five

Longitudinal profiling of non-disease individuals. Microbiota data.. S3WP_microbiome

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJEB38984
下载链接
链接失效反馈
官方服务:
资源简介:
In order to use the microbiota as potential biomarker the definition of a normal microbiota with measurable characteristics needs to be established. Here we longitudinally profiled the fecal microbiota of a normal Swedish population with no clinical evidence of disease using both shotgun metagenomics and 16S rRNA gene sequencing to determine compositional and functional variation over the course of one year. Our analyses confirmed that inter-individual differences are larger than intra-individual variation for the composition of gut microbiota, and we identified gene richness and abundance of Faecalibacteriusm prausnitzii, and Bifidobacterium species as stabilizing factors of the gut microbiota in this population. However, the abundance of different microbial species exhibited different levels of intra-individual variability, which was largest for facultative anaerobes and oxygen tolerant bacteria. These bacteria varied extensively in abundance also in individuals with high compositional stability. Therefore, we conclude that repeated sampling is required to account for the normal intra-individual variation of the gut microbiota and allow a more reliable quantification of microbial biomarkers and suggest that the concept of gut microbiota dysbiosis based on the expansion of rare taxa needs to be updated as these may bloom in normal individuals as well.
创建时间:
2022-01-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作