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Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environment...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885943/ https://www.ncbi.nlm.nih.gov/pubmed/35583356 http://dx.doi.org/10.1093/pcp/pcac067 |
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author | Hirayama, Takashi Mochida, Keiichi |
author_facet | Hirayama, Takashi Mochida, Keiichi |
author_sort | Hirayama, Takashi |
collection | PubMed |
description | Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices. |
format | Online Article Text |
id | pubmed-9885943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98859432023-01-31 Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity Hirayama, Takashi Mochida, Keiichi Plant Cell Physiol Special Issue—Mini Review Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices. Oxford University Press 2022-05-18 /pmc/articles/PMC9885943/ /pubmed/35583356 http://dx.doi.org/10.1093/pcp/pcac067 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Special Issue—Mini Review Hirayama, Takashi Mochida, Keiichi Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity |
title | Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity |
title_full | Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity |
title_fullStr | Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity |
title_full_unstemmed | Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity |
title_short | Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity |
title_sort | plant hormonomics: a key tool for deep physiological phenotyping to improve crop productivity |
topic | Special Issue—Mini Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885943/ https://www.ncbi.nlm.nih.gov/pubmed/35583356 http://dx.doi.org/10.1093/pcp/pcac067 |
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