Establishing Galleria mellonella as an invertebrate model for the emerging multi-host pathogen Helcococcus ovis

Virulence. 2023 Dec;14(1):2186377. doi: 10.1080/21505594.2023.2186377.

Abstract

Helcococcus ovis (H. ovis) can cause disease in a broad range of animal hosts, including humans, and has been described as an emerging bacterial pathogen in bovine metritis, mastitis, and endocarditis. In this study, we developed an infection model that showed H. ovis can proliferate in the hemolymph and induce dose-dependent mortality in the invertebrate model organism Galleria mellonella (G. mellonella). We applied the model and identified H. ovis isolates with attenuated virulence originating from the uterus of a healthy post-partum dairy cow (KG38) and hypervirulent isolates (KG37, KG106) originating from the uterus of cows with metritis. Medium virulence isolates were also isolated (KG36, KG104) from the uterus of cows with metritis. A major advantage of this model is that a clear differentiation in induced mortality between H. ovis isolates was detected in just 48 h, resulting in an effective infection model able to identify virulence differences between H. ovis isolates with a short turnaround time. Histopathology showed G. mellonella employs hemocyte-mediated immune responses to H. ovis infection, which are analogous to the innate immune response in cows. In summary, G. mellonella can be used as an invertebrate infection model for the emerging multi-host pathogen Helcococcus ovis.

Keywords: Galleria mellonella; Helcococcus ovis; histology; infection model; infectious disease; metritis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Bacteria
  • Cattle
  • Disease Models, Animal
  • Female
  • Firmicutes
  • Humans
  • Larva / microbiology
  • Moths* / microbiology
  • Uterus

Supplementary concepts

  • Helcococcus ovis

Grants and funding

This project was supported by the USDA-NIFA-AFRI program (Grant # 2019-67015-29836, Accession # 1019435) and CVM Research Competitive Award (Grant # FLA-VME- 00129263).