A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments
The structure and function of the microbiome inhabiting the rumen are, amongst other factors, mainly shaped by the animal's feed intake. Describing the influence of different diets on the inherent community arrangement and associated metabolic activities of the most active ruminal fractions (ba...
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doaj-bc94edd88bda45d08be656a668c4312d2020-11-24T22:57:08ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2017-08-01810.3389/fmicb.2017.01605267248A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and MicroenvironmentsSimon Deusch0Amélia Camarinha-Silva1Jürgen Conrad2Uwe Beifuss3Markus Rodehutscord4Jana Seifert5Department of Feed-Gut Microbiota Interaction, Institute of Animal Science, University of HohenheimStuttgart, GermanyDepartment of Feed-Gut Microbiota Interaction, Institute of Animal Science, University of HohenheimStuttgart, GermanyDepartment of Bioorganic Chemistry, Institute of Chemistry, University of HohenheimStuttgart, GermanyDepartment of Bioorganic Chemistry, Institute of Chemistry, University of HohenheimStuttgart, GermanyDepartment of Feed-Gut Microbiota Interaction, Institute of Animal Science, University of HohenheimStuttgart, GermanyDepartment of Feed-Gut Microbiota Interaction, Institute of Animal Science, University of HohenheimStuttgart, GermanyThe structure and function of the microbiome inhabiting the rumen are, amongst other factors, mainly shaped by the animal's feed intake. Describing the influence of different diets on the inherent community arrangement and associated metabolic activities of the most active ruminal fractions (bacteria and archaea) is of great interest for animal nutrition, biotechnology, and climatology. Samples were obtained from three fistulated Jersey cows rotationally fed with corn silage, grass silage or grass hay, each supplemented with a concentrate mixture. Samples were fractionated into ruminal fluid, particle-associated rumen liquid, and solid matter. DNA, proteins and metabolites were analyzed subsequently. DNA extracts were used for Illumina sequencing of the 16S rRNA gene and the metabolomes of rumen fluids were determined by 500 MHz-NMR spectroscopy. Tryptic peptides derived from protein extracts were measured by LC-ESI-MS/MS and spectra were processed by a two-step database search for quantitative metaproteome characterization. Data are available via ProteomeXchange with the identifier PXD006070. Protein- and DNA-based datasets revealed significant differences between sample fractions and diets and affirmed similar trends concerning shifts in phylogenetic composition. Ribosomal genes and proteins belonging to the phylum of Proteobacteria, particularly Succinivibrionaceae, exhibited a higher abundance in corn silage-based samples while fiber-degraders of the Lachnospiraceae family emerged in great quantities throughout the solid phase fractions. The analysis of 8163 quantified bacterial proteins revealed the presence of 166 carbohydrate active enzymes in varying abundance. Cellulosome affiliated proteins were less expressed in the grass silage, glycoside hydrolases appeared in slightest numbers in the corn silage. Most expressed glycoside hydrolases belonged to families 57 and 2. Enzymes analogous to ABC transporters for amino acids and monosaccharides were more abundant in the corn silage whereas oligosaccharide transporters showed a higher abundance in the fiber-rich diets. Proteins involved in carbon metabolism were detected in high numbers and identification of metabolites like short-chain fatty acids, methylamines and phenylpropionate by NMR enabled linkage between producers and products. This study forms a solid basis to retrieve deeper insight into the complex network of microbial adaptation in the rumen.http://journal.frontiersin.org/article/10.3389/fmicb.2017.01605/fullrumen microbiomedietary impactmetaproteomicsLC-ESI-MS/MS16S rRNA geneNMR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Simon Deusch Amélia Camarinha-Silva Jürgen Conrad Uwe Beifuss Markus Rodehutscord Jana Seifert |
spellingShingle |
Simon Deusch Amélia Camarinha-Silva Jürgen Conrad Uwe Beifuss Markus Rodehutscord Jana Seifert A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments Frontiers in Microbiology rumen microbiome dietary impact metaproteomics LC-ESI-MS/MS 16S rRNA gene NMR |
author_facet |
Simon Deusch Amélia Camarinha-Silva Jürgen Conrad Uwe Beifuss Markus Rodehutscord Jana Seifert |
author_sort |
Simon Deusch |
title |
A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments |
title_short |
A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments |
title_full |
A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments |
title_fullStr |
A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments |
title_full_unstemmed |
A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and Microenvironments |
title_sort |
structural and functional elucidation of the rumen microbiome influenced by various diets and microenvironments |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Microbiology |
issn |
1664-302X |
publishDate |
2017-08-01 |
description |
The structure and function of the microbiome inhabiting the rumen are, amongst other factors, mainly shaped by the animal's feed intake. Describing the influence of different diets on the inherent community arrangement and associated metabolic activities of the most active ruminal fractions (bacteria and archaea) is of great interest for animal nutrition, biotechnology, and climatology. Samples were obtained from three fistulated Jersey cows rotationally fed with corn silage, grass silage or grass hay, each supplemented with a concentrate mixture. Samples were fractionated into ruminal fluid, particle-associated rumen liquid, and solid matter. DNA, proteins and metabolites were analyzed subsequently. DNA extracts were used for Illumina sequencing of the 16S rRNA gene and the metabolomes of rumen fluids were determined by 500 MHz-NMR spectroscopy. Tryptic peptides derived from protein extracts were measured by LC-ESI-MS/MS and spectra were processed by a two-step database search for quantitative metaproteome characterization. Data are available via ProteomeXchange with the identifier PXD006070. Protein- and DNA-based datasets revealed significant differences between sample fractions and diets and affirmed similar trends concerning shifts in phylogenetic composition. Ribosomal genes and proteins belonging to the phylum of Proteobacteria, particularly Succinivibrionaceae, exhibited a higher abundance in corn silage-based samples while fiber-degraders of the Lachnospiraceae family emerged in great quantities throughout the solid phase fractions. The analysis of 8163 quantified bacterial proteins revealed the presence of 166 carbohydrate active enzymes in varying abundance. Cellulosome affiliated proteins were less expressed in the grass silage, glycoside hydrolases appeared in slightest numbers in the corn silage. Most expressed glycoside hydrolases belonged to families 57 and 2. Enzymes analogous to ABC transporters for amino acids and monosaccharides were more abundant in the corn silage whereas oligosaccharide transporters showed a higher abundance in the fiber-rich diets. Proteins involved in carbon metabolism were detected in high numbers and identification of metabolites like short-chain fatty acids, methylamines and phenylpropionate by NMR enabled linkage between producers and products. This study forms a solid basis to retrieve deeper insight into the complex network of microbial adaptation in the rumen. |
topic |
rumen microbiome dietary impact metaproteomics LC-ESI-MS/MS 16S rRNA gene NMR |
url |
http://journal.frontiersin.org/article/10.3389/fmicb.2017.01605/full |
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