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dc.contributor.author
Lasry Testa, Romina Daniela  
dc.contributor.author
Delpino, Claudio  
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Estrada, Vanina Gisela  
dc.contributor.author
Díaz, María Soledad  
dc.date.available
2022-07-18T14:46:09Z  
dc.date.issued
2022-03  
dc.identifier.citation
Lasry Testa, Romina Daniela; Delpino, Claudio; Estrada, Vanina Gisela; Díaz, María Soledad; Development of in silico strategies to photoautotrophically produce poly-β-hydroxybutyrate (PHB) by cyanobacteria; Elsevier; Algal Research; 62; 3-2022; 1-11  
dc.identifier.issn
2211-9264  
dc.identifier.uri
http://hdl.handle.net/11336/162334  
dc.description.abstract
Poly(3-hydroxybutyrate) (PHB), a biopolymer similar to polypropylene, is currently produced by heterotrophic bacteria. However, the elevated cost of raw material used as carbon and energy sources are promoting the development of new sustainable bioprocess based on photoautotrophic routes costs. In unbalanced growth conditions, some cyanobacteria can accumulate PHB using CO2 as the sole carbon source, becoming an option for PHB production. In this work, we study in silico PHB production with the model cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis). We consider two different strategies for in silico strain design: coupled growth-PHB production and a two-stage fermentation strategy. For both strategies we consider a GEnome-scale Model (GEM) of Synechocystis, which was modified to account for PHB production. The coupled approach relies on a bilevel optimization problem that identifies gene knock-outs needed to obtain a mutant that couples PHB production with biomass formation. For this case, two mutants that successfully achieve the required coupling are obtained, and the best one is analyzed in terms of intervention strategies, flux distributions and productivities. For the two-stage fermentation strategy, we consider two bioreactors in series. The first one is optimized for biomass production under balanced growth conditions, and the second one is optimized for PHB production under nitrogen starvation conditions. Both stages are simulated within dfba, a python tool for solving the Dynamic Flux Balance Analysis (DFBA) problem which provides the solution of a bioreactor model subject to the mass balances of the GEM. Numerical results for the two-stage approach provide a PHB concentration of 4.764 g PHB/L while the mutant provides a lower concentration of 0.391 g PHB/L. Nevertheless, both strategies provide high PHB content per cell dry weight (cdw), which makes results attractive for photosynthetic PHB production.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CYANOBACTERIA  
dc.subject
DFBA  
dc.subject
METABOLIC MODELLING  
dc.subject
PHB  
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SYNECHOCYSTIS  
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SYSTEMS BIOLOGY  
dc.subject.classification
Otras Ingeniería Química  
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Ingeniería Química  
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INGENIERÍAS Y TECNOLOGÍAS  
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Bioproductos, Biomateriales, Bioplásticos, Biocombustibles, Bioderivados, etc.  
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Biotecnología Industrial  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Development of in silico strategies to photoautotrophically produce poly-β-hydroxybutyrate (PHB) by cyanobacteria  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-07-04T19:17:43Z  
dc.journal.volume
62  
dc.journal.pagination
1-11  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Lasry Testa, Romina Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Delpino, Claudio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.journal.title
Algal Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2211926421004409  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.algal.2021.102621