impact factor: 5.917

3.  Methane Inhibition Alters the Microbial Community, Hydrogen Flow, and Fermentation Response in the Rumen of Cattle.

Authors:  Gonzalo Martinez-Fernandez; Stuart E Denman; Chunlei Yang; Jane Cheung; Makoto Mitsumori; Christopher S McSweeney
Journal:  Front Microbiol       Date:  2016-07-19       Impact factor: 5.640

4.  The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle.

Authors:  Marc D Auffret; Richard J Dewhurst; Carol-Anne Duthie; John A Rooke; R John Wallace; Tom C Freeman; Robert Stewart; Mick Watson; Rainer Roehe
Journal:  Microbiome       Date:  2017-12-11       Impact factor: 14.650

5.  Fat accretion measurements strengthen the relationship between feed conversion efficiency and Nitrogen isotopic discrimination while rumen microbial genes contribute little.

Authors:  Sarah J Meale; Marc D Auffret; Mick Watson; Diego P Morgavi; Gonzalo Cantalapiedra-Hijar; Carol-Anne Duthie; Rainer Roehe; Richard J Dewhurst
Journal:  Sci Rep       Date:  2018-03-01       Impact factor: 4.379

6.  Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen.

Authors:  Henk J van Lingen; Joan E Edwards; Jueeli D Vaidya; Sanne van Gastelen; Edoardo Saccenti; Bartholomeus van den Bogert; André Bannink; Hauke Smidt; Caroline M Plugge; Jan Dijkstra
Journal:  Front Microbiol       Date:  2017-03-17       Impact factor: 5.640

7.  The rumen microbial metagenome associated with high methane production in cattle.

Authors:  R John Wallace; John A Rooke; Nest McKain; Carol-Anne Duthie; Jimmy J Hyslop; David W Ross; Anthony Waterhouse; Mick Watson; Rainer Roehe
Journal:  BMC Genomics       Date:  2015-10-23       Impact factor: 3.969

8.  The Contribution of Mathematical Modeling to Understanding Dynamic Aspects of Rumen Metabolism.

Authors:  André Bannink; Henk J van Lingen; Jennifer L Ellis; James France; Jan Dijkstra
Journal:  Front Microbiol       Date:  2016-11-23       Impact factor: 5.640

9.  Supersaturation of Dissolved Hydrogen and Methane in Rumen of Tibetan Sheep.

Authors:  Min Wang; Emilio M Ungerfeld; Rong Wang; Chuan She Zhou; Zhu Zha Basang; Si Man Ao; Zhi Liang Tan
Journal:  Front Microbiol       Date:  2016-06-14       Impact factor: 5.640

10.  Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets.

Authors:  Marc D Auffret; Robert Stewart; Richard J Dewhurst; Carol-Anne Duthie; John A Rooke; Robert J Wallace; Tom C Freeman; Timothy J Snelling; Mick Watson; Rainer Roehe
Journal:  Front Microbiol       Date:  2018-01-09       Impact factor: 5.640

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