2020
DOI: 10.1101/2020.02.16.951459
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A Single Nucleotide Polymorphism assay sheds light on the extent and distribution of genetic diversity, population structure and functional basis of key traits in cultivated North American Cannabis

Abstract: BackgroundThe taxonomic classification of the Cannabis genus has been delineated through three main types: sativa (long and less branched plant with long and narrow leaves), indica (short but highly branched plant with broader leaves) and ruderalis (wild type with short stature, less branching and small thick leaves). While still under discussion, particularly whether the genus is polytypic or monotypic, this broad classification reflects putative geographical origin of each group and putative chemotypic and p… Show more

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Cited by 5 publications
(7 citation statements)
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“…Key findings include: the genome‐wide distinction between drug and hemp types that resulted from selective breeding; the association between chemotypic identity and variation of loci encoding cannabinoid synthases; and errors in cultivar classification and ancestry by breeders (Van Bakel et al ., 2011; Sawler et al ., 2015; Lynch et al ., 2016; Soorni et al ., 2017). These findings are likely to facilitate the development of more accurate diagnostic systems for cannabis germplasm to assist with product compliance, traceability, provenance and consumer education (Henry et al ., 2020). Domestication and intensive breeding have narrowed the genetic and allelic diversity of cannabis gene pools (Sawler et al ., 2015; Soorni et al ., 2017).…”
Section: Cannabis Sativa Genomics Resources and The Discoveries They mentioning
confidence: 99%
See 2 more Smart Citations
“…Key findings include: the genome‐wide distinction between drug and hemp types that resulted from selective breeding; the association between chemotypic identity and variation of loci encoding cannabinoid synthases; and errors in cultivar classification and ancestry by breeders (Van Bakel et al ., 2011; Sawler et al ., 2015; Lynch et al ., 2016; Soorni et al ., 2017). These findings are likely to facilitate the development of more accurate diagnostic systems for cannabis germplasm to assist with product compliance, traceability, provenance and consumer education (Henry et al ., 2020). Domestication and intensive breeding have narrowed the genetic and allelic diversity of cannabis gene pools (Sawler et al ., 2015; Soorni et al ., 2017).…”
Section: Cannabis Sativa Genomics Resources and The Discoveries They mentioning
confidence: 99%
“…There are only two published cannabis GWAS studies, one of which is ongoing and the other reporting marker‐trait association using a limited number of SNPs (B. J. Campbell et al ., 2019; Henry et al ., 2020; http://multihemp.eu/). The paucity of studies is likely a consequence of the previous limited accessibility of cannabis genetic diversity and insufficient marker density.…”
Section: Genomics Approaches That Could Be Applied In the Near‐term Tmentioning
confidence: 99%
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“…More recently, based on the latest knowledge acquired on cannabis genomics, Henry et al (2020) described the efficiency of a screening method based on KASP (Kompetitive Allele Specific PCR) technique for the identification of 22 highly informative SNPs involved in the biosynthetic pathway of cannabinoids and terpenes (important compounds for the recreational and medical cannabis industries).…”
Section: Advances In Cannabis Genomicsmentioning
confidence: 99%
“…Various methods of identification have been developed to authenticate medical plant species such as morphological analysis, chemical profiling, and DNA-based molecular analysis. 11 Although up to date there is no standardized method for rapid identification of cannabis, the use of internal transcribed spacer (ITS) regions has been recently reported for the identification of cannabis from seizures. 12 Forensic identification of cannabis usually consists on the detection of the presence of D-9-THC and cystolithic hairs on the leaves of the plant, 13 but genetic identification has not been taken into account yet.…”
Section: Introductionmentioning
confidence: 99%