使用MicrobiomeNet解释微生物群签名
Yao Lu1, Khoi Nguyen Nguyen1, Jianguo Xia1,2
1Department of Microbiology and Immunology, McGill University, Montreal, Canada.
Current protocols
|February 28, 2026
概括
微生物组网通过基因组规模代谢模型 (GEMs) 提供了对微生物群落的功能性见解. 本指南详细介绍了如何使用该平台来分析微生物代谢和相互作用,用于研究.
科学领域:
- 微生物学 微生物学
- 代谢工程是代谢工程.
- 生物信息学是一种生物信息学.
背景情况:
- 人类微生物组在健康和疾病中起着至关重要的作用.
- 了解微生物的代谢功能对于微生物组研究至关重要.
- 现有的工具往往缺乏对微生物组数据的全面功能分析能力.
研究的目的:
- 为使用微生物组功能分析的网络平台MicrobiomeNet提供实用指南.
- 展示如何利用基因组规模的代谢模型 (GEMs) 来了解微生物群落.
- 为了使研究人员能够探索微生物的代谢能力和相互作用.
主要方法:
- 使用MicrobiomeNet的12400个GEM和600万个微生物签名的广泛数据库.
- 执行对微生物,代谢物,基因或酶的搜索.
- 应用逐步的协议来表征代谢概况和关联.
- 分析特定的途径,如碳水化合物利用和脱氧醇酸生产.
主要成果:
- 展示如何表征单个微生物的代谢概况.
- 阐明发现微生物协会内的代谢相互作用的方法.
- 分析特定微生物关系和代谢途径的实用例子.
- 成功识别了可能产生脱氧醇酸的肠道微生物.
结论:
- 微生物组网是功能微生物组分析的宝贵资源.
- 该平台促进了使用GEM的微生物代谢和相互作用的探索.
- 这本指南使研究人员能够对复杂的微生物生态系统获得更深入的功能洞察力.
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