Transient analysis and engineering of bacterial metabolic pathways using cell-penetrating peptide-peptide nucleic acid conjugates
摘要
Conventional genetic engineering approaches for bacterial metabolic pathway manipulation, although highly applicable, still face limitations including metabolic burden, irreversibility, and dependency on host cellular machinery. Cell-penetrating peptide-peptide nucleic acid conjugates (CPP-PNAs), known for their applicability as antibacterial tools and in the elucidation of protein function, offer a promising alternative to overcome such limitations. Since the application of CPP-PNA in metabolic engineering and pathway elucidation remains largely unexplored, we developed and validated a CPP-PNA platform using Synechocystis sp. PCC 6803 as a model system to demonstrate targeted metabolic pathway evaluation.
ResultsHigh compatibility and dose-dependent permeation efficiency in strain PCC 6803 was first observed when the amphipathic CPP (KFF)₃K was employed, achieving clear cell growth inhibition at 10 µM and above. Specific targeting of D-lactate dehydrogenase (Ddh) using CPP-Syn6803ddh conjugates achieved near-complete protein translation knockdown within 24 h, as confirmed by Western blot analysis. Metabolomics analysis using LC-MS on predetermined metabolites revealed that CPP–PNA treatment produced metabolic effects comparable to stable genetic knockout strains, with both approaches showing a significant 2.5-fold increase in pyruvate accumulation compared to wild-type controls. Further elucidating the reason for pyruvate accumulation, we observed compensatory activation of the glyoxalase pathway at 48 h post-treatment, resulting in 3-fold increased D-lactate production presumably through methylglyoxal detoxification. Validating this observation, RT-qPCR analysis confirmed 2-3-fold upregulation of the glyII gene, encoding for the glyoxalase II (GlyII) enzyme, in both CPP-PNA treated and knockout strains, while double CPP-PNA inhibition experiments targeting both Ddh and glyoxalase pathways suppressed D-lactate accumulation.
ConclusionsThis study establishes CPP-PNAs as efficient tools for rapid, and simple metabolic pathway investigation. The approach produces results comparable to conventional genetic knockouts while offering dose-dependent control and avoiding permanent genomic alterations. Our findings reveal unexpected metabolic complexity in Synechocystis sp. PCC 6803 D-lactate synthesis under light conditions and demonstrate the utility of CPP-PNA for uncovering compensatory pathway activation. This platform represents a valuable addition to bacterial genetic engineering, addressing some of the critical limitations faced by conventional approaches, while showing potential for further understanding the biochemistry of metabolite-producing bacteria.