Literature DB >> 18829387

The metabolic pH response in Lactococcus lactis: an integrative experimental and modelling approach.

Ann Zahle Andersen1, Ana Lúcia Carvalho, Ana Rute Neves, Helena Santos, Ursula Kummer, Lars Folke Olsen.   

Abstract

Lactococcus lactis is characterised by its ability to convert sugar almost exclusively into lactic acid. This organic acid lowers extracellular pH, thus inhibiting growth of competing bacteria. Although L. lactis is able to survive at low pH, glycolysis is strongly affected at pH values below 5, showing reduced rate of glucose consumption. Therefore, in order to deepen our knowledge on central metabolism of L. lactis in natural or industrial environments, an existing full scale kinetic model of glucose metabolism was extended to simulate the impact of lowering extracellular pH in non-growing cells of L. lactis MG1363. Validation of the model was performed using (13)C NMR, (31)P NMR, and nicotinamide adenine dinucleotide hydride auto-fluorescence data of living cells metabolizing glucose at different pH values. The changes in the rate of glycolysis as well as in the dynamics of intracellular metabolites (NADH, nucleotide triphosphates and fructose-1,6-bisphosphate) observed during glucose pulse experiments were reproduced by model simulations. The model allowed investigation of key enzymes at sub-optimum extracellular pH, simulating their response to changing conditions in the complex network, as opposed to in vitro enzyme studies. The model predicts that a major cause of the decrease in the glycolytic rate, upon lowering the extracellular pH, is the lower pool of phosphoenolpyruvate available to fuel glucose uptake via the phosphoenolpyruvate-dependent transport system.

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Year:  2008        PMID: 18829387     DOI: 10.1016/j.compbiolchem.2008.08.001

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  8 in total

1.  Characterization of three lactic acid bacteria and their isogenic ldh deletion mutants shows optimization for YATP (cell mass produced per mole of ATP) at their physiological pHs.

Authors:  Tomas Fiedler; Martijn Bekker; Maria Jonsson; Ibrahim Mehmeti; Anja Pritzschke; Nikolai Siemens; Ingolf Nes; Jeroen Hugenholtz; Bernd Kreikemeyer
Journal:  Appl Environ Microbiol       Date:  2010-11-19       Impact factor: 4.792

2.  Protonation drives the conformational switch in the multidrug transporter LmrP.

Authors:  Matthieu Masureel; Chloé Martens; Richard A Stein; Smriti Mishra; Jean-Marie Ruysschaert; Hassane S Mchaourab; Cédric Govaerts
Journal:  Nat Chem Biol       Date:  2013-12-08       Impact factor: 15.040

3.  Standardized assay medium to measure Lactococcus lactis enzyme activities while mimicking intracellular conditions.

Authors:  Anisha Goel; Filipe Santos; Willem M de Vos; Bas Teusink; Douwe Molenaar
Journal:  Appl Environ Microbiol       Date:  2011-10-21       Impact factor: 4.792

4.  Monte-Carlo modeling of the central carbon metabolism of Lactococcus lactis: insights into metabolic regulation.

Authors:  Ettore Murabito; Malkhey Verma; Martijn Bekker; Domenico Bellomo; Hans V Westerhoff; Bas Teusink; Ralf Steuer
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

Review 5.  Systems biology of lactic acid bacteria: a critical review.

Authors:  Bas Teusink; Herwig Bachmann; Douwe Molenaar
Journal:  Microb Cell Fact       Date:  2011-08-30       Impact factor: 5.328

6.  Dynamics of benzoate metabolism in Pseudomonas putida KT2440.

Authors:  Suresh Sudarsan; Lars M Blank; Alexander Dietrich; Oliver Vielhauer; Ralf Takors; Andreas Schmid; Matthias Reuss
Journal:  Metab Eng Commun       Date:  2016-03-15

7.  Multifunctional properties of Lactobacillus plantarum strains WiKim83 and WiKim87 as a starter culture for fermented food.

Authors:  Ji-Hye Jung; Su-Ji Kim; Jae Yong Lee; So-Ra Yoon; Su-Yeon You; Sung Hyun Kim
Journal:  Food Sci Nutr       Date:  2019-07-02       Impact factor: 2.863

8.  Efficient production of l-lactic acid by an engineered Thermoanaerobacterium aotearoense with broad substrate specificity.

Authors:  Xiaofeng Yang; Zhicheng Lai; Chaofeng Lai; Muzi Zhu; Shuang Li; Jufang Wang; Xiaoning Wang
Journal:  Biotechnol Biofuels       Date:  2013-08-28       Impact factor: 6.040

  8 in total

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