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Detection and Quantification of Mono-Rhamnolipids and Di-Rhamnolipids Produced by Pseudomonas aeruginosa
04:37

Detection and Quantification of Mono-Rhamnolipids and Di-Rhamnolipids Produced by Pseudomonas aeruginosa

Published on: March 29, 2024

Optimizing rhamnolipid biosynthesis: evaluating predictive methods using Pseudomonas aeruginosa mutants.

Ingrid Yoshimura1,2, Jonas Contiero2, Eric Déziel1

  • 1Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique (INRS), Laval, Quebec, Canada.

Applied and Environmental Microbiology
|June 3, 2026
PubMed
Summary

Traditional assays for rhamnolipid (RL) production in Pseudomonas aeruginosa are unreliable. Quantitative LC/MS analysis is crucial for accurate genetic screening, identifying key genes like rpoN and pvdQ for optimizing biosurfactant yields.

Keywords:
biosurfactantsliquid chromatography/mass spectrometryphenotypic assays

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Published on: January 8, 2020

Area of Science:

  • Microbiology
  • Biotechnology
  • Metabolic Engineering

Background:

  • Rhamnolipids (RLs) are biosurfactants with industrial applications, but high production costs hinder widespread use.
  • Genetic engineering strategies aim to improve RL yields, yet rely on often inaccurate qualitative assays.
  • Previous studies frequently used unreliable phenotypic methods for screening RL-producing mutants.

Purpose of the Study:

  • To systematically evaluate the reliability of traditional phenotypic assays for assessing RL production in *P. aeruginosa* mutants.
  • To compare traditional assays with quantitative liquid chromatography-mass spectrometry (LC/MS) for accurate strain screening.
  • To identify reliable genetic targets for metabolic engineering to enhance RL production.

Main Methods:

  • Generated 29 *P. aeruginosa* PA14 mutants with targeted gene knockouts.
  • Assessed RL production using traditional methods: Siegmund-Wagner blue plates and swarming motility assays.
  • Quantified RL titers and analyzed mutant phenotypes using liquid chromatography-mass spectrometry (LC/MS).

Main Results:

  • Traditional assays exhibited a high misprediction rate (~35-38%) due to confounding factors like motility and growth rate.
  • LC/MS revealed that *rpoN* and *pvdQ* knockouts significantly increased total RL titers.
  • *crc*, *dksA*, and *dspI* knockouts led to decreased RL production, with increased titers linked to biomass, not per-cell production.

Conclusions:

  • Qualitative phenotypic assays are insufficient for reliable screening of RL production mutants.
  • Quantitative LC/MS is essential for accurate assessment and identification of genetic targets in metabolic engineering.
  • This study clarifies the impact of specific genes (*rpoN*, *pvdQ*, *crc*, *dksA*, *dspI*) on RL production and provides a validated framework for future research.