Biomedical subjects

Hannes Link

Publications and source records attributed to Hannes Link.

4 recordsLinked to original sources

PubMed2023

Mapping temperature-sensitive mutations at a genome scale to engineer growth switches in Escherichia coli.

Temperature-sensitive (TS) mutants are a unique tool to perturb and engineer cellular systems. Here, we constructed a CRISPR library with 15,120 Escherichia coli mutants, each with a single amino acid change in one of 346 essential proteins. 1,269 of these mutants showed temperature-sensitive growth in a time-resolved competition assay. We reconstructed 94 TS mutants and measured their metabolism under growth arrest at 42°C using metabolomics. Metabolome changes were strong and mutant-specific, showing that metabolism of nongrowing E. coli is perturbation-dependent. For example, 24 TS mutants of metabolic enzymes overproduced the direct substrate metabolite due to a bottleneck in their associated pathway. A strain with TS homoserine kinase (ThrBF267D ) produced homoserine for 24 h, and production was tunable by temperature. Finally, we used a TS subunit of DNA polymerase III (DnaXL289Q ) to decouple growth from arginine overproduction in engineered E. coli. These results provide a strategy to identify TS mutants en masse and demonstrate their large potential to produce bacterial metabolites with nongrowing cells.

Escherichia coli↗

PubMed2006

Genetic algorithm for multi-objective experimental optimization.

A new software tool making use of a genetic algorithm for multi-objective experimental optimization (GAME.opt) was developed based on a strength Pareto evolutionary algorithm. The software deals with high dimensional variable spaces and unknown interactions of design variables. This approach was evaluated by means of multi-objective test problems replacing the experimental results. A default parameter setting is proposed enabling users without expert knowledge to minimize the experimental effort (small population sizes and few generations).

Algorithms↗

PubMed2006

Comparison of genetic algorithms for experimental multi-objective optimization on the example of medium design for cyanobacteria.

In this work, two different genetic algorithms were applied to improve culture media composition for the autotrophic cyanobacteria Synechococcus PCC 7942. Biomass yield and conversion of the asymmetric reduction of 2', 3', 4', 5', 6'-pentafluoroacetophenone were considered as simultaneous objectives, resulting in a multi-objective optimization problem. Even when similar performances of both algorithms were observed, it could be shown that a novel strength pareto approach was able to achieve remarkable results with a reduced number of experiments (160 instead of 320). Handling a high number of media components (13), their concentrations were adjusted, delivering high improvements in comparison to the standard BG 11 culture media. The quality of the Synechococcus biocatalyst could be increased up to fivefold compared to the initial state of the optimization.

Algorithms↗

PubMed2005

Asymmetric synthesis of tert-butyl (3R, 5S) 6-chloro-dihydroxyhexanoate with Lactobacillus kefir.

An efficient whole cell biotransformation process using Lactobacillus kefir was developed for the asymmetric synthesis of tert-butyl (3R, 5S) 6-chloro-dihydroxyhexanoate, a chiral building block for the HMG-CoA reductase inhibitor. The effects of buffer concentration, temperature, pH and oxygen on the asymmetric reduction were investigated in batch reactions. Improvements in final product concentration and yields of 153% (120 mM) and 79% (0.85 mol/mol) with respect to the batch-process were achieved in an optimised fed-batch process. The pure substrate tert-butyl-6-chloro-3,5-dioxohexanoate was dispersed as microdroplets into the reaction system. This resulted in a space-time yield of 4.7 mmol l(-1) h(-1). A diastereomeric excess of >99% was measured for (3R, 5S) and (3S, 5S) tert-butyl 6-chloro-dihydroxyhexanoate.

Biotechnology↗