A computational model proposed to elucidate mutation scenario

A computational model proposed to elucidate mutation scenario

In an article entitled, “Emergence of stable polymorphisms driven by evolutionary games between mutants”, published in June 26, 2012, issue of Nature Communications 3:919; 1-7, the lead author Weini Huang with three other associates from three research groups developed a model to address the circumstances that lead to  mutations that are frequency reliant and have arbitrary fitness parameters. The consequences demonstrate that the dynamics that arise in random mutants amplify the genetic diversity within a population. Their proposed computer model combines aspects of population genetics and evolutionary game theory in order to obtain a new perspective on genetic evolution. This new model also enables a change in random fitness values with the frequency of the different types. The results of the simulations confirm that frequency dependent selection leads to a higher genetic diversity within a population . However, the communication between different mutations and the appearance of new mutants support the development of dynamic diversity in the population. It is feasible for different mutations to survive in parallel such that a new mutant does not entirely replace the old ones. The most interesting fact is that, diversity in this model remains naturally restricted. Fitness, on the other hand, does not essentially rise with frequency dependent selection in contrast to stable selection. By way of example, a mutation may happen within cells which restricts the production of substances that are passed on to other cells. This can primarily be beneficial. Helpful mutations can be misplaced and harmful ones become permanent. [summarized by a graduate student Samsad Razzaque]

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