title: Finite population analysis of the effect of horizontal gene transfer on the origin of an universal and optimal genetic code.
abstract: The origin of a universal and optimal genetic code remains a compelling mystery in molecular biology and marks an essential step in the origin of DNA and protein based life. We examine a collective evolution model of genetic code origin that allows for unconstrained horizontal transfer of genetic elements within a finite population of sequences each of which is associated with a genetic code selected from a pool of primordial codes. We find that when horizontal transfer of genetic elements is incorporated in this more realistic model of code-sequence coevolution in a finite population, it can increase the likelihood of emergence of a more optimal code eventually leading to its universality through fixation in the population. The establishment of such an optimal code depends on the probability of HGT events. Only when the probability of HGT events is above a critical threshold, we find that the ten amino acid code having a structure that is most consistent with the standard genetic code (SGC) often gets fixed in the population with the highest probability. We examine how the threshold is determined by factors like the population size, length of the sequences and selection coefficient. Our simulation results reveal the conditions under which sharing of coding innovations through horizontal transfer of genetic elements may have facilitated the emergence of a universal code having a structure similar to that of the SGC.
authors.affiliation: School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
authors.forename: Neha
authors.initials: N
authors.lastname: Aggarwal
authors.forename: Ashutosh Vishwa
authors.initials: AV
authors.lastname: Bandhu
authors.forename: Supratim
authors.initials: S
authors.lastname: Sengupta
mesh_terms: D000596:Amino Acids / Q000235:genetics*; D022761:Gene Transfer, Horizontal / Q000235:genetics*; D005815:Genetic Code / Q000235:genetics*
chemical_list: D000596:Amino Acids