Title of article :
Evidence of codon usage in the nearest neighbor spacing distribution of bases in bacterial genomes
Author/Authors :
Higareda، نويسنده , , M.F. and Geiger، نويسنده , , O. and Mendoza، نويسنده , , L. and Méndez-Sلnchez، نويسنده , , R.A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
Statistical analysis of whole genomic sequences usually assumes a homogeneous nucleotide density throughout the genome, an assumption that has been proved incorrect for several organisms since the nucleotide density is only locally homogeneous. To avoid giving a single numerical value to this variable property, we propose the use of spectral statistics, which characterizes the density of nucleotides as a function of its position in the genome. We show that the cumulative density of bases in bacterial genomes can be separated into an average (or secular) plus a fluctuating part. Bacterial genomes can be divided into two groups according to the qualitative description of their secular part: linear and piecewise linear. These two groups of genomes show different properties when their nucleotide spacing distribution is studied. In order to analyze genomes having a variable nucleotide density, statistically, the use of unfolding is necessary, i.e., to get a separation between the secular part and the fluctuations. The unfolding allows an adequate comparison with the statistical properties of other genomes. With this methodology, four genomes were analyzed Burkholderia, Bacillus, Clostridium and Corynebacterium. Interestingly, the nearest neighbor spacing distributions or detrended distance distributions are very similar for species within the same genus but they are very different for species from different genera. This difference can be attributed to the difference in the codon usage.
Keywords :
codon usage , Nearest neighbor spacing distribution , Detrended distance distribution , Genomic sequences , Spectral statistics
Journal title :
Physica A Statistical Mechanics and its Applications
Journal title :
Physica A Statistical Mechanics and its Applications