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Increase Crop Resilience to Heat Stress Using Omic Strategies.
Zhou, Rong; Jiang, Fangling; Niu, Lifei; Song, Xiaoming; Yu, Lu; Yang, Yuwen; Wu, Zhen.
Afiliación
  • Zhou R; College of Horticulture, Nanjing Agricultural University, Nanjing, China.
  • Jiang F; Department of Food Science, Aarhus University, Aarhus, Denmark.
  • Niu L; College of Horticulture, Nanjing Agricultural University, Nanjing, China.
  • Song X; College of Horticulture, Nanjing Agricultural University, Nanjing, China.
  • Yu L; College of Life Sciences, North China University of Science and Technology, Tangshan, China.
  • Yang Y; College of Horticulture, Nanjing Agricultural University, Nanjing, China.
  • Wu Z; Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Front Plant Sci ; 13: 891861, 2022.
Article en En | MEDLINE | ID: mdl-35656008
ABSTRACT
Varieties of various crops with high resilience are urgently needed to feed the increased population in climate change conditions. Human activities and climate change have led to frequent and strong weather fluctuation, which cause various abiotic stresses to crops. The understanding of crops' responses to abiotic stresses in different aspects including genes, RNAs, proteins, metabolites, and phenotypes can facilitate crop breeding. Using multi-omics methods, mainly genomics, transcriptomics, proteomics, metabolomics, and phenomics, to study crops' responses to abiotic stresses will generate a better, deeper, and more comprehensive understanding. More importantly, multi-omics can provide multiple layers of information on biological data to understand plant biology, which will open windows for new opportunities to improve crop resilience and tolerance. However, the opportunities and challenges coexist. Interpretation of the multidimensional data from multi-omics and translation of the data into biological meaningful context remained a challenge. More reasonable experimental designs starting from sowing seed, cultivating the plant, and collecting and extracting samples were necessary for a multi-omics study as the first step. The normalization, transformation, and scaling of single-omics data should consider the integration of multi-omics. This review reports the current study of crops at abiotic stresses in particular heat stress using omics, which will help to accelerate crop improvement to better tolerate and adapt to climate change.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: China
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