Computer Simulation of Sympatric Speciation with Penna Ageing Model
نویسندگان
چکیده
The common ancestors of today’s humans and today’s chimpanzees presumably lived several million years ago. Then, due to genetic mutations and/or changes in the environment, the population split into the ancestors of humans and the ancestors of chimpanzees. Such a separation of one species into two is called “speciation”. It is easily explained if the two populations live in separate environments, like one on an island and the other on a continent, making the mating of males from one population with females from the other population impossible. This effect is called allopatric speciation. More difficult to explain is sympatric speciation, where the two populations continue to live in the same environment but nevertheless cease to mate each other [1]. A recent computer model [2] in the physics literature also cites biological examples, serving as a background also for our paper. We concentrate here on models with age-structured populations [3, 4, 5] and in particular use the Penna bitstring model [6, 7], which is the presently most widespread model to simulate biological ageing. We deal only with sexual reproduction where two populations are defined as being different species if the mating from different populations produces no viable offspring. The next section shortly explains this Penna model and then presents the minimal modifications which we found necessary to get sympatric speciation. A more realistic model involving three pairs of bitstrings instead of only one is discussed in the following section. We end with a short summary.
منابع مشابه
An investigation of sympatric speciation in diploid organisms by computer simulation
This thesis proposes that sympatric speciation can arise, in certain circumstances, in diploid sexually-reproducing organisms by mechanisms other than autopolyploidy. This proposition is veri ed by a series of computer simulations of the natural, biological, genetic processes of reproduction. The research is essentially a series of logical experiments using a computer simulation of natural gene...
متن کاملComputer Simulations to Study Sympatric Speciation Processes
We perform simulations based on the Penna model for biological ageing, now with the purpose of studying sympatric speciation, that is, the division of a single species into two or more populations, reproductively isolated, but without any physical barrier separating them. For that we introduce a new kind of competition among the individuals, using a modified Verhulst factor. The new competition...
متن کاملSympatric Speciation in a Simple Food Web
Observations of the evolution of species groups in nature, such as well recognized Galapagos finches, have motivated much theoretical research aimed at understanding the processes associated with such radiations. The Penna model is one such model and has been widely used to study aging. In this paper we use the basic Penna model to investigate the process of sympatric speciation in a simple foo...
متن کاملSympatric speciation in an age-structured population living on a lattice
A square lattice is introduced into the Penna model for biological aging in order to study the evolution of diploid sexual populations under certain conditions when one single locus in the individual’s genome is considered as identifier of species. The simulation results show, after several generations, the flourishing and coexistence of two separate species in the same environment, i.e., one o...
متن کاملComputer simulations of sympatric speciation in a simple food web.
Galapagos finches, have motivated much theoretical research aimed at understanding the processes associated with the formation of the species. Inspired by them, in this paper we investigate the process of sympatric speciation in a simple food web model. For that we modify the individual-based Penna model that has been widely used to study aging as well as other evolutionary processes. Initially...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003