|Supervisor||Prof. Dr. Markus Gumbel / Prof. Dr. Lutz Strüngmann|
After years of research there are still many open questions on the topic of genetic code evolution. It is unclear how the code could evolve in the first place and how it could evolve as fast as it has, how its universality and ambiguity evolved and why it is not perfect in more than one aspect. Current research focuses on various aspects of genetic code evolution as for example coevolution, tRNA driven evolution, the first coding codons and coded amino acids and many more but the influence of aaRSs (aminoacyl-tRNA-synthetases) is none of the focal points.
It can be assumed that the first genetic code didn’t have the high structure of today’s code but a more random structure. A random structure means that today’s stable aaRS feedback loop hasn’t been stable in early evolution. The given aaRSs didn’t support their own reproduction but the production of other kinds of aaRSs. This behaviour is founded in an ambiguous genetic code and it is unclear how ambiguity and therefore a stable feedback cycle evolved. In this thesis it is assumed that the aaRS feedback loop was an important driver of genetic code evolution.
This thesis provides an analysis of the aaRS feedback cycle. It is applied on randomly generated genetic codes and the influence of various start conditions is observed. The process is defined mathematically and simulated with a computer simulation. The results of the simulation are analysed with the classification algorithm J48 and with sta- tistical tests to form new hypotheses that can be further explored.