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Updated: Jun 22, 2026

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DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
Published on: July 21, 2014
[Modeling evolution of regulatory signals for gene expression in bacteria]
Molekuliarnaia Biologiia
|June 25, 2009
Summary
This study presents a novel model and algorithm to predict RNA secondary structures and evolutionary relationships of regulatory signals across species. The method accurately reconstructs ancestral RNA structures and alignments, aiding in understanding gene regulation evolution.
Area of Science:
- Computational Biology
- Bioinformatics
- Evolutionary Biology
Context:
- Understanding the evolution of regulatory elements is crucial for deciphering gene regulation across species.
- RNA secondary structure plays a significant role in regulatory signal function and evolution.
- Phylogenetic analysis provides a framework for studying evolutionary relationships and ancestral states.
Purpose:
- To develop a computational model and algorithm for inferring the evolutionary history of RNA regulatory signals.
- To incorporate RNA secondary structure into evolutionary models of regulatory elements.
- To reconstruct ancestral primary and secondary RNA structures and generate multiple sequence alignments.
Summary:
- A novel model for the evolution of regulatory signals along a phylogenetic tree, considering RNA secondary structure, is proposed.
- An algorithm is presented that takes extant primary RNA structures at the leaves of a phylogenetic tree and computes structures for all internal nodes.
- The algorithm also generates a multiple alignment of extant regulatory signal sites, incorporating secondary structure information.
Impact:
- The developed algorithm has been successfully implemented and validated on biological data from bacterial regulatory systems.
- This approach provides a powerful tool for studying the co-evolution of RNA structure and function in regulatory elements.
- Enables deeper insights into the mechanisms of gene regulation and its evolutionary trajectory in prokaryotes.
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