Ruminal Bacterial Communities and Metabolome Variation in Beef Heifers Divergent in Feed Efficiency

被引:6
作者
Clemmons, Brooke A. [1 ]
Mulon, Pierre-Yves [2 ]
Anderson, David E. [2 ]
Ault-Seay, Taylor B. [1 ]
Henniger, Madison T. [1 ]
Schneider, Liesel G. [1 ]
Staton, Meg [3 ]
Voy, Brynn H. [1 ]
Donohoe, Dallas R. [4 ]
Campagna, Shawn R. [5 ]
Mclean, Kyle J. [1 ]
Myer, Phillip R. [1 ]
机构
[1] Univ Tennessee, Dept Anim Sci, Knoxville, TN 37996 USA
[2] Univ Tennessee, Coll Vet Med, Dept Large Anim Clin Sci, Knoxville, TN 37996 USA
[3] Univ Tennessee, Dept Entomol & Plant Pathol, Knoxville, TN 37996 USA
[4] Univ Tennessee, Dept Nutr, Knoxville, TN 37996 USA
[5] Univ Tennessee, Dept Chem, Knoxville, TN 37996 USA
来源
RUMINANTS | 2022年 / 2卷 / 02期
基金
美国食品与农业研究所;
关键词
microbiome; beef cattle; metabolome; feed efficiency; heifer; CHAIN AMINO-ACIDS; MASS-SPECTROMETRY; BILE-ACIDS; CATTLE; RUMEN; PERFORMANCE; MICROBIOME; ASPARAGINE; COWS;
D O I
10.3390/ruminants2020019
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
This study determined potential microbial and metabolic biomarkers of feed efficiency in Angus heifers. Seventeen ruminal cannulated Angus heifers underwent a 70-day feed efficiency trial. Residual feed intake was used to determine high and low feed efficient heifers. On day 70 of the trial, rumen content and blood were collected and used for microbial and metabolomic analyses, respectively. Bacterial populations were examined by targeting the V4 region of the 16S rRNA gene and analyzed using QIIME and SAS. Rumen fluid and serum metabolites were analyzed using MetaboAnalyst. No microbial taxa differed after false discovery rate correction, but seven did differ (p <= 0.05) prior to correction, including Lachnospiraceae (Other), Desulfobulbaceae, Neisseriaceae, Shuttleworthia, Corynebacterium, p-75-a5, and L7A-E11. No differences were observed in alpha diversity metrics. Beta diversity utilizing unweighted UniFrac distances analyzed via PERMANOVA was significant (p = 0.03). Several metabolites in rumen fluid metabolites were correlated with bacteria that differed by feed efficiency phenotype. The metabolites correlated with bacteria were primarily involved in nutrient signaling and microbial crude protein availability. These data suggest variation in the availability of nutrients, primarily amino acids, as well as a relationship among microbiota, metabolome, and host feed efficiency phenotypes in heifers.
引用
收藏
页码:282 / 296
页数:15
相关论文
共 58 条
[1]   Identification of single nucleotide polymorphisms in genes involved in digestive and metabolic processes associated with feed efficiency and performance traits in beef cattle [J].
Abo-Ismail, M. K. ;
Kelly, M. J. ;
Squires, E. J. ;
Swanson, K. C. ;
Bauck, S. ;
Miller, S. P. .
JOURNAL OF ANIMAL SCIENCE, 2013, 91 (06) :2512-2529
[2]   The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update [J].
Afgan, Enis ;
Baker, Dannon ;
Batut, Berenice ;
van den Beek, Marius ;
Bouvier, Dave ;
Cech, Martin ;
Chilton, John ;
Clements, Dave ;
Coraor, Nate ;
Gruening, Bjoern A. ;
Guerler, Aysam ;
Hillman-Jackson, Jennifer ;
Hiltemann, Saskia ;
Jalili, Vahid ;
Rasche, Helena ;
Soranzo, Nicola ;
Goecks, Jeremy ;
Taylor, James ;
Nekrutenko, Anton ;
Blankenberg, Daniel .
NUCLEIC ACIDS RESEARCH, 2018, 46 (W1) :W537-W544
[3]   Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle [J].
Alexandre, Pamela A. ;
Kogelman, Lisette J. A. ;
Santana, Miguel H. A. ;
Passarelli, Danielle ;
Pulz, Lidia H. ;
Fantinato-Neto, Paulo ;
Silva, Paulo L. ;
Leme, Paulo R. ;
Strefezzi, Ricardo F. ;
Coutinho, Luiz L. ;
Ferraz, Jose B. S. ;
Eler, Joanie P. ;
Kadarmideen, Haja N. ;
Fukumasu, Heidge .
BMC GENOMICS, 2015, 16
[4]   Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton [J].
Apprill, Amy ;
McNally, Sean ;
Parsons, Rachel ;
Weber, Laura .
AQUATIC MICROBIAL ECOLOGY, 2015, 75 (02) :129-137
[5]   Potential for selection to improve efficiency of feed use in beef cattle: a review [J].
Archer, JA ;
Richardson, EC ;
Herd, RM ;
Arthur, PF .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 1999, 50 (02) :147-161
[6]   Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants [J].
Ben Shabat, Sheerli Kruger ;
Sasson, Goor ;
Doron-Faigenboim, Adi ;
Durman, Thomer ;
Yaacoby, Shamay ;
Miller, Margret E. Berg ;
White, Bryan A. ;
Shterzer, Naama ;
Mizrahi, Itzhak .
ISME JOURNAL, 2016, 10 (12) :2958-2972
[7]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[8]   Branched-chain amino acids: Enzyme and substrate regulation [J].
Brosnan, JT ;
Brosnan, ME .
JOURNAL OF NUTRITION, 2006, 136 (01) :207S-211S
[9]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[10]   DEGRADATION OF AMINO-ACIDS BY MIXED RUMEN MICROBIAL-POPULATION [J].
CHALUPA, W .
JOURNAL OF ANIMAL SCIENCE, 1976, 43 (04) :828-834