Microbial communities are near universally present in nature. A wealth of meta-omics data has been gathered from numerous ecosystems, such as the human gut, ocean or soil. Constraint-based reconstruction and analysis is a valuable tool for the contextualisation of meta-omics data and allows for the mechanistic prediction of metabolic fluxes. Advances in genome-scale reconstruction and multispecies modelling tools have enabled the construction and interrogation of constraint-based multispecies models on the microbiome scale spanning hundreds of organisms. Here, we give a comprehensive overview of the areas of application for these multiscale, strain- and molecule-resolved multispecies models, and discuss key works, in which computational modelling yielded novel biological knowledge. We show that constraint-based microbiome modelling can complement experimental approaches and has valuable applications spanning from ecology, human health, industry to environmental conservation.

Heinken, A., Basile, A., Thiele, I. (2021). Advances in constraint-based modelling of microbial communities. CURRENT OPINION IN SYSTEMS BIOLOGY, 27 [10.1016/j.coisb.2021.05.007].

Advances in constraint-based modelling of microbial communities

Basile A.;
2021-01-01

Abstract

Microbial communities are near universally present in nature. A wealth of meta-omics data has been gathered from numerous ecosystems, such as the human gut, ocean or soil. Constraint-based reconstruction and analysis is a valuable tool for the contextualisation of meta-omics data and allows for the mechanistic prediction of metabolic fluxes. Advances in genome-scale reconstruction and multispecies modelling tools have enabled the construction and interrogation of constraint-based multispecies models on the microbiome scale spanning hundreds of organisms. Here, we give a comprehensive overview of the areas of application for these multiscale, strain- and molecule-resolved multispecies models, and discuss key works, in which computational modelling yielded novel biological knowledge. We show that constraint-based microbiome modelling can complement experimental approaches and has valuable applications spanning from ecology, human health, industry to environmental conservation.
2021
Heinken, A., Basile, A., Thiele, I. (2021). Advances in constraint-based modelling of microbial communities. CURRENT OPINION IN SYSTEMS BIOLOGY, 27 [10.1016/j.coisb.2021.05.007].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/487387
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