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Related Concept Videos

Operons02:09

Operons

53.3K
Prokaryotes can control gene expression through operons—DNA sequences consisting of regulatory elements and clustered, functionally related protein-coding genes. Operons use a single promoter sequence to initiate transcription of a gene cluster (i.e., a group of structural genes) into a single mRNA molecule. The terminator sequence ends transcription. An operator sequence, located between the promoter and structural genes, prohibits the operon’s transcriptional activity if bound by...
53.3K
Inducible Operons: lac Operon01:25

Inducible Operons: lac Operon

953
The lac operon in Escherichia coli is a model for understanding inducible gene regulation and metabolic flexibility. It integrates local control by lactose and global regulation through catabolite repression, enabling E. coli to preferentially metabolize glucose when available and switch to lactose utilization when glucose is scarce.Structure and Function of the lac OperonThe lac operon contains three structural genes: lacZ (β-galactosidase), lacY (lactose permease), and lacA...
953
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

24.6K
The organization of prokaryotic genes in their genome is notably different from that of eukaryotes. Prokaryotic genes are organized, such that the genes for proteins involved in the same biochemical process or function are located together in groups. This group of genes, along with their regulatory elements, are collectively known as an operon. The functional genes in an operon are transcribed together to give a single strand of mRNA known as polycistronic mRNA.
Transcription of prokaryotic...
24.6K
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

9.9K
9.9K
Operon Model01:23

Operon Model

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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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Repressible Operon: trp Operon01:21

Repressible Operon: trp Operon

857
The trp operon in Escherichia coli exemplifies a repressible operon. It regulates the synthesis of tryptophan through repressor-mediated transcriptional control and attenuation. This dual regulatory mechanism ensures tryptophan biosynthesis occurs only when needed, conserving cellular resources.Structure of the trp OperonThe trp operon consists of five structural genes (trpE, trpD, trpC, trpB, and trpA) that encode enzymes for tryptophan biosynthesis. These genes are transcribed as a single...
857

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Synchronization of Caulobacter Crescentus for Investigation of the Bacterial Cell Cycle
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An Improved Caulobacter crescentus Operon Annotation Based on Transcriptome Data.

Mohammed-Husain Bharmal1, James R Aretakis1, Jared M Schrader2

  • 1Department of Biological Sciences, Wayne State University, Detroit, Michigan, USA.

Microbiology Resource Announcements
|October 30, 2020
PubMed
Summary
This summary is machine-generated.

This study updates the map of expressed RNAs in Caulobacter crescentus, a model bacterium, using multiple sequencing techniques. This provides a more accurate view of its genome for cell cycle research.

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Area of Science:

  • Microbiology
  • Genomics
  • Molecular Biology

Background:

  • Caulobacter crescentus is a model organism for studying the bacterial cell cycle.
  • Understanding its genome's expressed features is crucial for genetic research.

Purpose of the Study:

  • To provide an updated and comprehensive map of expressed RNAs in Caulobacter crescentus.
  • To enhance the accuracy of genomic feature mapping for this model bacterium.

Main Methods:

  • Integrative analysis of multiple high-throughput sequencing datasets.
  • Utilized 5' global rapid amplification of cDNA ends (5' RACE).
  • Employed transcriptome sequencing, rifampicin treatment RNA sequencing, and RNA end-enriched sequencing.

Main Results:

  • Generated an updated map of expressed RNAs in Caulobacter crescentus.
  • Integrated diverse sequencing data for a more complete transcriptome picture.
  • Identified novel expressed genomic features.

Conclusions:

  • The updated RNA map provides a valuable resource for Caulobacter crescentus research.
  • Improved genomic annotation facilitates deeper understanding of its cell cycle regulation.
  • This work refines our knowledge of bacterial gene expression.