Aggregation-prone antimicrobial peptides target gram-negative bacterial nucleic acids and protein synthesis.

Acta Biomater

Shenzhen Key Laboratory of Marine Bioresource and Eco-Environmental Science, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China. Electronic address:

Published: December 2024

AI Article Synopsis

  • Aggregation of antimicrobial peptides (AMPs) can increase their effectiveness against bacteria by disrupting their cell structures, presenting a potential solution to antibiotic resistance.
  • Researchers focused on the cephalopod Octopus bimaculoides, which lacks known AMP genes, and utilized artificial intelligence to identify four aggregation-prone peptides (Oct-P1 to Oct-P4), with Oct-P2 showing a 90% reduction in bacterial viability.
  • The study revealed that Oct-P2 not only penetrates bacterial cells but also interacts with DNA, hindering gene expression, thus illustrating its promise as a template for developing new antimicrobial therapies.

Article Abstract

Aggregation of antimicrobial peptides (AMPs) enhances their efficacy by destabilising the bacterial cell wall, membrane, and cytosolic proteins. Developing aggregation-prone AMPs offers a promising strategy to combat antibiotic resistance, though predicting such AMPs and understanding bacterial responses remain challenging. Octopus bimaculoides, a cephalopod species, lacks known AMP gene families, yet its protein fragments were used to predict AMPs via artificial intelligence tools. Four peptides (Oct-P1, Oct-P2, Oct-P3, and Oct-P4) were identified based on their aggregation propensity. Among them, Oct-P2 reduced the viability of Escherichia coli and Staphylococcus aureus by up to 90 %, confirmed by confocal laser scanning microscopy and scanning electron microscopy. It further aggregated plasmid DNA in vitro, and the presence of extracellular DNA reduced their antibacterial activity. With knockout mutants, it revealed that Oct-P2 was internalized into bacterial cells, possibly through membrane transport proteins, enhancing its antibacterial effect. Aggregation-induced emission assays and molecular dynamics simulations revealed that Oct-P2 aggregates with transcription promoter DNA, inhibiting transcription and translation in vitro. This dual-target mechanism not only highlights the potential of Oct-P2 as a lead template for new antimicrobial drug development, but also opens a new window for discovering AMPs from protein fragments against the upcoming challenge of bacterial infections. STATEMENT OF SIGNIFICANCE: A popular strategy for identifying antimicrobial peptides (AMPs) in specific genomes uses the conserved regions of AMP families, but this strategy has limitations in organisms lacking classical AMP gene families, such as Octopus. Fragments from non-antimicrobial proteins serve as a rich source for the identification of new AMPs. In this study, we used artificial intelligence tools to search for potential candidate AMP sequences from non-antimicrobial proteins in Octopus bimaculoides. The successful identification of aggregation-prone AMPs was shown to decrease bacterial viability, increase permeability, and reduce biomass. One candidate, Oct-P2, kills the gram-negative bacteria E. coli by aggregating with DNA and inhibiting transcription and translation, suggesting a new intracellular mechanism of AMP activity.

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http://dx.doi.org/10.1016/j.actbio.2024.12.002DOI Listing

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