CannSelect: A High-Quality Genotyping Platform for Cannabis sativa
Dustin G. WilkersoniD, George M. StackiD, Craig H. CarlsoniD, Michael A. QuadeiD, Caroline A. DowlingiD, Jacob A. TothiD, Maylin J MurdockiD, Jean Jasinski, Zachary J. StanselliD, John McKayiD, Lawrence B. SmartiD
Abstract
The field of genomics has enabled extraordinary progress in horticultural crop research. However, there is still a need for cost-effective, high-resolution technologies flexible to the diversity found in emerging crops. To this end, we introduce CannSelect, a high-quality genotyping platform for Cannabis sativa. Designed for use in diversity analyses and trait mapping, probe targets were selected from four genotyped diversity panels and a curated gene list. This platform has been used to effectively map day-neutrality in a segregating population to the Autoflower1 locus with average capture efficiencies of 88.5%. With broad genome coverage, demonstrated target specificity, and reproducibility, CannSelect is expected to perform well across the diversity of C. sativa. We describe the methodology used to design CannSelect v1.0 and performance metrics for testing capture efficiency and target alignment in diverse genome assemblies. The CannSelect platform represents a robust and scalable, genome-wide genotyping tool for C. sativa researchers and breeders.
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