Search bioRxiv⌕ Search

Biology subjects

Meiners, C.

Publications and source records attributed to Meiners, C..

2 recordsLinked to original sources

Going beyond size: Exploring the metabolic burden inPseudomonas putida during heterologous proteinproduction

In biotechnological applications, it is often necessary to introduce genes or entire pathways into a host cell, which can create a significant metabolic burden on the host, limiting productivity. In this study, we systematically investigated the physiological stress responses of Pseudomonas putida during heterologous protein production using a modular monitoring system consisting of a plasmid encoding a heterologous protein fused to eGFP and a chromosomally integrated capacity reporter. Our findings reveal that translation is the main bottleneck, with translational capacity becoming saturated under high expression loads. While increasing the strength of the RBS improved protein production for non-burdensome proteins, this effect was not observed for larger fusion proteins. Variations in fusion protein size suggested that it is not the overall mass of the produced protein, but rather the length of the mRNA transcript, that contributes to metabolic burden. We further evaluated how resource availability affects protein expression by modifying the metabolic regime or supplementing with amino acids. While the carbon source affected cellular capacity, it did not significantly alter heterologous protein production. Amino acid supplementation alleviated the growth defects of MBPeGFP-producing cells and modestly improved protein production rates. Together, these findings emphasize that metabolic burden is influenced not only by the size of the produced protein but also by transcript architecture, resource allocation, and the physiological state of the host. Therefore, successful optimization of heterologous protein production requires a holistic approach integrating construct design with host physiology and cultivation strategies.

synthetic biology↗

Integrated control of redox and energy metabolism by the membrane-bound and soluble transhydrogenases of Pseudomonas putida across metabolic regimes

Redox homeostasis is central to microbial physiology and stress adaptation, yet the functional roles of transhydrogenases remain poorly understood beyond a few organisms. In this study, we systematically explored how Pseudomonas putida, a model soil bacterium, integrates two distinct transhydrogenases (membrane-bound PntAB and soluble SthA) into a flexible and reversible redox-balancing system that supports metabolic robustness across diverse metabolic regimes. While single deletions of either enzyme had minimal impact on the overall fitness, the double {Delta}pntAB {Delta}sthA mutant exhibited growth defects, disrupted energy charge, and redox imbalance. Unexpectedly, SthA proved essential for acetate-dependent growth, a phenotype traced to a transcriptional regulator involved in glyoxylate metabolism. Transhydrogenases also mediated tolerance to formate, a key one-carbon (C1) substrate for biotechnology, by channeling reducing equivalents released during feedstock oxidation. Synergistic activity with native formate dehydrogenases enabled redox buffering, even under stressful conditions. Functional complementation with native and engineered NAD+- or NADP+-dependent dehydrogenases validated SthA as the main sink for excess NADH. Comparative genomics linked transhydrogenase gene neighborhoods to stress and membrane processes, highlighting their evolutionary significance. These findings redefine transhydrogenases as dynamic regulators of redox metabolism, not passive cofactor shuttles. Furthermore, this work positions P. putida as a prime host for redox-intensive applications, informing design principles for C1-based metabolic engineering. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/686620v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@17c0e06org.highwire.dtl.DTLVardef@17cd094org.highwire.dtl.DTLVardef@161b5b9org.highwire.dtl.DTLVardef@1e1897e_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗