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NetLogo Models Library: 
If you download the NetLogo application, this model is included. (You can also run this model in your browser, but we don't recommend it; details here.) 
This model is a thought experiment related to the evolution of the two sexes as we know them: males producing numerous small sperm cells and females producing only a handful of big egg cells.
The model has two pseudosexes (red and blue). The adult organisms of each pseudosex begin with the same reproductive strategy: produce medium sized gametes in approximately the same quantities. Every time an adult produces new gametes, there is a chance of a small, random mutation in the gamete size strategy. These mutations introduce a competition among multiple reproductive strategies. The model explores the conditions that may lead to this competition resulting in the emergence of two evolutionarily stable reproductive strategies: 1. produce numerous small gametes and 2. produce a handful of big gametes.
This model also allows you to test many different assumptions related to the evolution of the spermegg dichotomy (anisogamy) from a uniform gamete size strategy by changing the various parameters.
Adults move around randomly and produce gametes after random time intervals. The number of gametes produced by an adult in a given reproduction cycle depends on its reproduction budget and its gamete size strategy. The smaller the gamete size, the more gametes an adult can produce in a cycle. The larger the gamete size, the fewer gametes an adult can produce in a cycle.
The gametes also move around randomly. When two gametes touch each other, they initiate a fusion process to form a zygote. One of the zygote's parents is selected randomly to pass on both its sex and its gamete size strategy to the zygote. However, the gamete size strategy is subject to small mutations that make the target gamete size smaller or bigger.
These new zygotes are nonmobile agents. They stay put and incubate. When they reach the end of their incubation period, they become adults if their mass is equal to or larger than the critical mass. If a zygote cannot reach the critical mass, it turns black and slowly dies off.
The SETUP button creates the initial adult population. Each adult in the initial population is assigned one of the mating types (red or blue) randomly. They all start with the same gamete size strategy, which is half of the fixed reproduction budged.
Once the model has been set up, you are now ready to run it by pushing the GO button. The GO button starts the simulation and runs it continuously until it is pushed again.
The POPULATIONSIZE slider determines both the initial number of adults and the carrying capacity of the ecosystem. The carryingcapacity is enforced at the end of each tick, randomly removing the necessary number of adults from the ecosystem when the total number of adults exceeds the value set by the POPULATIONSIZE slider.
The GAMETEPRODUCTIONBUDGET slider controls the total mass an adult can use to produce gametes.
The ZYGOTECRITICALMASS slider controls the critical mass a zygote needs to achieve in order to survive.
The MUTATIONSTDEV slider controls the standard deviation of the random mutation in the gamete size strategy. A standard deviation is used because the mutation algorithm is based on a normal distribution with an expected value of the gamete size of the adult.
The SPEEDSIZERELATION? switch allows you to decide whether smaller gametes move faster than the larger gametes or all the gametes move at the same speed.
The ADULTSMOVE? switch allows you to decide whether adults in the system move around or not.
The SAMETYPEMATINGALLOWED? switch lets you choose whether or not gametes of the same color are allowed to fuse.
The ENFORCECRITICALMASS? switch lets you override the critical mass assumption. When ON, the undersized zygotes die. When OFF, all zygotes survive regardless of their total mass.
Because the some of the gametes in the model can be very very small, it is sometimes hard to observe them. Clicking the FOLLOW A RED GAMETE or FOLLOW A BLUE GAMETE button picks a randomly chosen gamete of that color and lets you follow it until it dies or fuses with another gamete.
It takes quite some time to see any meaningful changes in the adults’ gamete size strategies. Even if it seems like the system is stable, let the model run at least for 5000 to 10000 ticks.
Notice that even if the gamete size strategies of the red adults and the blue adults may evolve to be dramatically different, this does not disrupt the overall population balance. The number of the red adults and the number of blue adults stay relatively stable no matter what.
The number of adults and the of the zygotes stay relatively constant in the model, regardless of the changes in the gamete size strategies. However, the number of gametes may dramatically change. Keep an eye out for spikes in the number of gametes and see how these spikes correspond to changes in the distribution of the gamete size strategies.
Try changing the mutation rate (MUTATIONSTDEV) and see if it makes any difference in terms of the eventual outcome of the model. Is there a scenario where anisogamy does not evolve? Is there a scenario where it evolves even faster?
Would anisogamy still evolve even if gametes of the same color can fuse? Try turning on the SAMETYPEMATINGALLOWED? switch and see how it affects the eventual outcome of the model.
Does the initial distribution of mating types have an impact on the eventual outcome of the model? Try to run the model multiple times and see if the initial number of red adults versus the initial number of blue adults has anything to do with the eventual outcome of the model.
The ZYGOTECRITICALMASS value defaults to 0.45, which is just 0.05 less than the total reproduction budget of adults (0.5 or 50% of the total mass). Try modifying this value to discover whether smaller and larger critical masses requirements still result in anisogamy.
Initially, the adults in the model move around randomly. Try removing this ability by turning the ADULTSMOVE? switch OFF. Does this make a difference in the model?
There might be scenarios where a population might have more than 2 mating types. Try increasing the number of mating types in this model to explore if it will still evolve to an anisogamous state.
In the model, it is assumed that all gametes have relatively similar lifetimes. However, this is not the case for many organisms: often sperm have brief lives while eggs survive for a much longer period of time. What would happen if the smaller gametes in this model had a shorter lifetime and the larger gametes had longer lifetimes? Try to implement this in the model by creating an algorithm that calculates the lifetime of each gamete based on its size.
The RANDOMNORMAL primitive is used to simulate the random mutations in gamete size strategy between the generations of adults through a normal distribution. The lifetime of adults and gametes, as well as the incubation time of zygotes, are also randomly selected from a normal distribution.
The DIFFUSE primitive is used to create a background that transitions from darker to lighter tones of cyan fluidly. This background represents a marine environment.
The PRECISION primitive is used to limit the number of floating point numbers in the size of gametes. This is a synthetic measure to prevent the model from evolving to a state where too many gametes are produced and the performance of the simulation is negatively affected.
The INSPECT and the STOPINSPECTINGDEADAGENTS primitives are used to allow users to follow randomly selected gametes so that they can better observe gametes’ behavior at the individual level since the gametes are often hard to see in this model.
Bulmer, M. G., & Parker, G. A. (2002). The evolution of anisogamy: a gametheoretic approach. Proceedings of the Royal Society B: Biological Sciences, 269(1507), 2381–2388. https://royalsocietypublishing.org/doi/abs/10.1098/rspb.2002.2161
Togashi, T., & Cox, P. A. (Eds.). (2011). The evolution of anisogamy: a fundamental phenomenon underlying sexual selection. Cambridge University Press.
If you mention this model or the NetLogo software in a publication, we ask that you include the citations below.
For the model itself:
Please cite the NetLogo software as:
Copyright 2016 Uri Wilensky.
This work is licensed under the Creative Commons AttributionNonCommercialShareAlike 3.0 License. To view a copy of this license, visit https://creativecommons.org/licenses/byncsa/3.0/ or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.
Commercial licenses are also available. To inquire about commercial licenses, please contact Uri Wilensky at uri@northwestern.edu.
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