Revealing metabolic mechanisms of interaction in the anaerobic digestion microbiome by flux balance analysis.

Anaerobic digestion/flux balance analysis/genome-scale metabolic models/microbial interactions/renewable energy

Journal

Metabolic engineering
ISSN: 1096-7184
Titre abrégé: Metab Eng
Pays: Belgium
ID NLM: 9815657

Informations de publication

Date de publication:
11 2020
Historique:
received: 05 03 2020
revised: 03 08 2020
accepted: 24 08 2020
pubmed: 10 9 2020
medline: 25 11 2021
entrez: 9 9 2020
Statut: ppublish

Résumé

Anaerobic digestion is a key biological process for renewable energy, yet the mechanistic knowledge on its hidden microbial dynamics is still limited. The present work charted the interaction network in the anaerobic digestion microbiome via the full characterization of pairwise interactions and the associated metabolite exchanges. To this goal, a novel collection of 836 genome-scale metabolic models was built to represent the functional capabilities of bacteria and archaea species derived from genome-centric metagenomics. Dominant microbes were shown to prefer mutualistic, parasitic and commensalistic interactions over neutralism, amensalism and competition, and are more likely to behave as metabolite importers and profiteers of the coexistence. Additionally, external hydrogen injection positively influences microbiome dynamics by promoting commensalism over amensalism. Finally, exchanges of glucogenic amino acids were shown to overcome auxotrophies caused by an incomplete tricarboxylic acid cycle. Our novel strategy predicted the most favourable growth conditions for the microbes, overall suggesting strategies to increasing the biogas production efficiency. In principle, this approach could also be applied to microbial populations of biomedical importance, such as the gut microbiome, to allow a broad inspection of the microbial interplays.

Identifiants

pubmed: 32905861
pii: S1096-7176(20)30132-4
doi: 10.1016/j.ymben.2020.08.013
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

138-149

Informations de copyright

Copyright © 2020 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Arianna Basile (A)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.

Stefano Campanaro (S)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy; CRIBI Biotechnology Center, University of Padova, 35131, Padua, Italy. Electronic address: stefano.campanaro@unipd.it.

Adam Kovalovszki (A)

Department of Environmental Engineering, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.

Guido Zampieri (G)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy; Department of Computer Science and Information Systems, Teesside University, Middlesbrough, United Kingdom.

Alessandro Rossi (A)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.

Irini Angelidaki (I)

Department of Environmental Engineering, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.

Giorgio Valle (G)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.

Laura Treu (L)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padua, Italy.

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Classifications MeSH