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RiTE database: a resource database for genus-wide rice genomics and evolutionary biology
Dario Copetti1,2, Jianwei Zhang3, Moaine El Baidouri4,5
1Arizona Genomics Institute, BIO5 Institute and School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, United States. dcopetti@email.arizona.edu.
BMC Genomics
|July 22, 2015
Summary
The Rice TE database (RiTE-db) offers a comprehensive collection of transposable elements and repeated sequences across the Oryza genus. This resource enables new comparative studies of nuclear repeat content across millions of years of rice evolution.
Area of Science:
- Genomics
- Evolutionary Biology
- Bioinformatics
Background:
- Accurate whole-genome analysis necessitates comprehensive annotation of both gene space and repetitive DNA sequences.
- Repetitive fractions constitute a significant portion of many eukaryotic genomes, impacting evolutionary studies.
Purpose of the Study:
- To establish a genus-wide database of transposable elements (TEs) and repeated sequences for the genus Oryza.
- To facilitate comparative evolutionary analyses by providing a unified resource for repeat content.
Main Methods:
- Compiled a genus-wide collection of TEs and repeated sequences from 11 diploid Oryza species and one out-group.
- Integrated publicly available sequences, consensus assemblies from genome surveys, and full-length TEs from whole genome assemblies.
- Developed a database with over 170,000 entries, including classified sequences, consensus assemblies, and identified full-length TEs.
Main Results:
- The Rice TE database (RiTE-db) contains over 170,000 entries, representing a broad spectrum of repeat variability within the Oryza genus.
- The database includes classified public repeats, consensus assemblies of highly repetitive sequences, and full-length transposable elements.
- RiTE-db provides tools for sequence browsing, downloading, and similarity searches.
Conclusions:
- RiTE-db is the first comprehensive repeat dataset covering extensive variability within an entire genus, including complete and unassembled elements.
- This resource enables unprecedented direct comparative studies of nuclear repeat content across 15 million years of Oryza evolution.
- The database significantly advances the study of repetitive DNA in comparative genomics and evolutionary biology.
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