气候变化领域集成服务门户(CCPortal): Genomic scan of endangered moroccan endemic trees (Argania spinosa L. Skeels) along a latitudinal gradient: Exploring gene-environment correlations

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DOI	10.1016/j.tfp.2024.100535
	Genomic scan of endangered moroccan endemic trees (Argania spinosa L. Skeels) along a latitudinal gradient: Exploring gene-environment correlations
	Alami, Mohammed; Pakhrou, Ouafae; Medraoui, Leila; Assemar, Fatima Ezzahra; Rabeh, Karim; Filali-Maltouf, Abdelkarim; Belkadi, Bouchra
发表日期	2024
EISSN	2666-7193
起始页码	16
卷号	16
英文摘要	Understanding the adaptive mechanism of trees to climate change and effective management of genetic resources necessitate a comprehensive knowledge of the relationship between environmental factors and their adaptive power. This study focuses on the endangered Moroccan endemic tree, Argania spinosa L., known for its remarkable adaptive power in the Mediterranean climate and heavily impacted by climate change. Through genomic scans along a latitudinal gradient, we aimed to identify genomic regions associated with convergent or divergent selection by searching the genome for outlier loci demonstrating high population differentiation. Variation of dominant markers (Amplified Fragment Length Polymorphism) was correlated with variation of environmental factors to discern signals of natural selection in 13 natural populations of Argania spinosa L. along a latitudinal transect. Genotyping of 130 individuals with 477 AFLP markers revealed six outlier loci exhibiting elevated population differentiation values within argan forests. The BayeScan v2.1 software was used to detect outlier loci, and the (MLM) method strongly associated these loci with at least five environmental factors, particularly bioclimatic variables. Notably, all outlier loci exhibited significant correlations with Soil Moisture, with additional associations with Temperature, Precipitation, Landforms, and Soil Type, influencing the local adaptation of Argania spinosa L. The outlier AFLP loci may not be the direct targets of natural selection, but locate closely to genes that are potential involved in local adaptation. Consequently, further investigations are imperative to validate these candidate loci. This research underscores the significance of considering bioclimatic variables, especially Soil Moisture, in understanding the local adaptation of Argania spinosa L. amid climate change in Morocco.
英文关键词	Argania spinosa L.; Gene-environment association; AFLP markers; Outliers; Latitudinal gradient; Climate change; Morocco
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001207571600001
来源期刊	TREES FORESTS AND PEOPLE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/307263
作者单位	Mohammed V University in Rabat
推荐引用方式 GB/T 7714	Alami, Mohammed,Pakhrou, Ouafae,Medraoui, Leila,et al. Genomic scan of endangered moroccan endemic trees (Argania spinosa L. Skeels) along a latitudinal gradient: Exploring gene-environment correlations[J],2024,16.
APA	Alami, Mohammed.,Pakhrou, Ouafae.,Medraoui, Leila.,Assemar, Fatima Ezzahra.,Rabeh, Karim.,...&Belkadi, Bouchra.(2024).Genomic scan of endangered moroccan endemic trees (Argania spinosa L. Skeels) along a latitudinal gradient: Exploring gene-environment correlations.TREES FORESTS AND PEOPLE,16.
MLA	Alami, Mohammed,et al."Genomic scan of endangered moroccan endemic trees (Argania spinosa L. Skeels) along a latitudinal gradient: Exploring gene-environment correlations".TREES FORESTS AND PEOPLE 16(2024).