Arsenic in Rice Agro-Ecosystem: Solutions for Safe and Sustainable Rice Production

Upadhyay, Munish Kumar; Majumdar, Arnab; Kumar, Jisha Suresh; Srivastava, Sudhakar

doi:10.3389/fsufs.2020.00053

Cited by 69 publications

(17 citation statements)

References 68 publications

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“…Apparently, the concentration of inorganic As in Nionoka slightly exceeds the recommended limit for food. Upadhyay et al (2020) enumerated the water management‐based approaches to reduce As in rice grains (Upadhyay et al, 2020). These approaches are needed to be employed for rice varieties like Nionoka with a higher propensity for As absorption.…”

Section: Discussionmentioning

confidence: 99%

Machine learning technique unraveled subspecies‐specific ionomic variation with the preferential mineral enrichment in rice

et al. 2023

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Background and ObjectivesTo enrich micronutrients in rice through breeding, screening a large diversity panel of major sub‐species of rice accessions for their ionomes is necessary.FindingsInductively coupled plasma optical emission spectroscopy (ICP‐OES) was deployed to profile grain ionomes from 1100 rice accessions. Classification models derived for multi‐dimensional ionomics data using random forest model, support vector machine, and artificial neural network predicted three distinct groups differ in ionomic levels with higher prediction accuracy (76.8 – 85.1%). While class A showed inferior lines in mineral content, class B and C represent superior lines with enriched multiple minerals. The identified contrasting lines from the modeling classifications were milled and profiled for minerals and toxic elements using inductively coupled plasma mass spectrometry (ICP‐MS) and revealed donors with an elevated mineral content even higher than the Zn‐biofortified rice lines.ConclusionOverall, the result of this study provided new insights into ionomic variation among subspecies with a preferential enrichment of minerals in temperate japonica and admixed populations coincided with increased grain protein content, while in indica median mineral content is low while selected for increased amylose content.Significance and NoveltyArtificial intelligence models developed to predict grains enriched with multiple minerals.This article is protected by copyright. All rights reserved.

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Section: Discussionmentioning

confidence: 99%

Machine learning technique unraveled subspecies‐specific ionomic variation with the preferential mineral enrichment in rice

et al. 2023

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“…In addition, part of the CuO NPs was reduced to Cu(I) under the 1A+100 and 1B+100 treatments. Moreover, As(III) also appeared on the surface of CuO NPs under As(V) treatment in this study, which might be due to the As(III) efflux by rice root and might have increased the As(III) concentration in the solution [ 30 ]. The decrease and oxidation of As(III) significantly reduced the accumulation of As(III) in the rice roots and shoots ( Figure 2 ).…”

Section: Discussionmentioning

confidence: 99%

Regulatory Mechanism of Copper Oxide Nanoparticles on Uptake of Different Species of Arsenic in Rice

Shi

Jiang

et al. 2021

Nanomaterials

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Copper oxide nanoparticles (CuO NPs) are widely used as a fungicide in agriculture. The application of CuO NPs in agriculture affects the growth of rice and metal accumulation in rice. However, the mechanism of CuO NPs on arsenic (As) accumulation in rice remains unclear. In this study, a hydroponic culture was produced to investigate the mechanism of the effect of 50 and 100 mg L−1 CuO NPs on As accumulation in rice. Our results showed that CuO NPs decreased As(III/V) accumulation in the roots and shoots by adsorbing As(III/V), oxidizing of As(III) on the surface, and thickening the root cell wall. The addition of CuO NPs regulated the expression of the OsNIP1;1, OsHAC1;1, and OsHAC4 genes, which decreased As(III) transport and promoted As(V) reduction in the roots. Moreover, when CuO NPs were co-exposed to As, a negative correlation between the concentration of Cu and As in rice was also found in our study. However, CuO NPs significantly increased Cu accumulation in rice and constrained the rice growth. In conclusion, CuO NPs might be a promising way to decrease As accumulation in rice, but the negative effects such as growth inhibition should be further considered. Therefore, the application of CuO NPs in rice plants should take a more restrained approach.

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“…It is reported that the mechanisms of As-methylation in rice are complex that involves several steps and enzymes [99] , [107] . The methylation of As primarily occurs in roots of plants [8] , [97] , [99] and is influenced by a complex interplay of biotic factors involving microbial activity, plant-microbe interactions, and root exudates, [62] , [110] as well as abiotic factors including soil pH, redox potential, soil organic matter, and the presence of elements like iron and sulphur [19] , [110] . Therefore, understanding these factors is key to managing arsenic contamination in rice cultivation.…”

Section: Uptake and Transport Of As In Rice Plantsmentioning

confidence: 99%

Methylation of arsenic in rice: Mechanisms, factors, and mitigation strategies

Mlangeni

2023

Toxicology Reports

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Arsenic in Rice Agro-Ecosystem: Solutions for Safe and Sustainable Rice Production

Cited by 69 publications

References 68 publications

Machine learning technique unraveled subspecies‐specific ionomic variation with the preferential mineral enrichment in rice

Machine learning technique unraveled subspecies‐specific ionomic variation with the preferential mineral enrichment in rice

Regulatory Mechanism of Copper Oxide Nanoparticles on Uptake of Different Species of Arsenic in Rice

Methylation of arsenic in rice: Mechanisms, factors, and mitigation strategies

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