Doddamani, Dadakhalandar ; Katta, Mohan AVSK ; Khan, Aamir W ; Agarwal, Gaurav ; Shah, Trushar M ; Varshney, Rajeev K (2014) CicArMiSatDB: the chickpea microsatellite database BMC Bioinformatics, 15 (1). ISSN 1471-2105
Full text not available from this repository.
Official URL: http://doi.org/10.1186/1471-2105-15-212
Related URL: http://dx.doi.org/10.1186/1471-2105-15-212
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.
Item Type: | Article |
---|---|
Source: | Copyright of this article belongs to BioMed Central Ltd. |
ID Code: | 125007 |
Deposited On: | 23 Dec 2021 09:21 |
Last Modified: | 23 Dec 2021 09:21 |
Repository Staff Only: item control page