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Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought
Water limits crop productivity, so selecting for a minimal yield gap in drier environments is critical to mitigate against climate change and land-use pressure. We investigated the responses of relative water content (RWC), stomatal conductance, chlorophyll content, and metabolites in flag leaves of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760313/ https://www.ncbi.nlm.nih.gov/pubmed/31189018 http://dx.doi.org/10.1093/jxb/erz224 |
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author | Yadav, Arun K Carroll, Adam J Estavillo, Gonzalo M Rebetzke, Greg J Pogson, Barry J |
author_facet | Yadav, Arun K Carroll, Adam J Estavillo, Gonzalo M Rebetzke, Greg J Pogson, Barry J |
author_sort | Yadav, Arun K |
collection | PubMed |
description | Water limits crop productivity, so selecting for a minimal yield gap in drier environments is critical to mitigate against climate change and land-use pressure. We investigated the responses of relative water content (RWC), stomatal conductance, chlorophyll content, and metabolites in flag leaves of commercial wheat (Triticum aestivum L.) cultivars to three drought treatments in the glasshouse and in field environments. We observed strong genetic associations between glasshouse-based RWC, metabolites, and yield gap-based drought tolerance (YDT; the ratio of yield in water-limited versus well-watered conditions) across 18 field environments spanning sites and seasons. Critically, RWC response to glasshouse drought was strongly associated with both YDT (r(2)=0.85, P<8E-6) and RWC under field drought (r(2)=0.77, P<0.05). Moreover, multiple regression analyses revealed that 98% of genetic YDT variance was explained by drought responses of four metabolites: serine, asparagine, methionine, and lysine (R(2)=0.98; P<0.01). Fitted coefficients suggested that, for given levels of serine and asparagine, stronger methionine and lysine accumulation was associated with higher YDT. Collectively, our results demonstrate that high-throughput, targeted metabolic phenotyping of glasshouse-grown plants may be an effective tool for selection of wheat cultivars with high field-derived YDT. |
format | Online Article Text |
id | pubmed-6760313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67603132019-10-02 Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought Yadav, Arun K Carroll, Adam J Estavillo, Gonzalo M Rebetzke, Greg J Pogson, Barry J J Exp Bot Research Papers Water limits crop productivity, so selecting for a minimal yield gap in drier environments is critical to mitigate against climate change and land-use pressure. We investigated the responses of relative water content (RWC), stomatal conductance, chlorophyll content, and metabolites in flag leaves of commercial wheat (Triticum aestivum L.) cultivars to three drought treatments in the glasshouse and in field environments. We observed strong genetic associations between glasshouse-based RWC, metabolites, and yield gap-based drought tolerance (YDT; the ratio of yield in water-limited versus well-watered conditions) across 18 field environments spanning sites and seasons. Critically, RWC response to glasshouse drought was strongly associated with both YDT (r(2)=0.85, P<8E-6) and RWC under field drought (r(2)=0.77, P<0.05). Moreover, multiple regression analyses revealed that 98% of genetic YDT variance was explained by drought responses of four metabolites: serine, asparagine, methionine, and lysine (R(2)=0.98; P<0.01). Fitted coefficients suggested that, for given levels of serine and asparagine, stronger methionine and lysine accumulation was associated with higher YDT. Collectively, our results demonstrate that high-throughput, targeted metabolic phenotyping of glasshouse-grown plants may be an effective tool for selection of wheat cultivars with high field-derived YDT. Oxford University Press 2019-09-15 2019-06-13 /pmc/articles/PMC6760313/ /pubmed/31189018 http://dx.doi.org/10.1093/jxb/erz224 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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 | Research Papers Yadav, Arun K Carroll, Adam J Estavillo, Gonzalo M Rebetzke, Greg J Pogson, Barry J Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
title | Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
title_full | Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
title_fullStr | Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
title_full_unstemmed | Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
title_short | Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
title_sort | wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760313/ https://www.ncbi.nlm.nih.gov/pubmed/31189018 http://dx.doi.org/10.1093/jxb/erz224 |
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