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Metabolic modelling of polihydroxyalkanoates production production with different monomeric compositions by Pseudomonas sp.

Grant number: 16/01756-0
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): October 01, 2016
Effective date (End): March 31, 2019
Field of knowledge:Engineering - Chemical Engineering
Principal Investigator:Marilda Keico Taciro
Grantee:Rafael Augusto Theodoro Pereira de Souza Nahat
Home Institution: Instituto de Ciências Biomédicas (ICB). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated scholarship(s):18/05456-6 - A predictive genome-scale Pseudomonas sp. LFM046 metabolic model, BE.EP.DD

Abstract

This plan proposes to develop a framework of metabolic modeling and, with it, build and validate a predictive metabolic model of Pseudomonas sp. for the production of polihydroxyalkanoates (PHA), considering the control of their monomeric composition. The choice of this case study is due to: the existence of an extensive knowledge base already available, including more than 40 chemostats; and industrial interest on PHA, a biocompatible and biodegradable polymer with a wide range of physicochemical properties caused by the existence of more than 150 different monomers. The model is being constructed based on the sequenced genome of the strain Pseudomonas sp. LFM046. Once validated, the model will undergo three batteries of tests: extend the validation of each observed phenotype, from 1 vector to 1 whole vectorial subspace; search for patterns in the metabolic network topology; and run sensitivity analyses to find bioprocess optimization opportunities, which will be tested in silico and, if necessary, in vivo. Methods for treating and refining existing chemostat data have already been developed, as well as parts of the methodologies of the batteries of tests. These methods and the framework will be applicable to other biological systems and bioproducts, speeding up future cycles of R&D. (AU)