Academic Journal

Computational Basis for On-Demand Production of Diversified Therapeutic Phage Cocktails

التفاصيل البيبلوغرافية
العنوان: Computational Basis for On-Demand Production of Diversified Therapeutic Phage Cocktails
المؤلفون: Catherine M. Mageeney, Anupama Sinha, Richard A. Mosesso, Douglas L. Medlin, Britney Y. Lau, Alecia B. Rokes, Todd W. Lane, Steven S. Branda, Kelly P. Williams
المصدر: mSystems, Vol 5, Iss 4 (2020)
بيانات النشر: American Society for Microbiology, 2020.
سنة النشر: 2020
المجموعة: LCC:Microbiology
مصطلحات موضوعية: Pseudomonas aeruginosa, bioinformatics, phage therapy, Microbiology, QR1-502
الوصف: ABSTRACT New therapies are necessary to combat increasingly antibiotic-resistant bacterial pathogens. We have developed a technology platform of computational, molecular biology, and microbiology tools which together enable on-demand production of phages that target virtually any given bacterial isolate. Two complementary computational tools that identify and precisely map prophages and other integrative genetic elements in bacterial genomes are used to identify prophage-laden bacteria that are close relatives of the target strain. Phage genomes are engineered to disable lysogeny, through use of long amplicon PCR and Gibson assembly. Finally, the engineered phage genomes are introduced into host bacteria for phage production. As an initial demonstration, we used this approach to produce a phage cocktail against the opportunistic pathogen Pseudomonas aeruginosa PAO1. Two prophage-laden P. aeruginosa strains closely related to PAO1 were identified, ATCC 39324 and ATCC 27853. Deep sequencing revealed that mitomycin C treatment of these strains induced seven phages that grow on P. aeruginosa PAO1. The most diverse five phages were engineered for nonlysogeny by deleting the integrase gene (int), which is readily identifiable and typically conveniently located at one end of the prophage. The Δint phages, individually and in cocktails, killed P. aeruginosa PAO1 in liquid culture as well as in a waxworm (Galleria mellonella) model of infection. IMPORTANCE The antibiotic resistance crisis has led to renewed interest in phage therapy as an alternative means of treating infection. However, conventional methods for isolating pathogen-specific phage are slow, labor-intensive, and frequently unsuccessful. We have demonstrated that computationally identified prophages carried by near-neighbor bacteria can serve as starting material for production of engineered phages that kill the target pathogen. Our approach and technology platform offer new opportunity for rapid development of phage therapies against most, if not all, bacterial pathogens, a foundational advance for use of phage in treating infectious disease.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2379-5077
Relation: https://doaj.org/toc/2379-5077
DOI: 10.1128/mSystems.00659-20
URL الوصول: https://doaj.org/article/80713451e65d4d25823da5413ce5152f
رقم الانضمام: edsdoj.80713451e65d4d25823da5413ce5152f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23795077
DOI:10.1128/mSystems.00659-20