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Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions

The accumulation of proline impacts the defense mechanisms of plants against the harmful effects of adverse environmental conditions; however, its concentration in plants is associated with the metabolism of N. Therefore, the effects of exogenous organic [glutamate (Glu)/arginine (Arg)] and inorgani...

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Autores principales: Li, Chengzhi, Feng, Yuxi, Tian, Peng, Yu, Xiaozhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611392/
https://www.ncbi.nlm.nih.gov/pubmed/37888654
http://dx.doi.org/10.3390/toxics11100803
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author Li, Chengzhi
Feng, Yuxi
Tian, Peng
Yu, Xiaozhang
author_facet Li, Chengzhi
Feng, Yuxi
Tian, Peng
Yu, Xiaozhang
author_sort Li, Chengzhi
collection PubMed
description The accumulation of proline impacts the defense mechanisms of plants against the harmful effects of adverse environmental conditions; however, its concentration in plants is associated with the metabolism of N. Therefore, the effects of exogenous organic [glutamate (Glu)/arginine (Arg)] and inorganic [nitrate (NO(3)(−))/ammonium (NH(4)(+))] N on the accumulation of proline (Pro) in rice plants under trivalent chromium [Cr(III)] stress were studied through using the mass balance matrix model (MBMM). Application of ‘NH(4)(+)’ showed the largest contribution to the Pro content in rice shoots under different concentrations of Cr(III), followed by ‘NO(3)(−)’, ‘Arg’, and ‘Glu’ applications. On the other hand, ‘Arg’ application displayed the largest contribution to the Pro content in roots under Cr(III) stress, followed by ‘NH(4)(+)’, ‘Glu’, and ‘NO(3)(−)’ applications. The combined application of ‘NH(4)(+)+Arg’ showed the greatest contribution to the Pro content in both roots and shoots of Cr(III)-treated rice seedlings, while the application of ‘NO(3)(−)+Glu’ showed the least contribution to the Pro content in rice seedlings. The current study indicated that the endogenous level of Pro in rice seedlings is quite sensitive to Cr(III) stress under different N sources, and the mathematical modeling showed a reliable result while estimating the relationship between Pro content and N source application.
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spelling pubmed-106113922023-10-28 Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions Li, Chengzhi Feng, Yuxi Tian, Peng Yu, Xiaozhang Toxics Article The accumulation of proline impacts the defense mechanisms of plants against the harmful effects of adverse environmental conditions; however, its concentration in plants is associated with the metabolism of N. Therefore, the effects of exogenous organic [glutamate (Glu)/arginine (Arg)] and inorganic [nitrate (NO(3)(−))/ammonium (NH(4)(+))] N on the accumulation of proline (Pro) in rice plants under trivalent chromium [Cr(III)] stress were studied through using the mass balance matrix model (MBMM). Application of ‘NH(4)(+)’ showed the largest contribution to the Pro content in rice shoots under different concentrations of Cr(III), followed by ‘NO(3)(−)’, ‘Arg’, and ‘Glu’ applications. On the other hand, ‘Arg’ application displayed the largest contribution to the Pro content in roots under Cr(III) stress, followed by ‘NH(4)(+)’, ‘Glu’, and ‘NO(3)(−)’ applications. The combined application of ‘NH(4)(+)+Arg’ showed the greatest contribution to the Pro content in both roots and shoots of Cr(III)-treated rice seedlings, while the application of ‘NO(3)(−)+Glu’ showed the least contribution to the Pro content in rice seedlings. The current study indicated that the endogenous level of Pro in rice seedlings is quite sensitive to Cr(III) stress under different N sources, and the mathematical modeling showed a reliable result while estimating the relationship between Pro content and N source application. MDPI 2023-09-22 /pmc/articles/PMC10611392/ /pubmed/37888654 http://dx.doi.org/10.3390/toxics11100803 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Chengzhi
Feng, Yuxi
Tian, Peng
Yu, Xiaozhang
Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions
title Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions
title_full Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions
title_fullStr Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions
title_full_unstemmed Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions
title_short Mathematical Estimation of Endogenous Proline as a Bioindicator to Regulate the Stress of Trivalent Chromium on Rice Plants Grown in Different Nitrogenous Conditions
title_sort mathematical estimation of endogenous proline as a bioindicator to regulate the stress of trivalent chromium on rice plants grown in different nitrogenous conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611392/
https://www.ncbi.nlm.nih.gov/pubmed/37888654
http://dx.doi.org/10.3390/toxics11100803
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