title: Animal-to-animal variation in fecal microbial diversity among beef cattle.
abstract: The intestinal microbiota of beef cattle are important for animal health, food safety, and methane emissions. This full-length sequencing survey of 11,171 16S rRNA genes reveals animal-to-animal variation in communities that cannot be attributed to breed, gender, diet, age, or weather. Beef communities differ from those of dairy. Core bovine taxa are identified.
authors.affiliation: USDA, ARS, AMRU, US Meat Animal Research Center, Nebraska, USA. lisa.durso@ars.usda.gov
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Durso
authors.forename: Gregory P
authors.initials: GP
authors.lastname: Harhay
authors.forename: Timothy P L
authors.initials: TP
authors.lastname: Smith
authors.forename: James L
authors.initials: JL
authors.lastname: Bono
authors.forename: Todd Z
authors.initials: TZ
authors.lastname: Desantis
authors.forename: Dayna M
authors.initials: DM
authors.lastname: Harhay
authors.forename: Gary L
authors.initials: GL
authors.lastname: Andersen
authors.forename: James E
authors.initials: JE
authors.lastname: Keen
authors.forename: William W
authors.initials: WW
authors.lastname: Laegreid
authors.forename: Michael L
authors.initials: ML
authors.lastname: Clawson
mesh_terms: D000818:Animals; D044822:Biodiversity; D002417:Cattle / Q000382:microbiology*; D016000:Cluster Analysis; D004269:DNA, Bacterial / Q000737:chemistry / Q000235:genetics; D004275:DNA, Ribosomal / Q000737:chemistry / Q000235:genetics; D005243:Feces / Q000382:microbiology*; D054892:Metagenome; D008969:Molecular Sequence Data; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D017422:Sequence Analysis, DNA
chemical_list: D004269:DNA, Bacterial; D004275:DNA, Ribosomal; D012336:RNA, Ribosomal, 16S
references.citation: Appl Environ Microbiol. 2005 Mar;71(3):1501-6
references.pmid: 15746353
references.citation: Lancet. 2003 Feb 8;361(9356):512-9
references.pmid: 12583961
references.citation: Appl Environ Microbiol. 2010 Apr;76(7):2086-90
references.pmid: 20139317
references.citation: Bioinformatics. 2004 Sep 22;20(14):2317-9
references.pmid: 15073015
references.citation: J Biosci Bioeng. 2003;96(4):317-23
references.pmid: 16233530
references.citation: Appl Environ Microbiol. 2007 Aug;73(16):5261-7
references.pmid: 17586664
references.citation: J Anim Sci. 1995 Aug;73(8):2483-92
references.pmid: 8567486
references.citation: BMC Microbiol. 2008 Jul 24;8:125
references.pmid: 18652685
references.citation: Appl Environ Microbiol. 2004 Jul;70(7):4267-75
references.pmid: 15240310
references.citation: Microbiol Mol Biol Rev. 2004 Dec;68(4):686-91
references.pmid: 15590780
references.citation: Biotechniques. 2000 Oct;29(4):698-700
references.pmid: 11056794
references.citation: ISME J. 2010 May;4(5):642-7
references.pmid: 20090784
references.citation: Nucleic Acids Res. 2008 Oct;36(18):e120
references.pmid: 18723574
references.citation: Nature. 1973 Jan 19;241(5386):210-1
references.pmid: 4700893
references.citation: Science. 2005 Jun 10;308(5728):1635-8
references.pmid: 15831718
references.citation: Biosci Biotechnol Biochem. 2005 Sep;69(9):1793-7
references.pmid: 16195605
references.citation: Appl Microbiol Biotechnol. 2010 Feb;85(6):1947-52
references.pmid: 19784643
references.citation: Nucleic Acids Res. 1994 Nov 11;22(22):4673-80
references.pmid: 7984417