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Related Concept Videos

Operon Model01:23

Operon Model

1.6K
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...
1.6K
Operons02:09

Operons

54.7K
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...
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Prokaryotic Gene Structure and Organization01:28

Prokaryotic Gene Structure and Organization

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Prokaryotic genomes exhibit a streamlined organization of coding and non-coding regions essential for gene expression and protein synthesis. While coding regions contain the genetic instructions for proteins or functional RNAs, non-coding regions regulate the precise transcription and translation of these genes.Coding Regions: Proteins and RNAsThe primary coding regions, known as structural genes, include sequences transcribed into messenger RNA (mRNA) and ultimately translated into...
2.4K
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

25.7K
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...
25.7K
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

10.8K
10.8K
Repressible Operon: trp Operon01:21

Repressible Operon: trp Operon

2.0K
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...
2.0K

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Updated: Feb 21, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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DOOR: a prokaryotic operon database for genome analyses and functional inference.

Huansheng Cao, Qin Ma, Xin Chen

    Briefings in Bioinformatics
    |October 3, 2017
    PubMed
    Summary

    The Database of prOkaryotic OpeRons (DOOR) provides comprehensive operon data for bacterial and archaeal genomes. This resource aids systems biology research by offering predicted operons, transcriptional units, and regulatory motifs.

    Keywords:
    DOORgene regulationgenomic organizationoperon databasetranscription unit

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Systems Biology

    Background:

    • Prokaryotic genomes are rapidly accumulating, offering vast data for biological studies.
    • Operons are fundamental functional units in prokaryotes, crucial for systematic biological analysis.

    Purpose of the Study:

    • To review the updated Database of prOkaryotic OpeRons (DOOR).
    • To highlight the data content and computational derivation methods.
    • To demonstrate the utility of DOOR for systems biology research.

    Main Methods:

    • Computational prediction of operons across 2072 complete prokaryotic genomes.
    • Integration of transcriptomic data for 24 genomes to identify transcriptional units.
    • Identification and mapping of orthologous genes.
    • Collection of cis-regulatory motifs and Rho-independent terminators.

    Main Results:

    • DOOR contains 6,975,454 computationally predicted operons.
    • Includes transcriptional units for 24 genomes, orthologous gene mapping, 6408 cis-regulatory motifs, and 3,456,718 Rho-independent terminators.
    • Offers a suite of tools for operon data application.

    Conclusions:

    • DOOR is a valuable, continuously updated resource for prokaryotic operon information.
    • The database facilitates systems biology studies by providing integrated genomic and regulatory data.
    • Utilizing DOOR enables tackling complex biological questions in bacteria and archaea.