Mating and Male pheromone kill Caenorhabditis males through distinct mechanisms
Abstract
Differences in longevity between sexes is a mysterious yet general phenomenon across great evolutionary distances. To test the roles of responses to environmental cues and sexual behaviors in longevity regulation, we examined Caenorhabditis male lifespan under solitary, grouped, and mated conditions. We find that neurons and the germline are required for male pheromone-dependent male death. Hermaphrodites with a masculinized nervous system secrete male pheromone and are susceptible to male pheromone killing. Male pheromone-mediated killing is unique to androdioecious Caenorhabditis, and may reduce the number of males in hermaphroditic populations; neither males nor females of gonochoristic species are susceptible to male pheromone killing. By contrast, mating-induced death, which is characterized by germline-dependent shrinking, glycogen loss, and ectopic vitellogenin expression, utilizes distinct molecular pathways and is shared between the sexes and across species. The study of sex- and species-specific regulation of aging reveals deeply conserved mechanisms of longevity and population structure regulation.
Article and author information
Author details
Funding
Glenn Foundation for Medical Research (NA)
- Cheng Shi
- Coleen T Murphy
National Institutes of Health (DP1 GM119167-02)
- Cheng Shi
- Alexi M Runnels
- Coleen T Murphy
Howard Hughes Medical Institute (Faculty Scholars Award)
- Coleen T Murphy
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Andrew Dillin, Howard Hughes Medical Institute, University of California, Berkeley, United States
Version history
- Received: November 19, 2016
- Accepted: March 4, 2017
- Accepted Manuscript published: March 14, 2017 (version 1)
- Accepted Manuscript updated: March 16, 2017 (version 2)
- Version of Record published: April 3, 2017 (version 3)
Copyright
© 2017, Shi et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 3,733
- views
-
- 654
- downloads
-
- 49
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.