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

Diurnal patterns of ruminal fermentation metabolites and microbial communities are not commonly assessed when investigating variation in ruminal CH(4) production. The aims of this study were to monitor diurnal patterns of: (i) gaseous and dissolved metabolite concentrations in the bovine rumen, (ii)...

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Autores principales: van Lingen, Henk J., Edwards, Joan E., Vaidya, Jueeli D., van Gastelen, Sanne, Saccenti, Edoardo, van den Bogert, Bartholomeus, Bannink, André, Smidt, Hauke, Plugge, Caroline M., Dijkstra, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355475/
https://www.ncbi.nlm.nih.gov/pubmed/28367142
http://dx.doi.org/10.3389/fmicb.2017.00425
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author van Lingen, Henk J.
Edwards, Joan E.
Vaidya, Jueeli D.
van Gastelen, Sanne
Saccenti, Edoardo
van den Bogert, Bartholomeus
Bannink, André
Smidt, Hauke
Plugge, Caroline M.
Dijkstra, Jan
author_facet van Lingen, Henk J.
Edwards, Joan E.
Vaidya, Jueeli D.
van Gastelen, Sanne
Saccenti, Edoardo
van den Bogert, Bartholomeus
Bannink, André
Smidt, Hauke
Plugge, Caroline M.
Dijkstra, Jan
author_sort van Lingen, Henk J.
collection PubMed
description Diurnal patterns of ruminal fermentation metabolites and microbial communities are not commonly assessed when investigating variation in ruminal CH(4) production. The aims of this study were to monitor diurnal patterns of: (i) gaseous and dissolved metabolite concentrations in the bovine rumen, (ii) H(2) and CH(4) emitted, and (iii) the rumen microbiota. Furthermore, the effect of dietary inclusion of linseed oil on these patterns was assessed. Four rumen cannulated multiparous cows were used in a cross-over design with two 17 days periods and two dietary treatments: a control diet and a linseed oil supplemented diet [40% maize silage, 30% grass silage, 30% concentrate on dry matter (DM) basis for both diets; fat contents of 33 vs. 56 g/kg of DM]. On day 11, rumen contents were sampled for 10 h after morning feeding to profile gaseous and dissolved metabolite concentrations and microbiota composition. H(2) and CH(4) emission (mass per unit of time) was measured in respiration chambers from day 13 to 17. A 100-fold increase in ruminal H(2) partial pressure (contribution to the total pressure of rumen headspace gases) was observed at 0.5 h after feeding. This peak was followed by a decline to basal level. Qualitatively similar patterns after feeding were also observed for H(2) and CH(4) emission, ethanol and lactate concentrations, and propionate molar proportion, although the opposite pattern was seen for acetate molar proportion. Associated with these patterns, a temporal biphasic change in the microbial composition was observed as based on 16S ribosomal RNA with certain taxa specifically associated with each phase. Bacterial concentrations (log(10) 16S ribosomal RNA gene copies based) were affected by time, and were increased by linseed oil supplementation. Archaeal concentrations (log(10) 16S ribosomal RNA gene copies based) tended to be affected by time and were not affected by diet, despite linseed oil supplementation decreasing CH(4) emission, tending to decrease the partial pressure of CH(4), and tending to increase propionate molar proportion. Linseed oil supplementation affected microbiota composition, and was most associated with an uncultivated Bacteroidales taxon. In summary, our findings support the importance of diurnal dynamics for the understanding of VFA, H(2), and CH(4) production.
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spelling pubmed-53554752017-03-31 Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen van Lingen, Henk J. Edwards, Joan E. Vaidya, Jueeli D. van Gastelen, Sanne Saccenti, Edoardo van den Bogert, Bartholomeus Bannink, André Smidt, Hauke Plugge, Caroline M. Dijkstra, Jan Front Microbiol Microbiology Diurnal patterns of ruminal fermentation metabolites and microbial communities are not commonly assessed when investigating variation in ruminal CH(4) production. The aims of this study were to monitor diurnal patterns of: (i) gaseous and dissolved metabolite concentrations in the bovine rumen, (ii) H(2) and CH(4) emitted, and (iii) the rumen microbiota. Furthermore, the effect of dietary inclusion of linseed oil on these patterns was assessed. Four rumen cannulated multiparous cows were used in a cross-over design with two 17 days periods and two dietary treatments: a control diet and a linseed oil supplemented diet [40% maize silage, 30% grass silage, 30% concentrate on dry matter (DM) basis for both diets; fat contents of 33 vs. 56 g/kg of DM]. On day 11, rumen contents were sampled for 10 h after morning feeding to profile gaseous and dissolved metabolite concentrations and microbiota composition. H(2) and CH(4) emission (mass per unit of time) was measured in respiration chambers from day 13 to 17. A 100-fold increase in ruminal H(2) partial pressure (contribution to the total pressure of rumen headspace gases) was observed at 0.5 h after feeding. This peak was followed by a decline to basal level. Qualitatively similar patterns after feeding were also observed for H(2) and CH(4) emission, ethanol and lactate concentrations, and propionate molar proportion, although the opposite pattern was seen for acetate molar proportion. Associated with these patterns, a temporal biphasic change in the microbial composition was observed as based on 16S ribosomal RNA with certain taxa specifically associated with each phase. Bacterial concentrations (log(10) 16S ribosomal RNA gene copies based) were affected by time, and were increased by linseed oil supplementation. Archaeal concentrations (log(10) 16S ribosomal RNA gene copies based) tended to be affected by time and were not affected by diet, despite linseed oil supplementation decreasing CH(4) emission, tending to decrease the partial pressure of CH(4), and tending to increase propionate molar proportion. Linseed oil supplementation affected microbiota composition, and was most associated with an uncultivated Bacteroidales taxon. In summary, our findings support the importance of diurnal dynamics for the understanding of VFA, H(2), and CH(4) production. Frontiers Media S.A. 2017-03-17 /pmc/articles/PMC5355475/ /pubmed/28367142 http://dx.doi.org/10.3389/fmicb.2017.00425 Text en Copyright © 2017 van Lingen, Edwards, Vaidya, van Gastelen, Saccenti, van den Bogert, Bannink, Smidt, Plugge and Dijkstra. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
van Lingen, Henk J.
Edwards, Joan E.
Vaidya, Jueeli D.
van Gastelen, Sanne
Saccenti, Edoardo
van den Bogert, Bartholomeus
Bannink, André
Smidt, Hauke
Plugge, Caroline M.
Dijkstra, Jan
Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
title Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
title_full Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
title_fullStr Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
title_full_unstemmed Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
title_short Diurnal Dynamics of Gaseous and Dissolved Metabolites and Microbiota Composition in the Bovine Rumen
title_sort diurnal dynamics of gaseous and dissolved metabolites and microbiota composition in the bovine rumen
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355475/
https://www.ncbi.nlm.nih.gov/pubmed/28367142
http://dx.doi.org/10.3389/fmicb.2017.00425
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