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In the human genomes, recombination frequency between homologous chromosomesduring meiosis is highly correlated with their physical length while it differssignificantly when their coding density is considered. Furthermore, it has beenobserved that the recombination events are distributed unevenly along thechromosomes. We have found that many of such recombination properties can bepredicted by computer simulations of population evolution based on the MonteCarlo methods. For example, these simulations have shown that the probabilityof acceptance of the recombination events by selection is higher at the ends ofchromosomes and lower in their middle parts. The regions of high coding densityare more prone to enter the strategy of haplotype complementation and to formclusters of genes which are "recombination deserts". The phenomenon ofswitching in-between the purifying selection and haplotype complementation hasa phase transition character, and many relations between the effectivepopulation size, coding density, chromosome size and recombination frequencyare those of the power law type.

Genome analyses and modelling the relationship between coding density, recombination rate and chromosome length