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

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Químicagl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)gl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorRegueira López, Alberte
dc.contributor.authorRombouts, Julius Laurens
dc.contributor.authorWahl, S. Aljoscha
dc.contributor.authorMauricio Iglesias, Miguel
dc.contributor.authorLema Rodicio, Juan Manuel
dc.contributor.authorKleerebezem, Robbert
dc.date.accessioned2021-01-26T09:10:30Z
dc.date.available2021-10-19T01:00:10Z
dc.date.issued2021
dc.description.abstractLactate 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™ codes required for performing the simulations presented in this study are available at https://doi.org/10.5281/zenodo.4031144gl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThe authors would like to acknowledge the support of the Spanish Ministry of Education (FPU14/05457), project BIOCHEM (ERA‐IB‐2 7th call, ERA‐IB‐16‐052) funded by MINECO (PCIN 2016‐102) and the Soenghen Institute for Anaerobic Microbiology (SIAM), SIAM gravitation grant (the Netherlands Organization for Scientific Research, 024.002.002). Alberte Regueira would like to thank the CRETUS Strategic Partnership (ED431E 2018/01), for a research stay grant. Alberte Regueira, Miguel Mauricio‐Iglesias, and Juan M. Lema belong to the Galician Competitive Research Group (ED431C 2017/029) and to the CRETUS Strategic Partnership, both programmes are co‐funded by ERDF (EU)gl
dc.identifier.citationRegueira, A, Rombouts, JL, 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: 745– 758. https://doi.org/10.1002/bit.27605gl
dc.identifier.doi10.1002/bit.27605
dc.identifier.essn1097-0290
dc.identifier.urihttp://hdl.handle.net/10347/24315
dc.language.isoenggl
dc.publisherWileygl
dc.relation.publisherversionhttps://doi.org/10.1002/bit.27605gl
dc.rights© 20 20 Wiley Periodicals LLC. This article may be used for non‐commercial purposes in accordance with Wiley Terms and Conditions for Use of Self‐Archived Versionsgl
dc.rights.accessRightsopen accessgl
dc.subjectAuxotrophygl
dc.subjectCarboxylate platformgl
dc.subjectLactic acid bacteriagl
dc.subjectMetabolic trade‐offgl
dc.subjectMixed microbial communitygl
dc.titleResource allocation explains lactic acid production in mixed‐culture anaerobic fermentationsgl
dc.typejournal articlegl
dc.type.hasVersionAMgl
dspace.entity.typePublication
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relation.isAuthorOfPublication9fbac3ef-9f34-48d3-ad2a-afc25f286f08
relation.isAuthorOfPublication.latestForDiscoverybc9b55d8-84d1-49d3-bdbe-1c9a9c276cf5

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