- Open Access
RICD: A rice indicacDNA database resource for rice functional genomics
- Tingting Lu†1,
- Xuehui Huang†1,
- Chuanrang Zhu†1,
- Tao Huang1,
- Qiang Zhao1,
- Kabing Xie2,
- Lizhong Xiong2,
- Qifa Zhang2 and
- Bin Han1Email author
© Lu et al; licensee BioMed Central Ltd. 2008
- Received: 10 April 2008
- Accepted: 26 November 2008
- Published: 26 November 2008
The Oryza sativa L. indica subspecies is the most widely cultivated rice. During the last few years, we have collected over 20,000 putative full-length cDNAs and over 40,000 ESTs isolated from various cDNA libraries of two indica varieties Guangluai 4 and Minghui 63. A database of the rice indica cDNAs was therefore built to provide a comprehensive web data source for searching and retrieving the indica cDNA clones.
Rice Indica cDNA Database (RICD) is an online MySQL-PHP driven database with a user-friendly web interface. It allows investigators to query the cDNA clones by keyword, genome position, nucleotide or protein sequence, and putative function. It also provides a series of information, including sequences, protein domain annotations, similarity search results, SNPs and InDels information, and hyperlinks to gene annotation in both The Rice Annotation Project Database (RAP-DB) and The TIGR Rice Genome Annotation Resource, expression atlas in RiceGE and variation report in Gramene of each cDNA.
The online rice indica cDNA database provides cDNA resource with comprehensive information to researchers for functional analysis of indica subspecies and for comparative genomics. The RICD database is available through our website http://www.ncgr.ac.cn/ricd.
- Indica Variety
- NCBI Accession Number
- Rice Genetic
- Rice Annotation Project
Sources of indica cDNA sequences in the RICD database.
Number of cDNAs
Number of cDNAs matching IRGSP 4*
Number of cDNAs matching TIGR Gene**
Guangluai 4 FL-cDNA
Minghui 63 FL-cDNA
Guangluai 4 5'EST
Minghui 63 5'EST
RICD was developed to provide a handy way to access all the available indica cDNA sources and be integrated with comprehensive information, which includes encoded amino acid sequence information, the mapping information, the protein domain information, the results of similarity search, gene function annotation and so on. Several search and retrieval forms were developed to create a comprehensive data warehouse for rice functional genomics and comparative genomics research.
RICD is a relational database, and was developed using MySQL 4.1. The database was implemented on a server running Red Hat Enterprise Linux AS release 4 (×86). The web interface was constructed by using PHP scripts (PHP Version 4.3), and powered by an Apache server (Apache Version 2.0).
The Oryza sativa L. indica Guangluai-4 cDNAs were generated from five types of cDNA libraries . The libraries included: (1) Seedlings grown in water for two weeks with a cycle of 16 hours light and 8 hours dark at 30°C; (2) Panicles harvested from rice grown in paddy fields; (3) Root grown in water for two weeks with a cycle of 16 hours light and 8 hours dark at 30°C; (4) Two-day germinated shoots and roots collected when roots reached 1–2 cm long; (5) Two-week seedlings treated individually with various stresses, that is, high-salinity (100 mM NaCl, treated for 20 min, 3, 12, 24, 48 h, 3 days and recovered for 72 h), dehydration (15% PEG-4000, treated for the same time duration as high-salinity), cold (60°C for 1, 12, 24, 48 h, 3 days and recovered for 72 h), heat (45°C, for the same time duration as cold), or immersion under water (for 1, 12, 24, 48 h, 3, 5 days). The Oryza sativa L. indica Minghui-63 cDNAs were from a normalized whole-life-cycle cDNA library, which was constructed by use of 15 tissues collected from 9 developmental stages .
The cDNAs and TIGR rice genes were remapped to IRGSP pseudomolecules Build 4 [3, 10] using the GMAP program . Over 90% putative full-length cDNAs of Guangluai 4 and Minghui 63 could be matched to rice IRGSP pseudomolecules, and 76.2% of Guangluai 4 cDNAs and 64.5% of Minghui 63 cDNAs could be matched to TIGR gene loci, respectively. In addition, > 76% 5' ESTs of Guangluai 4 and Minghui 63 were matched to IRGSP pseudomolecules, and > 40% of them could be matched to TIGR gene loci. The cDNAs were annotated according to RAP-DB  and TIGR systems . Other sequence analysis was performed as described previously .
The BLAST program (version 2.2) is integrated into RICD for sequence search. Either nucleotide sequence (BLASTN) or protein sequence (TBLASTN) can be used as query to search all indica cDNAs or any subset of the database, with an initial cut-off E value as 0.01 . A typical BLAST result page displays cDNAs matching the query, with their clone ID and the sequence alignments.
The cDNA of the database can be searched directly using clone name, NCBI accession number, RAP gene locus ID, or TIGR gene locus ID. The NCBI accession number commonly starts with the two characters "CT". And two separate 'gene locus ID search' sections, for RAP gene locus ID and TIGR gene locus ID, were given. The querying result will show a list of entries that are linked to the individual cDNA clones.
Chromosome position search
Two tools were designed for users to look up cDNAs in the rice genome. One shows in table form, naming "Clone list". You can directly enter the appointed region to get a list of cDNAs in the region, each of which can be further entered individually. A separate web page is provided for listing the putative indica-specific cDNAs, which cannot be mapped into IRGSP pseudomolecules Build 4. You can also choose a browser tool "mapping view" to visualize the graphic display. The main browser display contains two main parts. On the top are the scales for users to specify a particular region in the genome. On the bottom shows a series of cDNAs in the database, and also RAP-DB and TIGR gene loci. Upon clicking one, users can enter into result display page of the cDNA clone.
cDNA report display
The initial aim of RICD is to provide a convenient way to search and retrieve incdia cDNA clone for research community. Via integrating with comprehensive information, it tries to grow to be a platform for broad applications to rice genetics, breeding and comparative genomics. Future expansion plans of the database include recruiting more indica cDNA clones, cataloging splice variants and adding gene expression data from indica cDNA microarray. The RICD database will be updated frequently if more information becomes available.
The RICD resource can be freely accessed via http://www.ncgr.ac.cn/ricd.
The cDNA clones in the database can be requested for research purpose by contacting Tingting Lu firstname.lastname@example.org
We thank Lei Zhang (National Center for Gene Research) for offering the opinions of database construction. This research was supported by the grants from the Ministry of Science and Technology of China (The China Rice Functional Genomics Programs, grant numbers 2006AA10A102 and 2005CB120805), the Chinese Academy of Sciences (grant no. KSCW2-YW-N-024).
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