Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants
about
Monensin and Nisin Affect Rumen Fermentation and Microbiota Differently In Vitro.Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle.Rumen metagenome and metatranscriptome analyses of low methane yield sheep reveals a Sharpea-enriched microbiome characterised by lactic acid formation and utilisation.Linking Peripartal Dynamics of Ruminal Microbiota to Dietary Changes and Production Parameters.Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolismUnderstanding host-microbial interactions in rumen: searching the best opportunity for microbiota manipulation.The ruminal microbiome associated with methane emissions from ruminant livestock.Methane Production in Dairy Cows Correlates with Rumen Methanogenic and Bacterial Community Structure.Heritable Bovine Rumen Bacteria Are Phylogenetically Related and Correlated with the Cow's Capacity To Harvest Energy from Its Feed.Taxon abundance, diversity, co-occurrence and network analysis of the ruminal microbiota in response to dietary changes in dairy cows.A Structural and Functional Elucidation of the Rumen Microbiome Influenced by Various Diets and MicroenvironmentsComparison of rumen bacterial communities in dairy herds of different production.Rumen Fluid Metabolomics Analysis Associated with Feed Efficiency on Crossbred Steers.Fermentation of Ammonia Fiber Expansion Treated and Untreated Barley Straw in a Rumen Simulation Technique Using Rumen Inoculum from Cattle with Slow versus Fast Rate of Fiber DisappearancePhloroglucinol Degradation in the Rumen Promotes the Capture of Excess Hydrogen Generated from Methanogenesis Inhibition.Intestinal microbiota profiles associated with low and high residual feed intake in chickens across two geographical locations.Enhancing the Resolution of Rumen Microbial Classification from Metatranscriptomic Data Using Kraken and Mothur.Effect of Dietary Forage to Concentrate Ratios on Dynamic Profile Changes and Interactions of Ruminal Microbiota and Metabolites in Holstein Heifers.Machine learning and data mining advance predictive big data analysis in precision animal agriculture.Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets.Impact of Chestnut and Quebracho Tannins on Rumen Microbiota of Bovines.Effects of fumaric acid supplementation on methane production and rumen fermentation in goats fed diets varying in forage and concentrate particle size.Patenting the microbiome: trends, challenges and insights.Assessing bacterial community dynamics across the gastrointestinal tract of dairy calves during pre-weaning development.Differential Microbial Communities of Omnivorous and Herbivorous Cattle in Southern China.Network-guided genomic and metagenomic analysis of the faecal microbiota of the critically endangered kakapo.Association of residual feed intake with abundance of ruminal bacteria and biopolymer hydrolyzing enzyme activities during the peripartal period and early lactation in Holstein dairy cows.Evaluating Established Methods for Rumen 16S rRNA Amplicon Sequencing With Mock Microbial Populations.Extract Supports Rumen Fermentation and Improves Microbial Diversity Compared to MonensinAssessment of rumen microbiota from a large cattle cohort reveals the pan and core bacteriome contributing to varied phenotypesAddressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and FutureThe Planktonic Core Microbiome and Core Functions in the Cattle Rumen by Next Generation SequencingPhytochemicals as antibiotic alternatives to promote growth and enhance host healthAltered Gut Microbiota and Compositional Changes in and in Mexican Undernourished and Obese ChildrenInsights Into Culturomics of the Rumen MicrobiomeResidual feed intake in beef cattle and its association with carcass traits, ruminal solid-fraction bacteria, and epithelium gene expressionRuminal methane emissions, metabolic, and microbial profile of Holstein steers fed forage and concentrate, separately or as a total mixed rationExposure to Yeast Shapes the Intestinal Bacterial Community Assembly in Zebrafish Larvae16S rRNA Sequencing Reveals Relationship Between Potent Cellulolytic Genera and Feed Efficiency in the Rumen of Bulls
P2860
Q33804511-F65DF0F2-0812-452D-89C0-F4DF696B00C5Q36290526-9986B890-9200-41E5-BD22-68DCF9822CD7Q37349621-CCD84010-9CDA-4B31-BD9F-19856162398EQ37580767-E4D6854B-B626-4C13-8178-F9839A20E3F5Q37589155-7CC4A058-69B1-43C7-AD25-8FAEA02B0056Q37593663-6E9B63C5-C06A-4A23-952C-489F9EA4BE95Q37593793-437617FD-035C-4EFF-9CBA-034B3AC1C050Q37647559-DC9DA10E-36B5-47DC-B8D7-4360DFD564CFQ38623193-7314565D-56BE-4A61-8D73-1AFDE5807C8EQ38680871-2EC7A001-D6B0-40C7-8240-DECF1C349A02Q41537408-FABBD687-C797-42EF-ABD9-F255A2BCC3D8Q41571806-DBE221DE-6694-4F57-8BC9-6DAF67CBE4A3Q42220122-048AE31A-1833-4C43-B777-E3AB2AACE92DQ42368375-4BF1D813-12AD-499A-83AB-BD937DFF20E5Q42373414-9765CE18-08A0-4DC5-A83E-331D0A4AFE3AQ46260975-9F6B4E45-C721-4916-9775-61D12303E309Q47140369-99B997B4-9373-4FCD-86F4-707D0175071CQ47318772-FBCF7E2B-570D-41E7-82D1-3D62A08301CCQ47554186-A80BBD51-3D26-4D84-9E34-A8477BA9B16CQ47708675-07C3FAA1-24D6-459B-AF07-2636375B3FF5Q49707377-14B60CE9-C205-4E94-BF70-7B1CE78F81D1Q49955746-203679F8-7749-42D3-9208-E95ACA6EC05CQ50075601-6853DCEC-99D4-484D-A989-A355EB3AEA6AQ50422100-DB3244CF-2371-42A0-A979-9210D7095DE7Q52568266-0761B63B-A08F-4A84-B360-0ABB4F449A02Q54974948-2D24B014-2F58-4AAD-AE95-BDC642E1AAF3Q55318079-BA033880-F32E-4CFF-BD2F-530A091C0F27Q55516308-2AC80984-0239-40EB-BCC5-DF4341840507Q57070627-3EC75124-7D78-4C14-A0D3-074C02817C13Q57174341-48CFFE98-6376-4702-952E-609390B2C754Q57492086-941E9F12-708E-413E-A091-6C3DF93766AEQ57492413-81EE78DC-1EDE-49D1-B791-64D60BD684B3Q57865609-628D2D4E-6A2E-471A-9630-1F40C1DFEA65Q58553838-B8656DE6-9A18-435F-B121-0BD48D62CE48Q58694255-FB1AFB9B-FF72-4B7D-AF98-A3CD9FEA307DQ58701659-429E5479-5D6C-4523-8282-4D36B9204BE6Q58778698-A48A4277-4526-4A33-AD73-505DA729FE9BQ58781057-19A62EFA-72C6-48E4-9ED9-C2AD96DE744AQ58789873-EFFA97A2-387B-4019-B598-44062E3A82F2
P2860
Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants
description
2016 nî lūn-bûn
@nan
2016 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Specific microbiome-dependent ...... arvest efficiency of ruminants
@ast
Specific microbiome-dependent ...... arvest efficiency of ruminants
@en
type
label
Specific microbiome-dependent ...... arvest efficiency of ruminants
@ast
Specific microbiome-dependent ...... arvest efficiency of ruminants
@en
prefLabel
Specific microbiome-dependent ...... arvest efficiency of ruminants
@ast
Specific microbiome-dependent ...... arvest efficiency of ruminants
@en
P2093
P2860
P3181
P356
P1433
P1476
Specific microbiome-dependent ...... arvest efficiency of ruminants
@en
P2093
Adi Doron-Faigenboim
Bryan A White
Goor Sasson
Itzhak Mizrahi
Naama Shterzer
Shamay Yaacoby
Sheerli Kruger Ben Shabat
Thomer Durman
P2860
P2888
P304
P3181
P356
10.1038/ISMEJ.2016.62
P407
P577
2016-12-01T00:00:00Z
P6179
1033046735