Biological control of apple blue mold with Pseudomonas fluorescens

Hassan-Reza Etebarian1, Peter L Sholberg, Kenneth C Eastwell

  • 1Pacific Agri-Food Research Centre, Agriculture and Agri-Food Canada, Canada.

Insights

Pseudomonas fluorescens isolate 1100-6 effectively controls apple blue mold caused by Penicillium species. This biological control agent, even when modified with green fluorescent protein (GFP), significantly reduces fruit decay and exhibits strong antagonistic activity.

Area of Science:

  • Agricultural Science
  • Microbiology
  • Plant Pathology

Background:

  • Apple blue mold, caused by Penicillium expansum and Penicillium solitum, is a significant post-harvest disease.
  • Biological control using beneficial microorganisms offers a sustainable alternative to synthetic fungicides.

Purpose of the Study:

  • To evaluate Pseudomonas fluorescens isolate 1100-6 as a biological control agent against apple blue mold.
  • To compare the efficacy of wild-type and genetically modified (GFP-labeled) P. fluorescens.

Main Methods:

  • Dual culture plate assays to assess inhibition zones.
  • Application of cell-free metabolites to quantify reduction in Penicillium colony area.
  • In vivo testing on apples to determine reduction in decay severity and incidence.
  • Monitoring of P. fluorescens populations using green fluorescent protein (GFP) labeling.

Main Results:

  • P. fluorescens isolate 1100-6, with or without GFP, significantly inhibited Penicillium spp. growth and reduced apple decay.
  • Cell-free metabolites reduced Penicillium colony area by up to 78.5%.
  • Iron chelate had no major impact on the antagonistic activity of P. fluorescens.
  • P. fluorescens populations increased in apple wounds over time, with limited deep penetration observed.

Conclusions:

  • P. fluorescens isolate 1100-6 demonstrates significant potential as a biological control agent for apple blue mold.
  • The use of GFP labeling is a viable tool for tracking biocontrol agent populations.
  • Further research may optimize application strategies for enhanced efficacy.