The Cannabis Phylogenetic tree has been studied for years. Only recently, with the advent of Next Generation Sequencing, have we had the tools to expand the resolution of these maps 10,000-fold. Kannapedia is designed to be an open source registry of cannabis genetics that are registered with the Bitcoin Blockchain to drive authenticity and trusted consensus on the phylogenetic registration of Cannabis Strains.
100,000-200,000 SNPs per strain were sequenced using a Reduced Representation Shotgun approach that has been adapted to the Illumina HiSeq/MiSeq platforms. 30ng (billionths of a gram) of DNA from a SenSATIVAx DNA prep is utilized to sequence millions of reads per strain. This data is then uploaded to the AWS, and phylogenetic trees are generated on the fly. VCF files are SHA-256 hash digested and etched into the Bitcoin Blockchain to demonstrate cryptographic proof of existence at a particular time stamp. 100,000-200,000 SNPs is excessive so simply phylotyping a cannabis strain. High marker density can be helpful for Marker Assisted Selection but for fast turn around time, 10,000-20,000 SNPs can suffice to provide high information content fingerprints. For this reason, we have developed a nested set of 10,000-20,000 SNPs for StrainSEEK that delivers phytotrees like the one below.
This tree will shift as more data emerges. A distributed consensus will emerge as the community continues to submit DNA to organize the historical tree of this important plant.
Nomenclature = Name_EC_XYZ_CBD-THC ratio. EC = Emerald Cup winner. XYZ are the 3 dominant terpenes colored according to the dominant Terpene seen in the lower right legend as described by Lewis et al. at CannMed2016. Some strains have CBD:THC ratios labeled as such.
There is no other company that has put verifiable Cannabis DNA Sequence information public. Our public data has been used in 4 peer reviewed publications. While many of our clients keep data private, the value of our service improves with MGC sponsored public data. This policy floats all boats and breeds interest in more cannabis sequencing.
- ChemDawg was published in Van Bakel et. al.
- Various Whole Genome Sequence files were utilized for Lynch et al.Â
- Kannapedia FastQ files were used for Henry et al.
- Cannabis Microbiomes were published from samples with McKernan et al.
- Data Source 1
- Data Source 2