{"title":"Unveiling regional and altitudinal lipidomic analyte signatures of the argan tree (Argania spinosa L.) for environmental adaptation","authors":"El Faqer Abdelmoiz , Rabeh Karim , Rachidi Farid , Assemar Fatima ezzahra , Aasfar Abderrahim , Filali-Maltouf Abdelkarim , Belkadi Bouchra","doi":"10.1016/j.jplph.2025.154523","DOIUrl":null,"url":null,"abstract":"<div><div>Environmental factors such as altitude, precipitation, and temperature shape the lipidomic profiles of the argan tree (<em>Argania spinosa</em> L.), supporting its adaptation to stress. This study investigated lipidomic profiling and pathways in argan tree leaves from four altitudinal zones (A: low, B: moderate, C: high, D: very high) across three Moroccan regions (Chtouka Aït Baha, Essaouira, and Tiznit) using Gas Chromatography-Mass Spectrometry (GC-MS). The GC-MS workflow included a transmethylation step that cleaves ester bonds and acetylations, yielding analytes derived from diverse precursor lipids such as glycerolipids, sterol esters, and wax esters. We identified 139 lipid analytes, categorized into fatty acyls (53 %), prenol lipids (41 %), and steroids (6 %). Shared lipids across all zones highlight core metabolic pathways essential for resilience, while unique lipids reflect zone-specific adaptations. Fourteen known analytes were identified as critical markers for regional adaptations through multivariate analyses, including Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Variable Importance in Projection (VIP) scores. Among these, three analytes (methyl 18-methyleicosanoate, Z,Z-11,13-Hexadecadien-1-ol, and 11-Octadecenoic acid) showed the highest accumulation in Zone A, whereas eleven analytes (Henicosyl formate, Dodecyl 2-methylbutanoate, Methyl 21-methyl-hexacosanoate, Methyl 13-methyltetradecanoate, Cetoleic acid, (Urs-12-en-3-ol, acetate, (3.beta.)-), Medicagenic acid, 2-(4a,8-Dimethyl-6-oxo-1,2,3,4,4a,5,6,8a-octahydro-naphthalen-2-yl)-propionaldehyde, A′-Neogammacer-22(29)-en-3-one, Pregna-5,17(20)-dien-3-ol, (3.beta.,17E)-, and estra-1,3,5(10)-trien-17-one, 3,4-bis(acetyloxy)- exhibited significant increases in Zone D. Multiple Linear Regression analysis showed that precipitation positively influenced analyte concentration (p = 0.00033), while altitude had a significant negative effect (p = 0.039). Pathways analysis highlighted the roles of cutin, suberin, and wax biosynthesis, as well as linoleic acid metabolism, in altitude-driven adaptations. This study demonstrates the metabolic plasticity of <em>Argania spinosa</em> L., offering insights for its conservation amidst climate change.</div></div>","PeriodicalId":16808,"journal":{"name":"Journal of plant physiology","volume":"311 ","pages":"Article 154523"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of plant physiology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0176161725001051","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Environmental factors such as altitude, precipitation, and temperature shape the lipidomic profiles of the argan tree (Argania spinosa L.), supporting its adaptation to stress. This study investigated lipidomic profiling and pathways in argan tree leaves from four altitudinal zones (A: low, B: moderate, C: high, D: very high) across three Moroccan regions (Chtouka Aït Baha, Essaouira, and Tiznit) using Gas Chromatography-Mass Spectrometry (GC-MS). The GC-MS workflow included a transmethylation step that cleaves ester bonds and acetylations, yielding analytes derived from diverse precursor lipids such as glycerolipids, sterol esters, and wax esters. We identified 139 lipid analytes, categorized into fatty acyls (53 %), prenol lipids (41 %), and steroids (6 %). Shared lipids across all zones highlight core metabolic pathways essential for resilience, while unique lipids reflect zone-specific adaptations. Fourteen known analytes were identified as critical markers for regional adaptations through multivariate analyses, including Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Variable Importance in Projection (VIP) scores. Among these, three analytes (methyl 18-methyleicosanoate, Z,Z-11,13-Hexadecadien-1-ol, and 11-Octadecenoic acid) showed the highest accumulation in Zone A, whereas eleven analytes (Henicosyl formate, Dodecyl 2-methylbutanoate, Methyl 21-methyl-hexacosanoate, Methyl 13-methyltetradecanoate, Cetoleic acid, (Urs-12-en-3-ol, acetate, (3.beta.)-), Medicagenic acid, 2-(4a,8-Dimethyl-6-oxo-1,2,3,4,4a,5,6,8a-octahydro-naphthalen-2-yl)-propionaldehyde, A′-Neogammacer-22(29)-en-3-one, Pregna-5,17(20)-dien-3-ol, (3.beta.,17E)-, and estra-1,3,5(10)-trien-17-one, 3,4-bis(acetyloxy)- exhibited significant increases in Zone D. Multiple Linear Regression analysis showed that precipitation positively influenced analyte concentration (p = 0.00033), while altitude had a significant negative effect (p = 0.039). Pathways analysis highlighted the roles of cutin, suberin, and wax biosynthesis, as well as linoleic acid metabolism, in altitude-driven adaptations. This study demonstrates the metabolic plasticity of Argania spinosa L., offering insights for its conservation amidst climate change.
期刊介绍:
The Journal of Plant Physiology is a broad-spectrum journal that welcomes high-quality submissions in all major areas of plant physiology, including plant biochemistry, functional biotechnology, computational and synthetic plant biology, growth and development, photosynthesis and respiration, transport and translocation, plant-microbe interactions, biotic and abiotic stress. Studies are welcome at all levels of integration ranging from molecules and cells to organisms and their environments and are expected to use state-of-the-art methodologies. Pure gene expression studies are not within the focus of our journal. To be considered for publication, papers must significantly contribute to the mechanistic understanding of physiological processes, and not be merely descriptive, or confirmatory of previous results. We encourage the submission of papers that explore the physiology of non-model as well as accepted model species and those that bridge basic and applied research. For instance, studies on agricultural plants that show new physiological mechanisms to improve agricultural efficiency are welcome. Studies performed under uncontrolled situations (e.g. field conditions) not providing mechanistic insight will not be considered for publication.
The Journal of Plant Physiology publishes several types of articles: Original Research Articles, Reviews, Perspectives Articles, and Short Communications. Reviews and Perspectives will be solicited by the Editors; unsolicited reviews are also welcome but only from authors with a strong track record in the field of the review. Original research papers comprise the majority of published contributions.