| Literature DB >> 34922354 |
Zsuzsanna Kolbert1, Réka Szőllősi1, Andrea Rónavári2, Árpád Molnár1.
Abstract
Vital plant functions require at least six metals (copper, iron, molybdenum, manganese, zinc, and nickel), which function as enzyme cofactors or inducers. In recent decades, rapidly evolving nanotechnology has created nanoforms of essential metals and their compounds (e.g. nZnO, nFe2O3) with a number of favourable properties over the bulk materials. The effects of nanometals on plants are concentration-dependent (hormesis) but also depend on the properties of the nanometals, the plant species, and the treatment conditions. Here, we review studies examining plant responses to essential nanometal treatments using a (multi)omics approach and emphasize the importance of gaining a holistic view of the diverse effects. Furthermore, we discuss the beneficial effects of essential nanometals on plants, which provide the basis for their application in crop production as, for example, nanopriming or nanostimulator agents, or nanofertilizers. As lower environmental impact and increased yield can be achieved by the application of essential nanometals, they support sustainable agriculture. Recent studies have actively examined the utilization of green-synthesized metal nanoparticles, which perfectly fit into the environmentally friendly trend of future agriculture. Further knowledge is required before essential nanometals can be safely applied in agriculture, but it is a promising direction that is timely to investigate.Entities:
Keywords: Hormesis; nanofertilization; nanometals; nanopriming; nutrient deficiency; omics
Mesh:
Substances:
Year: 2022 PMID: 34922354 PMCID: PMC8921003 DOI: 10.1093/jxb/erab547
Source DB: PubMed Journal: J Exp Bot ISSN: 0022-0957 Impact factor: 6.992
Fig. 1.Unique properties of nanometals compared with the bulk form, and the phytoeffects and application of nanometals in plant cultivation. The nanoforms of essential metals possess greater surface area and hardness, specific optical, magnetic, and electrical properties, and show antimicrobial effects. Essential nanometals promote growth/yield and induce the synthesis of phytochemicals and protection against abiotic and biotic stressors. The positive effects of essential nanometals on the physiology of plants can be utilized during agricultural approaches such as nanopriming, nanostimulation, nanofertilization, and nanopesticide application. For further details refer to the text.
Fig. 2.Factors determining plant responses to nanometals and the different levels at which plant responses can be examined. Among the characteristics of nanometals, their type, dosage, size, agglomeration, crystal structure, and surface charge are the most important determining factors. The response to essential nanometals also depends on the species, metal tolerance capacity, and developmental stage of the plant. Additionally, the method of application (e.g. foliar spray, irrigation, hydroponics) and the period of exposure to the nanometal also influence its effect. Plants show multi-level responses to nanometal exposure. Genomics, transcriptomics, proteomics, metabolomics, and phenomics studies provide a holistic view about the complex effects of essential nanometals on plants.
Fig. 3.Hormetic effect of increasing doses of essential nanometals on plants. At lower concentrations, nanometals promote plant biomass production and physiological processes, whereas higher nanometal concentrations exert inhibitory effects.
Transcriptomic, proteomic, and metabolomic studies in plants treated with essential nanometals
| Essential nanometal | Plant species | Nanometal treatment | Approach/technology | Most relevant effects | Reference |
|---|---|---|---|---|---|
| Transcriptomics | |||||
| nCuO |
| 10 mg l–1 nCuO (<50 nm) in hydroponics | Microarray/qRT–PCR | 922 regulated genes, e.g. superoxide dismutase ( |
|
| nCuO |
| 100 or 1000 mg l–1 CuO NP (~40-200 nm) via foliage | RNA sequencing/qRT–PCR | 2270 (100 mg l–1 CuO NP) and 4264 (1000 mg l–1 CuO NP) modified genes, e.g. cellulose synthase A catalytic subunit 4 ( |
|
| nZnO |
| 100 ppm ZnO NP (<100 nm) (or TiO NP (<150 nm) or fullerene soot (>7% fullerene) in hydroponics | Microarray/qRT–PCR | 660 up-regulated genes (involved in abiotic and biotic stress responses), 826 down-regulated genes (involved in cell organization and biogenesis, including translation, nucleosome assembly, and microtubule-based process) by ZnO NPs. |
|
| nZnO |
| 100 or 200 mg l–1 ZnO NP (20-45 nm) in agar-solidified medium | RNA sequencing/qRT–PCR | A total of 1024 genes were up-regulated and 447 genes were down-regulated in nZnO-treated seedlings. After 3 d of recovery, 71% of DEGs had returned to normal levels in nZnO-treated seedlings. |
|
| nZnO |
| Foliar spraying with ZnO NPs (20 and 100 mg l–1) | RNA sequencing/qRT–PCR | 808 up-regulated and 103 down-regulated genes in ZnO NP-treated tomato leaves (e.g. nutrient, amino acid and sugar transporters, genes involved in sugar metabolism), and 395 up-regulated and 1127 down-regulated genes in tomato roots (e.g. element transporters, cutin, wax, suberin synthesis, flavonoid biosynthesis, sugar metabolism). |
|
| Proteomics | |||||
| nFe |
| 5 ppm Fe NP (20 nm) via root system | Gel-free/label-free proteomics | The abundance of proteins related to photosynthesis (e.g. ribulose bisphosphate carboxylase small chain clone 512, ribulose bisphosphate carboxylase/oxygenase activase A, phosphoglycerate kinase) and proteins involved in amino acid metabolism (e.g. ketol acid reductoisomerase, probable LL diaminopimelate aminotransferase) was decreased in the drought-tolerant variety. The abundance of proteins involved in photosynthesis (e.g. ribulose bisphosphate carboxylase small chain clone 512, phosphoglycerate kinase) was increased by Fe NP, while amino acid metabolism-related proteins (e.g. glutamate glyoxylate aminotransferase 1, ketol acid reductoisomerase) decreased in the salt-tolerant variety. Of photosynthesis-related proteins, light reaction was enhanced in the salt-tolerant variety compared with the drought-tolerant variety on exposure to Fe NPs. |
|
| nCuO or nFeO |
| 20, 25, 35, or 40 ppm CuO NP (15–30 nm) or FeO NP (20–30 nm) in soil | Proteomics/gel-free | In 25 ppm CuO-treated galaxy-13, Pakistan-13, and NARC-11 wheat varieties, 58, 121, and 25 proteins, respectively, were changed in abundance. Glycolysis and protein degradation-related proteins were increased by both nanometals. |
|
| nCuO |
| 1, 5, 10, or 50 ppm CuO NP (<50 nm) in solution | Proteomics/gel-free | Abundance of proteins related to glycolysis and the tricarboxylic acid cycle was increased by CuO NPs. Proteins related to photosynthesis and tetrapyrrole synthesis were decreased by CuO NPs in both varieties. |
|
| Metabolomics | |||||
| nZnO |
| Metabolomics | In nZnO-exposed root, 104 changed proteins associated with secondary metabolism, cell organization, and hormone metabolism were detected. In the leaf, 16 common proteins were significantly changed in NP-exposed soybean, predominantly associated with photosystem and protein degradation. |
| |
| nCuO |
| 10 mg l–1 CuO NP (490 ± 70 nm) in hydroponics | LC-QToF-MS and LC-Orbitrap-MS untargeted metabolomics platforms | 65 metabolites altered by CuO NPs (e.g. jasmonates, scopoletin and glucosinolate derivatives). Targeted analysis: up-regulation of JA precursors (12-OPDA and dinor-12-OPDA), and down-regulation of the final product (JA). |
|
| nMoO3 |
| 100 or 500 mg l–1 MoO3 NPs (~375–399 nm) in vermiculite-grown plants | UHPLC, LC-MS/MS metabolomics platform | 21 dysregulated metabolites in corn leaves and 53 in wheat leaves. Five more metabolomic pathways were perturbed in wheat leaves compared with corn leaves. Targeted analysis: the amounts of asparagine, fructose, reduced glutathione, and mannose were reprogrammed in both corn and wheat root and leaf. |
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