Dataset Information

Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

ABSTRACT: BACKGROUND:The mammalian intestinal tract harbors diverse and dynamic microbial communities that play pivotal roles in host health, metabolism, immunity, and development. Average daily gain (ADG) is an important growth trait in meat rabbit industry. The effects of gut microbiota on ADG in meat rabbits are still unknown. RESULTS:In this study, we investigated the dynamic distribution of gut microbiota in commercial Ira rabbits from weaning to finishing and uncover the relationship between the microbiota and average daily gain (ADG) via 16S rRNA gene sequencing. The results indicated that the richness and diversity of gut microbiota significantly increased with age. Gut microbial structure was less variable among finishing rabbits than among weaning rabbits. The relative abundances of the dominant phyla Firmicutes, Bacteroidetes, Verrucomicrobia and Cyanobacteria, and the 15 predominant genera significantly varied with age. Metagenomic prediction analysis showed that both KOs and KEGG pathways related to the metabolism of monosaccharides and vitamins were enriched in the weaning rabbits, while those related to the metabolism of amino acids and polysaccharides were more abundant in the finishing rabbits. We identified 34 OTUs, 125 KOs, and 25 KEGG pathways that were significantly associated with ADG. OTUs annotation suggested that butyrate producing bacteria belong to the family Ruminococcaceae and Bacteroidales_S24-7_group were positively associated with ADG. Conversely, Eubacterium_coprostanoligenes_group, Christensenellaceae_R-7_group, and opportunistic pathogens were negatively associated with ADG. Both KOs and KEGG pathways correlated with the metabolism of vitamins, basic amino acids, and short chain fatty acids (SCFAs) showed positive correlations with ADG, while those correlated with aromatic amino acids metabolism and immune response exhibited negative correlations with ADG. In addition, our results suggested that 10.42% of the variation in weaning weight could be explained by the gut microbiome. CONCLUSIONS:Our findings give a glimpse into the dynamic shifts in gut microbiota of meat rabbits and provide a theoretical basis for gut microbiota modulation to improve ADG in the meat rabbit industry.

SUBMITTER: Fang S

PROVIDER: S-EPMC7227296 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

Fang Shaoming S Chen Xuan X Pan Jiahua J Chen Qiaohui Q Zhou Liwen L Wang Chongchong C Xiao Tianfang T Gan Qian Fu QF

BMC microbiology 20200514 1

<h4>Background</h4>The mammalian intestinal tract harbors diverse and dynamic microbial communities that play pivotal roles in host health, metabolism, immunity, and development. Average daily gain (ADG) is an important growth trait in meat rabbit industry. The effects of gut microbiota on ADG in meat rabbits are still unknown.<h4>Results</h4>In this study, we investigated the dynamic distribution of gut microbiota in commercial Ira rabbits from weaning to finishing and uncover the relationship ...[more]

PMID: 32410629

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Project description:Fully understanding the dynamic distribution of the gut microbiota in pigs is essential, as gut microorganisms play a fundamental role in physiological processes, immunity, and the metabolism of nutrients by the host. Here, we first summarize the characteristics and the dynamic shifts in the gut microbial community of pigs at different ages based on the results of 63 peer-review publications. Then a meta-analysis based on the sequences from 16 studies with accession numbers in the GenBank database is conducted to verify the characteristics of the gut microbiota in healthy pigs. A dynamic shift is confirmed in the gut microbiota of pigs at different ages and growth phases. In general, Bacteroides, Escherichia, Clostridium, Lactobacillus, Fusobacterium, and Prevotella are dominant in piglets before weaning, then Prevotella and Aneriacter shift to be the predominant genera with Fusobacterium, Lactobacillus, and Miscellaneous as comparative minors in postweaned pigs. A number of 19 bacterial genera, including Bacteroides, Prevotella, and Lactobacillus can be found in more than 90% of pigs and three enterotypes can be identified in all pigs at different ages, suggesting there is a "core" microbiota in the gut of healthy pigs, which can be a potential target for nutrition or health regulation. The "core" members benefit the growth and gut health of the host. These findings help to define an "optimal" gut microbial profile for assessing, or improving, the performance and health status of pigs at different growth stages. IMPORTANCE The ban on feed antibiotics by more and more countries, and the expected ban on ZnO in feed supplementation from 2022 in the EU, urge researchers and pig producers to search for new alternatives. One possible alternative is to use the so-called "next-generation probiotics (NGPs)" derived from gastrointestinal tract. In this paper, we reveal that a total of 19 "core" bacterial genera including Bacteroides, Prevotella, and Lactobacillus etc., can be found in more than 90% of healthy pigs across different ages. These identified genera may probably be the potential candidates of NGPs or the potential target of microflora regulation. Adding substrates preferred by these target microbes will help to increase the abundance of specific symbiotic species and benefit the gut health of pigs. Further research targeting these "core" microbes and the dynamic distribution of microbiota, as well as the related function is of great importance in swine production.

Dataset Information

Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

Publications

Dynamic distribution of gut microbiota in meat rabbits at different growth stages and relationship with average daily gain (ADG).

Similar Datasets

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