数字农科院2.0

Temperature-smart plants: A new horizon with omics-driven plant breeding

文献类型： 外文期刊

作者： Ali Raza;Shanza Bashir;Tushar Khare;Benjamin Karikari;Rhys G.R. Copeland;Monica Jamla;Saghir Abbas;Sidra Charagh;Spurthi N. Nayak;Ivica Djalovic;Rosa M. Rivero;Kadambot H.M. Siddique;Rajeev K. Varshney

作者机构：

期刊名称： Physiologia Plantarum

ISSN： 0031-9317

年卷期： 2024 年 176 卷 1 期

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收录情况： SCIE（2024版）

摘要： The adverse effects of mounting environmental challenges, including extreme temperatures, threaten the global food supply due to their impact on plant growth and productivity. Temperature extremes disrupt plant genetics, leading to significant growth issues and eventually damaging phenotypes. Plants have developed complex signaling networks to respond and tolerate temperature stimuli, including genetic, physiological, biochemical, and molecular adaptations. In recent decades, omics tools and other molecular strategies have rapidly advanced, offering crucial insights and a wealth of information about how plants respond and adapt to stress. This review explores the potential of an integrated omics-driven approach to understanding how plants adapt and tolerate extreme temperatures. By leveraging cutting-edge omics methods, including genomics, transcriptomics, proteomics, metabolomics, miRNAomics, epigenomics, phenomics, and ionomics, alongside the power of machine learning and speed breeding data, we can revolutionize plant breeding practices. These advanced techniques offer a promising pathway to developing climate-proof plant varieties that can withstand temperature fluctuations, addressing the increasing global demand for high-quality food in the face of a changing climate.

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