Related Experiment Video
Updated: May 12, 2026
29:13
Microbial Communities in Nature and Laboratory - Interview
Published on: May 28, 2007
A Brief Review of Microbial Omics: Methods and Perspectives.
Chao Yan1,2, Feng Zhang1, Cimin Long1
1Laboratory of Animal Nutritional Physiology and Metabolic Process, Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.
Methods in Molecular Biology (Clifton, N.J.)
|May 10, 2026
Summary
Microbial multi-omics integrates genomics, transcriptomics, proteomics, and metabolomics for deeper insights. Single-cell approaches and AI tools enhance understanding of microbial communities and their functions.
Area of Science:
- Microbiology
- Systems Biology
- Bioinformatics
Background:
- Microbial omics has evolved from single-gene studies to integrated multi-omics frameworks.
- Understanding microbial complexity and function requires holistic approaches.
Purpose of the Study:
- To review core microbial omics technologies and their bioinformatic strategies.
- To highlight single-cell omics and AI's role in microbial research.
Main Methods:
- Systematic review of genomics, transcriptomics, proteomics, and metabolomics.
- Discussion of single-cell microbial omics methodologies.
- Exploration of AI applications in omics data analysis.
Main Results:
- Integrated multi-omics provides comprehensive microbial insights.
- Single-cell omics reveals hidden heterogeneity and rare taxa.
- AI tools enhance data interpretation and predictive modeling.
Conclusions:
- Microbial omics, especially single-cell and AI-driven approaches, are transforming microbiome research.
- Comparing omics layers and single-cell methods is crucial for optimal application.
- Future directions involve addressing technical challenges for broader translation.
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