Absence of reproduction-immunity trade-off in male Drosophila melanogaster evolving under differential sexual selection

Autor: Zeeshan Ali Syed, Vanika Gupta, Manas Geeta Arun, Aatashi Dhiman, Bodhisatta Nandy, Nagaraj Guru Prasad
Rok vydání: 2019
DOI: 10.21203/rs.2.16113/v2
Popis: Background: The theory of trade-off suggests that limited resources should lead to trade-off in resource intensive traits such as, immunity related and sexually selected traits in males. Alternatively, sexual exaggerations can also act as an honest indicator of underlying immunocompetence, leading to positive correlations between these traits. Evidences in support of either hypothesis in invertebrates is equivocal. Whereas several studies have addressed this question, few have used naturally occurring pathogens and realized post infection realized immunity (e.g., survivorship) to assay the fitness correlations between these two sets of traits. Results: Adopting an experimental evolution approach, we evolved replicate populations of Drosophila melanogaster under (high and low) sexual selection regimes for over a hundred generations and found the following in virgin and mated males in three separate assays: a. Post infection survivorship against two natural pathogens - Pseudomonas entomophila (Pe) and Staphylococcus succinus (Ss): Mated males survived better against Pe, but were no different than virgins against Ss. b. Bacterial clearance ability against a third natural pathogen Providencia rettgeri (Pr): Mated males had significantly lower CFUs than virgins. However, sexual selection history had no effect on realized immunity of either virgin or mated males. Conclusion: We show that while mating can affect realized immunity in a pathogen specific way, sexual selection did not affect the same. The results highlight that complex polygenic traits such as immunity and reproductive traits not necessarily evolve following a binary trade-off model. We also stress the importance natural pathogens while studying sexual selection-immunity correlations.
Databáze: OpenAIRE