Genetic Variants Associated with Long-Terminal Repeats Can Diagnostically Classify Varieties.

Int J Mol Sci

Centre for Personalised Nanomedicine, Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, QLD 4072, Australia.

Published: November 2022


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Article Abstract

() has recently been legalized in multiple countries globally for either its recreational or medicinal use. This, in turn, has led to a marked increase in the number of varieties available for use in either market. However, little information currently exists on the genetic distinction between adopted varieties. Such fundamental knowledge is of considerable value and underpins the accelerated development of both a nascent pharmaceutical industry and the commercial recreational market. Therefore, in this study, we sought to assess genetic diversity across 10 varieties by undertaking a reduced representation shotgun sequencing approach on 83 individual plants to identify variations which could be used to resolve the genetic structure of the assessed population. Such an approach also allowed for the identification of the genetic features putatively associated with the production of secondary metabolites in . Initial analysis identified 3608 variants across the assessed population with phylogenetic analysis of this data subsequently enabling the confident grouping of each variety into distinct subpopulations. Within our dataset, the most diagnostically informative single nucleotide polymorphisms (SNPs) were determined to be associated with the long-terminal repeat (LTRs) class of retroelements, with 172 such SNPs used to fully resolve the genetic structure of the assessed population. These 172 SNPs could be used to design a targeted resequencing panel, which we propose could be used to rapidly screen different plants to determine genetic relationships, as well as to provide a more robust, scientific classification of varieties as the field moves into the pharmaceutical sphere.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735643PMC
http://dx.doi.org/10.3390/ijms232314531DOI Listing

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