Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains

Acetobacter species play an import role during cocoa fermentation. However, Acetobacter ghanensis and Acetobacter senegalensis are outcompeted during fermentation of the cocoa pulp-bean mass, whereas Acetobacter pasteurianus prevails. In this paper, an in silico approach aimed at delivering some ins...

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Main Authors: Rudy Pelicaen, Stefan Weckx, Didier Gonze, Luc De Vuyst
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.1060160/full
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author Rudy Pelicaen
Rudy Pelicaen
Stefan Weckx
Stefan Weckx
Didier Gonze
Didier Gonze
Luc De Vuyst
author_facet Rudy Pelicaen
Rudy Pelicaen
Stefan Weckx
Stefan Weckx
Didier Gonze
Didier Gonze
Luc De Vuyst
author_sort Rudy Pelicaen
collection DOAJ
description Acetobacter species play an import role during cocoa fermentation. However, Acetobacter ghanensis and Acetobacter senegalensis are outcompeted during fermentation of the cocoa pulp-bean mass, whereas Acetobacter pasteurianus prevails. In this paper, an in silico approach aimed at delivering some insights into the possible metabolic adaptations of A. ghanensis LMG 23848T and A. senegalensis 108B, two candidate starter culture strains for cocoa fermentation processes, by reconstructing genome-scale metabolic models (GEMs). Therefore, genome sequence data of a selection of strains of Acetobacter species were used to perform a comparative genomic analysis. Combining the predicted orthologous groups of protein-encoding genes from the Acetobacter genomes with gene-reaction rules of GEMs from two reference bacteria, namely a previously manually curated model of A. pasteurianus 386B (iAp386B454) and two manually curated models of Escherichia coli (EcoCyc and iJO1366), allowed to predict the set of reactions present in A. ghanensis LMG 23848T and A. senegalensis 108B. The predicted metabolic network was manually curated using genome re-annotation data, followed by the reconstruction of species-specific GEMs. This approach additionally revealed possible differences concerning the carbon core metabolism and redox metabolism among Acetobacter species, pointing to a hitherto unexplored metabolic diversity. More specifically, the presence or absence of reactions related to citrate catabolism and the glyoxylate cycle for assimilation of C2 compounds provided not only new insights into cocoa fermentation but also interesting guidelines for future research. In general, the A. ghanensis LMG 23848T and A. senegalensis 108B GEMs, reconstructed in a semi-automated way, provided a proof-of-concept toward accelerated formation of GEMs of candidate functional starter cultures for food fermentation processes.
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spelling doaj.art-966f3af403bf45b2970185b9e4027ec42022-12-22T03:47:23ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-11-011310.3389/fmicb.2022.10601601060160Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strainsRudy Pelicaen0Rudy Pelicaen1Stefan Weckx2Stefan Weckx3Didier Gonze4Didier Gonze5Luc De Vuyst6Research Group of Industrial Microbiology and Food Biotechnology, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, BelgiumULB-VUB Interuniversity Institute of Bioinformatics in Brussels, Brussels, BelgiumResearch Group of Industrial Microbiology and Food Biotechnology, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, BelgiumULB-VUB Interuniversity Institute of Bioinformatics in Brussels, Brussels, BelgiumULB-VUB Interuniversity Institute of Bioinformatics in Brussels, Brussels, BelgiumUnité de Chronobiologie Théorique, Service de Chimie Physique, Faculté des Sciences, Université libre de Bruxelles, Brussels, BelgiumResearch Group of Industrial Microbiology and Food Biotechnology, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, BelgiumAcetobacter species play an import role during cocoa fermentation. However, Acetobacter ghanensis and Acetobacter senegalensis are outcompeted during fermentation of the cocoa pulp-bean mass, whereas Acetobacter pasteurianus prevails. In this paper, an in silico approach aimed at delivering some insights into the possible metabolic adaptations of A. ghanensis LMG 23848T and A. senegalensis 108B, two candidate starter culture strains for cocoa fermentation processes, by reconstructing genome-scale metabolic models (GEMs). Therefore, genome sequence data of a selection of strains of Acetobacter species were used to perform a comparative genomic analysis. Combining the predicted orthologous groups of protein-encoding genes from the Acetobacter genomes with gene-reaction rules of GEMs from two reference bacteria, namely a previously manually curated model of A. pasteurianus 386B (iAp386B454) and two manually curated models of Escherichia coli (EcoCyc and iJO1366), allowed to predict the set of reactions present in A. ghanensis LMG 23848T and A. senegalensis 108B. The predicted metabolic network was manually curated using genome re-annotation data, followed by the reconstruction of species-specific GEMs. This approach additionally revealed possible differences concerning the carbon core metabolism and redox metabolism among Acetobacter species, pointing to a hitherto unexplored metabolic diversity. More specifically, the presence or absence of reactions related to citrate catabolism and the glyoxylate cycle for assimilation of C2 compounds provided not only new insights into cocoa fermentation but also interesting guidelines for future research. In general, the A. ghanensis LMG 23848T and A. senegalensis 108B GEMs, reconstructed in a semi-automated way, provided a proof-of-concept toward accelerated formation of GEMs of candidate functional starter cultures for food fermentation processes.https://www.frontiersin.org/articles/10.3389/fmicb.2022.1060160/fullcocoa fermentationAcetobacter metabolismcomparative genomicsgenome-scale metabolic modellingflux balance analysis
spellingShingle Rudy Pelicaen
Rudy Pelicaen
Stefan Weckx
Stefan Weckx
Didier Gonze
Didier Gonze
Luc De Vuyst
Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains
Frontiers in Microbiology
cocoa fermentation
Acetobacter metabolism
comparative genomics
genome-scale metabolic modelling
flux balance analysis
title Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains
title_full Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains
title_fullStr Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains
title_full_unstemmed Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains
title_short Application of comparative genomics of Acetobacter species facilitates genome-scale metabolic reconstruction of the Acetobacter ghanensis LMG 23848T and Acetobacter senegalensis 108B cocoa strains
title_sort application of comparative genomics of acetobacter species facilitates genome scale metabolic reconstruction of the acetobacter ghanensis lmg 23848t and acetobacter senegalensis 108b cocoa strains
topic cocoa fermentation
Acetobacter metabolism
comparative genomics
genome-scale metabolic modelling
flux balance analysis
url https://www.frontiersin.org/articles/10.3389/fmicb.2022.1060160/full
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