1
|
Shi R, Liu W, Lian Y, Wang X, Men S, Zeb A, Wang Q, Wang J, Li J, Zheng Z, Zhou Q, Tang J, Sun Y, Wang F, Xing B. Toxicity Mechanisms of Nanoplastics on Crop Growth, Interference of Phyllosphere Microbes, and Evidence for Foliar Penetration and Translocation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:1010-1021. [PMID: 37934921 DOI: 10.1021/acs.est.3c03649] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Despite the increasing prevalence of atmospheric nanoplastics (NPs), there remains limited research on their phytotoxicity, foliar absorption, and translocation in plants. In this study, we aimed to fill this knowledge gap by investigating the physiological effects of tomato leaves exposed to differently charged NPs and foliar absorption and translocation of NPs. We found that positively charged NPs caused more pronounced physiological effects, including growth inhibition, increased antioxidant enzyme activity, and altered gene expression and metabolite composition and even significantly changed the structure and composition of the phyllosphere microbial community. Also, differently charged NPs exhibited differential foliar absorption and translocation, with the positively charged NPs penetrating more into the leaves and dispersing uniformly within the mesophyll cells. Additionally, NPs absorbed by the leaves were able to translocate to the roots. These findings provide important insights into the interactions between atmospheric NPs and crop plants and demonstrate that NPs' accumulation in crops could negatively impact agricultural production and food safety.
Collapse
Affiliation(s)
- Ruiying Shi
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Weitao Liu
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yuhang Lian
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xue Wang
- Department of Plant Biology and Ecology, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Shuzhen Men
- Department of Plant Biology and Ecology, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Aurang Zeb
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Qi Wang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Jianling Wang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Jiantao Li
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Zeqi Zheng
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Qixing Zhou
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Jingchun Tang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yuebing Sun
- Key Laboratory of Original Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Fayuan Wang
- College of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao, Shandong Province 266042, China
| | - Baoshan Xing
- Stockbridge School of Agriculture, University of Massachusetts, Amherst, Massachusetts 01003, United States
| |
Collapse
|
2
|
Li M, Zhang L, Jiang LL, Zhao ZB, Long YH, Chen DM, Bin J, Kang C, Liu YJ. Label-free Raman microspectroscopic imaging with chemometrics for cellular investigation of apple ring rot and nondestructive early recognition using near-infrared reflection spectroscopy with machine learning. Talanta 2024; 267:125212. [PMID: 37741265 DOI: 10.1016/j.talanta.2023.125212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/16/2023] [Accepted: 09/14/2023] [Indexed: 09/25/2023]
Abstract
Apple ring rot caused by Botryosphaeria dothidea can cause fruit decay during the growth and storage stages of apple fruit. Understanding the infection process and cellular defense response at the cellular micro-level holds immense importance in the field of prevention and control. Consequently, there is a pressing need to develop suitable chemical imaging analysis methods. Here we proposed a label-free, high-throughput imaging method for cellular investigation of apple fruit ring rot infected by Botryosphaeria dothidea, based on confocal Raman microspectroscopic imaging technology combined with multivariate curve resolution-alternating least squares algorithm (MCR-ALS). We conducted Raman measurements on every apple fruit and obtain an image cube. This cube was then unfolded into an augmented matrix in a column-wise manner. We proceeded with simultaneous MCR-ALS analysis, resolving the single-substance spectrum and concentration profile from the mixed signals. Lastly, the accurate and pure molecular imaging of low methoxyl pectin, high methoxyl pectin, cellulose, lignin, and phenols were realized by refolding the resolved concentration data to construct the composition image. Thereafter, we realized the study of the spatial-temporal changes distribution of the above substances in the cuticle and cell wall of green and red apples at different stages of infection. The imaging method proposed in this paper is expected to provide a chemical imaging strategy for studying pathogen infection process and fruit defense response at the cellular level. In addition, by utilizing a fiber-optic probe near-infrared reflection spectrometer in conjunction with machine learning, we developed a rapid and non-destructive classification method. This method allows for the timely identification of apples exhibiting early infection by Botryosphaeria dothidea. Notably, both principal component analysis-quadratic discriminant analysis and support vector machine achieved a classification accuracy of 100%.
Collapse
Affiliation(s)
- Mei Li
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, China
| | - Lu Zhang
- Engineering and Technology Research Center of Kiwifruit, Guizhou University, Guiyang, 550025, China
| | - Ling-Li Jiang
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, China
| | - Zhi-Bo Zhao
- Engineering and Technology Research Center of Kiwifruit, Guizhou University, Guiyang, 550025, China
| | - You-Hua Long
- Engineering and Technology Research Center of Kiwifruit, Guizhou University, Guiyang, 550025, China
| | - Dong-Mei Chen
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, China
| | - Jun Bin
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, China
| | - Chao Kang
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, China.
| | - Ya-Juan Liu
- Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA & State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, China.
| |
Collapse
|
3
|
Li C, Zhang C, Liu J, Qu L, Ge Y. l-Glutamate maintains the quality of apple fruit by mediating carotenoid, sorbitol and sucrose metabolisms. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:4944-4955. [PMID: 36944028 DOI: 10.1002/jsfa.12566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/07/2023] [Accepted: 03/21/2023] [Indexed: 06/08/2023]
Abstract
BACKGROUND l-Glutamate is involved in many important chemical reactions in horticultural products and improves postharvest disease resistance. Quality decline of apple fruit caused by senescence and fungus invasion often leads to tremendous losses during logistics. This study was performed to evaluate the variations of quality attributes, carotenoid, sorbitol and sucrose metabolisms in apples (cv. Qiujin) after l-glutamate dipping treatment. RESUITS l-Glutamate immersion maintained high values of L*, a* and b*, flesh firmness, titratable acidity, as well as the total soluble solids, soluble sugar, reducing sugar and ascorbic acid contents in apples. l-Glutamate also decreased mass loss, respiratory rate and ethylene release, enhanced sucrose synthase-cleavage, acid invertase and neutral invertase activities, whereas reduced sorbitol dehydrogenase, sucrose phosphate synthase, sucrose synthase synthesis and sorbitol oxidase activities in apples. Moreover, l-glutamate inhibited lutein, β-carotene and lycopene accumulation, and down-regulated phytoene synthase, lycopene β-cyclase, ζ-carotene desaturase, phytoene desaturase, carotenoid isomerase, ζ-carotene isomerase and carotenoids cleavage dioxygenase gene expressions, but up-regulated 9-cis-epoxycarotenoid dioxygenase gene expression in apples. CONCLUSION Postharvest l-glutamate dipping treatment can keep apple quality by modulating key enzyme activity and gene expression in sorbitol, sucrose and carotenoid metabolisms. © 2023 Society of Chemical Industry.
Collapse
Affiliation(s)
- Canying Li
- College of Food Science and Engineering, Bohai University, 121013, Jinzhou, China
- National and Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, 121013, Jinzhou, China
| | - Chenyang Zhang
- College of Food Science and Engineering, Bohai University, 121013, Jinzhou, China
- National and Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, 121013, Jinzhou, China
| | - Jiaxin Liu
- College of Food Science and Engineering, Bohai University, 121013, Jinzhou, China
- National and Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, 121013, Jinzhou, China
| | - Linhong Qu
- College of Food Science and Engineering, Bohai University, 121013, Jinzhou, China
- National and Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, 121013, Jinzhou, China
| | - Yonghong Ge
- College of Food Science and Engineering, Bohai University, 121013, Jinzhou, China
- National and Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products, 121013, Jinzhou, China
| |
Collapse
|