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      ZnO nanoparticle-based seed priming modulates early growth and enhances physio-biochemical and metabolic profiles of fragrant rice against cadmium toxicity

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          Abstract

          Background

          Cadmium (Cd) is amongst the most toxic heavy metals that severely affects crop growth, whereas application of nanoparticles (NPs) to negate the toxic effects of heavy metals could be an effective management approach. In the present study, the seeds of two fragrant rice varieties i.e., Yuxiangyouzhan and Xiangyaxiangzhan under normal and Cd stress conditions i.e., 0 and 100 mg L − 1 applied with four levels of ZnO NPs i.e., 0, 25, 50, and 100 mg L − 1.

          Results

          Seed priming with ZnO NPs had no significant effect on the seed germination ( p > 0.05) however, it substantially improved the seedling growth and other related physiological attributes under the Cd stress. The mean fresh weight of the shoot, and whole seedling was increased by 16.92–27.88% and by 16.92–27.88% after ZnO NPs application. The root fresh weight, root-shoot length was also substantially improved under ZnO NPs treatment. Moreover, application of ZnO NPs induced modulations in physiological and biochemical attributes e.g., the superoxide dismutase (SOD) activity in root and shoot, the peroxidase (POD) activity and metallothionein contents in root were increased under low levels of ZnO NPs. The α-amylase and total amylase activity were improved by ZnO NPs application under Cd Stress. Besides, modulation in Zn concentration and ZnO NPs uptake in the seedling were detected. The metabolomic analysis indicated that various pathways such as alanine, aspartate and glutamate metabolism, phenylpropanoid biosynthesis, and taurine and hypotaurine metabolism were possibly important for rice response to ZnO NPs and Cd.

          Conclusion

          Overall, application of ZnO NPs substantially improved the early growth and related physio-biochemical attributes in rice. Our findings provide new insights regarding the effects of ZnO NPs on seed germination, and early growth of rice, and its potential applications in developing crop resilience against Cd contaminated soils.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12951-021-00820-9.

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          Most cited references64

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          COPPER ENZYMES IN ISOLATED CHLOROPLASTS. POLYPHENOLOXIDASE IN BETA VULGARIS

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            Tissue sulfhydryl groups

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              MetaboAnalyst: a web server for metabolomic data analysis and interpretation

              Metabolomics is a newly emerging field of ‘omics’ research that is concerned with characterizing large numbers of metabolites using NMR, chromatography and mass spectrometry. It is frequently used in biomarker identification and the metabolic profiling of cells, tissues or organisms. The data processing challenges in metabolomics are quite unique and often require specialized (or expensive) data analysis software and a detailed knowledge of cheminformatics, bioinformatics and statistics. In an effort to simplify metabolomic data analysis while at the same time improving user accessibility, we have developed a freely accessible, easy-to-use web server for metabolomic data analysis called MetaboAnalyst. Fundamentally, MetaboAnalyst is a web-based metabolomic data processing tool not unlike many of today's web-based microarray analysis packages. It accepts a variety of input data (NMR peak lists, binned spectra, MS peak lists, compound/concentration data) in a wide variety of formats. It also offers a number of options for metabolomic data processing, data normalization, multivariate statistical analysis, graphing, metabolite identification and pathway mapping. In particular, MetaboAnalyst supports such techniques as: fold change analysis, t-tests, PCA, PLS-DA, hierarchical clustering and a number of more sophisticated statistical or machine learning methods. It also employs a large library of reference spectra to facilitate compound identification from most kinds of input spectra. MetaboAnalyst guides users through a step-by-step analysis pipeline using a variety of menus, information hyperlinks and check boxes. Upon completion, the server generates a detailed report describing each method used, embedded with graphical and tabular outputs. MetaboAnalyst is capable of handling most kinds of metabolomic data and was designed to perform most of the common kinds of metabolomic data analyses. MetaboAnalyst is accessible at http://www.metaboanalyst.ca
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                Author and article information

                Contributors
                1052773805@qq.com
                852425346@qq.com
                liwujiayou@126.com
                umairashraf2056@gmail.com
                1721678798@qq.com
                tangxr@sacu.edu.cn
                panshenggang@scau.edu.cn
                tianhua@scau.edu.cn
                scaumozhw@126.com
                Journal
                J Nanobiotechnology
                J Nanobiotechnology
                Journal of Nanobiotechnology
                BioMed Central (London )
                1477-3155
                17 March 2021
                17 March 2021
                2021
                : 19
                : 75
                Affiliations
                [1 ]GRID grid.20561.30, ISNI 0000 0000 9546 5767, State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, , College of Agriculture, South China Agricultural University, ; 510642 Guangzhou, China
                [2 ]GRID grid.135769.f, ISNI 0000 0001 0561 6611, Crop Research Institute, , Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of Crop Genetic Improvement, ; Guangdong 510640 Guangzhou, China
                [3 ]GRID grid.440554.4, ISNI 0000 0004 0609 0414, Department of Botany, Division of Science and Technology, , University of Education, ; 54770 Lahore, Punjab Pakistan
                [4 ]GRID grid.418524.e, ISNI 0000 0004 0369 6250, Scientific Observing and Experimental Station of Crop Cultivation in South China, Ministry of Agriculture and Rural Affairs, ; 510642 Guangzhou, China
                Author information
                http://orcid.org/0000-0002-1887-9389
                Article
                820
                10.1186/s12951-021-00820-9
                7968244
                33731120
                c35a32ba-7996-4174-b97b-991d056a1a22
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 November 2020
                : 4 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31601244
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Biotechnology
                zno nps,cd,plant growth,physiological response,metabolomics
                Biotechnology
                zno nps, cd, plant growth, physiological response, metabolomics

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