Succurro, Antonella ORCID: 0000-0003-0227-2803 and Ebenhoeh, Oliver ORCID: 0000-0002-7229-7398 (2018). Review and perspective on mathematical modeling of microbial ecosystems. Biochem. Soc. Trans., 46. S. 403 - 413. LONDON: PORTLAND PRESS LTD. ISSN 1470-8752

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Abstract

Understanding microbial ecosystems means unlocking the path toward a deeper knowledge of the fundamental mechanisms of life. Engineered microbial communities are also extremely relevant to tackling some of today's grand societal challenges. Advanced meta-omics experimental techniques provide crucial insights into microbial communities, but have been so far mostly used for descriptive, exploratory approaches to answer the initial 'who is there?' question. An ecosystem is a complex network of dynamic spatiotemporal interactions among organisms as well as between organisms and the environment. Mathematical models with their abstraction capability are essential to capture the underlying phenomena and connect the different scales at which these systems act. Differential equation models and constraint-based stoichiometric models are deterministic approaches that can successfully provide a macroscopic description of the outcome from microscopic behaviors. In this mini-review, we present classical and recent applications of these modeling methods and illustrate the potential of their integration. Indeed, approaches that can capture multiple scales are needed in order to understand emergent patterns in ecosystems and their dynamics regulated by different spatio-temporal phenomena. We finally discuss promising examples of methods proposing the integration of differential equations with constraint-based stoichiometric models and argue that more work is needed in this direction.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Succurro, AntonellaUNSPECIFIEDorcid.org/0000-0003-0227-2803UNSPECIFIED
Ebenhoeh, OliverUNSPECIFIEDorcid.org/0000-0002-7229-7398UNSPECIFIED
URN: urn:nbn:de:hbz:38-189213
DOI: 10.1042/BST20170265
Journal or Publication Title: Biochem. Soc. Trans.
Volume: 46
Page Range: S. 403 - 413
Date: 2018
Publisher: PORTLAND PRESS LTD
Place of Publication: LONDON
ISSN: 1470-8752
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
SCALE METABOLIC MODELS; FLUX BALANCE ANALYSIS; ESCHERICHIA-COLI; COMMUNITY; GROWTH; NETWORKS; DYNAMICS; PATTERNSMultiple languages
Biochemistry & Molecular BiologyMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/18921

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