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 both pathogens multiplication and host survival on batches of 96 samples.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Posted April 09, 2018.
A high-throughput technique to quantify pathogens’ virulence on the insect model Galleria mellonella
