利用SSR和DAMD分子标记分析摩洛哥枣椰树的遗传多样性和群体结构。

IF 3.6 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal, genetic engineering & biotechnology Pub Date : 2023-05-23 DOI:10.1186/s43141-023-00516-7
Maha Ibrahimi, Najiba Brhadda, Rabea Ziri, Mohamed Fokar, Driss Iraqi, Fatima Gaboun, Mustapha Labhilili, Aicha Habach, Reda Meziani, Jamal Elfadile, Rabha Abdelwahd, Ghizlane Diria
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摘要

背景:枣椰树,绿洲枢纽,在摩洛哥南部地区起着重要的社会经济作用。然而,随着气候变化和干旱强度和频率的增加,摩洛哥棕榈林受到严重遗传退化的威胁。这种资源的遗传特征是在当前气候变化和各种生物和非生物胁迫的情况下制定有效保护和管理战略的关键因素。为了评价摩洛哥不同绿洲枣椰树群体的遗传多样性,采用SSR标记和微卫星DNA (DAMD)标记定向扩增技术。结果:SSR标记和DAMD标记分别获得249个和471个条带,多态性率分别为100%和92.9%。SSR引物产生的多态性信息含量(PIC = 0.95)与DAMD引物产生的多态性信息含量(PIC = 0.98)几乎相同。DAMD的分辨能力(Rp)高于SSR(分别为29.46和19.51)。基于两种标记的联合数据集的分子方差(AMOVA)分析显示,群体内(75%)的方差高于群体间(25%)的方差。主坐标分析(PCoA)和上升等级分类表明,Zagora和Goulmima地区的种群最接近。根据283份测试样本的基因组成,将其结构分析聚类为7类。结论:本研究的结果将为未来成功的育种和保护计划提供基因型选择策略,特别是在气候变化背景下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Analysis of genetic diversity and population structure of Moroccan date palm (Phoenix dactylifera L.) using SSR and DAMD molecular markers.

Background: Date palm, oasis pivot, plays a vital socio-economic part in the southern area of Morocco. However, with climate change and drought intensity and frequency increasing, the Moroccan palm grove is threatened with significant genetic degradation. Genetic characterization of this resource is key element for the development of effective conservation and management strategies in the current circumstances of climate change and various biotic and abiotic stresses. To evaluate the genetic diversity of date palm populations collected from different Moroccan oases, we used simple sequence repeats (SSR) and directed amplification of mini-satellite DNA (DAMD) markers. Our results showed that used markers could efficiently assess genetic diversity in Phoenix dactylifera L.

Results: A total of 249 and 471 bands were respectively scored for SSR and DAMD, of which 100% and 92.9% were polymorphic. The polymorphic information content (PIC = 0.95), generated by the SSR primer was nearly identical to that generated by the DAMD primer (PIC = 0.98). The resolving power (Rp) was higher in DAMD than SSR (29.46 and 19.51, respectively). Analysis of the molecular variance (AMOVA) based on the combined data sets for both markers revealed a higher variance within populations (75%) than among populations (25%). Principal coordinate analysis (PCoA) and the ascendant hierarchical classification showed that the population of Zagora and Goulmima regions were the closest populations. The STRUCTURE analysis clustering of the 283 tested samples into seven clusters based on their genetic composition.

Conclusion: The results drawn from this study will orient genotypes selection strategies for a successful future breeding and conservation program, particularly under climate change context.

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