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WheatQTLdb V2.0: a supplement to the database for wheat QTL
Kalpana Singh1,2, Dinesh Kumar Saini3, Gautam Saripalli1,4
1Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, 250004 Uttar Pradesh India.
Molecular Breeding : New Strategies in Plant Improvement
|June 14, 2023
Summary
The updated WheatQTLdb V2.0 database now includes quantitative trait loci (QTL) from eight wheat species, expanding its utility for researchers. This comprehensive resource aids in wheat breeding programs by providing extensive QTL data.
Area of Science:
- Agricultural Science
- Genetics
- Bioinformatics
Background:
- Quantitative Trait Loci (QTL) are crucial for understanding genetic variation in crop traits.
- Previous wheat QTL databases lacked comprehensive data from diverse wheat species and progenitors.
- An expanded database is needed to support advanced wheat research and breeding.
Purpose of the Study:
- To develop an updated and improved version of the wheat QTL database (WheatQTLdb V2.0).
- To incorporate QTL data from multiple wheat species beyond hexaploid wheat (Triticum aestivum).
- To enhance data accessibility and searchability for research and breeding applications.
Main Methods:
- Compilation of QTL data from hexaploid wheat and seven related species: Triticum durum, T. turgidum, T. dicoccoides, T. dicoccum, T. monococcum, T. boeoticum, and Aegilops tauschii.
- Inclusion of main effect QTL, epistatic QTL, and metaQTL.
- Development of advanced search and data retrieval functionalities.
Main Results:
- WheatQTLdb V2.0 now contains 27,518 main effect QTL, 202 epistatic QTL, and 1321 metaQTL.
- The database integrates QTL information from a broader range of wheat relatives.
- Enhanced search options allow for category-wise and trait-wise data selection.
Conclusions:
- WheatQTLdb V2.0 represents a significant expansion of available wheat QTL information.
- The database serves as a valuable resource for genetic studies and marker-assisted selection in wheat.
- Improved data accessibility facilitates the utilization of QTL information in crop improvement strategies.
