Ibrahimi Maha, Brhadda Najiba, Ziri Rabea, Fokar Mohamed, Iraqi Driss, Gaboun Fatima, Labhilili Mustapha, Habach Aicha, Meziani Reda, Elfadile Jamal, Abdelwahd Rabha, Diria Ghizlane
Biotechnology Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research (INRA), Rabat, Morocco.
Laboratory of Plant, Animal and Agro-Industry Productions, Faculty of Sciences, University of Ibn Tofail, Kenitra, Morocco.
J Genet Eng Biotechnol. 2023 May 23;21(1):66. doi: 10.1186/s43141-023-00516-7.
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.
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.
The results drawn from this study will orient genotypes selection strategies for a successful future breeding and conservation program, particularly under climate change context.
海枣作为绿洲核心作物,在摩洛哥南部地区发挥着至关重要的社会经济作用。然而,随着气候变化以及干旱强度和频率的增加,摩洛哥的棕榈林面临着严重的遗传退化威胁。在当前气候变化以及各种生物和非生物胁迫的情况下,对该资源进行遗传特征分析是制定有效保护和管理策略的关键要素。为了评估从摩洛哥不同绿洲收集的海枣种群的遗传多样性,我们使用了简单序列重复(SSR)和小卫星DNA定向扩增(DAMD)标记。我们的结果表明,所使用的标记能够有效地评估海枣(Phoenix dactylifera L.)的遗传多样性。
SSR和DAMD分别共检测到249条和471条带,其中100%和92.9%为多态性条带。SSR引物产生的多态信息含量(PIC = 0.95)与DAMD引物产生的多态信息含量(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)。基于两种标记的合并数据集进行的分子方差分析(AMOVA)显示,种群内的方差(75%)高于种群间的方差(25%)。主坐标分析(PCoA)和升序层次分类表明,扎戈拉和古尔米马地区的种群是最接近的种群。STRUCTURE分析根据283个测试样本的遗传组成将其聚类为七个簇。
本研究所得结果将为未来成功的育种和保护计划,特别是在气候变化背景下的基因型选择策略提供指导。