RRC ID 84961
著者 Chen P, Zhang T, Li C, Praveen P, Parisi K, Beh C, Ding S, Wade JD, Hong Y, Li S, Nkoh JN, Hung A, Li W, Shang C.
タイトル Aggregation-prone antimicrobial peptides target gram-negative bacterial nucleic acids and protein synthesis.
ジャーナル Acta Biomater
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.
巻・号 192
ページ 446-460
公開日 2025-1-15
DOI 10.1016/j.actbio.2024.12.002
PII S1742-7061(24)00714-1
PMID 39637960
MeSH Animals Anti-Bacterial Agents / chemistry Anti-Bacterial Agents / pharmacology Antimicrobial Cationic Peptides* / chemistry Antimicrobial Cationic Peptides* / pharmacology Antimicrobial Peptides* / chemistry Antimicrobial Peptides* / pharmacology DNA, Bacterial* / biosynthesis DNA, Bacterial* / metabolism Escherichia coli* / drug effects Escherichia coli* / metabolism Microbial Sensitivity Tests Molecular Dynamics Simulation Octopodiformes Protein Biosynthesis* / drug effects Staphylococcus aureus* / drug effects Staphylococcus aureus* / metabolism
IF 7.242
リソース情報
原核生物(大腸菌) JW0368-KC JW2203-KC JW0912-KC