Literature DB >> 26421320

Phage & phosphatase: a novel phage-based probe for rapid, multi-platform detection of bacteria.

S D Alcaine1, D Pacitto2, D A Sela3, S R Nugen3.   

Abstract

Genetic engineering of bacteriophages allows for the development of rapid, highly specific, and easily manufactured probes for the detection of bacterial pathogens. A challenge for novel probes is the ease of their adoption in real world laboratories. We have engineered the bacteriophage T7, which targets Escherichia coli, to carry the alkaline phosphatase gene, phoA. This inclusion results in phoA overexpression following phage infection of E. coli. Alkaline phosphatase is commonly used in a wide range of diagnostics, and thus a signal produced by our phage-based probe could be detected using common laboratory equipment. Our work demonstrates the successful: (i) modification of T7 phage to carry phoA; (ii) overexpression of alkaline phosphatase in E. coli; and (iii) detection of this T7-induced alkaline phosphatase activity using commercially available colorimetric and chemilumiscent methods. Furthermore, we demonstrate the application of our phage-based probe to rapidly detect low levels of bacteria and discern the antibiotic resistance of E. coli isolates. Using our bioengineered phage-based probe we were able to detect 10(3) CFU per mL of E. coli in 6 hours using a chemiluminescent substrate and 10(4) CFU per mL within 7.5 hours using a colorimetric substrate. We also show the application of this phage-based probe for antibiotic resistance testing. We were able to determine whether an E. coli isolate was resistant to ampicillin within 4.5 hours using chemiluminescent substrate and within 6 hours using a colorimetric substrate. This phage-based scheme could be readily adopted in labs without significant capital investments and can be translated to other phage-bacteria pairs for further detection.

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Year:  2015        PMID: 26421320     DOI: 10.1039/c5an01181g

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  8 in total

1.  Engineering bacteriophage for a pragmatic low-resource setting bacterial diagnostic platform.

Authors:  Joey N Talbert; Samuel D Alcaine; Sam R Nugen
Journal:  Bioengineered       Date:  2016-05-31       Impact factor: 3.269

2.  Rapid, sensitive, and low-cost detection of Escherichia coli bacteria in contaminated water samples using a phage-based assay.

Authors:  Luis F Alonzo; Paras Jain; Troy Hinkley; Nick Clute-Reinig; Spencer Garing; Ethan Spencer; Van T T Dinh; David Bell; Sam Nugen; Kevin P Nichols; Anne-Laure M Le Ny
Journal:  Sci Rep       Date:  2022-05-11       Impact factor: 4.996

Review 3.  The Use of Bacteriophages in Biotechnology and Recent Insights into Proteomics.

Authors:  Ana G Abril; Mónica Carrera; Vicente Notario; Ángeles Sánchez-Pérez; Tomás G Villa
Journal:  Antibiotics (Basel)       Date:  2022-05-13

4.  Engineering Biorthogonal Phage-Based Nanobots for Ultrasensitive, In Situ Bacteria Detection.

Authors:  Hannah S Zurier; Michelle M Duong; Julie M Goddard; Sam R Nugen
Journal:  ACS Appl Bio Mater       Date:  2020-06-23

Review 5.  Integrating recognition elements with nanomaterials for bacteria sensing.

Authors:  Juhong Chen; Stephanie M Andler; Julie M Goddard; Sam R Nugen; Vincent M Rotello
Journal:  Chem Soc Rev       Date:  2017-03-06       Impact factor: 54.564

Review 6.  T7 Phage as an Emerging Nanobiomaterial with Genetically Tunable Target Specificity.

Authors:  Hui Yue; Yan Li; Mingying Yang; Chuanbin Mao
Journal:  Adv Sci (Weinh)       Date:  2021-12-16       Impact factor: 16.806

Review 7.  Methods for detection of viable foodborne pathogens: current state-of-art and future prospects.

Authors:  Antonio C G Foddai; Irene R Grant
Journal:  Appl Microbiol Biotechnol       Date:  2020-03-26       Impact factor: 4.813

Review 8.  Reporter Phage-Based Detection of Bacterial Pathogens: Design Guidelines and Recent Developments.

Authors:  Susanne Meile; Samuel Kilcher; Martin J Loessner; Matthew Dunne
Journal:  Viruses       Date:  2020-08-26       Impact factor: 5.048

  8 in total

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