TY - JOUR
T1 - Mathematical model of molecular evolution through a stochastic analysis
JF - bioRxiv
DO - 10.1101/699264
SP - 699264
AU - Ortega, Joel Valdivia
Y1 - 2019/01/01
UR - http://biorxiv.org/content/early/2019/07/11/699264.abstract
N2 - Today we are able to describe genome evolution but, there are still several open questions on this area such as: Which is the probability that a mutation occurs at a nucleotide level? Is it possible to predict the evolution of a particular genome?, or talking about preservation, is there a way to simulate the genetic diversity for endangered species? In this paper it is shown that it is possible to make a mathematical model not only of mutations on the genome of species, but of evolution itself, including factors such as artificial and natural selection. It is also presented the algorithm to obtain the probabilities of mutation for each specific part of the genome and for each specie.Even more, it is presented a mathematical method to estimate the amount of generations between two related genomes and a function capable of predict the amount of mutations through time a genome will suffer.The potential of having this tool is giantic going from genetic engineering applied to medicine to filling up blank spaces in phylogenetic studies or preservation of endangered species due to genetic diversity.
ER -