ArticleJournal, genetic engineering & biotechnology2023
Use of ISSR markers to assess the genetic diversity of an endemic plant of Morocco (Euphorbia resinifera O. Berg).
Article in Journal, genetic engineering & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Genetic diversity and morphological variation in wild Silene compacta Fischer genotypes from Türkiye.BMC plant biology · 2026Article
- Article
- Evaluation of genetic diversity and elucidation of population structure of Lathyrus accessions using agro-morphological characters and ISSR technique.Journal, genetic engineering & biotechnology · 2025Article
- Genetic diversity and population structure of natural provenances of Sonneratia caseolaris in Vietnam.Journal, genetic engineering & biotechnology · 2024Article
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Abstract
backgroundEuphorbia resinifera is a melliferous, medicinal, and endemic plant to Morocco. Nevertheless, its ecological and genetic diversity still unknown. The objective of this study is to analyze the diversity and genetic structure of Moroccan wild populations of E. resinifera using ISSR markers. Twelve natural populations collected from its geographical range in Morocco were analyzed using 14 ISSR primers.
resultsA total of 125 bands were obtained, with polymorphism of 74.81%. The polymorphic information content (PIC), resolving power (Rp), Shannon's information index (I), and total genetic diversity (Ht) were 0.33, 2.8, 0.35, and 0.21, respectively. The analysis of molecular variance showed that 75.56% of the total variability is present within populations and that 24.44% exists among populations. Also, the analysis showed a very low genetic differentiation between groups of mountain range type (FCT = 0.066), mountain versant type groups (FCT = -0.024), and altitude groups (FCT = -0.022). Moreover, the geographical distances between populations are correlated with their corresponding genetic distances according to the Mantel test (r = 0.507; P < 0.0001).
conclusionThese results suggest that the population structuring follows a model of isolation by geographical distance. Indeed, the genetic structuring of populations into two groups obtained from PCoA and structure analysis revealed a dependence on the geographical origin of the populations. By contrast, the genetic distances are not correlated with the altitude.
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