Article (Scientific journals)
Using metabolic networks to resolve ecological properties of microbiomes
Muller, Emilie; Faust, Karoline; Widder, Stefanie et al.
2018In Current Opinion in Systems Biology
Peer reviewed
 

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Keywords :
Ecological interactions; Keystone gene; Function and species; Metabolic network and model; Microbial systems ecology; Niche breadth
Abstract :
[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.
Disciplines :
Microbiology
Author, co-author :
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 ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Wilmes, Paul ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
Using metabolic networks to resolve ecological properties of microbiomes
Publication date :
2018
Journal title :
Current Opinion in Systems Biology
ISSN :
2452-3100
Publisher :
Elsevier
Peer reviewed :
Peer reviewed
FnR Project :
FNR10404839 - Linking Environmental Condition To Lifestyle Strategies And To Population-level Genetic Heterogeneity, 2015 (01/12/2015-14/09/2018) - Paul Wilmes
Funders :
FNR - Fonds National de la Recherche [LU]
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