ArticlemBio2016
The Genome-Wide Interaction Network of Nutrient Stress Genes in Escherichia coli.
Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.
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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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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.
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Who cites it
35 citing papers in PubMed.
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- Exploiting the fitness cost of metallo-β-lactamase expression can overcome antibiotic resistance in bacterial pathogens.Nature microbiology · 2025Article
- A screen for cell envelope stress uncovers an inhibitor of prolipoprotein diacylglyceryl transferase, Lgt, iniScience · 2024Article
- Contrasting Dynamics of Intracellular and Extracellular Antibiotic Resistance Genes in Response to Nutrient Variations in Aquatic Environments.Antibiotics (Basel, Switzerland) · 2024Article
- Thanos: An R Package for the Gene-Centric Analysis of Functional Potential in Metagenomic Samples.Microorganisms · 2024Article
- Fluorescent riboswitch-controlled biosensors for the genome scale analysis of metabolic pathways.Scientific reports · 2024Article
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- A continuous epistasis model for predicting growth rate given combinatorial variation in gene expression and environment.Cell systems · 2024Article
- A mobile CRISPRi collection enables genetic interaction studies for the essential genes of Escherichia coli.Cell reports methods · 2024Article
- Proteomic and Phenotypic Analyses of a Putative YggS Family Pyridoxal Phosphate-Dependent Enzyme in Acidovorax citrulli.The plant pathology journal · 2023Article
- Mslar: Microbial synthetic lethal and rescue database.PLoS computational biology · 2023Review
- A workflow for annotating the knowledge gaps in metabolic reconstructions using known and hypothetical reactions.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Past, Present, and Future of Genome Modification inMicroorganisms · 2022Review
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- The transcription factor network of E. coli steers global responses to shifts in RNAP concentration.Nucleic acids research · 2022Article
- Visualizing the pH in Escherichia coli Colonies via the Sensor Protein mCherryEA Allows High-Throughput Screening of Mutant Libraries.mSystems · 2022Article
- Gradients in gene essentiality reshape antibacterial research.FEMS microbiology reviews · 2022Review
- Mechanism of Pyridoxine 5'-Phosphate Accumulation in Pyridoxal 5'-Phosphate-Binding Protein Deficiency.Journal of bacteriology · 2022Article
- Technologies for High-Throughput Identification of Antibiotic Mechanism of Action.Antibiotics (Basel, Switzerland) · 2021Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Conventional efforts to describe essential genes in bacteria have typically emphasized nutrient-rich growth conditions. Of note, however, are the set of genes that become essential when bacteria are grown under nutrient stress. For example, more than 100 genes become indispensable when the model bacterium Escherichia coli is grown on nutrient-limited media, and many of these nutrient stress genes have also been shown to be important for the growth of various bacterial pathogens in vivo To better understand the genetic network that underpins nutrient stress in E. coli, we performed a genome-scale cross of strains harboring deletions in some 82 nutrient stress genes with the entire E. coli gene deletion collection (Keio) to create 315,400 double deletion mutants. An analysis of the growth of the resulting strains on rich microbiological media revealed an average of 23 synthetic sick or lethal genetic interactions for each nutrient stress gene, suggesting that the network defining nutrient stress is surprisingly complex. A vast majority of these interactions involved genes of unknown function or genes of unrelated pathways. The most profound synthetic lethal interactions were between nutrient acquisition and biosynthesis. Further, the interaction map reveals remarkable metabolic robustness in E. coli through pathway redundancies. In all, the genetic interaction network provides a powerful tool to mine and identify missing links in nutrient synthesis and to further characterize genes of unknown function in E. coli Moreover, understanding of bacterial growth under nutrient stress could aid in the development of novel antibiotic discovery platforms. IMPORTANCE: With the rise of antibiotic drug resistance, there is an urgent need for new antibacterial drugs. Here, we studied a group of genes that are essential for the growth of Escherichia coli under nutrient limitation, culture conditions that arguably better represent nutrient availability during an infection than rich microbiological media. Indeed, many such nutrient stress genes are essential for infection in a variety of pathogens. Thus, the respective proteins represent a pool of potential new targets for antibacterial drugs that have been largely unexplored. We have created all possible double deletion mutants through a genetic cross of nutrient stress genes and the E. coli deletion collection. An analysis of the growth of the resulting clones on rich media revealed a robust, dense, and complex network for nutrient acquisition and biosynthesis. Importantly, our data reveal new genetic connections to guide innovative approaches for the development of new antibacterial compounds targeting bacteria under nutrient stress.
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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.