Contributors: Supercomputing Core Lab, King Abdullah University of Science and Technology (KAUST) , 4700 KAUST, Thuwal 23955-6900, Saudi Arabia; Bioscience Program; Office of the Provost; Biological and Environmental Science and Engineering (BESE) Division; Center for Desert Agriculture; Supercomputing, Computational Scientists; Plant Science; Plant Science Program; Department of Plant Science and Landscape Architecture, University of Maryland , Fieldhouse Dr. College Park, MD 20742, USA; Department of Plant and Microbial Biology, University of Zurich , 107, Zurich, Zollikerstrasse CH-8008, Switzerland; Wheat Genetics Resource Center and Department of Plant Pathology, Kansas State University , 4024 Throckmorton, 1712 Claflin Road, Manhattan, KS 66506, USA; John Innes Centre John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK; INRAE, CNRGV French Plant Genomic Resource Center , 24 Chemin de Borde Rouge, Castanet Tolosan F-31320, France; United States Department of Agriculture—Agricultural Research Service, Western Regional Research Center, Crop Improvement and Genetics Research Unit , 800 Buchanan St., Albany, CA 94710, USA
Abstract: Diploid A-genome wheat (einkorn wheat) presents a nutrition-rich option as an ancient grain crop and a resource for the improvement of bread wheat against abiotic and biotic stresses. Realizing the importance of this wheat species, reference-level assemblies of two einkorn wheat accessions were generated (wild and domesticated). This work reports an einkorn genome database that provides an interface to the cereals research community to perform comparative genomics, applied genetics and breeding research. It features queries for annotated genes, the use of a recent genome browser release, and the ability to search for sequence alignments using a modern BLAST interface. Other features include a comparison of reference einkorn assemblies with other wheat cultivars through genomic synteny visualization and an alignment visualization tool for BLAST results. Altogether, this resource will help wheat research and breeding. Database URL https://wheat.pw.usda.gov/GG3/pangenome ; The authors acknowledge the funding support (Grant No. 2022-67013-36362 GRANT13368004) and 2020-67013-31460 (GRANT12907726), respectively) received from the National Institute of Food and Agriculture (NIFA) for conducting this study. Authors also acknowledge funding support from United State Department of Agriculture ARS (ARS Project 2030-21000-056-000D) to Dr. Gerard Lazo. Authors also acknowledge the support from UMD’s High Performance Computing resource (HPC)
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