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Fang Y, Wang C, Wang Y, Hu J, Lai M, Liu P, Zhang H. Naked-eye detection of plant viral disease using polymerase chain reaction amplification and DNAzyme. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:1003-1011. [PMID: 38269430 DOI: 10.1039/d3ay01367g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
Plant viral diseases can seriously affect the yield and quality of crops. In this work, a convenient and highly sensitive biosensor for the visual detection of plant viral disease is proposed by the PCR-induced generation of DNAzyme. In the absence of nucleic acid for a target plant virus, the primers prohibited the production of G-quadruplex by forming a hairpin structure. However, PCR amplification occurred and generated a number of specific PCR products with free G-quadruplex sequences at both ends in the presence of the target cDNA. A catalytically active G-quadruplex DNAzyme was formed with the help of K+ and hemin, resulting in the formation of colored products visible to the naked eye and a strong absorbance by the addition of ABTS2- and H2O2. The absorbance and the logarithm of target cDNA concentrations showed a good linear relationship in the range of 10 fM-1.0 nM, with a linear regression equation of A = 0.1402 lg c + 0.3761 (c: fM) and a detection limit of 0.19 fM. This method was successfully applied to the analysis of emerging tobacco mosaic virus (TMV) infections in tobacco leaf samples collected in the field due to its flexibility and convenience, indicating a potential application for the early detection of plant viral disease.
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Affiliation(s)
- Yongwei Fang
- College of Tobacco Science, Henan Agricultural University, Zhengzhou, Henan 450002, China.
| | - Chuang Wang
- College of Tobacco Science, Henan Agricultural University, Zhengzhou, Henan 450002, China.
| | - Yuli Wang
- College of Tobacco Science, Henan Agricultural University, Zhengzhou, Henan 450002, China.
| | - Jiandong Hu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan 450002, China
- Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, Henan 450002, China
| | - Miao Lai
- College of Tobacco Science, Henan Agricultural University, Zhengzhou, Henan 450002, China.
| | - Pengfei Liu
- College of Tobacco Science, Henan Agricultural University, Zhengzhou, Henan 450002, China.
| | - Hong Zhang
- College of Tobacco Science, Henan Agricultural University, Zhengzhou, Henan 450002, China.
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Ji Y, Guo Y, Deng H, Zhang J, Wang Y, Dai E, Fan Z, Tang G, Jia M, Ding B. Rapid diagnosis of Tobacco mosaic virus in tobacco using time-resolved fluorescence immunoassay. FOOD AGR IMMUNOL 2023. [DOI: 10.1080/09540105.2023.2185568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2023] Open
Affiliation(s)
- Yuan Ji
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, People’s Republic of China
- Shandong Institute for Food and Drug Control, Jinan, People’s Republic of China
| | - Yushuang Guo
- Key Laboratory of Molecular Genetics, Guizhou Academy of Tobacco Science, Guiyang, People’s Republic of China
| | - Huimin Deng
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, People’s Republic of China
| | - Jianfeng Zhang
- China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, People’s Republic of China
| | - Yuemao Wang
- China Tobacco Yunnan Import & Export Co., Ltd., Kunming, People’s Republic of China
| | - En Dai
- Yunnan Tobacco Co., Ltd. Kunming Branch, Kunming, People’s Republic of China
| | - Ziyan Fan
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, People’s Republic of China
| | - Gangling Tang
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, People’s Republic of China
| | - Mengao Jia
- Key Laboratory of Molecular Genetics, Guizhou Academy of Tobacco Science, Guiyang, People’s Republic of China
| | - Bo Ding
- Shandong Institute for Food and Drug Control, Jinan, People’s Republic of China
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology, Ministry of Education, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
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Jablonski M, Poghossian A, Keusgen M, Wege C, Schöning MJ. Detection of plant virus particles with a capacitive field-effect sensor. Anal Bioanal Chem 2021; 413:5669-5678. [PMID: 34244834 PMCID: PMC8270236 DOI: 10.1007/s00216-021-03448-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 10/25/2022]
Abstract
Plant viruses are major contributors to crop losses and induce high economic costs worldwide. For reliable, on-site and early detection of plant viral diseases, portable biosensors are of great interest. In this study, a field-effect SiO2-gate electrolyte-insulator-semiconductor (EIS) sensor was utilized for the label-free electrostatic detection of tobacco mosaic virus (TMV) particles as a model plant pathogen. The capacitive EIS sensor has been characterized regarding its TMV sensitivity by means of constant-capacitance method. The EIS sensor was able to detect biotinylated TMV particles from a solution with a TMV concentration as low as 0.025 nM. A good correlation between the registered EIS sensor signal and the density of adsorbed TMV particles assessed from scanning electron microscopy images of the SiO2-gate chip surface was observed. Additionally, the isoelectric point of the biotinylated TMV particles was determined via zeta potential measurements and the influence of ionic strength of the measurement solution on the TMV-modified EIS sensor signal has been studied.
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Affiliation(s)
- Melanie Jablonski
- Institute of Nano- and Biotechnologies, FH Aachen, Heinrich-Mußmann-Str. 1, 52428, Jülich, Germany
- Institute of Pharmaceutical Chemistry, Philipps University Marburg, Marbacher Weg 6-10, 35032, Marburg, Germany
| | | | - Michael Keusgen
- Institute of Pharmaceutical Chemistry, Philipps University Marburg, Marbacher Weg 6-10, 35032, Marburg, Germany
| | - Christina Wege
- Institute of Biomaterials and Biomolecular Systems, University of Stuttgart, Pfaffenwaldring 57, 70569, Stuttgart, Germany
| | - Michael J Schöning
- Institute of Nano- and Biotechnologies, FH Aachen, Heinrich-Mußmann-Str. 1, 52428, Jülich, Germany.
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
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Wang W, Li P, Zheng Z, Cheng D, Dong C, Yang H. Highly sensitive fluorescence detection of tobacco mosaic virus RNA based on disodium 4,4′-diazidostilbene-2,2′-disulfonate tetrahydrate in situ reaction. NEW J CHEM 2021. [DOI: 10.1039/d1nj02546e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A novel fluorescent turn-on method for TMV RNA via the reducing ability of an AA and DES in situ reaction was reported.
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Affiliation(s)
- Wenbin Wang
- Henan Key Laboratory of TCM Syndrome and Prescription in Signaling, Henan International Joint Laboratory of TCM Syndrome and Prescription in Signaling, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, P. R. China
| | - Peipei Li
- Pharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, People's Republic of China
| | - Zhixian Zheng
- Pharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, People's Republic of China
| | - Di Cheng
- Pharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, People's Republic of China
| | - Chengming Dong
- Pharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, People's Republic of China
| | - Huaixia Yang
- Pharmacy College, Henan University of Chinese Medicine, Zhengzhou 450046, People's Republic of China
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Antiviral, antifungal, and insecticidal activities of Eucalyptus bark extract: HPLC analysis of polyphenolic compounds. Microb Pathog 2020; 147:104383. [PMID: 32659315 DOI: 10.1016/j.micpath.2020.104383] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/25/2020] [Accepted: 07/06/2020] [Indexed: 01/01/2023]
Abstract
In this study, the antiviral, antifungal, and insecticidal and HPLC analysis of polyphenolic compounds of Eucaluptus camaldulensis Dehnh. bark extract (ECBE) were evaluated. Three fungi, namely Fusarium culmorum MN398395, Rhizoctonia solani MN398397, and Botrytis cinerea MN398399 were used to colonize wood blocks of chinaberry that was previously treated with different concentrations of ECBE at 1%, 2%, and 3%. Antiviral evaluations (protective, curative, and inactivating activities) of the extract at 100 μg/mL were assayed against Tobacco mosaic virus (TMV) MG264131 using the half-leaf method to determine the inhibitory percentage towards the number of local lesions. The protective treatment of Nicotiana glutinosa leaves exhibited excellent activity (72.22%) with a 91.1-fold reduction in TMV-CP accumulation in infected tissues. Furthermore, Real-time quantitative PCR revealed that the expression level of PAL and PR-1 (salicylic acid marker) genes were significantly up regulated at four days-post inoculation (dpi) for all treatments compared to untreated leaves. The insecticidal effect was screened by the contact and fumigant methods against Tribolium castaneum (Herbst) and Sitophilus oryzae L. in vitro. In contact assay, all concentrations 1, 5, 10, 20 and 30 ppm caused 100% toxicity to the two tested pests within 24 h, whereas the fumigant assay, gave the highest mortality against T. castaneum and S. oryzae by 20 ppm (61.66%) and 30 ppm (57.77%), respectively after 24 h. The HPLC analysis of ECBE revealed that benzoic acid, quinol, salicylic acid, myricetin, and rutin were the most abundant polyphenolic compounds found in the extract. In conclusion, when the extract concentration increases, the growth of fungal mycelia was decreased compared with the control, especially against F. culmorum. According to the hypotheses of the results, the ECBE recommended to prevent the wood from discoloration, fungal molds by acting as bio-preservative, also trigger the resistance of plants against viral infection and high toxicity against stored-product insects.
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Fast detection of tobacco mosaic virus infected tobacco using laser-induced breakdown spectroscopy. Sci Rep 2017; 7:44551. [PMID: 28300144 PMCID: PMC5353609 DOI: 10.1038/srep44551] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 02/10/2017] [Indexed: 11/12/2022] Open
Abstract
Tobacco mosaic virus (TMV) is one of the most devastating viruses to crops, which can cause severe production loss and affect the quality of products. In this study, we have proposed a novel approach to discriminate TMV-infected tobacco based on laser-induced breakdown spectroscopy (LIBS). Two different kinds of tobacco samples (fresh leaves and dried leaf pellets) were collected for spectral acquisition, and partial least squared discrimination analysis (PLS-DA) was used to establish classification models based on full spectrum and observed emission lines. The influences of moisture content on spectral profile, signal stability and plasma parameters (temperature and electron density) were also analysed. The results revealed that moisture content in fresh tobacco leaves would worsen the stability of analysis, and have a detrimental effect on the classification results. Good classification results were achieved based on the data from both full spectrum and observed emission lines of dried leaves, approaching 97.2% and 88.9% in the prediction set, respectively. In addition, support vector machine (SVM) could improve the classification results and eliminate influences of moisture content. The preliminary results indicate that LIBS coupled with chemometrics could provide a fast, efficient and low-cost approach for TMV-infected disease detection in tobacco leaves.
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Besong-Ndika J, Wahlsten M, Cardinale D, Pille J, Walter J, Michon T, Mäkinen K. Toward the Reconstitution of a Two-Enzyme Cascade for Resveratrol Synthesis on Potyvirus Particles. FRONTIERS IN PLANT SCIENCE 2016; 7:89. [PMID: 26904061 PMCID: PMC4748245 DOI: 10.3389/fpls.2016.00089] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 01/18/2016] [Indexed: 05/04/2023]
Abstract
The highly ordered protein backbone of virus particles makes them attractive candidates for use as enzyme nano-carriers (ENCs). We have previously developed a non-covalent and versatile approach for adhesion of enzymes to virus particles. This approach makes use of z33, a peptide derived from the B-domain of Staphylococcus aureus protein A, which binds to the Fc domain of many immunoglobulins. We have demonstrated that with specific antibodies addressed against the viral capsid proteins (CPs) an 87% coverage of z33-tagged proteins can be achieved on potyvirus particles. 4-coumarate coenzyme A ligase (4CL2) and stilbene synthase (STS) catalyze consecutive steps in the resveratrol synthetic pathway. In this study, these enzymes were modified to carry an N-terminal z33 peptide and a C-terminal 6xHis tag to obtain (z)4CL2(His) and (z)STS(His), respectively. A protein chimera, (z)4CL2::STS(His), with the same modifications was also generated from the genetic fusion of both mono-enzyme encoding genes. All z33 enzymes were biologically active after expression in Escherichia coli as revealed by LC-MS analysis to identify resveratrol and assembled readily into macromolecular complexes with Potato virus A particles and α-PVA CP antibodies. To test simultaneous immobilization-purification, we applied the double antibody sandwich - ELISA protocol to capture active z33-containg mono-enzymes and protein chimera directly from clarified soluble cell lysates onto the virus particle surface. These immobilized enzymes were able to synthesize resveratrol. We present here a bottom up approach to immobilize active enzymes onto virus-based ENCs and discuss the potential to utilize this method in the purification and configuration of nano-devices.
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Affiliation(s)
- Jane Besong-Ndika
- Division of Microbiology and Biotechnology, Department of Food and Environmental Sciences, University of HelsinkiHelsinki, Finland
- UMR 1332 Biologie du Fruit et Pathologie, INRA-Université BordeauxVillenace d’Ornon, France
| | - Matti Wahlsten
- Division of Microbiology and Biotechnology, Department of Food and Environmental Sciences, University of HelsinkiHelsinki, Finland
| | - Daniela Cardinale
- UMR 1332 Biologie du Fruit et Pathologie, INRA-Université BordeauxVillenace d’Ornon, France
| | - Jan Pille
- UMR 1332 Biologie du Fruit et Pathologie, INRA-Université BordeauxVillenace d’Ornon, France
- Bio-Organic Chemistry, Radboud UniversityNijmegen, Netherlands
| | - Jocelyne Walter
- UMR 1332 Biologie du Fruit et Pathologie, INRA-Université BordeauxVillenace d’Ornon, France
| | - Thierry Michon
- UMR 1332 Biologie du Fruit et Pathologie, INRA-Université BordeauxVillenace d’Ornon, France
- *Correspondence: Thierry Michon, ; Kristiina Mäkinen,
| | - Kristiina Mäkinen
- Division of Microbiology and Biotechnology, Department of Food and Environmental Sciences, University of HelsinkiHelsinki, Finland
- *Correspondence: Thierry Michon, ; Kristiina Mäkinen,
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Pajares G, Peruzzi A, Gonzalez-de-Santos P. Sensors in agriculture and forestry. SENSORS 2013; 13:12132-9. [PMID: 24025558 PMCID: PMC3821358 DOI: 10.3390/s130912132] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/05/2013] [Accepted: 09/09/2013] [Indexed: 11/17/2022]
Affiliation(s)
- Gonzalo Pajares
- Department of Software Engineering and Artificial Intelligence, Faculty of Informatics, University Complutense of Madrid, 28040 Madrid, Spain; E-Mail: ; Tel.: +34-1-394-7546; Fax: +34-1-394-7547
| | - Andrea Peruzzi
- Department of Agriculture, Food and Environment, University of Pisa, Via S. Michele degli Scalzi 2, 56124 Pisa, Italy; E-Mail: ; Tel.: +39-050-221-8942; Fax: +39-050-221-8966
| | - Pablo Gonzalez-de-Santos
- Centre for Automation and Robotics (UPM-CSIC), Arganda del Rey 28500, Madrid, Spain; E-Mail: ; Tel.: +34-1-871-1900; Fax: +34-1-871-7050
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