Genetic variation and population genetic structure of Laodelphax striatellus via genome‐wide single nucleotide polymorphisms from specific‐locus amplified fragment‐sequencing

2018 ◽  
Vol 143 (4) ◽  
pp. 315-327 ◽  
Author(s):  
Xingya Wang ◽  
Bin Lu ◽  
Lingyun Shao ◽  
Fengquan Yu ◽  
Wenjing Zheng ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Genetic Structure ◽  
Single Nucleotide Polymorphisms ◽  
Population Genetic Structure ◽  
Population Genetic ◽  
Nucleotide Polymorphisms ◽  
Laodelphax Striatellus ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Specific Locus

scholarly journals Genome-wide analyses reveal clustering in Cannabis cultivars: the ancient domestication trilogy of a panacea

2015 ◽  
Author(s):  
Philippe Henry
Keyword(s):  
Genetic Variation ◽  
Genetic Structure ◽  
Open Access ◽  
Nucleotide Polymorphisms ◽  
Data Set ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Access Data ◽  
Diagnostic Snps ◽  
Shed Light

In the present research, I used an open access data set (Medicinal Genomics) consisting of nearly 200'000 genome-wide single nucleotide polymorphisms (SNPs) typed in 28 cannabis accessions to shed light on the plant's underlying genetic structure. Genome-wide loadings were used to sequentially cull less informative markers. The process involved reducing the number of SNPs to 100K, 10K, 1K, 100 until I identified a set of 42 highly informative SNPs that I present here. The two first principal components, encompass over 3/4 of the genetic variation present in the dataset (PCA1 = 48.6%, PCA2= 26.3%). This set of diagnostic SNPs is then used to identify clusters into which cannabis accession segregate. I identified three clear and consistent clusters; reflective of the ancient domestication trilogy of the genus Cannabis.

scholarly journals Genome-wide analyses reveal clustering in Cannabis cultivars: the ancient domestication trilogy of a panacea

2015 ◽  
Author(s):  
Philippe Henry
Keyword(s):  
Genetic Variation ◽  
Genetic Structure ◽  
Open Access ◽  
Nucleotide Polymorphisms ◽  
Data Set ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Access Data ◽  
Diagnostic Snps ◽  
Shed Light

In the present research, I used an open access data set (Medicinal Genomics) consisting of nearly 200'000 genome-wide single nucleotide polymorphisms (SNPs) typed in 28 cannabis accessions to shed light on the plant's underlying genetic structure. Genome-wide loadings were used to sequentially cull less informative markers. The process involved reducing the number of SNPs to 100K, 10K, 1K, 100 until I identified a set of 42 highly informative SNPs that I present here. The two first principal components, encompass over 3/4 of the genetic variation present in the dataset (PCA1 = 48.6%, PCA2= 26.3%). This set of diagnostic SNPs is then used to identify clusters into which cannabis accession segregate. I identified three clear and consistent clusters; reflective of the ancient domestication trilogy of the genus Cannabis.

scholarly journals Cannabis labelling is associated with genetic variation in terpene synthase genes

Nature Plants ◽  
2021 ◽  
Vol 7 (10) ◽  
pp. 1330-1334
Author(s):  
Sophie Watts ◽  
Michel McElroy ◽  
Zoë Migicovsky ◽  
Hugo Maassen ◽  
Robin van Velzen ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Single Nucleotide Polymorphisms ◽  
Terpene Synthase ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome ◽  
Wide Scale ◽  
Tandem Arrays

AbstractAnalysis of over 100 Cannabis samples quantified for terpene and cannabinoid content and genotyped for over 100,000 single nucleotide polymorphisms indicated that Sativa- and Indica-labelled samples were genetically indistinct on a genome-wide scale. Instead, we found that Cannabis labelling was associated with variation in a small number of terpenes whose concentrations are controlled by genetic variation at tandem arrays of terpene synthase genes.

scholarly journals Genome-wide analyses reveal clustering in Cannabis cultivars: the ancient trilogy of a panacea

2015 ◽  
Author(s):  
Philippe Henry
Keyword(s):  
Genetic Variation ◽  
Genetic Structure ◽  
Open Access ◽  
Nucleotide Polymorphisms ◽  
Data Set ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Access Data ◽  
Diagnostic Snps ◽  
Shed Light

In the present research, I used an open access data set (Medicinal Genomics) consisting of nearly 200'000 genome-wide single nucleotide polymorphisms (SNPs) typed in 28 cannabis accessions to shed light on the plant's underlying genetic structure. Genome-wide loadings were used to sequentially cull less informative markers. The process involved reducing the number of SNPs to 100K, 10K, 1K, 100 until I identified a set of 42 highly informative SNPs that I present here. The two first principal components, encompass over 3/4 of the genetic variation present in the dataset (PCA1 = 48.6%, PCA2= 26.3%). This set of diagnostic SNPs is then used to identify clusters into which cannabis accession segregate. I identified three clear and consistent clusters; reflective of the ancient trilogy of the genus Cannabis.

Sign in / Sign up

Export Citation Format

Share Document