ArticleNucleic acids research2012
The evolutionary dynamics of functional modules and the extraordinary plasticity of regulons: the Escherichia coli perspective.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The EcoCyc database (2025).EcoSal Plus · 2025Review
- The EcoCyc Database (2023).EcoSal Plus · 2023Review
- The EcoCyc Database.EcoSal Plus · 2018Review
- Mutational Pleiotropy and the Strength of Stabilizing Selection Within and Between Functional Modules of Gene Expression.Genetics · 2018Article
- The power of operon rearrangements for predicting functional associations.Computational and structural biotechnology journal · 2015Review
- The loose evolutionary relationships between transcription factors and other gene products across prokaryotes.BMC research notes · 2014Article
- The EcoCyc Database.EcoSal Plus · 2014Article
- Acetobixan, an inhibitor of cellulose synthesis identified by microbial bioprospecting.PloS one · 2014Article
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Authors and funding
2 authors.
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Abstract
Using profiles of phylogenetic profiles (P-cubic) we compared the evolutionary dynamics of different kinds of functional associations. Ordered from most to least evolutionarily stable, these associations were genes in the same operons, genes whose products participate in the same biochemical pathway, genes coding for physically interacting proteins and genes in the same regulons. Regulons showed the most plastic functional interactions with evolutionary stabilities barely better than those of unrelated genes. Further regulon analyses showed that global regulators contain less evolutionarily stable associations than local regulators. Genes co-repressed by global regulators had a higher evolutionary conservation than genes co-activated by global regulators. However, the reverse was true for genes co-repressed and co-activated by local regulators. Of all the regulon-related associations, the relationship between regulators and their target genes showed the most evolutionary stability. Different negative data sets built to contrast against each of the analysed kinds of modules also differed in evolutionary conservation revealing further underlying genome organization. Applying P-cubic analyses to other genomes might help visualize genome organization, understand the evolutionary importance and plasticity of functional associations and compare the quality of data sets expected to reflect functional interactions, such as those coming from high-throughput experiments.
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