Stoichiometric Model and Flux Balance Analysis for a Mixed Culture of Leptospirillum ferriphilum and Ferroplasma acidiphilum
Author
dc.contributor.author
Merino Santis, María Paz
Author
dc.contributor.author
Andrews Farrow, Bárbara
Author
dc.contributor.author
Asenjo de Leuze, Juan
Admission date
dc.date.accessioned
2015-08-05T18:09:00Z
Available date
dc.date.available
2015-08-05T18:09:00Z
Publication date
dc.date.issued
2015
Cita de ítem
dc.identifier.citation
Biotechnol. Prog., 2015, Vol. 31, No. 2
en_US
Identifier
dc.identifier.issn
1520-6033
Identifier
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DOI: 10.1002/btpr.2028
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/132422
General note
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Artículo de publicación ISI
en_US
Abstract
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The oxidation process of sulfide minerals in natural environments is achieved by microbial
communities from the Archaea and Bacteria domains. A metabolic reconstruction of two
dominant species, Leptospirillum ferriphilum and Ferroplasma acidiphilum, which are
always found together as a mixed culture in this natural environments, was made. The metabolic
model, composed of 152 internal reactions and 29 transport reactions, describes the
main interactions between these species, assuming that both use ferrous iron as energy
source, and F. acidiphilum takes advantage of the organic compounds secreted by L. ferriphilum
for chemomixotrophic growth. A first metabolic model for a mixed culture used in
bacterial leaching is proposed in this article, which pretends to represent the characteristics
of the mixed culture in a simplified manner. It was evaluated with experimental data through
flux balance analysis (FBA) using as objective function the maximization of biomass. The
growth yields on ferrous iron obtained for each microorganism are consistent with experimental
data, and the flux distribution obtained allows understanding of the metabolic capabilities
of both microorganisms growing together in a bioleaching process. The model was
used to simulate the growth of F. acidiphilum on different substrates, to determine in silico
which compounds maximize cell growth, and which are essential. Knockout simulations were
carried out for L. ferriphilum and F. acidiphilum metabolic models, predicting key enzymes
of central metabolism. The results of this analysis are consistent with experimental data
from literature, showing a robust behavior of the metabolic model.
en_US
Patrocinador
dc.description.sponsorship
Basal Programme of Conicyt
FB0001
Conicyt
BioSigma S.A.