Dynamic Changes in the Gut Microbiota and Metabolites during the Growth of Hainan Wenchang Chickens

厚壁菌 毛螺菌科 拟杆菌 生物 蛋白质细菌 肠道菌群 细菌 代谢组学 微生物代谢 微生物学 代谢组 食品科学 16S核糖体RNA 生物化学 遗传学 生物信息学
作者
Yingzhi He,Jie Li,Feifan Wang,Na Wei,Zhen Tan
出处
期刊:Animals [Multidisciplinary Digital Publishing Institute]
卷期号:13 (3): 348-348 被引量:1
标识
DOI:10.3390/ani13030348
摘要

Gut microbiota and their metabolites play important roles in animal growth by influencing the host's intake, storage, absorption, and utilization of nutrients. In addition to environmental factors, mainly diet, chicken breed and growth stage also affect changes in the gut microbiota. However, little research has been conducted on the development of gut microbiota and its metabolites in local chickens. In this study, the cecal microbiota and metabolites in different developmental stages of Hainan Wenchang chickens (a native breed of Bantam) were investigated using 16S rRNA sequencing and untargeted metabolomics. With aging, the structure of gut microbiota tended to be more stable. The relative proportions of dominant bacteria phyla Firmicutes, Bacteroidetes, and Proteobacteria showed stage changes with the development. With aging, gut microbiota and their metabolites may have structural and functional changes in response to nutrient metabolism and immune requirements in different physiological states. Several microbial and metabolic biomarkers with statistical differences were detected in different development stages. The bacteria that form networks with their significant related metabolites were different in various growth stages, including uncultured_bacterium_f_Ruminococcaceae, Ruminococcaceae_UCG-014, Faecalibacterium, uncultured_bacterium_o_Bacteroidales, and uncultured_bacterium_f_Lachnospiraceae. Partially differential bacteria were significantly correlated with short-chain fatty acids such as butyric acid. These findings may provide new insights into the physiological and molecular mechanisms of developmental changes of local chicken breeds, as well as resources for microbial and metabolic biomarker identification to improve growth efficiency.
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