Related Experiment Video
Updated: May 25, 2025

Assessing Differences in Sperm Competitive Ability in Drosophila
Published on: August 22, 2013
Paternity analysis reveals sexual selection on cognitive performance in mosquitofish
Ivan M Vinogradov1, Rebecca J Fox2, Claudia Fichtel3
1Division of Ecology & Evolution, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia. ivan.vinogradov@anu.edu.au.
Abstract:
In many animal species, cognitive abilities are under strong natural selection because decisions about foraging, habitat choice and predator avoidance affect fecundity and survival. But how has sexual selection, which is usually stronger on males than females, shaped the evolution of cognitive abilities that influence success when competing for mates or fertilizations? We aimed to investigate potential links between individual differences in male cognitive performance to variation in paternity arising solely from sexual selection. We therefore ran four standard cognitive assays to quantify five measures of cognitive performance by male mosquitofish (Gambusia holbrooki). Males were then assigned to 11 outdoor ponds where they could compete for females. Females mate many times, which leads to intense sperm competition and broods with mixed paternity. We genotyped 2,430 offspring to identify their fathers. Males with greater inhibitory control and better spatial learning abilities sired significantly more offspring, while males with better initial impulse control sired significantly fewer offspring. Associative and reversal learning did not predict a male's share of paternity. In sum, there was sexual selection on several, but not all, aspects of male cognitive performance.
More Related Videos
Related Concept Videos
Mate Choice
Types of Selection
Natural Selection and Mating Preferences
Females, due to their biological roles in conception, pregnancy, and nursing,...
Frequency-dependent Selection
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...

