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CicArMiSatDB: the chickpea microsatellite database
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 chi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230034/ https://www.ncbi.nlm.nih.gov/pubmed/24952649 http://dx.doi.org/10.1186/1471-2105-15-212 |
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author | Doddamani, Dadakhalandar Katta, Mohan AVSK Khan, Aamir W Agarwal, Gaurav Shah, Trushar M Varshney, Rajeev K |
author_facet | Doddamani, Dadakhalandar Katta, Mohan AVSK Khan, Aamir W Agarwal, Gaurav Shah, Trushar M Varshney, Rajeev K |
author_sort | Doddamani, Dadakhalandar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4230034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42300342014-11-14 CicArMiSatDB: the chickpea microsatellite database Doddamani, Dadakhalandar Katta, Mohan AVSK Khan, Aamir W Agarwal, Gaurav Shah, Trushar M Varshney, Rajeev K BMC Bioinformatics Database 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. BioMed Central 2014-06-21 /pmc/articles/PMC4230034/ /pubmed/24952649 http://dx.doi.org/10.1186/1471-2105-15-212 Text en Copyright © 2014 Doddamani et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Database Doddamani, Dadakhalandar Katta, Mohan AVSK Khan, Aamir W Agarwal, Gaurav Shah, Trushar M Varshney, Rajeev K CicArMiSatDB: the chickpea microsatellite database |
title | CicArMiSatDB: the chickpea microsatellite database |
title_full | CicArMiSatDB: the chickpea microsatellite database |
title_fullStr | CicArMiSatDB: the chickpea microsatellite database |
title_full_unstemmed | CicArMiSatDB: the chickpea microsatellite database |
title_short | CicArMiSatDB: the chickpea microsatellite database |
title_sort | cicarmisatdb: the chickpea microsatellite database |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230034/ https://www.ncbi.nlm.nih.gov/pubmed/24952649 http://dx.doi.org/10.1186/1471-2105-15-212 |
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