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ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Plant Abiotic Stress
Volume 15 - 2024 |
doi: 10.3389/fpls.2024.1497017
Core transcriptome network modulates temperature (heat, cold) and osmotic (drought, salinity, waterlogging) stress responses in oil palm
Provisionally accepted- 1 SD Guthrie Technology Centre, Serdang, Malaysia
- 2 SD Guthrie Research, Banting, Malaysia
Oil palm (Elaeis guineensis) yield is impacted by abiotic stresses leading to significant economic losses. To understand the core abiotic stress transcriptome (CAST) of oil palm, we performed RNA-Seq analyses of oil palm leaves subjected to drought, salinity, waterlogging, heat and cold stresses. A total of 19834 differentially expressed genes (DEGs) were identified. Cold treatment induced the highest number of DEGs (5300), followed by heat (4114), drought (3751), waterlogging (3573) and lastly salinity (3096) stress. Subsequent analysis revealed the CAST of oil palm, comprising 588 DEGs commonly expressed under drought, salinity, waterlogging, heat, and cold stress conditions. Function annotation of these DEGs suggests their roles in signal transduction, transcription regulation and abiotic stress responses including synthesis of osmolytes, secondary metabolites and molecular chaperones. Moreover, we identified core DEGs encoding kinases, ERF, NAC TFs, heat shock proteins, E3 ubiquitin-protein ligase, terpineol synthase and cytochrome P450. These core DEGs may be potential key modulators that interplay in triggering rapid abiotic stress responses to achieve delicate equilibrium between productivity and adaptation to abiotic stresses. This comprehensive study provides insights on the key modulators in the CAST of oil palm, and their potential applications as markers for selecting climate-resilient oil palms or opportunities to develop future climate resilient oil palm using genome editing.
Keywords: Oil palm, abiotic stresses, core transcriptome, RNA-Seq, differential expressed genes
Received: 16 Sep 2024; Accepted: 30 Nov 2024.
Copyright: © 2024 Lee, Yeap, Kee, Kulaveerasingam and Ross Appleton. 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:
Fong Chin Lee, SD Guthrie Technology Centre, Serdang, Malaysia
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