AI Article Synopsis

  • The study combines spectrophotometry with a new statistical method to assess the virulence of bacteria, using Galleria mellonella (wax moth larva) as a model host.
  • This approach enables automated survival data collection from up to 96 samples at once, making the process efficient.
  • Additionally, it allows for tracking the growth of pathogens if genetically modified bacteria with GFP (green fluorescent protein) are utilized.

Article Abstract

We combined spectrophotometry and an original statistical approach to infer bacteria virulence, using the lepidoptera Galleria mellonella as a host model. With this method, it is possible to use a microplate reader to automatize data collection on host survival on batches of 96 samples. The method also allows measurement of pathogen multiplication if GFP labelled bacterial strains are used.

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http://dx.doi.org/10.1016/j.mimet.2018.07.013DOI Listing

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