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Statistical Analysis og Genetic Information Coding Using Different Aminoacid Tables
Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
Аннотация
In this work, we used a computer simulation which represents a living organism under mutations. Furthermore, we changed the genetic code used in the simulations to analyze its effect on population stability. The resistance of the population against mutations does not change when the amino acid number is artifiaclly increased to 22 or 24. However, after 24, the resistance starts to decrease. The same behavior is observed when we decrease the number of aminoacids utilized. We have also used a code table different than the one utilized in Nature in connection with a sample gene, the human cytokine gene. The simulations show that the standard code table that is being used in most of the vertebrates actually does not give the most resilient organisms against point mutations if we only apply simple simulation rules. To test these results, we have also created an average human gene. If we consider our results as standart code table versus the rest of the coding schemes, the results do not change, i. e., the standart code table is still not the best solution. However, when we compare other code tables we see that some code tables give better results with the human cytokine gene whereas other give better results with the average human gene. This result is most pronounced with the Ciliate, Dasycladacean and Hexamita Nuclear Code (CDHNC), which survives much better if we use an average human gene than the human cytokine gene.
