在药物扰乱的肠道微生物社区中,跨多omics层的一致性
Sander Wuyts1, Renato Alves1, Maria Zimmermann-Kogadeeva1
1European Molecular Biology Laboratory, Heidelberg, Germany.
Molecular systems biology
|July 24, 2023
概括
多omics分析揭示了药物如何影响肠道细菌. 不同的数据类型相互补充,提供了对微生物社区对干扰反应的全面视图.
科学领域:
- 微生物学 微生物学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 微生物组研究利用多组分析来了解微生物社区的反应.
- 这些研究中不同欧米克数据类型的一致性和互补作用需要进一步研究.
研究的目的:
- 综合地绘制合成人类肠道细菌群体对使用多个欧米克层的非抗生素药物的分子反应.
- 评估不同OMIC数据类型在描述微生物社区动态方面的一致性和互补性.
主要方法:
- 利用了五个omics层:16S rRNA基因分析,元基因组学,元转录组学,元蛋白组学和代谢组学.
- 将32种人类肠道细菌的合成社区暴露在三种非抗生素药物中.
- 分析了不同欧米克数据集中的物种丰度,功能变化和分子反应.
主要成果:
- 所有具有物种分辨率的omics方法都在估计相对物种丰度方面表现出很高的一致性.
- 不同的奥米克学方法为微生物群体内的功能变化提供了互补的见解.
- 观察到,普罗马зин可选择性地抑制Bacteroidota,其中metatranscriptomics和metaproteomics表明诱导的应激反应和代谢学表明寡糖类吸收减少.
结论:
- 多omics数据集对于揭示微生物群落对外部干扰的复杂分子反应是有价值的.
- 整合各种omics数据类型可以提高对药物对微生物生态系统影响的理解.
- 这项研究强调了结合不同奥米克学方法的力量,以全面了解微生物组功能.
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