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Updated: Sep 19, 2025

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

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整合元转录组学数据提高了微生物社区代谢模型的预测能力

Yunli Eric Hsieh1,2,3, Kshitij Tandon3, Heroen Verbruggen3,4

  • 1Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany.

The ISME journal
|May 31, 2025
PubMed
概括

这项研究引入了一种新的方法,即将转录基因组集成到社区GEM中 (IMIC),以准确预测微生物生长和相互作用. IMIC使用基因表达数据,为生态系统研究建立更好的微生物群落模型.

关键词:
社区代谢建模社区代谢建模数据整合数据集成.代谢相互作用 代谢相互作用转换组学 转换组学 转换组学微生物社区的微生物社区.

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相关概念视频

Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation.
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