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Transposons, or "jumping genes," are small mobile genetic elements (MGEs) that range from 700 to 40,000 base pairs in length. They are found in all organisms and can move within the same chromosome or transfer to different chromosomes. In some cases, transposons can also jump between different host DNA molecules, such as plasmids or viruses, contributing to genetic variability.Barbara McClintock first discovered these mobile genetic elements in the 1940s while studying maize genetics, and she...
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The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
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The transport of solutes across the cell membrane is essential for metabolic processes, like maintaining cell size and volume, generating the action potential, exchanging nutrients and gases, etc. Membrane transport can be either passive or active. It can be simple diffusion, facilitated, or mediated transport aided by transport proteins such as transporters and channels.
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Tn-Core: Functionally Interpreting Transposon-Sequencing Data with Metabolic Network Analysis.

George C diCenzo1, Marco Galardini2,3, Marco Fondi4

  • 1Department of Biology, Queen's University, Kingston, ON, Canada. george.dicenzo@queens.ca.

Methods in Molecular Biology (Clifton, N.J.)
|November 12, 2020
PubMed
Summary
This summary is machine-generated.

Transposon-sequencing (Tn-seq) reveals essential bacterial genes but has limitations. Tn-Core integrates Tn-seq data with metabolic networks to provide a complete view of essential metabolism and refine cellular physiology understanding.

Keywords:
Bacterial metabolismEssential genesFunctional genomicsGENREGenome-scale metabolic network analysisInsertion-sequencingRNA-sequencingTransposon-sequencing

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Area of Science:

  • Microbiology
  • Systems Biology
  • Computational Biology

Background:

  • Transposon-sequencing (Tn-seq) is vital for identifying essential bacterial genes.
  • Existing Tn-seq methods face challenges with genetic interactions masking phenotypes and difficulty in functional interpretation.
  • Understanding cellular physiology requires integrating gene essentiality data with metabolic context.

Purpose of the Study:

  • To introduce Tn-Core, a computational toolbox designed to overcome Tn-seq limitations.
  • To demonstrate how Tn-Core integrates Tn-seq data with genome-scale metabolic networks.
  • To enable a more comprehensive understanding of bacterial essential metabolism and physiology.

Main Methods:

  • Utilizing Tn-Core to combine Tn-seq data with in silico genome-scale metabolic networks.
  • Integrating optional RNA-seq data for enhanced analysis.
  • Applying Tn-Core for generating complete essential metabolism views, preparing context-specific models, and refining metabolic models.

Main Results:

  • Tn-Core effectively contextualizes Tn-seq data with metabolic models.
  • The toolbox facilitates the generation of a complete view of essential bacterial metabolism.
  • Tn-Core aids in refining genome-scale metabolic models for deeper physiological insights.

Conclusions:

  • Tn-Core is a valuable computational tool for overcoming Tn-seq limitations.
  • It enhances the functional interpretation of Tn-seq data by integrating metabolic context.
  • The toolbox provides accessible resources (repository and web-app) for researchers to analyze bacterial essentiality and metabolism.