dorsal/arxiv
View SchemaA quantitative study of the benefits of co-regulation using the spoIIA operon as an example
| Authors | Dagmar Iber |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0607008 |
| URL | https://arxiv.org/abs/q-bio/0607008 |
Abstract
The distribution of most genes is not random, and functionally linked genes are often found in clusters. Several theories have been put forward to explain the emergence and persistence of operons in bacteria. Careful analysis of genomic data favours the co-regulation model, where gene organization into operons is driven by the benefits of coordinated gene expression and regulation. Direct evidence that co-expression increases the individual's fitness enough to ensure operon formation and maintenance is, however, still lacking. Here, a previously described quantitative model of the network that controls the transcription factor sigmaF during sporulation in Bacillus subtilis is employed to quantify the benefits arising from both organisation of the sporulation genes into the spoIIA operon and from translational coupling. The analysis shows that operon organization, together with translational coupling, is important because of the inherent stochastic nature of gene expression which skews the ratios between protein concentrations in the absence of co- regulation. The predicted impact of different forms of gene regulation on fitness and survival agrees quantitatively with published sporulation efficiencies.
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"abstract": "The distribution of most genes is not random, and functionally linked genes\nare often found in clusters. Several theories have been put forward to explain\nthe emergence and persistence of operons in bacteria. Careful analysis of\ngenomic data favours the co-regulation model, where gene organization into\noperons is driven by the benefits of coordinated gene expression and\nregulation. Direct evidence that co-expression increases the individual\u0027s\nfitness enough to ensure operon formation and maintenance is, however, still\nlacking. Here, a previously described quantitative model of the network that\ncontrols the transcription factor sigmaF during sporulation in Bacillus\nsubtilis is employed to quantify the benefits arising from both organisation of\nthe sporulation genes into the spoIIA operon and from translational coupling.\nThe analysis shows that operon organization, together with translational\ncoupling, is important because of the inherent stochastic nature of gene\nexpression which skews the ratios between protein concentrations in the absence\nof co- regulation. The predicted impact of different forms of gene regulation\non fitness and survival agrees quantitatively with published sporulation\nefficiencies.",
"arxiv_id": "q-bio/0607008",
"authors": [
"Dagmar Iber"
],
"categories": [
"q-bio.MN",
"q-bio.PE"
],
"title": "A quantitative study of the benefits of co-regulation using the spoIIA operon as an example",
"url": "https://arxiv.org/abs/q-bio/0607008"
},
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