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Biology subjects

Pfluegl, S.

Publications and source records attributed to Pfluegl, S..

2 recordsLinked to original sources

A megatransposon drives the adaptation of Thermoanaerobacter kivui to carbon monoxide

Acetogens are promising industrial biocatalysts for upgrading syngas, a gas mixture containing CO, H2 and CO2 into fuels and chemicals. However, CO severely inhibits growth of many acetogens, often requiring extensive adaptation to enable efficient CO conversion ("carboxydotrophy"). Here, we adapted the thermophilic acetogen Thermoanaerobacter kivui to use CO as sole carbon and energy source. Isolate CO-1 exhibited extremely rapid growth on CO and syngas (co-utilizing CO, H2 and CO2) in batch and continuous cultures ({micro}max [~] 0.25 h-1). The carboxydotrophic phenotype was attributed to the mobilization of a CO-inducible megatransposon originating from the locus responsible for autotrophy in T. kivui. Transcriptomics illuminated the crucial role maintaining redox balance likely plays during carboxydotrophic growth. These novel insights were exploited to rationally engineer T. kivui to grow on CO. Collectively, our work elucidates a primary mechanism responsible for the acquisition of carboxydotrophy in homoacetogens and showcases how transposons can orchestrate evolution.

microbiology↗

Predictive Dynamic Control Accurately Maps the Design Space for 2,3-Butanediol Production

2,3-Butanediol is a valuable raw material for many industries. Compared to its classical production from petroleum, novel fermentation-based manufacturing is an ecologically superior alternative. To be also economically feasible, the production bioprocesses need to be well optimized. Here, we adapted and applied a novel process optimization algorithm, dynamic control flux-balance analysis (dcFBA), for 2,3-butanediol production in E. coli. First, we performed two-stage fed-batch process simulations with varying process lengths. There, we found that the solution space can be separated into a proportionality and a trade-off region. With the information of the simulations we were able to design close-to-optimal production processes for maximizing titer and productivity, respectively. Experimental validations resulted in a titer of 43.6{+/-}9.9 g L-1 and a productivity of 1.93 {+/-} 0.08 g L-1 h-1. Subsequently, we optimized a continuous two-reactor process setup for 2,3-butanediol productivity. We found that in this mode, it is possible to increase the productivity more than threefold with minor impact on the titer and yield. Biotechnological process optimization is cumbersome, therefore, many processes are run in suboptimal conditions. We are confident that the methods presented here, will help to make many biotechnological productions economically feasible in the future. HighlightsO_LIPrecise simulations are used to sample the process solution space. C_LIO_LIOur simulations uncover big productivity potential in the 2,3-butanediol production. C_LIO_LIExperiments validate the predictions and show a 2,3-butanediol productivity improvement of 104 %. C_LI

bioengineering↗