High-throughput methods redefine the rumen microbiome and its relationship with nutrition and metabolism

Bioinformatics and Biology Insights

Volumn 8, Issue , 2014, Pages 109-125

  McCann, Joshua C ^a   Wickersham, Tryon A ^b   Loor, Juan J ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Cattle; Metabolism; Microbiome; Nutrition; Rumen

Indexed keywords

RNA 16S;

16S RIBOSOMAL RNA GENE; ANAEROBIC METABOLISM; ARCHAEON; BACTERIUM IDENTIFICATION; BEEF CATTLE; BIOCHEMICAL COMPOSITION; CATTLE FARMING; CLIMATE; COMMUNITY DYNAMICS; CULTURE TECHNIQUE; DAIRY CATTLE; DIETARY INTAKE; FAT INTAKE; FERMENTATION; FOOD QUALITY; FORAGE; GENE SEQUENCE; GENOME ANALYSIS; HIGH THROUGHPUT SCREENING; HUMAN; MAIZE; METABOLISM; METAGENOMICS; MICROBIAL ACTIVITY; MICROBIAL COMMUNITY; MICROBIAL GROWTH; MICROBIOLOGY; MICROBIOME; MOLECULAR BIOLOGY; NONHUMAN; NUTRITION; PREDICTION; PREVOTELLA; PYROSEQUENCING; REVIEW; RUMINANT STOMACH; TAXONOMY;

EID: 84902128831     PISSN: None     EISSN: 11779322     Source Type: Journal    
DOI: 10.4137/bbi.s15389     Document Type: Review

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