Literature DB >> 23851099

Core fluxome and metafluxome of lactic acid bacteria under simulated cocoa pulp fermentation conditions.

Philipp Adler1, Christoph Josef Bolten, Katrin Dohnt, Carl Erik Hansen, Christoph Wittmann.   

Abstract

In the present work, simulated cocoa fermentation was investigated at the level of metabolic pathway fluxes (fluxome) of lactic acid bacteria (LAB), which are typically found in the microbial consortium known to convert nutrients from the cocoa pulp into organic acids. A comprehensive (13)C labeling approach allowed to quantify carbon fluxes during simulated cocoa fermentation by (i) parallel (13)C studies with [(13)C6]glucose, [1,2-(13)C2]glucose, and [(13)C6]fructose, respectively, (ii) gas chromatography-mass spectrometry (GC/MS) analysis of secreted acetate and lactate, (iii) stoichiometric profiling, and (iv) isotopomer modeling for flux calculation. The study of several strains of L. fermentum and L. plantarum revealed major differences in their fluxes. The L. fermentum strains channeled only a small amount (4 to 6%) of fructose into central metabolism, i.e., the phosphoketolase pathway, whereas only L. fermentum NCC 575 used fructose to form mannitol. In contrast, L. plantarum strains exhibited a high glycolytic flux. All strains differed in acetate flux, which originated from fractions of citrate (25 to 80%) and corresponding amounts of glucose and fructose. Subsequent, metafluxome studies with consortia of different L. fermentum and L. plantarum strains indicated a dominant (96%) contribution of L. fermentum NCC 575 to the overall flux in the microbial community, a scenario that was not observed for the other strains. This highlights the idea that individual LAB strains vary in their metabolic contribution to the overall fermentation process and opens up new routes toward streamlined starter cultures. L. fermentum NCC 575 might be one candidate due to its superior performance in flux activity.

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Year:  2013        PMID: 23851099      PMCID: PMC3754185          DOI: 10.1128/AEM.01483-13

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  31 in total

1.  Mass spectrometry for metabolic flux analysis.

Authors: 
Journal:  Biotechnol Bioeng       Date:  1999-03       Impact factor: 4.530

Review 2.  Metabolic fluxes and beyond-systems biology understanding and engineering of microbial metabolism.

Authors:  Michael Kohlstedt; Judith Becker; Christoph Wittmann
Journal:  Appl Microbiol Biotechnol       Date:  2010-09-07       Impact factor: 4.813

Review 3.  Low-redundancy sequencing of the entire Lactococcus lactis IL1403 genome.

Authors:  A Bolotin; S Mauger; K Malarme; S D Ehrlich; A Sorokin
Journal:  Antonie Van Leeuwenhoek       Date:  1999 Jul-Nov       Impact factor: 2.271

4.  Species diversity, community dynamics, and metabolite kinetics of the microbiota associated with traditional ecuadorian spontaneous cocoa bean fermentations.

Authors:  Zoi Papalexandratou; Gwen Falony; Edwina Romanens; Juan Carlos Jimenez; Freddy Amores; Heide-Marie Daniel; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2011-09-16       Impact factor: 4.792

5.  Metabolism of pyruvate and citrate in lactobacilli.

Authors:  M W Hickey; A J Hillier; G R Jago
Journal:  Aust J Biol Sci       Date:  1983

6.  Unravelling the multiple effects of lactic acid stress on Lactobacillus plantarum by transcription profiling.

Authors:  Bart Pieterse; Rob J Leer; Frank H J Schuren; Mariët J van der Werf
Journal:  Microbiology       Date:  2005-12       Impact factor: 2.777

7.  Characterization of genes involved in fructose utilization by Lactobacillus fermentum.

Authors:  Miia Helanto; Johannes Aarnikunnas; Airi Palva; Matti Leisola; Antti Nyyssölä
Journal:  Arch Microbiol       Date:  2006-06-02       Impact factor: 2.552

8.  Mechanism of citrate metabolism in Lactococcus lactis: resistance against lactate toxicity at low pH.

Authors:  C Magni; D de Mendoza; W N Konings; J S Lolkema
Journal:  J Bacteriol       Date:  1999-03       Impact factor: 3.490

Review 9.  The microbiology of cocoa fermentation and its role in chocolate quality.

Authors:  Rosane F Schwan; Alan E Wheals
Journal:  Crit Rev Food Sci Nutr       Date:  2004       Impact factor: 11.176

10.  Understanding the adaptive growth strategy of Lactobacillus plantarum by in silico optimisation.

Authors:  Bas Teusink; Anne Wiersma; Leo Jacobs; Richard A Notebaart; Eddy J Smid
Journal:  PLoS Comput Biol       Date:  2009-06-12       Impact factor: 4.475

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  19 in total

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Journal:  Appl Environ Microbiol       Date:  2014-01-10       Impact factor: 4.792

Review 2.  Global cocoa fermentation microbiome: revealing new taxa and microbial functions by next generation sequencing technologies.

Authors:  Jéssica A Viesser; Gilberto V de Melo Pereira; Dão Pedro de Carvalho Neto; Gabriel R Favero; Júlio Cesar de Carvalho; Aristóteles Goés-Neto; Hervé Rogez; Carlos R Soccol
Journal:  World J Microbiol Biotechnol       Date:  2021-06-16       Impact factor: 3.312

Review 3.  A roadmap for interpreting (13)C metabolite labeling patterns from cells.

Authors:  Joerg M Buescher; Maciek R Antoniewicz; Laszlo G Boros; Shawn C Burgess; Henri Brunengraber; Clary B Clish; Ralph J DeBerardinis; Olivier Feron; Christian Frezza; Bart Ghesquiere; Eyal Gottlieb; Karsten Hiller; Russell G Jones; Jurre J Kamphorst; Richard G Kibbey; Alec C Kimmelman; Jason W Locasale; Sophia Y Lunt; Oliver D K Maddocks; Craig Malloy; Christian M Metallo; Emmanuelle J Meuillet; Joshua Munger; Katharina Nöh; Joshua D Rabinowitz; Markus Ralser; Uwe Sauer; Gregory Stephanopoulos; Julie St-Pierre; Daniel A Tennant; Christoph Wittmann; Matthew G Vander Heiden; Alexei Vazquez; Karen Vousden; Jamey D Young; Nicola Zamboni; Sarah-Maria Fendt
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4.  Large-Scale 13C flux profiling reveals conservation of the Entner-Doudoroff pathway as a glycolytic strategy among marine bacteria that use glucose.

Authors:  Arne Klingner; Annekathrin Bartsch; Marco Dogs; Irene Wagner-Döbler; Dieter Jahn; Meinhard Simon; Thorsten Brinkhoff; Judith Becker; Christoph Wittmann
Journal:  Appl Environ Microbiol       Date:  2015-01-23       Impact factor: 4.792

5.  How gut microbiome interactions affect nutritional traits of Drosophila melanogaster.

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Journal:  J Exp Biol       Date:  2020-10-13       Impact factor: 3.312

6.  Metabolic Basis for Mutualism between Gut Bacteria and Its Impact on the Drosophila melanogaster Host.

Authors:  Andrew J Sommer; Peter D Newell
Journal:  Appl Environ Microbiol       Date:  2019-01-09       Impact factor: 4.792

7.  The key to acetate: metabolic fluxes of acetic acid bacteria under cocoa pulp fermentation-simulating conditions.

Authors:  Philipp Adler; Lasse Jannis Frey; Antje Berger; Christoph Josef Bolten; Carl Erik Hansen; Christoph Wittmann
Journal:  Appl Environ Microbiol       Date:  2014-08       Impact factor: 4.792

8.  Influence of Taxonomic and Functional Content of Microbial Communities on the Quality of Fermented Cocoa Pulp-Bean Mass.

Authors:  Jatziri Mota-Gutierrez; Ilario Ferrocino; Manuela Giordano; Mirna Leonor Suarez-Quiroz; Oscar Gonzalez-Ríos; Luca Cocolin
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9.  Genome-based selection and application of food-grade microbes for chickpea milk fermentation towards increased L-lysine content, elimination of indigestible sugars, and improved flavour.

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10.  Phenotypic differentiation of gastrointestinal microbes is reflected in their encoded metabolic repertoires.

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Journal:  Microbiome       Date:  2015-11-30       Impact factor: 14.650

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