HARNESSING THE POWER OF NATURE THROUGH PRODUCTIVE MICROBIAL CONSORTIA IN BIOTECHNOLOGY – MEASURE, MODEL, MASTER

Project Information

PROMICON

Grant agreement ID: 101000733

DOI 10.3030/101000733

EC signature date 3 May 2021

Start date 1 June 2021

End date 31 May 2025

Funded under

• SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy

Total cost € 5 999 712,50

EU contribution € 5 999 712,50

Coordinated by

HELMHOLTZ-ZENTRUM FUR UMWELTFORSCHUNG GMBH - UFZ
Germany

Deliverables

Documents, reports (8)

Running on-line single cell analysis platform

Running online single cell analysis platform

Quantitative MS-based metabolomics dataset

Quantitative MSbased metabolomics dataset

Connecting on-line single cell data with automatic evaluation pipelines

Connecting online single cell data with automatic evaluation pipelines

A set of optimized P. taiwanensis VLB 120 balancer strains with enhanced c-di-GMP levels.

A set of optimized P taiwanensis VLB 120 balancer strains with enhanced cdiGMP levels

NMR-environomics dataset

NMRenvironomics dataset

Meta-functional-environomics reconstruction of natural microbiome

Metafunctionalenvironomics reconstruction of natural microbiome

Characterization of microbial consortia from natural environments
A P. putida strain suitable as labor module including sucrose metabolism and lacking negative traits.

A P putida strain suitable as labor module including sucrose metabolism and lacking negative traits

Websites, patent fillings, videos etc. (1)

Project branding and communication channels set-up and running (logo, promotional materials, website, templates, social media)

Project branding and communication channels setup and running logo promotional materials website templates social media

Publications

Peer reviewed articles (6)

Monitoring PHB production in Synechocystis sp. with hyperspectral images

Author(s): Francisco Rodríguez Lorenzo; Miguel Placer Lorenzo; Luz Herrero Castilla; Juan Antonio Álvarez Rodríguez; Sandra Iglesias; Santiago Gómez; Juan Manuel Fernández Montenegro; Estel Rueda; Rubén Diez-Montero; Joan Garcia; Eva Gonzalez-Flo
Published in: Water Science & Technology, 2022, ISSN 1996-9732
Publisher: IWA Publishing
DOI: 10.2166/wst.2022.194

Toward merging bottom–up and top–down model-based designing of synthetic microbial communities

Author(s): David San León & Juan Nogales
Published in: Current Opinion in Microbiology, 2022, ISSN 1369-5274
Publisher: Elsevier BV
DOI: 10.1016/j.mib.2022.102169

When microbial biotechnology meets material engineering

Author(s): Ana M. Hernández-Arriaga, Cristina Campano, Virginia Rivero-Buceta, M. Auxiliadora Prieto
Published in: Microbial Biotechnology, 2022, ISSN 1751-7915
Publisher: Willey
DOI: 10.1111/1751-7915.13975

A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks

Author(s): José Pinto, Mykaella Mestre, J.Ramos, Rafael S.Costa, Gerald Striedner, RuiOliveira
Published in: Computers & Chemical Engineering, 2022, ISSN 0098-1354
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2022.107952

SBML2HYB: a Python interface for SBML compatible hybrid modeling

Author(s): José Pinto, Rafael S Costa, Leonardo Alexandre, João Ramos, Rui Oliveira
Published in: Bioinformatics, 2023, ISSN 1367-4803
Publisher: Oxford University Press
DOI: 10.1093/bioinformatics/btad044

Current advances in engineering cyanobacteria and their applications for photosynthetic butanol production

Author(s): Xufeng Liu, Hao Xie, Stamatina Roussou, Peter Lindblad
Published in: Current Opinion in Biotechnology, 2021, ISSN 0958-1669
Publisher: Elsevier BV
DOI: 10.1016/j.copbio.2021.07.014