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Last update: 09 May 2017
 
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Joining ERA-IB consortium MetaCat [January 2017]
Since January 2017 our department belongs to the MetaCat consortium - a metagenomic collection of novel and highly efficient biocatalysts for industrial biotechnology (→ read more)
New OBAC cluster funded within ERA-IB [November 2016]
Partners form Frankfurt, Ulm, La Coruna, Gent and Göttingen will work together within the joint project 'OBAC - Overcoming energetic barriers in acetogenic conversion of carbon dioxide'. (→ read more)
FLEXIZUCKER - new BMEL funded project [October 2016]
Process engineering, enzymatic and genomic characterization of a flexible biogas production with targeted use of sugar beets (→ read more)
Annual Genomics Workshop [July 2016]
The 4th 'International Workshop on Prokaryotic Genomics & Bioinformatics' took place from 19-22 July 2016. (→ read more)
CDiff project elongation until 2018 [July 2016]
A research co-operation of microbiologists from northern Germany analyses the hospital-aquired pathogen Clostridium difficile in order to develop new diagnostic tools and therapies. (→ read more)
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News

› Joining ERA-IB consortium MetaCat [January 2017] (→ read more)
› New OBAC cluster funded within ERA-IB [November 2016] (→ read more)
› FLEXIZUCKER - new BMEL funded project [October 2016] (→ read more)
› Annual Genomics Workshop [July 2016] (→ read more)
› CDiff project elongation until 2018 [July 2016] (→ read more)
› ANTIRES - new joint project [June 2016] (→ read more)

FLEXIZUCKER - new BMEL funded project (October 2016)
Process engineering, enzymatic and genomic characterization of a flexible biogas production with targeted use of sugar beets
The generation of electricity from biogas production is the only form of regenerative energy production that allows flexible supply. An important prerequisite is a cost-efficient feeding management of biogas plants. This project aims at targeted biogas production by quickly available carbohydrates in sugar beet silage. This may ensure that existing biogas plants can participate even more efficiently in the feed-in management of network operators as well as in the energy balancing market. One important basic requirement for this purpose is that feeding management concentrated on temporally fluctuating biogas production does not interfere with the stability of the microbial community. The necessary adaptations of the microorganisms’ metabolic activities to the demand-oriented operational mode of biogas plants will be determined by comparative analyses of expression patterns and measuring of specific enzyme activities. The direct correlation of metabolic activity with essential process parameters will allow the assessment of the limitations of temporally fluctuating biogas production. A combination of metagenome and metatranscriptome analyses on the basis of high throughput-sequencing technology allows the observation of microbial metabolic activities in correlation to the demand-oriented operational mode. In this project the modification of expression patterns after intermittent addition of sugar beet silage will be analyzed by metagenome and metatranscriptome methods.