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Published July 3, 2023 | Version v1
Dataset Open

Data from: Negative interactions and virulence differences drive the dynamics in multispecies bacterial infections

  • 1. University of Zurich

Description

Bacterial infections are often polymicrobial, leading to intricate pathogen-pathogen and pathogen-host interactions. There is increasing interest in studying the molecular basis of pathogen interactions and how such mechanisms impact host morbidity. However, much less is known about the ecological dynamics between pathogens and how they affect virulence and host survival. Here we address these open issues by co-infecting larvae of the insect model host Galleria mellonella with one, two, three, or four bacterial species, all of which are opportunistic human pathogens. We found that host mortality was always determined by the most virulent species regardless of the number of species and pathogen combinations injected. In certain combinations, the more virulent pathogen simply outgrew the less virulent pathogen. In other combinations, we found evidence for negative interactions between pathogens inside the host, whereby the more virulent pathogen typically won a competition. Taken together, our findings reveal positive associations between a pathogen's growth inside the host, its competitiveness towards other pathogens, and its virulence. Beyond being generalizable across species combinations, our findings predict that treatments against polymicrobial infections should first target the most virulent species to reduce host morbidity, a prediction we validated experimentally.

Notes

Funding provided by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001711
Award Number: 31003A_182499

Funding provided by: Novartis Stiftung für Medizinisch-Biologische Forschung
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004784
Award Number:

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README_Schmitz_MultispeciesBacterialInfections_Data_2023.md