Revisão Acesso aberto Revisado por pares

Metabolic network modeling of microbial communities

2015; Wiley; Volume: 7; Issue: 5 Linguagem: Inglês

10.1002/wsbm.1308

ISSN

1939-5094

Autores

Matthew B. Biggs, Gregory L. Medlock, Glynis L. Kolling, Jason A. Papin,

Tópico(s)

Biofuel production and bioconversion

Resumo

Abstract Genome‐scale metabolic network reconstructions and constraint‐based analyses are powerful methods that have the potential to make functional predictions about microbial communities. Genome‐scale metabolic networks are used to characterize the metabolic functions of microbial communities via several techniques including species compartmentalization, separating species‐level and community‐level objectives, dynamic analysis, the ‘enzyme‐soup’ approach, multiscale modeling, and others. There are many challenges in the field, including a need for tools that accurately assign high‐level omics signals to individual community members, the need for improved automated network reconstruction methods, and novel algorithms for integrating omics data and engineering communities. As technologies and modeling frameworks improve, we expect that there will be corresponding advances in the fields of ecology, health science, and microbial community engineering. WIREs Syst Biol Med 2015, 7:317–334. doi: 10.1002/wsbm.1308 This article is categorized under: Analytical and Computational Methods > Computational Methods Biological Mechanisms > Metabolism

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