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Projeto de investigação
HARNESSING THE POWER OF NATURE THROUGH PRODUCTIVE MICROBIAL CONSORTIA IN BIOTECHNOLOGY – MEASURE, MODEL, MASTER
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Exploring simultaneous production of poly(3-hydroxybutyrate) and exopolysaccharides in cyanobacteria-rich microbiomes
Publication . Altamira-Algarra, Beatriz; García, Joan; Torres, Cristiana A. V.; Reis, Maria A.M.; Gonzalez-Flo, Eva; UCIBIO - Applied Molecular Biosciences Unit; DQ - Departamento de Química; Elsevier
The aim of this study was to explore the viability of the dual production of poly(3-hydroxybutyrate) (PHB) and exopolysaccharides (EPS) by seven microbiomes rich in cyanobacteria. Our initial experiments involved to screen for EPS-producing candidates and examine the impact of salinity and acetate on EPS synthesis. Salinity's known influence on EPS production and acetate's role in enhancing PHB production guided our parameter selection. Surprisingly, neither the introduction of an external carbon source (acetate) nor exposure to an abiotic stressor (salt) significantly altered EPS synthesis rates, which ranged from 25 to 150 mg·L−1, or its composition, with glucose being the dominant sugar component. Scaling up to a 3 L photobioreactor, we achieved simultaneous biopolymer production, reaching up to 205 mg·L−1 EPS and 87 mg·L−1 PHB. Additionally, the presence of uronic acid in the EPS facilitated biomass flocculation, streamlining the separation process, and potentially reducing associated time and costs.
SBML2HYB
Publication . Pinto, José; Costa, Rafael S.; Alexandre, Leonardo; Ramos, João; Oliveira, Rui; LAQV@REQUIMTE; DQ - Departamento de Química; Oxford University Press
Here we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML) into hybrid semiparametric models that combine mechanistic functions with machine learning (ML). The so-formed hybrid models can be trained and stored back in databases in SBML format. The tool supports a user-friendly export interface with an internal format validator. Two case studies illustrate the use of the sbml2hyb tool. Additionally, we describe HMOD, a new model format designed to support and facilitate hybrid models building. It aggregates the mechanistic model information with the ML information and follows as close as possible the SBML rules. We expect the sbml2hyb tool and HMOD to greatly facilitate the widespread usage of hybrid modeling techniques for biological systems analysis.
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Entidade financiadora
European Commission
Programa de financiamento
H2020
Número da atribuição
101000733