ArticleGenome research2009
Principles of transcriptional regulation and evolution of the metabolic system in E. coli.
Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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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.
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Who cites it
37 citing papers in PubMed, 67 citations in OpenAlex.
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- Systems-level transcriptional regulation of Caenorhabditis elegans metabolism.Molecular systems biology · 2023Article
- Optimal transcriptional regulation of dynamic bacterial responses to sudden drug exposures.Biophysical journal · 2022Article
- Gene Networks and Pathways Involved inMicroorganisms · 2022Article
- Bioprospecting of microbial strains for biofuel production: metabolic engineering, applications, and challenges.Biotechnology for biofuels · 2021Review
- Dynamics of genetic variation in transcription factors and its implications for the evolution of regulatory networks in Bacteria.Nucleic acids research · 2020Article
- Phenylalanine and Tyrosine as Exogenous Precursors of Wheat (Plants (Basel, Switzerland) · 2020Article
- Antagonistic Mechanism of Metabolites Produced byFrontiers in microbiology · 2020Article
- RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12.Nucleic acids research · 2019Article
- Conserved principles of transcriptional networks controlling metabolic flexibility in archaea.Emerging topics in life sciences · 2018Article
- Added value of autoregulation and multi-step kinetics of transcription initiation.Royal Society open science · 2018Article
- Feedbacks from the metabolic network to the genetic network reveal regulatory modules in E. coli and B. subtilis.PloS one · 2018Article
- Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli.Molecular systems biology · 2017Article
- Metatranscriptomic insights on gene expression and regulatory controls in Candidatus Accumulibacter phosphatis.The ISME journal · 2016Article
- Effect of database drift on network topology and enrichment analyses: a case study for RegulonDB.Database : the journal of biological databases and curation · 2016Article
- Deciphering the genome repertoire of Pseudomonas sp. M1 toward β-myrcene biotransformation.Genome biology and evolution · 2014Article
- MIRA: mutual information-based reporter algorithm for metabolic networks.Bioinformatics (Oxford, England) · 2014Article
- The influence of promoter architectures and regulatory motifs on gene expression in Escherichia coli.PloS one · 2014Article
- Transcriptional regulation is insufficient to explain substrate-induced flux changes in Bacillus subtilis.Molecular systems biology · 2013Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Organisms must adapt to make optimal use of the metabolic system in response to environmental changes. In the long-term, this involves evolution of the genomic repertoire of enzymes; in the short-term, transcriptional control ensures that appropriate enzymes are expressed in response to transitory extracellular conditions. Unicellular organisms are particularly susceptible to environmental changes; however, genome-scale impact of these modulatory effects has not been explored so far in bacteria. Here, we integrate genome-scale data to investigate the evolutionary trends and transcriptional control of metabolism in Escherichia coli K12. Globally, the regulatory system is organized in a clear hierarchy of general and specific transcription factors (TFs) that control differing ranges of metabolic functions. Further, catabolic, anabolic, and central metabolic pathways are targeted by distinct combinations of these TFs. Locally, enzymes catalyzing sequential reactions in a metabolic pathway are co-regulated by the same TFs. Regulation is more complex at junctions: General TFs control the overall activity of all connecting reactions, whereas specific TFs control individual enzymes. Divergent junctions play a special role in delineating metabolic pathways and decouple the regulation of incoming and outgoing reactions. We find little evidence for differential usage of isozymes, which are generally co-expressed in similar conditions, and thus are likely to reinforce the metabolic system through redundancy. Finally, we show that enzymes controlled by the same TFs have a strong tendency to co-evolve, suggesting a significant constraint to maintain similar regulatory regimes during evolution. Catabolic, anabolic, and central energy pathways evolve differently, emphasizing the role of the environment in shaping the metabolic system. Many of the observations also occur in yeast, and our findings may apply across large evolutionary distances.
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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.