ArticlePLoS computational biology2008
Investigations of oligonucleotide usage variance within and between prokaryotes.
Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
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- Roles of adenine methylation and genetic mutations in adaptation to different temperatures inEpigenetics · 2022Article
- Xenogeneic Silencing and Bacterial Genome Evolution: Mechanisms for DNA Recognition Imply Multifaceted Roles of Xenogeneic Silencers.Molecular biology and evolution · 2021Review
- Revisiting the Relationships Between Genomic G + C Content, RNA Secondary Structures, and Optimal Growth Temperature.Journal of molecular evolution · 2021Article
- Exploring short k-mer profiles in cells and mobile elements from Archaea highlights the major influence of both the ecological niche and evolutionary history.BMC genomics · 2021Article
- Genome-wide identification of Aedes albopictus long noncoding RNAs and their association with dengue and Zika virus infection.PLoS neglected tropical diseases · 2021Article
- A high-resolution genomic composition-based method with the ability to distinguish similar bacterial organisms.BMC genomics · 2019Article
- Systematic identification and characterization of Aedes aegypti long noncoding RNAs (lncRNAs).Scientific reports · 2019Article
- Evolution of Genomic Base Composition: From Single Cell Microbes to Multicellular Animals.Computational and structural biotechnology journal · 2019Review
- PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures.Nucleic acids research · 2018Article
- Correlation between bacterial G+C content, genome size and the G+C content of associated plasmids and bacteriophages.Microbial genomics · 2018Article
- The nucleotide composition of microbial genomes indicates differential patterns of selection on core and accessory genomes.BMC genomics · 2017Article
- Article
- Systematic Identification and Molecular Characteristics of Long Noncoding RNAs in Pig Tissues.BioMed research international · 2017Article
- Alignment-free clustering of transcription factor binding motifs using a genetic-k-medoids approach.BMC bioinformatics · 2015Article
- An evolutionary analysis of genome expansion and pathogenicity in Escherichia coli.BMC genomics · 2014Article
- Population and genomic analysis of the genus Halorubrum.Frontiers in microbiology · 2014Article
- Article
- Microbial lifestyle and genome signatures.Current genomics · 2012Article
Corrections and comments
- Erratum issued
- Erratum issued
- Erratum issued
- Erratum issued
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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