利用ISSR标记评价摩洛哥特有植物大戟(Euphorbia resinifera O. Berg)的遗传多样性。

IF 3.6 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal, genetic engineering & biotechnology Pub Date : 2023-09-06 DOI:10.1186/s43141-023-00543-4
Hassane Abd-Dada, Said Bouda, Youssef Khachtib, Youssef Ait Bella, Abdelmajid Haddioui
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引用次数: 1

摘要

背景:大戟(Euphorbia resinifera)是摩洛哥的一种草本、药用和特有植物。然而,其生态和遗传多样性仍不为人所知。本研究的目的是利用ISSR标记分析摩洛哥野居群的多样性和遗传结构。利用14条ISSR引物对摩洛哥12个自然居群进行了分析。结果:共获得125个条带,多态性为74.81%。多态性信息含量(PIC)、分辨能力(Rp)、香农信息指数(I)和总遗传多样性(Ht)分别为0.33、2.8、0.35和0.21。分子变异分析表明,群体内变异占总体变异的75.56%,群体间变异占总体变异的24.44%。山岭型(FCT = 0.066)、山野型(FCT = -0.024)和高原型(FCT = -0.022)间的遗传分化极低。此外,根据Mantel检验,种群之间的地理距离与其相应的遗传距离相关(r = 0.507;结论:这些结果表明种群结构遵循地理距离隔离模型。事实上,从PCoA和结构分析中得到的两个群体的遗传结构揭示了群体的地理起源依赖。相比之下,遗传距离与海拔高度无关。
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Use of ISSR markers to assess the genetic diversity of an endemic plant of Morocco (Euphorbia resinifera O. Berg).

Background: Euphorbia 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.

Results: A 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).

Conclusion: These 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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