Multi-Omics Approaches in Oil Palm Research: A Comprehensive Review of Metabolomics, Proteomics, and Transcriptomics Based on Low-Temperature Stress

Author:

John Martin Jerome Jeyakumar12,Song Yuqiao123,Hou Mingming123,Zhou Lixia12,Liu Xiaoyu12,Li Xinyu12,Fu Dengqiang12,Li Qihong12,Cao Hongxing12,Li Rui12

Affiliation:

1. National Key Laboratory for Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China

2. Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang 571339, China

3. School of Life Sciences, Henan University, Kaifeng 475001, China

Abstract

Oil palm (Elaeis guineensis Jacq.) is a typical tropical oil crop with a temperature of 26–28 °C, providing approximately 35% of the total world’s vegetable oil. Growth and productivity are significantly affected by low-temperature stress, resulting in inhibited growth and substantial yield losses. To comprehend the intricate molecular mechanisms underlying the response and acclimation of oil palm under low-temperature stress, multi-omics approaches, including metabolomics, proteomics, and transcriptomics, have emerged as powerful tools. This comprehensive review aims to provide an in-depth analysis of recent advancements in multi-omics studies on oil palm under low-temperature stress, including the key findings from omics-based research, highlighting changes in metabolite profiles, protein expression, and gene transcription, as well as including the potential of integrating multi-omics data to reveal novel insights into the molecular networks and regulatory pathways involved in the response to low-temperature stress. This review also emphasizes the challenges and prospects of multi-omics approaches in oil palm research, providing a roadmap for future investigations. Overall, a better understanding of the molecular basis of the response of oil palm to low-temperature stress will facilitate the development of effective breeding and biotechnological strategies to improve the crop’s resilience and productivity in changing climate scenarios.

Funder

Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences

National Key R&D Plan of China

China Agriculture Research System

Publisher

MDPI AG

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