Broiler Chicken Cecal Microbiome and Poultry Farming Productivity: A Meta-Analysis.
Dmitry G DeryabinChristina LazebnikLudmila VlasenkoIlshat KarimovDianna B KosyanAlexander ZatevalovGalimzhan K DuskaevPublished in: Microorganisms (2024)
The cecal microbial community plays an important role in chicken growth and development via effective feed conversion and essential metabolite production. The aim of this study was to define the microbial community's variants in chickens' ceca and to explore the most significant association between the microbiome compositions and poultry farming productivity. The meta-analysis included original data from 8 control broiler chicken groups fed with a standard basic diet and 32 experimental groups supplemented with various feed additives. Standard Illumina 16S-RNA gene sequencing technology was used to characterize the chicken cecal microbiome. Zootechnical data sets integrated with the European Production Effectiveness Factor (EPEF) were collected. Analysis of the bacterial taxa abundance and co-occurrence in chicken cecal microbiomes revealed two alternative patterns: Bacteroidota -dominated with decreased alpha biodiversity; and Bacillota -enriched, which included the Actinomycetota , Cyanobacteriota and Thermodesulfobacteriota phyla members, with increased biodiversity indices. Bacillota -enriched microbiome groups showed elevated total feed intake (especially due to the starter feed intake) and final body weight, and high EPEF values, while Bacteroidota -dominated microbiomes were negatively associated with poultry farming productivity. The meta-analysis results lay the basis for the development of chicken growth-promoting feed supplementations, aimed at the stimulation of beneficial and inhibition of harmful bacterial patterns, where relevant metagenomic data can be a tool for their control and selection.
Keyphrases
- microbial community
- antibiotic resistance genes
- systematic review
- body weight
- climate change
- electronic health record
- heat stress
- meta analyses
- randomized controlled trial
- copy number
- physical activity
- single cell
- machine learning
- wastewater treatment
- dna methylation
- gene expression
- body mass index
- data analysis
- genome wide
- nucleic acid
- high throughput sequencing