ArticleScientific reports2017
Assessment of Genetic Diversity and Population Structure in Iranian Cannabis Germplasm.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Genetic architecture of phenological, morphological, and phytochemical traits in Cannabis landraces.The plant genome · 2026Article
- Population Structure of Genotypes and Genome-Wide Association Studies of Cannabinoids and Terpenes Synthesis in Hemp (Plants (Basel, Switzerland) · 2026Article
- Genotyping of Commercial EuropeanPlants (Basel, Switzerland) · 2025Article
- Genetic diversity, population structure, and cannabinoid variation in feral Cannabis sativa germplasm from the United States.Scientific reports · 2025Article
- Genome-specific association study (GSAS) for exploration of variability in hemp (Cannabis sativa).Scientific reports · 2025Article
- Comparison of Recombination Rate, Reference Bias, and Unique Pangenomic Haplotypes inInternational journal of molecular sciences · 2025Article
- Population genomics of a natural Cannabis sativa L. collection from Iran identifies novel genetic loci for flowering time, morphology, sex and chemotyping.BMC plant biology · 2025Article
- Finally Freed-Plants (Basel, Switzerland) · 2024Review
- From 'Farm to Fork': Exploring the Potential of Nutrient-Rich and Stress-Resilient Emergent Crops for Sustainable and Healthy Food in the Mediterranean Region in the Face of Climate Change Challenges.Plants (Basel, Switzerland) · 2024Review
- Genetic insights into agronomic and morphological traits of drug-type cannabis revealed by genome-wide association studies.Scientific reports · 2024Article
- Unraveling the specialized metabolic pathways in medicinal plant genomes: a review.Frontiers in plant science · 2024Review
- Potential of dietary hemp and cannabinoids to modulate immune response to enhance health and performance in animals: opportunities and challenges.Frontiers in immunology · 2023Review
- Somatic mutations during rapid clonal domestication ofEvolutionary applications · 2022Article
- Novel Insights into the Nature of Intraspecific Genome Size Diversity inPlants (Basel, Switzerland) · 2022Article
- New Insight into Ornamental Applications of Cannabis: Perspectives and Challenges.Plants (Basel, Switzerland) · 2022Article
- Genome-wide polymorphism and genic selection in feral and domesticated lineages of Cannabis sativa.G3 (Bethesda, Md.) · 2022Article
- Hemp (Pharmaceuticals (Basel, Switzerland) · 2022Article
- Whole-genome resequencing of wild and cultivated cannabis reveals the genetic structure and adaptive selection of important traits.BMC plant biology · 2022Article
- THC and CBD Fingerprinting of an Elite Cannabis Collection from Iran: Quantifying Diversity to Underpin Future Cannabis Breeding.Plants (Basel, Switzerland) · 2022Article
- Genetic diversity and population structure of rice (Oryza sativa L.) landraces from Kerala, India analyzed through genotyping-by-sequencing.Molecular genetics and genomics : MGG · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cannabis sativa has a complex history reflected in both selection on naturally occurring compounds and historical trade routes among humans. Iran is a rich resource of natural populationswhich hold the promise to characterize historical patterns of population structure and genetic diversity within Cannabis. Recent advances in high-throughput DNA sequencing technologies have dramatically increased our ability to produce information to the point that it is now feasible to inexpensively obtain population level genotype information at a large scale. In the present investigation, we have explored the use of Genotyping-By-Sequencing (GBS) in Iranian cannabis. We genotyped 98 cannabis samples 36 from Iranian locations and 26 accessions from two germplasm collections. In total, 24,710 high-quality Single Nucleotide Polymorphisms (SNP) were identified. Clustering analysis by Principal Component Analysis (PCA) identified two genetic clusters among Iranian populations and fineSTRUCTURE analysis identified 19 populations with some geographic partitioning. We defined Iranian cannabis in two main groups using the results of the PCA and discovered some strong signal to define some locations as population according to fineSTRUCTURE analyses. However, single nucleotide variant analysis uncovered a relatively moderate level of variation among Iranian cannabis.
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