Review on computer-assisted biosynthetic capacities elucidation to assess metabolic interactions and communication within microbial communities.

Zulfiqar M, Singh V, Steinbeck C, Sorokina M2024Review on computer-assisted biosynthetic capacities elucidation to assess metabolic interactions and communication within microbial communities. Crit Rev Microbiol , 1-40.

Abstract

Microbial communities thrive through interactions and communication, which are challenging to study as most microorganisms are not cultivable. To address this challenge, researchers focus on the extracellular space where communication events occur. Exometabolomics and interactome analysis provide insights into the molecules involved in communication and the dynamics of their interactions. Advances in sequencing technologies and computational methods enable the reconstruction of taxonomic and functional profiles of microbial communities using high-throughput multi-omics data. Network-based approaches, including community flux balance analysis, aim to model molecular interactions within and between communities. Despite these advances, challenges remain in computer-assisted biosynthetic capacities elucidation, requiring continued innovation and collaboration among diverse scientists. This review provides insights into the current state and future directions of computer-assisted biosynthetic capacities elucidation in studying microbial communities.

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Doctoral researchers

Dr. rer. nat. Mahnoor Zulfiqar

Integrative analysis of metabolomics and transcriptomic data

Friedrich Schiller University

Analytical Chemistry - Cheminformatics and Chemometrics

Friedrich Schiller Universtität Jena Balance of the Microverse

Funded by

Freistaat Thüringen. Ministerium für Bildung, Wissenschaft und Kultur. Carl Zeiss Stiftung Deutsche Forschungsgemeinschaft