Integrating multi-omics technologies to decipher microbiome functions.

Multi-omics integration has revealed complex microbial functions across diverse environments, with datasets encompassing genomic, transcriptomic, proteomic, and metabolomic data.

• Why it matters: Understanding microbiome functions is crucial for applications in health, environment, and engineering, but the complexity of multi-species communities challenges reproducibility and interpretability.
• What they did: The authors reviewed recent advances, identified key obstacles in data integration, and proposed a collaborative roadmap emphasizing standardized workflows, FAIR principles, and AI-driven approaches.
• The result: This work enables more reliable, scalable microbiome research, fostering reproducibility and opening pathways for innovative AI applications similar to AlphaFold in microbiome science.