基因组
肠道菌群
生物
焦测序
人口
丰度(生态学)
微生物群
计算生物学
寄主(生物学)
操作分类学单元
微生物生态学
相对物种丰度
进化生物学
生物信息学
遗传学
生态学
动物
细菌
免疫学
基因
医学
环境卫生
16S核糖体RNA
作者
Rahul Shubhra Mandal,Sudipto Saha,Santasabuj Das
标识
DOI:10.1016/j.gpb.2015.02.005
摘要
Gut microbiota of higher vertebrates is host-specific. The number and diversity of the organisms residing within the gut ecosystem are defined by physiological and environmental factors, such as host genotype, habitat, and diet. Recently, culture-independent sequencing techniques have added a new dimension to the study of gut microbiota and the challenge to analyze the large volume of sequencing data is increasingly addressed by the development of novel computational tools and methods. Interestingly, gut microbiota maintains a constant relative abundance at operational taxonomic unit (OTU) levels and altered bacterial abundance has been associated with complex diseases such as symptomatic atherosclerosis, type 2 diabetes, obesity, and colorectal cancer. Therefore, the study of gut microbial population has emerged as an important field of research in order to ultimately achieve better health. In addition, there is a spontaneous, non-linear, and dynamic interaction among different bacterial species residing in the gut. Thus, predicting the influence of perturbed microbe-microbe interaction network on health can aid in developing novel therapeutics. Here, we summarize the population abundance of gut microbiota and its variation in different clinical states, computational tools available to analyze the pyrosequencing data, and gut microbe-microbe interaction networks.
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