The repetitive sequence database and mining putative regulatory elements in gene promoter regions

Area of Science:

• Genomics
• Bioinformatics
• Evolutionary Biology

Background:

• Repetitive elements constitute a significant portion of eukaryotic genomes, with 43% in humans and 51% in rice.
• These elements play a potentially vital role in evolutionary genomics.

Purpose of the Study:

• To introduce the Repetitive Sequence Database (RSDB) for classifying and analyzing repetitive elements.
• To develop a method for identifying putative transcription factor binding sites by analyzing overrepresented repetitive elements in gene promoter regions.

Main Methods:

• Development of the RSDB database with categories: exact, tandem, and similar repetitive elements.
• Implementation of query interfaces for statistical data, including gene-repetitive element relationships and cross-organism comparisons.
• Application of a computational approach to mine repetitive elements in promoter regions of functionally related genes in Saccharomyces cerevisiae.

Main Results:

• The RSDB database provides classification and analysis tools for repetitive elements.
• The study identified associations between overrepresented repetitive elements and known regulatory sites in yeast promoter regions.
• These associations suggest potential transcription factor binding sites.

Conclusions:

• RSDB is a valuable resource for studying repetitive elements and their role in genome evolution.
• The proposed method effectively identifies potential transcription factor binding sites within repetitive elements.
• The findings contribute to understanding gene regulation and evolutionary genomics.