Journal article
CicArVarDB: SNP and InDel database for advancing genetics research and breeding applications in chickpea
Database, Vol.2015, Art. bav078
2015
Abstract
Molecular markers are valuable tools for breeders to help accelerate crop improvement. High throughput sequencing technologies facilitate the discovery of large-scale variations such as single nucleotide polymorphisms (SNPs) and simple sequence repeats (SSRs). Sequencing of chickpea genome along with re-sequencing of several chickpea lines has enabled the discovery of 4.4 million variations including SNPs and InDels. Here we report a repository of 1.9 million variations (SNPs and InDels) anchored on eight pseudomolecules in a custom database, referred as CicArVarDB that can be accessed at http://cicarvardb.icrisat.org/ . It includes an easy interface for users to select variations around specific regions associated with quantitative trait loci, with embedded webBLAST search and JBrowse visualisation. We hope that this database will be immensely useful for the chickpea research community for both advancing genetics research as well as breeding applications for crop improvement.
Details
- Title
- CicArVarDB: SNP and InDel database for advancing genetics research and breeding applications in chickpea
- Authors/Creators
- D. Doddamani (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsA.W. Khan (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsM.A.V.S.K. Katta (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsG. Agarwal (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsM. Thudi (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsP. Ruperao (Author/Creator) - The University of QueenslandD. Edwards (Author/Creator) - The University of Western AustraliaR.K. Varshney (Author/Creator) - International Crops Research Institute for the Semi-Arid Tropics
- Publication Details
- Database, Vol.2015, Art. bav078
- Publisher
- Oxford University Press
- Identifiers
- 991005544097807891
- Copyright
- © 2015 The Authors.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Mathematical & Computational Biology
- ESI research areas
- Biology & Biochemistry