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Related Experiment Video

Updated: Jul 5, 2026

Discovering Protein Interactions and Characterizing Protein Function Using HaloTag Technology

Discovering Protein Interactions and Characterizing Protein Function Using HaloTag Technology

Published on: July 12, 2014

Genomics and functional genomics with haloarchaea.

J Soppa¹, A Baumann, M Brenneis

¹Biocentre, Institute for Molecular Biosciences, Goethe University, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany. soppa@bio.uni-frankfurt.de

Archives of Microbiology

|May 22, 2008

Summary

Genomic and functional genomic studies reveal insights into haloarchaeal metabolism and stress responses. Advanced molecular genetics and systems biology approaches are advancing our understanding of these extremophiles.

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Area of Science:

Microbiology
Genomics
Systems Biology

Background:

The first haloarchaeal genome was sequenced in 2000, with five available today.
Functional genomic analyses (transcriptome, proteome, translatome) have expanded significantly in recent years.

Purpose of the Study:

To summarize the current status of genomics, functional genomics, and molecular genetics in haloarchaea.
To discuss selected examples of recent advancements and their implications.

Main Methods:

Genome sequencing and comparative genomics.
Transcriptome, proteome, and translatome analyses.
Development of gene deletion mutant construction methods.
Systems biology approaches integrating experimental data for predictive modeling.

Main Results:

Global overviews of metabolic regulation (respiration, phototrophy) and stress responses (UV, osmotic, temperature).
Identification of translationally regulated transcripts (10-20% in studied species).
Advancements in creating gene deletion mutants for functional studies.
Initial systems biology models for gene expression and metabolism.

Conclusions:

Genomics and functional genomics have provided comprehensive insights into haloarchaeal biology.
Molecular genetics tools are crucial for elucidating gene functions.
Systems biology approaches are emerging for predictive modeling in haloarchaea.