A Consistent and Predictable Commercial Broiler Chicken Bacterial Microbiota in Antibiotic-Free Production Displays Strong Correlations with Performance

被引:4
作者
Johnson, Timothy J. [1 ,2 ]
Youmans, Bonnie P. [1 ]
Noll, Sally [3 ]
Cardona, Carol [1 ,2 ]
Evans, Nicholas P. [4 ]
Karnezos, T. Peter [4 ]
Ngunjiri, John M. [5 ]
Abundo, Michael C. [5 ,6 ]
Lee, Chang-Won [5 ,6 ]
机构
[1] Univ Minnesota, Dept Vet & Biomed Sci, St Paul, MN 55108 USA
[2] Univ Minnesota, Midcent Res & Outreach Ctr, Willmar, MN USA
[3] Univ Minnesota, Dept Anim Sci, St Paul, MN 55108 USA
[4] PMI Nutr Addit, Shoreview, MN USA
[5] Ohio State Univ, Ohio Agr Res & Dev Ctr, Food Anim Hlth Res Program, Wooster, OH 44691 USA
[6] Ohio State Univ, Dept Vet Prevent Med, Columbus, OH 43210 USA
基金
美国食品与农业研究所;
关键词
antibiotic free; broilers; chickens; microbiome; performance; poultry; SUCCESSION; SEQUENCE; LITTER; BIRDS;
D O I
10.1128/AEM.00362-18
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Defining the baseline bacterial microbiome is critical to understanding its relationship with health and disease. In broiler chickens, the core microbiome and its possible relationships with health and disease have been difficult to define, due to high variability between birds and flocks. Presented here are data from a large, comprehensive microbiota-based study in commercial broilers. The primary goals of this study included understanding what constitutes the core bacterial microbiota in the broiler gastrointestinal, respiratory, and barn environments; how these core players change across age, geography, and time; and which bacterial taxa correlate with enhanced bird performance in antibiotic-free flocks. Using 2,309 samples from 37 different commercial flocks within a vertically integrated broiler system and metadata from these and an additional 512 flocks within that system, the baseline bacterial microbiota was defined using 16S rRNA gene sequencing. The effects of age, sample type, flock, and successive flock cycles were compared, and results indicate a consistent, predictable, age-dependent bacterial microbiota, irrespective of flock. The tracheal bacterial microbiota of broilers was comprehensively defined, and Lactobacillus was the dominant bacterial taxon in the trachea. Numerous bacterial taxa were identified, which were strongly correlated with broiler chicken performance across multiple tissues. While many positively correlated taxa were identified, negatively associated potential pathogens were also identified in the absence of clinical disease, indicating that subclinical dynamics occur that impact performance. Overall, this work provides necessary baseline data for the development of effective antibiotic alternatives, such as probiotics, for sustainable poultry production. IMPORTANCE Multidrug-resistant bacterial pathogens are perhaps the greatest medical challenge we will face in the 21st century and beyond. Antibiotics are necessary in animal production to treat disease. As such, animal production is a contributor to the problem of antibiotic resistance. Efforts are underway to reduce antibiotic use in animal production. However, we are also challenged to feed the world's increasing population, and sustainable meat production is paramount to providing a safe and quality protein source for human consumption. In the absence of antibiotics, alternative approaches are needed to maintain health and prevent disease, and probiotics have great promise as one such approach. This work paves the way for the development of alternative approaches to raising poultry by increasing our understandings of what defines the poultry microbiome and of how it can potentially be modulated to improve animal health and performance.
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页数:18
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  • [1] Effects of concentration of corn distillers dried grains with solubles and enzyme supplementation on cecal microbiota and performance in broiler chickens
    Abudabos, Alaeldein M.
    Al-Atiyat, Raed M.
    Albatshan, Hamad A.
    Aljassim, Rafat
    Aljumaah, Mashael R.
    Alkhulaifi, Manal M.
    Stanley, Dragana M.
    [J]. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2017, 101 (18) : 7017 - 7026
  • [2] Differential expression analysis for sequence count data
    Anders, Simon
    Huber, Wolfgang
    [J]. GENOME BIOLOGY, 2010, 11 (10):
  • [3] Age-Related Differences in the Luminal and Mucosa-Associated Gut Microbiome of Broiler Chickens and Shifts Associated with Campylobacter jejuni Infection
    Awad, Wageha A.
    Mann, Evelyne
    Dzieciol, Monika
    Hess, Claudia
    Schmitz-Esser, Stephan
    Wagner, Martin
    Hess, Michael
    [J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2016, 6
  • [4] Infectious coryza: Overview of the disease and new diagnostic options
    Blackall, PJ
    [J]. CLINICAL MICROBIOLOGY REVIEWS, 1999, 12 (04) : 627 - +
  • [5] Insights into Broilers' Gut Microbiota Fed with Phosphorus, Calcium, and Phytase Supplemented Diets
    Borda-Molina, Daniel
    Vital, Marius
    Sommerfeld, Vera
    Rodehutscord, Markus
    Camarinha-Silva, Amelia
    [J]. FRONTIERS IN MICROBIOLOGY, 2016, 7
  • [6] Pathogenesis of Enterococcal Spondylitis Caused by Enterococcus cecorum in Broiler Chickens
    Borst, L. B.
    Suyemoto, M. M.
    Sarsour, A. H.
    Harris, M. C.
    Martin, M. P.
    Strickland, J. D.
    Oviedo, E. O.
    Barnes, H. J.
    [J]. VETERINARY PATHOLOGY, 2017, 54 (01) : 61 - 73
  • [7] Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
    Caporaso, J. Gregory
    Lauber, Christian L.
    Walters, William A.
    Berg-Lyons, Donna
    Huntley, James
    Fierer, Noah
    Owens, Sarah M.
    Betley, Jason
    Fraser, Louise
    Bauer, Markus
    Gormley, Niall
    Gilbert, Jack A.
    Smith, Geoff
    Knight, Rob
    [J]. ISME JOURNAL, 2012, 6 (08) : 1621 - 1624
  • [8] QIIME allows analysis of high-throughput community sequencing data
    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
    [J]. NATURE METHODS, 2010, 7 (05) : 335 - 336
  • [9] Different antibiotic growth promoters induce specific changes in the cecal microbiota membership of broiler chicken
    Costa, Marcio C.
    Bessegatto, Jose A.
    Alfieri, Amauri A.
    Weese, J. Scott
    Filho, Joao A. B.
    Oba, Alexandre
    [J]. PLOS ONE, 2017, 12 (02):
  • [10] Interrelations between the Microbiotas in the Litter and in the Intestines of Commercial Broiler Chickens
    Cressman, Michael D.
    Yu, Zhongtang
    Nelson, Michael C.
    Moeller, Steven J.
    Lilburn, Michael S.
    Zerby, Henry N.
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2010, 76 (19) : 6572 - 6582