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Review on computer-assisted biosynthetic capacities elucidation to assess metabolic interactions and communication within microbial communities.
Zulfiqar, Mahnoor; Singh, Vinay; Steinbeck, Christoph; Sorokina, Maria.
Afiliação
  • Zulfiqar M; Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany.
  • Singh V; Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.
  • Steinbeck C; Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany.
  • Sorokina M; Institute for Inorganic and Analytical Chemistry, Friedrich Schiller University, Jena, Germany.
Crit Rev Microbiol ; : 1-40, 2024 Jan 25.
Article em En | MEDLINE | ID: mdl-38270170
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.
Computer-assisted biosynthetic capacities elucidation accelerates our ability to interpret microbial interactions, allowing us to understand better and establish a balance within ecosystems.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Crit Rev Microbiol Assunto da revista: MICROBIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Crit Rev Microbiol Assunto da revista: MICROBIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha