Reference : Using metabolic networks to resolve ecological properties of microbiomes
Scientific journals : Article
Life sciences : Microbiology
http://hdl.handle.net/10993/38654
Using metabolic networks to resolve ecological properties of microbiomes
English
Muller, Emilie [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Faust, Karoline []
Widder, Stefanie []
Herold, Malte [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Martinez Arbas, Susana mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Wilmes, Paul mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
2018
Current Opinion in Systems Biology
Elsevier
Yes
International
2452-3100
[en] Ecological interactions ; Keystone gene ; Function and species ; Metabolic network and model ; Microbial systems ecology ; Niche breadth
[en] The systematic collection, integration and modelling of high-throughput molecular data (multi-omics) allows the detailed characterisation of microbiomes in situ. Through metabolic trait inference, metabolic network reconstruction and modelling, we are now able to define ecological interactions based on metabolic exchanges, identify keystone genes, functions and species, and resolve ecological niches of constituent microbial populations. The resulting knowledge provides detailed information on ecosystem functioning. However, as microbial communities are dynamic in nature the field needs to move towards the integration of time- and space-resolved multi-omic data along with detailed environmental information to fully harness the power of community- and population-level metabolic network modelling. Such approaches will be fundamental for future targeted management strategies with wide-ranging applications in biotechnology and biomedicine.
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/38654
FnR ; FNR10404839 > Paul Wilmes > LEGeLiS (for Linking Environment - Genome - Lifestyle Strategy) > Linking environmental condition to lifestyle strategies and to population-level genetic heterogeneity > 01/12/2015 > 14/09/2018 > 2015

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