生物
肠道菌群
微生物群
背景(考古学)
肠道微生物群
疾病
基因组
生物信息学
遗传学
免疫学
病理
基因
医学
古生物学
作者
Diana Campos-Iglesias,José M. P. Freije,Carlos López‐Otín
标识
DOI:10.1016/bs.mcb.2022.12.007
摘要
The gut microbiota is a complex community of different microbial species that influence many aspects of health. Consequently, shifts in the composition of gut microbiome have been proposed to exert negative effects on the host physiology, leading to the pathogenesis of various age-related disorders, including cardiovascular and neurological diseases, type 2 diabetes, obesity, non-alcoholic liver disease, and other pathological conditions. Thus, understanding how the gut microbiota influences the aging-related decline is particularly topical. Advances in next-generation sequencing techniques, together with mechanistic experiments in animal models, have provided substantial improvements in microbiome analysis. However, standardization and best practices are needed to limit experimental variation between different studies. Here, we detail a simple method for microbiota composition analysis in mouse fecal samples using 16S rRNA next-generation sequencing.
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