Literature DB >> 21742925

Identification and characterization of potential performance-related gut microbiotas in broiler chickens across various feeding trials.

Valeria A Torok1, Robert J Hughes, Lene L Mikkelsen, Rider Perez-Maldonado, Katherine Balding, Ron MacAlpine, Nigel J Percy, Kathy Ophel-Keller.   

Abstract

Three broiler feeding trials were investigated in order to identify gut bacteria consistently linked with improvements in bird performance as measured by feed efficiency. Trials were done in various geographic locations and varied in diet composition, broiler breed, and bird age. Gut microbial communities were investigated using microbial profiling. Eight common performance-linked operational taxonomic units (OTUs) were identified within both the ilea (180, 492, and 564-566) and ceca (140-142, 218-220, 284-286, 312, and 482) across trials. OTU 564-566 was associated with lower performance, while OTUs 140-142, 482, and 492 were associated with improved performance. Targeted cloning and sequencing of these eight OTUs revealed that they represented 26 bacterial species or phylotypes which clustered phylogenetically into seven groups related to Lactobacillus spp., Ruminococcaceae, Clostridiales, Gammaproteobacteria, Bacteroidales, Clostridiales/Lachnospiraceae, and unclassified bacteria/clostridia. Where bacteria were identifiable to the phylum level, they belonged predominantly to the Firmicutes, with Bacteroidetes and Proteobacteria also identified. Some of the potential performance-related phylotypes showed high sequence identity with classified bacteria (Lactobacillus salivarius, Lactobacillus aviarius, Lactobacillus crispatus, Faecalibacterium prausnitzii, Escherichia coli, Gallibacterium anatis, Clostridium lactatifermentans, Ruminococcus torques, Bacteroides vulgatus, and Alistipes finegoldii). The 16S rRNA gene sequence information generated will allow quantitative assays to be developed which will enable elucidations of which of these phylotypes are truly performance related. This information could be used to monitor strategies to improve feed efficiency and feed formulation for optimal gut health.

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Year:  2011        PMID: 21742925      PMCID: PMC3165380          DOI: 10.1128/AEM.00165-11

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  73 in total

1.  16S rRNA gene-based analysis of mucosa-associated bacterial community and phylogeny in the chicken gastrointestinal tracts: from crops to ceca.

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Journal:  FEMS Microbiol Ecol       Date:  2007-01       Impact factor: 4.194

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Authors:  T A Niewold
Journal:  Poult Sci       Date:  2007-04       Impact factor: 3.352

3.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

Authors:  Qiong Wang; George M Garrity; James M Tiedje; James R Cole
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

4.  MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.

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Journal:  Mol Biol Evol       Date:  2007-05-07       Impact factor: 16.240

5.  Competitive exclusion of Salmonella enterica serovar Enteritidis by Lactobacillus crispatus and Clostridium lactatifermentans in a sequencing fed-batch culture.

Authors:  Paul W J J van der Wielen; Len J A Lipman; Frans van Knapen; Steef Biesterveld
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6.  Microbial ecology: human gut microbes associated with obesity.

Authors:  Ruth E Ley; Peter J Turnbaugh; Samuel Klein; Jeffrey I Gordon
Journal:  Nature       Date:  2006-12-21       Impact factor: 49.962

7.  An obesity-associated gut microbiome with increased capacity for energy harvest.

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Journal:  Nature       Date:  2006-12-21       Impact factor: 49.962

8.  Maternal diet influences gene expression in intestine of offspring in chicken (Gallus gallus).

Authors:  Johanna M J Rebel; Saskia Van Hemert; Arjan J W Hoekman; Francis R M Balk; Norbert Stockhofe-Zurwieden; Dirk Bakker; Mari A Smits
Journal:  Comp Biochem Physiol A Mol Integr Physiol       Date:  2006-09-01       Impact factor: 2.320

9.  Succession in the intestinal microbiota of preadolescent turkeys.

Authors:  Alexandra J Scupham
Journal:  FEMS Microbiol Ecol       Date:  2007-01-26       Impact factor: 4.194

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Journal:  Gastroenterology       Date:  2007-04-14       Impact factor: 22.682

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  83 in total

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

Authors:  Timothy J Johnson; Bonnie P Youmans; Sally Noll; Carol Cardona; Nicholas P Evans; T Peter Karnezos; John M Ngunjiri; Michael C Abundo; Chang-Won Lee
Journal:  Appl Environ Microbiol       Date:  2018-05-31       Impact factor: 4.792

2.  High through put 16S rRNA gene-based pyrosequencing analysis of the fecal microbiota of high FCR and low FCR broiler growers.

Authors:  K M Singh; T Shah; S Deshpande; S J Jakhesara; P G Koringa; D N Rank; C G Joshi
Journal:  Mol Biol Rep       Date:  2012-10-10       Impact factor: 2.316

3.  Exploring a Possible Link between the Intestinal Microbiota and Feed Efficiency in Pigs.

Authors:  Ursula M McCormack; Tânia Curião; Stefan G Buzoianu; Maria L Prieto; Tomas Ryan; Patrick Varley; Fiona Crispie; Elizabeth Magowan; Barbara U Metzler-Zebeli; Donagh Berry; Orla O'Sullivan; Paul D Cotter; Gillian E Gardiner; Peadar G Lawlor
Journal:  Appl Environ Microbiol       Date:  2017-07-17       Impact factor: 4.792

Review 4.  Intestinal microbiome of poultry and its interaction with host and diet.

Authors:  Deng Pan; Zhongtang Yu
Journal:  Gut Microbes       Date:  2013-10-31

5.  Bacillus subtilis Strain DSM 29784 Modulates the Cecal Microbiome, Concentration of Short-Chain Fatty Acids, and Apparent Retention of Dietary Components in Shaver White Chickens during Grower, Developer, and Laying Phases.

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Journal:  Appl Environ Microbiol       Date:  2019-07-01       Impact factor: 4.792

6.  Farm Stage, Bird Age, and Body Site Dominantly Affect the Quantity, Taxonomic Composition, and Dynamics of Respiratory and Gut Microbiota of Commercial Layer Chickens.

Authors:  John M Ngunjiri; Kara J M Taylor; Michael C Abundo; Hyesun Jang; Mohamed Elaish; Mahesh Kc; Amir Ghorbani; Saranga Wijeratne; Bonnie P Weber; Timothy J Johnson; Chang-Won Lee
Journal:  Appl Environ Microbiol       Date:  2019-04-18       Impact factor: 4.792

7.  Coadministration of the Campylobacter jejuni N-Glycan-Based Vaccine with Probiotics Improves Vaccine Performance in Broiler Chickens.

Authors:  H Nothaft; M E Perez-Muñoz; G J Gouveia; R M Duar; J J Wanford; L Lango-Scholey; C G Panagos; V Srithayakumar; G S Plastow; C Coros; C D Bayliss; A S Edison; J Walter; C M Szymanski
Journal:  Appl Environ Microbiol       Date:  2017-11-16       Impact factor: 4.792

8.  An Attenuated Salmonella enterica Serovar Typhimurium Strain and Galacto-Oligosaccharides Accelerate Clearance of Salmonella Infections in Poultry through Modifications to the Gut Microbiome.

Authors:  M Andrea Azcarate-Peril; Natasha Butz; Maria Belen Cadenas; Matthew Koci; Anne Ballou; Mary Mendoza; Rizwana Ali; Hosni Hassan
Journal:  Appl Environ Microbiol       Date:  2018-02-14       Impact factor: 4.792

9.  Cecal microbiome divergence of broiler chickens by sex and body weight.

Authors:  Kyu-Chan Lee; Dong Yong Kil; Woo Jun Sul
Journal:  J Microbiol       Date:  2017-12-07       Impact factor: 3.422

10.  Butyrate-producing bacteria, including mucin degraders, from the swine intestinal tract.

Authors:  Uri Y Levine; Torey Looft; Heather K Allen; Thad B Stanton
Journal:  Appl Environ Microbiol       Date:  2013-04-12       Impact factor: 4.792

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