CannSelect: A high-quality genotyping platform for Cannabis sativa
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. The initial design successfully mapped day-neutrality in a segregating population to the Autoflower1 locus. After refinements were made to the design, CannSelect achieved an average percent selected of 88.5% in subsequent testing. 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.
Authors
- Dustin G. Wilkerson (ORCID: https://orcid.org/0000-0003-3996-7430)
- Lawrence B. Smart (ORCID: https://orcid.org/0000-0002-7812-7736)
- Michael A. Quade (ORCID: https://orcid.org/0009-0002-8395-8400)
- Craig H. Carlson (ORCID: https://orcid.org/0000-0003-2050-5455)
- George M. Stack (ORCID: https://orcid.org/0000-0002-5176-6925)
- Maylin J Murdock (ORCID: https://orcid.org/0000-0002-5785-4010)
- Caroline A. Dowling (ORCID: https://orcid.org/0000-0002-1184-7798)
- John McKay (ORCID: https://orcid.org/0000-0003-4311-5513)
- Jacob A. Toth (ORCID: https://orcid.org/0000-0002-0454-1619)
- Zachary J. Stansell (ORCID: https://orcid.org/0000-0003-4997-3383)
- Jean Jasinski
Institutions
- Agricultural Research Service (US)
- Agilent Technologies (United States) (US)
- Cornell University (US)
- Colorado State University (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-11-11
- DOI
- https://doi.org/10.1371/journal.pone.0357319
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- New York State Department of Agriculture and Markets
- Foundation for Food and Agriculture Research
- Irish Research Council