Intraspecific genetic variation in host vigour, viral load, and disease tolerance during Drosophila C Virus infection

Megan Kutzer, Vanika Gupta, Kyriaki Neofytou, Vincent Doublet, Katy M Montieth, Pedro Vale

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Genetic variation for resistance and disease tolerance has been described in a range of species. In Drosophila melanogaster, genetic variation in mortality following systemic Drosophila C virus (DCV) infection is driven by large-effect polymorphisms in the restriction factor pastrel (pst). However, it is unclear if pst contributes to disease tolerance. We investigated systemic DCV challenges spanning nine orders of magnitude, in males and females of 10 Drosophila Genetic Reference Panel lines carrying either a susceptible (S) or resistant (R) pst allele. We find among-line variation in fly survival, viral load and disease tolerance measured both as the ability to maintain survival (mortality tolerance) and reproduction (fecundity tolerance). We further uncover novel effects of pst on host vigour, as flies carrying the R allele exhibited higher survival and fecundity even in the absence of infection. Finally, we found significant genetic variation in the expression of the JAK-STAT ligand upd3 and the epigenetic regulator of JAK-STAT G9a. However, while G9a has been previously shown to mediate tolerance of DCV infection, we found no correlation between the expression of either upd3 or G9a on fly tolerance or resistance. Our work highlights the importance of both resistance and tolerance in viral defence.

Original languageEnglish
Article number230025
JournalOpen Biology
Issue number3
Publication statusPublished - 1 Mar 2023

Keywords / Materials (for Non-textual outputs)

  • Drosophila C virus
  • resistance
  • tolerance
  • viral infection


Dive into the research topics of 'Intraspecific genetic variation in host vigour, viral load, and disease tolerance during Drosophila C Virus infection'. Together they form a unique fingerprint.

Cite this