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Gene Regulation in Microbial Communities: Quorum Sensing01:28

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Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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QSDB-a graphical Quorum Sensing Database.

Karsten Klein1, Dimitar Garkov1, Sina Rütschlin2

  • 1Department of Information and Computer Science, University of Konstanz, Universitätsstraße 10, Konstanz, Baden-Württemberg 78464, Germany.

Database : the Journal of Biological Databases and Curation
|September 24, 2021
PubMed
Summary
This summary is machine-generated.

The Quorum Sensing Database (QSDB) compiles human microbiome microbial interactions, detailing quorum sensing and quenching relationships. This resource aids in understanding microbial communication and gene regulation within the human body.

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Area of Science:

  • Microbiology
  • Systems Biology
  • Bioinformatics

Background:

  • The human microbiome's function is influenced by chemical interactions among its microbial inhabitants.
  • Microbial communities use quorum sensing to regulate group behaviors based on population density.

Purpose of the Study:

  • To create a comprehensive database of quorum sensing and quenching interactions in the human microbiome.
  • To provide an accessible platform for exploring microbial communication networks.

Main Methods:

  • Compilation of published sensing and quenching relations between human microbiome organisms and signaling molecules.
  • Development of an interactive web interface for database browsing.
  • Integration of Systems Biology Graphical Notation for visualizing mechanisms.

Main Results:

  • The Quorum Sensing Database (QSDB) now houses extensive data on microbial signaling.
  • QSDB offers graphical representations of quorum sensing pathways.
  • The database links to other relevant biological information resources.

Conclusions:

  • QSDB serves as a valuable resource for researchers studying microbial communication in the human microbiome.
  • The database facilitates a deeper understanding of gene regulation and community behavior.
  • QSDB promotes further investigation into the chemical ecology of the human microbiome.