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

文献类型: 外文期刊

作者: Raza, Ali 1 ; Bashir, Shanza 3 ; Khare, Tushar 4 ; Karikari, Benjamin 5 ; Copeland, Rhys G. R. 7 ; Jamla, Monica 4 ; Abbas, Saghir 8 ; Charagh, Sidra 9 ; Nayak, Spurthi N. 10 ; Djalovic, Ivica 11 ; Rivero, Rosa M. 12 ; Siddique, Kadambot H. M. 13 ; Varshney, Rajeev K. 7 ;

作者机构: 1.Shenzhen Univ, Coll Life Sci & Oceanog, Guangdong Key Lab Plant Epigenet, Shenzhen, Peoples R China

2.Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen, Peoples R China

3.Natl Univ Sci & Technol NUST, Inst Environm Sci & Engn IESE, Sch Civil & Environm Engn SCEE, Islamabad, Pakistan

4.Modern Coll Arts Sci & Commerce, Dept Biotechnol, Pune, India

5.Univ Laval, Dept Phytol, Quebec City, PQ, Canada

6.Univ Dev Studies, Fac Agr Food & Consumer Sci, Dept Agr Biotechnol, Tamale, Ghana

7.Murdoch Univ, Food Futures Inst, WA State Agr Biotechnol Ctr, Ctr Crop & Food Innovat, Murdoch, WA, Australia

8.Govt Coll Univ, Fac Life Sci, Dept Bot, Faisalabad, Pakistan

9.Chinese Acad Agr Sci CAAS, China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou, Peoples R China

10.Univ Agr Sci, Dept Biotechnol, Dharwad, India

11.Natl Inst Republ Serbia, Inst Field & Vegetable Crops, Novi Sad, Serbia

12.CEBAS CSIC, Dept Plant Nutr, Campus Univ Espinardo, Murcia, Spain

13.Univ Western Australia, UWA Inst Agr, Perth, WA, Australia

期刊名称:PHYSIOLOGIA PLANTARUM ( 影响因子:6.4; 五年影响因子:5.9 )

ISSN: 0031-9317

年卷期: 2024 年 176 卷 1 期

页码:

收录情况: SCI

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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