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Increase Crop Resilience to Heat Stress Using Omic Strategies
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’ respo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152541/ https://www.ncbi.nlm.nih.gov/pubmed/35656008 http://dx.doi.org/10.3389/fpls.2022.891861 |
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author | Zhou, Rong Jiang, Fangling Niu, Lifei Song, Xiaoming Yu, Lu Yang, Yuwen Wu, Zhen |
author_facet | Zhou, Rong Jiang, Fangling Niu, Lifei Song, Xiaoming Yu, Lu Yang, Yuwen Wu, Zhen |
author_sort | Zhou, Rong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9152541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91525412022-06-01 Increase Crop Resilience to Heat Stress Using Omic Strategies Zhou, Rong Jiang, Fangling Niu, Lifei Song, Xiaoming Yu, Lu Yang, Yuwen Wu, Zhen Front Plant Sci Plant Science 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. Frontiers Media S.A. 2022-05-17 /pmc/articles/PMC9152541/ /pubmed/35656008 http://dx.doi.org/10.3389/fpls.2022.891861 Text en Copyright © 2022 Zhou, Jiang, Niu, Song, Yu, Yang and Wu. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Plant Science Zhou, Rong Jiang, Fangling Niu, Lifei Song, Xiaoming Yu, Lu Yang, Yuwen Wu, Zhen Increase Crop Resilience to Heat Stress Using Omic Strategies |
title | Increase Crop Resilience to Heat Stress Using Omic Strategies |
title_full | Increase Crop Resilience to Heat Stress Using Omic Strategies |
title_fullStr | Increase Crop Resilience to Heat Stress Using Omic Strategies |
title_full_unstemmed | Increase Crop Resilience to Heat Stress Using Omic Strategies |
title_short | Increase Crop Resilience to Heat Stress Using Omic Strategies |
title_sort | increase crop resilience to heat stress using omic strategies |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152541/ https://www.ncbi.nlm.nih.gov/pubmed/35656008 http://dx.doi.org/10.3389/fpls.2022.891861 |
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