%0 Journal Article
%T Mathematical Analysis of Genomic Evolution
%A Cedric Green
%J Undergraduate Journal of Mathematical Modeling : One + Two
%D 2011
%I University of South Florida
%R 10.5038/2326-3652.3.2.7
%X Changes in nucleotide sequences, or mutations, accumulate from generation to generation in the genomes of all living organisms. The mutations can be advantageous, deleterious, or neutral. The goal of this project is to determine the amount of advantageous mutations it takes to get human (Homo sapiens) DNA from the DNA of genetically distinct organisms. We do this by collecting the genomic data of such organisms, and estimating the amount of mutations it takes to transform yeast (Saccharomyces cerevisiae) DNA to the DNA of a human. We calculate the typical number of mutations occurring annually through the organism's average life span and the average mutation rate. This allows us to determine the total number of mutations as well as the probability of advantageous mutations. Not surprisingly, this probability proves to be fairly small. A more precise estimate can be determined by accounting for the differences in the chromosomal structure and phenomena like horizontal gene transfer.
%K Genomic Evolution
%K Beneficial Mutations
%K DNA
%U http://scholarcommons.usf.edu/ujmm/vol3/iss2/7