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Grunwald DJ, Stroschein SM, Grinstead S, Mollov D, Rioux RA, Rakotondrafara AM. Targeting the Highly Conserved 3' Untranslated Region of Iris Severe Mosaic Virus for Sensitive Monitoring of the Disease Prevalence in Iris Production. PLANT DISEASE 2023; 107:3763-3772. [PMID: 37386702 DOI: 10.1094/pdis-04-23-0631-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Iris severe mosaic virus (ISMV, Potyviridae) can threaten the sustainability of iris production and the marketability of the plants. Effective intervention and control strategies require rapid and early detection of viral infections. The wide range of viral symptoms, from asymptomatic to severe chlorosis of the leaves, renders diagnosis solely based on visual indicators ineffective. A nested PCR-based diagnostic assay was developed for the reliable detection of ISMV in iris leaves and in rhizomes. Considering the genetic variability of ISMV, two primer pairs were designed to detect the highly conserved 3' untranslated region (UTR) of the viral genomic RNA. The specificity of the primer pairs was confirmed against four other potyviruses. The sensitivity of detection was enhanced by one order of magnitude using diluted cDNA and a nested approach. Nested PCR facilitated detecting ISMV on field-grown samples beyond the capabilities of a currently available immunological test and in iris rhizome, which would facilitate ensuring clean stock is planted. This approach dramatically improves the detection threshold of ISMV on potentially low virus titer samples. The study provides a practical, accurate, and sensitive tool for the early detection of a deleterious virus that infects a popular ornamental and landscape plant.
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Affiliation(s)
- Derrick J Grunwald
- Department of Plant Pathology, University of Wisconsin, Madison, WI 53705
| | | | - Sam Grinstead
- National Germplasm Resources Laboratory, USDA-ARS, Beltsville, MD 20705
| | - Dimitre Mollov
- Horticultural Crops Disease and Pest Management Research Unit, Corvallis, OR 97330
| | - Renée A Rioux
- Department of Plant Pathology, University of Wisconsin, Madison, WI 53705
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Xu X, Lin X, Wang L, Ma Y, Sun T, Bian X. A Novel Dual Bacteria-Imprinted Polymer Sensor for Highly Selective and Rapid Detection of Pathogenic Bacteria. BIOSENSORS 2023; 13:868. [PMID: 37754102 PMCID: PMC10526176 DOI: 10.3390/bios13090868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/28/2023]
Abstract
The rapid, sensitive, and selective detection of pathogenic bacteria is of utmost importance in ensuring food safety and preventing the spread of infectious diseases. Here, we present a novel, reusable, and cost-effective impedimetric sensor based on a dual bacteria-imprinted polymer (DBIP) for the specific detection of Escherichia coli O157:H7 and Staphylococcus aureus. The DBIP sensor stands out with its remarkably short fabrication time of just 20 min, achieved through the efficient electro-polymerization of o-phenylenediamine monomer in the presence of dual bacterial templates, followed by in-situ template removal. The key structural feature of the DBIP sensor lies in the cavity-free imprinting sites, indicative of a thin layer of bacterial surface imprinting. This facilitates rapid rebinding of the target bacteria within a mere 15 min, while the sensing interface regenerates in just 10 min, enhancing the sensor's overall efficiency. A notable advantage of the DBIP sensor is its exceptional selectivity, capable of distinguishing the target bacteria from closely related bacterial strains, including different serotypes. Moreover, the sensor exhibits high sensitivity, showcasing a low detection limit of approximately 9 CFU mL-1. The sensor's reusability further enhances its cost-effectiveness, reducing the need for frequent sensor replacements. The practicality of the DBIP sensor was demonstrated in the analysis of real apple juice samples, yielding good recoveries. The integration of quick fabrication, high selectivity, rapid response, sensitivity, and reusability makes the DBIP sensor a promising solution for monitoring pathogenic bacteria, playing a crucial role in ensuring food safety and safeguarding public health.
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Affiliation(s)
- Xiaoli Xu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Xiaohui Lin
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Lingling Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yixin Ma
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Tao Sun
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Xiaojun Bian
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Product on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China
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Zhang X, Jian Y, Li Z, Duo H, Guo Z, Fu Y. Optimization of single-tube nested PCR for the detection of Echinococcus spp. Exp Parasitol 2023; 247:108494. [PMID: 36849051 DOI: 10.1016/j.exppara.2023.108494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
Echinococcosis is a serious zoonotic life-threatening parasitic disease caused by metacestodes of Echinococcus spp., and appropriate sensitive diagnosis and genotyping techniques are required to detect infections and study the genetic characterization of Echinococcus spp. isolates. In this study, a single-tube nested PCR (STNPCR) method was developed and evaluated for the detection of Echinococcus spp. DNA based on the COI gene. STNPCR was 100 times more sensitive than conventional PCR and showed the same sensitivity to common nested PCR (NPCR); but with a lower risk of cross-contamination. The limit of detection of the developed STNPCR method was estimated to be 10 copies/μL of the recombinant standard plasmids of Echinococcus spp. COI gene. In clinical application, 8 cyst tissue samples and 12 calcification tissue samples were analysed by conventional PCR with outer and inner primers and resulted in 100.00% (8/8) and 8.33% (1/12), 100.00% (8/8) and 16.67% (2/12) positive reactions, respectively, while STNPCR and NPCR were all able to identify the presence of genomic DNA in 100.00% (8/8) and 83.33% (10/12) of the same samples. Due to its high sensitivity combined with the potential for the elimination of cross-contamination, the STNPCR method was suitable for epidemiological investigations and characteristic genetic studies of Echinococcus spp. tissue samples. The STNPCR method can effectively amplify low concentrations of genomic DNA from calcification samples and cyst residues infected with Echinococcus spp. Subsequently, the sequences of positive PCR products were obtained, which were useful for haplotype analysis, genetic diversity, and evolution studies of Echinococcus spp., and understanding of Echinococcus spp. dissemination and transmission among the hosts.
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Affiliation(s)
- Xueyong Zhang
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, PR China.
| | - Yingna Jian
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, PR China
| | - Zhi Li
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, PR China
| | - Hong Duo
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, PR China
| | - Zhihong Guo
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, PR China
| | - Yong Fu
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, PR China.
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Wang L, Lin X, Liu T, Zhang Z, Kong J, Yu H, Yan J, Luan D, Zhao Y, Bian X. Reusable and universal impedimetric sensing platform for the rapid and sensitive detection of pathogenic bacteria based on bacteria-imprinted polythiophene film. Analyst 2022; 147:4433-4441. [DOI: 10.1039/d2an01122k] [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 bacteria-imprinted polythiophene film (BIF)-based impedimetric sensor was proposed for the rapid and sensitive detection of S. aureus. A significant improvement is the reduced time for both BIF fabrication (15 min) and bacterial capturing (10 min).
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Affiliation(s)
- Lingling Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Xiaohui Lin
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Ting Liu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Zhaohuan Zhang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Jie Kong
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Hai Yu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Juan Yan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Donglei Luan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yong Zhao
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Xiaojun Bian
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Product on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China
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