Influence of wet distillers grains diets on beef cattle fecal bacterial community structure. 2012

William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
Conservation and Production Research Laboratory, USDA ARS, Bushland, TX 79012, USA. william.rice@ars.usda.gov

BACKGROUND The high demand for ethanol in the U.S. has generated large stocks of wet distillers grains (DG), a byproduct from the manufacture of ethanol from corn and sorghum grains. Little is known, however, about the potential influence of dietary DG on fecal microbial community structure. A better understanding of the microbial population in beef cattle feces could be an important monitoring tool to facilitate goals of improving nutrient management, increasing animal growth performance and decreasing odors and/or shedding of pathogens. Five diets consisting of a traditional diet fed to finishing beef cattle in the Southern High Plains of Texas-CON (steam-flaked corn control with 0% DG), and four concentrations of DG in the dietary dry matter; 10 C (10% corn-based DG), 5S (5% sorghum-based DG), 10S (10% sorghum DG), and 15S (15% sorghum DG) were fed to steers at the Texas Tech University Burnett Animal Center. Diets were essentially isonitrogenous with a formulated crude protein value of 13.5%. RESULTS Fecal grab samples were obtained from 20 steers (n = 4 per diet) and the barcoded DNA pyrosequencing method was used to generate 127,530 16S operational taxonomic units (OTUs). A total of 24 phyla were observed, distributed amongst all beef cattle on all diets, revealing considerable animal to animal variation, however only six phyla (core set) were observed in all animals regardless of dietary treatment. The average abundance and range of abundance, respectively of the core phyla were as follows: Firmicutes (61%, 19 to 83%), Bacteroidetes (28%, 11 to 63%), Proteobacteria (3%, 0.34 to 17.5%), Tenericutes (0.15%, 0.0 to 0.35%), Nitrospirae (0.11%, 0.03 to 0.22%), and Fusobacteria (0.086%, 0.017 to 0.38%). Feeding DG-based diets resulted in significant shifts in the fecal microbial community structure compared with the traditional CON. Four low abundance phyla significantly responded to dietary treatments: Synergistetes (p = 0.01), WS3 (p = 0.054), Actinobacteria (p = 0.06), and Spirochaetes (p = 0.06). CONCLUSIONS This is, to our knowledge, the first study using this method to survey the fecal microbiome of beef cattle fed various concentrations of wet DG. Comparison of our results with other cattle DNA sequencing studies of beef and dairy cattle feces from a variety of geographical locations and different management practices identifies a core set of three phyla shared across all cattle. These three phyla, in order of relative abundance are; Firmicutes, Bacteroidetes, and Proteobacteria. The presence of large animal-to-animal variation in cattle microbiome was noted in our study as well as by others.

UI MeSH Term Description Entries
D002417 Cattle Domesticated bovine animals of the genus Bos, usually kept on a farm or ranch and used for the production of meat or dairy products or for heavy labor. Beef Cow,Bos grunniens,Bos indicus,Bos indicus Cattle,Bos taurus,Cow,Cow, Domestic,Dairy Cow,Holstein Cow,Indicine Cattle,Taurine Cattle,Taurus Cattle,Yak,Zebu,Beef Cows,Bos indicus Cattles,Cattle, Bos indicus,Cattle, Indicine,Cattle, Taurine,Cattle, Taurus,Cattles, Bos indicus,Cattles, Indicine,Cattles, Taurine,Cattles, Taurus,Cow, Beef,Cow, Dairy,Cow, Holstein,Cows,Dairy Cows,Domestic Cow,Domestic Cows,Indicine Cattles,Taurine Cattles,Taurus Cattles,Yaks,Zebus
D002523 Edible Grain SEEDS used as a major nutritional source, most often the grain from the POACEAE family. Cereals,Cereal Grain,Cereal,Cereal Grains,Edible Grains,Grain, Cereal,Grain, Edible,Grains, Cereal,Grains, Edible
D004032 Diet Regular course of eating and drinking adopted by a person or animal. Diets
D005243 Feces Excrement from the INTESTINES, containing unabsorbed solids, waste products, secretions, and BACTERIA of the DIGESTIVE SYSTEM.
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D001419 Bacteria One of the three domains of life (the others being Eukarya and ARCHAEA), also called Eubacteria. They are unicellular prokaryotic microorganisms which generally possess rigid cell walls, multiply by cell division, and exhibit three principal forms: round or coccal, rodlike or bacillary, and spiral or spirochetal. Bacteria can be classified by their response to OXYGEN: aerobic, anaerobic, or facultatively anaerobic; by the mode by which they obtain their energy: chemotrophy (via chemical reaction) or PHOTOTROPHY (via light reaction); for chemotrophs by their source of chemical energy: CHEMOLITHOTROPHY (from inorganic compounds) or chemoorganotrophy (from organic compounds); and by their source for CARBON; NITROGEN; etc.; HETEROTROPHY (from organic sources) or AUTOTROPHY (from CARBON DIOXIDE). They can also be classified by whether or not they stain (based on the structure of their CELL WALLS) with CRYSTAL VIOLET dye: gram-negative or gram-positive. Eubacteria
D012336 RNA, Ribosomal, 16S Constituent of 30S subunit prokaryotic ribosomes containing 1600 nucleotides and 21 proteins. 16S rRNA is involved in initiation of polypeptide synthesis. 16S Ribosomal RNA,16S rRNA,RNA, 16S Ribosomal,Ribosomal RNA, 16S,rRNA, 16S
D016000 Cluster Analysis A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both. Clustering,Analyses, Cluster,Analysis, Cluster,Cluster Analyses,Clusterings
D017422 Sequence Analysis, DNA A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis. DNA Sequence Analysis,Sequence Determination, DNA,Analysis, DNA Sequence,DNA Sequence Determination,DNA Sequence Determinations,DNA Sequencing,Determination, DNA Sequence,Determinations, DNA Sequence,Sequence Determinations, DNA,Analyses, DNA Sequence,DNA Sequence Analyses,Sequence Analyses, DNA,Sequencing, DNA
D058448 Biota The spectrum of different living organisms inhabiting a particular region, habitat, or biotope. Community Composition, Ecological,Community Structure, Ecological,Biocenose,Biological Community,Biotic Community,Ecological Community,Biocenoses,Biological Communities,Biotic Communities,Communities, Biological,Communities, Biotic,Communities, Ecological,Community Compositions, Ecological,Community Structures, Ecological,Community, Biological,Community, Biotic,Community, Ecological,Ecological Communities,Ecological Community Composition,Ecological Community Compositions,Ecological Community Structure,Ecological Community Structures,Structure, Ecological Community

Related Publications

William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
July 2021, Translational animal science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
August 2012, Letters in applied microbiology,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
February 2018, Meat science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
April 2008, Journal of animal science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
September 2015, Journal of animal science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
November 2010, Applied and environmental microbiology,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
February 2017, Journal of animal science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
February 2019, Journal of animal science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
April 2012, Journal of animal science,
William C Rice, and Michael L Galyean, and Stephen B Cox, and Scot E Dowd, and N Andy Cole
March 2010, Journal of animal science,
Copied contents to your clipboard!