ArticleMolecular systems biology2006
A quantitative study of the benefits of co-regulation using the spoIIA operon as an example.
Article in Molecular systems biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Genomic Insights and Plant Growth-Promoting Characterization ofPlants (Basel, Switzerland) · 2025Article
- Cross-evaluation of E. coli's operon structures via a whole-cell model suggests alternative cellular benefits for low- versus high-expressing operons.Cell systems · 2024Article
- Multifaceted Stoichiometry Control of Bacterial Operons Revealed by Deep Proteome Quantification.Frontiers in genetics · 2019Article
- Control of type III protein secretion using a minimal genetic system.Nature communications · 2017Article
- A biophysical model of supercoiling dependent transcription predicts a structural aspect to gene regulation.BMC biophysics · 2015Article
- Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilis.Scientific reports · 2013Article
- Article
- A Bayesian model for pooling gene expression studies that incorporates co-regulation information.PloS one · 2012Article
- Interplay of gene expression noise and ultrasensitive dynamics affects bacterial operon organization.PLoS computational biology · 2012Article
- Robust signal processing in living cells.PLoS computational biology · 2011Article
- Inferring Biological Mechanisms by Data-Based Mathematical Modelling: Compartment-Specific Gene Activation during Sporulation in Bacillus subtilis as a Test Case.Advances in bioinformatics · 2011Article
- Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture.Molecular systems biology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
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 coexpression 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 sigma(F) during sporulation in Bacillus subtilis is employed to quantify the benefits arising from both organization 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.