ArticleGenomics, proteomics & bioinformatics2013
Global genomic arrangement of bacterial genes is closely tied with the total transcriptional efficiency.
Article in Genomics, proteomics & bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Network analyses in microbiome based on high-throughput multi-omics data.Briefings in bioinformatics · 2021Review
- Single-Cell RNA Sequencing of Plant-Associated Bacterial Communities.Frontiers in microbiology · 2019Review
- Impact of Chromosomal Architecture on the Function and Evolution of Bacterial Genomes.Frontiers in microbiology · 2018Review
- Revisiting operons: an analysis of the landscape of transcriptional units in E. coli.BMC bioinformatics · 2015Article
- Octanoylation of early intermediates of mycobacterial methylglucose lipopolysaccharides.Scientific reports · 2015Article
- Computational analyses of transcriptomic data reveal the dynamic organization of the Escherichia coli chromosome under different conditions.Nucleic acids research · 2013Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The availability of a large number of sequenced bacterial genomes allows researchers not only to derive functional and regulation information about specific organisms but also to study the fundamental properties of the organization of a genome. Here we address an important and challenging question regarding the global arrangement of operons in a bacterial genome: why operons in a bacterial genome are arranged in the way they are. We have previously studied this question and found that operons of more frequently activated pathways tend to be more clustered together in a genome. Specifically, we have developed a simple sequential distance-based pseudo energy function and found that the arrangement of operons in a bacterial genome tend to minimize the clusteredness function (C value) in comparison with artificially-generated alternatives, for a variety of bacterial genomes. Here we extend our previous work, and report a number of new observations: (a) operons of the same pathways tend to group into a few clusters rather than one; and (b) the global arrangement of these operon clusters tend to minimize a new "energy" function (C(+) value) that reflects the efficiency of the transcriptional activation of the encoded pathways. These observations provide insights into further study of the genomic organization of genes in bacteria.
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