Department of Horticulture, Washington State University, Pullman WA 99164, United States
Benjamin Killian
Department of Horticulture, Washington State University, Pullman WA 99164, United States; Department of Agriculture, African Christian University, Lusaka H985+XQ3, Zambia
Tyson Koepke
Department of Horticulture, Washington State University, Pullman WA 99164, United States
Rishikesh Ghogare
Department of Horticulture, Washington State University, Pullman WA 99164, United States
Nnadozie Oraguzie
Irrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA 99350, United States
Matthew Whiting
Irrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA 99350, United States
Lee A. Meisel
Instituto de Nutrición y Tecnología de Los Alimentos (INTA), Universidad de Chile, El Libano 5524, 7830490, Macul, Santiago, Chile
Herman Silva
Facultad de Ciencias Agronómicas, Laboratorio de Genómica Funcional & Bioinformática, Universidad de Chile, Av. Santa Rosa 11315, 8820808, La Pintana, Santiago, Chile
Amit Dhingra
Department of Horticulture, Washington State University, Pullman WA 99164, United States; Department of Horticultural Sciences, Texas A&M University, College Station, Texas 77843, United States; Corresponding author at: Department of Horticultural Sciences, Texas A&M University, College Station, Texas 77843, United States.
Prunus avium cv. ‘Stella’ total cellular DNA was isolated from emerging leaf tissue and sequenced using Roche 454 GS FLX Titanium, and Illumina HiSeq 2000 High Throughput Sequencing (HTS) technologies. Sequence data were filtered and trimmed to retain nucleotides corresponding to Phred score 30, and assembled with CLC Genomics Workbench v.6.0.1. A total of 107,531 contigs were assembled with 185 scaffolds with a maximum length of 132,753 nucleotides and an N50 value of 4,601. The average depth of coverage was 135.87 nucleotides with a median depth of coverage equal to 31.50 nucleotides. The draft ‘Stella’ genome presented here covers 77.8% of the estimated 352.9Mb P. avium genome and is expected to facilitate genetics and genomics research focused on identifying genes and quantitative trait loci (QTL) underlying important agronomic and consumer traits.
