Spatiotemporal metabolic modeling of bacterial life in complex habitats.

Bacteria / genetics Diffusion Ecosystem Metabolic Networks and Pathways

Journal

Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492

Informations de publication

Date de publication:
02 2021
Historique:
received: 25 08 2020
revised: 21 12 2020
accepted: 07 01 2021
pubmed: 26 1 2021
medline: 27 4 2021
entrez: 25 1 2021
Statut: ppublish

Résumé

The combination of genome-scale metabolic networks with spatially explicit representation of microbial habitats (spatiotemporal metabolic network modeling) paves the way to predict complex metabolic landscapes to a hitherto unparalleled detail, thus providing new insights into trophic interactions occurring at different scales. Placing detailed bacterial metabolism in realistic physical environment highlights the roles of physical barriers and diffusional bottlenecks on bacterial community interactions, structure and stability. We review recent advances in spatiotemporal metabolic network modeling using a few illustrative examples that highlight the immense potential of these novel approaches to interpret and design metabolic mediated interactions in structures (natural and engineered) environments.

Identifiants

DOI: 10.1016/j.copbio.2021.01.004 PMID: 33493977
pubmed: 33493977
pii: S0958-1669(21)00009-4
doi: 10.1016/j.copbio.2021.01.004
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-71

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Benedict Borer (B)

Department of Environmental Systems Science, ETH Zurich, Universitätstrasse 16, 8092 Zürich, Switzerland; The Department for Earth, Atmospheric and Planetary Science, MIT, Boston, MA, USA. Electronic address: bborer@mit.edu.

Dani Or (D)

Department of Environmental Systems Science, ETH Zurich, Universitätstrasse 16, 8092 Zürich, Switzerland; Div. of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.

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Classifications MeSH

questionsmedicales.fr › Bactéries › Spatiotemporal metabolic modeling of bacterial...
questionsmedicales.fr › Phénomènes chimiques › Diffusion › Spatiotemporal metabolic modeling of bacterial...
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Spatiotemporal metabolic modeling of bacterial...
questionsmedicales.fr › Métabolisme › Voies et réseaux métaboliques › Spatiotemporal metabolic modeling of bacterial...