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

Información del proyecto

PROMICON

Identificador del acuerdo de subvención: 101000733

DOI 10.3030/101000733

Fecha de la firma de la CE 3 Mayo 2021

Fecha de inicio 1 Junio 2021

Fecha de finalización 31 Mayo 2025

Financiado con arreglo a

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

Coste total € 5 999 712,50

Aportación de la UE € 5 999 712,50

Coordinado por

HELMHOLTZ-ZENTRUM FUR UMWELTFORSCHUNG GMBH - UFZ
Germany

Resultado final

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

Publicaciones

Peer reviewed articles (6)

Monitoring PHB production in Synechocystis sp. with hyperspectral images

Autores: 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
Publicado en: Water Science & Technology, 2022, ISSN 1996-9732
Editor: IWA Publishing
DOI: 10.2166/wst.2022.194

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

Autores: David San León & Juan Nogales
Publicado en: Current Opinion in Microbiology, 2022, ISSN 1369-5274
Editor: Elsevier BV
DOI: 10.1016/j.mib.2022.102169

When microbial biotechnology meets material engineering

Autores: Ana M. Hernández-Arriaga, Cristina Campano, Virginia Rivero-Buceta, M. Auxiliadora Prieto
Publicado en: Microbial Biotechnology, 2022, ISSN 1751-7915
Editor: Willey
DOI: 10.1111/1751-7915.13975

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

Autores: José Pinto, Mykaella Mestre, J.Ramos, Rafael S.Costa, Gerald Striedner, RuiOliveira
Publicado en: Computers & Chemical Engineering, 2022, ISSN 0098-1354
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2022.107952

SBML2HYB: a Python interface for SBML compatible hybrid modeling

Autores: José Pinto, Rafael S Costa, Leonardo Alexandre, João Ramos, Rui Oliveira
Publicado en: Bioinformatics, 2023, ISSN 1367-4803
Editor: Oxford University Press
DOI: 10.1093/bioinformatics/btad044

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

Autores: Xufeng Liu, Hao Xie, Stamatina Roussou, Peter Lindblad
Publicado en: Current Opinion in Biotechnology, 2021, ISSN 0958-1669
Editor: Elsevier BV
DOI: 10.1016/j.copbio.2021.07.014