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Resource allocation explains lactic acid production in mixed-culture anaerobic fermentations

(2021) BIOTECHNOLOGY AND BIOENGINEERING. 118(2). p.745-758
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Abstract
Lactate production in anaerobic carbohydrate fermentations with mixed cultures of microorganisms is generally observed only in very specific conditions: the reactor should be run discontinuously and peptides and B vitamins must be present in the culture medium as lactic acid bacteria (LAB) are typically auxotrophic for amino acids. State-of-the-art anaerobic fermentation models assume that microorganisms optimise the adenosine triphosphate (ATP) yield on substrate and therefore they do not predict the less ATP efficient lactate production, which limits their application for designing lactate production in mixed-culture fermentations. In this study, a metabolic model taking into account cellular resource allocation and limitation is proposed to predict and analyse under which conditions lactate production from glucose can be beneficial for microorganisms. The model uses a flux balances analysis approach incorporating additional constraints from the resource allocation theory and simulates glucose fermentation in a continuous reactor. This approach predicts lactate production is predicted at high dilution rates, provided that amino acids are in the culture medium. In minimal medium and lower dilution rates, mostly butyrate and no lactate is predicted. Auxotrophy for amino acids of LAB is identified to provide a competitive advantage in rich media because less resources need to be allocated for anabolic machinery and higher specific growth rates can be achieved. The Matlab (TM) codes required for performing the simulations presented in this study are available at.
Keywords
auxotrophy, carboxylate platform, lactic acid bacteria, metabolic trade&#8208, off, mixed microbial community, ACIDOGENIC FERMENTATION, MICROBIAL COMMUNITIES, METABOLIC STRATEGIES, ESCHERICHIA-COLI, GROWTH, EVOLUTION, BACTERIA, GLUCOSE, DESIGN, PH

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MLA
Regueira López, Alberte, et al. “Resource Allocation Explains Lactic Acid Production in Mixed-Culture Anaerobic Fermentations.” BIOTECHNOLOGY AND BIOENGINEERING, vol. 118, no. 2, 2021, pp. 745–58, doi:10.1002/bit.27605.
APA
Regueira López, A., Rombouts, Julius. L., Wahl, S. A., Mauricio‐Iglesias, M., Lema, J. M., & Kleerebezem, R. (2021). Resource allocation explains lactic acid production in mixed-culture anaerobic fermentations. BIOTECHNOLOGY AND BIOENGINEERING, 118(2), 745–758. https://doi.org/10.1002/bit.27605
Chicago author-date
Regueira López, Alberte, Julius. L. Rombouts, S. Aljoscha Wahl, Miguel Mauricio‐Iglesias, Juan M. Lema, and Robbert Kleerebezem. 2021. “Resource Allocation Explains Lactic Acid Production in Mixed-Culture Anaerobic Fermentations.” BIOTECHNOLOGY AND BIOENGINEERING 118 (2): 745–58. https://doi.org/10.1002/bit.27605.
Chicago author-date (all authors)
Regueira López, Alberte, Julius. L. Rombouts, S. Aljoscha Wahl, Miguel Mauricio‐Iglesias, Juan M. Lema, and Robbert Kleerebezem. 2021. “Resource Allocation Explains Lactic Acid Production in Mixed-Culture Anaerobic Fermentations.” BIOTECHNOLOGY AND BIOENGINEERING 118 (2): 745–758. doi:10.1002/bit.27605.
Vancouver
1.
Regueira López A, Rombouts JuliusL, Wahl SA, Mauricio‐Iglesias M, Lema JM, Kleerebezem R. Resource allocation explains lactic acid production in mixed-culture anaerobic fermentations. BIOTECHNOLOGY AND BIOENGINEERING. 2021;118(2):745–58.
IEEE
[1]
A. Regueira López, Julius. L. Rombouts, S. A. Wahl, M. Mauricio‐Iglesias, J. M. Lema, and R. Kleerebezem, “Resource allocation explains lactic acid production in mixed-culture anaerobic fermentations,” BIOTECHNOLOGY AND BIOENGINEERING, vol. 118, no. 2, pp. 745–758, 2021.
@article{8724930,
  abstract     = {{Lactate production in anaerobic carbohydrate fermentations with mixed cultures of microorganisms is generally observed only in very specific conditions: the reactor should be run discontinuously and peptides and B vitamins must be present in the culture medium as lactic acid bacteria (LAB) are typically auxotrophic for amino acids. State-of-the-art anaerobic fermentation models assume that microorganisms optimise the adenosine triphosphate (ATP) yield on substrate and therefore they do not predict the less ATP efficient lactate production, which limits their application for designing lactate production in mixed-culture fermentations. In this study, a metabolic model taking into account cellular resource allocation and limitation is proposed to predict and analyse under which conditions lactate production from glucose can be beneficial for microorganisms. The model uses a flux balances analysis approach incorporating additional constraints from the resource allocation theory and simulates glucose fermentation in a continuous reactor. This approach predicts lactate production is predicted at high dilution rates, provided that amino acids are in the culture medium. In minimal medium and lower dilution rates, mostly butyrate and no lactate is predicted. Auxotrophy for amino acids of LAB is identified to provide a competitive advantage in rich media because less resources need to be allocated for anabolic machinery and higher specific growth rates can be achieved. The Matlab (TM) codes required for performing the simulations presented in this study are available at.}},
  author       = {{Regueira López, Alberte and Rombouts, Julius. L. and Wahl, S. Aljoscha and Mauricio‐Iglesias, Miguel and Lema, Juan M. and Kleerebezem, Robbert}},
  issn         = {{0006-3592}},
  journal      = {{BIOTECHNOLOGY AND BIOENGINEERING}},
  keywords     = {{auxotrophy,carboxylate platform,lactic acid bacteria,metabolic trade&#8208,off,mixed microbial community,ACIDOGENIC FERMENTATION,MICROBIAL COMMUNITIES,METABOLIC STRATEGIES,ESCHERICHIA-COLI,GROWTH,EVOLUTION,BACTERIA,GLUCOSE,DESIGN,PH}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{745--758}},
  title        = {{Resource allocation explains lactic acid production in mixed-culture anaerobic fermentations}},
  url          = {{http://dx.doi.org/10.1002/bit.27605}},
  volume       = {{118}},
  year         = {{2021}},
}

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