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Journal ArticleDOI

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

TLDR
The metagenomic profile of fecal bacteria in birds with high and low feed conversion ratio (FCR) was investigated to identify microbial community linked to low and high FCR by employing high throughput pyrosequencing of 16S rRNA genomic targets.
Abstract
The performance of birds appears to vary among the flock of growing broilers which may in part be due to variation in their gut microbiota. In the view of poultry industry, it is desirable to minimise such variation. We investigated metagenomic profile of fecal bacteria in birds with high and low feed conversion ratio (FCR) to identify microbial community linked to low and high FCR by employing high throughput pyrosequencing of 16S rRNA genomic targets. Therefore feeding trial was investigated in order to identify fecal bacteria consistently linked with better feed conversion ratio in bird performance as measured by body weight gain. High-throughput 16S rRNA gene based pyrosequencing was used to provide a comparative analysis of fecal microbial diversity. The fecal microbial community of birds was predominated by Proteobacteria (48.04 % in high FCR and 49.98 % in low FCR), Firmicutes (26.17 % in high FCR and 36.23 % in low FCR), Bacteroidetes (18.62 % in high FCR and 11.66 % in low FCR), as well as unclassified bacteria (15.77 % in high FCR and 14.29 % in low FCR), suggesting that a large portion of fecal microbiota is novel and could be involved in currently unknown functions. The most prevalent bacterial classes in high FCR and low FCR were Gammaproteobacteria, Clostridia and Bacteroidia. However in low FCR birds Phascolarctobacterium, Faecalibacterium and Clostridium predominated among the Clostridia. In FCR comparison of fecal bacteria, about 36 genera were differentially abundant between high and low FCR birds. This information could be used to formulate effective strategies to improve feed efficiency and feed formulation for optimal gut health.

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Citations
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Journal ArticleDOI

Deciphering chicken gut microbial dynamics based on high-throughput 16S rRNA metagenomics analyses

TL;DR: The caeca microbial communities were more diverse in comparison to ilea and caeca, and the main functional differences between the two sites were found to be related to nutrient absorption and bacterial colonization.
Journal ArticleDOI

Gut metagenomic analysis reveals prominent roles of Lactobacillus and cecal microbiota in chicken feed efficiency.

TL;DR: The results indicated the prominent role of cecal microbiota in theFeed efficiency of chickens and suggested plausible uses of Lactobacillus to improve the feed efficiency of host.
Journal ArticleDOI

Microbiota, Gut Health and Chicken Productivity: What Is the Connection?

TL;DR: This review compiles information about the main factors that shape the process of gut microbiota acquisition and maturation, their interactions with chicken immune homeostasis, and the outcome of these interactions on intestinal health and productivity.
Journal ArticleDOI

Current Perspectives of the Chicken Gastrointestinal Tract and Its Microbiome

TL;DR: Use of multi-omics approaches may enhance research related to chicken production, animal and also public health and combinations with other disciplines such as genomics, immunology and physiology may have the potential to elucidate the definition of a “healthy” gut microbiota.
References
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Journal ArticleDOI

Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

TL;DR: The RDP Classifier can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes, and the majority of the classification errors appear to be due to anomalies in the current taxonomies.
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An obesity-associated gut microbiome with increased capacity for energy harvest

TL;DR: It is demonstrated through metagenomic and biochemical analyses that changes in the relative abundance of the Bacteroidetes and Firmicutes affect the metabolic potential of the mouse gut microbiota and indicates that the obese microbiome has an increased capacity to harvest energy from the diet.
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Human gut microbiota in obesity and after gastric bypass

TL;DR: The coexistence of H2-producing bacteria with relatively high numbers of H1-utilizing methanogenic Archaea in the gastrointestinal tract of obese individuals leads to the hypothesis that interspecies H2 transfer between bacterial and archaeal species is an important mechanism for increasing energy uptake by the human large intestine in obese persons.
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Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors

TL;DR: Factors that affect microbiota composition in a large mouse advanced intercross line originating from a cross between C57BL/6J and an ICR-derived outbred line (HR) are examined, providing clear evidence for the importance of host genetic control in shaping individual microbiome diversity in mammals.
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Diversity and Succession of the Intestinal Bacterial Community of the Maturing Broiler Chicken

TL;DR: The diversity of bacterial floras in the ilea and ceca of chickens that were fed a vegetarian corn-soy broiler diet devoid of feed additives was examined by analysis of 1,230 partial 16S rRNA gene sequences, suggesting that each region developed its own unique bacterial community as the bird matured.
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