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StrainBooster SIGNED

Enforced ATP wasting as a general design principle to rationally engineer microbial cell factories

Total Cost €

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EC-Contrib. €

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Partnership

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 StrainBooster project word cloud

Explore the words cloud of the StrainBooster project. It provides you a very rough idea of what is the project "StrainBooster" about.

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Project "StrainBooster" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: Munich
postcode: 80539
website: www.mpg.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙998˙750 €
 EC max contribution 1˙998˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (Munich) coordinator 1˙998˙750.00

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 Project objective

One global challenge of humanity in the 21st century is the shift from a petrochemical to a bio-based production of chemicals and fuels. An enabling technology towards this goal is metabolic engineering which uses computational and experimental methods to construct microbial cell factories with desired properties. While it has been shown that genetically engineered microorganisms can, in principle, produce a broad range of chemicals, novel approaches to improve the performance of those strains are urgently needed to develop economically viable bioprocesses. To this end, we propose a new metabolic design principle to rationally engineer cell factories with high performance. Supported by a recent pilot study, we postulate that suitable genetic interventions combined with mechanisms that burn (waste) an extra amount of ATP (e.g., by artificial futile cycles) will increase product yield and productivity of many microbial production strains. Key objectives of StrainBooster are therefore: (1) to use computational techniques and metabolic models to identify gene knockout strategies whose coupling with ATP wasting mechanisms can boost the performance of microbial strains and to prove in silico that those strategies exist for many combinations of substrates, products, and host organisms; (2) to develop genetic modules that can robustly increase ATP dissipation in the cell; and (3) to experimentally demonstrate the power of the proposed strategy for selected production processes with Escherichia coli. To reach these ambitious goals, an interdisciplinary approach will be pursued combining theoretical and experimental studies and making use of innovative methods from systems and synthetic biology. If successful, StrainBooster will not only establish a new and ground-breaking strategy for metabolic engineering, it will also deliver novel computational tools and genetic parts facilitating direct application of the approach to design and optimize industrial fermentation processes.

 Publications

year authors and title journal last update
List of publications.
2019 Simon Boecker, Ahmed Zahoor, Thorben Schramm, Hannes Link, Steffen Klamt
Broadening the Scope of Enforced ATP Wasting as a Tool for Metabolic Engineering in Escherichia coli
published pages: 1800438, ISSN: 1860-6768, DOI: 10.1002/biot.201800438
Biotechnology Journal 14/9 2019-11-07
2019 Philipp Schneider, Steffen Klamt
Characterizing and ranking computed metabolic engineering strategies
published pages: 3063-3072, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty1065
Bioinformatics 35/17 2019-11-07
2019 Steffen Klamt, Axel von Kamp, Björn-Johannes Harder
Computergestütztes Design mikrobieller Zellfabriken
published pages: 156-158, ISSN: 0947-0867, DOI: 10.1007/s12268-019-1015-0
BIOspektrum 25/2 2019-11-07
2018 Naveen Venayak, Axel von Kamp, Steffen Klamt, Radhakrishnan Mahadevan
MoVE identifies metabolic valves to switch between phenotypic states
published pages: 5332, ISSN: 2041-1723, DOI: 10.1038/s41467-018-07719-4
Nature Communications 9/1 2019-11-07
2018 Steffen Klamt, Radhakrishnan Mahadevan, Oliver Hädicke
When Do Two-Stage Processes Outperform One-Stage Processes?
published pages: 1700539, ISSN: 1860-6768, DOI: 10.1002/biot.201700539
Biotechnology Journal 13/2 2019-04-18
2018 Steffen Klamt, Stefan Müller, Georg Regensburger, Jürgen Zanghellini
A mathematical framework for yield ( vs. rate) optimization in constraint-based modeling and applications in metabolic engineering
published pages: 153-169, ISSN: 1096-7176, DOI: 10.1016/j.ymben.2018.02.001
Metabolic Engineering 47 2019-04-18
2018 Oliver Hädicke, Axel von Kamp, Timur Aydogan, Steffen Klamt
OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli
published pages: e1006492, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1006492
PLOS Computational Biology 14/9 2019-04-18
2018 Björn-Johannes Harder, Katja Bettenbrock, Steffen Klamt
Temperature-dependent dynamic control of the TCA cycle increases volumetric productivity of itaconic acid production by Escherichia coli
published pages: 156-164, ISSN: 0006-3592, DOI: 10.1002/bit.26446
Biotechnology and Bioengineering 115/1 2019-04-18
2017 Axel von Kamp, Sven Thiele, Oliver Hädicke, Steffen Klamt
Use of CellNetAnalyzer in biotechnology and metabolic engineering
published pages: 221-228, ISSN: 0168-1656, DOI: 10.1016/j.jbiotec.2017.05.001
Journal of Biotechnology 261 2019-04-18
2017 Axel von Kamp, Steffen Klamt
Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms
published pages: 15956, ISSN: 2041-1723, DOI: 10.1038/ncomms15956
Nature Communications 8 2019-04-18

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