生态折叠数据库 (EcoFoldDB):以蛋白质结构为指导,在元基因组尺度上对生态相关的微生物特征进行功能分析
Timothy M Ghaly1,2, Vaheesan Rajabal1,2, Dylan Russell1,2
1School of Natural Sciences, Macquarie University, Sydney, Australia.
Environmental microbiology
|September 17, 2025
概括
EcoFoldDB使用蛋白质结构来改善微生物基因功能注释在元基因组学中. 这种新方法增强了从环境DNA中发现微生物特征和生态见解的发现.
科学领域:
- 微生物生态学 微生物生态学
- 结构生物信息学 结构生物信息学
- 转基因组学是指转基因组学.
背景情况:
- 微生物群落对于生态系统功能至关重要.
- 大基因组测序揭示了微生物社区的结构和功能.
- 目前的方法由于敏感性有限,难以注释不同的微生物基因.
研究的目的:
- 引入EcoFoldDB,一个微生物蛋白质结构的生态特征数据库.
- 为了介绍EcoFoldDB-annotate,一个快速结构同质性搜索的管道.
- 使用蛋白质结构来增强元基因组的功能概况.
主要方法:
- 杆 Foldseek 和 ProstT5 蛋白质语言模型用于结构同质性搜索.
- 开发了生态相关微生物特征的EcoFoldDB数据库.
- 应用EcoFoldDB-注释对来自8000个土壤元基因组的3200万种蛋白质.
主要成果:
- 基于EcoFoldDB的注释显示出比基于序列的方法更高的灵敏度和精度.
- 成功解决了循环通路的遗传学分离问题.
- 确定了具有促进植物生长的特征的新型细菌种群.
结论:
- EcoFoldDB及其注释管道显著提升了元基因组功能分析.
- 从环境基因组中获得更深入的生态洞察力.
- 加快微生物生态学和地球健康方面的发现.
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