微生物MASST:一个分类学知情的质谱测量搜索工具,用于微生物代谢学数据
Simone Zuffa1,2, Robin Schmid1,2, Anelize Bauermeister1,2,3
1Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.
Nature microbiology
|February 5, 2024
概括
microbeMASST有助于在非目标代谢学中识别微生物代谢物. 这种质谱仪 (MS) 工具将光谱与微生物生产者联系起来,增强对生态和健康中的微生物的理解.
科学领域:
- 微生物学 微生物学
- 代谢学 代谢学 代谢学
- 生物信息学是一种生物信息学.
背景情况:
- 不针对性代谢学经常面临微生物代谢物注释方面的挑战.
- 准确识别微生物代谢物对于理解它们的生态作用和对人类健康的影响至关重要.
研究的目的:
- 推出microbeMASST,这是一种用于微生物代谢物注释的新型质谱 (MS) 搜索工具.
- 为了使已知和未知的微生物代谢物及其生产生物的识别,使用MS/MS碎片化模式.
主要方法:
- 开发了microbeMASST,该数据库包含超过6万种微生物单一种植的数据库.
- 使用分类学信息的MS/MS光谱搜索来将代谢物与微生物来源联系起来.
- 在非目标代谢学工作流程中的应用.
主要成果:
- 已证明能够在全面的微生物代谢物数据库中搜索和注释MS/MS光谱.
- 能够直接将已识别的代谢物与它们的特定微生物生产者联系起来.
- 有助于识别微生物衍生的代谢产物,而无需事先了解生产生物体.
结论:
- microbeMASST显著改善了微生物代谢物的注释在非向的代谢学.
- 该工具增强了对微生物对各种生态系统和健康相关过程的贡献的理解.
- 促进发现新型微生物代谢物及其功能.
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