Pengyu Chen , Tianmeng Zhang , Chunyuan Li , Praveen Praveen , Kathy Parisi , Chia Beh , Siyang Ding , John D. Wade , Yuning Hong , Sihui Li , Jackson Nkoh Nkoh , Andrew Hung , Wenyi Li , Chenjing Shang
{"title":"易聚集的抗菌肽靶向革兰氏阴性细菌的核酸和蛋白质合成。","authors":"Pengyu Chen , Tianmeng Zhang , Chunyuan Li , Praveen Praveen , Kathy Parisi , Chia Beh , Siyang Ding , John D. Wade , Yuning Hong , Sihui Li , Jackson Nkoh Nkoh , Andrew Hung , Wenyi Li , Chenjing Shang","doi":"10.1016/j.actbio.2024.12.002","DOIUrl":null,"url":null,"abstract":"<div><div>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. <em>Octopus bimaculoides</em>, a cephalopod species, lacks known AMP gene families, yet its protein fragments were used to predict AMPs <em>via</em> 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 <em>Escherichia coli</em> and <em>Staphylococcus aureus</em> by up to 90 %, confirmed by confocal laser scanning microscopy and scanning electron microscopy. It further aggregated plasmid DNA <em>in vitro</em>, 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 <em>in vitro</em>. 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.</div></div><div><h3>Statement of significance</h3><div>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 <em>Octopus bimaculoides</em>. 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 <em>E. coli</em> by aggregating with DNA and inhibiting transcription and translation, suggesting a new intracellular mechanism of AMP activity.</div></div>","PeriodicalId":237,"journal":{"name":"Acta Biomaterialia","volume":"192 ","pages":"Pages 446-460"},"PeriodicalIF":9.4000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Aggregation-prone antimicrobial peptides target gram-negative bacterial nucleic acids and protein synthesis\",\"authors\":\"Pengyu Chen , Tianmeng Zhang , Chunyuan Li , Praveen Praveen , Kathy Parisi , Chia Beh , Siyang Ding , John D. Wade , Yuning Hong , Sihui Li , Jackson Nkoh Nkoh , Andrew Hung , Wenyi Li , Chenjing Shang\",\"doi\":\"10.1016/j.actbio.2024.12.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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. <em>Octopus bimaculoides</em>, a cephalopod species, lacks known AMP gene families, yet its protein fragments were used to predict AMPs <em>via</em> 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 <em>Escherichia coli</em> and <em>Staphylococcus aureus</em> by up to 90 %, confirmed by confocal laser scanning microscopy and scanning electron microscopy. It further aggregated plasmid DNA <em>in vitro</em>, 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 <em>in vitro</em>. 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.</div></div><div><h3>Statement of significance</h3><div>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 <em>Octopus bimaculoides</em>. 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 <em>E. coli</em> by aggregating with DNA and inhibiting transcription and translation, suggesting a new intracellular mechanism of AMP activity.</div></div>\",\"PeriodicalId\":237,\"journal\":{\"name\":\"Acta Biomaterialia\",\"volume\":\"192 \",\"pages\":\"Pages 446-460\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Biomaterialia\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1742706124007141\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Biomaterialia","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1742706124007141","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Aggregation-prone antimicrobial peptides target gram-negative bacterial nucleic acids and protein synthesis
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.
期刊介绍:
Acta Biomaterialia is a monthly peer-reviewed scientific journal published by Elsevier. The journal was established in January 2005. The editor-in-chief is W.R. Wagner (University of Pittsburgh). The journal covers research in biomaterials science, including the interrelationship of biomaterial structure and function from macroscale to nanoscale. Topical coverage includes biomedical and biocompatible materials.