Quantification of nisin concentration from fluorescence-based antimicrobial activity assay using Bayesian calibration.

Valentin Steier, Michael Osthege, Laura M Helleckes, Maximilian Siska, Eric von Lieres, Wolfgang Wiechert, Sebastian J Reich, Christian U Riedel, Marco Oldiges
Author Information
  1. Valentin Steier: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
  2. Michael Osthege: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
  3. Laura M Helleckes: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
  4. Maximilian Siska: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
  5. Eric von Lieres: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
  6. Wolfgang Wiechert: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
  7. Sebastian J Reich: Department of Biology, Ulm University, Ulm, Germany.
  8. Christian U Riedel: Department of Biology, Ulm University, Ulm, Germany.
  9. Marco Oldiges: Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany. ORCID

Abstract

Bacteriocins are ribosomally synthesized peptides with the innate ability to kill or inhibit growth of other bacteria. In recent years, bacteriocins have received increased interest, as their antimicrobial activity enhances food safety and shelf life by combatting pathogens such as Listeria monocytogenes. They also have application potential as an active pharmaceutical compound to combat multidrug-resistant pathogens. As new bacteriocins continue to be discovered, accelerated workflows for screening, identification, and process development have been developed. However, antimicrobial activity measurement is often still limited with regards to quantification and throughput. Here, we present the use of a non-linear calibration model to infer nisin concentrations in cultivation supernatants of Lactococcus lactis ssp. lactis B1629 using readouts of pHluorin2 fluorescence-based antimicrobial activity assays.

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Grants

  1. 031B0826A/German Federal Ministry of Education and Research
  2. 031B0826C/German Federal Ministry of Education and Research

MeSH Term

Nisin
Lactococcus lactis
Calibration
Bayes Theorem
Anti-Bacterial Agents
Fluorescence
Microbial Sensitivity Tests

Chemicals

Nisin
Anti-Bacterial Agents

Word Cloud

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