Published in

Public Library of Science, PLoS Computational Biology, 7(5), 2009

DOI: 10.1371/annotation/45b4b21a-d0d1-40d2-8efd-c30b28baf1eb

Public Library of Science, PLoS Computational Biology, 4(4), p. e1000057, 2008

DOI: 10.1371/journal.pcbi.1000057

Public Library of Science, PLoS Computational Biology, 7(5)

DOI: 10.1371/annotation/27a4f12b-e6e6-4d19-bf53-09ce05dfe1b9

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Investigations of oligonucleotide usage variance within and between prokaryotes.

Journal article published in 2008 by Jon Bohlin, Eystein Skjerve, David W. Ussery ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Oligonucleotide usage in archaeal and bacterial genomes can be linked to a number of properties, including codon usage (trinucleotides), DNA base-stacking energy (dinucleotides), and DNA structural conformation (di- to tetranucleotides). We wanted to assess the statistical information potential of different DNA 'word-sizes' and explore how oligonucleotide frequencies differ in coding and non-coding regions. In addition, we used oligonucleotide frequencies to investigate DNA composition and how DNA sequence patterns change within and between prokaryotic organisms. Among the results found was that prokaryotic chromosomes can be described by hexanucleotide frequencies, suggesting that prokaryotic DNA is predominantly short range correlated, i.e., information in prokaryotic genomes is encoded in short oligonucleotides. Oligonucleotide usage varied more within AT-rich and host-associated genomes than in GC-rich and free-living genomes, and this variation was mainly located in non-coding regions. Bias (selectional pressure) in tetranucleotide usage correlated with GC content, and coding regions were more biased than non-coding regions. Non-coding regions were also found to be approximately 5.5% more AT-rich than coding regions, on average, in the 402 chromosomes examined. Pronounced DNA compositional differences were found both within and between AT-rich and GC-rich genomes. GC-rich genomes were more similar and biased in terms of tetranucleotide usage in non-coding regions than AT-rich genomes. The differences found between AT-rich and GC-rich genomes may possibly be attributed to lifestyle, since tetranucleotide usage within host-associated bacteria was, on average, more dissimilar and less biased than free-living archaea and bacteria.