Revisiting the physico-chemical hypothesis of code origin: an analysis based on code-sequence coevolution in a finite population.
The origin of the genetic code marked a major transition from a plausible RNA world to the world of DNA and proteins and is an important milestone in our understanding of the origin of life. We examine the efficacy of the physico-chemical hypothesis of code origin by carrying out simulations of code-sequence coevolution in finite populations in stages, leading first to the emergence of ten amino acid code(s) and subsequently to 14 amino acid code(s). We explore two different scenarios of primordial code evolution. In one scenario, competition occurs between populations of equilibrated code-sequence sets while in another scenario; new codes compete with existing codes as they are gradually introduced into the population with a finite probability. In either case, we find that natural selection between competing codes distinguished by differences in the degree of physico-chemical optimization is unable to explain the structure of the standard genetic code. The code whose structure is most consistent with the standard genetic code is often not among the codes that have a high fixation probability. However, we find that the composition of the code population affects the code fixation probability. A physico-chemically optimized code gets fixed with a significantly higher probability if it competes against a set of randomly generated codes. Our results suggest that physico-chemical optimization may not be the sole driving force in ensuring the emergence of the standard genetic code.
School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Ashutosh Vishwa
AV
Bandhu
Neha
N
Aggarwal
Supratim
S
Sengupta
D004247:DNA / Q000235:genetics*; D019143:Evolution, Molecular; D005815:Genetic Code; D012313:RNA / Q000235:genetics*
D012313:RNA; D004247:DNA