Christopher M R Axline, Travis J Kochan, Sophie Nozick, Timothy Ward, Tania Afzal, Issay Niki, Sumitra D Mitra, Ethan VanGosen, Julia Nelson, Aliki Valdes, David Hynes, William Cheng, Joanne Lee, Prarthana Prashanth, Timothy L Turner, Nathan B Pincus, Marc H Scheetz, Kelly E R Bachta, Alan R Hauser
{"title":"改良铜绿假单胞菌毒力定量方法。","authors":"Christopher M R Axline, Travis J Kochan, Sophie Nozick, Timothy Ward, Tania Afzal, Issay Niki, Sumitra D Mitra, Ethan VanGosen, Julia Nelson, Aliki Valdes, David Hynes, William Cheng, Joanne Lee, Prarthana Prashanth, Timothy L Turner, Nathan B Pincus, Marc H Scheetz, Kelly E R Bachta, Alan R Hauser","doi":"10.1128/spectrum.01666-24","DOIUrl":null,"url":null,"abstract":"<p><p>Larvae of <i>Galleria mellonella</i> (the greater wax moth) are being increasingly used as a model to study microbial pathogenesis. In this model, bacterial virulence is typically measured by determining the 50% lethal dose (LD<sub>50</sub>) of a bacterial strain or mutant. The use of <i>G. mellonella</i> to study <i>Pseudomonas aeruginosa</i> pathogenesis, however, is challenging because of the extreme sensitivity of larvae to this bacterium. For some <i>P. aeruginosa</i> strains, as few as 1-5 colony-forming units are sufficient to kill <i>G. mellonella,</i> which poses challenges for determining LD<sub>50</sub> values. For this reason, some groups have used time-to-death as a measure of <i>P. aeruginosa</i> virulence, but methodologies have not been standardized. We provide a detailed protocol for using the time at which 50% of larvae have died (LT<sub>50</sub>) at a particular inoculum as a measure of <i>P. aeruginosa</i> virulence. We also describe a quality control metric for enhancing the reproducibility of LT<sub>50</sub> values. This approach provides an accurate and reproducible methodology for using <i>G. mellonella</i> larvae to measure and compare the virulence of <i>P. aeruginosa</i> strains.IMPORTANCE<i>Pseudomonas aeruginosa</i> is a significant cause of morbidity and mortality. The invertebrate <i>Galleria mellonella</i> is used as a model to determine the virulence of <i>P. aeruginosa</i> strains. We provide a protocol and analytical approach for using a time-to-death metric to accurately quantify the virulence of <i>P. aeruginosa</i> strains in <i>G. mellonella</i> larvae. This methodology, which has several advantages over 50% lethal dose approaches, is a useful resource for the study of <i>P. aeruginosa</i> pathogenicity.</p>","PeriodicalId":18670,"journal":{"name":"Microbiology spectrum","volume":" ","pages":"e0166624"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792518/pdf/","citationCount":"0","resultStr":"{\"title\":\"Refined methodology for quantifying <i>Pseudomonas aeruginosa</i> virulence using <i>Galleria mellonella</i>.\",\"authors\":\"Christopher M R Axline, Travis J Kochan, Sophie Nozick, Timothy Ward, Tania Afzal, Issay Niki, Sumitra D Mitra, Ethan VanGosen, Julia Nelson, Aliki Valdes, David Hynes, William Cheng, Joanne Lee, Prarthana Prashanth, Timothy L Turner, Nathan B Pincus, Marc H Scheetz, Kelly E R Bachta, Alan R Hauser\",\"doi\":\"10.1128/spectrum.01666-24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Larvae of <i>Galleria mellonella</i> (the greater wax moth) are being increasingly used as a model to study microbial pathogenesis. In this model, bacterial virulence is typically measured by determining the 50% lethal dose (LD<sub>50</sub>) of a bacterial strain or mutant. The use of <i>G. mellonella</i> to study <i>Pseudomonas aeruginosa</i> pathogenesis, however, is challenging because of the extreme sensitivity of larvae to this bacterium. For some <i>P. aeruginosa</i> strains, as few as 1-5 colony-forming units are sufficient to kill <i>G. mellonella,</i> which poses challenges for determining LD<sub>50</sub> values. For this reason, some groups have used time-to-death as a measure of <i>P. aeruginosa</i> virulence, but methodologies have not been standardized. We provide a detailed protocol for using the time at which 50% of larvae have died (LT<sub>50</sub>) at a particular inoculum as a measure of <i>P. aeruginosa</i> virulence. We also describe a quality control metric for enhancing the reproducibility of LT<sub>50</sub> values. This approach provides an accurate and reproducible methodology for using <i>G. mellonella</i> larvae to measure and compare the virulence of <i>P. aeruginosa</i> strains.IMPORTANCE<i>Pseudomonas aeruginosa</i> is a significant cause of morbidity and mortality. The invertebrate <i>Galleria mellonella</i> is used as a model to determine the virulence of <i>P. aeruginosa</i> strains. We provide a protocol and analytical approach for using a time-to-death metric to accurately quantify the virulence of <i>P. aeruginosa</i> strains in <i>G. mellonella</i> larvae. This methodology, which has several advantages over 50% lethal dose approaches, is a useful resource for the study of <i>P. aeruginosa</i> pathogenicity.</p>\",\"PeriodicalId\":18670,\"journal\":{\"name\":\"Microbiology spectrum\",\"volume\":\" \",\"pages\":\"e0166624\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792518/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microbiology spectrum\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1128/spectrum.01666-24\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbiology spectrum","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1128/spectrum.01666-24","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
Refined methodology for quantifying Pseudomonas aeruginosa virulence using Galleria mellonella.
Larvae of Galleria mellonella (the greater wax moth) are being increasingly used as a model to study microbial pathogenesis. In this model, bacterial virulence is typically measured by determining the 50% lethal dose (LD50) of a bacterial strain or mutant. The use of G. mellonella to study Pseudomonas aeruginosa pathogenesis, however, is challenging because of the extreme sensitivity of larvae to this bacterium. For some P. aeruginosa strains, as few as 1-5 colony-forming units are sufficient to kill G. mellonella, which poses challenges for determining LD50 values. For this reason, some groups have used time-to-death as a measure of P. aeruginosa virulence, but methodologies have not been standardized. We provide a detailed protocol for using the time at which 50% of larvae have died (LT50) at a particular inoculum as a measure of P. aeruginosa virulence. We also describe a quality control metric for enhancing the reproducibility of LT50 values. This approach provides an accurate and reproducible methodology for using G. mellonella larvae to measure and compare the virulence of P. aeruginosa strains.IMPORTANCEPseudomonas aeruginosa is a significant cause of morbidity and mortality. The invertebrate Galleria mellonella is used as a model to determine the virulence of P. aeruginosa strains. We provide a protocol and analytical approach for using a time-to-death metric to accurately quantify the virulence of P. aeruginosa strains in G. mellonella larvae. This methodology, which has several advantages over 50% lethal dose approaches, is a useful resource for the study of P. aeruginosa pathogenicity.
期刊介绍:
Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.