Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows
Authors
Keywords
-
Journal
JOURNAL OF ANIMAL BREEDING AND GENETICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-08-16
DOI
10.1111/jbg.12427
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hot topic: Selecting cattle for low residual feed intake did not affect daily methane production but increased methane yield
- (2019) H.E. Flay et al. JOURNAL OF DAIRY SCIENCE
- Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattle
- (2019) Beatriz Delgado et al. Scientific Reports
- Host genetics influence the rumen microbiota and heritable rumen microbial features associate with feed efficiency in cattle
- (2019) Fuyong Li et al. Microbiome
- A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions
- (2019) R. John Wallace et al. Science Advances
- Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets
- (2018) Marc D. Auffret et al. Frontiers in Microbiology
- MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data
- (2018) Florian Plaza Oñate et al. BIOINFORMATICS
- Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future
- (2018) Sharon A. Huws et al. Frontiers in Microbiology
- Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows
- (2018) Gareth Frank Difford et al. PLoS Genetics
- mixOmics: An R package for ‘omics feature selection and multiple data integration
- (2017) Florian Rohart et al. PLoS Computational Biology
- Methane Production in Dairy Cows Correlates with Rumen Methanogenic and Bacterial Community Structure
- (2017) Rebecca Danielsson et al. Frontiers in Microbiology
- The ruminal microbiome associated with methane emissions from ruminant livestock
- (2017) Ilma Tapio et al. Journal of Animal Science and Biotechnology
- Enterotypes in the landscape of gut microbial community composition
- (2017) Paul I. Costea et al. Nature Microbiology
- The radical mechanism of biological methane synthesis by methyl-coenzyme M reductase
- (2016) T. Wongnate et al. SCIENCE
- Rumen metagenome and metatranscriptome analyses of low methane yield sheep reveals a Sharpea-enriched microbiome characterised by lactic acid formation and utilisation
- (2016) Janine Kamke et al. Microbiome
- Ruminal Bacterial Community Composition in Dairy Cows Is Dynamic over the Course of Two Lactations and Correlates with Feed Efficiency
- (2015) Kelsea A. Jewell et al. APPLIED AND ENVIRONMENTAL MICROBIOLOGY
- The rumen microbial metagenome associated with high methane production in cattle
- (2015) R. John Wallace et al. BMC GENOMICS
- Redundancy, resilience, and host specificity of the ruminal microbiota: implications for engineering improved ruminal fermentations
- (2015) Paul J. Weimer Frontiers in Microbiology
- Rumen Microbiome from Steers Differing in Feed Efficiency
- (2015) Phillip R. Myer et al. PLoS One
- Illumina MiSeq Phylogenetic Amplicon Sequencing Shows a Large Reduction of an Uncharacterised Succinivibrionaceae and an Increase of the Methanobrevibacter gottschalkii Clade in Feed Restricted Cattle
- (2015) Matthew Sean McCabe et al. PLoS One
- Rethinking “Enterotypes”
- (2014) Dan Knights et al. Cell Host & Microbe
- Genome-Wide Regression and Prediction with the BGLR Statistical Package
- (2014) P. Perez et al. GENETICS
- Potential Role of the Bovine Rumen Microbiome in Modulating Milk Composition and Feed Efficiency
- (2014) Elie Jami et al. PLoS One
- Two Different Bacterial Community Types Are Linked with the Low-Methane Emission Trait in Sheep
- (2014) Sandra Kittelmann et al. PLoS One
- IM-TORNADO: A Tool for Comparison of 16S Reads from Paired-End Libraries
- (2014) Patricio Jeraldo et al. PLoS One
- RIM-DB: a taxonomic framework for community structure analysis of methanogenic archaea from the rumen and other intestinal environments
- (2014) Henning Seedorf et al. PeerJ
- Genome sequencing of rumen bacteria and archaea and its application to methane mitigation strategies
- (2013) S. C. Leahy et al. Animal
- Technical options for the mitigation of direct methane and nitrous oxide emissions from livestock: a review
- (2013) P. J. Gerber et al. Animal
- Methane emissions from beef and dairy cattle: Quantifying the effect of physiological stage and diet characteristics1
- (2013) P. Ricci et al. JOURNAL OF ANIMAL SCIENCE
- Methyl-Coenzyme M Reductase from Methanogenic Archaea: Isotope Effects on the Formation and Anaerobic Oxidation of Methane
- (2013) Silvan Scheller et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Differential abundance analysis for microbial marker-gene surveys
- (2013) Joseph N Paulson et al. NATURE METHODS
- Metagenomic Predictions: From Microbiome to Complex Health and Environmental Phenotypes in Humans and Cattle
- (2013) Elizabeth M. Ross et al. PLoS One
- Fast gapped-read alignment with Bowtie 2
- (2012) Ben Langmead et al. NATURE METHODS
- The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
- (2012) Christian Quast et al. NUCLEIC ACIDS RESEARCH
- Enterotypes of the human gut microbiome
- (2011) Manimozhiyan Arumugam et al. NATURE
- Isolation of Succinivibrionaceae Implicated in Low Methane Emissions from Tammar Wallabies
- (2011) P. B. Pope et al. SCIENCE
- Methane mitigation in ruminants: from microbe to the farm scale
- (2009) C. Martin et al. Animal
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
- (2009) P. D. Schloss et al. APPLIED AND ENVIRONMENTAL MICROBIOLOGY
- integrOmics: an R package to unravel relationships between two omics datasets
- (2009) Kim-Anh Lê Cao et al. BIOINFORMATICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now