ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Plant Abiotic Stress
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1685230
Regulatory roles of noncoding RNAs in oil palm response to cold stress
Provisionally accepted- 1Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
- 2Chinese Academy of Tropical Agricultural Sciences, State Key Laboratory of Tropical Crop Breeding, Sanya, China
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Introduction: Noncoding RNAs (ncRNAs) are crucial regulators of cellular functions and are actively expressed in different tissues and throughout various stages of development. However, their roles in oil palm (Elaeis guineensis Jacq.) under abiotic stress, particularly cold stress, remain poorly understood. Methods: We profiled spear leaves across a cold-stress time course (0–8 h at 8 °C), and conducted an in-depth transcriptome analysis to explore and characterize differentially expressed genes (DEGs), differentially expressed microRNAs (DEMs), and differentially expressed lncRNAs (DELs) in oil palm subjected to cold stress, aiming to elucidate the regulatory networks among these molecules. We called DE with |log2FC|≥1 (DEGs/DELs: FDR<0.05; DEMs: p<0.05). Results and discussion: Comparative analysis revealed 1,106 DELs, 638 DEMs and 13,539 DEGs reacting to cold stress relative to control conditions (CK). GO and KEGG enrichment of DEGs and predicted ncRNA targets highlighted carbohydrate/lipid metabolism and secondary-metabolite biosynthesis. Furthermore, the study demonstrated that miR156-zmiR156-z negatively regulated FabF1 in protoplasts, providing targeted functional validation within the inferred network. The findings offer new perspectives on the regulatory role of ncRNAs in oil palm's response to cold stress and establish a basis for future functional research. Gaining insight into these molecular mechanisms may help improve cold resilience in oil palm, paving the way for the development of more robust cultivars.
Keywords: Oil palm, cold stress, Transcriptome, lncRNA, microRNA, Palm oil synthesis
Received: 13 Aug 2025; Accepted: 30 Sep 2025.
Copyright: © 2025 Wu, Li, Zeng, Fu, Li, Li, Cao, Li, Liu and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Lixia Zhou, glzz_2009@163.com
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