Evolution of Sex is a NetLogo model that illustrates the advantages and disadvantages of sexual and asexual reproductive strategies. It seeks to demonstrate the answer to the question:
“Why do we have sex?”
After all, wouldn’t it be a better strategy to simply clone yourself? There are many advantages to asexual reproduction:
- Your offspring possess all of your own genetic material.
- You get to make a copy of 100% of your genes.
- You don’t have to worry about finding a mate.
Conversely, there are many disadvantages to sexual reproduction:
- You have to share your genetic material with an unrelated individual.
- You get to make a copy of only 50% of your genes.
- You have to expend time and energy looking for and obtaining a mate.
From this, it may seem like sexual reproduction is an evolutionary puzzle as it appears too costly to ever be advantageous. However, as this model shows, under certain conditions, a sexual reproductive strategy can win out over an asexual strategy. By introducing parasites to the environment, it creates a selective pressure that makes it more advantageous NOT to simply make a clone of yourself! The reason is simple: if a parasite can infect you, it can also infect all of your clones. However, if your offspring only obtain 50% of their genetic material from you, they are less likely to be susceptible to the same parasite that can infect you. Sexual reproducers are able to mix their genetic material in ways that produce new combinations that parasites have not yet evolved to attack. In short, in the arms race between the hosts and the parasites, sexually reproducing hosts are able to keep up much better than asexually reproducing hosts can.
Version 1.1.0 includes updated input parameters, the ability to collect a csv file of data, and minor bug fixes. It also includes an ODD protocol that describes how these changes affect the simulation emergence. Compatible with NetLogo 6.1.1.
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/5051/releases/1.1.0/