| Literature DB >> 22253916 |
Damian K Dowling1, Leigh W Simmons.
Abstract
Trade-offs between investment into male sexual traits and immune function provide the foundation for some of the most prominent models of sexual selection. Post-copulatory sexual selection on the male ejaculate is intense, and therefore trade-offs should occur between investment into the ejaculate and the immune system. Examples of such trade-offs exist, including that between sperm quality and immunity in the Australian cricket, Teleogryllus oceanicus. Here, we explore the dynamics of this trade-off, examining the effects that increased levels of sexual interaction have on the viability of a male's sperm across time, and the concomitant effects on immune function. Males were assigned to a treatment, whereby they cohabited with females that were sexually immature, sexually mature but incapable of copulation, or sexually mature and capable of copulation. Sperm viability of each male was then assessed at two time points: six and 13 days into the treatment, and immune function at day 13. Sperm viability decreased across the time points, but only for males exposed to treatment classes involving sexually mature females. This decrease was similar in magnitude across both sexually mature classes, indicating that costs to the expression of high sperm viability are incurred largely through levels of pre-copulatory investment. Males exposed to immature females produced sperm of low viability at both time points. Although we confirmed a weak negative association between sperm viability and lytic activity (a measure of immune response to bacterial infection) at day 13, this relationship was not altered across the mating treatment. Our results highlight that sperm viability is a labile trait, costly to produce, and subject to strategic allocation in these crickets.Entities:
Mesh:
Year: 2012 PMID: 22253916 PMCID: PMC3256214 DOI: 10.1371/journal.pone.0030172
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Pearson correlation matrix of the immune parameters.
| Lytic activity | Protein | Lifespan | |
| Lytic activity | 1 | ||
| Protein | −0.129 | 1 | |
| Lifespan |
| 0.092 | 1 |
Pairwise comparisons that are significant at a = 0.05, following Bonferroni correction, are emboldened.
Repeated measures General Linear Model examining the cost of mating on sperm viability and covarying immune parameters.
| Between subjects | |||
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| Treatment | 2 | 1.176 | 0.314 |
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| Days as adult | 5 | 1.531 | 0.189 |
| Lifespan after challenge | 1 | 0.110 | 0.741 |
| Lytic activity | 1 | 0.045 | 0.832 |
| Protein | 1 | 1.307 | 0.256 |
| Error | 86 | ||
General Linear Repeated Measures Model. Final model, where response variable is Sperm Viability (arcsine transformed), Sampling Day of sperm viability (day 6 and 13) is the repeated term, and all other variables are fixed effects or variates.
Figure 1Age-dependent change in sperm viability across treatment classes.
Each panel (a–c) denotes sperm viability (LS mean ±1 standard error) of males at day six and 13 of the experiment; a = males assigned to sexually deprived class, b = males assigned to courtship class, c = males assigned to courtship and mating class. Sample sizes per group are indicated above the bars.