Positive correlations in susceptibility to a diverse panel of viruses across Drosophilidae host species

Our ability to predict the emergence of novel viruses relies on there being generalizable patterns in the susceptibilities of hosts to novel infections. Studies investigating variation in susceptibility among host species have consistently shown that closely related hosts share similar susceptibilities to a given virus. However, the extent to which such phylogenetic patterns of susceptibility are correlated among diverse sets of viruses is unclear. Here, we investigate phylogenetic correlations in susceptibility among <i>Drosophilidae</i> hosts to a panel of 11 different invertebrate viruses, comprising 7 unique virus species, 6 unique families, and both RNA and DNA viruses. The susceptibility of hosts to each pair of viruses tested was either positively correlated across host species or did not show evidence of correlation. No negative correlations, indicative of evolutionary trade-offs in host susceptibility to different viruses, were detected between any virus pairs. The strength of correlations was generally higher in viruses of the same species and family, consistent with virus phylogenetic patterns in host infectivity. Our results suggest that generalized host susceptibility can result in positive correlations, even between highly diverged viruses, while specialized interactions with individual viruses cause a stepwise decrease in correlation strength between viruses from the within-species, to the within-family, and to the across-family level.

Authors

Institutions

Publication Details

Journal
Evolution Letters
Published
2025-02-05
DOI
https://doi.org/10.1093/evlett/qraf002
Citations
2
Primary Topic
Insect symbiosis and bacterial influences
Type
article
Field-Weighted Citation Impact
3.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Positive correlations in susceptibility to a diverse panel of viruses across Drosophilidae host species

Ryan M. Imrie, Megan A. Wallace, Ben Longdon
2 citations
Evolution Letters
Insect symbiosis and bacterial influences
3.34
article

Positive correlations in susceptibility to a diverse panel of viruses across Drosophilidae host species

Ryan M. Imrie, Megan A. Wallace, Ben Longdon
article en
2 citations

Abstract

Our ability to predict the emergence of novel viruses relies on there being generalizable patterns in the susceptibilities of hosts to novel infections. Studies investigating variation in susceptibility among host species have consistently shown that closely related hosts share similar susceptibilities to a given virus. However, the extent to which such phylogenetic patterns of susceptibility are correlated among diverse sets of viruses is unclear. Here, we investigate phylogenetic correlations in susceptibility among <i>Drosophilidae</i> hosts to a panel of 11 different invertebrate viruses, comprising 7 unique virus species, 6 unique families, and both RNA and DNA viruses. The susceptibility of hosts to each pair of viruses tested was either positively correlated across host species or did not show evidence of correlation. No negative correlations, indicative of evolutionary trade-offs in host susceptibility to different viruses, were detected between any virus pairs. The strength of correlations was generally higher in viruses of the same species and family, consistent with virus phylogenetic patterns in host infectivity. Our results suggest that generalized host susceptibility can result in positive correlations, even between highly diverged viruses, while specialized interactions with individual viruses cause a stepwise decrease in correlation strength between viruses from the within-species, to the within-family, and to the across-family level.

Evolution LettersVol. 9(3)
University of Exeter (GB)
Wellcome, Wellcome Trust
Life in Land
Openalex Percentile: Top 11%
Insect symbiosis and bacterial influences
3.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.