Literature DB >> 22249719

Intestinal microbiota associated with differential feed conversion efficiency in chickens.

Dragana Stanley1, Stuart E Denman, Robert J Hughes, Mark S Geier, Tamsyn M Crowley, Honglei Chen, Volker R Haring, Robert J Moore.   

Abstract

Analysis of model systems, for example in mice, has shown that the microbiota in the gastrointestinal tract can play an important role in the efficiency of energy extraction from diets. The study reported here aimed to determine whether there are correlations between gastrointestinal tract microbiota population structure and energy use in chickens. Efficiency in converting food into muscle mass has a significant impact on the intensive animal production industries, where feed represents the major portion of production costs. Despite extensive breeding and selection efforts, there are still large differences in the growth performance of animals fed identical diets and reared under the same conditions. Variability in growth performance presents management difficulties and causes economic loss. An understanding of possible microbiota drivers of these differences has potentially important benefits for industry. In this study, differences in cecal and jejunal microbiota between broiler chickens with extreme feed conversion capabilities were analysed in order to identify candidate bacteria that may influence growth performance. The jejunal microbiota was largely dominated by lactobacilli (over 99% of jejunal sequences) and showed no difference between the birds with high and low feed conversion ratios. The cecal microbial community displayed higher diversity, and 24 unclassified bacterial species were found to be significantly (<0.05) differentially abundant between high and low performing birds. Such differentially abundant bacteria represent target populations that could potentially be modified with prebiotics and probiotics in order to improve animal growth performance.

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Year:  2012        PMID: 22249719     DOI: 10.1007/s00253-011-3847-5

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  90 in total

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3.  Temporal dynamics of gut microbiota in caged laying hens: a field observation from hatching to end of lay.

Authors:  Nitish Joat; Thi Thu Hao Van; Dragana Stanley; Robert J Moore; Kapil Chousalkar
Journal:  Appl Microbiol Biotechnol       Date:  2021-05-20       Impact factor: 4.813

4.  Bacterial Succession in the Broiler Gastrointestinal Tract.

Authors:  Samir Ranjitkar; Blair Lawley; Gerald Tannock; Ricarda M Engberg
Journal:  Appl Environ Microbiol       Date:  2016-04-04       Impact factor: 4.792

Review 5.  Intestinal microbiome of poultry and its interaction with host and diet.

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Journal:  Gut Microbes       Date:  2013-10-31

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.  Improving sorghum digestion in broilers by targeting fermentation of xylan.

Authors:  Natalie K Morgan; Andrew Wallace; Michael R Bedford
Journal:  Anim Nutr       Date:  2022-04-25

8.  Influence of hand rearing and bird age on the fecal microbiota of the critically endangered kakapo.

Authors:  David W Waite; Daryl K Eason; Michael W Taylor
Journal:  Appl Environ Microbiol       Date:  2014-08       Impact factor: 4.792

9.  Safety of Mealworm Meal in Layer Diets and their Influence on Gut Morphology.

Authors:  Ondrej Stastnik; Jakub Novotny; Andrea Roztocilova; Petr Kouril; Vojtech Kumbar; Julius Cernik; Libor Kalhotka; Leos Pavlata; Lubor Lacina; Eva Mrkvicova
Journal:  Animals (Basel)       Date:  2021-05-18       Impact factor: 2.752

10.  Lacticaseibacillus rhamnosus Reduces the Pathogenicity of Escherichia coli in Chickens.

Authors:  Mengjiao Guo; Congyue Zhang; Chengcheng Zhang; Xiaorong Zhang; Yantao Wu
Journal:  Front Microbiol       Date:  2021-06-01       Impact factor: 5.640

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