WheatQTLdb V2.0: a supplement to the database for wheat QTL

• Published in: Molecular breeding Vol. 42; no. 10; p. 56
• Main Authors: Singh, Kalpana, Saini, Dinesh Kumar, Saripalli, Gautam, Batra, Ritu, Gautam, Tinku, Singh, Rakhi, Pal, Sunita, Kumar, Manoj, Jan, Irfat, Singh, Sahadev, Kumar, Anuj, Sharma, Hemant, Chaudhary, Jyoti, Kumar, Kuldeep, Kumar, Sourabh, Singh, Vikas Kumar, Singh, Vivudh Pratap, Kumar, Deepak, Sharma, Shiveta, Kumar, Sachin, Kumar, Rahul, Sharma, Shailendra, Gaurav, Shailendra Singh, Sharma, Pradeep Kumar, Balyan, Harindra Singh, Gupta, Pushpendra Kumar
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.10.2022; Springer Nature B.V
• Subjects: Aegilops tauschii; Application programming interface; Biomedical and Life Sciences; Biotechnology; Economic importance; Efficiency; Epistasis; Genetics; Genomes; Goat grass; Life Sciences; Molecular biology; Physiology; Plant biology; Plant Genetics and Genomics; Plant Pathology; Plant Physiology; Plant Sciences; Quantitative trait loci; Short Communication; Triticum aestivum; Triticum boeoticum; Triticum dicoccoides; Triticum dicoccum; Triticum durum; Triticum monococcum; Triticum turgidum; Wheat; QTL; metaQTL; Wheat; QTL database; Epistatic QTL
• ISSN: 1380-3743; 1572-9788
• DOI: 10.1007/s11032-022-01329-1

We recently developed a database for hexaploid wheat QTL (WheatQTLdb; www.wheatqtldb.net ), which included 11,552 QTL affecting various traits of economic importance. However, that database did not include valuable QTL from other wheat species and/or progenitors of hexaploid wheat. Therefore, an updated and improved version of wheat QTL database (WheatQTLdb V2.0) was developed, which now includes information on hexaploid wheat ( Triticum aestivum ) and the following seven other related species: T. durum , T. turgidum , T. dicoccoides , T. dicoccum , T. monococcum , T. boeoticum , and Aegilops tauschii . WheatQTLdb V2.0 includes a much-improved list of QTL, including 27,518 main effect QTL, 202 epistatic QTL, and 1321 metaQTL. This newly released WheatQTLdb V2.0 also has additional valuable options to search and choose the QTL, category-wise, and trait-wise data for their use in research or breeding programs.