Journal article
CicArMiSatDB: the chickpea microsatellite database
BMC Bioinformatics, Vol.15(1), Art. 212
2014
Abstract
Background
Chickpea (Cicer arietinum) is a widely grown legume crop in tropical, sub-tropical and temperate regions. Molecular breeding approaches seem to be essential for enhancing crop productivity in chickpea. Until recently, limited numbers of molecular markers were available in the case of chickpea for use in molecular breeding. However, the recent advances in genomics facilitated the development of large scale markers especially SSRs (simple sequence repeats), the markers of choice in any breeding program. Availability of genome sequence very recently opens new avenues for accelerating molecular breeding approaches for chickpea improvement.
Description
In order to assist genetic studies and breeding applications, we have developed a user friendly relational database named the Chickpea Microsatellite Database (CicArMiSatDB http://cicarmisatdb.icrisat.org). This database provides detailed information on SSRs along with their features in the genome. SSRs have been classified and made accessible through an easy-to-use web interface.
Conclusions
This database is expected to help chickpea community in particular and legume community in general, to select SSRs of particular type or from a specific region in the genome to advance both basic genomics research as well as applied aspects of crop improvement.
Details
- Title
- CicArMiSatDB: the chickpea microsatellite database
- Authors/Creators
- D. Doddamani (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsM.A.V.S.K. Katta (Author/Creator)A.W. Khan (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsG. Agarwal (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsT.M. Shah (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsR.K. Varshney (Author/Creator) - International Crops Research Institute for the Semi-Arid Tropics
- Publication Details
- BMC Bioinformatics, Vol.15(1), Art. 212
- Publisher
- BioMed Central
- Identifiers
- 991005541349207891
- Copyright
- © 2014 The Authors.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Mathematical & Computational Biology
- ESI research areas
- Computer Science