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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
2016
PLoS Genetics
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In the metagenomic analysis of rumen contents, we identified 3970 microbial genes of which 20 and 49 genes were significantly associated with methane emissions and feed conversion efficiency respectively ...
Rumen metagenomic profiling was undertaken to investigate links between microbial genes and methane emissions or feed conversion efficiency. ...
Contributed reagents/materials/analysis tools: NM RJW MW. Wrote the paper: RR RJW RJD. ...
doi:10.1371/journal.pgen.1005846
pmid:26891056
pmcid:PMC4758630
fatcat:orhm6ty2uzhc3njlu3wsrof4xi
Identification of Rumen Microbial Genes Involved in Pathways Linked to Appetite, Growth, and Feed Conversion Efficiency in Cattle
2019
Frontiers in Genetics
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Consistent with this result, distinct clusters of a coabundance network were enriched with microbial genes identified to be related with feed conversion ratio and growth rate or daily feed intake and residual ...
In the present research, the influence of the rumen microbiome on feed conversion efficiency, growth rate, and appetite of beef cattle was investigated using metagenomic data. ...
Rumen Microbial Genes Associated With Feed Conversion Efficiency Traits The PLS analyses identified sets of 20 and 14 microbial genes whose relative abundances explained 63.4 and 65.4% of the variation ...
doi:10.3389/fgene.2019.00701
pmid:31440274
pmcid:PMC6694183
fatcat:ff7wctkhajgfvozwexn5vvsfxq
Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism
2017
Genetics Selection Evolution
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Metaproteomics describes the proteins present in the ecosystem, and is therefore arguably a better indication of microbial metabolism. ...
Microbial rumen community analyses based on small subunit ribosomal RNA sequence analysis are not yet predictive of methane emissions from individual animals or treatments. ...
Acknowledgements The Rowett Institute of Nutrition and Health is funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. ...
doi:10.1186/s12711-017-0285-6
pmid:28093073
pmcid:PMC5240273
fatcat:r6bhgum4dbbfvolbadxkvfohdy
Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets
2018
Frontiers in Microbiology
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Finally, the genes involved in the methane synthesis pathway explained a higher proportion of variation in CH 4 emissions by PLS analysis compared to phylogenetic parameters or functional genes. ...
It is known that methane production (g/kgDMI) and to an extent the microbial community is heritable and therefore biomarkers can offer a method of selecting cattle for low methane emitting phenotypes. ...
Correlation analysis of microbial gene abundance was used to construct networks, where nodes represent microbial genes and edges the correlation in their abundance. ...
doi:10.3389/fmicb.2017.02642
pmid:29375511
pmcid:PMC5767246
fatcat:es6746tqufa3vknfyg6ylofpri
Tiny but mighty: The role of the rumen microbes in livestock production
2018
Journal of Animal Science
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Consisting of bacteria, protozoa, fungi, archaea, and viruses, the rumen microbiome composes a sophisticated network of symbiosis essential to maintenance, immune function, and overall production efficiency ...
the rumen microbial composition to enhance long-term host health and performance. ...
Additionally, functional analysis of microbes associated with feed conversion ratio uncovered 49 genes that explained 85.5% of the variation. ...
doi:10.1093/jas/skx053
pmid:29385535
pmcid:PMC6140983
fatcat:yovqjpoaufh2zhstuecszasd5y
Identification of Complex Rumen Microbiome Interaction Within Diverse Functional Niches as Mechanisms Affecting the Variation of Methane Emissions in Bovine
2020
Frontiers in Microbiology
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A network analysis including relative abundances of all ruminal microbial genera (archaea, bacteria, fungi, and protists) and their genes was performed to improve our understanding of how the interactions ...
Our study provides insight into the interactions of the rumen microbial communities and their genes by uncovering functional niches affecting CH4, which will benefit the development of efficient CH4 mitigation ...
Co-abundance Network Analysis The interactions among all microbial genes and genera (2,717 variables in total) were investigated from the rumen microbiome of the 63 animals in a co-abundance network analysis ...
doi:10.3389/fmicb.2020.00659
pmid:32362882
pmcid:PMC7181398
fatcat:uwj7lmmw4jhbnasvv2q6oadoja
Review: The compositional variation of the rumen microbiome and its effect on host performance and methane emission
2018
Animal
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In this review, we focus on the natural variations in community composition, which are not the results of different management or feed but rather intrinsic features of animals. ...
From the moment the feed is ingested, it enters a vast cascade in which specialized microorganisms degrade specific components of the feed turning them into molecules, which in turn are utilized as anabolic ...
Acknowledgments The authors thank Tanita Wein and Matthew Metzger for their helpful comments and critical reading of the manuscript. ...
doi:10.1017/s1751731118001957
pmid:30139398
fatcat:wysoc3lqcrhlpbmwxgiddirnfe
Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range
2015
Scientific Reports
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Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. ...
Rumen and camelid foregut microbial community composition was determined in 742 samples from 32 animal species and 35 countries, to estimate if this was influenced by diet, host species, or geography. ...
The following funding sources allowed Global Rumen Census collaborators to supply samples and metadata, listed with the primary contact(s) for each funding source: Agencia Nacional de Investigación ...
doi:10.1038/srep14567
pmid:26449758
pmcid:PMC4598811
fatcat:xc6jj2yxhfcrngtjvv7aqwknca
Erratum: Erratum: Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range
2016
Scientific Reports
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Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. ...
Rumen and camelid foregut microbial community composition was determined in 742 samples from 32 animal species and 35 countries, to estimate if this was influenced by diet, host species, or geography. ...
The following funding sources allowed Global Rumen Census collaborators to supply samples and metadata, listed with the primary contact(s) for each funding source: Agencia Nacional de Investigación ...
doi:10.1038/srep19175
pmid:26789699
pmcid:PMC4726308
fatcat:s5ofpnocufakfoadyz2a6cfrca
Unlocking the potential of insect and ruminant host symbionts for recycling of lignocellulosic carbon with a biorefinery approach: a review
2021
Microbial Cell Factories
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This review provides a deep insight into the significant breakthroughs attained in enrichment strategy of gut microbial community and its molecular characterization techniques which aids in understanding ...
A diverse class of microbes and enzymes are being exploited for biofuels production for a series of treatment process, however, the conversion efficiency of wide range of lignocellulosic biomass (LCB) ...
Vinod Kumar and Dr. Anuj Kumar Chandel for their valuable contribution in framing the manuscript. ...
doi:10.1186/s12934-021-01597-0
pmid:34044834
fatcat:rci4au7dqrdptesbobmmqgdiru
Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future
2018
Frontiers in Microbiology
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The rumen is a complex ecosystem composed of anaerobic bacteria, protozoa, fungi, methanogenic archaea and phages. ...
These microbes interact closely to breakdown plant material that cannot be digested by humans, whilst providing metabolic energy to the host and, in the case of archaea, producing methane. ...
In terms of metataxonomics, microbial correlations to feed efficiency and/or methane production in ruminants, using rRNA genes or the Methyl coenzyme M reductase (mcrA) gene in methanogens are difficult ...
doi:10.3389/fmicb.2018.02161
pmid:30319557
pmcid:PMC6167468
fatcat:az36f22n3ffq3l32irxzduf6cu
New aspects and strategies for methane mitigation from ruminants
2013
Applied Microbiology and Biotechnology
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Chemogenomics will help in finding target enzymes and 35 proteins, which will further assist in the screening of natural as well chemical inhibitors. 36 The construction of a methanogenic gene catalogue ...
This will lead to understand the microbiome function, its relation 38 with the host and feeds, and therefore, will form the basis of practically viable and eco-39 friendly methane mitigation approaches ...
of 597 diet type and feed efficiency status on rumen microbial populations in sheep. ...
doi:10.1007/s00253-013-5365-0
pmid:24247990
fatcat:w37gdptcuvbmpcs53w5kkmfpje
Rumen metaproteomics: closer to linking rumen microbial function to animal productivity traits
2020
Methods
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accurate reconstruction of active microbial populations in the rumen. ...
The rumen microbiome constitutes a dense and complex mixture of anaerobic bacteria, archaea, protozoa, virus and fungi. ...
ACKNOWLEDGEMENTS 634 We are grateful for support from The Research Council of Norway (Project no. 250479), the 635 ...
doi:10.1016/j.ymeth.2020.07.011
pmid:32758682
fatcat:yimq4kqz6reutprbf4ampujfzu
The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle
2017
Microbiome
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Roehe, R 2017, 'The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle' Microbiome, vol 5, no. 1. ...
Availability of data and materials These data can be downloaded from the European Nucleotide Archive under accession PRJEB10338 and PRJEB21624. ...
Irene Cabeza Luna, Andrew Southwell, Asier Zaragoza, Laura Nicoll, Lesley Deans, and Claire Broadbent for the excellent technical support. ...
doi:10.1186/s40168-017-0378-z
pmid:29228991
pmcid:PMC5725880
fatcat:ngrcqa2xjrbxrodqbcmccjjkmi
Correction to: The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle
2019
Microbiome
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Following publication of the original article [1], the authors reported an error in the Additional file 1. ...
Availability of data and materials These data can be downloaded from the European Nucleotide Archive under accession PRJEB10338 and PRJEB21624. ...
Irene Cabeza Luna, Andrew Southwell, Asier Zaragoza, Laura Nicoll, Lesley Deans, and Claire Broadbent for the excellent technical support. ...
doi:10.1186/s40168-019-0764-9
pmid:31739805
pmcid:PMC6862725
fatcat:lbk22bjrrjfydmqebrfrxjdidy
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