Title: Comparative study of synonymous codon usage in bacteria growing at extreme temperatures
Authors: Monisha Singhal; Pragya Chaturvedi; R.K. Gothwal; M.K. Mohan; P.S. Solanki
Addresses: Department of Biotechnology, Birla Institute of Scientific Research, Jaipur, 302001, India ' Department of Biotechnology, Birla Institute of Scientific Research, Jaipur, 302001, India ' Department of Biotechnology, Birla Institute of Scientific Research, Jaipur, 302001, India; Department of Bioengineering, Birla Institute of Technology, Mesra, Jaipur Campus, 302017, Rajasthan, India ' Department of Biotechnology, Birla Institute of Scientific Research, Jaipur, 302001, India; Department of Bioengineering, Birla Institute of Technology, Mesra, Jaipur Campus, 302017, Rajasthan, India ' Department of Biotechnology, Birla Institute of Scientific Research, Jaipur, 302001, India; Department of Bioengineering, Birla Institute of Technology, Mesra, Jaipur Campus, 302017, Rajasthan, India
Abstract: Genome availability has made possible to compare the codon and amino acid usage strategies among different extremophiles. Correspondence analysis was used to characterise various patterns present in 200 genes encoding 10 key enzymes of citric acid cycle from 20 organisms surviving at varying temperature. The study has shown that the different extremophiles follow a specific trend of codon usage and amino acid composition which is affected by temperature variation and base composition which is vital for functional and structural stability of enzymes and hence for their adaptive survival in such harsh environmental conditions. It was found that higher temperature favours high aromaticity score which can be linked to its thermal behaviour. The results and statistical analysis of various parameters of codon usage shows a level of preference in synonymous codons and indicates towards a kind of anonymous selection pressure which help stabilising the genetic material at varying degree of temperature.
Keywords: extremophiles; codon adaptation index; correspondence analysis.
DOI: 10.1504/IJBRA.2021.113966
International Journal of Bioinformatics Research and Applications, 2021 Vol.17 No.1, pp.53 - 68
Received: 11 Jan 2018
Accepted: 11 Oct 2018
Published online: 06 Apr 2021 *