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Related Concept Videos

Microbial Biosensors01:17

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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Atypical pneumonia, often caused by Mycoplasma pneumoniae, is a form of pulmonary infection that differs from the classical presentation of bacterial pneumonia in both its cause and clinical symptoms. Mycoplasma pneumoniae is a pleomorphic bacterium notable for its lack of a rigid cell wall. This structural characteristic imparts resistance to beta-lactam antibiotics and significantly influences the bacterium’s behavior within the human host.Other pathogens responsible for the disease...
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Identifying Pathoadaptation in Pseudomonas aeruginosa Using Glycopolymer Sensor Arrays.

Callum Johnson1, Kathryn G Leslie1, Sara Franco Ortega2

  • 1Department of Chemistry, Durham University, Durham DH1 3LE, U.K.

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A novel fluorescent sensor array detects bacterial evolution in Pseudomonas aeruginosa infections. This rapid diagnostic tool identifies phenotypic changes, aiding treatment decisions for complex lung infections.

Keywords:
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Area of Science:

  • Microbiology and Infectious Diseases
  • Biotechnology and Sensor Development
  • Evolutionary Biology

Background:

  • In-host bacterial evolution, including antibiotic resistance and virulence changes, complicates infection management.
  • Pseudomonas aeruginosa rapidly evolves during chronic lung infections, posing diagnostic and therapeutic challenges.
  • Current methods for bacterial strain typing are time-consuming and expensive, hindering the identification of clinically relevant pathotypes.

Purpose of the Study:

  • To develop a rapid, direct method for identifying phenotypic changes in P. aeruginosa associated with in-host evolution.
  • To create a sensor array capable of distinguishing between different evolutionary trajectories and pathoadaptive states of P. aeruginosa.
  • To assess the sensor array's ability to differentiate P. aeruginosa from other bacteria in polymicrobial infections.

Main Methods:

  • Development of a cross-reactive, glycopolymer-based fluorescent sensor array.
  • Direct detection of phenotypic variations in P. aeruginosa isolates.
  • Discrimination of clinical isolates based on evolutionary and pathoadaptive differences.
  • Testing the sensor array's specificity against other common lung pathogens.

Main Results:

  • The sensor array accurately identified phenotypic changes linked to in-host evolution in P. aeruginosa.
  • The system successfully distinguished variations from single-gene defects and differentiated clinical isolates with distinct evolutionary histories.
  • The sensor array could differentiate P. aeruginosa from other bacterial species in polymicrobial samples.
  • The platform demonstrated modularity for targeting carbohydrate recognition in diverse pathogens.

Conclusions:

  • A glycopolymer-based fluorescent sensor array offers a rapid method for classifying P. aeruginosa phenotypic profiles.
  • This technology can directly assess in-host bacterial evolution, bypassing genetic analysis.
  • The sensor array platform has potential as a rapid diagnostic tool to guide clinical treatment decisions for P. aeruginosa infections.