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.

BackgroundThe caecal microbiota plays a key role in chicken health and performance, influencing digestion and absorption of nutrients, and contributing to defence against colonisation by invading pathogens. Measures of productivity and resistance to pathogen colonisation are directly influenced by chicken genotype, but host driven variation in microbiome structure is also likely to exert a considerable indirect influence.MethodsHere, we define the caecal microbiome of indigenous Indian Aseel and Kadaknath chicken breeds and compare them with the global commercial broiler Cobb400 and Ross 308 lines using 16S rDNA V3-V4 hypervariable amplicon sequencing.ResultsEach caecal microbiome was dominated by the genera Bacteroides, unclassified bacteria, unclassified Clostridiales, Clostridium, Alistipes, Faecalibacterium, Eubacterium and Blautia. Geographic location (a measure recognised to include variation in environmental and climatic factors, but also likely to feature varied management practices) and chicken line/breed were both found to exert significant impacts (p < 0.05) on caecal microbiome composition. Linear discriminant analysis effect size (LEfSe) revealed 42 breed-specific biomarkers in the chicken lines reared under controlled conditions at two different locations.ConclusionChicken breed-specific variation in bacterial occurrence, correlation between genera and clustering of operational taxonomic units indicate scope for quantitative genetic analysis and the possibility of selective breeding of chickens for defined enteric microbiota.Electronic supplementary materialThe online version of this article (10.1186/s40168-018-0501-9) contains supplementary material, which is available to authorized users.

Individual weight gain in broiler growers appears to vary, which may in part be due to variation in their gut microbiota. In this paper we analyse the fecal microbiota of low and high feed conversion ratio (FCR) broilers. After shotgun sequencing of the fecal microbiome, we used the SEED database to identify the microbial diversity and metabolic potential in low and high FCR birds. The domain-level breakdown of our samples was bacteria (>95 %), eukaryotes (>2 %), archaea (>0.2 %), and viruses (>0.2 %). At the phylum level, Proteobacteria (78.83 % in low and 52.04 % in high FCR), Firmicutes (11.97 % in low and 27.53 % in high FCR) and Bacteroidetes (7.10 % in low FCR and 17.53 % in high FCR) predominated in the fecal microbial community. Poultry fecal metagenomes revealed the sequences related to 33 genera in both low and high FCR with significantly different proportion. Functional analysis revealed that genes for the metabolism of carbohydrates, amino acids and derivatives and protein metabolism were most abundant in SEED subsystem in both samples. Genes associated with stress, virulence, cell wall and cell capsule were also abundant. Indeed, genes associated with sulphur assimilation, flagellum and flagellar motility were over represented in low FCR birds. This information could help in developing strategies to improve feed efficiency and feed formulation for broiler chickens.

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Aim: To gain a greater understanding of the ecology and metabolic potential of the rumen microbiome with the changes in the animal diet. Methods: Diet composed of varying proportion of green and dry roughages along with grains was given to 8 Mehsani buffaloes, and rumen metagenome was sketched using shotgun semiconductor sequencing. Results: In the present study, the Bacteroidetes were found to be dominant at the phyla level and Prevotella at the genus level. The ratio of Firmicutes to Bacteroidetes was found to be higher in the solid fraction as compared to the liquid fraction. In the solid fraction of the dry roughage group, the significant increment (p < 0.05) in Bacteroidetes abundance was observed with increment of roughage concentration. At the genus level, Clostridium significantly increased with the increment in roughage concentration. A comparison of glycoside hydrolase and cellulosome functional genes revealed more glycoside hydrolase 3 encoding genes with higher fiber diet and significant difference in carbohydrate-active enzymes family composition between green and dry roughage groups of the liquid fraction. Conclusion: The present study provides a base to understand the modulating behavior of microbiota which can be manipulated to improve livestock nutrient utilization efficiency and for targeting the efficient catabolism of complex carbohydrate molecules as well.

The Requirement Engineering (RE) is a systemic and integrated process of eliciting, elaborating, negotiating, prioritizing, specifying, validating and managing the requirements of a system. The detailed and agreed requirements are documented and specified to serve as the basis for further system development activities. The software industry has moved from traditional software development method to service oriented software development. While many researchers and practitioners have observed issues and challenges in Requirement Engineering phase specific to a software method, very little attention has been given to investigate diversity of issues and challenges of RE in different software development methods under one umbrella. This paper tries to review significant issues and challenges of RE from traditional software development method to recent service oriented software development method. The study unveils that there is a wide scope for developing new approaches and techniques in requirement engineering to resolve problems observed in various SE methods. The review discussion reveals the need of standardization and automation of RE process especially for Service oriented software development.

Buffalo rumen microbiome experiences a variety of diet stress and represents reservoir of Dormancy and Sporulation genes. However, the information on genomic responses to such conditions is very limited. The Ion Torrent PGM next generation sequencing technology was used to characterize general microbial diversity and the repertoire of microbial genes present, including genes associated with Dormancy and Sporulation in Mehsani buffalo rumen metagenome. The research findings revealed the abundance of bacteria at the domain level and presence of Dormancy and Sporulation genes which were predominantly associated with the Clostridia and Bacilli taxa belonging to the phyla Firmicutes. Genes associated with Sporulation cluster and Sporulation orphans were increased from 50% to 100% roughage treatment, thereby promoting sporulation all along the treatments. The spore germination is observed to be the highest in the 75% roughage treatment both in the liquid and solid rumen fraction samples with respect to the decrease in the values of the genes associated with spore core dehydration, thereby facilitating spore core hydration which is necessary for spore germination.

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