- Open Access
BRAD, the genetics and genomics database for Brassica plants
© Cheng et al; licensee BioMed Central Ltd. 2011
- Received: 14 July 2011
- Accepted: 13 October 2011
- Published: 13 October 2011
Brassica species include both vegetable and oilseed crops, which are very important to the daily life of common human beings. Meanwhile, the Brassica species represent an excellent system for studying numerous aspects of plant biology, specifically for the analysis of genome evolution following polyploidy, so it is also very important for scientific research. Now, the genome of Brassica rapa has already been assembled, it is the time to do deep mining of the genome data.
BRAD, the Brassica database, is a web-based resource focusing on genome scale genetic and genomic data for important Brassica crops. BRAD was built based on the first whole genome sequence and on further data analysis of the Brassica A genome species, Brassica rapa (Chiifu-401-42). It provides datasets, such as the complete genome sequence of B. rapa, which was de novo assembled from Illumina GA II short reads and from BAC clone sequences, predicted genes and associated annotations, non coding RNAs, transposable elements (TE), B. rapa genes' orthologous to those in A. thaliana, as well as genetic markers and linkage maps. BRAD offers useful searching and data mining tools, including search across annotation datasets, search for syntenic or non-syntenic orthologs, and to search the flanking regions of a certain target, as well as the tools of BLAST and Gbrowse. BRAD allows users to enter almost any kind of information, such as a B. rapa or A. thaliana gene ID, physical position or genetic marker.
BRAD, a new database which focuses on the genetics and genomics of the Brassica plants has been developed, it aims at helping scientists and breeders to fully and efficiently use the information of genome data of Brassica plants. BRAD will be continuously updated and can be accessed through http://brassicadb.org.
- Double Haploid
- Brassica Species
- Brassica Plant
- Syntenic Gene
- Genome Triplication
Brassica species belong to the Brassicaceae family, which contains about 3700 species from 338 genera, including the widely studied model plant Arabidopsis thaliana. Brassica species include both vegetable and oilseed crops that contribute about 10% of the world's vegetable production and about 12% of world's edible vegetable oil production [1, 2]. The diploid genomes of the six widely cultivated Brassica species are described by the famous "U's triangle" (genome A, B, C, AB, BC and AC, corresponding to B. rapa, B. oleracea, B. nigra, B. juncea, B. napus, and B. carinata, respectively . The A genome species, B. rapa, is a major vegetable and also an oil crop in Asia and Europe. Because of their importance as crops and as models to study complex genome hybridization and polyploidization [4, 5], genetic and genomic research on Brassicas has intensified over recent years, generating ever increasing sets of data, such as Brassica genome sequences, genetic markers, expressed sequence tags (ESTs) and quantitative trait loci (QTLs).
The recently completed initial assembly of the whole genome sequence of the B. rapa cultivar line 'Chiifu-401' is now available . Based on the needs of the Brassica research community and on the distribution of the bulk genomic data, BRAD has been built. It was developed as an important repository for whole genome scale genetic and genomic data and for related resources of Brassica crops. BRAD was also designed as an initial access point for other related web pages and specialized datasets. It now provides datasets of the Brassica A genome (B. rapa, Chiifu-401), including the de novo assembled genome sequence derived from second-generation sequencing technologies and from BAC end sequences, predicted genes, associated annotations (InterPro, KEGG2, SwissProt), as well as genetic markers and maps of B. rapa.
In this article we present an overview of the major sections of BRAD, and introduce a keyword searching tool that we have developed and the tools of BLAST and Gbrowse that enable data mining in BRAD.
In this section, BRAD provides 1, 160 genetic markers from three population lines of B. rapa: RCZ16_DH, JWF3P, and VCS_DH. These markers, including 758 SSR and 402 InDel markers, cover all ten chromosomes [7, 8]. RCZ16_DH is a population developed from a cross between a rapid cycling line, L144, and a summer type Chinese cabbage double haploid (DH) line, Z16 . There are 119 DH lines in this population. Markers of RCZ16_DH were developed based on resequence data of the parents L144 and Z16. By aligning the resequence data to the assembled genome of Chiifu-401, we obtained 26, 693 InDel markers between L144 and Z16, of which 402 markers were used to anchor the de novo assembled scaffolds to the 10 chromosomes. The other two maps, JWF3P and VCS_DH, were integrated from the public database http://www.brassica-rapa.org to offer users more options.
The comparison of genes between B. rapa and A. thaliana.
There are six annotation datasets collected here: Swissprot annotation, Trembl annotation, KEGG annotation, InterPro domain annotation, Gene Ontology and the BLASTX (best hit) of B. rapa to A. thaliana. Swissprot and Trembl annotations are generated by BLASTP best hit (cutoff E-value: 1e-5) of predicted B. rapa proteins in the Swiss-Prot and TrEMBL databases; B. rapa genes are then mapped to KEGG pathway maps based on the best hit from the Swiss-Prot database; InterPro is used to annotate motifs and domains in B. rapa genes by comparison to public databases, including Pfam, PRINTS, PROSITE, ProDom and SMART using applications hmmpfam, fprintscan, ScanRegExp profilescan, blastprodom, and hmmsmart. Gene Ontology information is extracted from the InterPro results. We also use orthologous genes between B. rapa and the model plant A. thaliana to annotate B. rapa genes. These datasets are used to annotate predicted genes according to different aspects, such as nucleotide sequences, proteins and domains.
2) Orthologous genes
Syntenic and non-syntenic orthologs between A. thaliana and B. rapa were provided in BRAD to help users to link B. rapa gene information to that of the well studied model plant A. thaliana.
BRAD presents a set of genes that show conserved synteny between A. thaliana and the three subgenomes of B. rapa (the three subgenomes originated from genome triplication), and that are listed according to the genes' order in A. thaliana. We determined a gene-pair to be in synteny not only by their sequence homozygosity but also by the homozygosity of their flanking genes. With this rule, 30, 773 syntenic pairs between B. rapa and A. thaliana were obtained, and there were 9, 293, 6, 683 and 2, 346 A. thaliana genes which have 1, 2 and 3 paralogous copies in the B. rapa's subgenomes LF, MF1, and MF2, respectively. LF, MF1 and MF2 are abbreviations for less fractionized, more fractionized 1 and more fractionized 2, respectively, denoting subgenomes with more or fewer genes retained. We separated the three subgenomes according to comparative analysis with the A. thaliana genome and then with respect to both gene orders and gene densities of the subgenomes .
Non-syntenic genes between A. thaliana and B. rapa were determined under two rules. First, the parameters of BLASTP alignment should be satisfied: identity > 70%, coverage of A. thaliana gene > 75%, coverage of B. rapa gene > 75%. Second, two genes from an orthologous pair should not be syntenic genes. Totally, there were 17, 159 such non-syntenic orthologous pairs determined.
3) Flanking region searching
This section was developed to help users find genomic elements that are co-located with or that flank a region of interest. Users can input a physical position, for example of a gene ID or genetic marker, to perform the search. All the genomic features, such as genes, transposons, RNAs (miRNA, tRNA, rRNA and snRNA) that are located near the searched region are collected and displayed in a table. A link to Gbrowse provides an option to visualize the search region under the background of the chromosome. This is a useful tool for certain studies, such as the fine mapping of QTLs. Once QTLs have been obtained, markers can be aligned to the genome sequence with the BLAST tool to get the physical positions of the markers. The flanking region of these markers can then be searched to locate candidate genomic elements, such as genes or miRNAs, which might be the causal factors of the QTLs.
As research progresses, we will further enable the searching of flanking regions by adding more datasets, making it an integrative and valuable resource pool for molecular geneticists, breeders and all other researchers who are interested in Brassica plants.
BLAST and Genome browse (Gbrowse) are embedded to help users mine and visualize the genome data.
We utilized the standard wwwblast modules to help users perform sequence analysis. BLAST databases, such as genome, gene and protein sequences of B. rapa, EST sequences of B. rapa, Brassicas, and Cruciferaes are provided here.
2) Genome browse (Gbrowse)
We used the Genome Browser tools developed by the Generic Model Organism Database Project, http://gmod.org to visualize the genome of B. rapa . Three major levels are displayed: genome segment, flanking region of the search area and the exact target. We now provide predicted genes, transposons, multiple types of RNA sets, genetic markers in Gbrowse.
In addition to the Browse, search, and tools described above, BRAD provides bulk data downloads, including genome and gene sequences, gene annotations and other predicted genomic elements. In addition, BRAD makes numerous community resources available either as data or as website links. These include other websites of laboratories focusing on Brassicaceae, meetings of potential interest to Brassica researchers and collections of sites about Brassica breeding.
General guidelines for using BRAD
Browse genetic markers and maps.
Search using annotations and Syntenic genes.
Gbrowse: genome visulization.
For each marker in the part of Browse genetic markers and maps, we present its genetic and physical positions and primer information and the parental populations. Users can access these data in the Browse section by following order: chromosome selection → population specification → detailed marker information → click marker ID for primer information.
In section of search using annotations, users can find genes with functions of interest by submitting a keyword, such as flower or growth, then relevant records will be selected from the six annotation datasets as described above. Clicking on the selected records will then lead users to genes with annotations related to the keyword. A further click of the gene ID will provide users with more further information of this gene in BRAD.
The search navigation
A few databases of Brassica rapa, such as BrassEnsembl database http://www.brassica.info/BrassEnsembl/index.html, CropStore database http://www.cropstoredb.org/brassica/, and Brassica Genome Database http://www.plantgdb.org/BrGDB/, mainly focused on genome data dissemination (CropStore, Brassica Genome Database) and visualization (BrassEnsembl). BRAD was built to help users to mine data from the genome sequence of Brassica rapa easily and effectively, it had its own specific features and advantages when comparing to existing databases. First, BRAD made accurate and useful links from the bulk information of model plant A. thaliana to the newly assembled genome of B. rapa and offered detail annotation of B. rapa genes, it provided features as syntenic and non-syntenic orthologs between A. thaliana and B. rapa, main gene families in B. rapa according to that in A. thaliana, gene annotation information from multiple annotation databases (KEGG, InterPro, Swissprot, Tremble), etc. Second, BRAD was an initial genome data repository of B. rapa, other databases used or will use data in BRAD as basic data to develop their specific functions, we will improve and continuously update the assembled genome and release it in BRAD.
BRAD will include data sets of all Brassica plants (such as B. oleracea, B. nigra and B. napus) when they are available. In addition, new data will be processed first and then appropriately integrated or linked to the existing datasets. The data types listed below will soon be added to BRAD:
- browse of gene families, such as families of NBS genes, Auxin genes, Transcription factor genes, etc.
- allele data and frequencies of genetic markers generated from genome resequences of different lines of B. rapa.
- haplotypes (derived from SNPs mapping) of the B. rapa germplasm collection.
- levels of gene expression generated from transcriptome data in different organs of B. rapa.
- synteny browser of B. rapa to B. oleracea.
BRAD, a new database which focuses on the genetics and genomics of the Brassica plants has been developed. Comparing with the existing database of Brassica plants, BRAD has its specific functions and advantages, specially for its annotations and deep mining of the recently assembled genome of B. rapa, as well as the use of the information from the model plant A. thaliana. Aimed at helping scientists and breeders to fully and efficiently use the information of genomics and genetics datasets of Brassica plants, BRAD will continuously improve its applications and integrate more available datasets in the future. We propose that BRAD will be a valuable resource for the scientists of comparative genomics, plant evolution, and molecular biology, and the breeders of Brassiceae.
Database name: BRAD
Database homepage: http://brassicadb.org
Browser requirement: the application is optimized for Internet Explorer. However, it also works well with Mozilla Firefox and Safari.
Datasets in BRAD are freely available. Please use the link 'Contact Us' on the BRAD homepage or email Dr. Xiaowu Wang firstname.lastname@example.org to request specific data subsets.
Acknowledgements and funding
We are grateful to all laboratory members who gave their advice during this work, thank Zhonghua Zhang and Lu Cai for their supports in establishing BRAD server.
This work was funded by the Chinese Ministry of Science and Technology, National Basic Research Program of China (2006CB101606, 2007CB108803, 2012CB113901, 2012CB113906), the National High Technology R&D Program of China (2006AA100108), and the China International Science and Technology Cooperation Project (2010DFA31730) to X.W., and also the National Natural Science Foundation of China (30800753), the European Community financial participation under the Seventh Framework Programme for Research, Technological Development and Demonstration Activities, through the Integrated Project NUE-CROPS FP7-CP-IP 222645 to J.W.
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