Measure Twice, Cut Once:
Quantifying Biases in Sexual Selection Studies
By Claire Asher, on 25 June 2014
Bateman’s principles are conceptually quite simple, but form the basis of our understanding of sexual selection across the animal kingdom. First proposed in 1948, Bateman’s three principles posit that sexual selection is more intense in males than in females for three reasons:
1) males show more variability in the number of mates they have (mating success);
2) males show more variability in the number of offspring they have (reproductive success);
3) the slope of the relationship between mating and reproductive success is steeper in males;
Together, this summarises our basic view of sexual selection in the majority of sexually reproducing species – males that do well, do very well and we expect more intense sexual selection because of it.
Traditionally, most studies investigating these relationships have measured mating success by counting the number of females a male produces offspring with. This method is biased though, as it assumes that every mating results in offspring, which is unlikely to be true. Further, it assumes that every fertilisation produces an offspring, which ignores cases where embryos die before birth. Using offspring counts as a way to measure mating success might not be accurate but it is certainly more practical – behavioural observations of actual mating would be very time consuming and nearly impossible for some species. However, until now no study has attempted to quantify the importance of these biases in calculating and testing Bateman’s principles.
To address this issue, GEE researchers Dr Julie Collet and Dr Rebecca Dean, in collaboration with researchers at the University of Oxford, University of Queensland, Uppsala University and the University of East Anglia, investigated mating and reproductive success in Red Junglefowl (Gallus gallus). They recorded matings and collected all eggs laid from 13 groupings of 3 males and 4 females (mimicking natural conditions). They began by using classic techniques to estimate Bateman’s gradients – they inferred mating success from the number of females they sired an offspring with. They found twice as much variability in male mating success, and four times as much variance in male reproductive success (the actual number of offspring a male produced) compared with females. Mating success and reproductive success were strongly related – differences between individuals in mating success explained 57% of variance in reproductive success in males, but only 24% in females, and the slope of the relationship was steeper in males.
Reproductive success is not just a product of how many mates you have. The fecundity of your mate is also a crucial factor, and in species where females mate with multiple males, your share of her offspring is also a key variable. The authors investigated whether these variables tend to be related and whether multivariate analyses that take them all into account better explain the overall reproductive success of a male. Their multivariate model explained the variance in male mating success better than the standard approach and found that mating success, paternity share and mate fecundity together are responsible for the variance in male reproductive success. The authors estimate that by ignoring these other factors, other studies may overestimate the Bateman gradient by as much as 150%!
This study shows the importance of investigating the biases we introduce into our science. These biases may sometimes be inevitable, if excluding them is extremely time consuming or difficult. But we must try to understand the influence of these biases in order to draw informed conclusions from our data. Here, GEE researchers demonstrate how using biased measures of mating success can cause scientists to overestimate the opportunity for sexual selection on males. This effect is likely to be largest for species which have small clutch sizes and in which sperm competition plays a key role. Where possible, studies investigating sexual selection should include accurate measures of mating success, and include other variables such as paternity share and mate fecundity in a multivariate approach in order to best understand Bateman’s principles and the relationship between mating and reproductive success in both sexes.
This research was made possible by funding from the Natural Environment Research Council (NERC), the Biotechnology and Biological Sciences Research Council (BBSRC) and Marie Curie Action.